Results 241 to 250 of about 5,995 (297)

Host‐to‐Pathogen Transfer of Neutrophil Components via Extracellular Vesicles Shields Candida albicans From Immune Attack in Human Blood

Journal of Extracellular Vesicles, Volume 15, Issue 9, September 2026.
Neutrophils release extracellular vesicles (EVs) in response to Candida albicans, and these EVs bind to the fungus in a complement‐dependent manner while carrying neutrophil surface markers and antimicrobial proteins. Despite this cargo, EV coating does not inhibit fungal growth but markedly reduces neutrophil phagocytic uptake in purified‐cell assays ...
Jennifer J. Patitz, Natalie E. Nieuwenhuizen, Anastasia Solomatina, Yann Bachelot, Thomas Krüger, Carl‐Magnus Svensson, Stephanie Hoeppener, Ann‐Kathrin Zimmermann, Matthew G. Blango, Ronny Martin, Olaf Kniemeyer, Theresa Lange, Axel A. Brakhage, Marc Thilo Figge, Oliver Kurzai, Kerstin Hünniger‐Ast   +15 more
wiley   +1 more source

Ecological plasticity of <i>Halanaerobium</i> microorganisms across terrestrial saline to hypersaline subsurface environments. [PDF]

Microbiol Spectr
He Y, Wang X, Li S, Zhang C, Xu M, Zhou Y, Sanford RA, Liang R, Zhu Y, Yang D, Dan L, Mao X, Zhang L, Sun W, Jiang Y, Hu Y, Jiang Z, Li Y, Song W, Hu N, Zhao L, Dong Y, Shi L.   +22 more
europepmc   +1 more source

Genomic Innovations in High‐Oil Soybean Breeding: Overcoming Yield Barriers and Climate Resilience Challenges

Legume Science, Volume 8, Issue 3, September 2026.
ABSTRACT Soybean (Glycine max L.) is the world's most important oilseed crop, supplying 25% of world‘s edible oil and 66% of feed protein. This review address genomic innovations to overcome yield constraints and climate vulnerability (especially drought stress) in high‐oil soybean breeding.
Mujeeb Ur Rehman, Muhammad Azam, Muhammad Ahsan, Azhar Iqbal, Lili Yu, Jhon Larzabal, Juan E. Rosas, Li‐Juan Qiu   +7 more
wiley   +1 more source

Research on the Multi-Sensor Fusion Model for Pipeline Corrosion and the Identification Method of Pitting Corrosion. [PDF]

Sensors (Basel)
Huang S, Li W, Liao J.
europepmc   +1 more source

An Automatic Detection Model of Defects in Pipelines in Complex Environments. [PDF]

Sensors (Basel)
Zheng S, Li Z.
europepmc   +1 more source

Design of aerogel granule size for thermal insulation of petroleum pipelines. [PDF]

Sci Rep
Liu X, Wu J, Zhang J, Zhao P, Momanyi NK, Zhou Z, Jiang W, Xie Y, Liu L.   +8 more
europepmc   +1 more source

Analysis and optimization of the J-T valve control logic for offshore oil and gas field low-temperature separators based on K-Spice. [PDF]

Sci Rep
Liu Y, Lin F, Zhu G, Yao Z.
europepmc   +1 more source

Multiscale Simulation and Machine Learning Optimization of Cuttings Transport in Riserless Pipelines Under Bubble Coalescence-Breakup Driven Flow. [PDF]

ACS Omega
Xiang H, Zhang G, Zhang S, Zhang Y.
europepmc   +1 more source

Linking Tea Aroma Chemistry to Quality Grades via a Single MOS Gas Sensor: Classical Machine Learning vs. Deep Learning. [PDF]

Sensors (Basel)
Tasdemir AT, Ozkat EC, Ozkat GY, Gul F.
europepmc   +1 more source

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Research on oil and gas pipeline defect recognition based on IPSO for RBF neural network

Sustainable Computing: Informatics and Systems, 2018
Abstract To judge location of oil and gas pipeline defects and improve recognition accuracy for morphological characteristics of the oil and gas pipeline defects. This paper proposes a recognition model of oil and gas pipeline defects based on RBF neural network model with optimal parameters selected by improved Particle Swarm Optimization (IPSO ...
He Zhang, Xiaojie Yu
exaly   +2 more sources