MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

Background Comparative evidence on the diagnostic yield of endobronchial ultrasound (EBUS)-guided sampling techniques for ...

Experts have accepted an estimate of around six million living insect species, an appraisal that has stood for the last 40 ...

A new estimate of insect species globally finds that there may be 8 million to 14 million more species than people thought, ...

Abstract: Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of ...

ABSTRACT: Workplace toxicity remains a significant organizational challenge for companies, negatively impacting performance, increasing turnover, and harming the psychological well-being of employees.

Abstract: With the advancement of embodied intelligence technology, continuous-time reinforcement learning (CTRL) in dynamical systems has shown promising potential in various robotic applications and ...

Objective This study aims to assess the feasibility of respondent-driven sampling (RDS) to recruit participants with recent abortion experiences in humanitarian contexts, and describe the composition ...

Previous studies have established a relationship between duodenal mucosa-associated microbiota and overall health. However, sampling duodenal microbiota is technically challenging. Mucosal biopsies ...

How do you design a study that captures human experience as it unfolds in real time? In this episode, Under the Cortex explores the Experience Sampling Method (ESM), a powerful approach for studying ...