7 results match your criteria: "University of Carolina at Chapel Hill[Affiliation]"
J R Stat Soc Ser A Stat Soc
January 2025
Department of Sociology and Carolina Population Center, University of Carolina at Chapel Hill, 268 Hamilton Hall, Chapel Hill, NC 27516, USA.
Many population surveys do not provide information on respondents' residential addresses, instead offering coarse geographies like zip code or higher aggregations. However, fine resolution geography can be beneficial for characterizing neighbourhoods, especially for relatively rare populations such as immigrants. One way to obtain such information is to link survey records to records in auxiliary databases that include residential addresses by matching on variables common to both files.
View Article and Find Full Text PDFFront Glob Womens Health
June 2024
Division of General Internal Medicine, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, United States.
Introduction: Worldwide, over two-thirds of people living with HIV are on antiretroviral therapy (ART). Despite increased ART access, high virological suppression prevalence remains out of reach. Few studies consider the quality of ART services and their impact on recipients' viral suppression.
View Article and Find Full Text PDFEur Urol
April 2022
Department of Urology, University of Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address:
Front Bioeng Biotechnol
February 2021
Joint Department of Biomedical Engineering, University of Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, United States.
Over the past decade, advances in microfabrication and biomaterials have facilitated the development of microfluidic tissue and organ models to address challenges with conventional animal and cell culture systems. These systems have largely been developed for human disease modeling and preclinical drug development and have been increasingly used to understand cellular and molecular mechanisms, particularly in the cardiovascular system where the characteristic mechanics and architecture are difficult to recapitulate in traditional systems. Here, we review recent microfluidic approaches to model the cardiovascular system and novel insights provided by these systems.
View Article and Find Full Text PDFIEEE Trans Pattern Anal Mach Intell
December 2013
University of Carolina at Chapel Hill, Chapel Hill.
This paper addresses the problem of learning similarity-preserving binary codes for efficient similarity search in large-scale image collections. We formulate this problem in terms of finding a rotation of zero-centered data so as to minimize the quantization error of mapping this data to the vertices of a zero-centered binary hypercube, and propose a simple and efficient alternating minimization algorithm to accomplish this task. This algorithm, dubbed iterative quantization (ITQ), has connections to multiclass spectral clustering and to the orthogonal Procrustes problem, and it can be used both with unsupervised data embeddings such as PCA and supervised embeddings such as canonical correlation analysis (CCA).
View Article and Find Full Text PDFJ Bacteriol
January 2009
Department of Biology, University of Carolina at Chapel Hill, Chapel Hill, NC 27599-3280, USA.
Helicobacter pylori is a gram-negative pathogen that colonizes the stomachs of over half the world's population and causes a spectrum of gastric diseases including gastritis, ulcers, and gastric carcinoma. The H. pylori species exhibits unusually high levels of genetic variation between strains.
View Article and Find Full Text PDFJ Am Geriatr Soc
June 1998
Cecil G. Sheps Center for Health Services Research, Division of General Medicine and Clinical Epidemiology, School of Medicine, The University of Carolina at Chapel Hill, USA.
Objectives: To assess whether urinary incontinence (UI) and its severity are associated with poor self-rated health in a national sample of community-living older adults and whether this relationship persists after controlling for confounding attributable to functional status, comorbidity, and demographic factors.
Design: A cross-sectional analysis using multivariate logistic regression.
Setting: Subjects were from the 1990-1991 National Survey of Self-Care and Aging (N = 3485), a random sampling in geographic clusters of community-dwelling Medicare beneficiaries 65 years of age or older in the contiguous United States.