Nuclear

In the realm of medical diagnostics, a team of researchers from Microsoft Research Asia, led by Shengyi Hua and Jianfeng Wu, has developed a novel approach to pathological diagnosis that mimics clinical workflows more closely than previous models. Th

Dr. Elena Litvinova, a researcher at the Helmholtz-Zentrum Dresden-Rossendorf in Germany, has made significant strides in the field of nuclear many-body theory, with implications for understanding nuclear reactions relevant to energy production and n

In the realm of energy research, a recent study has delved into the intricate world of particle physics to better understand energy loss in dense matter, a phenomenon that has significant implications for the energy industry. The research, led by Rit

In the realm of astrophysics and energy research, a team of scientists from the National Research Nuclear University MEPhI in Moscow has made significant strides in understanding the behavior of neutrinos and antineutrinos in the late stages of a sta

In the realm of nuclear physics and energy research, a team of scientists from the Institute of Modern Physics at Fudan University in Shanghai, China, has been delving into the complex world of nuclear fission. Researchers Yingge Huang, Haozhao Liang

Researchers from the Indian Institute of Technology Indore, including Gourav Siddhad, Anurag Singh, Rajkumar Saini, and Partha Pratim Roy, have developed a new method for detecting driver drowsiness and mental workload using EEG signals. Their work,

Researchers from the Department of Computer Science and Engineering at Amrita Vishwa Vidyapeetham, including Arunkumar V, Firos V M, Senthilkumar S, and Gangadharan G R, have developed a novel approach to improve medical imaging analysis, which could

In the realm of high-energy physics, researchers are continually probing the fundamental particles and forces that govern our universe. Among these scientists is Nihar Ranjan Saha, affiliated with the CMS experiment at CERN, who has been investigatin

In the realm of nuclear physics and energy research, a trio of scientists from the Institute of Modern Physics at the Chinese Academy of Sciences has made a significant stride in improving computational efficiency and accuracy in nuclear simulations.

In the realm of energy data analysis and grid management, efficient graph processing is crucial for optimizing complex networks. Researchers Deniz Elbek and Kamer Kaya from the University of California, Santa Barbara, have developed a novel approach