Results 181 to 190 of about 53,937 (302)
AI‐Driven TENGs for Self‐Powered Smart Sensors and Intelligent Devices
Triboelectric nanogenerators (TENGs) enable sustainable energy harvesting and self‐powered sensing but face challenges in material optimization, fabrication, and stability. Integrating artificial intelligence (AI) enhances TENG performance through machine learning, improving energy output, adaptability, and predictive maintenance.
Aiswarya Baburaj+4 more
wiley +1 more source
Does agroecosystem management mitigate historic climate impacts on dryland winter wheat yields?
Abstract Global studies that quantify climate effects on crop yields using top‐down spatial frameworks are invaluable for assessing generalized effects on world food supplies, yet do not contain the resolution necessary to identify local mediating effects of management. Our objectives were to identify (a) what climate factors have historically affected
Grace L. Miner+6 more
wiley +1 more source
Spherical multigrid neural operator for improving autoregressive global weather forecasting. [PDF]
Hu Y+6 more
europepmc +1 more source
Transductive Feature Selection Using Clustering-Based Sample Entropy for Temperature Prediction in Weather Forecasting. [PDF]
Karevan Z, Suykens JAK.
europepmc +1 more source
Refractory high‐entropy alloys exhibit superior radiation tolerance, but face fabrication challenges due to complex compositions. It is demonstrated that reducing the number of alloying elements does not compromise radiation resistance in a novel W‐Ta‐V highly‐concentrated refractory alloy.
Matheus A. Tunes+16 more
wiley +1 more source
Yield estimation of summer maize based on multi‐source remote‐sensing data
Abstract Accurately estimating regional‐scale crop yields is substantial in determining current agricultural production performance and effective agricultural land management. The Yuncheng Basin is an important grain‐producing area in the Shanxi Province. This paper used Sentinel 2A with a spatial resolution of 10 m and MODIS with a temporal resolution
Jingshu Wang+4 more
wiley +1 more source
Probabilistic weather forecasting with machine learning. [PDF]
Price I+11 more
europepmc +1 more source
This study has identified lncRNA‐MEG3 as a key regulator of muscle mass, promoting slow‐twitch muscle fibers and preventing muscle atrophy. By stabilizing the SUZ12/PRC2 complex through liquid–liquid phase separation (LLPS), lncRNA‐MEG3 influences mitochondrial function and lipid metabolism.
Yilong Yao+15 more
wiley +1 more source
Profit‐maximizing potassium fertilizer recommendations for corn and cotton
Abstract Whereas K fertilization is necessary to maximize corn (Zea mays L.) and cotton (Gossypium hirsutum L.) yields in soils with sub‐optimum K availability, maximizing yield is rarely profit‐maximizing. Estimating the tradeoff between yield and fertilizer cost using current soil‐building and/or yield‐maximizing rate recommendations vs.
Kimberly Oliver+4 more
wiley +1 more source