Enhancing carbon sinks in China using a spatially-optimized forestation strategy. [PDF]
Dong Y +12 more
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Two new species of <i>Periconia</i> and a new record of <i>Paramonodictys</i> from <i>Miscanthus sinensis</i> in Guizhou Province, China. [PDF]
Zhang LJ +6 more
europepmc +1 more source
Autologous tumor‐infiltrating lymphocyte (TIL) therapy shows promising efficacy in acral melanoma, yet determinants of durable response remain unclear. By integrating single‐cell transcriptomics and TCR sequencing, this study reveals that TIL products enriched for T follicular helper and intermediate exhausted T cells establish persistent clonal ...
Chao Zhang +12 more
wiley +1 more source
Integrated multi-omics reveals flower color regulatory networks in Osmanthus fragrans. [PDF]
Tang M +10 more
europepmc +1 more source
Earth Observation activities for the environment in Slovenia [PDF]
Domajnko, Matevž +3 more
core
A pilot project to store carbon as biomass in African woodlands [PDF]
Goodman, L +5 more
core +1 more source
Hierarchical Artificial Muscle with Nonlinear Elasticity for Antagonistic and Cyclic Robotics
We construct hierarchical muscles by plying nylon fibers around a heating wire. The hierarchical muscle shows a J‐shaped passive curve, which shows benefit in antagonistic muscle pair and work accumulation mechanism. We also develop a computational, first‐principle model to understand the physics of both active actuation stroke and passive J‐curve ...
Samuel Tsai +15 more
wiley +1 more source
Advancing Precision Agriculture and Forestry: Multi-Source Spectral Sensing, Feature Fusion, and Machine Learning. [PDF]
Xiang Y, Liu Z.
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source

