Background Ebstein’s anomaly (EA) exhibits significant anatomical and clinical heterogeneity, warranting a systematic ...

Deep Learning Methods, GNN Model, Community Service Work, China and USA, Neural Networks Share and Cite: Liu, J. (2026) A Comparative Study of Community Service Work Based on Deep Learning. Open ...

Adam Szetela’s That Book Is Dangerous! makes the case that we exist in the “Sensitivity Era”. According to Szetela, American literature – in particular literature for young people – is threatened by a ...

Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...

Efficiently identify and map tire fillers with streamlined material analysis—explore the details in this application note.

The purpose of this research is to define the conditions under which developing countries find themselves implementing Artificial Intelligence in their governance systems. This scientific contribution ...

Quantitative coronary plaque analysis (QCPA) is an emerging tool that allows noninvasive quantification and characterization of coronary atherosclerosis on the basis of coronary computed tomography ...

This whitepaper explores the development and implementation of such procedures using the Bruker Fourier 80 benchtop NMR spectrometer. Through examples involving model drug products, it highlights how ...

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...

Quant trading uses math and data to predict stock price changes and execute trades quickly. Computers in quant trading base decisions on data, removing the emotional risks of investing. Retail access ...