Researchers at Tianjin University have developed LineGen, a physics-guided method combining ordinary differential equations and a time-embedded U-Net, to generate super-resolution load data (SRLD) for power distribution systems. Published in Engineering, the approach addresses limitations in high-frequency data collection by achieving a 1000-fold resolution enhancement—significantly surpassing prior deep learning methods—while offering traceable physical interpretability for improved grid management and reliability.

The proto-oncogene c-Fos serves as a critical marker of neuronal activation, rapidly induced in response to novel stimuli and playing a pivotal role in learning and memory through pathways such as ERK/CREB and long-term potentiation (LTP). However, in Alzheimer’s disease (AD), c-Fos expression becomes dysregulated, contributing to neurotoxicity, cognitive deficits, and neuronal apoptosis. This review explores the contrasting roles of c-Fos in healthy and AD-afflicted brains, highlighting its involvement in synaptic plasticity, neuroinflammation, and oxidative stress, and discusses its potential as a therapeutic target.

BGI Genomics has successfully wrapped up its inaugural Whole Exome Sequencing (WES) Interpretation of Genetic Diseases Training Workshop for Southeast Asia, marking a significant milestone in international genomics education.

Held at the BGI Center in late May, the workshop brought together emerging healthcare professionals and researchers from Thailand, Indonesia, and Vietnam for a week of intensive, hands-on learning.