Abstract Wet Bags Background Volunteering participants in disease studies tend to be healthier than the general population partially due to specific enrollment criteria.Using modeling to accurately predict outcomes of cohort studies enrolling volunteers requires adjusting for the bias introduced in this way.Here we propose a new method to account f

The EC H2020 cluster project SSHOC aims to provide a full-fledged Social Sciences and Humanities Open Cloud where data, tools, and training are available and accessible for users of SSH data.The focus of the project is determined by the goal to further the innovation of infrastructural support Arc Gouging Accessory for digital scholarship, to stimu

As air pollution becomes more and more serious, PM2.5 is the primary pollutant, inevitably attracts wide public attention.Therefore, a novel PM2.5 concentration forecasting method based on linear fuzzy information granule_dynamic time warping_hierarchical clustering algorithm (LFIG_DTW_HC algorithm) and generalized additive model is proposed in thi

Slope failures lead to catastrophic consequences in numerous countries and thus the stability assessment for slopes is of high interest in geotechnical and geological engineering researches.A hybrid stacking ensemble approach is proposed in this study for enhancing the prediction of slope stability.In the hybrid stacking ensemble approach, we used

Casing damage is a common problem encountered during oil and gas field development due to the complex stress state of the casing.Despite the large number of studies focusing on this problem, the mechanism of non-uniform in-situ stress-induced casing damage Carafes in a low-permeability reservoir is still unclear.In this study, casing damage due to