8-Aug-2025 Deep learning tool “LKNet” sets new benchmark for accurate rice panicle counting across growth stages Nanjing Agricultural University The Academy of Science A research team has developed an advanced deep learning model, LKNet, to improve the accuracy of rice panicle counting in dense crop canopies. Journal Plant Phenomics
8-Aug-2025 New AI model enhances crop growth monitoring with minimal field data Nanjing Agricultural University The Academy of Science A research team has developed a novel deep learning framework that integrates 3D radiative transfer modeling (RTM) with a knowledge-guided convolutional neural network (KGCNN) to accurately and dynamically retrieve maize leaf area index (LAI) across different years and growth stages. Journal Plant Phenomics
8-Aug-2025 DepthCropSeg brings almost unsupervised crop segmentation to the field Nanjing Agricultural University The Academy of Science A research team has introduced DepthCropSeg, a powerful, depth-informed crop segmentation approach that achieves near-supervised performance without the need for pixel-level manual annotations. Journal Plant Phenomics
8-Aug-2025 High-performance fuel cell catalyst synthesized at room temperature—no high heat needed National Research Council of Science & Technology A joint research team led by Dr. Sung Jong Yoo at the Center for Hydrogen and Fuel Cells of the Korea Institute of Science and Technology (KIST, President Sang-Rok Oh), Professor Dong Won Chun of POSTECH, Professor Yongsoo Yang of KAIST, and Professor Haneul Jin of Dongguk University has developed a new catalyst technology that enables the synthesis of highly active and durable catalyst at room temperature using a simple ultrasound-assisted method. Journal Advanced Materials Funder Ministry of Science and ICT
7-Aug-2025 New findings on the role of marine n-3 fatty acids in improving glucose metabolism in prediabetes Research This study is the first to confirm, in a large-scale prospective cohort, that fish oil supplementation can reduce the risk of developing type 2 diabetes (T2D) in individuals with prediabetes. It systematically reveals that DHA and EPA improve glucose homeostasis in prediabetic individuals by enhancing aerobic glucose metabolism, glycogen synthesis, and GLUT4 vesicle translocation in skeletal muscle, thereby lowering the risk of T2D onset. Journal Research Funder Natural Science Foundation of Zhejiang Province, National Natural Science Foundation of China
7-Aug-2025 Microplastics in our bodies: A silent health crisis unfolding Biochar Editorial Office, Shenyang Agricultural University A groundbreaking study has identified microplastics in human tissues, triggering widespread concern over their potential health impacts. This revelation comes as lab research continues to uncover the damaging effects of these tiny particles on our physical functions. Journal Carbon Research
7-Aug-2025 Vaping produces a chemical that destroys human tissue University of California - Merced Many people think vaping marijuana or CBD is a safe practice, but new research shows that the act of vaping produces a chemical byproduct that kills human tissue cells. Journal Chemical Research in Toxicology
7-Aug-2025 Texas A&M researchers study diet’s impact on salmonella prevalence in cattle Texas A&M University Salmonella is one of the leading causes of foodborne illnesses in the United States, according to the Centers for Disease Control and Prevention, and can spread to people from a variety of foods, including beef. Understanding how and why cattle become infected with Salmonella is an important part of fighting this major public health concern. Researchers at the Texas A&M College of Veterinary Medicine and Biomedical Sciences (VMBS) are addressing this problem from a new angle by studying how diet and feeding schedule impact Salmonella infections in cattle. Journal Microbiology Spectrum Funder American Heart Association, Diabetes Research and Action Education Foundation
7-Aug-2025 Texas A&M researchers use AI to forecast pollution Texas A&M University Researchers from Texas A&M University are using artificial intelligence to track pollution caused by accidental chemical emissions following natural hazards. An increased understanding of the relationship between natural hazards and unplanned chemical emissions may help researchers and policymakers predict, and hopefully prevent, future pollution. The research findings are outlined in a recently published paper. Journal Process Safety and Environmental Protection Funder Gulf Research Program
7-Aug-2025 Advanced hydrogel treatment shows promise for managing diabetic wounds and glycemic issues Burns & Trauma Chronic diabetic wounds are a persistent medical challenge, worsened by factors like hyperglycemia, infection, and poor healing. Journal Burns & Trauma
