Results 181 to 190 of about 54,259 (246)

A Blood‐Derived Double‐Network Hydrogel with Robust Wet Adhesion for Keratinized Mucosa Regeneration via Neutrophil Phenotype Reprogramming and Mechanophysical Niche Modulation

Advanced Science, EarlyView.
The iPRF‐MA/Alg‐NHS/Lut@EGCG (PGAE) double‐network hydrogel achieves durable wet adhesion in the oral environment. It simultaneously reprograms neutrophils from NETosis to phagocytosis for biofilm clearance, and activates the FAK‐RhoA‐YAP mechanotransduction pathway in gingival fibroblasts to drive extracellular matrix remodeling, thereby promoting ...
Sicong Ren, Xinting Yang, Jingxia Chen, Yihan Wang, Jian Feng, Jing Zhou, Jiaxin Luo, Jingjie Zhai, Quan Lin, Yanmin Zhou   +9 more
wiley   +1 more source

Persistent Homology Combined with Machine Learning for Social Network Activity Analysis. [PDF]

Entropy (Basel)
Zhang Z, Sun Y, Liu Y, Jiang L, Li Z.
europepmc   +1 more source

Beyond Potency: Emerging Determinants and Optimization Strategies Enhancing Therapeutic Efficacy of Adult Stem Cells

Advanced Science, EarlyView.
Adult stem cell therapy requires more than high in vitro potency. This review proposes a systems framework in which cell‐intrinsic programs, instructive microenvironmental cues, and pre‐/post‐delivery engineering are co‐designed under standardized translational rules.
Soo‐Rim Kim, Yun Jae Jung, Hwa‐Yong Lee   +2 more
wiley   +1 more source

Topology-Based Biomarkers Accurately Predict Breast Cancer Outcome and Survival. [PDF]

Cancer Res
Singhal S, Li C, Aukerman A, Carrière M, Miller ML, Hibshoosh H, McDonald JA, Winfield JR, Aung STH, Martinez-Delgado G, Frankenstein Z, Lee YH, Rabadan R, Saltz J, Chen C, Gardner K.   +15 more
europepmc   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Morphological multiparameter filtration and persistent homology in mitochondrial image analysis. [PDF]

PLoS One
Chung YM, Hu CS, Sun E, Tseng HC.
europepmc   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Relational Persistent Homology for Multispecies Data with Application to the Tumor Microenvironment. [PDF]

Bull Math Biol
Stolz BJ, Dhesi J, Bull JA, Harrington HA, Byrne HM, Yoon IHR.   +5 more
europepmc   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source