Reflecting on the methodological approaches used when engaging historically marginalized groups in computing survey research.

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

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 ...

Intrinsically Disordered Proteins (IDPs) challenge traditional structure-function paradigms by existing as dynamic ensembles rather than stable tertiary structures. Capturing these ensembles is ...

This site displays a prototype of a “Web 2.0” version of the daily Federal Register. It is not an official legal edition of the Federal Register, and does not replace the official print version or the ...

Applied Ocean Sciences is creating a sensor that is faster, more efficient, and less expensive than current sampling methods and will be the first sensor to allow near real-time abundance measurements ...

Abstract: In the internet age, data generation is rapidly increasing. Artificial intelligence, particularly big data classification technology, is becoming crucial in aiding medical auxiliary ...

The World Health Organization (WHO) warns that air pollution is of great concern and impacts health in many ways. To better the situation, it’s necessary to focus on air quality. However, when ...

Marine water resources (including seawater and pore-water) provide important information for understanding the marine environment, studying marine organisms, and developing marine resources. Obtaining ...