University of Virginia

About: University of Virginia is a education organization based out in Charlottesville, Virginia, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 52543 authors who have published 113268 publications receiving 5220506 citations. The organization is also known as: U of V & UVa.

Classification of topological quantum matter with symmetries

Abstract: In recent years an increasing amount of attention has been devoted to quantum materials with topological characteristics that are robust against disorder and other perturbations. In this context it was discovered that topological materials can be classified with respect to their dimension and symmetry properties. This review provides an overview of the classification schemes of both fully gapped and gapless topological materials and gives a pedagogical introduction into the field of topological band theory.

STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies

Abstract: Incomplete reporting has been identified as a major source of avoidable waste in biomedical research. Essential information is often not provided in study reports, impeding the identification, critical appraisal, and replication of studies. To improve the quality of reporting of diagnostic accuracy studies, the Standards for Reporting Diagnostic Accuracy (STARD) statement was developed. Here we present STARD 2015, an updated list of 30 essential items that should be included in every report of a diagnostic accuracy study. This update incorporates recent evidence about sources of bias and variability in diagnostic accuracy and is intended to facilitate the use of STARD. As such, STARD 2015 may help to improve completeness and transparency in reporting of diagnostic accuracy studies.

Advanced spectral methods for climatic time series

Abstract: [1] The analysis of univariate or multivariate time series provides crucial information to describe, understand, and predict climatic variability. The discovery and implementation of a number of novel methods for extracting useful information from time series has recently revitalized this classical field of study. Considerable progress has also been made in interpreting the information so obtained in terms of dynamical systems theory. In this review we describe the connections between time series analysis and nonlinear dynamics, discuss signal-to-noise enhancement, and present some of the novel methods for spectral analysis. The various steps, as well as the advantages and disadvantages of these methods, are illustrated by their application to an important climatic time series, the Southern Oscillation Index. This index captures major features of interannual climate variability and is used extensively in its prediction. Regional and global sea surface temperature data sets are used to illustrate multivariate spectral methods. Open questions and further prospects conclude the review.

Use of carotid ultrasound to identify subclinical vascular disease and evaluate cardiovascular disease risk: a consensus statement from the American Society of Echocardiography Carotid Intima-Media Thickness Task Force. Endorsed by the Society for Vascular Medicine.

Abstract: Continuing Medical Education Course for "Use of Carotid Ultrasound to Identify Subclinical Vascular Disease and Evaluate Cardiovascular Disease Risk: A Consensus Statement for the American Society of Echocardiography Carotid Intima-Media Thickness Task Force" Accreditation Statement The American Society of Echocardiography is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The American Society of Echocardiography designates this educational activity for a maximum of 1 AMA PRA Category 1 Credits ™. Physicians should only claim credit commensurate with the extent of their participation in the activity. ARDMS and CCI recognize ASE's certificates and have agreed to honor the credit hours toward their registry requirements for sonographers. The American Society of Echocardiography is committed to resolving all conflict of interest issues, and its mandate is to retain only those speakers with financial interests that can be reconciled with the goals and educational integrity of the educational program. Disclosure of faculty and commercial support sponsor relationships, if any, have been indicated. Target Audience 1. Physicians, physicians' assistants, and nurses with an interest in cardiac and vascular imaging, preventive cardiology, and cardiovascular disease risk assessment. 2. Ultrasonographers with interest in vascular imaging and cardiovascular disease risk assessment. Objectives Upon completing this activity, participants will be able to: 1. Describe the rationale for using carotid ultrasound to identify subclinical vascular disease and to evaluate cardiovascular disease risk. 2. Explain the application of carotid ultrasound to cardiovascular disease risk assessment. 3. Describe the scanning technique for identifying subclinical vascular disease using carotid ultrasound. 4. Explain the key components of interpreting carotid ultrasound studies for cardiovascular disease risk assessment. Authors Disclosures James H. Stein, MD, FASE: Research grants: Siemens Medical Solutions, Sonosite Intellectual property: listed as the inventor of Patent #US 6,730,0235 "Ultrasonic Apparatus and Method for Providing Quantitative Indication of Risk of Coronary Heart Disease." It has been assigned to the Wisconsin Alumni Research Foundation. Emile R. Mohler III, MD: Speakers bureau for Merck, BMS-Sanofi and AstraZeneca; Research grant support from BMS-Sanofi, Pfizer and GSK. Christopher M. Rembold, MD: Advisory Board for Sonosite. Estimated Time to Complete This Activity: 1 hour

Classification and characterization of heterotrophic microbial communities on the basis of patterns of community-level sole-carbon-source utilization.

Abstract: The BLOLOG redox technology based on tetrazolium dye reduction as an indicator of sole-carbon-source utilization was evaluated as a rapid, community-level method to characterize and classify heterotrophic microbial communities. Direct incubation of whole environmental samples (aquatic, soil, and rhizosphere) in BIOLOG plates containing 95 separate carbon sources produced community-dependent patterns of sole-carbon-source utilization. Principal-component analysis of color responses quantified from digitized images of plates revealed distinctive patterns among microbial habitats and spatial gradients within soil and estuarine sites. Correlation of the original carbon source variables to the principal components gives a functional basis to distinctions among communities. Intensive spatial and temporal analysis of microbial communities with this technique can produce ecologically relevant classifications of heterotrophic microbial communities.