Results 211 to 220 of about 905,566 (388)
Three charge assignment approaches (one quantum chemistry method‐based, the other two machine‐learning (ML) model‐based) are employed to investigate acetylene separation performances of experimental covalent‐organic frameworks. Partial Atomic Charge Predicter for Porous Materials based on Graph Convolutional Neural Network (PACMAN) ML model‐based ...
Hakan Demir, Ilknur Erucar
wiley +1 more source
This study explores machine learning‐driven prediction of fiber length characteristics in sustainable yarn blends made from recycled cotton and Lyocell. By analyzing empirical data through models like Random Forest and Gradient Boosting, and interpreting results with SHAP, key fiber length features from the Staple Diagram and Fibrogram are identified ...
Tuser Tirtha Biswas+2 more
wiley +1 more source
AI-Powered Plant Science: Transforming Forestry Monitoring, Disease Prediction, and Climate Adaptation. [PDF]
Xu Z, Jiang D.
europepmc +1 more source
Lecithin Alleviates Memory Deficits and Muscle Attenuation in Chinese Older Adults and SAMP8 Mice
This study opens a new avenue for safeguarding cognition and muscle health, averting disability in older age, and treating age‐related pathologies through lecithin supplementation. It serves as a promising nonpharmacological intervention for the crosstalk of muscle and cognition.
Xianyun Wang+16 more
wiley +1 more source
Research on the Economic Loss Model of Invasive Alien Species Based on Multidimensional Data Spatialization-A Case Study of Economic Losses Caused by <i>Hyphantria cunea</i> in Jiangsu Province. [PDF]
Li C+6 more
europepmc +1 more source