A new analysis of scientific practices suggests that a researcher’s personal political views may influence the results they ...
Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
A new study published in Therapeutic Innovation & Regulatory Science provides crucial insights into the design and ...
The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey ...
Cover -- Title Page -- Copyright Page -- Table of Contents -- Acknowledgments -- 1 Introduction and Background -- 1.1 Introduction -- 1.2 What This Book Is Not About ...
A study highlights the most dangerous Southern US intersections using comprehensive crash data from 2019 through 2023, ...
The CP2K open-source package is among the top three most widely used research software suites worldwide for simulating the ...