StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...
In 2010, the American Heart Association introduced Life's Simple 7, a construct to measure, monitor, and modify cardiovascular health (CVH) across the lifespan. We aimed to summarize the knowledge on ...
Christine E. Lynn College of Nursing, Florida Atlantic University, Boca Raton, FL, USA. Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The Martini coarse-grained force field (10,11) is a ...
aINSERM UMR_S 999 “Pulmonary Hypertension: Pathophysiology and Novel Therapies”, Faculté de Médecine, Université Paris-Saclay, Le Kremlin-Bicêtre, France bINSERM UMR_S 999 “Pulmonary Hypertension: ...
The lack of multi-omics cancer datasets with extensive follow-up information hinders the identification of accurate biomarkers of clinical outcome. In this cohort study, we performed comprehensive ...
The basal ganglia (BG) contribute to reinforcement learning (RL) and decision-making, but unlike artificial RL agents, it relies on complex circuitry and dynamic dopamine modulation of opponent ...
In the last two decades, there has been an explosion of interest in modeling the brain as a network, where nodes correspond variously to brain regions or neurons, and edges correspond to structural or ...
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