This important work sets out to identify the neural substrates of associative fear responses in adult zebrafish. Through a compelling and innovative paradigm and analysis, the authors suggest brain ...

In early stage biomedical studies, small datasets are common due to the high cost and difficulty of sample collection with human subjects. This complicates the validation of machine learning models, ...

Abstract We present a computational workflow, the conformal sampling of catalytic processes enhanced with extrapolation techniques (CSCP-X), for constructing machine-learning interatomic potentials ...

In this research, we conducted a comprehensive analysis of the diagnosis of breast cancer tumors as benign or malignant employing machine learning algorithms. The publicly available breast cancer ...

The new machine learning model developed by Plonsky and his colleagues draws from a behavioral science framework known as BEAST (Best Estimate and Sampling Tools). This is a model based on ...

Adsorbent injection is the most promising technology for solving anthropogenic mercury (mainly Hg0) emission from stationary sources. Carbon-based adsorbents have strong potential for Hg0 removal due ...