University of Luxembourg

About: University of Luxembourg is a education organization based out in Luxembourg, Luxembourg. It is known for research contribution in the topics: Population & European union. The organization has 4744 authors who have published 22175 publications receiving 381824 citations.

Responses of nociceptive SI neurons in monkeys and pain sensation in humans elicited by noxious thermal stimulation: effect of interstimulus interval

Abstract: 1. Twenty-six nociceptive neurons in the primary somatosensory cortex (SI) of anesthetized monkeys were responsive to noxious thermal stimulation applied to the face. Thermode temperature increased...

Advancing the Science of Collaborative Problem Solving

Abstract: Collaborative problem solving (CPS) has been receiving increasing international attention because much of the complex work in the modern world is performed by teams. However, systematic education a...

Benefit Duration, Unemployment Duration and Job Match Quality: A Regression-Discontinuity Approach

Abstract: The generosity of the Unemployment Insurance system (UI) plays a central role for the job search behavior of unemployed individuals. Standard search theory predicts that an increase in UI benefit generosity, either in terms of benefit duration or entitlement, has a negative impact on the job search activities of the unemployed increasing their unemployment duration. Despite the disincentive effect of UI on unemployment duration, UI benefit generosity may also increase job match quality by allowing individuals to wait for better job offers. In this paper we use a sharp discontinuity in the maximum duration of unemployment benefits in Germany, which increases from 12 months to 18 months at the age of 45, to identify the effect of extended benefit duration on unemployment duration and post-unemployment outcomes. We find a spike in the re-employment hazard for the unemployed workers with 12 months benefit duration, which occurs around benefit exhaustion. This leads to lower unemployment duration compared to their counterparts with 18 months benefit duration. However, we also show that those unemployed who obtain jobs close to and after the time when benefits are exhausted are significantly more likely to exit subsequent employment and receive lower wages compared to their counterparts with extended benefit duration.

Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems.

Abstract: Machine learning models are poised to make a transformative impact on chemical sciences by dramatically accelerating computational algorithms and amplifying insights available from computational chemistry methods. However, achieving this requires a confluence and coaction of expertise in computer science and physical sciences. This review is written for new and experienced researchers working at the intersection of both fields. We first provide concise tutorials of computational chemistry and machine learning methods, showing how insights involving both can be achieved. We then follow with a critical review of noteworthy applications that demonstrate how computational chemistry and machine learning can be used together to provide insightful (and useful) predictions in molecular and materials modeling, retrosyntheses, catalysis, and drug design.

Motivations to play specifically predict excessive involvement in massively multiplayer online role-playing games : evidence from an online survey

Abstract: BACKGROUND: Several studies have linked massively multiplayer online role-playing games (MMORPGs) with possible problematic usage or internet addiction. AIMS: The main goal of the present study was to assess links between motivations to play in MMORPGs and addictive involvement in such types of games. METHODS: A total of 696 gamers responded to an online survey. RESULTS AND CONCLUSION: Five distinct motivations to play were identified in gamers: achievement, socializing, immersion, relaxing and escaping. Multiple regression analysis revealed that addictive MMORPG use patterns are predicted by achievement, escapism and socializing motives. Gender was also a significant predictor of problematic involvement in MMORPGs. Moreover, addictive MMORPG use positively correlated with the weekly time devoted to playing MMORPGs.