@article{abbott2020estimating,
  title = {Estimating the Time-Varying Reproduction Number of {{SARS-CoV-2}} Using National and Subnational Case Counts},
  author = {Abbott, Sam and Hellewell, Joel and Thompson, Robin N and Sherratt, Katharine and Gibbs, Hamish P and Bosse, Nikos I and Munday, James D and Meakin, Sophie and Doughty, Emma L and Chun, June Young and others},
  date = {2020},
  journaltitle = {Wellcome Open Res.},
  volume = {5},
  number = {112},
  pages = {112},
  publisher = {{F1000 Research Limited}}
}

@article{acker2006inequality,
  title = {Inequality Regimes: {{Gender}}, Class, and Race in Organizations},
  author = {Acker, Joan},
  date = {2006},
  journaltitle = {Gend. Soc.},
  volume = {20},
  number = {4},
  pages = {441--464},
  publisher = {{Sage Publications Sage CA: Thousand Oaks, CA}}
}

@report{adalovelaceinstituteAdaLovelaceInstitute2020,
  title = {Ada {{Lovelace Institute Rapid Evidence Review}}: {{Exit}} through the {{App Store}}?},
  author = {{Ada Lovelace Institute}},
  date = {2020-04-20},
  institution = {{Ada Lovelace Institute}},
  url = {https://www.adalovelaceinstitute.org/wp-content/uploads/2020/04/Ada-Lovelace-Institute-Rapid-Evidence-Review-Exit-through-the-App-Store-April-2020-2.pdf},
  urldate = {2020-11-09},
  file = {/home/cedarprince/Zotero/storage/IBZ6X85G/Ada-Lovelace-Institute-Rapid-Evidence-Review-Exit-through-the-App-Store-April-2020-2.pdf}
}

@article{adam2020clustering,
  title = {Clustering and Superspreading Potential of Severe Acute Respiratory Syndrome Coronavirus 2 ({{SARS-CoV-2}}) Infections in {{Hong Kong}}},
  author = {Adam, Dillon and Wu, Peng and Wong, Jessica and Lau, Eric and Tsang, Tim and Cauchemez, Simon and Leung, Gabriel and Cowling, Benjamin},
  date = {2020}
}

@article{adler2005self,
  title = {Self-Injurers as Loners: {{The}} Social Organization of Solitary Deviance},
  author = {Adler, Patricia A and Adler, Peter},
  date = {2005},
  journaltitle = {Deviant Behav.},
  volume = {26},
  number = {4},
  pages = {345--378},
  publisher = {{Taylor \& Francis}}
}

@article{aeschbacher2017heart,
  title = {Heart Rate, Heart Rate Variability and Inflammatory Biomarkers among Young and Healthy Adults},
  author = {Aeschbacher, Stefanie and Schoen, Tobias and Dörig, Laura and Kreuzmann, Rahel and Neuhauser, Charlotte and Schmidt-Trucksäss, Arno and Probst-Hensch, Nicole M and Risch, Martin and Risch, Lorenz and Conen, David},
  date = {2017},
  journaltitle = {Ann. Med.},
  volume = {49},
  number = {1},
  pages = {32--41},
  publisher = {{Taylor \& Francis}}
}

@online{agencyforhealthcareresearchandqualityAllPayerClaimsDatabases2018,
  title = {All-{{Payer Claims Databases}}},
  author = {{Agency for Healthcare Research and Quality}},
  date = {2018-02},
  url = {https://www.ahrq.gov/data/apcd/index.html},
  langid = {english},
  organization = {{Agency for Healthcare Research and Quality}},
  file = {/home/cedarprince/Zotero/storage/5BWX2FAM/All-Payer Claims Databases.pdf}
}

@book{ahrensHowTakeSmart2017,
  title = {How to {{Take Smart Notes}}: {{One Simple Technique}} to {{Boost Writing}}, {{Learning}} and {{Thinking}} – for {{Students}}, {{Academics}} and {{Nonfiction Book Writers}}},
  author = {Ahrens, Sönke},
  date = {2017},
  langid = {english},
  file = {/home/src/Offline/Papers/ahrens_2017_how to take smart notes.pdf}
}

@article{allenDataVisualizationNeurosciences2012,
  title = {Data {{Visualization}} in the {{Neurosciences}}: {{Overcoming}} the {{Curse}} of {{Dimensionality}}},
  shorttitle = {Data {{Visualization}} in the {{Neurosciences}}},
  author = {Allen, Elena~A. and Erhardt, Erik~B. and Calhoun, Vince~D.},
  date = {2012-05},
  journaltitle = {Neuron},
  volume = {74},
  number = {4},
  pages = {603--608},
  issn = {08966273},
  doi = {10.1016/j.neuron.2012.05.001},
  langid = {english},
  file = {/home/src/Papers/allen et al_2012_data visualization in the neurosciences.pdf}
}

@article{altman1994diagnostic,
  title = {Diagnostic Tests. 1: {{Sensitivity}} and Specificity.},
  author = {Altman, Douglas G and Bland, J Martin},
  date = {1994},
  journaltitle = {BMJ},
  volume = {308},
  number = {6943},
  pages = {1552},
  publisher = {{BMJ Publishing Group}}
}

@article{andesDiabetesPrevalenceIncidence2019,
  title = {Diabetes {{Prevalence}} and {{Incidence Among Medicare Beneficiaries}} — {{United States}}, 2001–2015},
  author = {Andes, Linda J. and Li, Yanfeng and Srinivasan, Meera and Benoit, Stephen R. and Gregg, Edward and Rolka, Deborah B.},
  date = {2019-11-01},
  journaltitle = {MMWR Morb. Mortal. Wkly. Rep.},
  volume = {68},
  number = {43},
  pages = {961--966},
  issn = {0149-2195, 1545-861X},
  doi = {10.15585/mmwr.mm6843a2},
  langid = {english},
  file = {/home/cedarprince/Zotero/storage/3B7BVYDJ/Andes et al. - 2019 - Diabetes Prevalence and Incidence Among Medicare B.pdf}
}

@online{AnkiPowerfulIntelligent,
  title = {Anki - Powerful, Intelligent Flashcards},
  url = {https://apps.ankiweb.net/},
  urldate = {2020-06-07},
  file = {/home/cedarprince/Zotero/storage/E778FIUV/apps.ankiweb.net.html}
}

@online{araujoAnimacoesEmJulia2020,
  title = {Animações Em {{Julia}} Com o {{Javis}}.Jl},
  author = {Araújo, Adeil and Oliveira, Meirivâni},
  date = {2020-12-06},
  url = {https://juliacomfisica.github.io/menu2/#anima%C3%A7%C3%B5es_em_julia_com_o_javisjl},
  urldate = {2020-12-07},
  file = {/home/cedarprince/Zotero/storage/5DRYDBI9/menu2.html}
}

@article{arigaBriefRareMental2011,
  title = {Brief and Rare Mental “Breaks” Keep You Focused: {{Deactivation}} and Reactivation of Task Goals Preempt Vigilance Decrements},
  shorttitle = {Brief and Rare Mental “Breaks” Keep You Focused},
  author = {Ariga, Atsunori and Lleras, Alejandro},
  date = {2011-03},
  journaltitle = {Cognition},
  volume = {118},
  number = {3},
  pages = {439--443},
  issn = {00100277},
  doi = {10.1016/j.cognition.2010.12.007},
  abstract = {We newly propose that the vigilance decrement occurs because the cognitive control system fails to maintain active the goal of the vigilance task over prolonged periods of time (goal habituation). Further, we hypothesized that momentarily deactivating this goal (via a switch in tasks) would prevent the activation level of the vigilance goal from ever habituating. We asked observers to perform a visual vigilance task while maintaining digits in-memory. When observers retrieved the digits at the end of the vigilance task, their vigilance performance steeply declined over time. However, when observers were asked to sporadically recollect the digits during the vigilance task, the vigilance decrement was averted. Our results present a direct challenge to the pervasive view that vigilance decrements are due to a depletion of attentional resources and provide a tractable mechanism to prevent this insidious phenomenon in everyday life.},
  langid = {english},
  file = {/Users/jzelko3/Knowledgebase/Papers/ariga_lleras_2011_brief and rare mental “breaks” keep you focused.pdf}
}

@article{asadi2020central,
  title = {Central Nervous System Manifestations of {{COVID-19}}: {{A}} Systematic Review},
  author = {Asadi-Pooya, Ali A and Simani, Leila},
  date = {2020},
  journaltitle = {J. Neurol. Sci.},
  pages = {116832},
  publisher = {{Elsevier}}
}

@article{atdjian2005disparities,
  title = {Disparities in Mental Health Treatment in {{US}} Racial and Ethnic Minority Groups: {{Implications}} for Psychiatrists},
  author = {Atdjian, Sylvia and Vega, William A},
  date = {2005},
  journaltitle = {Psychiatr. Serv.},
  volume = {56},
  number = {12},
  pages = {1600--1602},
  publisher = {{Am Psychiatric Assoc}}
}

@article{austenPridePrejudice,
  title = {Pride and {{Prejudice}}},
  author = {Austen, Jane},
  pages = {146},
  langid = {english},
  file = {/home/src/Papers/austen_pride and prejudice.pdf}
}

@misc{AutismStatisticsFacts,
  title = {Autism {{Statistics}} and {{Facts}}},
  publisher = {{Autism Speaks}},
  url = {https://www.autismspeaks.org/autism-statistics},
  urldate = {2020-04-26},
  abstract = {Click here for autism statistics and facts on autism causes, the prevalence of autism in children, associated medical conditions, economic costs and more.},
  langid = {english},
  file = {/home/cedarprince/Zotero/storage/AG6GP53S/autism-statistics.html}
}

@book{axlerLinearAlgebraDone2015,
  title = {Linear {{Algebra Done Right}}},
  author = {Axler, Sheldon},
  date = {2015},
  series = {Undergraduate {{Texts}} in {{Mathematics}}},
  publisher = {{Springer International Publishing}},
  location = {{Cham}},
  doi = {10.1007/978-3-319-11080-6},
  isbn = {978-3-319-11079-0 978-3-319-11080-6},
  langid = {english},
  file = {/home/src/Papers/axler_2015_linear algebra done right.pdf}
}

@online{bauerCOVID19CrisisHas2020,
  title = {The {{COVID-19 Crisis Has Already Left Too Many Children Hungry}} in {{America}}},
  author = {Bauer, Lauren},
  date = {2020-05-06},
  url = {https://www.hamiltonproject.org/blog/the_covid_19_crisis_has_already_left_too_many_children_hungry_in_america},
  urldate = {2020-11-08},
  abstract = {The Hamilton Project seeks to advance America's promise of opportunity, prosperity, and growth.},
  organization = {{The Hamilton Project}},
  file = {/home/cedarprince/Zotero/storage/WYJXHZE8/the_covid_19_crisis_has_already_left_too_many_children_hungry_in_america.html}
}

@book{baumeister2007encyclopedia,
  title = {Encyclopedia of Social Psychology},
  author = {Baumeister, Roy F and Vohs, Kathleen D},
  date = {2007},
  volume = {1},
  publisher = {{Sage}}
}

@article{bayley2013challenges,
  title = {Challenges in Using Electronic Health Record Data for {{CER}}: Experience of 4 Learning Organizations and Solutions Applied},
  author = {Bayley, K Bruce and Belnap, Tom and Savitz, Lucy and Masica, Andrew L and Shah, Nilay and Fleming, Neil S},
  date = {2013},
  journaltitle = {Med. Care},
  pages = {S80--S86},
  publisher = {{JSTOR}}
}

@article{bechara1999different,
  title = {Different Contributions of the Human Amygdala and Ventromedial Prefrontal Cortex to Decision-Making},
  author = {Bechara, Antoine and Damasio, Hanna and Damasio, Antonio R and Lee, Gregory P},
  date = {1999},
  journaltitle = {J. Neurosci.},
  volume = {19},
  number = {13},
  pages = {5473--5481},
  publisher = {{Soc Neuroscience}}
}

@article{bedecarrats2019all,
  title = {All That Glitters Is Not Gold. {{The}} Political Economy of Randomized Evaluations in Development},
  author = {Bédécarrats, Florent and Guérin, Isabelle and Roubaud, François},
  date = {2019},
  journaltitle = {Dev. Change},
  volume = {50},
  number = {3},
  pages = {735--762},
  publisher = {{Wiley Online Library}}
}

@article{bediAutomatedAnalysisFree2015,
  title = {Automated Analysis of Free Speech Predicts Psychosis Onset in High-Risk Youths},
  author = {Bedi, Gillinder and Carrillo, Facundo and Cecchi, Guillermo A and Slezak, Diego Fernández and Sigman, Mariano and Mota, Natália B and Ribeiro, Sidarta and Javitt, Daniel C and Copelli, Mauro and Corcoran, Cheryl M},
  date = {2015-12},
  journaltitle = {npj Schizophr},
  volume = {1},
  number = {1},
  pages = {15030},
  issn = {2334-265X},
  doi = {10.1038/npjschz.2015.30},
  abstract = {BACKGROUND/OBJECTIVES: Psychiatry lacks the objective clinical tests routinely used in other specializations. Novel computerized methods to characterize complex behaviors such as speech could be used to identify and predict psychiatric illness in individuals. AIMS: In this proof-of-principle study, our aim was to test automated speech analyses combined with Machine Learning to predict later psychosis onset in youths at clinical high-risk (CHR) for psychosis. METHODS: Thirty-four CHR youths (11 females) had baseline interviews and were assessed quarterly for up to 2.5 years; five transitioned to psychosis. Using automated analysis, transcripts of interviews were evaluated for semantic and syntactic features predicting later psychosis onset. Speech features were fed into a convex hull classification algorithm with leave-one-subject-out cross-validation to assess their predictive value for psychosis outcome. The canonical correlation between the speech features and prodromal symptom ratings was computed. RESULTS: Derived speech features included a Latent Semantic Analysis measure of semantic coherence and two syntactic markers of speech complexity: maximum phrase length and use of determiners (e.g., which). These speech features predicted later psychosis development with 100\% accuracy, outperforming classification from clinical interviews. Speech features were significantly correlated with prodromal symptoms. CONCLUSIONS: Findings support the utility of automated speech analysis to measure subtle, clinically relevant mental state changes in emergent psychosis. Recent developments in computer science, including natural language processing, could provide the foundation for future development of objective clinical tests for psychiatry. npj Schizophrenia (2015) 1, Article number: 15030; doi:10.1038/npjschz.2015.30; published online 26 August 2015},
  langid = {english},
  file = {/home/src/Offline/Papers/bedi et al_2015_automated analysis of free speech predicts psychosis onset in high-risk youths.pdf}
}

@article{BenchmarkTools.jl-2016,
  title = {Robust Benchmarking in Noisy Environments},
  author = {Chen, Jiahao and Revels, Jarrett},
  date = {2016-08},
  journaltitle = {arXiv e-prints},
  eprint = {1608.04295},
  eprinttype = {arxiv},
  primaryclass = {cs.PF},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System},
  adsurl = {https://ui.adsabs.harvard.edu/abs/2016arXiv160804295C},
  archiveprefix = {arXiv},
  eid = {arXiv:1608.04295},
  keywords = {68N30,B.8.1,Computer Science - Performance,D.2.5}
}

@article{bennettFunctionalOutcomeIntracranial2017a,
  title = {Functional {{Outcome After Intracranial Pressure Monitoring}} for {{Children With Severe Traumatic Brain Injury}}},
  author = {Bennett, Tellen D. and DeWitt, Peter E. and Greene, Tom H. and Srivastava, Rajendu and Riva-Cambrin, Jay and Nance, Michael L. and Bratton, Susan L. and Runyan, Desmond K. and Dean, J. Michael and Keenan, Heather T.},
  date = {2017-10-01},
  journaltitle = {JAMA Pediatr},
  volume = {171},
  number = {10},
  pages = {965},
  issn = {2168-6203},
  doi = {10.1001/jamapediatrics.2017.2127},
  abstract = {OBJECTIVE To test the hypothesis that ICP monitoring is associated with improved functional survival of children with severe TBI. DESIGN, SETTING, AND PARTICIPANTS A propensity-weighted effectiveness analysis was conducted using 2 linked national databases with data from 30 US children’s hospitals from January 1, 2007, to December 31, 2012, on 3084 children with severe TBI. Clinical events including neurosurgical procedures were identified using validated computable phenotypes. Data analysis was conducted from September 1, 2016, to March 1, 2017. EXPOSURE Placement of an ICP monitor. Editorial page 942 Author Audio Interview Journal Club Slides and Supplemental content CME Quiz at jamanetwork.com/learning and CME Questions page 1023 MAIN OUTCOMES AND MEASURES A composite of hospital mortality, discharge to hospice, or survival with placement of new tracheostomy and gastrostomy tubes. RESULTS Of the 3084 children in the study (1128 girls and 1956 boys; mean [SD] age, 7.03 [5.44] years), 1002 (32.4\%) underwent ICP monitoring, with substantial hospital variation (6\% to 50\% by hospital). Overall, 484 children (15.7\%) experienced the primary composite outcome. A propensity approach using matching weights generated good covariate balance between those who did and those who did not undergo ICP monitoring. Using a propensity-weighted logistic regression model clustered by hospital, no statistically significant difference was found in functional survival between monitored and unmonitored patients (odds ratio of poor outcome among those who underwent ICP monitoring, 1.31; 95\% CI, 0.99-1.74). In a prespecified secondary analysis, no difference in mortality was found (odds ratio, 1.16; 95\% CI, 0.89-1.50). Prespecified subgroup analyses of children younger and older than 2 years of age and among those with unintentional and inflicted (intentional) injuries also showed no difference in outcome with ICP monitoring. CONCLUSIONS AND RELEVANCE With the use of linked national data and validated computable phenotypes, no evidence was found of a benefit from ICP monitoring on functional survival of children with severe TBI. Intracranial pressure monitoring is a widely but inconsistently used technology with incompletely demonstrated effectiveness. A large prospective cohort study or randomized trial is needed.},
  langid = {english},
  file = {/home/src/Papers/bennett et al_2017_functional outcome after intracranial pressure monitoring for children with.pdf}
}

@online{benzBulletJournalGTD2016,
  title = {Bullet {{Journal}} + {{GTD}} for {{Maximum Productivity}}},
  author = {Benz, Kara},
  date = {2016-04-22T11:00:38+00:00},
  url = {https://www.bohoberry.com/bullet-journal-gtd/},
  urldate = {2020-03-19},
  abstract = {There are many ways to implement GTD (digitally, paper-based systems, etc.) I decided to go with one that felt the most natural to me - putting pen to paper},
  langid = {american},
  organization = {{Boho Berry}},
  file = {/home/cedarprince/Zotero/storage/4N89IANR/bullet-journal-gtd.html}
}

@article{bezanson2017julia,
  title = {Julia: {{A}} Fresh Approach to Numerical Computing},
  author = {Bezanson, Jeff and Edelman, Alan and Karpinski, Stefan and Shah, Viral B},
  date = {2017},
  journaltitle = {SIAM Rev.},
  volume = {59},
  number = {1},
  pages = {65--98},
  publisher = {{SIAM}},
  url = {https://doi.org/10.1137/141000671}
}

@article{bi2020epidemiology,
  title = {Epidemiology and Transmission of {{COVID-19}} in 391 Cases and 1286 of Their Close Contacts in {{Shenzhen}}, {{China}}: A Retrospective Cohort Study},
  author = {Bi, Qifang and Wu, Yongsheng and Mei, Shujiang and Ye, Chenfei and Zou, Xuan and Zhang, Zhen and Liu, Xiaojian and Wei, Lan and Truelove, Shaun A and Zhang, Tong and others},
  date = {2020},
  journaltitle = {Lancet Infect. Dis.},
  publisher = {{Elsevier}}
}

@article{biswalFunctionalConnectivityMotor1995,
  title = {Functional Connectivity in the Motor Cortex of Resting Human Brain Using Echo-Planar {{MRI}}},
  author = {Biswal, B. and Yetkin, F. Z. and Haughton, V. M. and Hyde, J. S.},
  date = {1995-10},
  journaltitle = {Magn Reson Med},
  volume = {34},
  number = {4},
  eprint = {8524021},
  eprinttype = {pmid},
  pages = {537--541},
  issn = {0740-3194},
  doi = {10.1002/mrm.1910340409},
  abstract = {An MRI time course of 512 echo-planar images (EPI) in resting human brain obtained every 250 ms reveals fluctuations in signal intensity in each pixel that have a physiologic origin. Regions of the sensorimotor cortex that were activated secondary to hand movement were identified using functional MRI methodology (FMRI). Time courses of low frequency ({$<$} 0.1 Hz) fluctuations in resting brain were observed to have a high degree of temporal correlation (P {$<$} 10(-3)) within these regions and also with time courses in several other regions that can be associated with motor function. It is concluded that correlation of low frequency fluctuations, which may arise from fluctuations in blood oxygenation or flow, is a manifestation of functional connectivity of the brain.},
  langid = {english},
  keywords = {Acoustic Stimulation,Adult,Brain,Cerebrovascular Circulation,Echo-Planar Imaging,Electroencephalography,Female,Fingers,Hand,Humans,Magnetic Resonance Imaging,Male,Motor Cortex,Motor Skills,Movement,Neurons,Oxygen,Photic Stimulation,Psychomotor Performance,Rest,Somatosensory Cortex}
}

@article{bjork1994memory,
  title = {Memory and Metamemory Considerations in The},
  author = {Bjork, Robert A},
  date = {1994},
  journaltitle = {Metacognition Knowing Knowing},
  volume = {185}
}

@article{bjork2011making,
  title = {Making Things Hard on Yourself, but in a Good Way: {{Creating}} Desirable Difficulties to Enhance Learning},
  author = {Bjork, Elizabeth L and Bjork, Robert A and others},
  date = {2011},
  journaltitle = {Psychol. Real World Essays Illus. Fundam. Contrib. Soc.},
  volume = {2},
  number = {59-68},
  file = {/Users/jzelko3/Knowledgebase/Papers/bjork et al_2011_making things hard on yourself, but in a good way.pdf}
}

@article{blane2002evolution,
  title = {The Evolution of Public Health Policy},
  author = {Blane, David and Brunner, Eric and Wilkinson, Richard},
  date = {2002},
  journaltitle = {Health Soc. Organ. Health Policy 21st Century},
  pages = {1},
  publisher = {{Routledge}}
}

@article{bonneh2001motion,
  title = {Motion-Induced Blindness in Normal Observers},
  author = {Bonneh, Yoram S and Cooperman, Alexander and Sagi, Dov},
  date = {2001},
  journaltitle = {Nature},
  volume = {411},
  number = {6839},
  pages = {798--801},
  publisher = {{Nature Publishing Group}}
}

@article{borzekowski2010ana,
  title = {E-{{Ana}} and e-{{Mia}}: {{A}} Content Analysis of pro–Eating Disorder Web Sites},
  author = {Borzekowski, Dina LG and Schenk, Summer and Wilson, Jenny L and Peebles, Rebecka},
  date = {2010},
  journaltitle = {Am. J. Public Health},
  volume = {100},
  number = {8},
  pages = {1526--1534},
  publisher = {{American Public Health Association}}
}

@article{bosma1997low,
  title = {Low Job Control and Risk of Coronary Heart Disease in {{Whitehall II}} (Prospective Cohort) Study},
  author = {Bosma, Hans and Marmot, Michael G and Hemingway, Harry and Nicholson, Amanda C and Brunner, Eric and Stansfeld, Stephen A},
  date = {1997},
  journaltitle = {Bmj},
  volume = {314},
  number = {7080},
  pages = {558},
  publisher = {{British Medical Journal Publishing Group}}
}

@book{boucseinElectrodermalActivity2012,
  title = {Electrodermal {{Activity}}},
  author = {Boucsein, Wolfram},
  date = {2012},
  publisher = {{Springer US}},
  location = {{Boston, MA}},
  doi = {10.1007/978-1-4614-1126-0},
  isbn = {978-1-4614-1125-3 978-1-4614-1126-0},
  langid = {english},
  file = {/home/src/Offline/Papers/boucsein_2012_electrodermal activity.pdf}
}

@article{bourke2005effect,
  title = {Effect of Template Complexity on Visual Search and Dual-Task Performance},
  author = {Bourke, Patrick A and Duncan, John},
  date = {2005},
  journaltitle = {Psychol. Sci.},
  volume = {16},
  number = {3},
  pages = {208--213},
  publisher = {{SAGE Publications Sage CA: Los Angeles, CA}}
}

@book{bradburyPrinciplesAnimatlCommunication2011,
  title = {Principles of {{Animatl Communication}}},
  shorttitle = {Second {{Edition Companion Website}}},
  author = {Bradbury, J. W. and Vehrencamp, S. L.},
  date = {2011},
  edition = {2},
  publisher = {{Sinauer}},
  url = {http://sites.sinauer.com/animalcommunication2e}
}

@article{braddock2017state,
  title = {The State of the States in Intellectual and Developmental Disabilities, 2017 Washington},
  author = {Braddock, DL and Hemp, R and Tanis, ES and Wu, J and Haffer, L},
  date = {2017},
  journaltitle = {DC Am. Assoc. Intellect. Dev. Disabil.}
}

@article{bradley2007emotion,
  title = {Emotion and Motivation.},
  author = {Bradley, Margaret M and Lang, Peter J},
  date = {2007},
  publisher = {{Cambridge University Press}}
}

@article{bradley2009natural,
  title = {Natural Selective Attention: {{Orienting}} and Emotion},
  author = {Bradley, Margaret M},
  date = {2009},
  journaltitle = {Psychophysiology},
  volume = {46},
  number = {1},
  pages = {1--11},
  publisher = {{Wiley Online Library}}
}

@article{braithwaiteAutomatedPartlyAutomated2020,
  title = {Automated and Partly Automated Contact Tracing: A Systematic Review to Inform the Control of {{COVID-19}}},
  shorttitle = {Automated and Partly Automated Contact Tracing},
  author = {Braithwaite, Isobel and Callender, Thomas and Bullock, Miriam and Aldridge, Robert W},
  date = {2020-11},
  journaltitle = {The Lancet Digital Health},
  volume = {2},
  number = {11},
  pages = {e607-e621},
  issn = {25897500},
  doi = {10.1016/S2589-7500(20)30184-9},
  langid = {english},
  file = {/home/src/Papers/braithwaite et al_2020_automated and partly automated contact tracing.pdf}
}

@article{breenTranslationalHealthDisparities2019,
  title = {Translational {{Health Disparities Research}} in a {{Data-Rich World}}},
  author = {Breen, Nancy and Berrigan, David and Jackson, James S. and Wong, David W.S. and Wood, Frederick B. and Denny, Joshua C. and Zhang, Xinzhi and Bourne, Philip E.},
  date = {2019-11-01},
  journaltitle = {Health Equity},
  volume = {3},
  number = {1},
  pages = {588--600},
  issn = {2473-1242},
  doi = {10.1089/heq.2019.0042},
  abstract = {Background: Despite decades of research and interventions, significant health disparities persist. Seventeen years is the estimated time to translate scientific discoveries into public health action. This Narrative Review argues that the translation process could be accelerated if representative data were gathered and used in more innovative and efficient ways. Methods: The National Institute on Minority Health and Health Disparities led a multiyear visioning process to identify research opportunities designed to frame the next decade of research and actions to improve minority health and reduce health disparities. ‘‘Big data’’ was identified as a research opportunity and experts collaborated on a systematic vision of how to use big data both to improve the granularity of information for place-based study and to efficiently translate health disparities research into improved population health. This Narrative Review is the result of that collaboration. Results: Big data could enhance the process of translating scientific findings into reduced health disparities by contributing information at fine spatial and temporal scales suited to interventions. In addition, big data could fill pressing needs for health care system, genomic, and social determinant data to understand mechanisms. Finally, big data could lead to appropriately personalized health care for demographic groups. Rich new resources, including social media, electronic health records, sensor information from digital devices, and crowd-sourced and citizen-collected data, have the potential to complement more traditional data from health surveys, administrative data, and investigator-initiated registries or cohorts. This Narrative Review argues for a renewed focus on translational research cycles to accomplish this continual assessment. Conclusion: The promise of big data extends from etiology research to the evaluation of large-scale interventions and offers the opportunity to accelerate translation of health disparities studies. This data-rich world for health disparities research, however, will require continual assessment for efficacy, ethical rigor, and potential algorithmic or system bias.},
  langid = {english},
  file = {/Users/jzelko3/Knowledgebase/Papers/Breen et al_2019_Translational Health Disparities Research in a Data-Rich World.pdf}
}

@book{brett2009reconstructing,
  title = {Reconstructing Development Theory: {{International}} Inequality, Institutional Reform and Social Emancipation},
  author = {Brett, Edwin Allan},
  date = {2009},
  publisher = {{Macmillan International Higher Education}}
}

@article{brotsky2007inside,
  title = {Inside the “pro-Ana” Community: {{A}} Covert Online Participant Observation},
  author = {Brotsky, Sarah R and Giles, David},
  date = {2007},
  journaltitle = {Eat. Disord.},
  volume = {15},
  number = {2},
  pages = {93--109},
  publisher = {{Taylor \& Francis}}
}

@book{brown1994introduction,
  title = {An Introduction to Neuroendocrinology},
  author = {Brown, Richard and Brown, Richard Eric and Brown, Richard E},
  date = {1994},
  publisher = {{Cambridge University Press}}
}

@article{brownFundamentalTheoremExponential1961,
  title = {The {{Fundamental Theorem}} of {{Exponential Smoothing}}},
  author = {Brown, Robert G. and Meyer, Richard F. and D'Esopo, D. A.},
  date = {1961},
  journaltitle = {Oper. Res.},
  volume = {9},
  number = {5},
  eprint = {166814},
  eprinttype = {jstor},
  pages = {673--687},
  langid = {english},
  file = {/home/src/Offline/Papers/brown et al_1961_the fundamental theorem of exponential smoothing.pdf}
}

@misc{brownLearnPlover2021,
  title = {Learn {{Plover}}!},
  author = {Brown, Zach},
  date = {2021},
  file = {/home/src/Papers/brown_2021_learn plover.pdf}
}

@book{brownMakeItStick2014,
  title = {Make It Stick: The Science of Successful Learning},
  shorttitle = {Make It Stick},
  author = {Brown, Peter C.},
  date = {2014},
  publisher = {{The Belknap Press of Harvard University Press}},
  location = {{Cambridge, Massachusetts}},
  isbn = {978-0-674-72901-8},
  langid = {english},
  pagetotal = {313},
  keywords = {Cognition,Learning,Research,Study skills},
  file = {/home/src/Papers/brown_2014_make it stick.pdf}
}

@video{BulletJournalBasicsa,
  title = {Bullet {{Journal Basics}} | {{My Daily Layout}} \& {{Upgraded Rapid Logging}} in a {{BuJo}}},
  url = {https://www.youtube.com/watch?v=x_Xq4c9AdOk},
  urldate = {2020-03-19},
  abstract = {Setting your first bullet journal can be a pretty confusing process! This series of bullet journal basics helps you create a useful daily layout, learn "upgraded" rapid logging, and how to connect weekly goals and objectives to the daily log. It's perfect for setting up a new bullet journal!  Keep an eye on my channel and this playlist for new videos in the bullet journal basics series! I will also cover daily bullet journal spreads, monthly bujo layouts, and more!  My name is Matt Ragland and I make videos about using a minimalist bullet journal to focus on what matters most to you. I’ll show you how to use concepts like 10 Blocks, Time Tracking Grids, and Project Timelines to quickly see what needs to be done and when.     You can look for these videos every week, so please hit subscribe to stay in the loop for each new show!  ==================================================    Learn more about the 10 Blocks here: https://youtu.be/jckqcRTntVg  and Time Tracking here: https://youtu.be/kgzx047m-gY    Download all of my Bullet Journal productivity resources, including the 10 Block Method, Time Tracking Grids, and Monthly Plan at http://bulletjournalguy.com. You'll also be able to enter the 5 Day Time Track Challenge to see where your time is spent each day.     *Bullet Journal Supplies*   https://www.amazon.com/shop/mattragland    *Notebook from Baron Fig*   Get \$10 off your first Baron Fig order with my code: http://baronfig.refr.cc/mcragland    If you've ordered from Baron Fig before, please use my code to purchase additional products: https://www.baronfig.com/?ref=mattrag...    ==================================================  You can find me in other places too, like...    Website: http://mattragland.com  Medium: https://medium.com/@mattragland/  Instagram http://instagram.com/bulletjournalguy  Twitter http://twitter.com/mattragland}
}

@video{BulletJournalBasicsb,
  title = {Bullet {{Journal Basics}} || {{The Weekly Preview}} \& {{Review}} || 4 {{Simple Questions}} for {{Staying Focused}}},
  url = {https://www.youtube.com/watch?v=N7sGquo8ejI},
  urldate = {2020-03-19},
  abstract = {The weekly preview and review is a foundational practice to the bullet journal basics method. By taking just 15-30 minutes each week and asking 4 simple questions, you can greatly increase your awareness and clarity for the week ahead.  People often overlook this practice in their bullet journal, but I believe that's a mistake. A consistent preview and review practice helps you see where you did well, what you struggled with, and how to improve in the week ahead.  This is the 4th video in my bullet journal basics series, watch the others below: Opening pages \&amp; index: https://youtu.be/eaef3raM5n8 Daily spread \&amp; rapid logging: https://youtu.be/x\_Xq4c9AdOk Monthly layout \&amp; minimalist trackers: https://youtu.be/pp\_yXeYeaHs My name is Matt Ragland and I make videos about using a minimalist bullet journal to focus on what matters most to you. I’ll show you how to use concepts like 10 Blocks, Time Tracking Grids, and Project Timelines to quickly see what needs to be done and when.     You can look for these videos every week, so please hit subscribe to stay in the loop for each new show!  ==================================================    Learn more about the 10 Blocks here: https://youtu.be/jckqcRTntVg  and Time Tracking here: https://youtu.be/kgzx047m-gY    Download all of my Bullet Journal productivity resources, including the 10 Block Method, Time Tracking Grids, and Monthly Plan at http://bulletjournalguy.com. You'll also be able to enter the 5 Day Time Track Challenge to see where your time is spent each day.     *Bullet Journal Supplies*   https://www.amazon.com/shop/mattragland    *Notebook from Baron Fig*   Get \$10 off your first Baron Fig order with my code: http://baronfig.refr.cc/mcragland    If you've ordered from Baron Fig before, please use my code to purchase additional products: https://www.baronfig.com/?ref=mattrag...    ==================================================  You can find me in other places too, like...    Website: http://mattragland.com  Medium: https://medium.com/@mattragland/  Instagram http://instagram.com/bulletjournalguy  Twitter http://twitter.com/mattragland Music by Lauren Duski: https://www.youtube.com/channel/UCtlI...}
}

@article{buolamwiniGenderShadesIntersectional,
  title = {Gender {{Shades}}: {{Intersectional Accuracy Disparities}} in {{Commercial Gender Classification}}},
  author = {Buolamwini, Joy and Gebru, Timnit},
  pages = {15},
  abstract = {Recent studies demonstrate that machine learning algorithms can discriminate based on classes like race and gender. In this work, we present an approach to evaluate bias present in automated facial analysis algorithms and datasets with respect to phenotypic subgroups. Using the dermatologist approved Fitzpatrick Skin Type classification system, we characterize the gender and skin type distribution of two facial analysis benchmarks, IJB-A and Adience. We find that these datasets are overwhelmingly composed of lighter-skinned subjects (79.6\% for IJB-A and 86.2\% for Adience) and introduce a new facial analysis dataset which is balanced by gender and skin type. We evaluate 3 commercial gender classification systems using our dataset and show that darker-skinned females are the most misclassified group (with error rates of up to 34.7\%). The maximum error rate for lighter-skinned males is 0.8\%. The substantial disparities in the accuracy of classifying darker females, lighter females, darker males, and lighter males in gender classification systems require urgent attention if commercial companies are to build genuinely fair, transparent and accountable facial analysis algorithms.},
  langid = {english},
  file = {/home/src/Offline/Papers/buolamwini_gebru_gender shades.pdf}
}

@article{burgessWhyNHSCovid192020,
  title = {Why the {{NHS Covid-19}} Contact Tracing App Failed},
  author = {Burgess, Matt},
  date = {2020-06-19},
  journaltitle = {Wired UK},
  issn = {1357-0978},
  url = {https://www.wired.co.uk/article/nhs-tracing-app-scrapped-apple-google-uk},
  urldate = {2020-11-09},
  abstract = {Test, track and trace – just not with the NHS app},
  entrysubtype = {magazine},
  langid = {british},
  keywords = {Security,Surveillance},
  file = {/home/cedarprince/Zotero/storage/MH8UQMI3/nhs-tracing-app-scrapped-apple-google-uk.html}
}

@incollection{burrellCoronaviruses2017,
  title = {Coronaviruses},
  booktitle = {Fenner and {{White}}'s {{Medical Virology}}},
  author = {Burrell, Christopher J. and Howard, Colin R. and Murphy, Frederick A.},
  date = {2017},
  pages = {437--446},
  publisher = {{Elsevier}},
  doi = {10.1016/B978-0-12-375156-0.00031-X},
  isbn = {978-0-12-375156-0},
  langid = {english},
  file = {/home/src/Offline/Papers/burrell et al_2017_coronaviruses.pdf}
}

@article{bush1945we,
  title = {As We May Think},
  author = {Bush, Vannevar and others},
  date = {1945},
  journaltitle = {Atl. Mon.},
  volume = {176},
  number = {1},
  pages = {101--108}
}

@article{butler2008feedback,
  title = {Feedback Enhances the Positive Effects and Reduces the Negative Effects of Multiple-Choice Testing},
  author = {Butler, Andrew C and Roediger, Henry L},
  date = {2008},
  journaltitle = {Mem. Cognit.},
  volume = {36},
  number = {3},
  pages = {604--616},
  publisher = {{Springer}}
}

@book{c.northcoteparkinsonParkinsonLawOther1957,
  title = {Parkinson’s {{Law}} and {{Other Studies}} in {{Administration}}},
  author = {{C. Northcote Parkinson}},
  date = {1957},
  publisher = {{The Riverside Press}},
  file = {/home/src/Offline/Papers/c. northcote parkinson_1957_parkinson’s law and other studies in administration.pdf}
}

@article{carlsonEightyearFollowupCommunitybased2000,
  title = {Eight-Year Follow-up of a Community-Based Large Group Behavioral Smoking Cessation Intervention},
  author = {Carlson, Linda E and Taenzer, Paul and Koopmans, Jan and Bultz, Barry D},
  date = {2000-09},
  journaltitle = {Addictive Behaviors},
  volume = {25},
  number = {5},
  pages = {725--741},
  issn = {03064603},
  doi = {10.1016/S0306-4603(00)00081-2},
  abstract = {Objective: To evaluate the effectiveness of a large group community-based behavioral smoking cessation intervention over an 8-year follow-up period and to determine precessation predictors of cessation at each follow-up time. Research Approach: Behavioral intervention followed by three longitudinal follow-up interviews. Setting: Regional Outpatient Cancer Centre. Study Participants: 971 participants in smoking cessation clinics held between 1986 and 1990. Intervention: Eight 90-minute sessions over 4 months utilizing education, self-monitoring, nicotine fading, a group quit date and behavioral modification techniques. Up to 110 smokers participated in each group program. Main Outcome Measures: Cessation rates at 3, 6, and 12 months postquit and at 8-year follow-up. Differences between successful and unsuccessful participants in precessation demographic, smoking history, and smoking behavior variables. Results: At 3 months postquit date, 39.3\% of the 971 participants reported that they were not smoking, decreasing to 32.1\% at 6 months and 26.0\% at 12 months. At the 8-year follow-up, 33.9\% of the original sample were contacted, and of those, 47.7\% reported that they were currently not smoking. There were nine predictors of cessation at the end of the program (3 months), which were similar to those previously reported in the literature. Similarly, at 6 and 12 months, six factors were associated with not smoking. At the 9-year follow-up the only variable predictive of continued abstinence was being female (p Ͻ .05). Conclusions: This program was successful in promoting smoking cessation and maintenance, even with its large-group format. Predictive factors were similar to those previously reported in the literature. © 2000 Elsevier Science Ltd.},
  langid = {english},
  file = {/home/src/Offline/Papers/carlson et al_2000_eight-year follow-up of a community-based large group behavioral smoking.pdf}
}

@incollection{carrinoFunctionalGesturesHumanEnvironment2013,
  title = {Functional {{Gestures}} for {{Human-Environment Interaction}}},
  booktitle = {Human-{{Computer Interaction}}. {{Interaction Modalities}} and {{Techniques}}},
  author = {Carrino, Stefano and Caon, Maurizio and Abou Khaled, Omar and Ingold, Rolf and Mugellini, Elena},
  editor = {Kurosu, Masaaki},
  date = {2013},
  series = {Lecture {{Notes}} in {{Computer Science}}},
  volume = {8007},
  pages = {167--176},
  publisher = {{Springer Berlin Heidelberg}},
  location = {{Berlin, Heidelberg}},
  doi = {10.1007/978-3-642-39330-3_18},
  abstract = {In this paper, we describe an opportunistic model for humanenvironment interaction. Such model is conceived to adapt the expressivity of a small lexicon of gestures through the use of generic functional gestures lowering the cognitive load on the user and reducing the system complexity. An interactive entity is modeled as a finite-state machine. A functional gesture is defined as the semantic meaning of an event that triggers a state transition and not as the movement to be performed. An interaction scenario has been designed in order to evaluate the features of the proposed model and to investigate how its application can enhance a post-WIMP human-environment interaction.},
  editorb = {Hutchison, David and Kanade, Takeo and Kittler, Josef and Kleinberg, Jon M. and Mattern, Friedemann and Mitchell, John C. and Naor, Moni and Nierstrasz, Oscar and Pandu Rangan, C. and Steffen, Bernhard and Sudan, Madhu and Terzopoulos, Demetri and Tygar, Doug and Vardi, Moshe Y. and Weikum, Gerhard},
  editorbtype = {redactor},
  isbn = {978-3-642-39329-7 978-3-642-39330-3},
  langid = {english},
  file = {/home/src/Papers/carrino et al_2013_functional gestures for human-environment interaction.pdf}
}

@book{carterHumanBrainBook2019,
  title = {The {{Human Brain Book}}},
  author = {Carter, Rita and Aldridge, Susan and Page, Martyn and Parker, Steve},
  date = {2019-01},
  publisher = {{DK Publishing}}
}

@book{caseDeathsDespairFuture2020,
  title = {Deaths of Despair and the Future of Capitalism},
  author = {Case, Anne and Deaton, Angus},
  date = {2020},
  publisher = {{Princeton University Press}},
  location = {{Princeton}},
  abstract = {"This book documents the decline of white-working class lives over the last half-century and examines the social and economic forces that have slowly made these lives more difficult. Case and Deaton argue that market and political power in the United States have moved away from labor towards capital-as unions have weakened and politics have become more favorable to business, corporations have become more powerful. Consolidation in some American industries, healthcare especially, has brought an increase in monopoly power in some product markets so that it is possible for firms to raise prices above what they would be in a freely competitive market. This, the authors argue, is a major cause of wage stagnation among working-class Americans and has played a substantial role in the increase in deaths of despair. Case and Deaton offer a way forward, including ideas that, even in our current political situation, may be feasible and improve lives"--},
  isbn = {978-0-691-19995-5},
  langid = {english},
  pagetotal = {1},
  keywords = {Capitalism,Drug Overdose,economics,Educational Status,Politics,Socioeconomic Factors,Suicide,United States},
  file = {/home/src/Papers/case_deaton_2020_deaths of despair and the future of capitalism.pdf}
}

@article{casey2011comprehensive,
  title = {Comprehensive Soldier Fitness: A Vision for Psychological Resilience in the {{US Army}}.},
  author = {Casey Jr, George W},
  date = {2011},
  journaltitle = {Am. Psychol.},
  volume = {66},
  number = {1},
  pages = {1},
  publisher = {{American Psychological Association}}
}

@online{cdcCommunitiesSchoolsWorkplaces2020,
  title = {Communities, {{Schools}}, {{Workplaces}}, \& {{Events}}},
  author = {CDC},
  date = {2020-04-30},
  url = {https://www.cdc.gov/coronavirus/2019-ncov/community/shared-congregate-house/guidance-shared-congregate-housing.html},
  urldate = {2020-07-15},
  abstract = {Cleaning and Disinfecting: Everyday steps, when someone is sick, and considerations for employers.},
  langid = {american},
  organization = {{Centers for Disease Control and Prevention}},
  file = {/home/cedarprince/Zotero/storage/4UIN6499/guidance-shared-congregate-housing.html}
}

@online{cdcCoronavirusDisease20192020,
  title = {Coronavirus {{Disease}} 2019 ({{COVID-19}}) – {{Prevention}} \& {{Treatment}}},
  author = {CDC and CDC},
  date = {2020-02-15},
  url = {https://www.cdc.gov/coronavirus/2019-ncov/about/prevention-treatment.html},
  urldate = {2020-03-10},
  abstract = {The best way to prevent COVID-19 infection is to avoid exposure to this virus and use healthy habits.},
  langid = {american},
  organization = {{Centers for Disease Control and Prevention}},
  file = {/home/cedarprince/Zotero/storage/FQRI6XXA/prevention-treatment.html}
}

@online{cdcCoronavirusDisease20192020a,
  title = {Coronavirus {{Disease}} 2019 ({{COVID-19}}) – {{Symptoms}}},
  author = {CDC and CDC},
  date = {2020-02-29},
  url = {https://www.cdc.gov/coronavirus/2019-ncov/about/symptoms.html},
  urldate = {2020-03-10},
  abstract = {Symptoms of COVID-19 include fever, cough, and shortness of breath. Call your doctor if you develop symptoms.},
  langid = {american},
  organization = {{Centers for Disease Control and Prevention}},
  file = {/home/cedarprince/Zotero/storage/E68S5J9R/symptoms.html}
}

@online{cdcCoronavirusDisease20192020b,
  title = {Coronavirus {{Disease}} 2019 ({{COVID-19}}) {{Situation Summary}}},
  author = {CDC and CDC},
  date = {2020-03-09},
  url = {https://www.cdc.gov/coronavirus/2019-ncov/summary.html},
  urldate = {2020-03-10},
  abstract = {CDC is responding to the novel (new) coronavirus (COVID-19) outbreak. See information on source, spread, risk assessment and the latest U.S. updates.},
  langid = {american},
  organization = {{Centers for Disease Control and Prevention}},
  file = {/home/cedarprince/Zotero/storage/CCKQQA6E/summary.html}
}

@online{cdcDevelopmentalDisabilitiesCDC2019,
  title = {Developmental {{Disabilities}} | {{CDC}}},
  author = {CDC},
  date = {2019-09-26},
  url = {https://www.cdc.gov/ncbddd/developmentaldisabilities/index.html},
  urldate = {2020-07-14},
  abstract = {Developmental disabilities are a group of conditions due to an impairment in physical, learning, language, or behavior areas. Learn more.},
  langid = {american},
  organization = {{Centers for Disease Control and Prevention}},
  file = {/home/cedarprince/Zotero/storage/WXDGIDBC/index.html}
}

@online{cdcPeopleWhoAre2020,
  title = {People {{Who Are}} at {{Higher Risk}} for {{Severe Illness}}},
  author = {{CDC}},
  date = {2020-02-11},
  url = {https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-at-higher-risk.html},
  urldate = {2020-04-28},
  abstract = {Coronavirus disease 2019 (COVID-19) is a virus (more specifically, a coronavirus) identified as the cause of an outbreak of respiratory illness first detected in Wuhan, China.},
  langid = {american},
  organization = {{Centers for Disease Control and Prevention}},
  file = {/home/cedarprince/Zotero/storage/TFDTYLXF/people-at-higher-risk.html}
}

@online{centersfordiseasecontrolandpreventionBehavioralRiskFactor,
  title = {Behavioral {{Risk Factor Surveillance System}}},
  author = {{Centers for Disease Control and Prevention}},
  url = {http://www.cdc.gov/brfss}
}

@dataset{centersfordiseasecontrolBehavioralRiskFactor2020,
  title = {Behavioral {{Risk Factor Surveillance System}} ({{BRFSS}}) {{Prevalence Data}} (2011 to Present)},
  author = {{Centers for Disease Control}},
  date = {2020-09-17},
  publisher = {{Centers for disease control and prevention}},
  url = {https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-P/dttw-5yxu},
  urldate = {2021-02-17}
}

@misc{centersfordiseasecontrolContactTracingCDC2020,
  title = {Contact {{Tracing}} - {{CDC}}'s {{Role}} and {{Approach}}.},
  author = {{Centers for Disease Control}},
  date = {2020-08-10},
  langid = {english},
  file = {/home/src/Papers/centers for disease control_contact tracing-cdc's role and approach.pdf}
}

@online{centersfordiseasecontrolCOVID19GuidanceShared2020,
  title = {{{COVID-19 Guidance}} for {{Shared}} or {{Congregate Housing}} | {{CDC}}},
  author = {{Centers for Disease Control}},
  date = {2020-04-25},
  url = {https://www.cdc.gov/coronavirus/2019-ncov/community/shared-congregate-house/guidance-shared-congregate-housing.html},
  urldate = {2020-07-22}
}

@online{centersfordiseasecontrolHealthEquity2020,
  title = {Health {{Equity}}},
  author = {{Centers for Disease Control}},
  date = {2020-03-11},
  url = {https://www.cdc.gov/chronicdisease/healthequity/index.htm},
  urldate = {2021-05-20}
}

@article{centersfordiseasecontrolPreliminaryEstimatesPrevalence2020,
  title = {Preliminary {{Estimates}} of the {{Prevalence}} of {{Selected Underlying Health Conditions Among Patients}} with {{Coronavirus Disease}} 2019 — {{United States}}, {{February}} 12–{{March}} 28, 2020.},
  author = {{Centers for Disease Control}},
  date = {2020},
  journaltitle = {MMWR Morb Mortal Wkly Rep}
}

@online{centersformedicareandmedicaidMedicareClaimsSynthetic2020,
  title = {Medicare {{Claims Synthetic Public Use Files}} ({{SynPUFs}})},
  author = {{Centers for Medicare and Medicaid}},
  date = {2020-02-11},
  url = {https://www.cms.gov/research-statistics-data-and-systems/downloadable-public-use-files/synpufs},
  urldate = {2021-05-20}
}

@article{cepeda2006distributed,
  title = {Distributed Practice in Verbal Recall Tasks: {{A}} Review and Quantitative Synthesis.},
  author = {Cepeda, Nicholas J and Pashler, Harold and Vul, Edward and Wixted, John T and Rohrer, Doug},
  date = {2006},
  journaltitle = {Psychol. Bull.},
  volume = {132},
  number = {3},
  pages = {354},
  publisher = {{American Psychological Association}}
}

@article{cereda2020early,
  title = {The Early Phase of the {{COVID-19}} Outbreak in {{Lombardy}}, {{Italy}}},
  author = {Cereda, Diletta and Tirani, Marcello and Rovida, Francesca and Demicheli, Vittorio and Ajelli, Marco and Poletti, Piero and Trentini, Frédéric and Guzzetta, Giorgio and Marziano, Valentina and Barone, Angelica and others},
  date = {2020},
  publisher = {{Arxiv}}
}

@incollection{cevoliniNiklasLuhmannCard2016,
  title = {Niklas {{Luhmann}}’s {{Card Index}}: {{Thinking Tool}}, {{Communication Partner}}, {{Publication Machine}}},
  booktitle = {Forgetting {{Machines}}: {{Knowledge Management Evolution}} in {{Early Modern Europe}}},
  author = {Cevolini, Alberto and Schmidt, Johannes},
  date = {2016-10-11},
  publisher = {{BRILL}},
  doi = {10.1163/9789004325258},
  isbn = {978-90-04-32525-8},
  langid = {english},
  file = {/home/src/Offline/Papers/cevolini_schmidt_2016_niklas luhmann’s card index.pdf}
}

@article{chakrabortySocialInequitiesDistribution2020,
  title = {Social Inequities in the Distribution of {{COVID-19}}: {{An}} Intra-Categorical Analysis of People with Disabilities in the {{U}}.{{S}}.},
  shorttitle = {Social Inequities in the Distribution of {{COVID-19}}},
  author = {Chakraborty, Jayajit},
  date = {2020-09},
  journaltitle = {Disability and Health Journal},
  pages = {101007},
  issn = {19366574},
  doi = {10.1016/j.dhjo.2020.101007},
  abstract = {Background: While recent reports suggest that people with disabilities (PwDs) are likely to be adversely impacted by COVID-19 and face multiple challenges, previous research has not examined if COVID-19 burdens are unequally distributed with respect to the disability characteristics of the U.S. population. Objective: This article presents the first national scale study of the relationship between COVID-19 incidence and disability characteristics in the U.S. The objective is to determine whether COVID-19 incidence is significantly greater in counties containing higher percentages of socio-demographically disadvantaged PwDs, based on race, ethnicity, poverty status, age, and biological sex. Methods: This study integrates county-level data on confirmed COVID-19 cases from the Johns Hopkins Center for Systems Science and Engineering database with multiple disability variables from the 2018 American Community Survey. Statistical analyses are based on bivariate correlations and multivariate generalized estimating equations that consider spatial clustering in the data. Results: Greater COVID-19 incidence rate is significantly associated with: (1) higher percentages of PwDs who are Black, Asian, Hispanic, Native American, below poverty, under 18 years of age, and female; and (2) lower percentages of PwDs who are non-Hispanic White, above poverty, aged 65 or more years, and male, after controlling for spatial clustering. Conclusions: Socio-demographically disadvantaged PwDs are significantly overrepresented in counties with higher COVID-19 incidence compared to other PwDs. These findings represent an important starting point for more detailed investigation of the disproportionate impacts of COVID-19 on PwDs and highlight the urgent need for COVID-19 data collection systems to incorporate disability information.},
  langid = {english},
  file = {/home/src/Papers/chakraborty_2020_social inequities in the distribution of covid-19.pdf}
}

@article{champion2002trauma,
  title = {Trauma Scoring},
  author = {Champion, HR},
  date = {2002},
  journaltitle = {Scand. J. Surg.},
  volume = {91},
  number = {1},
  pages = {12--22},
  publisher = {{SAGE Publications Sage UK: London, England}}
}

@online{chan2020pact,
  title = {Pact: {{Privacy}} Sensitive Protocols and Mechanisms for Mobile Contact Tracing},
  author = {Chan, Justin and Gollakota, Shyam and Horvitz, Eric and Jaeger, Joseph and Kakade, Sham and Kohno, Tadayoshi and Langford, John and Larson, Jonathan and Singanamalla, Sudheesh and Sunshine, Jacob and others},
  date = {2020},
  shortjournal = {ArXiv Prepr. ArXiv200403544},
  eprint = {2004.03544},
  eprinttype = {arxiv},
  archiveprefix = {arXiv}
}

@article{changMobilityNetworkModels2021,
  title = {Mobility Network Models of {{COVID-19}} Explain Inequities and Inform Reopening},
  author = {Chang, Serina and Pierson, Emma and Koh, Pang Wei and Gerardin, Jaline and Redbird, Beth and Grusky, David and Leskovec, Jure},
  date = {2021-01-07},
  journaltitle = {Nature},
  volume = {589},
  number = {7840},
  pages = {82--87},
  issn = {0028-0836, 1476-4687},
  doi = {10.1038/s41586-020-2923-3},
  langid = {english},
  file = {/home/src/Papers/chang et al_2021_mobility network models of covid-19 explain inequities and inform reopening.pdf}
}

@article{chanMakingFairChoices2016,
  title = {Making {{Fair Choices}} on the {{Path}} to {{Universal Health Coverage}}},
  author = {Chan, Margaret},
  date = {2016-01-02},
  journaltitle = {Health Systems \& Reform},
  volume = {2},
  number = {1},
  pages = {5--7},
  issn = {2328-8604, 2328-8620},
  doi = {10.1080/23288604.2015.1111288},
  langid = {english},
  file = {/home/src/Papers/chan_2016_making fair choices on the path to universal health coverage.pdf}
}

@article{charles2003skin,
  title = {Skin Bleaching, Self-Hate, and Black Identity in {{Jamaica}}},
  author = {Charles, Christopher AD},
  date = {2003},
  journaltitle = {J. Black Stud.},
  volume = {33},
  number = {6},
  pages = {711--728},
  publisher = {{Sage Publications}}
}

@online{chaykaLibraryLastResort,
  title = {The {{Library}} of {{Last Resort}}},
  author = {Chayka, Kyle},
  url = {https://nplusonemag.com/online-only/online-only/the-library-of-last-resort/},
  urldate = {2021-06-18}
}

@video{chenJuliaCon2017Taking,
  title = {{{JuliaCon}} 2017 | {{Taking Vector Transposes Seriously}} | {{Jiahao Chen}}},
  editor = {Chen, Jiahao},
  url = {https://www.youtube.com/watch?v=C2RO34b_oPM},
  urldate = {2020-06-03},
  abstract = {Visit http://julialang.org/ to download Julia.},
  editortype = {director}
}

@report{chenNursingHomeStaff2020,
  title = {Nursing {{Home Staff Networks}} and {{COVID-19}}},
  author = {Chen, M. Keith and Chevalier, Judith and Long, Elisa},
  date = {2020-07},
  number = {w27608},
  pages = {w27608},
  institution = {{National Bureau of Economic Research}},
  location = {{Cambridge, MA}},
  doi = {10.3386/w27608},
  abstract = {Nursing homes and other long-term care facilities account for a disproportionate share of COVID-19 cases and fatalities worldwide. Outbreaks in U.S. nursing homes have persisted despite nationwide visitor restrictions beginning in mid-March. An early report issued by the Centers for Disease Control and Prevention identified staff members working in multiple nursing homes as a likely source of spread from the Life Care Center in Kirkland, Washington to other skilled nursing facilities. The full extent of staff connections between nursing homes—and the role these connections serve in spreading a highly contagious respiratory infection—is currently unknown given the lack of centralized data on cross-facility employment. We perform the first large-scale analysis of nursing home connections via shared staff and contractors using devicelevel geolocation data from 50 million smartphones, and find that 5.1 percent of smartphone users who visit a nursing home for at least one hour also visit another facility during our 11-week study period—even after visitor restrictions were imposed. We construct network measures of connectedness and estimate that nursing homes, on average, share connections with 7 other facilities. Controlling for demographic and other factors, a home’s staff-network connections and its centrality within the greater network strongly predict COVID-19 cases. Traditional federal regulatory metrics of nursing home quality are unimportant in predicting outbreaks, consistent with recent research. Multivariate regressions comparing demographically and geographically similar nursing homes suggest that 49 percent of COVID cases among nursing home residents are attributable to staff movement between facilities.},
  langid = {english},
  file = {/home/src/Papers/chen et al_2020_nursing home staff networks and covid-19.pdf}
}

@article{chenPedagogicalApproachCreate,
  title = {A {{Pedagogical Approach}} to {{Create}} and {{Assess Domain-Specific Data Science Learning Materials}} in the {{Biomedical Sciences}}},
  author = {Chen, Daniel Y},
  pages = {200},
  langid = {english},
  file = {/Users/jzelko3/Knowledgebase/Papers/Chen_A Pedagogical Approach to Create and Assess Domain-Specific Data Science.pdf}
}

@article{chidambaram2020state,
  title = {State Reporting of Cases and Deaths Due to {{COVID-19}} in Long-Term Care Facilities},
  author = {Chidambaram, P},
  date = {2020},
  journaltitle = {San Franc. Kais. Fam. Found.}
}

@online{cho2020contact,
  title = {Contact Tracing Mobile Apps for {{COVID-19}}: {{Privacy}} Considerations and Related Trade-Offs},
  author = {Cho, Hyunghoon and Ippolito, Daphne and Yu, Yun William},
  date = {2020},
  shortjournal = {ArXiv Prepr. ArXiv200311511},
  eprint = {2003.11511},
  eprinttype = {arxiv},
  archiveprefix = {arXiv}
}

@article{chowkwanyun2020racial,
  title = {Racial Health Disparities and {{Covid-19}}—Caution and Context},
  author = {Chowkwanyun, Merlin and Reed Jr, Adolph L},
  date = {2020},
  journaltitle = {N. Engl. J. Med.},
  publisher = {{Mass Medical Soc}}
}

@online{clearZettelkastenHowOne2020,
  title = {Zettelkasten — {{How One German Scholar Was So Freakishly Productive}}},
  author = {Clear, David B.},
  date = {2020-01-06T19:34:37},
  url = {https://writingcooperative.com/zettelkasten-how-one-german-scholar-was-so-freakishly-productive-997e4e0ca125},
  urldate = {2020-03-08},
  abstract = {Luhmann wrote over 70 books and more than 400 scholarly articles using the Zettelkasten notetaking method.},
  langid = {english},
  organization = {{Medium}},
  file = {/home/cedarprince/Zotero/storage/35M92CSF/zettelkasten-how-one-german-scholar-was-so-freakishly-productive-997e4e0ca125.html}
}

@report{colemanIncreasedRiskPsychiatric2021,
  type = {preprint},
  title = {Increased Risk of Psychiatric Sequelae of {{COVID-19}} Is Highest Early in the Clinical Course},
  author = {Coleman, Ben and Casiraghi, Elena and Blau, Hannah and Chan, Lauren and Haendel, Melissa and Laraway, Bryan and Callahan, Tiffany J and Deer, Rachel R and Wilkins, Ken and Reese, Justin and Robinson, Peter N},
  date = {2021-12-02},
  institution = {{Epidemiology}},
  doi = {10.1101/2021.11.30.21267071},
  abstract = {Background: COVID-19 has been shown to increase the risk of adverse mental health consequences. A recent electronic health record (EHR)-based observational study showed an almost two-fold increased risk of new-onset mental illness in the first 90 days following a diagnosis of acute COVID-19.},
  langid = {english},
  file = {/Users/jzelko3/Knowledgebase/Papers/Coleman et al_2021_Increased risk of psychiatric sequelae of COVID-19 is highest early in the.pdf}
}

@article{conde2020neurotropism,
  title = {Neurotropism of {{SARS-CoV}} 2: {{Mechanisms}} and Manifestations},
  author = {Conde, Giancarlos and Pájaro, Loraine D Quintana and Marzola, Iván D Quintero and Villegas, Yancarlos Ramos and Salazar, Luis R Moscote},
  date = {2020},
  journaltitle = {J. Neurol. Sci.},
  publisher = {{Elsevier}}
}

@incollection{conroy2016current,
  title = {Current and Emerging Trends for Residential Supports for Persons with Intellectual and Developmental Disabilities and the Impact of Managed Care Initiatives},
  booktitle = {Health Care for People with Intellectual and Developmental Disabilities across the Lifespan},
  author = {Conroy, James W and Dale, Steven J and McCaffrey, Robert P},
  date = {2016},
  pages = {255--263},
  publisher = {{Springer}}
}

@book{cormenIntroductionAlgorithms2009,
  title = {Introduction to Algorithms},
  editor = {Cormen, Thomas H.},
  date = {2009},
  edition = {3rd ed},
  publisher = {{MIT Press}},
  location = {{Cambridge, Mass}},
  isbn = {978-0-262-03384-8 978-0-262-53305-8},
  langid = {english},
  pagetotal = {1292},
  keywords = {Computer algorithms,Computer programming},
  annotation = {OCLC: ocn311310321},
  file = {/home/src/Papers/cormen_2009_introduction to algorithms.pdf}
}

@book{cormier2014basic,
  title = {Basic Processes of Learning, Cognition, and Motivation},
  author = {Cormier, Stephen M},
  date = {2014},
  publisher = {{Psychology Press}}
}

@online{CoronavirusDisease2019,
  title = {Coronavirus {{Disease}} 2019 ({{COVID-19}})-{{Associated Hospitalization Surveillance Network}} ({{COVID-NET}}) | {{CDC}}},
  url = {https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covid-net/purpose-methods.html},
  urldate = {2021-06-08}
}

@article{covid2020severe,
  title = {Severe Outcomes among Patients with Coronavirus Disease 2019 ({{COVID-19}})—{{United States}}, {{February}} 12–{{March}} 16, 2020},
  author = {{CDC}},
  date = {2020},
  journaltitle = {MMWR Morb Mortal Wkly Rep},
  volume = {69},
  number = {12},
  pages = {343--346}
}

@article{cronbach1955construct,
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  journaltitle = {Psychol. Bull.},
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  number = {4},
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@online{cuebiqMobilityInsightsCuebiq2021,
  title = {Mobility {{Insights}} - {{Cuebiq}}},
  author = {{Cuebiq}},
  date = {2021-06-08},
  url = {https://www.cuebiq.com/visitation-insights-covid19/?utm_source=nyt&utm_medium=article&utm_campaign=organic},
  urldate = {2021-06-08}
}

@article{currie2009social,
  title = {Social Determinants of Health and Well-Being among Young People},
  author = {Currie, Candace and Zanotti, Cara and Morgan, Antony and Currie, Dorothy and De Looze, Margaretha and Roberts, Chris and Samdal, Oddrun and Smith, Otto RF and Barnekow, Vivian},
  date = {2009},
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@online{dagostinoArchitectModernAlgorithms,
  title = {The {{Architect}} of {{Modern Algorithms}}},
  author = {D'Agostino, Susan},
  url = {https://www.quantamagazine.org/barbara-liskov-is-the-architect-of-modern-algorithms-20191120/},
  urldate = {2020-04-18},
  abstract = {Barbara Liskov pioneered the modern approach to writing code. She warns that the challenges facing computer science today can’t be overcome with good design},
  langid = {english},
  organization = {{Quanta Magazine}},
  file = {/home/cedarprince/Zotero/storage/7M7DQV2W/barbara-liskov-is-the-architect-of-modern-algorithms-20191120.html}
}

@book{dalrympleLifeBottomWorldview2006,
  title = {Life at the Bottom: The Worldview That Makes the Underclass},
  shorttitle = {Life at the Bottom},
  author = {Dalrymple, Theodore},
  date = {2006},
  publisher = {{Ivan R. Dee}},
  location = {{Chicago}},
  isbn = {978-1-56663-505-9},
  langid = {english},
  annotation = {OCLC: 751025017},
  file = {/home/src/Papers/dalrymple_2006_life at the bottom.pdf}
}

@book{daniels2007just,
  title = {Just Health: Meeting Health Needs Fairly},
  author = {Daniels, Norman},
  date = {2007},
  publisher = {{Cambridge University Press}}
}

@book{daniels2008setting,
  title = {Setting Limits Fairly: Learning to Share Resources for Health},
  author = {Daniels, Norman and Sabin, James E},
  date = {2008},
  publisher = {{Oxford University Press}}
}

@article{danquah2019use,
  title = {Use of a Mobile Application for {{Ebola}} Contact Tracing and Monitoring in Northern {{Sierra Leone}}: A Proof-of-Concept Study},
  author = {Danquah, Lisa O and Hasham, Nadia and MacFarlane, Matthew and Conteh, Fatu E and Momoh, Fatoma and Tedesco, Andrew A and Jambai, Amara and Ross, David A and Weiss, Helen A},
  date = {2019},
  journaltitle = {BMC Infect. Dis.},
  volume = {19},
  number = {1},
  pages = {810},
  publisher = {{Springer}}
}

@inreference{DatabaseSchema2021,
  title = {Database Schema},
  booktitle = {Wikipedia},
  date = {2021-12-19T20:14:09Z},
  url = {https://en.wikipedia.org/w/index.php?title=Database_schema&oldid=1061124043},
  urldate = {2022-02-19},
  abstract = {The database schema is its structure described in a formal language supported by the database management system (DBMS). The term "schema" refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases). The formal definition of a database schema is a set of formulas (sentences) called integrity constraints imposed on a database. These integrity constraints ensure compatibility between parts of the schema. All constraints are expressible in the same language. A database can be considered a structure in realization of the database language. The states of a created conceptual schema are transformed into an explicit mapping, the database schema. This describes how real-world entities are modeled in the database. "A database schema specifies, based on the database administrator's knowledge of possible applications, the facts that can enter the database, or those of interest to the possible end-users." The notion of a database schema plays the same role as the notion of theory in predicate calculus. A model of this "theory" closely corresponds to a database, which can be seen at any instant of time as a mathematical object. Thus a schema can contain formulas representing integrity constraints specifically for an application and the constraints specifically for a type of database, all expressed in the same database language. In a relational database, the schema defines the tables, fields, relationships, views, indexes, packages, procedures, functions, queues, triggers, types, sequences, materialized views, synonyms, database links, directories, XML schemas, and other elements. A database generally stores its schema in a data dictionary. Although a schema is defined in text database language, the term is often used to refer to a graphical depiction of the database structure. In other words, schema is the structure of the database that defines the objects in the database. In an Oracle Database system, the term "schema" has a slightly different connotation.},
  langid = {english},
  annotation = {Page Version ID: 1061124043},
  file = {/home/cedarprince/Zotero/storage/PR7IRAX3/Database_schema.html}
}

@book{davidspivakCategoryTheoryScientists2013,
  title = {Category {{Theory}} for {{Scientists}}},
  author = {{David Spivak}},
  date = {2013-09-19},
  edition = {Old Version},
  file = {/Users/jzelko3/Knowledgebase/Papers/David Spivak_2013_Category Theory for Scientists.pdf}
}

@book{davies1982psychology,
  title = {The Psychology of Vigilance},
  author = {Davies, David Roy and Parasuraman, Raja},
  date = {1982},
  publisher = {{Academic Pr}}
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@article{dawson2017electrodermal,
  title = {The Electrodermal System.},
  author = {Dawson, Michael E and Schell, Anne M and Filion, Diane L},
  date = {2017},
  publisher = {{Cambridge University Press}}
}

@inproceedings{de2014seeking,
  title = {Seeking and Sharing Health Information Online: Comparing Search Engines and Social Media},
  booktitle = {Proceedings of the {{SIGCHI}} Conference on Human Factors in Computing Systems},
  author = {De Choudhury, Munmun and Morris, Meredith Ringel and White, Ryen W},
  date = {2014},
  pages = {1365--1376}
}

@article{delorme2004eeglab,
  title = {{{EEGLAB}}: An Open Source Toolbox for Analysis of Single-Trial {{EEG}} Dynamics Including Independent Component Analysis},
  author = {Delorme, Arnaud and Makeig, Scott},
  date = {2004},
  journaltitle = {J. Neurosci. Methods},
  volume = {134},
  number = {1},
  pages = {9--21},
  publisher = {{Elsevier}}
}

@software{delormeGonogoCategorizationDetection2020,
  title = {Go-Nogo Categorization and Detection Task},
  author = {Delorme, Arnaud and Fabre-Thorpe, Michele},
  date = {2020-04-02},
  url = {10.18112/openneuro.ds002680.v1.0.0},
  version = {1.0.0}
}

@article{delormeSingletrialEEGBrain2002,
  title = {From Single-Trial {{EEG}} to Brain Area Dynamics},
  author = {Delorme, A and Makeig, S and Fabre-Thorpe, M and Sejnowski, T},
  date = {2002-06},
  journaltitle = {Neurocomputing},
  volume = {44--46},
  pages = {1057--1064},
  issn = {09252312},
  doi = {10.1016/S0925-2312(02)00415-0},
  abstract = {We here present a new technique for visualizing the temporal dynamics of brain area activation and interaction at high-temporal resolution. We ÿrst applied independent component analysis to concatenated single-trial EEG data from a fast go–nogo categorization task of natural images and showed that individual independent components might index neural synchrony within and between intracranial brain sources. We used time-frequency decomposition to model their dynamic interactions. In particular, following stimulus presentations, we showed that several independent components were activated and synchronized in the theta frequency range (near 4 Hz). c 2002 Elsevier Science B.V. All rights reserved.},
  langid = {english},
  file = {/home/src/Papers/delorme et al_2002_from single-trial eeg to brain area dynamics.pdf}
}

@article{deming1940least,
  title = {On a Least Squares Adjustment of a Sampled Frequency Table When the Expected Marginal Totals Are Known},
  author = {Deming, W Edwards and Stephan, Frederick F},
  date = {1940},
  journaltitle = {Ann. Math. Stat.},
  volume = {11},
  number = {4},
  pages = {427--444},
  publisher = {{JSTOR}}
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@article{dempsterCaseStudyFailure1988,
  title = {A {{Case Study}} in the {{Failure}} to {{Apply}} the {{Results}} of {{Psychological Research}}},
  author = {Dempster, Frank N},
  date = {1988},
  journaltitle = {Am. Psychol.},
  pages = {8},
  abstract = {The spacing effect would appear to have considerable potential for improving classroom learning, yet there is no evidence of its widespread application. I consider nine possible impediments to the implementation of research findings in the classroom in an effort to determine which, if any, apply to the spacing effect. I conclude that the apparent absence o f systematic application may be due, in part, to the ahistorical character of research on the spacing effect and certain gaps in our understanding of both the spacing effect and classroom practice. However, because none of these concerns seems especially discouraging, and in view of what we do know about the spacing effect, classroom application is recommended.},
  langid = {english},
  file = {/home/src/Offline/Papers/dempster_1988_a case study in the failure to apply the results of psychological research.pdf}
}

@report{departmentofdefenseofficeofinspectorgeneralEvaluationAccessMental2020,
  title = {Evaluation of {{Access}} to {{Mental Health Care}} in the {{Department}} of {{Defense}} ({{DODIG-2020-112}})},
  author = {{Department of Defense Office of Inspector General}},
  date = {2020-08-10},
  url = {https://www.dodig.mil/reports.html/Article/2309785/evaluation-of-access-to-mental-health-care-in-the-department-of-defense-dodig-2/},
  urldate = {2021-05-20}
}

@article{depino2013peripheral,
  title = {Peripheral and Central Inflammation in Autism Spectrum Disorders},
  author = {Depino, Amaicha Mara},
  date = {2013},
  journaltitle = {Mol. Cell. Neurosci.},
  volume = {53},
  pages = {69--76},
  publisher = {{Elsevier}}
}

@article{depino2013peripheral,
  title = {Peripheral and Central Inflammation in Autism Spectrum Disorders},
  author = {Depino, Amaicha Mara},
  date = {2013},
  journaltitle = {Mol. Cell. Neurosci.},
  volume = {53},
  pages = {69--76},
  publisher = {{Elsevier}}
}

@article{desai2004tomayto,
  title = {Tomayto Tomahto: The Research Supply Chain and the Ethics of Knowledge Production},
  author = {Desai, Deval and Tapscott, Rebecca},
  date = {2004},
  journaltitle = {Humanity J. Online}
}

@article{desousalimaCouldAutismSpectrum2020,
  title = {Could {{Autism Spectrum Disorders}} Be a {{Risk Factor}} for {{COVID-19}}?},
  author = {de Sousa Lima, Matheus Eugênio and Barros, Levi Coelho Maia and Aragão, Gislei Frota},
  options = {useprefix=true},
  date = {2020-05-30},
  journaltitle = {Med Hypotheses},
  eprint = {32505067},
  eprinttype = {pmid},
  issn = {0306-9877},
  doi = {10.1016/j.mehy.2020.109899},
  abstract = {The coronavirus SARS-CoV-2 pandemia is infecting millions of people and some studies relate conditions that might increase the risk of developing a fatal course for the disease, such as diabetes, cardiovascular diseases and obesity. In COVID-19 physiopathology, one of the main inflammation mechanisms is the “cytokine storm”, causing a pro-inflammatory state, related to cardiac and pulmonary damage. There is also a less effective role of lymphocyte B and T in the humoral immunity due to the reduction of their proliferative response. The physiopathology of ASD (Autism Spectrum Disorder) involves several modifications at the genetic and at the immune level, such as the increase of inflammatory cytokines and abnormal immune response in several levels. We hypothesize that ASD could be a risk-factor as the other conditions are.},
  pmcid = {PMC7261065},
  file = {/home/src/Papers/de sousa lima et al_2020_could autism spectrum disorders be a risk factor for covid-19.pdf}
}

@article{dhabharHassleDayMay2009,
  title = {A Hassle a Day May Keep the Pathogens Away: {{The}} Fight-or-Flight Stress Response and the Augmentation of Immune Function},
  shorttitle = {A Hassle a Day May Keep the Pathogens Away},
  author = {Dhabhar, F. S.},
  date = {2009-09-01},
  journaltitle = {Integrative and Comparative Biology},
  volume = {49},
  number = {3},
  pages = {215--236},
  issn = {1540-7063, 1557-7023},
  doi = {10.1093/icb/icp045},
  langid = {english},
  file = {/home/src/Offline/Papers/dhabhar_2009_a hassle a day may keep the pathogens away.pdf}
}

@article{dongInteractiveWebbasedDashboard2020,
  title = {An Interactive Web-Based Dashboard to Track {{COVID-19}} in Real Time},
  author = {Dong, Ensheng and Du, Hongru and Gardner, Lauren},
  date = {2020-02-19},
  journaltitle = {The Lancet Infectious Diseases},
  volume = {0},
  number = {0},
  eprint = {32087114},
  eprinttype = {pmid},
  publisher = {{Elsevier}},
  issn = {1473-3099, 1474-4457},
  doi = {10.1016/S1473-3099(20)30120-1},
  abstract = {In December, 2019, a local outbreak of pneumonia of initially unknown cause was detected in Wuhan (Hubei, China), and was quickly determined to be caused by a novel coronavirus,1 namely severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The outbreak has since spread to every province of mainland China as well as 27 other countries and regions, with more than 70\hphantom{,}000 confirmed cases as of Feb 17, 2020.2 In response to this ongoing public health emergency, we developed an online interactive dashboard, hosted by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University, Baltimore, MD, USA, to visualise and track reported cases of coronavirus disease 2019 (COVID-19) in real time.},
  langid = {english},
  file = {/home/src/Offline/Papers/dong et al_2020_an interactive web-based dashboard to track covid-19 in real time.pdf;/home/cedarprince/Zotero/storage/JGMJYCSR/fulltext.html}
}

@article{ebbinghaus1885ueber,
  title = {Ueber Das Gedächtnis},
  author = {Ebbinghaus, Herm},
  date = {1885}
}

@online{editorsOpenWearablesInitiative,
  title = {The {{Open Wearables Initiative Soliciting Algorithms}} and {{Datasets}}},
  author = {Editors, Applied Clinical Trials},
  url = {http://www.appliedclinicaltrialsonline.com/open-wearables-initiative-soliciting-algorithms-and-datasets-0},
  urldate = {2020-03-10},
  langid = {english},
  file = {/home/cedarprince/Zotero/storage/CCMINIZ4/open-wearables-initiative-soliciting-algorithms-and-datasets-0.html}
}

@article{endo2020estimating,
  title = {Estimating the Overdispersion in {{COVID-19}} Transmission Using Outbreak Sizes Outside {{China}}},
  author = {Endo, Akira and Abbott, Sam and Kucharski, Adam J and Funk, Sebastian and others},
  date = {2020},
  journaltitle = {Wellcome Open Res.},
  volume = {5},
  number = {67},
  pages = {67},
  publisher = {{F1000 Research Limited}}
}

@article{endo2020estimating,
  title = {Estimating the Overdispersion in {{COVID-19}} Transmission Using Outbreak Sizes Outside {{China}}},
  author = {Endo, Akira and Abbott, Sam and Kucharski, Adam J and Funk, Sebastian and others},
  date = {2020},
  journaltitle = {Wellcome Open Res.},
  volume = {5},
  number = {67},
  pages = {67},
  publisher = {{F1000 Research Limited}}
}

@book{epstein1985current,
  title = {Current Perspectives in Dysphasia},
  author = {Epstein, Ruth and Newman, Stanton P},
  date = {1985},
  publisher = {{Churchill Livingstone}}
}

@software{Eunomia2021,
  title = {Eunomia},
  date = {2021-04-17T22:07:52Z},
  origdate = {2019-02-06T10:46:22Z},
  url = {https://github.com/OHDSI/Eunomia},
  urldate = {2021-08-13},
  abstract = {A standard CDM dataset for testing and demonstration purposes.},
  organization = {{Observational Health Data Sciences and Informatics}},
  keywords = {hades}
}

@online{EvaluationAccessMental,
  title = {Evaluation of {{Access}} to {{Mental Health Care}} in the {{Department}} of {{Defense}} ({{DODIG-2020-112}}) {$>$} {{Department}} of {{Defense Office}} of {{Inspector General}} {$>$} {{DoD OIG Reports}}},
  url = {https://www.dodig.mil/reports.html/Article/2309785/evaluation-of-access-to-mental-health-care-in-the-department-of-defense-dodig-2/},
  urldate = {2021-05-16},
  file = {/home/cedarprince/Zotero/storage/CTZAMY2S/evaluation-of-access-to-mental-health-care-in-the-department-of-defense-dodig-2.html}
}

@article{fabre2001limit,
  title = {A Limit to the Speed of Processing in Ultra-Rapid Visual Categorization of Novel Natural Scenes},
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@online{fastTaleComplexityStructural2018,
  title = {A {{Tale}} of {{Complexity}} – {{Structural Layers}} in {{Note Taking}}},
  author = {Fast, Sascha},
  date = {2018-03-27},
  url = {https://www.zettelkasten.de/posts/three-layers-structure-zettelkasten/},
  urldate = {2020-07-05},
  abstract = {A Zettelkasten is a personal tool for thinking and writing that creates an interconnected web of thought. Its emphasis is on connection and not mere collection of ideas.},
  langid = {english},
  organization = {{Zettelkasten Method}},
  file = {/home/cedarprince/Zotero/storage/JE48PU3J/three-layers-structure-zettelkasten.html}
}

@inproceedings{fathimaLowcostPerinatalMonitoring2014,
  title = {A Low-Cost Perinatal Monitoring System for Use in Rural {{Guatemala}}},
  booktitle = {Appropriate {{Healthcare Technologies}} for {{Low Resource Settings}} ({{AHT}} 2014)},
  author = {Fathima, S. and Rohloff, P. and King, N.E. and Hall-Clifford, R. and Stroux, L. and Clifford, G.D.},
  date = {2014},
  pages = {17--17},
  publisher = {{Institution of Engineering and Technology}},
  location = {{London, UK}},
  doi = {10.1049/cp.2014.0777},
  abstract = {While advances in medical care have reduced mortality rates across the globe, perinatal mortality has decreased at a slower pace. This is particularly true of low- and middle-income countries, which contribute by far the largest proportion of perinatal deaths annually. Key reasons for this include lack of systematic screening, lack of early health advice-seeking and robust referral. To address these issues we are developing a scalable mHealth referral system embedded into an existing network of practising traditional birth attendants. Two off-theshelf sensors are bundled into the intervention, a 1D Doppler foetal heart monitor (cost \$35) and a pulse oximeter, to address key clinical perinatal complications: the detection of foetal distress and intrauterine growth restriction by automatic algorithmic analysis of the Doppler ultrasound signal. The devices directly interface with the smartphone for data transfer and to enable on-the-spot assessment. For the development of our system we partnered with a local healthcare NGO working in rural Guatemala, one of the poorest regions in Latin America. For the first time, the systemic barriers to maternal-child care posed by the acute lack of access to basic diagnostic technology, decision support, and reliable linkages between lay birth attendants and higher levels of care will be addressed. An initial usability study has been conducted to assess the feasibility of introducing the proposed system for use by frontline health care workers. The high rate of successful signal recordings and the positive feedback on system use and utility are encouraging indicators that, by bringing together engineers, physicians, public health workers, anthropologists, and local NGOs, we are developing an intuitive system capable in assisting practicing birth attendants to elevate the level of services they provide.},
  eventtitle = {Appropriate {{Healthcare Technologies}} for {{Low Resource Settings}} ({{AHT}} 2014)},
  isbn = {978-1-84919-915-5},
  langid = {english},
  keywords = {cliffordlab},
  file = {/home/src/Offline/Papers/fathima et al_2014_a low-cost perinatal monitoring system for use in rural guatemala.pdf}
}

@article{favazza1993diagnostic,
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@article{favazza1998coming,
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@article{ferguson2016effect,
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  author = {Ferguson, Christopher J},
  date = {2016},
  publisher = {{American Psychological Association}}
}

@article{ferretti2020quantifying,
  title = {Quantifying {{SARS-CoV-2}} Transmission Suggests Epidemic Control with Digital Contact Tracing},
  author = {Ferretti, Luca and Wymant, Chris and Kendall, Michelle and Zhao, Lele and Nurtay, Anel and Abeler-Dörner, Lucie and Parker, Michael and Bonsall, David and Fraser, Christophe},
  date = {2020},
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}

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  author = {Feyerabend, Paul},
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  edition = {3rd ed},
  publisher = {{Verso}},
  location = {{London ; New York}},
  isbn = {978-0-86091-481-5 978-0-86091-646-8},
  langid = {english},
  pagetotal = {279},
  keywords = {Methodology,Philosophy,Rationalism,Science},
  file = {/home/src/Papers/feyerabend_1993_against method.pdf}
}

@report{fieldsDesignOperation20202020,
  title = {Design and {{Operation}} of the 2020 {{Household Pulse Survey}}, 2020},
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  date = {2020},
  institution = {{U.S. Census Bureau}},
  url = {https://www2.census.gov/programs-surveys/demo/technical-documentation/hhp/2020_HPS_Background.pdf},
  urldate = {2020-11-08},
  file = {/home/cedarprince/Zotero/storage/I37Q4LY3/2020_HPS_Background.pdf}
}

@article{fleming2010m,
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@article{flood30integrated,
  title = {Integrated Public Use Microdata Series, Current Population Survey: Version 7.0 [Dataset]. {{Minneapolis}}, {{MN}}: {{Integrated}} Public Use Microdata; 2020},
  author = {Flood, Sarah and King, Miriam and Rodgers, Renae and Ruggles, Steven and Warren, JR}
}

@article{foxe1998parieto,
  title = {Parieto-Occipital  1 {{0Hz}} Activity Reflects Anticipatory State of Visual Attention Mechanisms},
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@article{fraser2020digital,
  title = {Digital Contact Tracing: Comparing the Capabilities of Centralised and Decentralised Data Architectures to Effectively Suppress the {{COVID-19}} Epidemic Whilst Maximising Freedom of Movement and Maintaining Privacy},
  author = {Fraser, Christophe and Abeler-Dörner, Lucie and Ferretti, Luca and Parker, Michael and Kendall, Michelle and Bonsall, David},
  date = {2020},
  journaltitle = {Univ. Oxf.}
}

@online{fridmanJudeaPearlCausal2019,
  title = {Judea {{Pearl}}: {{Causal Reasoning}}, {{Counterfactuals}}, {{Bayesian Networks}}, and the {{Path}} to {{AGI}} | {{MIT}} | {{Artificial Intelligence Podcast}}},
  shorttitle = {Judea {{Pearl}}},
  author = {Fridman, Lex},
  date = {2019-12-11T16:33:31+00:00},
  url = {https://lexfridman.com/judea-pearl/},
  urldate = {2020-03-21},
  abstract = {Judea Pearl is a professor at UCLA and a winner of the Turing Award, that’s generally recognized as the Nobel Prize of computing. He is one of the seminal figures in the field of artificial intelligence, computer science, and statistics. He has developed and championed probabilistic approaches to AI, including Bayesian Networks and profound ideas in causality in general. These ideas are important not just for AI, but to our understanding and practice of science. But in the field of AI, the idea of causality, cause and effect, to many, lies at the core of what is currently missing and},
  langid = {american},
  organization = {{Lex Fridman}},
  file = {/home/cedarprince/Zotero/storage/7QKRVALH/judea-pearl.html}
}

@article{friston2011functional,
  title = {Functional and Effective Connectivity: A Review},
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  journaltitle = {Brain Connect.},
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  publisher = {{Mary Ann Liebert, Inc. 140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA}}
}

@article{fujiura2003continuum,
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}

@article{funder2019evaluating,
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}

@article{galesic2006complementing,
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}

@inbook{garciamartinezLoadingPlottingFiltering2017,
  title = {Loading, {{Plotting}}, and {{Filtering RR Intervals}}},
  booktitle = {Heart {{Rate Variability Analysis}} with the {{R}} Package {{RHRV}}},
  author = {García Martínez, Constantino Antonio and Otero Quintana, Abraham and Vila, Xosé A. and Lado Touriño, María José and Rodríguez-Liñares, Leandro and Rodríguez Presedo, Jesús María and Méndez Penín, Arturo José},
  date = {2017},
  series = {Use {{R}}!},
  pages = {15--28},
  publisher = {{Springer International Publishing}},
  location = {{Cham}},
  doi = {10.1007/978-3-319-65355-6_2},
  abstract = {The initial steps to work with RHRV functions are presented in this chapter. The process starts with the loading of records containing beat positions that should be preprocessed prior to frequency, time, or nonlinear analysis. Data can be stored in various types of files, and RHRV routines can deal with different data formats. Next, heart rate must be obtained from beat positions. It may occur that spurious points appear in the heart rate signal. RHRV allows users to delete these outliers, when necessary. Besides, the signal can be filtered to reject automatically points that do not correspond to acceptable physiological values.},
  bookauthor = {García Martínez, Constantino Antonio and Otero Quintana, Abraham and Vila, Xosé A. and Lado Touriño, María José and Rodríguez-Liñares, Leandro and Rodríguez Presedo, Jesús María and Méndez Penín, Arturo José},
  isbn = {978-3-319-65354-9 978-3-319-65355-6},
  langid = {english},
  file = {/home/src/Offline/Papers/garcía martínez et al_2017_loading, plotting, and filtering rr intervals.pdf}
}

@article{garg2020hospitalization,
  title = {Hospitalization Rates and Characteristics of Patients Hospitalized with Laboratory-Confirmed Coronavirus Disease 2019—{{COVID-NET}}, 14 {{States}}, {{March}} 1–30, 2020},
  author = {Garg, Shikha},
  date = {2020},
  journaltitle = {MMWR Morb. Mortal. Wkly. Rep.},
  volume = {69}
}

@article{garg2020hospitalization,
  title = {Hospitalization Rates and Characteristics of Patients Hospitalized with Laboratory-Confirmed Coronavirus Disease 2019—{{COVID-NET}}, 14 {{States}}, {{March}} 1–30, 2020},
  author = {Garg, Shikha and Kim, Lindsay and Whitaker, Michael and O’Halloran, Alissa and Cummings, Charisse and Holstein, Rachel and Prill, Mila and Chai, Shua J and Kirley, Pam D and Alden, Nisha B and others},
  date = {2020},
  journaltitle = {Morb. Mortal. Wkly. Rep.},
  volume = {69},
  number = {15},
  pages = {458},
  publisher = {{Centers for Disease Control and Prevention}}
}

@article{germain2012direct,
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  number = {1-2},
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  publisher = {{Elsevier}}
}

@article{geuter2014parametric,
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  date = {2014},
  journaltitle = {PAIN®},
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  number = {5},
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}

@book{gibbsCambridgeHandbookMetaphor,
  title = {The {{Cambridge Handbook}} of {{Metaphor}} and {{Thought}}},
  author = {Gibbs, Raymond W},
  langid = {english},
  file = {/home/src/Offline/Papers/gibbs_the cambridge handbook of metaphor and thought.pdf}
}

@article{gibneyRESEARCHERSWANTWIRE,
  title = {{{RESEARCHERS WANT TO WIRE THE HUMAN BODY WITH SENSORS THAT COULD HARVEST REAMS OF DATA}} — {{AND TRANSFORM HEALTH CARE}}.},
  author = {Gibney, Elizabeth},
  pages = {3},
  langid = {english},
  file = {/Users/jzelko3/Knowledgebase/Papers/Gibney_RESEARCHERS WANT TO WIRE THE HUMAN BODY WITH SENSORS THAT COULD HARVEST REAMS.pdf}
}

@article{giudice2009programmed,
  title = {Programmed to Learn? {{The}} Ontogeny of Mirror Neurons},
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  journaltitle = {Dev. Sci.},
  volume = {12},
  number = {2},
  pages = {350--363},
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}

@book{GoldenRatioDiscovered2010,
  title = {Golden Ratio Discovered in a Quantum World},
  date = {2010-01-07},
  publisher = {{Eurekalert.org}},
  url = {http://www.eurekalert.org/pub_releases/2010-01/haog-grd010510.php},
  annotation = {Context Object: ctx\_ver=Z39.88-2004\&rft\_val\_fmt=info\%3Aofi\%2Ffmt\%3Akev\%3Amtx\%3Abook\&rft.genre=unknown\&rft.btitle=Golden+ratio+discovered+in+a+quantum+world\&rft.pub=Eurekalert.org\&rft.date=2010-01-07\&rft\_id=http\%3A\%2F\%2Fwww.eurekalert.org\%2Fpub\_releases\%2F2010-01\%2Fhaog-grd010510.php\&rfr\_id=info\%3Asid\%2Fen.wikipedia.org\%3AGolden+ratio}
}

@inproceedings{goodwinPredictingImminentAggression2018,
  title = {Predicting {{Imminent Aggression Onset}} in {{Minimally-Verbal Youth}} with {{Autism Spectrum Disorder Using Preceding Physiological Signals}}},
  booktitle = {Proceedings of the 12th {{EAI International Conference}} on {{Pervasive Computing Technologies}} for {{Healthcare}} - {{PervasiveHealth}} '18},
  author = {Goodwin, Matthew S. and Erdoğmuş, Deniz and Ioannidis, Stratis and Özdenizci, Ozan and Cumpanasoiu, Catalina and Tian, Peng and Guo, Yuan and Stedman, Amy and Peura, Christine and Mazefsky, Carla and Siegel, Matthew},
  date = {2018},
  pages = {201--207},
  publisher = {{ACM Press}},
  location = {{New York, NY, USA}},
  doi = {10.1145/3240925.3240980},
  eventtitle = {The 12th {{EAI International Conference}}},
  isbn = {978-1-4503-6450-8},
  langid = {english},
  file = {/home/src/Offline/Papers/goodwin et al_2018_predicting imminent aggression onset in minimally-verbal youth with autism.pdf}
}

@article{gorgolewskiBrainImagingData2016,
  title = {The Brain Imaging Data Structure, a Format for Organizing and Describing Outputs of Neuroimaging Experiments},
  author = {Gorgolewski, Krzysztof J. and Auer, Tibor and Calhoun, Vince D. and Craddock, R. Cameron and Das, Samir and Duff, Eugene P. and Flandin, Guillaume and Ghosh, Satrajit S. and Glatard, Tristan and Halchenko, Yaroslav O. and Handwerker, Daniel A. and Hanke, Michael and Keator, David and Li, Xiangrui and Michael, Zachary and Maumet, Camille and Nichols, B. Nolan and Nichols, Thomas E. and Pellman, John and Poline, Jean-Baptiste and Rokem, Ariel and Schaefer, Gunnar and Sochat, Vanessa and Triplett, William and Turner, Jessica A. and Varoquaux, Gaël and Poldrack, Russell A.},
  date = {2016-12},
  journaltitle = {Sci Data},
  volume = {3},
  number = {1},
  pages = {160044},
  issn = {2052-4463},
  doi = {10.1038/sdata.2016.44},
  langid = {english},
  file = {/home/src/Papers/gorgolewski et al_2016_the brain imaging data structure, a format for organizing and describing.pdf}
}

@article{gorgolewskiBrainImagingData2016a,
  title = {The Brain Imaging Data Structure, a Format for Organizing and Describing Outputs of Neuroimaging Experiments},
  author = {Gorgolewski, Krzysztof J. and Auer, Tibor and Calhoun, Vince D. and Craddock, R. Cameron and Das, Samir and Duff, Eugene P. and Flandin, Guillaume and Ghosh, Satrajit S. and Glatard, Tristan and Halchenko, Yaroslav O. and Handwerker, Daniel A. and Hanke, Michael and Keator, David and Li, Xiangrui and Michael, Zachary and Maumet, Camille and Nichols, B. Nolan and Nichols, Thomas E. and Pellman, John and Poline, Jean-Baptiste and Rokem, Ariel and Schaefer, Gunnar and Sochat, Vanessa and Triplett, William and Turner, Jessica A. and Varoquaux, Gaël and Poldrack, Russell A.},
  date = {2016-06-21},
  journaltitle = {Sci. Data},
  volume = {3},
  number = {1},
  pages = {160044},
  publisher = {{Nature Publishing Group}},
  issn = {2052-4463},
  doi = {10.1038/sdata.2016.44},
  abstract = {The development of magnetic resonance imaging (MRI) techniques has defined modern neuroimaging. Since its inception, tens of thousands of studies using techniques such as functional MRI and diffusion weighted imaging have allowed for the non-invasive study of the brain. Despite the fact that MRI is routinely used to obtain data for neuroscience research, there has been no widely adopted standard for organizing and describing the data collected in an imaging experiment. This renders sharing and reusing data (within or between labs) difficult if not impossible and unnecessarily complicates the application of automatic pipelines and quality assurance protocols. To solve this problem, we have developed the Brain Imaging Data Structure (BIDS), a standard for organizing and describing MRI datasets. The BIDS standard uses file formats compatible with existing software, unifies the majority of practices already common in the field, and captures the metadata necessary for most common data processing operations.},
  issue = {1},
  langid = {english},
  file = {/home/src/Papers/gorgolewski et al_2016_the brain imaging data structure, a format for organizing and describing2.pdf;/home/cedarprince/Zotero/storage/Z9BEFEN3/sdata201644.html}
}

@article{graff1967syndrome,
  title = {The Syndrome of the Wrist Cutter},
  author = {Graff, Harold and Mallin, Richard},
  date = {1967},
  journaltitle = {Am. J. Psychiatry},
  volume = {124},
  number = {1},
  pages = {36--42},
  publisher = {{Am Psychiatric Assoc}}
}

@article{gramfortMEGEEGData2013,
  title = {{{MEG}} and {{EEG}} Data Analysis with {{MNE-Python}}},
  author = {Gramfort, Alexandre and Luessi, Martin and Larson, Eric and Engemann, Denis A. and Strohmeier, Daniel and Brodbeck, Christian and Goj, Roman and Jas, Mainak and Brooks, Teon and Parkkonen, Lauri and Hämäläinen, Matti},
  date = {2013},
  journaltitle = {Front. Neurosci.},
  volume = {7},
  publisher = {{Frontiers}},
  issn = {1662-453X},
  doi = {10.3389/fnins.2013.00267},
  abstract = {Magnetoencephalography and electroencephalography (M/EEG) measure the weakelectromagnetic signals generated by neuronal activity in the brain. Using thesesignals to characterize and locate neural activation in the brain is achallenge that requires expertise in physics, signalprocessing, statistics, and numerical methods. As part of the MNE softwaresuite, MNE-Python is an open-sourcesoftware package that addresses this challenge by providingstate-of-the-art algorithms implemented in Python that cover multiple methods of data preprocessing, source localization, statistical analysis, and estimation offunctional connectivity between distributed brain regions.All algorithms and utility functions are implemented in a consistent manner with well-documented interfaces, enabling users to create M/EEG data analysispipelines by writing Python scripts.Moreover, MNE-Python is tightly integrated with the core Python libraries for scientificcomptutation (Numpy, Scipy) and visualization (matplotlib and Mayavi), as wellas the greater neuroimaging ecosystem in Python via the Nibabel package. The code is provided under the new BSD licenseallowing code reuse, even in commercial products. Although MNE-Python has onlybeen under heavy development for a couple of years, it has rapidly evolved withexpanded analysis capabilities and pedagogical tutorials because multiple labs have collaborated during code development to help share best practices.MNE-Python also gives easy access to preprocessed datasets,helping users to get started quickly and facilitating reproducibility ofmethods by other researchers. Full documentation, including dozens ofexamples, is available at http://martinos.org/mne.},
  langid = {english},
  keywords = {Electroencephalography (EEG),Magnetoencephalography (MEG),Neuroimaging,open-source,python,Software},
  file = {/home/src/Papers/gramfort et al_2013_meg and eeg data analysis with mne-python.pdf}
}

@article{gratz2001measurement,
  title = {Measurement of Deliberate Self-Harm: {{Preliminary}} Data on the {{Deliberate Self-Harm Inventory}}},
  author = {Gratz, Kim L},
  date = {2001},
  journaltitle = {J. Psychopathol. Behav. Assess.},
  volume = {23},
  number = {4},
  pages = {253--263},
  publisher = {{Springer}}
}

@online{GTD15Minutes,
  title = {{{GTD}} in 15 Minutes – {{A Pragmatic Guide}} to {{Getting Things Done}}},
  url = {https://hamberg.no/gtd},
  urldate = {2020-03-19},
  file = {/home/cedarprince/Zotero/storage/YQQX9AVS/gtd.html}
}

@report{hammCultivatingEntrepreneurialEcosystem2020,
  title = {Cultivating an {{Entrepreneurial Ecosystem}}: {{Replicating Israeli Science}}, {{Technology}}, and {{Innovation}} ({{STI}}) {{Best Practices}} in {{Egypt}} and {{Jordan}}},
  author = {Hamm, Elisia},
  date = {2020},
  file = {/home/src/Papers/hamm_2020_cultivating an entrepreneurial ecosystem.pdf}
}

@article{hancock2013search,
  title = {In Search of Vigilance: The Problem of Iatrogenically Created Psychological Phenomena.},
  author = {Hancock, Peter A},
  date = {2013},
  journaltitle = {Am. Psychol.},
  volume = {68},
  number = {2},
  pages = {97},
  publisher = {{American Psychological Association}}
}

@report{hanIncomePovertyCOVID192020,
  title = {Income and {{Poverty}} in the {{COVID-19 Pandemic}}},
  author = {Han, Jeehoon and Meyer, Bruce and Sullivan, James},
  date = {2020-08},
  number = {w27729},
  pages = {w27729},
  institution = {{National Bureau of Economic Research}},
  location = {{Cambridge, MA}},
  doi = {10.3386/w27729},
  abstract = {This paper addresses the economic impact of the COVID-19 pandemic by providing timely and accurate information on the impact of the current pandemic on income and poverty to inform the targeting of resources to those most affected and assess the success of current efforts. We construct new measures of the income distribution and poverty with a lag of only a few weeks using high frequency data from the Basic Monthly Current Population Survey (CPS), which collects income information for a large, representative sample of U.S. families. Because the family income data for this project are rarely used, we validate this timely measure of income by comparing historical estimates that rely on these data to estimates from data on income and consumption that have been used much more broadly. Our results indicate that at the start of the pandemic, government policy effectively countered its effects on incomes, leading poverty to fall and low percentiles of income to rise across a range of demographic groups and geographies. Simulations that rely on the detailed CPS data and that closely match total government payments made show that the entire decline in poverty that we find can be accounted for by the rise in government assistance, including unemployment insurance benefits and the Economic Impact Payments. Our simulations further indicate that of those losing employment the vast majority received unemployment insurance, though this was less true early on in the pandemic and receipt was uneven across the states, with some states not reaching a large share of their out of work residents.},
  langid = {english},
  file = {/home/src/Papers/han et al_2020_income and poverty in the covid-19 pandemic.pdf}
}

@article{harlow1998if,
  title = {What If There Were No Significance Tests},
  author = {Harlow, Lisa L and Mulaik, Stanley A and Steiger, James H},
  date = {1998},
  publisher = {{SAGE PUBLICATIONS INC 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA}}
}

@online{harvardhealthpublishingUnderstandingStressResponse,
  title = {Understanding the Stress Response},
  author = {{Harvard Health Publishing}},
  langid = {english},
  file = {/home/src/Offline/Papers/harvard health publishing_understanding the stress response.pdf}
}

@book{haverbekeEloquentJavascript2018,
  title = {Eloquent {{Javascript}}},
  author = {Haverbeke, Marijn},
  date = {2018},
  edition = {3rd},
  file = {/home/src/Offline/Papers/haverbeke_2018_eloquent javascript.pdf}
}

@article{havercamp2015national,
  title = {National Health Surveillance of Adults with Disabilities, Adults with Intellectual and Developmental Disabilities, and Adults with No Disabilities},
  author = {Havercamp, Susan M and Scott, Haleigh M},
  date = {2015},
  journaltitle = {Disabil. Health J.},
  volume = {8},
  number = {2},
  pages = {165--172},
  publisher = {{Elsevier}}
}

@article{he2020temporal,
  title = {Temporal Dynamics in Viral Shedding and Transmissibility of {{COVID-19}}},
  author = {He, Xi and Lau, Eric HY and Wu, Peng and Deng, Xilong and Wang, Jian and Hao, Xinxin and Lau, Yiu Chung and Wong, Jessica Y and Guan, Yujuan and Tan, Xinghua and others},
  date = {2020},
  journaltitle = {Nat. Med.},
  volume = {26},
  number = {5},
  pages = {672--675},
  publisher = {{Nature Publishing Group}}
}

@online{HebbianTheory2020,
  title = {Hebbian {{Theory}}},
  date = {2020},
  organization = {{Wikipedia}},
  file = {/home/src/Offline/Papers/2020_hebbian theory.pdf}
}

@article{hedden2012comparison,
  title = {Comparison of {{NSDUH}} Mental Health Data and Methods with Other Data Sources},
  author = {Hedden, Sarra and Gfroerer, Joe and Barker, Peggy and Smith, Shelagh and Pemberton, Michael R and Saavedra, Lissette M and Forman-Hoffman, Valerie L and Ringeisen, Heather and Novak, Scott P},
  date = {2012},
  journaltitle = {CBHSQ Data Rev.},
  publisher = {{Substance Abuse and Mental Health Services Administration (US)}}
}

@article{heestermansPrognosticModelsAdverse2019,
  title = {Prognostic Models for Adverse Pregnancy Outcomes in Low-Income and Middle-Income Countries: A Systematic Review},
  shorttitle = {Prognostic Models for Adverse Pregnancy Outcomes in Low-Income and Middle-Income Countries},
  author = {Heestermans, Tessa and Payne, Beth and Kayode, Gbenga Ayodele and Amoakoh-Coleman, Mary and Schuit, Ewoud and Rijken, Marcus J and Klipstein-Grobusch, Kerstin and Bloemenkamp, Kitty and Grobbee, Diederick E and Browne, Joyce L},
  date = {2019-10},
  journaltitle = {BMJ Glob Health},
  volume = {4},
  number = {5},
  pages = {e001759},
  issn = {2059-7908},
  doi = {10.1136/bmjgh-2019-001759},
  abstract = {Introduction\hspace{0.6em} Ninety-­nine per cent of all maternal and neonatal deaths occur in low-­income and middle-­ income countries (LMIC). Prognostic models can provide standardised risk assessment to guide clinical management and can be vital to reduce and prevent maternal and perinatal mortality and morbidity. This review provides a comprehensive summary of prognostic models for adverse maternal and perinatal outcomes developed and/or validated in LMIC. Methods\hspace{0.6em} A systematic search in four databases (PubMed/ Medline, EMBASE, Global Health Library and The Cochrane Library) was conducted from inception (1970) up to 2 May 2018. Risk of bias was assessed with the PROBAST tool and narratively summarised. Results\hspace{0.6em} 1741 articles were screened and 21 prognostic models identified. Seventeen models focused on maternal outcomes and four on perinatal outcomes, of which hypertensive disorders of pregnancy (n=9) and perinatal death including stillbirth (n=4) was most reported. Only one model was externally validated. Thirty different predictors were used to develop the models. Risk of bias varied across studies, with the item ‘quality of analysis’ performing the least. Conclusion\hspace{0.6em} Prognostic models can be easy to use, informative and low cost with great potential to improve maternal and neonatal health in LMIC settings. However, the number of prognostic models developed or validated in LMIC settings is low and mirrors the 10/90 gap in which only 10\% of resources are dedicated to 90\% of the global disease burden. External validation of existing models developed in both LMIC and high-­income countries instead of developing new models should be encouraged. PROSPERO registration number\hspace{0.6em} CRD42017058044.},
  langid = {english},
  file = {/home/src/Papers/heestermans et al_2019_prognostic models for adverse pregnancy outcomes in low-income and.pdf}
}

@article{hegdeAutoTriageOpenSource2020,
  title = {{{AutoTriage}} - {{An Open Source Edge Computing Raspberry Pi-based Clinical Screening System}}},
  author = {Hegde, Chaitra and Suresha, Pradyumna Byappanahalli and Zelko, Jacob and Jiang, Zifan and Kamaleswaran, Rishikesan and Reyna, Matt A. and Clifford, Gari D.},
  date = {2020-04-11},
  journaltitle = {medRxiv},
  pages = {2020.04.09.20059840},
  publisher = {{Cold Spring Harbor Laboratory Press}},
  doi = {10.1101/2020.04.09.20059840},
  abstract = {{$<$}p{$>$}With the recent COVID-19 pandemic, healthcare systems all over the world are struggling to manage the massive increase in emergency department (ED) visits. This has put an enormous demand on medical professionals. Increased wait times in the ED increases the risk of infection transmission. In this work we present an open-source, low cost, off-body system to assist in the automatic triage of patients in the ED based on widely available hardware. The system initially focuses on two symptoms of the infection - fever and cyanosis. The use of visible and far-infrared cameras allows for rapid assessment at a 1m distance, thus reducing the load on medical staff and lowering the risk of spreading the infection within hospitals. Its utility can be extended to a general clinical setting in non-emergency times as well to reduce wait time, channel the time and effort of healthcare professionals to more critical tasks and also prioritize severe cases. Our system consists of a Raspberry Pi 4, a Google Coral USB accelerator, a Raspberry Pi Camera v2 and a FLIR Lepton 3.5 Radiometry Long-Wave Infrared Camera with an associated IO module. Algorithms running in real-time detect the presence and body parts of individual(s) in view, and segments out the forehead and lip regions using PoseNet. The temperature of the forehead-eye area is estimated from the infrared camera image and cyanosis is assessed from the image of the lips in the visible spectrum. In our preliminary experiments, an accuracy of 97\% was achieved for detecting fever and 77\% for the detection of cyanosis, with a sensitivity of 91\% and area under the receiver operating characteristic curve of 0.91. Although preliminary results are promising, we note that the entire system needs to be optimized before use and assessed for efficacy. The use of low-cost instrumentation will not produce temperature readings and identification of cyanosis that is acceptable in many situations. For this reason, we are releasing the full code stack and system design to allow others to rapidly iterate and improve the system. This may be of particular benefit in low-resource settings, and low-to-middle income countries in particular, which are just beginning to be affected by COVID-19.{$<$}/p{$>$}},
  langid = {english},
  file = {/home/src/Offline/Papers/hegde et al_2020_autotriage - an open source edge computing raspberry pi-based clinical.pdf;/home/cedarprince/Zotero/storage/J5QIVBTM/2020.04.09.html}
}

@article{hellewell2020feasibility,
  title = {Feasibility of Controlling {{COVID-19}} Outbreaks by Isolation of Cases and Contacts},
  author = {Hellewell, Joel and Abbott, Sam and Gimma, Amy and Bosse, Nikos I and Jarvis, Christopher I and Russell, Timothy W and Munday, James D and Kucharski, Adam J and Edmunds, W John and Sun, Fiona and others},
  date = {2020},
  journaltitle = {Lancet Glob. Health},
  publisher = {{Elsevier}}
}

@article{hellewell2020feasibility,
  title = {Feasibility of Controlling {{COVID-19}} Outbreaks by Isolation of Cases and Contacts},
  author = {Hellewell, Joel and Abbott, Sam and Gimma, Amy and Bosse, Nikos I and Jarvis, Christopher I and Russell, Timothy W and Munday, James D and Kucharski, Adam J and Edmunds, W John and Sun, Fiona and others},
  date = {2020},
  journaltitle = {Lancet Glob. Health},
  publisher = {{Elsevier}}
}

@article{helton2008signal,
  title = {Signal Salience and the Mindlessness Theory of Vigilance},
  author = {Helton, William S and Warm, Joel S},
  date = {2008},
  journaltitle = {Acta Psychol. (Amst.)},
  volume = {129},
  number = {1},
  pages = {18--25},
  publisher = {{Elsevier}}
}

@article{heltonRestBestRole2015,
  title = {Rest Is Best: {{The}} Role of Rest and Task Interruptions on Vigilance},
  shorttitle = {Rest Is Best},
  author = {Helton, William S. and Russell, Paul N.},
  date = {2015-01},
  journaltitle = {Cognition},
  volume = {134},
  pages = {165--173},
  issn = {00100277},
  doi = {10.1016/j.cognition.2014.10.001},
  abstract = {We examined the impact task interruptions have on visuospatial vigilance in two experiments. In the first experiment participants were randomly assigned to one of three interruptions: participants were given a complete rest (rest), participants completed an alphanumeric vigilance task (letter), or participants performed the primary vigilance task (continuous). In the second experiment participants were randomly assigned to one of the conditions from the first experiment or to two further conditions, in which participants (spatial memory) performed a spatial match to sample task, or participants (verbal memory) performed a letter match to sample task. Vigilance performance post-interruption was best for rest, worst for continuous, and varied for the other interruption tasks. Overall, the results suggest the vigilance decrement is due to the repeated use of particular executive resources, but there may, in addition be domain specific interference when the primary task and activities during a break make use of the same resources.},
  langid = {english},
  file = {/home/src/Offline/Papers/helton_russell_2015_rest is best.pdf}
}

@incollection{hernandezCallCenterStress2011,
  title = {Call {{Center Stress Recognition}} with {{Person-Specific Models}}},
  booktitle = {Affective {{Computing}} and {{Intelligent Interaction}}},
  author = {Hernandez, Javier and Morris, Rob R. and Picard, Rosalind W.},
  editor = {D’Mello, Sidney and Graesser, Arthur and Schuller, Björn and Martin, Jean-Claude},
  date = {2011},
  series = {Lecture {{Notes}} in {{Computer Science}}},
  volume = {6974},
  pages = {125--134},
  publisher = {{Springer Berlin Heidelberg}},
  location = {{Berlin, Heidelberg}},
  doi = {10.1007/978-3-642-24600-5_16},
  abstract = {Nine call center employees wore a skin conductance sensor on the wrist for a week at work and reported stress levels of each call. Although everyone had the same job profile, we found large differences in how individuals reported stress levels, with similarity from day to day within the same participant, but large differences across the participants. We examined two ways to address the individual differences to automatically recognize classes of stressful/non-stressful calls, namely modifying the loss function of Support Vector Machines (SVMs) to adapt to the varying priors, and giving more importance to training samples from the most similar people in terms of their skin conductance lability. We tested the methods on 1500 calls and achieved an accuracy across participants of 78.03\% when trained and tested on different days from the same person, and of 73.41\% when trained and tested on different people using the proposed adaptations to SVMs.},
  isbn = {978-3-642-24599-2 978-3-642-24600-5},
  langid = {english},
  file = {/home/src/Offline/Papers/hernandez et al_2011_call center stress recognition with person-specific models.pdf}
}

@online{HighPrecisionTiming,
  title = {High {{Precision Timing}} of {{R Expressions}} • Bench},
  url = {https://bench.r-lib.org/},
  urldate = {2021-08-13}
}

@article{hightower2001location,
  title = {Location Systems for Ubiquitous Computing},
  author = {Hightower, Jeffrey and Borriello, Gaetano},
  date = {2001},
  journaltitle = {Computer},
  volume = {34},
  number = {8},
  pages = {57--66},
  publisher = {{IEEE}},
  file = {/home/src/Offline/Papers/hightower_borriello_2001_location systems for ubiquitous computing.pdf}
}

@article{hill1994longitudinal,
  title = {A Longitudinal Analysis of Predictors of Quitting Smoking among Participants in a Self-Help Intervention Trial},
  author = {Hill, Holly A and Schoenbach, Victor J and Kleinbaum, David G and Strecher, Victor J and Orleans, C Tracy and Gebski, Val J and Kaplan, Berton H},
  date = {1994},
  journaltitle = {Addict. Behav.},
  volume = {19},
  number = {2},
  pages = {159--173},
  publisher = {{Elsevier}}
}

@article{hinch2020effective,
  title = {Effective Configurations of a Digital Contact Tracing App: {{A}} Report to {{NHSX}}},
  author = {Hinch, Robert and Probert, W and Nurtay, A and Kendall, M and Wymant, C and Hall, Matthew and Fraser, C},
  date = {2020},
  journaltitle = {En InApr 2020 Available Here Url Httpsgithub ComBDI-Pathog.-19instanttracingblobmasterReport}
}

@article{hintze1998violin,
  title = {Violin Plots: A Box Plot-Density Trace Synergism},
  author = {Hintze, Jerry L and Nelson, Ray D},
  date = {1998},
  journaltitle = {Am. Stat.},
  volume = {52},
  number = {2},
  pages = {181--184},
  publisher = {{Taylor \& Francis}}
}

@article{hintzman1974theoretical,
  title = {Theoretical Implications of the Spacing Effect.},
  author = {Hintzman, Douglas L},
  date = {1974},
  publisher = {{Lawrence Erlbaum}}
}

@video{HowMakeSIMPLE,
  title = {How to {{Make}} a {{SIMPLE Bullet Journal}} ({{Really}})},
  url = {https://www.youtube.com/watch?v=YGjWjRTf6MY},
  urldate = {2020-03-18},
  abstract = {Leave your Washi Tape at home! Check out my list of journal recommendations here!! https://www.amazon.co.uk/shop/liamdryden TWITCH: http://twitch.tv/liamdryden DISCORD: [invite rescinded this was a mistake lmao] PATREON: https://www.patreon.com/LiamDryden THE REST: http://liamdryden.com \_\_ Hello, I'm Liam Dryden! I've been a YouTuber for 10 years, a Twitch streamer for about 10 minutes, and have roughly 10 podcast ideas I'd love to get off the ground. None of these things would be worth doing without the awesome community I've been building this whole time, so join us!}
}

@article{hripcsak2015observational,
  title = {Observational Health Data Sciences and Informatics ({{OHDSI}}): Opportunities for Observational Researchers},
  author = {Hripcsak, George and Duke, Jon D and Shah, Nigam H and Reich, Christian G and Huser, Vojtech and Schuemie, Martijn J and Suchard, Marc A and Park, Rae Woong and Wong, Ian Chi Kei and Rijnbeek, Peter R and others},
  date = {2015},
  journaltitle = {Stud. Health Technol. Inform.},
  volume = {216},
  pages = {574},
  publisher = {{NIH Public Access}}
}

@inproceedings{huh2014weaving,
  title = {Weaving Clinical Expertise in Online Health Communities},
  booktitle = {Proceedings of the {{SIGCHI}} Conference on Human Factors in Computing Systems},
  author = {Huh, Jina and Pratt, Wanda},
  date = {2014},
  pages = {1355--1364}
}

@article{hutchison2013dynamic,
  title = {Dynamic Functional Connectivity: Promise, Issues, and Interpretations},
  author = {Hutchison, R Matthew and Womelsdorf, Thilo and Allen, Elena A and Bandettini, Peter A and Calhoun, Vince D and Corbetta, Maurizio and Della Penna, Stefania and Duyn, Jeff H and Glover, Gary H and Gonzalez-Castillo, Javier and others},
  date = {2013},
  journaltitle = {Neuroimage},
  volume = {80},
  pages = {360--378},
  publisher = {{Elsevier}}
}

@article{iachanNationalWeightingData2016,
  title = {National Weighting of Data from the {{Behavioral Risk Factor Surveillance System}} ({{BRFSS}})},
  author = {Iachan, Ronaldo and Pierannunzi, Carol and Healey, Kristie and Greenlund, Kurt J. and Town, Machell},
  date = {2016-12},
  journaltitle = {BMC Med Res Methodol},
  volume = {16},
  number = {1},
  pages = {155},
  issn = {1471-2288},
  doi = {10.1186/s12874-016-0255-7},
  abstract = {Background: The Behavioral Risk Factor Surveillance System (BRFSS) is a network of health-related telephone surveys–conducted by all 50 states, the District of Columbia, and participating US territories—that receive technical assistance from CDC. Data users often aggregate BRFSS state samples for national estimates without accounting for state-level sampling, a practice that could introduce bias because the weighted distributions of the state samples do not always adhere to national demographic distributions. Methods: This article examines six methods of reweighting, which are then compared with key health indicator estimates from the National Health Interview Survey (NHIS) based on 2013 data. Results: Compared to the usual stacking approach, all of the six new methods reduce the variance of weights and design effect at the national level, and some also reduce the estimated bias. This article also provides a comparison of the methods based on the variances induced by unequal weighting as well as the bias reduction induced by raking at the national level, and recommends a preferred method. Conclusions: The new method leads to weighted distributions that more accurately reproduce national demographic characteristics. While the empirical results for key estimates were limited to a few health indicators, they also suggest reduction in potential bias and mean squared error. To the extent that survey outcomes are associated with these demographic characteristics, matching the national distributions will reduce bias in estimates of these outcomes at the national level.},
  langid = {english},
  file = {/home/cedarprince/Zotero/storage/RJYXAL64/Iachan et al. - 2016 - National weighting of data from the Behavioral Ris.pdf}
}

@article{ihaka1996r,
  title = {R: A Language for Data Analysis and Graphics},
  author = {Ihaka, Ross and Gentleman, Robert},
  date = {1996},
  journaltitle = {J. Comput. Graph. Stat.},
  volume = {5},
  number = {3},
  pages = {299--314},
  publisher = {{Taylor \& Francis Group}}
}

@article{irimia2012circular,
  title = {Circular Representation of Human Cortical Networks for Subject and Population-Level Connectomic Visualization},
  author = {Irimia, Andrei and Chambers, Micah C and Torgerson, Carinna M and Van Horn, John D},
  date = {2012},
  journaltitle = {Neuroimage},
  volume = {60},
  number = {2},
  pages = {1340--1351},
  publisher = {{Elsevier}}
}

@misc{isaacasimovYoRobot1950,
  title = {Yo, robot},
  author = {{Isaac Asimov}},
  date = {1950},
  langid = {spanish},
  file = {/home/src/Offline/Papers/isaac asimov_1950_yo, robot.pdf}
}

@article{iwata1994toward,
  title = {Toward a Functional Analysis of Self-Injury},
  author = {Iwata, Brian A and Dorsey, Michael F and Slifer, Keith J and Bauman, Kenneth E and Richman, Gina S},
  date = {1994},
  journaltitle = {J. Appl. Behav. Anal.},
  volume = {27},
  number = {2},
  pages = {197--209},
  publisher = {{Wiley Online Library}}
}

@inproceedings{jacobs2014my,
  title = {My Journey Compass: A Preliminary Investigation of a Mobile Tool for Cancer Patients},
  booktitle = {Proceedings of the {{SIGCHI}} Conference on Human Factors in Computing Systems},
  author = {Jacobs, Maia L and Clawson, James and Mynatt, Elizabeth D},
  date = {2014},
  pages = {663--672}
}

@article{jacobsMyPathInvestigatingBreast2018,
  title = {{{MyPath}}: {{Investigating Breast Cancer Patients}}' {{Use}} of {{Personalized Health Information}}},
  shorttitle = {{{MyPath}}},
  author = {Jacobs, Maia and Johnson, Jeremy and Mynatt, Elizabeth D.},
  date = {2018-11},
  journaltitle = {Proc. ACM Hum.-Comput. Interact.},
  volume = {2},
  pages = {1--21},
  issn = {2573-0142, 2573-0142},
  doi = {10.1145/3274347},
  issue = {CSCW},
  langid = {english},
  file = {/home/src/Offline/Papers/jacobs et al_2018_mypath.pdf}
}

@article{jenkins2018assistants,
  title = {Assistants, Guides, Collaborators, Friends: {{The}} Concealed Figures of Conflict Research},
  author = {Jenkins, Sarah Ann},
  date = {2018},
  journaltitle = {J. Contemp. Ethnogr.},
  volume = {47},
  number = {2},
  pages = {143--170},
  publisher = {{Sage Publications Sage CA: Los Angeles, CA}}
}

@article{jiaSampleEntropyReveals2017,
  title = {Sample Entropy Reveals an Age-Related Reduction in the Complexity of Dynamic Brain},
  author = {Jia, Yanbing and Gu, Hua-Guang and Luo, Qiang},
  date = {2017-12-01},
  journaltitle = {Scientific Reports},
  volume = {7},
  doi = {10.1038/s41598-017-08565-y},
  abstract = {Dynamic reconfiguration of the human brain is characterized by the nature of complexity. The purpose of this study was to measure such complexity and also analyze its association with age. We modeled the dynamic reconfiguration process by dynamic functional connectivity, which was established by resting-state functional magnetic resonance imaging (fMRI) data, and we measured complexity within the dynamic functional connectivity by sample entropy (SampEn). A brainwide map of SampEn in healthy subjects shows larger values in the caudate, the olfactory gyrus, the amygdala, and the hippocampus, and lower values in primary sensorimotor and visual areas. Association analysis in healthy subjects indicated that SampEn of the amygdala-cortical connectivity decreases with advancing age. Such age-related loss of SampEn, however, disappears in patients with schizophrenia. These findings suggest that SampEn of the dynamic functional connectivity is a promising indicator of normal aging.},
  file = {/home/src/Papers/jia et al_2017_sample entropy reveals an age-related reduction in the complexity of dynamic.pdf}
}

@book{jonesHowLieGraphs2006,
  title = {How to {{Lie About Graphs}}},
  author = {Jones, George E.},
  date = {2006-10-24},
  publisher = {{BookSurge Publishing}}
}

@online{JuliaHealth,
  title = {{{JuliaHealth}}},
  url = {https://juliahealth.org/},
  urldate = {2021-08-13}
}

@article{kahana2005spacing,
  title = {Spacing and Lag Effects in Free Recall of Pure Lists},
  author = {Kahana, Michael J and Howard, Marc W},
  date = {2005},
  journaltitle = {Psychon. Bull. Rev.},
  volume = {12},
  number = {1},
  pages = {159--164},
  publisher = {{Springer}}
}

@article{keehner2011different,
  title = {Different Clues from Different Views: {{The}} Role of Image Format in Public Perceptions of Neuroimaging Results},
  author = {Keehner, Madeleine and Mayberry, Lisa and Fischer, Martin H},
  date = {2011},
  journaltitle = {Psychon. Bull. Rev.},
  volume = {18},
  number = {2},
  pages = {422--428},
  publisher = {{Springer}}
}

@article{keeling2020efficacy,
  title = {The Efficacy of Contact Tracing for the Containment of the 2019 Novel Coronavirus ({{COVID-19}}).},
  author = {Keeling, Matt J and Hollingsworth, T Deirdre and Read, Jonathan M},
  date = {2020},
  journaltitle = {medRxiv},
  publisher = {{Cold Spring Harbor Laboratory Press}}
}

@article{kent2011hypoxemia,
  title = {Hypoxemia in Patients with {{COPD}}: Cause, Effects, and Disease Progression},
  author = {Kent, Brian D and Mitchell, Patrick D and McNicholas, Walter T},
  date = {2011},
  journaltitle = {Int. J. Chron. Obstruct. Pulmon. Dis.},
  volume = {6},
  pages = {199},
  publisher = {{Dove Press}}
}

@article{kerr1978specific,
  title = {Specific and Varied Practice of Motor Skill},
  author = {Kerr, Robert and Booth, Bernard},
  date = {1978},
  journaltitle = {Percept. Mot. Skills},
  volume = {46},
  number = {2},
  pages = {395--401},
  publisher = {{SAGE Publications Sage CA: Los Angeles, CA}}
}

@incollection{kiddAwareHomeLiving1999,
  title = {The {{Aware Home}}: {{A Living Laboratory}} for {{Ubiquitous Computing Research}}},
  shorttitle = {The {{Aware Home}}},
  booktitle = {Cooperative {{Buildings}}. {{Integrating Information}}, {{Organizations}}, and {{Architecture}}},
  author = {Kidd, Cory D. and Orr, Robert and Abowd, Gregory D. and Atkeson, Christopher G. and Essa, Irfan A. and MacIntyre, Blair and Mynatt, Elizabeth and Starner, Thad E. and Newstetter, Wendy},
  editor = {Streitz, Norbert A. and Siegel, Jane and Hartkopf, Volker and Konomi, Shin’ichi},
  options = {useprefix=true},
  date = {1999},
  volume = {1670},
  pages = {191--198},
  publisher = {{Springer Berlin Heidelberg}},
  location = {{Berlin, Heidelberg}},
  doi = {10.1007/10705432_17},
  abstract = {We are building a home, called the Aware Home, to create a living laboratory for research in ubiquitous computing for everyday activities. This paper introduces the Aware Home project and outlines some of our technologyand human-centered research objectives in creating the Aware Home.},
  editorb = {Goos, Gerhard and Hartmanis, Juris and van Leeuwen, Jan},
  editorbtype = {redactor},
  isbn = {978-3-540-66596-0 978-3-540-48106-5},
  langid = {english},
  file = {/home/src/Offline/Papers/kidd et al_1999_the aware home.pdf}
}

@book{kierkegaard2013kierkegaard,
  title = {Kierkegaard's Writings, {{VI}}, Volume 6: Fear and Trembling/Repetition},
  author = {Kierkegaard, Søren},
  date = {2013},
  publisher = {{Princeton University Press}}
}

@incollection{kindlerInteractionSARSMERS2016,
  title = {Interaction of {{SARS}} and {{MERS Coronaviruses}} with the {{Antiviral Interferon Response}}},
  booktitle = {Advances in {{Virus Research}}},
  author = {Kindler, E. and Thiel, V. and Weber, F.},
  date = {2016},
  volume = {96},
  pages = {219--243},
  publisher = {{Elsevier}},
  doi = {10.1016/bs.aivir.2016.08.006},
  abstract = {Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) are the most severe coronavirus (CoV)-associated diseases in humans. The causative agents, SARS-CoV and MERS-CoV, are of zoonotic origin but may be transmitted to humans, causing severe and often fatal respiratory disease in their new host. The two coronaviruses are thought to encode an unusually large number of factors that allow them to thrive and replicate in the presence of efficient host defense mechanisms, especially the antiviral interferon system. Here, we review the recent progress in our understanding of the strategies that highly pathogenic coronaviruses employ to escape, dampen, or block the antiviral interferon response in human cells.},
  isbn = {978-0-12-804736-1},
  langid = {english},
  file = {/home/src/Offline/Papers/kindler et al_2016_interaction of sars and mers coronaviruses with the antiviral interferon.pdf}
}

@article{klecknerSimpleTransparentFlexible2018,
  title = {Simple, {{Transparent}}, and {{Flexible Automated Quality Assessment Procedures}} for {{Ambulatory Electrodermal Activity Data}}},
  author = {Kleckner, Ian R. and Jones, Rebecca M. and Wilder-Smith, Oliver and Wormwood, Jolie B. and Akcakaya, Murat and Quigley, Karen S. and Lord, Catherine and Goodwin, Matthew S.},
  date = {2018-07},
  journaltitle = {IEEE Trans. Biomed. Eng.},
  volume = {65},
  number = {7},
  pages = {1460--1467},
  issn = {0018-9294, 1558-2531},
  doi = {10.1109/TBME.2017.2758643},
  abstract = {Objective—Electrodermal activity (EDA) is a non-invasive measure of sympathetic activation often used to study emotions, decision-making, and health. The use of “ambulatory” EDA in everyday life presents novel challenges—frequent artifacts and long recordings—with inconsistent methods available for efficiently and accurately assessing data quality. We developed and validated a simple, transparent, flexible, and automated quality assessment procedure for ambulatory EDA data.},
  langid = {english},
  file = {/home/src/Offline/Papers/kleckner et al_2018_simple, transparent, and flexible automated quality assessment procedures for.pdf}
}

@article{klenk2020ethics,
  title = {Ethics of Digital Contact Tracing and {{COVID-19}}: {{Who}} Is (Not) Free to Go?},
  author = {Klenk, Michael and Duijf, Hein and Engels, Christian},
  date = {2020},
  journaltitle = {Available SSRN 3595394}
}

@article{klonsky2003deliberate,
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}

@article{klonsky2007functions,
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  volume = {27},
  number = {2},
  pages = {226--239},
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@article{klonsky2007functions,
  title = {The Functions of Deliberate Self-Injury: {{A}} Review of the Evidence},
  author = {Klonsky, E David},
  date = {2007},
  journaltitle = {Clin. Psychol. Rev.},
  volume = {27},
  number = {2},
  pages = {226--239},
  publisher = {{Elsevier}}
}

@inproceedings{kocielnik2013smart,
  title = {Smart Technologies for Long-Term Stress Monitoring at Work},
  booktitle = {Proceedings of the 26th {{IEEE}} International Symposium on Computer-Based Medical Systems},
  author = {Kocielnik, Rafal and Sidorova, Natalia and Maggi, Fabrizio Maria and Ouwerkerk, Martin and Westerink, Joyce HDM},
  date = {2013},
  pages = {53--58},
  organization = {{IEEE}}
}

@article{kohekMANDATORYMASKBYLAWS,
  title = {{{MANDATORY MASK BYLAWS}}: {{CONSIDERATIONS BEYOND EXEMPTION FOR PERSONS WITH DISABILITIES}}},
  author = {Kohek, Jessica and Seth, Ash and Edwards, Meaghan and Zwicker, Jennifer},
  pages = {12},
  abstract = {The city of Calgary, like many other cities, has made wearing a mask mandatory in most public spaces in order to slow the spread of COVID-19, but adhering to the rule will not always be possible for people with disabilities. The city is clearly aware of the mask-wearing challenges faced by some people with disabilities and their caregivers, and has created exemptions to the rule for them. However, that awareness needs to be publicly promoted, otherwise people with disabilities could face social stigma, criticism or be refused service when they try to reenter the economy without a mask. This could add to the already greater risks and burdens that people with disabilities have faced throughout the pandemic.},
  langid = {english},
  file = {/home/src/Papers/kohek et al_mandatory mask bylaws.pdf}
}

@incollection{korsmanHumanCoronaviruses2012,
  title = {Human Coronaviruses},
  booktitle = {Virology},
  author = {Korsman, Stephen N.J. and van Zyl, Gert U. and Nutt, Louise and Andersson, Monique I. and Preiser, Wolfgang},
  options = {useprefix=true},
  date = {2012},
  pages = {94--95},
  publisher = {{Elsevier}},
  doi = {10.1016/B978-0-443-07367-0.00040-9},
  isbn = {978-0-443-07367-0},
  langid = {english},
  file = {/home/src/Papers/korsman et al_2012_human coronaviruses.pdf}
}

@article{krahn2014health,
  title = {Health Disparities of Adults with Intellectual Disabilities: What Do We Know? {{What}} Do We Do?},
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  date = {2014},
  journaltitle = {J. Appl. Res. Intellect. Disabil.},
  volume = {27},
  number = {5},
  pages = {431--446},
  publisher = {{Wiley Online Library}}
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@article{krahn2015persons,
  title = {Persons with Disabilities as an Unrecognized Health Disparity Population},
  author = {Krahn, Gloria L and Walker, Deborah Klein and Correa-De-Araujo, Rosaly},
  date = {2015},
  journaltitle = {Am. J. Public Health},
  volume = {105},
  number = {S2},
  pages = {S198--S206},
  publisher = {{American Public Health Association}}
}

@article{kriegerMethodsScientificStudy2012,
  title = {Methods for the {{Scientific Study}} of {{Discrimination}} and {{Health}}: {{An Ecosocial Approach}}},
  shorttitle = {Methods for the {{Scientific Study}} of {{Discrimination}} and {{Health}}},
  author = {Krieger, Nancy},
  date = {2012-05},
  journaltitle = {Am J Public Health},
  volume = {102},
  number = {5},
  pages = {936--944},
  issn = {0090-0036, 1541-0048},
  doi = {10.2105/AJPH.2011.300544},
  langid = {english},
  file = {/Users/jzelko3/Knowledgebase/Papers/Krieger_2012_Methods for the Scientific Study of Discrimination and Health.pdf}
}

@online{krogerJavisV0How,
  title = {Javis v0.3: {{How}} to Animate a {{Fourier}} Series},
  shorttitle = {Javis v0.3},
  author = {Kröger, Ole},
  url = {https://opensourc.es/blog/javis-v0.3/},
  urldate = {2020-12-07},
  abstract = {The biggest changes in Javis v0.3 and how it makes animations easier. Making Fourier animations in a few minutes.},
  langid = {english},
  file = {/home/cedarprince/Zotero/storage/TIRMGHY6/javis-v0.3.html}
}

@article{kucharskiEffectivenessIsolationTesting2020,
  title = {Effectiveness of Isolation, Testing, Contact Tracing, and Physical Distancing on Reducing Transmission of {{SARS-CoV-2}} in Different Settings: A Mathematical Modelling Study},
  shorttitle = {Effectiveness of Isolation, Testing, Contact Tracing, and Physical Distancing on Reducing Transmission of {{SARS-CoV-2}} in Different Settings},
  author = {Kucharski, Adam J and Klepac, Petra and Conlan, Andrew J K and Kissler, Stephen M and Tang, Maria L and Fry, Hannah and Gog, Julia R and Edmunds, W John and Emery, Jon C and Medley, Graham and Munday, James D and Russell, Timothy W and Leclerc, Quentin J and Diamond, Charlie and Procter, Simon R and Gimma, Amy and Sun, Fiona Yueqian and Gibbs, Hamish P and Rosello, Alicia and van Zandvoort, Kevin and Hué, Stéphane and Meakin, Sophie R and Deol, Arminder K and Knight, Gwen and Jombart, Thibaut and Foss, Anna M and Bosse, Nikos I and Atkins, Katherine E and Quilty, Billy J and Lowe, Rachel and Prem, Kiesha and Flasche, Stefan and Pearson, Carl A B and Houben, Rein M G J and Nightingale, Emily S and Endo, Akira and Tully, Damien C and Liu, Yang and Villabona-Arenas, Julian and O'Reilly, Kathleen and Funk, Sebastian and Eggo, Rosalind M and Jit, Mark and Rees, Eleanor M and Hellewell, Joel and Clifford, Samuel and Jarvis, Christopher I and Abbott, Sam and Auzenbergs, Megan and Davies, Nicholas G and Simons, David},
  options = {useprefix=true},
  date = {2020-10},
  journaltitle = {The Lancet Infectious Diseases},
  volume = {20},
  number = {10},
  pages = {1151--1160},
  issn = {14733099},
  doi = {10.1016/S1473-3099(20)30457-6},
  abstract = {Background The isolation of symptomatic cases and tracing of contacts has been used as an early COVID-19 containment measure in many countries, with additional physical distancing measures also introduced as outbreaks have grown. To maintain control of infection while also reducing disruption to populations, there is a need to understand what combination of measures—including novel digital tracing approaches and less intensive physical distancing—might be required to reduce transmission. We aimed to estimate the reduction in transmission under different control measures across settings and how many contacts would be quarantined per day in different strategies for a given level of symptomatic case incidence.},
  langid = {english},
  file = {/home/src/Papers/kucharski et al_2020_effectiveness of isolation, testing, contact tracing, and physical distancing.pdf}
}

@article{ladhani2020increased,
  title = {Increased Risk of {{SARS-CoV-2}} Infection in Staff Working across Different Care Homes: Enhanced {{CoVID-19}} Outbreak Investigations in {{London}} Care {{Homes}}},
  author = {Ladhani, Shamez N and Chow, J Yimmy and Janarthanan, Roshni and Fok, Jonathan and Crawley-Boevey, Emma and Vusirikala, Amoolya and Fernandez, Elena and Perez, Marina Sanchez and Tang, Suzanne and Dun-Campbell, Kate and others},
  date = {2020},
  journaltitle = {J. Infect.},
  volume = {81},
  number = {4},
  pages = {621--624},
  publisher = {{Elsevier}}
}

@article{lahav2007action,
  title = {Action Representation of Sound: Audiomotor Recognition Network While Listening to Newly Acquired Actions},
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  volume = {27},
  number = {2},
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  publisher = {{Soc Neuroscience}}
}

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@article{landes2019heterogeneity,
  title = {Heterogeneity in Age at Death for Adults with Developmental Disability},
  author = {Landes, SD and Stevens, JD and Turk, MA},
  date = {2019},
  journaltitle = {J. Intellect. Disabil. Res.},
  volume = {63},
  number = {12},
  pages = {1482--1487},
  publisher = {{Wiley Online Library}}
}

@article{landes2019obscuring,
  title = {Obscuring Effect of Coding Developmental Disability as the Underlying Cause of Death on Mortality Trends for Adults with Developmental Disability: A Cross-Sectional Study Using {{US Mortality Data}} from 2012 to 2016},
  author = {Landes, Scott D and Stevens, James Dalton and Turk, Margaret A},
  date = {2019},
  journaltitle = {BMJ open},
  volume = {9},
  number = {2},
  pages = {e026614},
  publisher = {{British Medical Journal Publishing Group}}
}

@article{landesCOVID19OutcomesPeople2020,
  title = {{{COVID-19}} Outcomes among People with Intellectual and Developmental Disability Living in Residential Group Homes in {{New York State}}},
  author = {Landes, Scott D. and Turk, Margaret A. and Formica, Margaret K. and McDonald, Katherine E. and Stevens, J. Dalton},
  date = {2020-06},
  journaltitle = {Disability and Health Journal},
  pages = {100969},
  issn = {19366574},
  doi = {10.1016/j.dhjo.2020.100969},
  abstract = {Background: People with intellectual and developmental disabilities (IDD) may be at higher risk of severe outcomes from COVID-19. Objective: To describe COVID-19 outcomes among people with IDD living in residential groups homes in the state of New York and the general population of New York State. Methods: Data for people with IDD are from a coalition of organizations providing over half of the residential services for the state of New York, and from the New York State Department of Health. Analysis describes COVID-19 case rates, case-fatality, and mortality among people with IDD living in residential group homes and New York State through May 28, 2020. Results: People with IDD living in residential group homes were at greater risk of severe COVID-19 outcomes: case rates e 7,841 per 100,000 for people with IDD compared to 1,910 for New York State; case-fatality e 15.0\% for people with IDD compared to 7.9\% for New York State; and mortality rate e 1,175 per 100,000 for people with IDD compared to 151 per 100,000 for New York State. Differences in cases and mortality rate were confirmed across regions of the state, but case-fatality rate was only higher for people with IDD in and around the New York City region. Conclusions: COVID-19 appears to present a greater risk to people with IDD, especially those living in congregate settings. A full understanding of the severity of this risk will not be possible until US states begin publicly sharing all relevant data they have on COVID-19 outcomes among this population.},
  langid = {english},
  file = {/home/src/Papers/landes et al_2020_covid-19 outcomes among people with intellectual and developmental disability.pdf}
}

@article{landesCOVID19PneumoniaIncreased,
  title = {{{COVID-19}} and {{Pneumonia}}: {{Increased Risk}} for {{Individuals}} with {{Intellectual}} and {{Developmental Disabilities}} during the {{Pandemic}}},
  author = {Landes, Scott D and Stevens, Dalton and Turk, Margaret A},
  pages = {5},
  langid = {english},
  file = {/home/src/Papers/landes et al_covid-19 and pneumonia.pdf}
}

@misc{lantzCoOccurringConditionsIndividuals2020,
  title = {Co-{{Occurring Conditions}} in {{Individuals}} with {{Complex Forms}} of {{Autism Spectrum Disorder}}},
  author = {Lantz, Johanna and Hamlin, Theresa and Villavicencio, Tanya},
  date = {2020},
  publisher = {{The Center for Discovery}},
  file = {/home/src/Offline/Papers/lantz et al_2020_co-occurring conditions in individuals with complex forms of autism spectrum.pdf}
}

@article{larson2001prevalence,
  title = {Prevalence of Mental Retardation and Developmental Disabilities: Estimates from the 1994/1995 {{National Health Interview Survey Disability Supplements}}},
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}

@article{lay2016linear,
  title = {Linear {{Algebra}} and Its Applications 5th Edition},
  author = {Lay, David C},
  date = {2016},
  publisher = {{Pearson}}
}

@article{le2005use,
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}

@online{LearnFastForget,
  title = {Learn Fast and Forget about Forgetting | {{SuperMemo}}.Com},
  url = {https://www.supermemo.com/en},
  urldate = {2020-06-07},
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}

@online{LearnLanguageFree,
  title = {Learn a Language for Free},
  url = {https://www.duolingo.com/},
  urldate = {2020-06-07},
  abstract = {With our free mobile app or web and a few minutes a day, everyone can Duolingo. Learn 30+ languages online with bite-size lessons based on science.},
  langid = {english},
  organization = {{Duolingo}},
  file = {/home/cedarprince/Zotero/storage/Z9QV6M9L/www.duolingo.com.html}
}

@article{leclerc2020settings,
  title = {What Settings Have Been Linked to {{SARS-CoV-2}} Transmission Clusters?},
  author = {Leclerc, Quentin J and Fuller, Naomi M and Knight, Lisa E and Funk, Sebastian and Knight, Gwenan M and Group, CMMID COVID-19 Working and others},
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  journaltitle = {Wellcome Open Res.},
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  pages = {83},
  publisher = {{F1000 Research Limited}}
}

@online{lenzJuliaConnectoRFunctionallyOriented2021,
  title = {The {{JuliaConnectoR}}: A Functionally Oriented Interface for Integrating {{Julia}} in {{R}}},
  shorttitle = {The {{JuliaConnectoR}}},
  author = {Lenz, Stefan and Hackenberg, Maren and Binder, Harald},
  date = {2021-03-29},
  shortjournal = {ArXiv200506334 Cs Stat},
  eprint = {2005.06334},
  eprinttype = {arxiv},
  primaryclass = {cs, stat},
  url = {http://arxiv.org/abs/2005.06334},
  urldate = {2021-08-13},
  abstract = {Like many groups considering the new programming language Julia, we faced the challenge of accessing the algorithms that we develop in Julia from R. Therefore, we developed the R package JuliaConnectoR, available from the CRAN repository and GitHub (https://github.com/stefan-m-lenz/JuliaConnectoR), in particular for making advanced deep learning tools available. For maintainability and stability, we decided to base communication between R and Julia on TCP, using an optimized binary format for exchanging data. Our package also specifically contains features that allow for a convenient interactive use in R. This makes it easy to develop R extensions with Julia or to simply call functionality from Julia packages in R. Interacting with Julia objects and calling Julia functions becomes user-friendly, as Julia functions and variables are made directly available as objects in the R workspace. We illustrate the further features of our package with code examples, and also discuss advantages over the two alternative packages JuliaCall and XRJulia. Finally, we demonstrate the usage of the package with a more extensive example for employing neural ordinary differential equations, a recent deep learning technique that has received much attention. This example also provides more general guidance for integrating deep learning techniques from Julia into R.},
  archiveprefix = {arXiv},
  keywords = {Computer Science - Machine Learning,Computer Science - Mathematical Software,Computer Science - Programming Languages,Statistics - Computation,Statistics - Machine Learning},
  file = {/home/cedarprince/Zotero/storage/59UB5Q87/Lenz et al_2021_The JuliaConnectoR.pdf;/home/cedarprince/Zotero/storage/XE2WX66A/2005.html}
}

@book{lewis1991four,
  title = {The Four Loves},
  author = {Lewis, Clive Staples},
  date = {1991},
  publisher = {{Houghton Mifflin Harcourt}}
}

@article{liDigitalHealthTracking2017,
  title = {Digital {{Health}}: {{Tracking Physiomes}} and {{Activity Using Wearable Biosensors Reveals Useful Health-Related Information}}},
  shorttitle = {Digital {{Health}}},
  author = {Li, Xiao and Dunn, Jessilyn and Salins, Denis and Zhou, Gao and Zhou, Wenyu and Schüssler-Fiorenza Rose, Sophia Miryam and Perelman, Dalia and Colbert, Elizabeth and Runge, Ryan and Rego, Shannon and Sonecha, Ria and Datta, Somalee and McLaughlin, Tracey and Snyder, Michael P.},
  editor = {Kirkwood, Thomas},
  date = {2017-01-12},
  journaltitle = {PLoS Biol},
  volume = {15},
  number = {1},
  pages = {e2001402},
  issn = {1545-7885},
  doi = {10.1371/journal.pbio.2001402},
  abstract = {A new wave of portable biosensors allows frequent measurement of health-related physiology. We investigated the use of these devices to monitor human physiological changes during various activities and their role in managing health and diagnosing and analyzing disease. By recording over 250,000 daily measurements for up to 43 individuals, we found personalized circadian differences in physiological parameters, replicating previous physiological findings. Interestingly, we found striking changes in particular environments, such as airline flights (decreased peripheral capillary oxygen saturation [SpO2] and increased radiation exposure). These events are associated with physiological macro-phenotypes such as fatigue, providing a strong association between reduced pressure/oxygen and fatigue on high-altitude flights. Importantly, we combined biosensor information with frequent medical measurements and made two important observations: First, wearable devices were useful in identification of early signs of Lyme disease and inflammatory responses; we used this information to develop a personalized, activity-based normalization framework to identify abnormal physiological signals from longitudinal data for facile disease detection. Second, wearables distinguish physiological differences between insulin-sensitive and -resistant individuals. Overall, these results indicate that portable biosensors provide useful information for monitoring personal activities and physiology and are likely to play an important role in managing health and enabling affordable health care access to groups traditionally limited by socioeconomic class or remote geography.},
  langid = {english},
  file = {/Users/jzelko3/Knowledgebase/Papers/Li et al_2017_Digital Health.pdf}
}

@article{linton1975memory,
  title = {Memory for Real-World Events},
  author = {Linton, Marigold},
  date = {1975},
  journaltitle = {Explor. Cogn.},
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}

@online{lipsitchOpinionWhyIt,
  title = {Opinion | {{Why}} It’s so Hard to Pin down the Risk of Dying from Coronavirus},
  author = {Lipsitch, Marc},
  url = {https://www.washingtonpost.com/opinions/2020/03/06/why-its-so-hard-pin-down-risk-dying-coronavirus/},
  urldate = {2020-03-10},
  abstract = {Scientists are doing their best to make sense of imperfect data.},
  langid = {english},
  organization = {{Washington Post}},
  file = {/home/cedarprince/Zotero/storage/GREJYBPV/www.washingtonpost.com.html}
}

@article{lochlainn2020key,
  title = {Key Predictors of Attending Hospital with {{COVID19}}: {{An}} Association Study from the {{COVID Symptom Tracker App}} in 2,618,948 Individuals},
  author = {Lochlainn, Mary Ni and Lee, Karla A and Sudre, Carole H and Varsavsky, Thomas and Cardoso, M Jorge and Menni, Cristina and Bowyer, Ruth CE and Nguyen, Long H and Drew, David Alden and Ganesh, Sajaysurya and others},
  date = {2020},
  journaltitle = {medRxiv},
  publisher = {{Cold Spring Harbor Laboratory Press}}
}

@article{ludvigsson2013use,
  title = {Use of Computerized Algorithm to Identify Individuals in Need of Testing for Celiac Disease},
  author = {Ludvigsson, Jonas F and Pathak, Jyotishman and Murphy, Sean and Durski, Matthew and Kirsch, Phillip S and Chute, Christophe G and Ryu, Euijung and Murray, Joseph A},
  date = {2013},
  journaltitle = {J. Am. Med. Inform. Assoc.},
  volume = {20},
  number = {e2},
  pages = {e306--e310},
  publisher = {{BMJ Publishing Group BMA House, Tavistock Square, London, WC1H 9JR}}
}

@article{luhmannCommunicatingSlipBoxes,
  title = {Communicating with {{Slip Boxes}}},
  author = {Luhmann, Niklas},
  pages = {6},
  langid = {english},
  file = {/home/src/Offline/Papers/luhmann_communicating with slip boxes.pdf}
}

@article{luhmannLearningHowRead,
  title = {Learning {{How}} to {{Read}}},
  author = {Luhmann, Niklas},
  pages = {3},
  langid = {english},
  file = {/home/src/Offline/Papers/luhmann_learning how to read.pdf}
}

@book{mac2013categories,
  title = {Categories for the Working Mathematician},
  author = {Mac Lane, Saunders},
  date = {2013},
  volume = {5},
  publisher = {{Springer Science \& Business Media}}
}

@article{maclean2009interactions,
  title = {Interactions between Endogenous and Exogenous Attention during Vigilance},
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}

@online{magnuskiHowPlotTopomaps,
  title = {How to Plot Topomaps the Way {{EEGLAB}} Does — {{MNE}} 0.21.2 Documentation},
  author = {Magnuski, Mikołaj},
  url = {https://mne.tools/stable/auto_examples/visualization/plot_eeglab_head_sphere.html?highlight=topoplot},
  urldate = {2020-12-07},
  file = {/home/cedarprince/Zotero/storage/P4C74ZTK/plot_eeglab_head_sphere.html}
}

@online{magnuskiHowPlotTopomaps2020,
  title = {How to Plot Topomaps the Way {{EEGLAB}} Does},
  author = {Magnuski, Mikołaj},
  date = {2020-03-27},
  url = {https://mne.tools/stable/auto_examples/visualization/plot_eeglab_head_sphere.html#sphx-glr-auto-examples-visualization-plot-eeglab-head-sphere-py},
  urldate = {2020-11-04},
  file = {/home/cedarprince/Zotero/storage/ACJ8XL6V/plot_eeglab_head_sphere.html}
}

@article{majeed2009spatiotemporal,
  title = {Spatiotemporal Dynamics of Low Frequency Fluctuations in {{BOLD fMRI}} of the Rat},
  author = {Majeed, Waqas and Magnuson, Matthew and Keilholz, Shella D},
  date = {2009},
  journaltitle = {J. Magn. Reson. Imaging Off. J. Int. Soc. Magn. Reson. Med.},
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}

@article{makadyWhatRealWorldData2017,
  title = {What {{Is Real-World Data}}? {{A Review}} of {{Definitions Based}} on {{Literature}} and {{Stakeholder Interviews}}},
  shorttitle = {What {{Is Real-World Data}}?},
  author = {Makady, Amr and de Boer, Anthonius and Hillege, Hans and Klungel, Olaf and Goettsch, Wim},
  options = {useprefix=true},
  date = {2017-07},
  journaltitle = {Value in Health},
  volume = {20},
  number = {7},
  pages = {858--865},
  issn = {10983015},
  doi = {10.1016/j.jval.2017.03.008},
  abstract = {Background: Despite increasing recognition of the value of real-world data (RWD), consensus on the definition of RWD is lacking. Objectives: To review definitions publicly available for RWD to shed light on similarities and differences between them. Methods: A literature review and stakeholder interviews were used to compile data from eight groups of stakeholders. Data from documents and interviews were subjected to coding analysis. Definitions identified were classified into four categories: 1) data collected in a non-randomized controlled trial setting, 2) data collected in a non-interventional/ non-controlled setting, 3) data collected in a non-experimental setting, and 4) others (i.e., data that do not fit into the other three categories). The frequency of definitions identified per category was recorded. Results: Fifty-three documents and 20 interviews were assessed. Thirty-eight definitions were identified: 20 out of 38 definitions (53\%) were category 1 definitions, 9 (24\%) were category 2 definitions, 5 (13\%) were category 3 definitions, and 4 (11\%) were category 4 definitions. Differences were identified between, and within, definition categories.},
  langid = {english},
  file = {/Users/jzelko3/Knowledgebase/Papers/Makady et al_2017_What Is Real-World Data.pdf}
}

@article{makeig1999functionally,
  title = {Functionally Independent Components of the Late Positive Event-Related Potential during Visual Spatial Attention},
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@article{mammarella2002spacing,
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  volume = {30},
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}

@article{manly1999absent,
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  date = {1999},
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@article{mann2018left,
  title = {Left to Other Peoples’ Devices? {{A}} Political Economy Perspective on the Big Data Revolution in Development},
  author = {Mann, Laura},
  date = {2018},
  journaltitle = {Dev. Change},
  volume = {49},
  number = {1},
  pages = {3--36},
  publisher = {{Wiley Online Library}}
}

@article{marchaisDataGoldWe2020,
  title = {‘{{The}} Data Is Gold, and We Are the Gold-Diggers’: Whiteness, Race and Contemporary Academic Research in Eastern {{DRC}}},
  shorttitle = {‘{{The}} Data Is Gold, and We Are the Gold-Diggers’},
  author = {Marchais, Gauthier and Bazuzi, Paulin and Amani Lameke, Aimable},
  date = {2020-09-01},
  journaltitle = {Critical African Studies},
  volume = {12},
  number = {3},
  pages = {372--394},
  issn = {2168-1392, 2040-7211},
  doi = {10.1080/21681392.2020.1724806},
  langid = {english},
  file = {/home/src/Papers/marchais et al_2020_‘the data is gold, and we are the gold-diggers’.pdf}
}

@article{marcod.hueschUsingItLosing,
  title = {Using {{It}} or {{Losing It}}? {{The Case}} for {{Data Scientists Inside Health Care}}},
  author = {{Marco D. Huesch} and {Timothy J. Mosher}},
  url = {https://catalyst.nejm.org/doi/full/10.1056/CAT.17.0493},
  urldate = {2021-06-18}
}

@article{marmot2004status,
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}

@book{marmotSocialDeterminantsHealth2006,
  title = {Social {{Determinants}} of {{Health}}},
  author = {Marmot, Michael and Wilkinson, Richard},
  date = {2006},
  edition = {2},
  publisher = {{Oxford University Press}},
  file = {/home/src/Papers/marmot_wilkinson_2006_social determinants of health.pdf}
}

@online{masterhowtolearnDemonstrationMyWorkflow2018,
  title = {Demonstration: {{My Workflow}} of {{Incremental Reading}}},
  shorttitle = {Demonstration},
  author = {{Master How To Learn}},
  date = {2018-12-09},
  url = {https://www.masterhowtolearn.com/2018-12-09-demonstration-my-workflow-of-incremental-reading/},
  urldate = {2020-05-19},
  abstract = {In my previous The Significance of Incremental Reading in SuperMemo: Part I and Part II, I tried my best to explain Incremental Reading. In this article, I will…},
  langid = {english},
  file = {/home/cedarprince/Zotero/storage/JZQCTRWN/2018-12-09-demonstration-my-workflow-of-incremental-reading.html}
}

@article{mccabe2008seeing,
  title = {Seeing Is Believing: {{The}} Effect of Brain Images on Judgments of Scientific Reasoning},
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  date = {2008},
  journaltitle = {Cognition},
  volume = {107},
  number = {1},
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}

@article{mcdaniel2011test,
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@article{mcewenStressedStressedOut2005,
  title = {Stressed or Stressed out: {{What}} Is the Difference?},
  shorttitle = {Stressed or Stressed Out},
  author = {McEwen, Bruce S.},
  date = {2005-09},
  journaltitle = {J Psychiatry Neurosci},
  volume = {30},
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  eprinttype = {pmid},
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  issn = {1180-4882},
  url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1197275/},
  urldate = {2020-05-04},
  abstract = {The term “allostasis” has been coined to clarify ambiguities associated with the word “stress.” Allostasis refers to the adaptive processes that maintain homeostasis through the production of mediators such as adrenalin, cortisol and other chemical messengers. These mediators of the stress response promote adaptation in the aftermath of acute stress, but they also contribute to allostatic overload, the wear and tear on the body and brain that result from being “stressed out.” This conceptual framework has created a need to know how to improve the efficiency of the adaptive response to stressors while minimizing overactivity of the same systems, since such overactivity results in many of the common diseases of modern life. This framework has also helped to demystify the biology of stress by emphasizing the protective as well as the damaging effects of the body's attempts to cope with the challenges known as stressors.},
  pmcid = {PMC1197275},
  file = {/home/src/Offline/Papers/mcewen_2005_stressed or stressed out.pdf}
}

@article{mcgeoch1942psychology,
  title = {The Psychology of Human Learning.},
  author = {McGeoch, John Alexander},
  date = {1942},
  publisher = {{Longmans, Green}}
}

@misc{mcluhanUnderstandingMediaExtensions1994,
  title = {Understanding {{Media The Extensions}} of {{Man}}},
  author = {McLuhan, Marshall},
  date = {1994-10},
  publisher = {{London and New York}},
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}

@article{mcmanus2019prevalence,
  title = {Prevalence of Non-Suicidal Self-Harm and Service Contact in {{England}}, 2000–14: Repeated Cross-Sectional Surveys of the General Population},
  author = {McManus, Sally and Gunnell, David and Cooper, Claudia and Bebbington, Paul E and Howard, Louise M and Brugha, Traolach and Jenkins, Rachel and Hassiotis, Angela and Weich, Scott and Appleby, Louis},
  date = {2019},
  journaltitle = {Lancet Psychiatry},
  volume = {6},
  number = {7},
  pages = {573--581},
  publisher = {{Elsevier}}
}

@online{MedicareClaimsSynthetic,
  title = {Medicare {{Claims Synthetic Public Use Files}} ({{SynPUFs}}) | {{CMS}}},
  url = {https://www.cms.gov/Research-Statistics-Data-and-Systems/Downloadable-Public-Use-Files/SynPUFs},
  urldate = {2021-08-13}
}

@article{meltzer2017role,
  title = {The Role of the Immune System in Autism Spectrum Disorder},
  author = {Meltzer, Amory and Van de Water, Judy},
  date = {2017},
  journaltitle = {Neuropsychopharmacology},
  volume = {42},
  number = {1},
  pages = {284--298},
  publisher = {{Nature Publishing Group}}
}

@book{merton2011travels,
  title = {The Travels and Adventures of Serendipity: {{A}} Study in Sociological Semantics and the Sociology of Science},
  author = {Merton, Robert K and Barber, Elinor},
  date = {2011},
  publisher = {{Princeton University Press}}
}

@article{meuret2011unexpected,
  title = {Do Unexpected Panic Attacks Occur Spontaneously?},
  author = {Meuret, Alicia E and Rosenfield, David and Wilhelm, Frank H and Zhou, Enlu and Conrad, Ansgar and Ritz, Thomas and Roth, Walton T},
  date = {2011},
  journaltitle = {Biol. Psychiatry},
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  number = {10},
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  publisher = {{Elsevier}}
}

@article{meyer2015household,
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@article{middleton2014dynamic,
  title = {Dynamic Duos: {{On}} Partnership and the Possibilities of Postcolonial Ethnography},
  author = {Middleton, Townsend and Pradhan, Eklavya},
  date = {2014},
  journaltitle = {Ethnography},
  volume = {15},
  number = {3},
  pages = {355--374},
  publisher = {{Sage Publications Sage UK: London, England}}
}

@book{milewskiCategoryTheoryProgrammers2019,
  title = {Category {{Theory}} for {{Programmers}}},
  author = {Milewski, Bartosz},
  date = {2019-08-12},
  edition = {Version v1.3.0-0-g6bb0bc0},
  langid = {english},
  file = {/Users/jzelko3/Knowledgebase/Papers/Milewski_Category Theory for Programmers.pdf}
}

@article{miller2001integrative,
  title = {An Integrative Theory of Prefrontal Cortex Function},
  author = {Miller, Earl K and Cohen, Jonathan D},
  date = {2001},
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  volume = {24},
  number = {1},
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  publisher = {{Annual Reviews 4139 El Camino Way, PO Box 10139, Palo Alto, CA 94303-0139, USA}}
}

@book{millerDeathSalesman1998,
  title = {Death of a {{Salesman}}},
  author = {Miller, Arthur},
  date = {1998},
  publisher = {{Penguin Books}},
  langid = {english},
  file = {/home/src/Papers/miller_death of a salesman.pdf}
}

@article{mills2007white,
  title = {White Ignorance},
  author = {Mills, Charles},
  date = {2007},
  journaltitle = {Race Epistemol. Ignorance},
  volume = {247},
  pages = {26--31},
  publisher = {{State University of New York Press Albany}}
}

@article{millsSupportingIndividualsIntellectual2020,
  title = {Supporting Individuals with Intellectual and Developmental Disability during the First 100 Days of the {{COVID}}‐19 Outbreak in the {{USA}}},
  author = {Mills, W. R. and Sender, S. and Lichtefeld, J. and Romano, N. and Reynolds, K. and Price, M. and Phipps, J. and White, L. and Howard, S. and Poltavski, D. and Barnes, R.},
  date = {2020-07},
  journaltitle = {Journal of Intellectual Disability Research},
  volume = {64},
  number = {7},
  pages = {489--496},
  issn = {0964-2633, 1365-2788},
  doi = {10.1111/jir.12740},
  langid = {english},
  file = {/home/src/Papers/mills et al_2020_supporting individuals with intellectual and developmental disability during.pdf}
}

@article{miranda2008mental,
  title = {Mental Health in the Context of Health Disparities},
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  journaltitle = {Am. J. Psychiatry},
  volume = {165},
  number = {9},
  pages = {1102--1108},
  publisher = {{Am Psychiatric Assoc}}
}

@article{mitchison1999can,
  title = {Can {{Hebbian}} Volume Learning Explain Discontinuities in Cortical Maps?},
  author = {Mitchison, Graeme J and Swindale, Nicholas V},
  date = {1999},
  journaltitle = {Neural Comput.},
  volume = {11},
  number = {7},
  pages = {1519--1526},
  publisher = {{MIT Press}}
}

@article{moher2009preferred,
  title = {Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The {{PRISMA}} Statement},
  author = {Moher, David and Liberati, Alessandro and Tetzlaff, Jennifer and Altman, Douglas G and Group, Prisma and others},
  date = {2009},
  journaltitle = {PLoS med},
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}

@article{mohl2014non,
  title = {Non-Suicidal Self-Injury and Indirect Self-Harm among {{Danish}} High School Students},
  author = {Møhl, Bo and La Cour, Peter and Skandsen, Annika},
  date = {2014},
  journaltitle = {Scand. J. Child Adolesc. Psychiatry Psychol.},
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}

@online{moodyWFDBProgrammerGuide2019,
  title = {{{WFDB Programmer}}’s {{Guide}}},
  author = {Moody, George},
  date = {2019-03-08},
  url = {https://www.physionet.org/physiotools/wpg/wpg.pdf},
  urldate = {2020-03-17},
  file = {/home/src/Offline/Papers/moody_2019_wfdb programmer’s guide.pdf}
}

@article{morelandTimingStateTerritorial2020,
  title = {Timing of {{State}} and {{Territorial COVID-19 Stay-at-Home Orders}} and {{Changes}} in {{Population Movement}} — {{United States}}, {{March}} 1–{{May}} 31, 2020},
  author = {Moreland, Amanda and Herlihy, Christine and Tynan, Michael A. and Sunshine, Gregory and McCord, Russell F. and Hilton, Charity and Poovey, Jason and Werner, Angela K. and Jones, Christopher D. and Fulmer, Erika B. and Gundlapalli, Adi V. and Strosnider, Heather and Potvien, Aaron and García, Macarena C. and Honeycutt, Sally and Baldwin, Grant and {CDC Public Health Law Program} and {CDC COVID-19 Response Team, Mitigation Policy Analysis Unit} and {CDC Public Health Law Program} and Clodfelter, Catherine and Howard-Williams, Mara and Jeong, Gi and Landsman, Lisa and Shelburne, Julia and {CDC COVID-19 Response Team, Mitigation Policy Analysis Unit} and Brown, Amanda and Cramer, Ryan and Gilchrist, Siobhan and Hulkower, Rachel and Limeres, Alexa and Popoola, Adebola},
  date = {2020-09-04},
  journaltitle = {MMWR Morb. Mortal. Wkly. Rep.},
  volume = {69},
  number = {35},
  pages = {1198--1203},
  issn = {0149-2195, 1545-861X},
  doi = {10.15585/mmwr.mm6935a2},
  abstract = {What is already known about this topic? Stay-at-home orders are a community mitigation strategy used to reduce the spread of COVID-19 in the United States. What is added by this report? States and territories that issued mandatory stay-at-home orders experienced decreased population movement in most counties. The period after the first state relaxed a stay-at-home order was associated with increased population movement in states or territories that had not relaxed a stay-at-home order in the same period. What are the implications for public health practice? Stay-at-home orders can reduce activities associated with community spread of COVID-19, including population movement and close person-to-person contact outside the household. These findings can inform future public policies to reduce community spread of COVID-19.},
  langid = {english},
  file = {/home/src/Papers/moreland et al_2020_timing of state and territorial covid-19 stay-at-home orders and changes in.pdf}
}

@article{mucci2006validity,
  title = {Validity of Self-Reported Health Plan Information in a Population-Based Health Survey},
  author = {Mucci, Lorelei A and Wood, Phil A and Cohen, Bruce and Clements, Karen M and Brawarsky, Phyllis and Brooks, Daniel R},
  date = {2006},
  journaltitle = {J. Public Health Manag. Pract.},
  volume = {12},
  number = {6},
  pages = {570--577},
  publisher = {{LWW}}
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@article{mugecevikSARSCoV2TransmissionDynamics2020,
  title = {{{SARS-CoV-2}} Transmission Dynamics Should Inform Policy},
  author = {{Muge Cevik} and {Julia L. Marcus} and {Caroline Buckee} and {Tara C Smith}},
  date = {2020},
  journaltitle = {SSRN Electron. J.},
  file = {/home/src/Papers/muge cevik et al_2020_sars-cov-2 transmission dynamics should inform policy.pdf}
}

@book{munznerVisualizationAnalysisDesign2014,
  title = {Visualization {{Analysis}} and {{Design}}},
  author = {Munzner, Tamara},
  date = {2014-12-01},
  edition = {0},
  publisher = {{A K Peters/CRC Press}},
  doi = {10.1201/b17511},
  isbn = {978-0-429-08890-2},
  langid = {english},
  file = {/home/src/Offline/Papers/munzner_2014_visualization analysis and design.pdf}
}

@article{murre2007modeling,
  title = {Modeling Amnesia: Connectionist and Mathematical Approaches},
  author = {Murre, Jaap MJ and Meeter, Martijn and Chessa, Antonio G},
  date = {2007},
  journaltitle = {Stat. Process Models Neurosci. Aging},
  pages = {119--162},
  publisher = {{Lawrence Erlbaum Mahwah, NJ}}
}

@article{murre2013mathematical,
  title = {A Mathematical Model of Forgetting and Amnesia},
  author = {Murre, Jaap MJ and Chessa, Antonio G and Meeter, Martijn},
  date = {2013},
  journaltitle = {Front. Psychol.},
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  publisher = {{Frontiers}}
}

@article{murreReplicationAnalysisEbbinghaus2015,
  title = {Replication and {{Analysis}} of {{Ebbinghaus}}’ {{Forgetting Curve}}},
  author = {Murre, Jaap M. J. and Dros, Joeri},
  editor = {Chialvo, Dante R.},
  date = {2015-07-06},
  journaltitle = {PLoS ONE},
  volume = {10},
  number = {7},
  pages = {e0120644},
  issn = {1932-6203},
  doi = {10.1371/journal.pone.0120644},
  langid = {english},
  file = {/home/src/Papers/murre_dros_2015_replication and analysis of ebbinghaus’ forgetting curve.pdf}
}

@article{nandeEffectEvictionMoratoria2021,
  title = {The Effect of Eviction Moratoria on the Transmission of {{SARS-CoV-2}}},
  author = {Nande, Anjalika and Sheen, Justin and Walters, Emma L. and Klein, Brennan and Chinazzi, Matteo and Gheorghe, Andrei H. and Adlam, Ben and Shinnick, Julianna and Tejeda, Maria Florencia and Scarpino, Samuel V. and Vespignani, Alessandro and Greenlee, Andrew J. and Schneider, Daniel and Levy, Michael Z. and Hill, Alison L.},
  date = {2021-12},
  journaltitle = {Nat Commun},
  volume = {12},
  number = {1},
  pages = {2274},
  issn = {2041-1723},
  doi = {10.1038/s41467-021-22521-5},
  abstract = {Abstract             Massive unemployment during the COVID-19 pandemic could result in an eviction crisis in US cities. Here we model the effect of evictions on SARS-CoV-2 epidemics, simulating viral transmission within and among households in a theoretical metropolitan area. We recreate a range of urban epidemic trajectories and project the course of the epidemic under two counterfactual scenarios, one in which a strict moratorium on evictions is in place and enforced, and another in which evictions are allowed to resume at baseline or increased rates. We find, across scenarios, that evictions lead to significant increases in infections. Applying our model to Philadelphia using locally-specific parameters shows that the increase is especially profound in models that consider realistically heterogenous cities in which both evictions and contacts occur more frequently in poorer neighborhoods. Our results provide a basis to assess eviction moratoria and show that policies to stem evictions are a warranted and important component of COVID-19 control.},
  langid = {english},
  file = {/home/cedarprince/Zotero/storage/RSUP93CA/Nande et al_2021_The effect of eviction moratoria on the transmission of SARS-CoV-2.pdf}
}

@online{NassimTalebWould,
  title = {Nassim {{Taleb}} Would Love the {{Zettelkasten Method}}},
  url = {https://zettelkasten.de/posts/zettelkasten-antifragile/},
  urldate = {2020-03-17},
  file = {/home/cedarprince/Zotero/storage/FJR9B9RD/zettelkasten-antifragile.html}
}

@book{national2010prevention,
  title = {The Prevention and Treatment of Missing Data in Clinical Trials},
  author = {Council, National Research and others},
  date = {2010},
  publisher = {{National Academies Press}}
}

@article{navon1984resources,
  title = {Resources—{{A}} Theoretical Soup Stone?},
  author = {Navon, David},
  date = {1984},
  journaltitle = {Psychol. Rev.},
  volume = {91},
  number = {2},
  pages = {216},
  publisher = {{American Psychological Association}}
}

@article{nestsiarovichUsingMachineLearning2021,
  title = {Using {{Machine Learning Imputed Outcomes}} to {{Assess Drug-Dependent Risk}} of {{Self-Harm}} in {{Patients}} with {{Bipolar Disorder}}: {{A Comparative Effectiveness Study}}},
  shorttitle = {Using {{Machine Learning Imputed Outcomes}} to {{Assess Drug-Dependent Risk}} of {{Self-Harm}} in {{Patients}} with {{Bipolar Disorder}}},
  author = {Nestsiarovich, Anastasiya and Kumar, Praveen and Lauve, Nicolas Raymond and Hurwitz, Nathaniel G and Mazurie, Aurélien J and Cannon, Daniel C and Zhu, Yiliang and Nelson, Stuart James and Crisanti, Annette S and Kerner, Berit and Tohen, Mauricio and Perkins, Douglas J and Lambert, Christophe Gerard},
  date = {2021-04-21},
  journaltitle = {JMIR Ment Health},
  volume = {8},
  number = {4},
  pages = {e24522},
  issn = {2368-7959},
  doi = {10.2196/24522},
  abstract = {Background: Incomplete suicidality coding in administrative claims data is a known obstacle for observational studies. With most of the negative outcomes missing from the data, it is challenging to assess the evidence on treatment strategies for the prevention of self-harm in bipolar disorder (BD), including pharmacotherapy and psychotherapy. There are conflicting data from studies on the drug-dependent risk of self-harm, and there is major uncertainty regarding the preventive effect of monotherapy and drug combinations.},
  langid = {english},
  file = {/Users/jzelko3/Knowledgebase/Papers/Nestsiarovich et al_2021_Using Machine Learning Imputed Outcomes to Assess Drug-Dependent Risk of.pdf}
}

@report{newyorkstatedepartmentofhealthFactorsAssociatedNursing2020,
  title = {Factors {{Associated}} with {{Nursing Home Infections}} and {{Fatalities}} in {{New York State During}} the {{COVID-19 Global Health Crisis}}},
  author = {{New York State Department of Health}},
  date = {2020-07-20},
  institution = {{New York State Department of Health}}
}

@online{NIHCommonData,
  title = {{{NIH Common Data Elements}} ({{CDE}}) {{Repository}}},
  url = {https://cde.nlm.nih.gov/home},
  urldate = {2020-12-30}
}

@article{nock2010self,
  title = {Self-Injury},
  author = {Nock, Matthew K},
  date = {2010},
  journaltitle = {Annu. Rev. Clin. Psychol.},
  volume = {6},
  pages = {339--363},
  publisher = {{Annual Reviews}}
}

@article{nock2010self,
  title = {Self-Injury},
  author = {Nock, Matthew K},
  date = {2010},
  journaltitle = {Annu. Rev. Clin. Psychol.},
  volume = {6},
  pages = {339--363},
  publisher = {{Annual Reviews}}
}

@article{o2004reduced,
  title = {Reduced Electrodermal Response to Errors Predicts Poor Sustained Attention Performance in Attention Deficit Hyperactivity Disorder},
  author = {O'Connell, Redmond G and Bellgrove, Mark A and Dockree, Paul M and Robertson, Ian H},
  date = {2004},
  journaltitle = {Neuroreport},
  volume = {15},
  number = {16},
  pages = {2535--2538},
  publisher = {{LWW}}
}

@book{o2016weapons,
  title = {Weapons of Math Destruction: {{How}} Big Data Increases Inequality and Threatens Democracy},
  author = {O'neil, Cathy},
  date = {2016},
  publisher = {{Broadway Books}}
}

@book{observationalhealthdatasciencesandinformaticscollaborativeBookOHDSI2021,
  title = {The {{Book}} of {{OHDSI}}},
  author = {{Observational Health Data Sciences and Informatics Collaborative}},
  date = {2021},
  publisher = {{OHDSI}},
  url = {https://ohdsi.github.io/TheBookOfOhdsi/},
  file = {/home/src/Papers/observational health data sciences and informatics collaborative_2021_the book of ohdsi.pdf}
}

@incollection{observationalhealthdatasciencesandinformaticscollaborativeChapter19Study2021,
  title = {Chapter 19 {{Study Steps}}},
  booktitle = {The {{Book}} of {{OHDSI}}},
  author = {{Observational Health Data Sciences and Informatics Collaborative}},
  date = {2021},
  url = {https://ohdsi.github.io/TheBookOfOhdsi/StudySteps.html},
  urldate = {2021-05-20}
}

@incollection{observationalhealthdatasciencesandinformaticscollaborativeChapterCommonData2021,
  title = {Chapter 4 {{The Common Data Model}}},
  booktitle = {The {{Book}} of {{OHDSI}}},
  author = {{Observational Health Data Sciences and Informatics Collaborative}},
  date = {2021},
  url = {https://ohdsi.github.io/TheBookOfOhdsi/CommonDataModel.html#fn20},
  urldate = {2021-05-20}
}

@online{officeforpeoplewithdevelopmentaldisabilitiesRevisedStaffingGuidance2020,
  title = {Revised {{Staffing Guidance}} for {{Management}} of {{COVID-19}}},
  author = {{Office for People with Developmental Disabilities}},
  date = {2020-06-12},
  url = {https://opwdd.ny.gov/system/files/documents/2020/06/6.12.2020-opwdd_covid19_staffguidance_updated-symptoms.pdf},
  urldate = {2020-07-14},
  file = {/home/cedarprince/Zotero/storage/CUFXUEF4/6.12.2020-opwdd_covid19_staffguidance_updated-symptoms.pdf}
}

@online{oklobdzijaDidDisplacementPlay2021,
  title = {Did {{Displacement Play}} a {{Role}} in {{California}}'s {{COVID-19 Surge}}?},
  author = {Oklobdzija, Stan},
  date = {2021-02-16T21:56:45+00:00},
  url = {https://cayimby.org/did-displacement-play-a-role-in-californias-covid-19-surge/},
  urldate = {2021-02-17},
  abstract = {For the past two months, Southern California was America’s COVID-19 epicenter. Throughout the month of January, someone in Los Angeles County died every six minutes~from …},
  langid = {english},
  organization = {{California YIMBY}},
  file = {/home/jzelko3@icl.gtri.org/Knowledgebase/Papers/oklobdzija_2021_did displacement play a role in california's covid-19 surge.pdf}
}

@misc{orgeraUrbanRuralDifferences,
  title = {Urban and Rural Differences in Coronavirus Pandemic Preparedness},
  author = {Orgera, Kendal and McDermott, Daniel and Rae, Matthew and Claxton, Gary and Koma, Wyatt and Cox, Cynthia},
  url = {https://www.healthsystemtracker.org/brief/urban-and-rural-differences-in-coronavirus-pandemic-preparedness/},
  urldate = {2020-04-28},
  abstract = {The coronavirus outbreak has hit densely populated urban areas of the United States first and hardest. Some health systems have experienced surges of patients, raising concerns that there are not enough hospital beds, staffing, and equipment. The novel coronavirus was slower to spread to rural areas in the U.S., but that appears to be changing, …},
  langid = {american},
  file = {/home/cedarprince/Zotero/storage/F7KGKWSU/urban-and-rural-differences-in-coronavirus-pandemic-preparedness.html}
}

@article{ormstad2018role,
  title = {Role of the Immune System in Autism Spectrum Disorders ({{ASD}})},
  author = {Ormstad, Heidi and Bryn, Vesna and Saugstad, Ola D and Skjeldal, Ola and Maes, Michael},
  date = {2018},
  journaltitle = {CNS Neurol. Disord.-Drug Targets Former. Curr. Drug Targets-CNS Neurol. Disord.},
  volume = {17},
  number = {7},
  pages = {489--495},
  publisher = {{Bentham Science Publishers}}
}

@article{orwellAnimalFarmFairy,
  title = {Animal {{Farm}}: {{A Fairy Story}}},
  author = {Orwell, George},
  pages = {131},
  langid = {english},
  file = {/home/src/Papers/orwell_animal farm.pdf}
}

@article{overhage2012validation,
  title = {Validation of a Common Data Model for Active Safety Surveillance Research},
  author = {Overhage, J Marc and Ryan, Patrick B and Reich, Christian G and Hartzema, Abraham G and Stang, Paul E},
  date = {2012},
  journaltitle = {J. Am. Med. Inform. Assoc.},
  volume = {19},
  number = {1},
  pages = {54--60},
  publisher = {{BMJ Group BMA House, Tavistock Square, London, WC1H 9JR}}
}

@article{owens2002fatal,
  title = {Fatal and Non-Fatal Repetition of Self-Harm: Systematic Review},
  author = {Owens, David and Horrocks, Judith and House, Allan},
  date = {2002},
  journaltitle = {Br. J. Psychiatry},
  volume = {181},
  number = {3},
  pages = {193--199},
  publisher = {{Cambridge University Press}}
}

@article{padovanProportionSciencePhilosophy2002,
  title = {Proportion: {{Science}}, {{Philosophy}}, {{Architecture}}},
  shorttitle = {Proportion},
  author = {Padovan, Richard},
  date = {2002},
  journaltitle = {Nexus Netw. J.},
  volume = {4},
  number = {1},
  pages = {113--122},
  doi = {10.1007/s00004-001-0008-7},
  file = {/home/src/Offline/Papers/padovan_2002_proportion.pdf;/home/cedarprince/Zotero/storage/ECAB9AQC/Golden_ratio.html}
}

@article{pareek2020ethnicity,
  title = {Ethnicity and {{COVID-19}}: An Urgent Public Health Research Priority},
  author = {Pareek, Manish and Bangash, Mansoor N and Pareek, Nilesh and Pan, Daniel and Sze, Shirley and Minhas, Jatinder S and Hanif, Wasim and Khunti, Kamlesh},
  date = {2020},
  journaltitle = {The Lancet},
  volume = {395},
  number = {10234},
  pages = {1421--1422},
  publisher = {{Elsevier}}
}

@article{park1999subband,
  title = {Subband-Based Blind Signal Separation for Noisy Speech Recognition},
  author = {Park, Hyung-Min and Jung, Ho-Young and Lee, Te-Won and Lee, Soo-Young},
  date = {1999},
  journaltitle = {Electron. Lett.},
  volume = {35},
  number = {23},
  pages = {2011--2012},
  publisher = {{IET}}
}

@article{park2020early,
  title = {Early Release-Coronavirus Disease Outbreak in Call Center, South Korea},
  author = {Park, Shin Young and Kim, Young-Man and Yi, Seonju and Lee, Sangeun and Na, Baeg-Ju and Kim, Chang Bo and Kim, Jung-il and Kim, Hea Sook and Kim, Young Bok and Park, Yoojin and others},
  date = {2020}
}

@inproceedings{paterDefiningDigitalSelfHarm2017,
  title = {Defining {{Digital Self-Harm}}},
  booktitle = {Proceedings of the 2017 {{ACM Conference}} on {{Computer Supported Cooperative Work}} and {{Social Computing}}},
  author = {Pater, Jessica and Mynatt, Elizabeth},
  date = {2017-02-25},
  pages = {1501--1513},
  publisher = {{ACM}},
  location = {{Portland Oregon USA}},
  doi = {10.1145/2998181.2998224},
  abstract = {Self-harm is the infliction of pain or injury onto oneself. Though historically these behaviors were relegated to the fringes of communities, information technology now enables new ways to foster and encourage these dangerous activities. This paper defines the concept of digital selfharm as the online communication and activity that leads to, supports, or exacerbates, non-suicidal yet intentional harm or impairment of an individual’s physical wellbeing. We outline a research agenda for the CSCW community to understand the correlation and possible causation of offline self-harm behaviors due to online activities, and to design and assess technologies focused on prevention, mitigation and treatment. CAUTION: This paper includes media that could potentially be triggering to those dealing with an eating disorder or with other self-harm related illnesses. Please use caution when reading or disseminating this paper.},
  eventtitle = {{{CSCW}} '17: {{Computer Supported Cooperative Work}} and {{Social Computing}}},
  isbn = {978-1-4503-4335-0},
  langid = {english},
  file = {/home/src/Papers/pater_mynatt_2017_defining digital self-harm.pdf}
}

@online{pattersonCategoricalDataStructures2021,
  title = {Categorical {{Data Structures}} for {{Technical Computing}}},
  author = {Patterson, Evan and Lynch, Owen and Fairbanks, James},
  date = {2021-06-08},
  shortjournal = {ArXiv210604703 Cs Math},
  eprint = {2106.04703},
  eprinttype = {arxiv},
  primaryclass = {cs, math},
  url = {http://arxiv.org/abs/2106.04703},
  urldate = {2021-09-27},
  abstract = {Many mathematical objects can be represented as functors from finitely-presented categories \$\textbackslash mathsf\{C\}\$ to \$\textbackslash mathsf\{Set\}\$. For instance, graphs are functors to \$\textbackslash mathsf\{C\}\$ from the category with two parallel arrows. Such functors are known informally as \$\textbackslash mathsf\{C\}\$-sets. In this paper, we describe and implement an extension of \$\textbackslash mathsf\{C\}\$-sets having data attributes with fixed types, such as graphs with labeled vertices or real-valued edge weights. We call such structures "acsets," short for "attributed \$\textbackslash mathsf\{C\}\$-sets." Derived from previous work on algebraic databases, acsets are a joint generalization of graphs and data frames. They also encompass more elaborate graph-like objects such as wiring diagrams and Petri nets with rate constants. We develop the mathematical theory of acsets and then describe a generic implementation in the Julia programming language, which uses advanced language features to achieve performance comparable with specialized data structures.},
  archiveprefix = {arXiv},
  langid = {english},
  keywords = {Computer Science - Databases,Computer Science - Logic in Computer Science,Mathematics - Category Theory},
  file = {/Users/jzelko3/Knowledgebase/Papers/Patterson et al_2021_Categorical Data Structures for Technical Computing.pdf}
}

@article{peak2020individual,
  title = {Individual Quarantine versus Active Monitoring of Contacts for the Mitigation of {{COVID-19}}: A Modelling Study},
  author = {Peak, Corey M and Kahn, Rebecca and Grad, Yonatan H and Childs, Lauren M and Li, Ruoran and Lipsitch, Marc and Buckee, Caroline O},
  date = {2020},
  journaltitle = {Lancet Infect. Dis.},
  publisher = {{Elsevier}}
}

@book{pearlBookWhyNew2018,
  title = {The Book of Why: The New Science of Cause and Effect},
  shorttitle = {The Book of Why},
  author = {Pearl, Judea and Mackenzie, Dana},
  date = {2018},
  edition = {First edition},
  publisher = {{Basic Books}},
  location = {{New York}},
  abstract = {"Everyone has heard the claim, "Correlation does not imply causation." What might sound like a reasonable dictum metastasized in the twentieth century into one of science's biggest obstacles, as a legion of researchers became unwilling to make the claim that one thing could cause another. Even two decades ago, asking a statistician a question like "Was it the aspirin that stopped my headache?" would have been like asking if he believed in voodoo, or at best a topic for conversation at a cocktail party rather than a legitimate target of scientific inquiry. Scientists were allowed to posit only that the probability that one thing was associated with another. This all changed with Judea Pearl, whose work on causality was not just a victory for common sense, but a revolution in the study of the world"--},
  isbn = {978-0-465-09760-9},
  langid = {english},
  pagetotal = {418},
  keywords = {Causation,Inference},
  file = {/home/src/Papers/pearl_mackenzie_2018_the book of why.pdf}
}

@book{pearlCausalityModelsReasoning2009,
  title = {Causality {{Models}}, {{Reasoning}} and {{Inference}} by {{Judea Pearl}}},
  author = {Pearl, Judea},
  date = {2009},
  abstract = {Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, economics, philosophy, cognitive science, and the health and social sciences. Judea Pearl presents a comprehensive theory of causality which unifies the probabilistic, manipulative, counterfactual, and structural approaches to causation and offers simple mathematical tools for studying the relationships between causal connections and statistical associations. The book opens the way for including causal analysis in the standard curricula of statistics, artificial intelligence, business, epidemiology, social sciences, and economics. Students in these fields will find natural models, simple inferential procedures, and precise mathematical definitions of causal concepts that traditional texts have evaded or made unduly complicated. The first edition of Causality has led to a paradigmatic change in the way that causality is treated in statistics, philosophy, computer science, social science, and economics. Cited in more than 2,800 scientific publications, it continues to liberate scientists from the traditional molds of statistical thinking. In this revised edition, Pearl elucidates thorny issues, answers readers’ questions, and offers a panoramic view of recent advances in this field of research. Causality will be of interest to students and professionals in a wide variety of fields. Anyone who wishes to elucidate meaningful relationships from data, predict effects of actions and policies, assess explanations of reported events, or form theories of causal understanding and causal speech will find this book stimulating and invaluable.},
  file = {/home/src/Offline/Papers/pearl_2009_causality models, reasoning and inference by judea pearl.pdf}
}

@incollection{peirisCoronaviruses2012,
  title = {Coronaviruses},
  booktitle = {Medical {{Microbiology}}},
  author = {Peiris, J.S.M.},
  date = {2012},
  pages = {587--593},
  publisher = {{Elsevier}},
  doi = {10.1016/B978-0-7020-4089-4.00072-X},
  isbn = {978-0-7020-4089-4},
  langid = {english},
  file = {/home/src/Offline/Papers/peiris_2012_coronaviruses.pdf}
}

@article{pierannunziSystematicReviewPublications2013,
  title = {A Systematic Review of Publications Assessing Reliability and Validity of the {{Behavioral Risk Factor Surveillance System}} ({{BRFSS}}), 2004–2011},
  author = {Pierannunzi, Carol and Hu, Shaohua Sean and Balluz, Lina},
  date = {2013-12},
  journaltitle = {BMC Med Res Methodol},
  volume = {13},
  number = {1},
  pages = {49},
  issn = {1471-2288},
  doi = {10.1186/1471-2288-13-49},
  abstract = {Background: In recent years response rates on telephone surveys have been declining. Rates for the behavioral risk factor surveillance system (BRFSS) have also declined, prompting the use of new methods of weighting and the inclusion of cell phone sampling frames. A number of scholars and researchers have conducted studies of the reliability and validity of the BRFSS estimates in the context of these changes. As the BRFSS makes changes in its methods of sampling and weighting, a review of reliability and validity studies of the BRFSS is needed. Methods: In order to assess the reliability and validity of prevalence estimates taken from the BRFSS, scholarship published from 2004–2011 dealing with tests of reliability and validity of BRFSS measures was compiled and presented by topics of health risk behavior. Assessments of the quality of each publication were undertaken using a categorical rubric. Higher rankings were achieved by authors who conducted reliability tests using repeated test/ retest measures, or who conducted tests using multiple samples. A similar rubric was used to rank validity assessments. Validity tests which compared the BRFSS to physical measures were ranked higher than those comparing the BRFSS to other self-reported data. Literature which undertook more sophisticated statistical comparisons was also ranked higher. Results: Overall findings indicated that BRFSS prevalence rates were comparable to other national surveys which rely on self-reports, although specific differences are noted for some categories of response. BRFSS prevalence rates were less similar to surveys which utilize physical measures in addition to self-reported data. There is very little research on reliability and validity for some health topics, but a great deal of information supporting the validity of the BRFSS data for others. Conclusions: Limitations of the examination of the BRFSS were due to question differences among surveys used as comparisons, as well as mode of data collection differences. As the BRFSS moves to incorporating cell phone data and changing weighting methods, a review of reliability and validity research indicated that past BRFSS landline only data were reliable and valid as measured against other surveys. New analyses and comparisons of BRFSS data which include the new methodologies and cell phone data will be needed to ascertain the impact of these changes on estimates in the future.},
  langid = {english},
  file = {/home/cedarprince/Zotero/storage/VWAF7MSQ/Pierannunzi et al. - 2013 - A systematic review of publications assessing reli.pdf}
}

@book{pimsleurModernStandardArabic2012,
  title = {Modern {{Standard Arabic}}},
  author = {{Pimsleur}},
  date = {2012},
  publisher = {{Simon \& Schuster, Inc.}},
  file = {/home/src/Offline/Papers/pimsleur_2012_modern standard arabic.pdf}
}

@article{pinkerWhyAcademicsStink,
  title = {Why {{Academics Stink}} at {{Writing}}},
  author = {Pinker, Steven},
  pages = {16},
  langid = {english},
  file = {/home/cedarprince/Zotero/storage/FEN97UM2/Pinker - Why Academics Stink at Writing.pdf}
}

@article{posner1980attention,
  title = {Attention and the Detection of Signals.},
  author = {Posner, Michael I and Snyder, Charles R and Davidson, Brian J},
  date = {1980},
  journaltitle = {J. Exp. Psychol. Gen.},
  volume = {109},
  number = {2},
  pages = {160},
  publisher = {{American Psychological Association}}
}

@article{posner2004attention,
  title = {Attention and Cognitive Control},
  author = {Posner, Michael I and Snyder, Charles R and Solso, R},
  date = {2004},
  journaltitle = {Cogn. Psychol. Key Read.},
  volume = {205},
  publisher = {{Psychology Press New York, NY}}
}

@article{powellApplyingHealthJustice2020,
  title = {Applying the {{Health Justice Framework}} to {{Address Health}} and {{Health Care Inequities Experienced}} by {{People}} with {{Disabilities During}} and {{After COVID-19}}},
  author = {Powell, Robyn},
  date = {2020},
  journaltitle = {SSRN Journal},
  issn = {1556-5068},
  doi = {10.2139/ssrn.3687730},
  abstract = {The COVID-19 pandemic has been especially devastating for people with disabilities, as well as other members of marginalized communities. Indeed, an emerging body of scholarship has revealed striking disparities experienced by people with disabilities. In particular, scholars have shined a light on issues relating to triage policies that allow for the rationing of critical health care and resources, such as ventilators, for people with disabilities if resources become limited and hospitals cannot treat all patients during the pandemic. These injustices are a deserving issue that urgently warrants extensive consideration by policymakers, legal professionals, and scholars.},
  langid = {english},
  file = {/home/src/Papers/powell_2020_applying the health justice framework to address health and health care.pdf}
}

@book{prasher2008physical,
  title = {Physical Health of Adults with Intellectual Disabilities},
  author = {Prasher, Vee and Janicki, Matthew},
  date = {2008},
  publisher = {{John Wiley \& Sons}}
}

@article{prince2017relationship,
  title = {The Relationship between Autism Symptoms and Arousal Level in Toddlers with Autism Spectrum Disorder, as Measured by Electrodermal Activity},
  author = {Prince, Emily Barbara and Kim, Elizabeth S and Wall, Carla Anne and Gisin, Eugenia and Goodwin, Matthew S and Simmons, Elizabeth Schoen and Chawarska, Kaisa and Shic, Frederick},
  date = {2017},
  journaltitle = {Autism},
  volume = {21},
  number = {4},
  pages = {504--508},
  publisher = {{SAGE Publications Sage UK: London, England}}
}

@article{przybylski2017large,
  title = {A Large-Scale Test of the Goldilocks Hypothesis: Quantifying the Relations between Digital-Screen Use and the Mental Well-Being of Adolescents},
  author = {Przybylski, Andrew K and Weinstein, Netta},
  date = {2017},
  journaltitle = {Psychol. Sci.},
  volume = {28},
  number = {2},
  pages = {204--215},
  publisher = {{Sage Publications Sage CA: Los Angeles, CA}}
}

@article{pyc2009testing,
  title = {Testing the Retrieval Effort Hypothesis: {{Does}} Greater Difficulty Correctly Recalling Information Lead to Higher Levels of Memory?},
  author = {Pyc, Mary A and Rawson, Katherine A},
  date = {2009},
  journaltitle = {J. Mem. Lang.},
  volume = {60},
  number = {4},
  pages = {437--447},
  publisher = {{Elsevier}}
}

@inproceedings{quigleyNormativeMisperceptionsSuicidal2014,
  title = {Normative Misperceptions of Suicidal and Self-Harming Behaviours in an Undergraduate Student Population},
  author = {Quigley, Jody and Rasmussen, Susan and Mcalaney, John},
  date = {2014-04-24},
  abstract = {Introduction: A systematic review of 86 papers revealed that adolescents’ suicidal and self-harming behaviour is positively associated with similar behaviours in people they know. Social norms research into other damaging health behaviours suggests that one’s engagement in a given behaviour is related to perceived social norms surrounding that behaviour, but social norms are often misperceived, such that it may be those misperceptions which are related to behaviour. Interventions which reduce such misperceptions have proven effective in reducing those behaviours. The current study aimed to address the dearth of research into the role of social norms regarding suicidal and self-harming behaviours. Method: 184 undergraduates completed an anonymous, online self-report survey exploring their engagement in, and approval of, suicidal and self-harming behaviours, and their perceptions of others’ engagement in (descriptive norms), and approval of (injunctive norms), those behaviours. Results: Consistent with previous social norms research, participants tended to overestimate the descriptive norms of suicidal and self-harming behaviours for less familiar groups (e.g. “students in general”) relative to their own. However, contrary to previous research, they also tended to underestimate descriptive norms for those closer to them (e.g. “your siblings”). No differences were found with regard to injunctive norms. Conclusions: Results suggest that The Social Norms Approach, which has been used in other areas to correct misperceptions and reduce target behaviours, may be applicable to suicidal and self-harming behaviours, but only in terms of descriptive norms. Further research is underway to explore the unexpected findings.}
}

@online{quinnUseWeeklyReview,
  title = {Use a {{Weekly Review List}} to {{Stay}} a {{Step Ahead This Semester}}},
  author = {Quinn, Sean},
  url = {https://lifehacker.com/use-a-weekly-review-list-to-stay-a-step-ahead-this-seme-5611657},
  urldate = {2020-03-19},
  abstract = {Incorporate a weekly review in your schedule this semester and really get things done.},
  langid = {american},
  organization = {{Lifehacker}},
  file = {/home/cedarprince/Zotero/storage/M9Z8CZXW/use-a-weekly-review-list-to-stay-a-step-ahead-this-seme-5611657.html}
}

@online{Quizlet,
  title = {Quizlet},
  url = {https://quizlet.com/},
  urldate = {2020-06-07},
  abstract = {Quizlet makes simple learning tools that let you study anything. Start learning today with flashcards, games and learning tools — all for free.},
  langid = {american},
  organization = {{Quizlet}},
  file = {/home/cedarprince/Zotero/storage/7VW8RDQW/quizlet.com.html}
}

@article{rapsangScoringSystemsIntensive2014,
  title = {Scoring Systems in the Intensive Care Unit: {{A}} Compendium},
  shorttitle = {Scoring Systems in the Intensive Care Unit},
  author = {Rapsang, Amy and Shyam, Devajit C.},
  date = {2014-04},
  journaltitle = {Indian J. Crit. Care Med.},
  volume = {18},
  number = {4},
  pages = {220--228},
  issn = {0972-5229, 1998-359X},
  doi = {10.4103/0972-5229.130573},
  abstract = {Severity scales are important adjuncts of treatment in the intensive care unit (ICU) in order to predict patient outcome, comparing quality-of-care and stratification for clinical trials. Even though disease severity scores are not the key elements of treatment, they are however, an essential part of improvement in clinical decisions and in identifying patients with unexpected outcomes. Prediction models do face many challenges, but, proper application of these models helps in decision making at the right time and in decreasing hospital cost. In fact, they have become a necessary tool to describe ICU populations and to explain differences in mortality. However, it is also important to note that the choice of the severity score scale, index, or model should accurately match the event, setting or application; as mis-application, of such systems can lead to wastage of time, increased cost, unwarranted extrapolations and poor science.This article provides a brief overview of ICU severity scales (along with their predicted death/survival rate calculations) developed over the last 3 decades including several of them which has been revised accordingly.},
  langid = {english},
  file = {/Users/jzelko3/Knowledgebase/Papers/Rapsang_Shyam_2014_Scoring systems in the intensive care unit.pdf}
}

@software{RCallJl2021,
  title = {{{RCall}}.Jl},
  date = {2021-08-10T19:40:22Z},
  origdate = {2015-01-02T20:33:30Z},
  url = {https://github.com/JuliaInterop/RCall.jl},
  urldate = {2021-08-13},
  abstract = {Call R from Julia},
  organization = {{Julia Interop}}
}

@article{reeves2020class,
  title = {Class and {{COVID}}: {{How}} the Less Affluent Face Double Risks},
  author = {Reeves, R and Rothwell, Jonathan},
  date = {2020},
  journaltitle = {Retrieved March},
  volume = {30},
  pages = {2020}
}

@article{reinhardt2012salivary,
  title = {Salivary Cortisol, Heart Rate, Electrodermal Activity and Subjective Stress Responses to the {{Mannheim Multicomponent Stress Test}} ({{MMST}})},
  author = {Reinhardt, Tatyana and Schmahl, Christian and Wüst, Stefan and Bohus, Martin},
  date = {2012},
  journaltitle = {Psychiatry Res.},
  volume = {198},
  number = {1},
  pages = {106--111},
  publisher = {{Elsevier}}
}

@article{rhodesJustintimeInformationRetrieval2000,
  title = {Just-in-Time Information Retrieval Agents},
  author = {Rhodes, B. J. and Maes, P.},
  date = {2000},
  journaltitle = {IBM Syst. J.},
  volume = {39},
  number = {3.4},
  pages = {685--704},
  issn = {0018-8670},
  doi = {10.1147/sj.393.0685},
  langid = {english},
  file = {/Users/jzelko3/Knowledgebase/Papers/rhodes_maes_2000_just-in-time information retrieval agents.pdf}
}

@article{rhodesRemembranceAgentContinuously,
  title = {Remembrance {{Agent}}: {{A Continuously Running Automated Information Retrieval System}}},
  author = {Rhodes, Bradley J and Starner, Thad},
  pages = {4},
  abstract = {The Remembrance Agent (RA) is a program which augmentshumanmemoryby displaying a list of documents which might be relevant to the user’s current context. Unlike most information retrieval systems, the RAruns continuouslywithout user intervention. Its unobtrusive interface allows a user to pursue or ignore the RA’ssuggestions as desired.},
  langid = {english},
  file = {/home/src/Papers/rhodes_starner_remembrance agent.pdf}
}

@article{richesson2014electronic,
  title = {Electronic Health Records-Based Phenotyping},
  author = {Richesson, Rachel and Smerek, Michelle},
  date = {2014},
  journaltitle = {Rethink. Clin. Trials Living Textb. Pragmatic Clin. Trials},
  volume = {2016},
  file = {/home/src/Papers/richesson_smerek_2014_electronic health records-based phenotyping2.pdf}
}

@book{robertsGettingHealthReform2008,
  title = {Getting {{Health Reform Right}}},
  author = {Roberts, Marc and Hsiao, William and Berman, Peter and Reich, Michael},
  date = {2008-04-17},
  publisher = {{Oxford University Press}},
  doi = {10.1093/acprof:oso/9780195371505.001.0001},
  isbn = {978-0-19-537150-5},
  langid = {english},
  file = {/home/src/Papers/roberts et al_2008_getting health reform right.pdf}
}

@article{robertson1997oops,
  title = {Oops!': Performance Correlates of Everyday Attentional Failures in Traumatic Brain Injured and Normal Subjects},
  author = {Robertson, Ian H and Manly, Tom and Andrade, Jackie and Baddeley, Bart T and Yiend, Jenny},
  date = {1997},
  journaltitle = {Neuropsychologia},
  volume = {35},
  number = {6},
  pages = {747--758},
  publisher = {{Pergamon}}
}

@article{roediger2011test,
  title = {Test-Enhanced Learning in the Classroom: Long-Term Improvements from Quizzing.},
  author = {Roediger III, Henry L and Agarwal, Pooja K and McDaniel, Mark A and McDermott, Kathleen B},
  date = {2011},
  journaltitle = {J. Exp. Psychol. Appl.},
  volume = {17},
  number = {4},
  pages = {382},
  publisher = {{American Psychological Association}}
}

@article{rohrerThinkingClearlyCorrelations,
  title = {Thinking {{Clearly About Correlations}} and {{Causation}}: {{Graphical Causal Models}} for {{Observational Data}}},
  author = {Rohrer, Julia M},
  pages = {16},
  abstract = {Correlation does not imply causation; but often, observational data are the only option, even though the research question at hand involves causality. This article discusses causal inference based on observational data, introducing readers to graphical causal models that can provide a powerful tool for thinking more clearly about the interrelations between variables. Topics covered include the rationale behind the statistical control of third variables, common procedures for statistical control, and what can go wrong during their implementation. Certain types of third variables—colliders and mediators—should not be controlled for because that can actually move the estimate of an association away from the value of the causal effect of interest. More subtle variations of such harmful control include using unrepresentative samples, which can undermine the validity of causal conclusions, and statistically controlling for mediators. Drawing valid causal inferences on the basis of observational data is not a mechanistic procedure but rather always depends on assumptions that require domain knowledge and that can be more or less plausible. However, this caveat holds not only for research based on observational data, but for all empirical research endeavors.},
  langid = {english},
  file = {/home/src/Offline/Papers/rohrer_thinking clearly about correlations and causation.pdf}
}

@book{rosenDiscreteMathematicsIts2019,
  title = {Discrete Mathematics and Its Applications},
  author = {Rosen, Kenneth H.},
  date = {2019},
  edition = {Eighth edition},
  publisher = {{McGraw-Hill}},
  location = {{New York, NY}},
  isbn = {978-1-259-67651-2},
  langid = {english},
  pagetotal = {942},
  keywords = {Computer science,Mathematics},
  file = {/home/src/Papers/rosen_2019_discrete mathematics and its applications.pdf}
}

@article{rosnerWilcoxonSignedRank2006,
  title = {The {{Wilcoxon Signed Rank Test}} for {{Paired Comparisons}} of {{Clustered Data}}},
  author = {Rosner, Bernard and Glynn, Robert J. and Lee, Mei-Ling T.},
  date = {2006},
  journaltitle = {Biometrics},
  volume = {62},
  number = {1},
  pages = {185--192},
  issn = {1541-0420},
  doi = {10.1111/j.1541-0420.2005.00389.x},
  abstract = {The Wilcoxon signed rank test is a frequently used nonparametric test for paired data (e.g., consisting of pre- and posttreatment measurements) based on independent units of analysis. This test cannot be used for paired comparisons arising from clustered data (e.g., if paired comparisons are available for each of two eyes of an individual). To incorporate clustering, a generalization of the randomization test formulation for the signed rank test is proposed, where the unit of randomization is at the cluster level (e.g., person), while the individual paired units of analysis are at the subunit within cluster level (e.g., eye within person). An adjusted variance estimate of the signed rank test statistic is then derived, which can be used for either balanced (same number of subunits per cluster) or unbalanced (different number of subunits per cluster) data, with an exchangeable correlation structure, with or without tied values. The resulting test statistic is shown to be asymptotically normal as the number of clusters becomes large, if the cluster size is bounded. Simulation studies are performed based on simulating correlated ranked data from a signed log-normal distribution. These studies indicate appropriate type I error for data sets with ≥20 clusters and a superior power profile compared with either the ordinary signed rank test based on the average cluster difference score or the multivariate signed rank test of Puri and Sen (1971, Nonparametric Methods in Multivariate Analysis, New York: John Wiley). Finally, the methods are illustrated with two data sets, (i) an ophthalmologic data set involving a comparison of electroretinogram (ERG) data in retinitis pigmentosa (RP) patients before and after undergoing an experimental surgical procedure, and (ii) a nutritional data set based on a randomized prospective study of nutritional supplements in RP patients where vitamin E intake outside of study capsules is compared before and after randomization to monitor compliance with nutritional protocols.},
  langid = {english},
  keywords = {Clustered data,Nonparametric tests,Ophthalmologic data,Paired data},
  annotation = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1541-0420.2005.00389.x},
  file = {/home/src/Papers/rosner et al_2006_the wilcoxon signed rank test for paired comparisons of clustered data.pdf;/home/cedarprince/Zotero/storage/Q3K65QDI/j.1541-0420.2005.00389.html}
}

@article{rossEffectsBreaksGoal2014,
  title = {Effects of Breaks and Goal Switches on the Vigilance Decrement},
  author = {Ross, Hayden A. and Russell, Paul N. and Helton, William S.},
  date = {2014-06},
  journaltitle = {Exp Brain Res},
  volume = {232},
  number = {6},
  pages = {1729--1737},
  issn = {0014-4819, 1432-1106},
  doi = {10.1007/s00221-014-3865-5},
  abstract = {In this report, we examined the impact of rest breaks and goal switches on the vigilance decrement—the change in performance with time-on-task—and subjective stress and workload. In study 1, we examined the decrement in a visual line-length discrimination task employed in previous research. The task had a linear decrement in perceptual sensitivity with time-on-task based on the results of a trend analysis (orthogonal polynomial contrasts). In addition, the task had a profile of self-reported stress and workload similar to other moderately demanding vigilance tasks. In study 2, we examined the decrement in the same task with the factorial inclusion of rest breaks and goal switches late in the task. The inclusion of rest breaks resulted in a significant cubic trend in perceptual sensitivity. After the first rest break, there was a reversal of the linear downward decrement in perceptual sensitivity, but the second rest break did not elicit this change. The inclusion of goal switches did not cause any significant deviation from the linear trend and did not attenuate the decrement. In addition, the inclusion of rest breaks resulted in reduced self-reported effort and temporal demand. The results of the present study cohere with the expectations of a resource depletion account of the vigilance decrement.},
  langid = {english},
  file = {/home/src/Offline/Papers/ross et al_2014_effects of breaks and goal switches on the vigilance decrement.pdf}
}

@book{roughgardenAlgorithmsIlluminatedPart2017,
  title = {Algorithms Illuminated. {{Part}} 1: {{The Basics}}},
  shorttitle = {Algorithms Illuminated. {{Part}} 1},
  author = {Roughgarden, Tim},
  date = {2017},
  publisher = {{Soundlikeyourself Publishing}},
  location = {{San Francisco, CA}},
  isbn = {978-0-9992829-0-8},
  langid = {english},
  annotation = {OCLC: 1057268303},
  file = {/home/src/Papers/roughgarden_2017_algorithms illuminated.pdf}
}

@article{sacks2015introduction,
  title = {Introduction of Mobile Health Tools to Support {{Ebola}} Surveillance and Contact Tracing in {{Guinea}}},
  author = {Sacks, Jilian A and Zehe, Elizabeth and Redick, Cindil and Bah, Alhoussaine and Cowger, Kai and Camara, Mamady and Diallo, Aboubacar and Gigo, Abdel Nasser Iro and Dhillon, Ranu S and Liu, Anne},
  date = {2015},
  journaltitle = {Glob. Health Sci. Pract.},
  volume = {3},
  number = {4},
  pages = {646--659},
  publisher = {{Global Health: Science and Practice}}
}

@inproceedings{sakoglu2009dynamic,
  title = {Dynamic Windowing Reveals Task-Modulation of Functional Connectivity in Schizophrenia Patients vs Healthy Controls},
  booktitle = {Proc. {{Intl}}. {{Soc}}. {{Mag}}. {{Reson}}. {{Med}}},
  author = {Sakoglu, U and Calhoun, VD},
  date = {2009},
  volume = {17},
  pages = {3675}
}

@article{salmoni1984knowledge,
  title = {Knowledge of Results and Motor Learning: A Review and Critical Reappraisal.},
  author = {Salmoni, Alan W and Schmidt, Richard A and Walter, Charles B},
  date = {1984},
  journaltitle = {Psychol. Bull.},
  volume = {95},
  number = {3},
  pages = {355},
  publisher = {{American Psychological Association}}
}

@online{saneaustraliaSelfharm2019,
  title = {Self-Harm},
  author = {{SANE Australia}},
  date = {2019},
  url = {https://www.sane.org/information-stories/facts-and-guides/self-harm},
  urldate = {2020-06-16}
}

@incollection{sapolsky1993endocrinology,
  title = {Endocrinology Alfresco: Psychoendocrine Studies of Wild Baboons},
  booktitle = {Recent Progress in Hormone Research},
  author = {Sapolsky, Robert M},
  date = {1993},
  pages = {437--468},
  publisher = {{Elsevier}}
}

@article{sarkarPerformanceIntensiveCare2021,
  title = {Performance of Intensive Care Unit Severity Scoring Systems across Different Ethnicities in the {{USA}}: A Retrospective Observational Study},
  shorttitle = {Performance of Intensive Care Unit Severity Scoring Systems across Different Ethnicities in the {{USA}}},
  author = {Sarkar, Rahuldeb and Martin, Christopher and Mattie, Heather and Gichoya, Judy Wawira and Stone, David J and Celi, Leo Anthony},
  date = {2021-04},
  journaltitle = {The Lancet Digital Health},
  volume = {3},
  number = {4},
  pages = {e241-e249},
  issn = {25897500},
  doi = {10.1016/S2589-7500(21)00022-4},
  abstract = {Background Despite wide use of severity scoring systems for case-mix determination and benchmarking in the intensive care unit (ICU), the possibility of scoring bias across ethnicities has not been examined. Guidelines on the use of illness severity scores to inform triage decisions for allocation of scarce resources, such as mechanical ventilation, during the current COVID-19 pandemic warrant examination for possible bias in these models. We investigated the performance of the severity scoring systems Acute Physiology and Chronic Health Evaluation IVa (APACHE IVa), Oxford Acute Severity of Illness Score (OASIS), and Sequential Organ Failure Assessment (SOFA) across four ethnicities in two large ICU databases to identify possible ethnicity-based bias.},
  langid = {english},
  file = {/Users/jzelko3/Knowledgebase/Papers/Sarkar et al_2021_Performance of intensive care unit severity scoring systems across different.pdf}
}

@article{savard2013relationship,
  title = {Relationship between Objectively Recorded Hot Flashes and Sleep Disturbances among Breast Cancer Patients: Investigating Hot Flash Characteristics Other than Frequency},
  author = {Savard, Marie-Hélène and Savard, Josée and Caplette-Gingras, Aude and Ivers, Hans and Bastien, Célyne},
  date = {2013},
  journaltitle = {Menopause},
  volume = {20},
  number = {10},
  pages = {997--1005},
  publisher = {{LWW}}
}

@book{schaefferArtBible2009,
  title = {Art and the {{Bible}}.},
  author = {Schaeffer, Francis A},
  date = {2009},
  publisher = {{InterVarsity Press}},
  location = {{Downers Grove}},
  url = {http://qut.eblib.com.au/patron/FullRecord.aspx?p=2007071},
  urldate = {2021-01-17},
  abstract = {"The lordship of Christ should include an interest in the arts," writes Francis Schaeffer. "A Christian should use these arts to the glory of God, not just as tracts, mind you, but as things of beauty to the praise of God." Many Christians, wary of creating graven images, have steered clear of artistic creativity. But the Bible offers a robust affirmation of the arts. The human impulse to create reflects our being created in the image of a creator God. Art and the Bible has been a foundational work for generations of Christians in the arts. In this book's classic essays, Francis Schaeffer first examines the scriptural record of the use of various art forms, and then establishes a Christian perspective on art. With clarity and vigor, Schaeffer explains why "the Christian is the one whose imagination should fly beyond the stars."},
  isbn = {978-0-8308-7444-6},
  langid = {english},
  annotation = {OCLC: 1043360408},
  file = {/home/src/Papers/schaeffer_2009_art and the bible.pdf}
}

@article{schafer2016epi,
  title = {The {{Epi Info Viral Hemorrhagic Fever}} ({{VHF}}) Application: A Resource for Outbreak Data Management and Contact Tracing in the 2014–2016 {{West Africa Ebola}} Epidemic},
  author = {Schafer, Ilana J and Knudsen, Erik and McNamara, Lucy A and Agnihotri, Sachin and Rollin, Pierre E and Islam, Asad},
  date = {2016},
  journaltitle = {J. Infect. Dis.},
  volume = {214},
  pages = {S122--S136},
  publisher = {{Oxford University Press}},
  issue = {suppl\_3}
}

@article{schistermanOveradjustmentBiasUnnecessary2009,
  title = {Overadjustment {{Bias}} and {{Unnecessary Adjustment}} in {{Epidemiologic Studies}}},
  shorttitle = {Overadjustment {{Bias}} and {{Unnecessary Adjustment}} in {{Epidemiologic Studies}}},
  author = {Schisterman, Enrique F. and Cole, Stephen R. and Platt, Robert W.},
  date = {2009-07},
  journaltitle = {Epidemiology},
  volume = {20},
  number = {4},
  pages = {488--495},
  issn = {1044-3983},
  doi = {10.1097/EDE.0b013e3181a819a1},
  langid = {english},
  file = {/home/src/Offline/Papers/schisterman et al_2009_overadjustment bias and unnecessary adjustment in epidemiologic studies.pdf}
}

@article{schmidtNiklasLuhmannCard2018,
  title = {Niklas {{Luhmann}}’s {{Card Index}}: {{The Fabrication}} of {{Serendipity}}},
  shorttitle = {Niklas {{Luhmann}}’s {{Card Index}}},
  author = {Schmidt, Johannes F.K.},
  date = {2018-07-26},
  journaltitle = {Sociologica},
  volume = {Vol 12},
  pages = {53-60 Pages},
  publisher = {{Sociologica}},
  doi = {10.6092/ISSN.1971-8853/8350},
  langid = {english},
  file = {/home/src/Offline/Papers/schmidt_2018_niklas luhmann’s card index.pdf}
}

@article{schulenberg2017monitoring,
  title = {Monitoring the {{Future}} National Survey Results on Drug Use, 1975-2016: {{Volume II}}, {{College}} Students and Adults Ages 19-55},
  author = {Schulenberg, John E and Johnston, Lloyd D and O'Malley, Patrick M and Bachman, Jerald G and Miech, Richard A and Patrick, Megan E},
  date = {2017},
  publisher = {{Institute for Social Research, The University of Michigan}}
}

@book{sebastianleitnerLerntManLernen1972,
  title = {So Lernt Man Lernen: {{Aangewandte Lernpsychologie}} - Ein {{Weg}} Zum {{Erfolg}}},
  author = {{Sebastian Leitner}},
  date = {1972},
  publisher = {{Verlag Herder}},
  location = {{Freiburg im Breisgau}}
}

@article{sehulster1989content,
  title = {Content and Temporal Structure of Autobiographical Knowledge: {{Remembering}} Twenty-Five Seasons at the {{Metropolitan Opera}}},
  author = {Sehulster, Jerome R},
  date = {1989},
  journaltitle = {Mem. Cognit.},
  volume = {17},
  number = {5},
  pages = {590--606},
  publisher = {{Springer}}
}

@article{seidl2014niklas,
  title = {Niklas {{Luhmann}} as Organization Theorist},
  author = {Seidl, David and Mormann, Hannah},
  date = {2014},
  journaltitle = {Oxf. Handb. Sociol. Soc. Theory Organ. Stud. Contemp. Curr.},
  pages = {125--157},
  publisher = {{Oxford University Press Oxford}}
}

@article{shade2003weborexics,
  title = {Weborexics: {{The}} Ethical Issues Surrounding pro-Ana Websites},
  author = {Shade, Leslie Regan},
  date = {2003},
  journaltitle = {Acm Sigcas Comput. Soc.},
  volume = {33},
  number = {4},
  pages = {2},
  publisher = {{ACM New York, NY, USA}}
}

@book{shallice1988neuropsychology,
  title = {From Neuropsychology to Mental Structure},
  author = {Shallice, Tim},
  date = {1988},
  publisher = {{Cambridge University Press}}
}

@article{shaughnessy1977long,
  title = {Long-Term Retention and the Spacing Effect in Free-Recall and Frequency Judgments},
  author = {Shaughnessy, John J},
  date = {1977},
  journaltitle = {Am. J. Psychol.},
  pages = {587--598},
  publisher = {{JSTOR}}
}

@article{shea1979contextual,
  title = {Contextual Interference Effects on the Acquisition, Retention, and Transfer of a Motor Skill.},
  author = {Shea, John B and Morgan, Robyn L},
  date = {1979},
  journaltitle = {J. Exp. Psychol. [Hum. Learn.]},
  volume = {5},
  number = {2},
  pages = {179},
  publisher = {{American Psychological Association}}
}

@article{shi2020covid,
  title = {{{COVID-19}} Infection: The Perspectives on Immune Responses},
  author = {Shi, Yufang and Wang, Ying and Shao, Changshun and Huang, Jianan and Gan, Jianhe and Huang, Xiaoping and Bucci, Enrico and Piacentini, Mauro and Ippolito, Giuseppe and Melino, Gerry},
  date = {2020},
  publisher = {{Nature Publishing Group}}
}

@article{shih2002problems,
  title = {Problems in Dealing with Missing Data and Informative Censoring in Clinical Trials},
  author = {Shih, Weichung Joseph},
  date = {2002},
  journaltitle = {Curr. Control. Trials Cardiovasc. Med.},
  volume = {3},
  number = {1},
  pages = {1--7},
  publisher = {{BioMed Central}}
}

@article{siegrist1996adverse,
  title = {Adverse Health Effects of High-Effort/Low-Reward Conditions.},
  author = {Siegrist, Johannes},
  date = {1996},
  journaltitle = {J. Occup. Health Psychol.},
  volume = {1},
  number = {1},
  pages = {27},
  publisher = {{Educational Publishing Foundation}}
}

@book{skienaAlgorithmDesignManual2008,
  title = {The {{Algorithm Design Manual}}},
  author = {Skiena, Steven S.},
  date = {2008},
  publisher = {{Springer London}},
  location = {{London}},
  doi = {10.1007/978-1-84800-070-4},
  isbn = {978-1-84800-069-8 978-1-84800-070-4},
  langid = {english},
  file = {/home/src/Papers/skiena_2008_the algorithm design manual.pdf}
}

@article{smink2012epidemiology,
  title = {Epidemiology of Eating Disorders: Incidence, Prevalence and Mortality Rates},
  author = {Smink, Frédérique RE and Van Hoeken, Daphne and Hoek, Hans W},
  date = {2012},
  journaltitle = {Curr. Psychiatry Rep.},
  volume = {14},
  number = {4},
  pages = {406--414},
  publisher = {{Springer}}
}

@article{smithEnvironmentalContextHuman1978,
  title = {Environmental Context and Human Memory},
  author = {Smith, Steven M. and Glenberg, Arthur and Bjork, Robert A.},
  date = {1978-07},
  journaltitle = {Memory \& Cognition},
  volume = {6},
  number = {4},
  pages = {342--353},
  issn = {0090-502X, 1532-5946},
  doi = {10.3758/BF03197465},
  langid = {english},
  file = {/home/src/Offline/Papers/smith et al_1978_environmental context and human memory.pdf}
}

@article{smithRoleHypothalamicpituitaryadrenalAxis2006,
  title = {The Role of the Hypothalamic-Pituitary-Adrenal Axis in Neuroendocrine Responses to Stress},
  author = {Smith, Sean M. and Vale, Wylie W.},
  date = {2006-12},
  journaltitle = {Dialogues Clin Neurosci},
  volume = {8},
  number = {4},
  eprint = {17290797},
  eprinttype = {pmid},
  pages = {383--395},
  issn = {1294-8322},
  url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3181830/},
  urldate = {2020-05-04},
  abstract = {Animals respond to stress by activating a wide array of behavioral and physiological responses that are collectively referred to as the stress response. Corticotropin-releasing factor (CRF) plays a central role in the stress response by regulating the hypothalamic-pituitary-adrenal (HPA) axis. In response to stress, CRF initiates a cascade of events that culminate in the release of glucocorticoids from the adrenal cortex. As a result of the great number of physiological and behavioral effects exerted by glucocorticoids, several mechanisms have evolved to control HPA axis activation and integrate the stress response. Glucocorticoid feedback inhibition plays a prominent role in regulating the magnitude and duration of glucocorticoid release. In addition to glucocorticoid feedback, the HPA axis is regulated at the level of the hypothalamus by a diverse group of afferent projections from limbic, mid-brain, and brain stem nuclei. The stress response is also mediated in part by brain stem noradrenergic neurons, sympathetic andrenornedullary circuits, and parasympathetic systems. In summary, the aim of this review is to discuss the role of the HPA axis in the integration of adaptive responses to stress. We also identify and briefly describe the major neuronal and endocrine systems that contribute to the regulation of the HPA axis and the maintenance of homeostasis in the face of aversive stimuli.},
  pmcid = {PMC3181830},
  file = {/home/src/Offline/Papers/smith_vale_2006_the role of the hypothalamic-pituitary-adrenal axis in neuroendocrine responses.pdf}
}

@article{society2012publication,
  title = {Publication Recommendations for Electrodermal Measurements},
  author = {Measures, Society for Psychophysiological Research Ad Hoc Committee on Electrodermal and Boucsein, Wolfram and Fowles, Don C and Grimnes, Sverre and Ben-Shakhar, Gershon and Roth, Walton T and Dawson, Michael E and Filion, Diane L},
  date = {2012},
  journaltitle = {Psychophysiology},
  volume = {49},
  number = {8},
  pages = {1017--1034},
  publisher = {{Wiley Online Library}}
}

@article{solis2020structural,
  title = {Structural Vulnerability in the United States Revealed in Three Waves of Novel Coronavirus Disease (Covid-19)},
  author = {Solis, Jamie and Franco-Paredes, Carlos and Henao-Martínez, Andrés F and Krsak, Martin and Zimmer, Shanta M},
  date = {2020},
  journaltitle = {Am. J. Trop. Med. Hyg.},
  pages = {tpmd200391},
  publisher = {{ASTMH}}
}

@online{SpacingEffect2020,
  title = {Spacing {{Effect}}},
  date = {2020},
  organization = {{Spacing Effect}},
  file = {/home/src/Offline/Papers/2020_spacing effect.pdf}
}

@movie{spielbergSchindlerList1993,
  type = {Biography, Drama, History},
  title = {Schindler's {{List}}},
  editor = {Spielberg, Steven},
  date = {1993-12-15},
  publisher = {{Universal Pictures,  Amblin Entertainment}},
  abstract = {Schindler's List is a movie starring Liam Neeson, Ralph Fiennes, and Ben Kingsley. In German-occupied Poland during World War II, industrialist Oskar Schindler gradually becomes concerned for his Jewish workforce after witnessing...},
  editora = {Keneally, Thomas and Zaillian, Steven and Neeson, Liam and Fiennes, Ralph and Kingsley, Ben and Goodall, Caroline},
  editoratype = {scriptwriter},
  editortype = {director},
  keywords = {accountant,champagne,soap,villa,womanizer},
  annotation = {IMDb ID: tt0108052 event-location: USA}
}

@article{spong2018improving,
  title = {Improving Public Health Requires Inclusion of Underrepresented Populations in Research},
  author = {Spong, Catherine Y and Bianchi, Diana W},
  date = {2018},
  journaltitle = {Jama},
  volume = {319},
  number = {4},
  pages = {337--338},
  publisher = {{American Medical Association}}
}

@inproceedings{sriprakashQuestionsRaceEducation2018,
  title = {Questions of {{Race}} in {{Education}} and {{Development}}},
  author = {Sriprakash, Arathi and Walker, Sharon},
  date = {2018},
  location = {{University of Cambridge, UK}},
  eventtitle = {Questions of {{Race}} in {{Education}} and {{Development Workshop}}}
}

@article{stacey2017using,
  title = {Using {{EHR}} Data Extraction to Streamline the Clinical Trial Process},
  author = {Stacey, J and Mehta, M},
  date = {2017},
  journaltitle = {Clin. Res.},
  volume = {4},
  pages = {2--7}
}

@article{stang2010advancing,
  title = {Advancing the Science for Active Surveillance: Rationale and Design for the {{Observational Medical Outcomes Partnership}}},
  author = {Stang, Paul E and Ryan, Patrick B and Racoosin, Judith A and Overhage, J Marc and Hartzema, Abraham G and Reich, Christian and Welebob, Emily and Scarnecchia, Thomas and Woodcock, Janet},
  date = {2010},
  journaltitle = {Ann. Intern. Med.},
  volume = {153},
  number = {9},
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@article{stapff2017use,
  title = {Use of Electronic Health Data in Clinical Development},
  author = {Stapff, Manfred},
  date = {2017},
  journaltitle = {Pharm. Ind},
  volume = {79},
  number = {2},
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}

@online{StatementSecondMeeting,
  title = {Statement on the Second Meeting of the {{International Health Regulations}} (2005) {{Emergency Committee}} Regarding the Outbreak of Novel Coronavirus (2019-{{nCoV}})},
  url = {https://www.who.int/news-room/detail/30-01-2020-statement-on-the-second-meeting-of-the-international-health-regulations-(2005)-emergency-committee-regarding-the-outbreak-of-novel-coronavirus-(2019-ncov)},
  urldate = {2020-03-10},
  abstract = {Following the advice of the Emergency Committee today, WHO Director-General has declared the outbreak of novel coronavirus (2019-nCoV) a Public Health Emergency of International Concern. In China, more than 7700 cases have been confirmed, and 170 people have died. There are 82 additional cases confirmed in 18 countries.},
  langid = {english},
  file = {/home/cedarprince/Zotero/storage/J4KLY3YX/30-01-2020-statement-on-the-second-meeting-of-the-international-health-regulations-(2005)-emerg.html}
}

@article{steptoe2002role,
  title = {The Role of Psychobiological Pathways in Socio-Economic Inequalities in Cardiovascular Disease Risk},
  author = {Steptoe, Andrew and Marmot, Michael},
  date = {2002},
  journaltitle = {Eur. Heart J.},
  volume = {23},
  number = {1},
  pages = {13--25},
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}

@article{steptoe2002stress,
  title = {Stress Responsivity and Socioeconomic Status. {{A}} Mechanism for Increased Cardiovascular Disease Risk?},
  author = {Steptoe, Andrew and Feldman, Pamela J and Kunz, Sabine and Owen, Natalie and Willemsen, Gonneke and Marmot, Michael},
  date = {2002},
  journaltitle = {Eur. Heart J.},
  volume = {23},
  number = {22},
  pages = {1757--1763},
  publisher = {{Oxford University Press}}
}

@article{stickgold2000visual,
  title = {Visual Discrimination Learning Requires Sleep after Training},
  author = {Stickgold, Robert and James, LaTanya and Hobson, J Allan},
  date = {2000},
  journaltitle = {Nat. Neurosci.},
  volume = {3},
  number = {12},
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}

@book{strangIntroductionLinearAlgebra2016,
  title = {Introduction to {{Linear Algebra}}},
  author = {Strang, Gilbert},
  date = {2016},
  edition = {5},
  publisher = {{Wellesey - Cambridge Press}},
  langid = {english},
  file = {/home/src/Papers/strang_2016_introduction to linear algebra.pdf}
}

@article{strouxMHealthMonitoringSystem2016,
  title = {An {{mHealth}} Monitoring System for Traditional Birth Attendant-Led Antenatal Risk Assessment in Rural {{Guatemala}}},
  author = {Stroux, Lisa and Martinez, Boris and Coyote Ixen, Enma and King, Nora and Hall-Clifford, Rachel and Rohloff, Peter and Clifford, Gari D.},
  date = {2016-11-16},
  journaltitle = {J. Med. Eng. Technol.},
  volume = {40},
  number = {7-8},
  pages = {356--371},
  issn = {0309-1902, 1464-522X},
  doi = {10.1080/03091902.2016.1223196},
  abstract = {Limited funding for medical technology, low levels of education and poor infrastructure for delivering and maintaining technology severely limit medical decision support in low- and middle-income countries. Perinatal and maternal mortality is of particular concern with millions dying every year from potentially treatable conditions. Guatemala has one of the worst maternal mortality ratios, the highest incidence of intra-uterine growth restriction (IUGR), and one of the lowest gross national incomes per capita within Latin America. To address the lack of decision support in rural Guatemala, a smartphone-based system is proposed including peripheral sensors, such as a handheld Doppler for the identification of foetal compromise. Designed for use by illiterate birth attendants, the system uses pictograms, audio guidance, local and cloud processing, SMS alerts and voice calling. The initial prototype was evaluated on 22 women in highland Guatemala. Results were fed back into the refinement of the system, currently undergoing RCT evaluation.},
  langid = {english},
  keywords = {cliffordlab,guatemala,LMIC,maternal-health,mHealth,technology},
  file = {/home/cedarprince/Zotero/storage/5GBKHQHF/Stroux et al. - 2016 - An mHealth monitoring system for traditional birth.pdf;/home/src/Offline/Papers/stroux et al_2016_an mhealth monitoring system for traditional birth attendant-led antenatal risk.pdf}
}

@article{stuss1995multidisciplinary,
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  publisher = {{New York Academy of Sciences}}
}

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}

@book{sullivan2006revealing,
  title = {Revealing Whiteness: {{The}} Unconscious Habits of Racial Privilege},
  author = {Sullivan, Shannon},
  date = {2006},
  publisher = {{Indiana University Press}}
}

@article{tagliazucchi2011spontaneous,
  title = {Spontaneous {{BOLD}} Event Triggered Averages for Estimating Functional Connectivity at Resting State},
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@article{tagliazucchi2012criticality,
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}

@inproceedings{taylorAutomaticIdentificationArtifacts2015,
  title = {Automatic Identification of Artifacts in Electrodermal Activity Data},
  booktitle = {2015 37th {{Annual International Conference}} of the {{IEEE Engineering}} in {{Medicine}} and {{Biology Society}} ({{EMBC}})},
  author = {Taylor, Sara and Jaques, Natasha and {Weixuan Chen} and Fedor, Szymon and Sano, Akane and Picard, Rosalind},
  date = {2015-08},
  pages = {1934--1937},
  publisher = {{IEEE}},
  location = {{Milan}},
  doi = {10.1109/EMBC.2015.7318762},
  abstract = {Recently, wearable devices have allowed for long term, ambulatory measurement of electrodermal activity (EDA). Despite the fact that ambulatory recording can be noisy, and recording artifacts can easily be mistaken for a physiological response during analysis, to date there is no automatic method for detecting artifacts. This paper describes the development of a machine learning algorithm for automatically detecting EDA artifacts, and provides an empirical evaluation of classification performance. We have encoded our results into a freely available web-based tool for artifact and peak detection.},
  eventtitle = {2015 37th {{Annual International Conference}} of the {{IEEE Engineering}} in {{Medicine}} and {{Biology Society}} ({{EMBC}})},
  isbn = {978-1-4244-9271-8},
  langid = {english},
  file = {/home/src/Offline/Papers/taylor et al_2015_automatic identification of artifacts in electrodermal activity data.pdf}
}

@online{theapachesoftwarefoundationApacheArrow,
  title = {Apache {{Arrow}}},
  author = {{The Apache Software Foundation}},
  url = {https://arrow.apache.org/},
  urldate = {2020-12-07},
  abstract = {A cross-language development platform for in-memory analytics},
  langid = {american},
  organization = {{Apache Arrow}},
  file = {/home/cedarprince/Zotero/storage/MI74ZVWK/arrow.apache.org.html}
}

@online{thecenterfordiscoveryCenterDiscovery,
  title = {The {{Center For Discovery}}},
  author = {{The Center For Discovery}},
  url = {https://thecenterfordiscovery.org/},
  urldate = {2020-04-28},
  abstract = {At The Center for Discovery, what happens here matters everywhere.},
  langid = {american},
  organization = {{The Center For Discovery}},
  file = {/home/cedarprince/Zotero/storage/L2GLPDPR/about-us.html}
}

@report{thewhitehousePresidentBidenAnnounces2021,
  title = {President {{Biden Announces Members}} of the {{Biden-Harris Administration COVID-19 Health Equity Task Force}}},
  author = {{The White House}},
  date = {2021-02-10},
  institution = {{The White House}},
  location = {{Washington DC}},
  url = {https://www.whitehouse.gov/briefing-room/press-briefings/2021/02/10/president-biden-announces-members-of-the-biden-harris-administration-covid-19-health-equity-task-force/},
  urldate = {2021-05-20}
}

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}

@article{tibbetts2021week,
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  date = {2021},
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}

@article{tom2015innovative,
  title = {Innovative Technological Approach to {{Ebola}} Virus Disease Outbreak Response in {{Nigeria}} Using the Open Data Kit and Form Hub Technology},
  author = {Tom-Aba, Daniel and Olaleye, Adeniyi and Olayinka, Adebola Tolulope and Nguku, Patrick and Waziri, Ndadilnasiya and Adewuyi, Peter and Adeoye, Olawunmi and Oladele, Saliu and Adeseye, Aderonke and Oguntimehin, Olukayode and others},
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}

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@article{turkIntellectualDevelopmentalDisability2020,
  title = {Intellectual and Developmental Disability and {{COVID-19}} Case-Fatality Trends: {{TriNetX}} Analysis},
  shorttitle = {Intellectual and Developmental Disability and {{COVID-19}} Case-Fatality Trends},
  author = {Turk, Margaret A. and Landes, Scott D. and Formica, Margaret K. and Goss, Katherine D.},
  date = {2020-05},
  journaltitle = {Disability and Health Journal},
  pages = {100942},
  issn = {19366574},
  doi = {10.1016/j.dhjo.2020.100942},
  abstract = {Background: Despite possibly higher risk of severe outcomes from COVID-19 among people with intellectual and developmental disabilities (IDD), there has been limited reporting of COVID-19 trends for this population. Objective: To compare COVID-19 trends among people with and without IDD, overall and stratified by age. Methods: Data from the TriNetX COVID-19 Research Network platform was used to identify COVID-19 patients. Analysis focused on trends in comorbidities, number of cases, number of deaths, and casefatality rate among patients with and without IDD who had a positive diagnosis for COVID-19 through May 14, 2020. Results: People with IDD had higher prevalence of specific comorbidities associated with poorer COVID19 outcomes. Distinct age-related differences in COVID-19 trends were present among those with IDD, with a higher concentration of COVID-19 cases at younger ages. In addition, while the overall casefatality rate was similar for those with IDD (5.1\%) and without IDD (5.4\%), these rates differed by age: ages  17 e IDD 1.6\%, without IDD {$<$}0.01\%; ages 18e74 e IDD 4.5\%, without IDD 2.7\%; ages  75e IDD 21.1\%, without IDD, 20.7\%. Conclusions: Though of concern for all individuals, COVID-19 appears to present a greater risk to people with IDD, especially at younger ages. Future research should seek to document COVID-19 trends among people with IDD, with particular attention to age related trends.},
  langid = {english},
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}

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}

@article{twengeUnderestimatingDigitalMedia2020,
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  langid = {english},
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}

@article{twengeWhyIncreasesAdolescent2020,
  title = {Why Increases in Adolescent Depression May Be Linked to the Technological Environment},
  author = {Twenge, Jean M},
  date = {2020},
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}

@misc{u.s.foodanddrugadministrationRealWorldEvidence2021,
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  author = {{U.S. Food and Drug Administration}},
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@online{unitedstatescensusbureauPopulationClock,
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}

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  abstract = {Letter from nearly 300 academics argues against a rapid rollout that could undermine public trust},
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}

@article{von2001effects,
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@online{w3cRDFConceptsAbstract,
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}

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@patent{werbAssetPersonnelTagging2004,
  type = {patentus},
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  author = {Werb, Jay and Underriner, Kevin and Long, Martin},
  holder = {{RF Technologies Inc}},
  date = {2004-03-02},
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  url = {https://patents.google.com/patent/US6700533B1/en},
  urldate = {2020-04-21},
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}

@video{wesmckinneyApacheArrowFuture2020,
  title = {Apache {{Arrow}} and the {{Future}} of {{Data Frames}}},
  editor = {{Wes McKinney}},
  date = {2020},
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  editortype = {director}
}

@online{WhenStateFails,
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  shorttitle = {When the {{State Fails}}},
  url = {https://law.yale.edu/yls-today/news/when-state-fails-maternal-mortality-and-racial-disparity-georgia},
  urldate = {2018-05-28},
  abstract = {The Global Health Justice Partnership released a report asserting that Georgia is failing its obligations to women by perpetuating a maternal mortality crisis disproportionally impacting Black women.},
  langid = {english},
  keywords = {african-american,discrimination,georgia,maternal-mortality,racism,us},
  file = {/home/jacob/Papers/When the State Fails Maternal Mortality and Racia.pdf;/home/cedarprince/Zotero/storage/8UCBC4E4/when-state-fails-maternal-mortality-and-racial-disparity-georgia.html}
}

@online{WHODirectorGeneralOpening,
  title = {{{WHO Director-General}}'s Opening Remarks at the Media Briefing on {{COVID-19}} - 11 {{March}} 2020},
  url = {https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020},
  urldate = {2020-03-15},
  langid = {english},
  file = {/home/cedarprince/Zotero/storage/LYM2L95W/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020.html}
}

@book{wickham2019advanced,
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  date = {2006},
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}

@article{wiki:xxx,
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  author = {{Wikipedia contributors}},
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}

@article{wikipediacontributorsDynamicFunctionalConnectivity2020,
  title = {Dynamic {{Functional Connectivity}} — {{Wikipedia}}, {{The Free Encyclopedia}}},
  author = {{Wikipedia contributors}},
  date = {2020},
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}

@inreference{wikipediacontributorsEventRelatedPotential2020,
  title = {Event {{Related Potential}}},
  author = {{Wikipedia contributors}},
  date = {2020},
  langid = {english},
  keywords = {Evoked Potentials,Evoked potentials (Electrophysiology)},
  annotation = {OCLC: ocm57574045},
  file = {/home/src/Papers/wikipedia contributors_2020_event related potential.pdf}
}

@article{wilhelm1996ambulatory,
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@article{wilhelm1998taking,
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}

@article{wilkinsonFAIRGuidingPrinciples2016,
  title = {The {{FAIR Guiding Principles}} for Scientific Data Management and Stewardship},
  author = {Wilkinson, Mark D. and Dumontier, Michel and Aalbersberg, IJsbrand Jan and Appleton, Gabrielle and Axton, Myles and Baak, Arie and Blomberg, Niklas and Boiten, Jan-Willem and da Silva Santos, Luiz Bonino and Bourne, Philip E. and Bouwman, Jildau and Brookes, Anthony J. and Clark, Tim and Crosas, Mercè and Dillo, Ingrid and Dumon, Olivier and Edmunds, Scott and Evelo, Chris T. and Finkers, Richard and Gonzalez-Beltran, Alejandra and Gray, Alasdair J.G. and Groth, Paul and Goble, Carole and Grethe, Jeffrey S. and Heringa, Jaap and ’t Hoen, Peter A.C and Hooft, Rob and Kuhn, Tobias and Kok, Ruben and Kok, Joost and Lusher, Scott J. and Martone, Maryann E. and Mons, Albert and Packer, Abel L. and Persson, Bengt and Rocca-Serra, Philippe and Roos, Marco and van Schaik, Rene and Sansone, Susanna-Assunta and Schultes, Erik and Sengstag, Thierry and Slater, Ted and Strawn, George and Swertz, Morris A. and Thompson, Mark and van der Lei, Johan and van Mulligen, Erik and Velterop, Jan and Waagmeester, Andra and Wittenburg, Peter and Wolstencroft, Katherine and Zhao, Jun and Mons, Barend},
  options = {useprefix=true},
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  journaltitle = {Sci Data},
  volume = {3},
  number = {1},
  pages = {160018},
  issn = {2052-4463},
  doi = {10.1038/sdata.2016.18},
  langid = {english},
  file = {/home/src/Papers/wilkinson et al_2016_the fair guiding principles for scientific data management and stewardship.pdf}
}

@article{wilson2020these,
  title = {These Graphs Show How {{COVID-19}} Is Ravaging {{New York City}}’s Low-Income Neighborhoods},
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  date = {2020},
  journaltitle = {Time}
}

@report{wong2021behavioral,
  title = {The Behavioral Health of Minority Active Duty Service Members},
  author = {Wong, Eunice C and Meadows, Sarah O and Schell, Terry L and Chan, Wing Y and Jaycox, Lisa H and Osilla, Karen C and Schuler, Megan S and Roth, Elizabeth},
  date = {2021},
  institution = {{RAND CORP SANTA MONICA CA}}
}

@article{woodmanBriefIntroductionUse2010,
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  volume = {72},
  number = {8},
  pages = {2031--2046},
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  doi = {10.3758/BF03196680},
  abstract = {Due to the precise temporal resolution of electrophysiological recordings, the event-related potential (ERP) technique has proven particularly valuable for testing theories of perception and attention. Here, I provide a brief tutorial of the ERP technique for consumers of such research and those considering the use of human electrophysiology in their own work. My discussion begins with the basics regarding what brain activity ERPs measure and why they are well suited to reveal critical aspects of perceptual processing, attentional selection, and cognition that are unobservable with behavioral methods alone. I then review a number of important methodological issues and often forgotten facts that should be considered when evaluating or planning ERP experiments.},
  langid = {english},
  file = {/home/src/Papers/woodman_2010_a brief introduction to the use of event-related potentials in studies of.pdf}
}

@article{wordenAnticipatoryBiasingVisuospatial2000,
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}

@report{worldhealthorganizationCOVID19StrategyUpdate2020,
  title = {{{COVID-19 Strategy Update}}},
  shorttitle = {{{COVID-19 Strategy Update}}},
  author = {{World Health Organization}},
  date = {2020-04-14},
  institution = {{World Health Organization}},
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  urldate = {2020-11-09},
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}

@article{xuAntiBiofoulingStrategiesLongTerm2020,
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  journaltitle = {Chemosensors},
  volume = {8},
  number = {3},
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  abstract = {The growing trend for personalized medicine calls for more reliable implantable biosensors that are capable of continuously monitoring target analytes for extended periods (i.e., {$>$}30 d). While promising biosensors for various applications are constantly being developed in the laboratories across the world, many struggle to maintain reliable functionality in complex in vivo environments over time. In this review, we explore the impact of various biotic and abiotic failure modes on the reliability of implantable biosensors. We discuss various design considerations for the development of chronically reliable implantable biosensors with a specific focus on strategies to combat biofouling, which is a fundamental challenge for many implantable devices. Briefly, we introduce the process of the foreign body response and compare the in vitro and the in vivo performances of state-of-the-art implantable biosensors. We then discuss the latest development in material science to minimize and delay biofouling including the usage of various hydrophilic, biomimetic, drug-eluting, zwitterionic, and other smart polymer materials. We also explore a number of active anti-biofouling approaches including stimuli-responsive materials and mechanical actuation. Finally, we conclude this topical review with a discussion on future research opportunities towards more reliable implantable biosensors.},
  langid = {english},
  file = {/home/cedarprince/Zotero/storage/ATG4Q7XJ/Xu and Lee - 2020 - Anti-Biofouling Strategies for Long-Term Continuou.pdf}
}

@article{yancy2020covid,
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}

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}

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@book{youngUltralearning2019,
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  author = {Young, Scott},
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  publisher = {{HarperCollins Publishers}},
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}

@online{zelkoImplementingMarchingSquares2020,
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  date = {2020-12-01},
  url = {http://jacobzelko.com/marching-squares/},
  organization = {{The Cedar Ledge}}
}

@article{zheng2020covid,
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  number = {5},
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  publisher = {{Nature Publishing Group}}
}

@article{zinzow2012connecting,
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  number = {8},
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}

@article{zlotnick1999clinical,
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@online{zotero-1378,
  title = {About},
  url = {https://www.memrise.com/about/},
  urldate = {2020-06-07},
  langid = {english},
  organization = {{Memrise}},
  file = {/home/cedarprince/Zotero/storage/J9TWYPH3/about.html}
}