Institution
Brigham Young University
Education•Provo, 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.
Topics: Population, Poison control, Family life, Mental health, Supreme court
Papers published on a yearly basis
Papers
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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
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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
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Cardiff University1, Medical Research Council2, University of Bristol3, National Institute for Health Research4, King's College5, Trinity College, Dublin6, University of Cambridge7, University of Nottingham8, Queen's University Belfast9, University of Southampton10, University of Manchester11, John Radcliffe Hospital12, UCL Institute of Neurology13, University of Bonn14, University of Hamburg15, Charité16, University of Erlangen-Nuremberg17, University of Duisburg-Essen18, Ludwig Maximilian University of Munich19, Heidelberg University20, University College Dublin21, University of Freiburg22, Washington University in St. Louis23, Brigham Young University24, University of Antwerp25, University College London26, Wellcome Trust Sanger Institute27, King's College London28, Aristotle University of Thessaloniki29, National Institutes of Health30, Mayo Clinic31
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
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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
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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
Name | H-index | Papers | Citations |
---|---|---|---|
Joel Schwartz | 183 | 1149 | 109985 |
Steven P. Gygi | 172 | 704 | 129173 |
Rajesh Kumar | 149 | 4439 | 140830 |
Majid Ezzati | 133 | 443 | 137171 |
Chi-Huey Wong | 129 | 1220 | 66349 |
James H. Brown | 125 | 423 | 72040 |
John C. Gore | 125 | 784 | 68261 |
David J. Smith | 125 | 2090 | 108066 |
John A. Todd | 121 | 515 | 67413 |
Cass R. Sunstein | 117 | 787 | 57639 |
Enrico Gratton | 115 | 854 | 47170 |
Douglas S. Massey | 113 | 386 | 55101 |
Jeffery W. Kelly | 108 | 428 | 41240 |
Douglas W. Dockery | 105 | 244 | 57461 |
Michael R. Harrison | 102 | 663 | 36751 |