Results 241 to 250 of about 98,327 (303)

Engineering Trace‐Amount Electrolyte Additives for Aqueous Zinc Batteries

Advanced Energy Materials, EarlyView.
Large‐amount additives primarily modify the bulk electrolyte by coordinating with Zn2+ or reshaping the hydrogen‐bond network, thereby altering the overall solution chemistry. In contrast, trace‐amount additives mainly operate at the electrode–electrolyte interface, regulating Zn deposition through electric double‐layer modulation, interfacial ...
Zhaoxin Li, Jinhua Guo, Longjun Chang, Zhenyu Jiang, Shuchang Liu, Chao Wang, Qi Liu, Baohua Li, Zhiqiang Niu, Qing Li   +9 more
wiley   +1 more source

<i>CD36</i> and <i>SR-B1</i> polymorphisms exhibit distinct association patterns in active and latent tuberculosis. [PDF]

J Med Microbiol
Tariq EB, Subhan U, Deeba F, Tariq Z, Liaquat A, Younis S.   +5 more
europepmc   +1 more source

Preparation, Component Identification, and Antioxidant Activity of Anthocyanins From Punica granatum “Tunisia”

AgriFood: Journal of Agricultural Products for Food, EarlyView.
The preparation for Tunisian pomegranate anthocyanin extract. The molecular mechanisms underlying the antioxidant effects of these compounds were investigated using network pharmacology and molecular docking. Antioxidant activity was evaluated through DPPH, ABTS, and FRAP assays, whereas the effects on oxidative stress and inflammation were examined in
Jing Zhang, Xu‐han Yang, Meng‐qi Zhang, Xu Guo, Ning‐yang Li, Fang‐yu Long, Chao Liu   +6 more
wiley   +1 more source

Macrophages as tissue scavengers, builders, and sensors. [PDF]

Function (Oxf)
Martinez-Pomares L.
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

MLN4924 inhibits macrophage foam cell formation by enhancing autophagy and regulating metabolic phenotype. [PDF]

Lipids Health Dis
Xing L, Bu Y, Shi J, Liu J, Hu F, Zhang M, Fan J.   +6 more
europepmc   +1 more source

OXidative Stress PREDictor: A Supervised Learning Approach for Annotating Cellular Oxidative Stress States in Inflammatory Cells

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley   +1 more source

Glucolipid Metabolic Disorders and <i>Helicobacter pylori</i> Infection. [PDF]

Int J Endocrinol
Yuan J, Xiong P, Zhou Z, Wu J, Wu B, Wang B, Guo J.   +6 more
europepmc   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Royal jelly fermented by honeybee queen (Apis mellifera)-derived Lactobacillus panisapium M1 enhances macrophage phagocytosis through the TLR2/MAPK/SR signaling pathway. [PDF]

BMC Complement Med Ther
Nonobe S, Okamoto H, Ito T, Itatani H, Yamaki A, Okumura N.   +5 more
europepmc   +1 more source