Athletes devote their lives to practicing their chosen sport so as to attain the highest level of skilled performance. A perennial question is why are some athletes better than others? Most debates on this issue reduce to genetics (natural abilities) vs differences in accumulated deliberative practice. In contrast, the target article under discussion here reports on a study that identified psyc...

OBJECTIVE Box model trainers have been used for many years to facilitate the improvement of laparoscopic skills. However, there are limited data available on box trainers and their impact on skill acquisition, assessed by virtual reality systems. MATERIAL AND METHODS Twenty-two Postgraduate Year 1 gynecology residents with no laparoscopic experience were randomly divided into one group that r...

Solar flare prediction is a central problem in space weather forecasting and has captivated the attention of wide spectrum researchers due to recent advances both remote sensing as well machine learning deep approaches. The experimental findings based on models reveal significant performance improvements for task specific datasets. Along with building models, practice deploying such production ...

Many studies evaluating model boundary-layer schemes focus either on near-surface parameters or on short-term observational campaigns. This reflects the observational datasets that are widely available for use in model evaluation. In this paper we show how surface and long-term Doppler lidar observations, combined in a way to match model representation of the boundary layer as closely as possib...

The purpose of this study was to determine the effect of investigative laboratory integration on student content knowledge and science process skill achievement across learning styles. Treatment groups utilized one of three levels of treatment: subject matter approach without laboratory experimentation, subject matter approach with prescriptive laboratory experimentation, and subject matter app...

[1] A new approach to combine precipitation forecasts from multiple models is evaluated by analyzing the skill of the candidate models contingent on the forecasted predictor(s) state. Using five leading coupled GCMs (CGCMs) from the ENSEMBLES project, we develop multimodel precipitation forecasts over the continental United States (U.S) by considering the forecasted Nino3.4 from each CGCM as th...

We study whether earning losses after job displacement can be attributed to the skill mismatch that arises when workers' human capital is underutilized at the new job. Using detailed task data, we create asymmetric measures of skill mismatch between occupations. We use these measures to study the e ect of worker displacement in plant closures and mass-layo s in Germany, exploiting these events ...