Results 91 to 100 of about 133,526 (198)
Advanced Science, EarlyView.This review highlights advances in soil organic carbon (SOC) quantification using remote sensing, proximal soil sensing, AI (ML and DL), and biogeochemical modelling. Integrating diverse data sources and models improves SOC prediction accuracy. Key priorities include enhancing data availability, refining models, incorporating microbial processes, and ...
Zijuan Ding +16 more
wiley +1 more source
Current Approaches and Challenges in Advanced Oxidation Processes for Nanoplastic Degradation
Advanced Science, EarlyView.This review explores recent progress in advanced oxidation processes (AOPs) for the degradation of nanoplastics (NPs) in water. It presents a comparative assessment of key AOP technologies and identifies current limitations in analytical methods and treatment efficiency.
Arezou Fazli +2 more
wiley +1 more source
Critical Electrochemistry Technologies Applicable in Space Exploration
Advanced Science, EarlyView.The available resources in space and discuss the application scenarios and challenges of electrochemical methods in four critical domains is analyzed: metallurgical processing of mineral resources, water resources utilization, carbon cycle management in extraterrestrial habitats, and electrical energy storage.
Ruisi Xu +4 more
wiley +1 more source
Land use, vegetation and Soil factors in SouthWest nigeria: A new Approach [PDF]
, 1968 R. P. Moss
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A Generative AI‐Assisted Piezo‐MEMS Ultrasound Device for Plant Dehydration Monitoring
Advanced Science, EarlyView.This study introduces a complementary metal–oxide–semiconductor (CMOS)‐compatible wearable piezoelectric micromachined ultrasound transducers (PMUTs) that sandwiches the leaf (PMUT–Leaf–PMUT, PLP) and employs generative artificial intelligence for real‐time analysis.
Kaustav Roy +7 more
wiley +1 more source
The place of forests in a land-use program for the South /
, 1937 Robert K. Winters
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Advanced Science, EarlyView.A data‐driven workflow integrating molecular dynamics simulations and machine learning enables efficient discovery of optimized lithium battery electrolytes. Key structural descriptors are screened for predicting coordination behavior and ion transport. Gaussian process regression identifies an optimal feature space, guiding rational electrolyte design.
Xiwang Chang +8 more
wiley +1 more source
Land use in relation to the beet leafhopper in southern Idaho
, 1949 J. R. Douglass
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