Results 111 to 120 of about 548,666 (266)

Multifunctional Manganese Oxide Nanocomposite Hydrogel With Synergistic Reactive Oxygen Species‐Scavenging, Oxygen‐Generating, Immunomodulatory, and Photothermal Antimicrobial Activities for Enhanced Diabetic Wound Healing

Advanced Science, EarlyView.
CFP/PC@MnO2 hydrogel integrates ROS scavenging, oxygen delivery, oxidative stress reduction, immunomodulation, and photothermal antibacterial properties. The incorporation of PC@MnO2 NPs endows the hydrogel with multiple functional advantages tailored to the pathological microenvironment of diabetic wounds, including efficient ROS clearance, mitigation
Zhi Xu, Xiaodong Luo, Jingxian Wu, Chaoyang Huang, Zhuoying Yang, Yixiang HePeng, Bosong Zhou, Xiang Li, Ruiyuan Liu, Xu Wu   +9 more
wiley   +1 more source

The Plant‐to‐Plant Circular Strategy: Coupling Photodegradation and Phytoremediation With Plant‐Based Nanomaterials for Plastic Degradation

Advanced Science, EarlyView.
Plant‐based nanomaterials derived from alfalfa serve as dual‐function catalysts, coupling photodegradation and phytoremediation to degrade polyethylene under UV‐A light and in soil. The nanomaterials work synergistically with alfalfa and soil microbes, achieving efficient plastic breakdown without trophic transfer.
Haoran Liu, Lena Ciric, Yuheng Wang, Ziru Pei, Manpreet Bhatti   +4 more
wiley   +1 more source

Interesting microorganism [PDF]

Journal of Paediatrics and Child Health, 2016
Taylor-Miller, T, Chapman, M, Connell, T, Cole, T, Crawford, NW   +4 more
openaire   +3 more sources

Multiscale Design of Anion Exchange Membrane‐Based Seawater Electrolysis for Sustainable Hydrogen Production

Advanced Energy Materials, EarlyView.
Direct seawater electrolysis using anion exchange membranes is emerging as a promising route for sustainable hydrogen production. This review summarizes multiscale design strategies from seawater chemistry and OER–ClER selectivity to catalysts, membranes, MEAs, cells, stacks, and system integration, providing a roadmap toward selective, durable, and ...
Chiho Kim, Geunhee Yuk, Jong‐Hyeok Park, Shin‐woo Myeong, Jun Seok Ha, Won Tae Hong, Jung Kyu Kim, Sung Mook Choi   +7 more
wiley   +1 more source

Polyamines in microorganisms [PDF]

Microbiological Reviews, 1985
C W, Tabor, H, Tabor
openaire   +2 more sources

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Can Phosphate-Solubilizing Microorganisms Unlock the Path to Sustainable Amazonian Forest Restoration? [PDF]

Curr Microbiol
Dos Santos SPA, da Rocha Nina Junior A, de Oliveira Pinho SS, de Carvalho JC, Dos Santos Viana C, da Costa KCP, Mangaravite É, Fernandes AV, Santana MF, Freitas CDT, de Carvalho Gonçalves JF.   +10 more
europepmc   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Metabolic potential of newly isolated bacterial species from the deep subsurface of the Iberian Pyrite Belt. [PDF]

Front Microbiol
Martínez-Bonilla A, Mateos G, Carrillo-Bautista M, Arranz D, Amils R, Escudero C.   +5 more
europepmc   +1 more source

Autonomous Machine Learning‐Based Classification and Arrangement of Submillimeter Objects Using a Capillary Force Gripper

Advanced Intelligent Discovery, EarlyView.
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando, Naoto Watanabe, Chihiro Sekine, Shogen Sekiguchi, Ohmi Fuchiwaki   +4 more
wiley   +1 more source