Results 241 to 250 of about 68,021 (309)
This review comprehensively outlines molecular modification strategies for steering CO2 electroreduction toward C2+ products, including the classification of diverse molecular structures, elucidation of their roles in microenvironment regulation, dissection of C–C coupling pathway engineering, and forward‐looking perspectives on machine learning and ...
Lingling Peng, Hanwen Liu, Tianyou Peng
wiley +1 more source
Detection of leaf miner in sweet potato crops through image analysis using machine learning-based models. [PDF]
Huaman B, Guzman B, Arcila J.
europepmc +1 more source
Despite the growing number of studies on trophic networks in recent decades, there are still important gaps in our understanding of how these networks are structured across broad environmental gradients. These gaps are even greater in some groups of terrestrial vertebrates, such as snakes, requiring a cohesive synthesis of their broader trophic ...
Daniela Pinto‐Coelho +4 more
wiley +1 more source
Using a coordinated regulation strategy of interface and ligand, we developed a nickel cobalt sulfide/carboxylate ligand‐modified nickel cobalt hydroxide composite (NiCo‐S/NiCo‐OH‐CL) with abundant heterointerfaces. Owing to the porous network, sulfur‐repellent hydrophilic surface, and dual electronic structure regulation, the coupled electrolysis ...
Jinghui Guo +12 more
wiley +1 more source
Rethinking microbial biopesticide development and uptake. [PDF]
Glare TR +7 more
europepmc +1 more source
This article explores high‐entropy‐stabilized oxides (HEOs) as novel functional materials for addressing critical issues in lithium–sulfur (Li–S) batteries, including lithium polysulfide (LPS) shuttling, inadequate conductivity, and slow redox kinetics.
Hassan Raza +10 more
wiley +1 more source
Plant Protection: Focusing on Plant-Feeding Mites. [PDF]
Marčić D, Pappas M, Döker I.
europepmc +1 more source
The Defense Responses of <i>Eucalyptus</i> to Insect-Feeding and Leaf-Clipping Stresses. [PDF]
Chen C +9 more
europepmc +1 more source
Mobile-assisted deep learning framework for identification of insect pests and diseases of maize from field images. [PDF]
Singh N +7 more
europepmc +1 more source

