A better understanding of how the human brain represents objects that exist in nature, such as rocks, plants, animals, and so ...

In today’s fragmented data landscape, success increasingly hinges on an organization’s ability to build agile, secure, and ...

Aston University biostatistician Dr. Dan Green has identified the top ten errors he commonly sees in research papers in his ...

Furthermore, cross-border data flows can reverse the cyclicity of working data usage after productivity shocks, whereas shocks to data privacy or import costs have opposite effects on domestic and ...

The Common Data Set (CDS) initiative is a collaborative effort among institutional researchers and guidebook publishers, as represented by the College Board, Peterson's, and U.S. News & World ...

FPGA chips stand out with parallel processing capabilities. Besides this, artificial neural networks require parallel computing because of their algorithm. In this study, it is aimed to design an ...

Background and objective The Atlanta classification of acute pancreatitis enabled standardised reporting of research and aided communication between clinicians. Deficiencies identified and improved ...

AI might have access to a lot of scientific papers in its training data. Research reports were also the only documents in our tests that follow a very predictable structure, ...

This paper reviews the recent literature on measuring and boosting cognitive and noncognitive skills. The literature establishes that achievement tests do not adequately capture character ...

Imaging modalities available in the DLBS dataset. Credit: Scientific Data (2025). DOI: 10.1038/s41597-025-04847-7 ...

An analysis of millions of scientific papers and patents shows that the further a researcher or inventor moves from their previous work, the less cited their latest work will be.