Results 191 to 200 of about 3,279,814 (312)

Optimal Grazing Exclusion Duration to Enhance Soil Carbon Sequestration in Degraded Grasslands

open access: yesAdvanced Science, EarlyView.
Across China, grazing exclusion reaches the national mean soil organic carbon recovery benchmark sooner in high‐MAP regions (> 500 mm), but recovery is much slower where MAP < 300 mm. Scaling this strategy to 70% of China's degraded grasslands would sequester about 1.52 Pg of soil carbon over 10 years—roughly 17% of annual global fossil‐fuel emissions.
Bin Zhang   +9 more
wiley   +1 more source

STEPI - Science and Technology Policy Institute

open access: yesTechnikfolgenabschätzung – Theorie und Praxis, 1996
M. Rohr
doaj   +1 more source

Self‐Assisted Charge Storage‐Release Mechanism Enabling Flexible Design of Biomimetic Triboelectric Nanogenerators

open access: yesAdvanced Science, EarlyView.
Inspired by the mimosa, this study develops a flexible triboelectric nanogenerator with a novel microneedle array and battery‐mimetic architecture. The device introduces a spontaneous charge self‐regulation mechanism that confines the electric field below the air breakdown threshold, and achieves an outstanding charge density of 396.50 µC m−2 ...
Hanpeng Gao   +7 more
wiley   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

open access: yesAdvanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu   +10 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

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