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Institution

University of North Carolina at Chapel Hill

EducationChapel Hill, North Carolina, United States
About: University of North Carolina at Chapel Hill is a education organization based out in Chapel Hill, North Carolina, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 81393 authors who have published 185327 publications receiving 9948508 citations. The organization is also known as: University of North Carolina & North Carolina.


Papers
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Journal ArticleDOI
28 May 2003-JAMA
TL;DR: Excess risk for all strokes attributed to estrogen plus progestin appeared to be present in all subgroups of women examined, and excess risk of all stroke was apparent in all age groups, in all categories of baseline stroke risk, and in women with and without hypertension, prior history of cardiovascular disease, use of hormones, statins, or aspirin.
Abstract: ContextThe Women's Health Initiative (WHI) trial of estrogen plus progestin was stopped early because of adverse effects, including an increased risk of stroke in the estrogen plus progestin group.ObjectiveTo assess the effect of estrogen plus progestin on ischemic and hemorrhagic stroke and in subgroups, and to determine whether the effect of estrogen plus progestin was modified by baseline levels of blood biomarkers.DesignMulticenter double-blind, placebo-controlled, randomized clinical trial involving 16 608 women aged 50 through 79 years with an average follow-up of 5.6 years. Baseline levels of blood-based markers of inflammation, thrombosis, and lipid levels were measured in the first 140 centrally confirmed stroke cases and 513 controls.InterventionsParticipants received 0.625 mg/d of conjugated equine estrogen plus 2.5 mg/d of medroxyprogesterone acetate (n = 8506) or placebo (n = 8102).Main Outcome MeasuresOverall strokes and stroke subtype and severity were centrally adjudicated by stroke neurologists.ResultsOne hundred fifty-one patients (1.8%) in the estrogen plus progestin and 107 (1.3%) in the placebo groups had strokes. Overall 79.8% of strokes were ischemic. For combined ischemic and hemorrhagic strokes, the intention-to-treat hazard ratio (HR) for estrogen plus progestin vs placebo was 1.31 (95% confidence interval [CI], 1.02-1.68); with adjustment for adherence, the HR was 1.50 (95% CI, 1.08-2.08). The HR for ischemic stroke was 1.44 (95% CI, 1.09-1.90) and for hemorrhagic stroke, 0.82 (95% CI, 0.43-1.56). Point estimates of the HRs indicate that excess risk of all stroke was apparent in all age groups, in all categories of baseline stroke risk, and in women with and without hypertension, prior history of cardiovascular disease, use of hormones, statins, or aspirin. Other risk factors for stroke, including smoking, blood pressure, diabetes, lower use of vitamin C supplements, blood-based biomarkers of inflammation, higher white blood cell count, and higher hematocrit levels did not modify the effect of estrogen plus progestin on stroke risk.ConclusionsEstrogen plus progestin increases the risk of ischemic stroke in generally healthy postmenopausal women. Excess risk for all strokes attributed to estrogen plus progestin appeared to be present in all subgroups of women examined.

1,052 citations

Proceedings ArticleDOI
10 Apr 2006
TL;DR: The MORPH dataset as discussed by the authors is a longitudinal face database developed for researchers investigating all facets of adult age-progression, e.g. face modeling, photo-realistic animation, face recognition, etc.
Abstract: This paper details MORPH a longitudinal face database developed for researchers investigating all facets of adult age-progression, e.g. face modeling, photo-realistic animation, face recognition, etc. This database contributes to several active research areas, most notably face recognition, by providing: the largest set of publicly available longitudinal images; longitudinal spans from a few months to over twenty years; and, the inclusion of key physical parameters that affect aging appearance. The direct contribution of this data corpus for face recognition is highlighted in the evaluation of a standard face recognition algorithm, which illustrates the impact that age-progression, has on recognition rates. Assessment of the efficacy of this algorithm is evaluated against the variables of gender and racial origin. This work further concludes that the problem of age-progression on face recognition (FR) is not unique to the algorithm used in this work.

1,051 citations

Journal ArticleDOI
TL;DR: This statement will attempt to harmonize the recommendations of both organizations where possible but will recognize areas in which AHA and ADA recommendations differ.
Abstract: The American Heart Association (AHA) and the American Diabetes Association (ADA) have each published guidelines for cardiovascular disease prevention: the ADA has issued separate recommendations for each of the cardiovascular risk factors in patients with diabetes, and the AHA has shaped primary and secondary guidelines that extend to patients with diabetes. This statement will attempt to harmonize the recommendations of both organizations where possible but will recognize areas in which AHA and ADA recommendations differ.

1,051 citations

Journal ArticleDOI
TL;DR: In this article, the authors present an integrative analytical framework that incorporates multidimensional constructs and their dimensions, using structural equation modeling with latent variables, which permits the study of broad questions regarding multiddimensional constructs along with specific questions concerning the dimensions of these constructs.
Abstract: Multidimensional constructs are widely used to represent several distinct dimensions as a single theoretical concept. The utility of multidimensional constructs relative to their dimensions has generated considerable debate, and this debate creates a dilemma for researchers who want the breadth and comprehensiveness of multidimensional constructs and the precision and clarity of their dimensions. To address this dilemma, this article presents an integrative analytical framework that incorporates multidimensional constructs and their dimensions, using structural equation modeling with latent variables. This framework permits the study of broad questions regarding multidimensional constructs along with specific questions concerning the dimensions of these constructs. The framework also provides tests of issues underlying the multidimensional construct debate, thereby allowing researchers to address these issues on a study-by-study basis. The framework is illustrated using data from studies of the effects of personality on responses to conflict and the effects of work attitudes on employee adaptation.

1,051 citations

Journal ArticleDOI
TL;DR: In this paper, the underlying principles of video and stereo video analysis as well as its automation are reviewed and accompanied by a fully functional and freely available software implementation, which can be used to automate the analysis.
Abstract: Researchers studying aspects of locomotion or movement in biological and biomimetic systems commonly use video or stereo video recordings to quantify the behaviour of the system in question, often with an emphasis on measures of position, velocity and acceleration. However, despite the apparent simplicity of video analysis, it can require substantial investment of time and effort, even when performed with adequate software tools. This paper reviews the underlying principles of video and stereo video analysis as well as its automation and is accompanied by fully functional and freely available software implementation.

1,049 citations


Authors

Showing all 82249 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
Salim Yusuf2311439252912
David J. Hunter2131836207050
Irving L. Weissman2011141172504
Eric J. Topol1931373151025
Dennis W. Dickson1911243148488
Scott M. Grundy187841231821
Peidong Yang183562144351
Patrick O. Brown183755200985
Eric Boerwinkle1831321170971
Alan C. Evans183866134642
Anil K. Jain1831016192151
Terrie E. Moffitt182594150609
Aaron R. Folsom1811118134044
Valentin Fuster1791462185164
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023311
20221,325
202110,885
20209,949
20199,108
20188,477