Nuclear

Recent research led by Ying Gu from the College of Information and Electrical Engineering at Shenyang Agricultural University has made significant strides in the nondestructive detection of saline-alkali stress in wheat seedlings. Published in the jo

Researchers are increasingly turning to artificial intelligence to enhance the safety and efficiency of nuclear fusion reactors, particularly tokamak devices, which are essential for advancing fusion energy technology. A recent study led by L. Bonalu

A recent study published in PLoS ONE has introduced a novel deep learning model designed to enhance the accuracy of nuclear segmentation in histopathological images. The research, led by Qiumei Pu, focuses on a new approach called the Multifunctional

Researchers at the Biocenter, University of Würzburg, led by Johanna Odenwald, have developed a groundbreaking method for detecting proteins that are often difficult to visualize using traditional techniques. Published in the journal eLife, this stud

Recent advancements in cooling technologies for nuclear fusion devices have been made by a team of researchers led by Xin Meng from the MIIT Key Laboratory of Thermal Control of Electronic Equipment at Nanjing University of Science and Technology. Th

A recent breakthrough in concrete surface crack detection has emerged from researchers at Lanzhou Jiaotong University, led by Xuwei Dong. Their study introduces an innovative detection algorithm called YOLOv8-Crack Detection (YOLOv8-CD), which signif

Recent research conducted by E. Noori at the Plasma and Nuclear Fusion Research School within the Nuclear Science and Technology Research Institute (NSTRI) in Tehran has shed light on the intricate relationship between plasma characteristics and micr