Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...

Combining artificial intelligence with physical climate modelling enables more accurate characterization of rare weather ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

Abstract: Electronic components and electronic packages consist majorly of polymer-based materials. Polymers are applied for various purposes such as environmental protection, stabilization, weight ...

Logistic regression is a statistical method used to model binary outcome variables, such as whether a patient recovers or not, using a set of predictors. There are many competing methods for ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Early detection of individuals at high risk of disease onset is crucial for health-care systems to cope ...

Qualitative research is a unique and complex approach to understanding the phenomenon. Unlike quantitative research, which relies on numbers and statistics to understand facts through reductionist ...

In today’s AI race, breakthroughs are no longer measured in years—or even months—but in weeks. But Z.ai’s lead didn’t last long, either. Just as Anthropic had been undercut by GLM-5’s release, GLM-5 ...

Development and Assessment of a Pipeline for Extracting Structured Data From Free-Text Medical Reports Using a Large Language Model Both CoT and double filtering technique (DFT) achieved 94% accuracy, ...

Introduction The importance of conducting qualitative research alongside clinical trials of complex healthcare interventions is well established. There are various ways in which these two ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...