Effect of conservation agriculture on soil fungal diversity in rice-wheat-greengram cropping system in eastern Indo-Gangetic plains of South Asia [PDF]
Rakesh Kumar +13 more
openalex +1 more source
Effect of boundary vegetation and landscape features on diversity and abundance of breeding bird communities of abandoned crop fields in southwest Poland [PDF]
Grzegorz Orłowski
openalex +1 more source
X‐Functionality–Driven Photocatalytic Hydrogen Evolution in 2D 4‐X‐PEA2SnI4 Perovskites
We report a water‐based synthesis of 2D 4‐X‐PEA2SnI4 perovskite microcrystals with prominent photocatalytic (PC) activity for H2 production. The synergy between organic functionalization and HI‐derived iodide scavenges holes suppress octahedral distortion, and favor electron accumulation, enabling a PC H2 evolution ∼20 µmol·g−1 and long‐term stability ...
Taeyeon Kim +21 more
wiley +1 more source
Landscape heterogeneity rather than crop diversity mediates bird diversity in agricultural landscapes. [PDF]
Redlich S +3 more
europepmc +1 more source
A Non‐Reciprocal Architected Porous Medium
ABSTRACT In several fluid flow, energy‐dumping, and energy‐harvesting applications, a dominant flow direction or dominant resistance direction is desirable. In this study, we propose a simple modular geometry that doubles flow resistance in one direction relative to the opposite direction, while maintaining laminar viscous flow.
Clément Vezies +2 more
wiley +1 more source
Using Genomic Sequence Information to Increase Conservation and Sustainable Use of Crop Diversity and Benefit-Sharing. [PDF]
Halewood M +5 more
europepmc +1 more source
The nanostructure, size, and function of mRNA‐loaded lipid nanoparticles are evaluated before drying, within polymer microneedles, and after rehydration. The results reveal the polymer and LNP loadings required to recover nanostructure and preserve the delivery performance in dry‐state formulations.
Brendan P. Dyett +19 more
wiley +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source

