Results 161 to 170 of about 16,590 (245)

Selective Deposition of Charged Droplets for Programmable and Rewritable Printing of Patterned Microstructure Arrays

open access: yesAdvanced Science, EarlyView.
A residual‐charge‐induced electric field control (SDREC) strategy enables the fabrication of patterned microstructure arrays with a resolution of 20 µm via the selective deposition of charged droplets. The resulting arrays exhibit reversible writing/erasing, optical encryption, and selective silver electrode formation, offering a versatile route to ...
Yuechen Pei   +8 more
wiley   +1 more source

Host-Adaptive Divergence Shapes the Genetic Architecture of <i>Magnaporthe oryzae</i> in Southern China's Rice Agroecosystems. [PDF]

open access: yesJ Fungi (Basel)
Liu X   +15 more
europepmc   +1 more source

Hospital day nurseries.

open access: yesBMJ, 1978
Alberman, E   +10 more
openaire   +2 more sources

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

Electrolyte Additive Strategies in Aqueous Zn‐Ion Batteries: Recent Advances and Prospects

open access: yesAdvanced Science, EarlyView.
This article provides a comprehensive overview of the current status and future development directions of AZIBs electrolyte additives in three aspects: stabilizing zinc anodes (uniform deposition, inhibition of dendritic crystals), protecting cathodes (structural stability, inhibition of dissolution), and enhancing electrolyte stability (wider ...
Yuanze Yu   +7 more
wiley   +1 more source

Forecasting Root Rot Disease through Predictive Microbial Functional Profiling

open access: yesAdvanced Science, EarlyView.
Predicting soil‐borne disease moves beyond observation with a framework that elevates microbial functional genes into reliable forecasting biomarkers. By coupling targeted qPCR assays for core stress‐response genes with machine learning, this method detects root rot risks in pre‐symptomatic soils with over 80% accuracy.
Chuan You   +11 more
wiley   +1 more source

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