Results 171 to 180 of about 21,690,408 (274)

Assessing Soil Erosion in a Typical Karst Region: A Model Improved by Bedrock Exposure Rate in Guizhou Province

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Soil erosion is a major environmental challenge in karst regions of Southwest China, where thin soils and high bedrock exposure accelerate land degradation. This study modified the RUSLE model by incorporating bedrock exposure rate to improve erosion simulation in Guizhou Province from 2000 to 2024.
Ning Niu, Jihui Fan, Yiying Li
wiley   +1 more source

Higher NO3−‐N Levels Under Mulberry (Morus alba L.) Planting Enhanced CAZyme Abundance, Increasing Soil Carbon Stability

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Afforestation is widely advocated for boosting carbon (C) sequestration. However, the stability of soil C pools in economically and culturally significant mulberry plantations remains poorly understood. The soil organic C (SOC) contents in different aggregates and the oxidizable OC fractions were measured.
Zi Yang   +8 more
wiley   +1 more source

Optimizing Soil Organic Matter Estimation Through Multi‐Factor Zoning and Tree‐Based Automated Learning

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Soil organic matter (SOM) is a key indicator of land degradation and soil functioning. It plays an essential role in nutrient cycling, soil structure, and long‐term agroecosystem resilience. The variations of surface cover, soil moisture and soil texture heterogeneity will affect the accuracy of SOM remote sensing mapping. This study developed
Xuzhou Qu   +8 more
wiley   +1 more source

AI‐Driven Synthesis in Medicinal Chemistry: Integrating Large Language Models, Robotic Automation, and Sustainability Metrics to Accelerate Drug Discovery

open access: yesMedicinal Research Reviews, EarlyView.
ABSTRACT Artificial intelligence (AI) is transforming synthetic chemistry from task‐specific predictors into integrated platforms that unify retrosynthesis, reaction optimization, and closed‐loop robotic automation. This review highlights how AI‐assisted planning and robotic execution shorten cycle times, reduce step counts, and improve route ...
Amit Gangwal, Antonio Lavecchia
wiley   +1 more source

A Physics‐Informed Koopman Operator Framework for Decentralized Discrete‐Time Sequential Control of a Modular Aerial Parcel Delivery Robot

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This paper presents a Physics‐Informed Koopman Operator (PIKO) framework integrated with a discrete‐time Sequential Action Control (SAC) for real‐time, decentralized control of a modular aerial parcel delivery robot composed of multiple independently actuated propeller modules.
Archit Krishna Kamath   +2 more
wiley   +1 more source

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