Institution
University of Virginia
Education•Charlottesville, Virginia, United States•
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.
Topics: Population, Poison control, Galaxy, Health care, Star formation
Papers published on a yearly basis
Papers
More filters
••
TL;DR: Local Anesthetics and the Inflammatory Response: A New Therapeutic Indication?
Abstract: Local Anesthetics and the Inflammatory Response: A New Therapeutic Indication? Markus Hollmann;Marcel Durieux; Anesthesiology
670 citations
••
Sadaf G. Sepanlou1, Saeid Safiri2, Catherine Bisignano3, Kevin S Ikuta4 +198 more•Institutions (106)
TL;DR: Mortality, prevalence, and DALY estimates are compared with those expected according to the Socio-demographic Index (SDI) as a proxy for the development status of regions and countries, and a significant increase in age-standardised prevalence rate of decompensated cirrhosis between 1990 and 2017.
670 citations
••
TL;DR: The authors examined the reliability and factorial validity of the Computer Attitude Scale and its three subscales (Computer Liking, Computer Confidence, and Computer Anxiety) with 155 eighth-through twelfth-grade students.
Abstract: As computer-related programs are introduced into school curricula, it is helpful to evaluate student attitudes which may affect the success of such programs This study, involving 155 eighth-through twelfth-grade students, examines the reliability and factorial validity of the Computer Attitude Scale and its three subscales (Computer Liking, Computer Confidence, and Computer Anxiety) The data suggest that this instrument is an effective, reliable, and convenient means of measuring student attitudes toward learning about and using computers
669 citations
••
TL;DR: A range of currently available early warning methods are summarized and applied to two simulated time series that are typical of systems undergoing a critical transition, offering a practical toolbox that may be used in a wide range of fields to help detect early warning signals of critical transitions in time series data.
Abstract: Many dynamical systems, including lakes, organisms, ocean circulation patterns, or financial markets, are now thought to have tipping points where critical transitions to a contrasting state can happen. Because critical transitions can occur unexpectedly and are difficult to manage, there is a need for methods that can be used to identify when a critical transition is approaching. Recent theory shows that we can identify the proximity of a system to a critical transition using a variety of so-called ‘early warning signals’, and successful empirical examples suggest a potential for practical applicability. However, while the range of proposed methods for predicting critical transitions is rapidly expanding, opinions on their practical use differ widely, and there is no comparative study that tests the limitations of the different methods to identify approaching critical transitions using time-series data. Here, we summarize a range of currently available early warning methods and apply them to two simulated time series that are typical of systems undergoing a critical transition. In addition to a methodological guide, our work offers a practical toolbox that may be used in a wide range of fields to help detect early warning signals of critical transitions in time series data.
669 citations
••
TL;DR: An overview of blood culture contamination is provided and the potential utility of a variety of approaches to improve both detection and prevention is described.
Abstract: Blood culture contamination represents an ongoing source of frustration for clinicians and microbiologists alike. Ambiguous culture results often lead to diagnostic uncertainty in clinical management and are associated with increased health care costs due to unnecessary treatment and testing. A variety of strategies have been investigated and employed to decrease contamination rates. In addition, numerous approaches to increase our ability to distinguish between clinically significant bacteremia and contamination have been explored. In recent years, there has been an increase in the application of computer-based tools to support infection control activities as well as provide clinical decision support related to the management of infectious diseases. Finally, new approaches for estimating bacteremia risk which have the potential to decrease unnecessary blood culture utilization have been developed and evaluated. In this review, we provide an overview of blood culture contamination and describe the potential utility of a variety of approaches to improve both detection and prevention. While it is clear that progress is being made, fundamental challenges remain.
669 citations
Authors
Showing all 53083 results
Name | H-index | Papers | Citations |
---|---|---|---|
Joan Massagué | 189 | 408 | 149951 |
Michael Rutter | 188 | 676 | 151592 |
Gordon B. Mills | 187 | 1273 | 186451 |
Ralph Weissleder | 184 | 1160 | 142508 |
Gonçalo R. Abecasis | 179 | 595 | 230323 |
Jie Zhang | 178 | 4857 | 221720 |
John R. Yates | 177 | 1036 | 129029 |
John A. Rogers | 177 | 1341 | 127390 |
Bradley Cox | 169 | 2150 | 156200 |
Mika Kivimäki | 166 | 1515 | 141468 |
Hongfang Liu | 166 | 2356 | 156290 |
Carl W. Cotman | 165 | 809 | 105323 |
Ralph A. DeFronzo | 160 | 759 | 132993 |
Elio Riboli | 158 | 1136 | 110499 |
Dan R. Littman | 157 | 426 | 107164 |