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.

What (and Why) Is Positive Psychology

Abstract: Positive psychology is the study of the conditions and processes that contribute to the flourishing or optimal functioning of people, groups, and institutions. In this brief introduction, the autho...

Credit Booms Gone Bust: Monetary Policy, Leverage Cycles and Financial Crises, 1870-2008

Abstract: The financial crisis has refocused attention on money and credit fluctuations, financial crises, and policy responses. We study the behavior of money, credit, and macroeconomic indicators over the long run based on a new historical dataset for 14 countries over the years 1870-2008. Total credit has increased strongly relative to output and money in the second half of the twentieth century. Monetary policy responses to financial crises have also been more aggressive, but the output costs of crises have remained large. Credit growth is a powerful predictor of financial crises, suggesting that policymakers ignore credit at their peril. (JEL E32, E44, E52, G01, N10, N20)

Electrical stimulation of the anterior nucleus of thalamus for treatment of refractory epilepsy

Abstract: Summary Purpose: We report a multicenter, double-blind, randomized trial of bilateral stimulation of the anterior nuclei of the thalamus for localization-related epilepsy Methods: Participants were adults with medically refractory partial seizures, including secondarily generalized seizures Half received stimulation and half no stimulation during a 3-month blinded phase; then all received unblinded stimulation Results: One hundred ten participants were randomized Baseline monthly median seizure frequency was 195 In the last month of the blinded phase the stimulated group had a 29% greater reduction in seizures compared with the control group, as estimated by a generalized estimating equations (GEE) model (p = 0002) Unadjusted median declines at the end of the blinded phase were 145% in the control group and 404% in the stimulated group Complex partial and “most severe” seizures were significantly reduced by stimulation By 2 years, there was a 56% median percent reduction in seizure frequency; 54% of patients had a seizure reduction of at least 50%, and 14 patients were seizure-free for at least 6 months Five deaths occurred and none were from implantation or stimulation No participant had symptomatic hemorrhage or brain infection Two participants had acute, transient stimulation-associated seizures Cognition and mood showed no group differences, but participants in the stimulated group were more likely to report depression or memory problems as adverse events Discussion: Bilateral stimulation of the anterior nuclei of the thalamus reduces seizures Benefit persisted for 2 years of study Complication rates were modest Deep brain stimulation of the anterior thalamus is useful for some people with medically refractory partial and secondarily generalized seizures

Affective Forecasting Knowing What to Want

Abstract: People base many decisions on affective forecasts, predictions about their emotional reactions to future events. They often display an impact bias, overestimating the intensity and duration of their emotional reactions to such events. One cause of the impact bias is focalism, the tendency to underestimate the extent to which other events will influence our thoughts and feelings. Another is people's failure to anticipate how quickly they will make sense of things that happen to them in a way that speeds emotional recovery. This is especially true when predicting reactions to negative events: People fail to anticipate how quickly they will cope psychologically with such events in ways that speed their recovery from them. Several implications are discussed, such as the tendency for people to attribute their unexpected resilience to external agents.

Security in wireless sensor networks

Abstract: They are susceptible to a variety of attacks, including node capture, physical tampering, and denial of service, while prompting a range of fundamental research challenges.