Using traces of behaviors to predict outcomes is useful in varied contexts ranging from buyer
behaviors to behaviors collected from smart-home devices. Increasingly, higher education …

Regression models are a form of supervised learning methods that are important for
machine learning, statistics, and general data science. Despite the fact that classical …

Ordinary least squares and stepwise selection are widespread in behavioral science
research; however, these methods are well known to encounter overfitting problems such …

Associations between personality traits and life outcomes are usually studied using the Big
Five domains and, occasionally, their facets. But recent research suggests these …

Motivation Multiple biological clocks govern a healthy pregnancy. These biological
mechanisms produce immunologic, metabolomic, proteomic, genomic and microbiomic …

Background Semiquantitative assessment of MRI plays a central role in musculoskeletal
research; however, in the clinical setting MRI reports often tend to be subjective and …

Understanding the thermal contribution of urban land cover is crucial for alleviating urban
heat islands (UHIs). Extensive work has assessed this contribution by estimating the …

Personality–outcome associations, typically represented using the Big Five personality
domains, are ubiquitous, but often weak and possibly driven by the constituents of these …

Discovery of genetic variants underlying bacterial phenotypes and the prediction of
phenotypes such as antibiotic resistance are fundamental tasks in bacterial genomics …

Objective: Research on predictors of treatment outcome in depression has largely derived
from randomized clinical trials involving strict standardization of treatments, stringent patient …