Standing tall and uninterrupted in the background of our bedrooms, a wardrobe design is often treated as just a functional detail —designed to store and blend in unobtrusively. Some homes, however, ...

Presentation Topic] In this session, two teams share their collaborative process of turning stories into gameplay experiences ...

Abstract: Computational drug design relies on the calculation of binding strength between two biological counterparts especially a chemical compound, i.e., a ligand, and a protein. Predicting the ...

I've been testing PC and mobile software for more than 20 years, focusing on photo and video editing, operating systems, and web browsers. Prior to my current role, I covered software and apps for ...

The integration of resistive materials has fundamentally advanced Micro-Pattern Gaseous Detector (MPGD) technology, enabling robust, high-gain operation essential for modern particle physics ...

Yadullah Abidi is a Computer Science graduate from the University of Delhi and holds a postgraduate degree in Journalism from the Asian College of Journalism, Chennai. With over a decade of experience ...

School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, 200 Xiao Ling Wei, Nanjing 210094, P. R. China ...

Citalopram and escitalopram are among the most used medications and are key treatments for many psychiatric disorders. Previous findings suggest citalopram and escitalopram prescription rates are ...

Abstract: Mining information in Big Data requires to design a new class of algorithms and methods so that the computational complexity load is acceptable and the informativity loss is avoided.

Prediction of protein-protein binding (PPB) affinity plays an important role in large-molecular drug discovery. Deep learning (DL) has been adopted to predict the changes of PPB binding affinities ...