Entity

Time filter

Source Type

Diepenbeek, Belgium

Hasselt University is a university with campuses in Hasselt and Diepenbeek, Belgium. It was officially established in 1971, as the Limburgs Universitair Centrum . On June 15, 2005 the university changed its name to Hasselt University.Currently, the universities of Hasselt and Maastricht work together as the Transnational University Limburg . Together with Hogeschool PXL , it established the Limburg Association of Higher Education .The rector of the university currently is Prof. Luc de Schepper, the vice rectors are Prof. Paul Janssen and Prof. Jean-Michel Rigo. Wikipedia.


Esposito M.,Free University of Colombia | Van Den Broeck C.,Hasselt University
Physical Review Letters | Year: 2010

The total entropy production of a trajectory can be split into an adiabatic and a nonadiabatic contribution, deriving, respectively, from the breaking of detailed balance via nonequilibrium boundary conditions or by external driving. We show that each of them, the total, the adiabatic, and the nonadiabatic trajectory entropy, separately satisfies a detailed fluctuation theorem. © 2010 The American Physical Society. Source


Van Craen M.,Hasselt University
Justice Quarterly | Year: 2013

This article tests the contribution that social capital theory, performance theory, and the procedural justice-based model can make towards explaining the trust of majority and minority group members in the police. The central research questions are: (1) do the same factors determine their levels of trust? and (2) are the effects parallel? To answer these questions, we carried out regression analyses on data collected from majority and minority group members living in Belgium (960 face-to-face interviews). The results show that, although the three theories offer explanatory elements for members of both majority and minority groups, the explanation of their trust in the police is not identical. Implications for research and theorization are discussed. © 2013 Academy of Criminal Justice Sciences. Source


Egghe L.,Hasselt University
Journal of Informetrics | Year: 2012

End of 2011, the Journal of Informetrics (Elsevier) existed five years. We overview its scope, published articles (topics, co-authorship, authors' countries), editorial decisions, editorial and production times, impact factor and article downloads aspects. Finally we present a local citation environment map of JOI. © 2012 Elsevier Ltd. Source


Chronic heart failure (CHF) patients are frequently rehospitalized within 6 months after an episode of fluid retention. Rehospitalizations are preventable, but this requires an extensive organization of the healthcare system. In this study, we tested whether intensive follow-up of patients through a telemonitoring-facilitated collaboration between general practitioners (GPs) and a heart failure clinic could reduce mortality and rehospitalization rate. One hunderd and sixty CHF patients [mean age 76 ± 10 years, 104 males, mean left ventricular ejection fraction (LVEF) 35 ± 15%] were block randomized by sealed envelopes and assigned to 6 months of intense follow-up facilitated by telemonitoring (TM) or usual care (UC). The TM group measured body weight, blood pressure, and heart rate on a daily basis with electronic devices that transferred the data automatically to an online database. Email alerts were sent to the GP and heart failure clinic to intervene when pre-defined limits were exceeded. All-cause mortality was significantly lower in the TM group as compared with the UC group (5% vs. 17.5%, P = 0.01). The total number of follow-up days lost to hospitalization, dialysis, or death was significantly lower in the TM group as compared with the UC group (13 vs. 30 days, P = 0.02). The number of hospitalizations for heart failure per patient showed a trend (0.24 vs. 0.42 hospitalizations/patient, P = 0.06) in favour of TM. Telemonitoring-facilitated collaboration between GPs and a heart failure clinic reduces mortality and number of days lost to hospitalization, death, or dialysis in CHF patients. These findings need confirmation in a large trial. Source


Kicinski M.,Hasselt University
PLoS ONE | Year: 2013

Introduction: Positive results have a greater chance of being published and outcomes that are statistically significant have a greater chance of being fully reported. One consequence of research underreporting is that it may influence the sample of studies that is available for a meta-analysis. Smaller studies are often characterized by larger effects in published meta-analyses, which can be possibly explained by publication bias. We investigated the association between the statistical significance of the results and the probability of being included in recent meta-analyses. Methods: For meta-analyses of clinical trials, we defined the relative risk as the ratio of the probability of including statistically significant results favoring the treatment to the probability of including other results. For meta-analyses of other studies, we defined the relative risk as the ratio of the probability of including biologically plausible statistically significant results to the probability of including other results. We applied a Bayesian selection model for meta-analyses that included at least 30 studies and were published in four major general medical journals (BMJ, JAMA, Lancet, and PLOS Medicine) between 2008 and 2012. Results: We identified 49 meta-analyses. The estimate of the relative risk was greater than one in 42 meta-analyses, greater than two in 16 meta-analyses, greater than three in eight meta-analyses, and greater than five in four meta-analyses. In 10 out of 28 meta-analyses of clinical trials, there was strong evidence that statistically significant results favoring the treatment were more likely to be included. In 4 out of 19 meta-analyses of observational studies, there was strong evidence that plausible statistically significant outcomes had a higher probability of being included. Conclusions: Publication bias was present in a substantial proportion of large meta-analyses that were recently published in four major medical journals. © 2013 Michal Kicinski. Source

Discover hidden collaborations