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Institution

Brigham Young University

EducationProvo, Utah, United States
About: Brigham Young University is a education organization based out in Provo, Utah, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 21087 authors who have published 38643 publications receiving 1237985 citations. The organization is also known as: BYU & The Y.


Papers
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Journal ArticleDOI
TL;DR: Overall, the influence of both objective and subjective social isolation on risk for mortality is comparable with well-established risk factors for mortality.
Abstract: Actual and perceived social isolation are both associated with increased risk for early mortality. In this meta-analytic review, our objective is to establish the overall and relative magnitude of social isolation and loneliness and to examine possible moderators. We conducted a literature search of studies (January 1980 to February 2014) using MEDLINE, CINAHL, PsycINFO, Social Work Abstracts, and Google Scholar. The included studies provided quantitative data on mortality as affected by loneliness, social isolation, or living alone. Across studies in which several possible confounds were statistically controlled for, the weighted average effect sizes were as follows: social isolation odds ratio (OR) = 1.29, loneliness OR = 1.26, and living alone OR = 1.32, corresponding to an average of 29%, 26%, and 32% increased likelihood of mortality, respectively. We found no differences between measures of objective and subjective social isolation. Results remain consistent across gender, length of follow-up, and world region, but initial health status has an influence on the findings. Results also differ across participant age, with social deficits being more predictive of death in samples with an average age younger than 65 years. Overall, the influence of both objective and subjective social isolation on risk for mortality is comparable with well-established risk factors for mortality.

3,157 citations

Journal ArticleDOI
TL;DR: Theoretical results regarding consensus-seeking under both time invariant and dynamically changing communication topologies are summarized in this paper, where several specific applications of consensus algorithms to multivehicle coordination are described.
Abstract: The purpose of this article is to provide a tutorial overview of information consensus in multivehicle cooperative control. Theoretical results regarding consensus-seeking under both time invariant and dynamically changing communication topologies are summarized. Several specific applications of consensus algorithms to multivehicle coordination are described

3,028 citations

Journal ArticleDOI
Denise Harold1, Richard Abraham2, Paul Hollingworth2, Rebecca Sims2, Amy Gerrish2, Marian L. Hamshere3, Jaspreet Singh Pahwa2, Valentina Moskvina2, Kimberley Dowzell2, Amy L. Williams2, Nicola L. Jones2, Charlene Thomas2, Alexandra Stretton2, Angharad R. Morgan2, Simon Lovestone4, John Powell5, Petroula Proitsi5, Michelle K. Lupton5, Carol Brayne6, David C. Rubinsztein7, Michael Gill6, Brian A. Lawlor6, Aoibhinn Lynch6, Kevin Morgan8, Kristelle Brown8, Peter Passmore9, David Craig9, Bernadette McGuinness9, Stephen Todd9, Clive Holmes10, David M. A. Mann11, A. David Smith12, Seth Love3, Patrick G. Kehoe3, John Hardy, Simon Mead13, Nick C. Fox13, Martin N. Rossor13, John Collinge13, Wolfgang Maier14, Frank Jessen14, Britta Schürmann14, Hendrik van den Bussche15, Isabella Heuser16, Johannes Kornhuber17, Jens Wiltfang18, Martin Dichgans19, Lutz Frölich20, Harald Hampel19, Harald Hampel21, Michael Hüll22, Dan Rujescu19, Alison Goate23, John S. K. Kauwe24, Carlos Cruchaga23, Petra Nowotny23, John C. Morris23, Kevin Mayo23, Kristel Sleegers25, Karolien Bettens25, Sebastiaan Engelborghs25, Peter Paul De Deyn25, Christine Van Broeckhoven25, Gill Livingston26, Nicholas Bass26, Hugh Gurling26, Andrew McQuillin26, Rhian Gwilliam27, Panagiotis Deloukas27, Ammar Al-Chalabi28, Christopher Shaw28, Magda Tsolaki29, Andrew B. Singleton30, Rita Guerreiro30, Thomas W. Mühleisen14, Markus M. Nöthen14, Susanne Moebus18, Karl-Heinz Jöckel18, Norman Klopp, H-Erich Wichmann19, Minerva M. Carrasquillo31, V. Shane Pankratz31, Steven G. Younkin31, Peter Holmans2, Michael Conlon O'Donovan2, Michael John Owen2, Julie Williams2 
TL;DR: A two-stage genome-wide association study of Alzheimer's disease involving over 16,000 individuals, the most powerful AD GWAS to date, produced compelling evidence for association with Alzheimer's Disease in the combined dataset.
Abstract: We undertook a two-stage genome-wide association study (GWAS) of Alzheimer's disease (AD) involving over 16,000 individuals, the most powerful AD GWAS to date. In stage 1 (3,941 cases and 7,848 controls), we replicated the established association with the apolipoprotein E (APOE) locus (most significant SNP, rs2075650, P = 1.8 10-157) and observed genome-wide significant association with SNPs at two loci not previously associated with the disease: at the CLU (also known as APOJ) gene (rs11136000, P = 1.4 10-9) and 5' to the PICALM gene (rs3851179, P = 1.9 10-8). These associations were replicated in stage 2 (2,023 cases and 2,340 controls), producing compelling evidence for association with Alzheimer's disease in the combined dataset (rs11136000, P = 8.5 10-10, odds ratio = 0.86; rs3851179, P = 1.3 10-9, odds ratio = 0.86).

2,956 citations

Journal Article
TL;DR: Python is an excellent "steering" language for scientific codes written in other languages, but with additional basic tools, it transforms into a high-level language suited for scientific and engineering code that's often fastenough to be immediately useful but also flexible enough to be sped up with additional extensions.
Abstract: Python is an excellent "steering" language for scientific codes written in other languages. However, with additional basic tools, Python transforms into a high-level language suited for scientific and engineering code that's often fast enough to be immediately useful but also flexible enough to be sped up with additional extensions.

2,841 citations

Journal ArticleDOI
TL;DR: Fine particulate air pollution is a risk factor for cause-specific cardiovascular disease mortality via mechanisms that likely include pulmonary and systemic inflammation, accelerated atherosclerosis, and altered cardiac autonomic function.
Abstract: Background— Epidemiologic studies have linked long-term exposure to fine particulate matter air pollution (PM) to broad cause-of-death mortality. Associations with specific cardiopulmonary diseases might be useful in exploring potential mechanistic pathways linking exposure and mortality. Methods and Results— General pathophysiological pathways linking long-term PM exposure with mortality and expected patterns of PM mortality with specific causes of death were proposed a priori. Vital status, risk factor, and cause-of-death data, collected by the American Cancer Society as part of the Cancer Prevention II study, were linked with air pollution data from United States metropolitan areas. Cox Proportional Hazard regression models were used to estimate PM-mortality associations with specific causes of death. Long-term PM exposures were most strongly associated with mortality attributable to ischemic heart disease, dysrhythmias, heart failure, and cardiac arrest. For these cardiovascular causes of death, a 10-...

2,530 citations


Authors

Showing all 21371 results

NameH-indexPapersCitations
Joel Schwartz1831149109985
Steven P. Gygi172704129173
Rajesh Kumar1494439140830
Majid Ezzati133443137171
Chi-Huey Wong129122066349
James H. Brown12542372040
John C. Gore12578468261
David J. Smith1252090108066
John A. Todd12151567413
Cass R. Sunstein11778757639
Enrico Gratton11585447170
Douglas S. Massey11338655101
Jeffery W. Kelly10842841240
Douglas W. Dockery10524457461
Michael R. Harrison10266336751
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202377
2022231
20211,623
20201,596
20191,500
20181,469