Results 121 to 130 of about 9,510 (195)

Biomimetic Bone Marrow Monocyte Membrane‐Fused Extracellular Vesicles for Targeted Therapy of Myocardial Infarction

Advanced Science, EarlyView.
This study develops a biomimetic delivery system (M‐hEV) by fusing monocyte membranes with extracellular vesicles for targeted therapy of damaged cardiac tissue. The system homes to injured myocardium through specific molecular pathways. In a myocardial infarction model, M‐hEV effectively accumulates in the heart, reduces infarct size, alleviates ...
Jiaxin Song, Hao Yang, Qiqi Zhang, Wenqin Zhou, Rui Wang, Yuxing Xie, Emeli Chatterjee, Guoping Li, Jizong Jiang, Qiulian Zhou, Cuimei Zhao   +10 more
wiley   +1 more source

Investigation on micro drilling of low carbon NiTi alloy using tungsten carbide micro drill tool. [PDF]

Sci Rep
Khan MA, Ebenezer G, Jappes JTW, Mourad AI, Thekkuden DT.   +4 more
europepmc   +1 more source

Development of a Human 3D Immune‐Competent Neurovascular Model Enabling Time‐Resolved Monitoring of Neuroinflammatory Dynamics and Neuroimmune Interactions

Advanced Science, EarlyView.
Neuroinflammation alters blood–brain barrier integrity and contributes to neurological disorders, yet existing models lack human immune complexity. This study presents a 3D, immune‐responsive platform that reconstructs key neurovascular components and enables real‐time monitoring.
Pavlo Gordiichuk, Jing Bai, Olurotimi A. Bolonduro, Andrew M. Silverman, Robert Madison Green, Jason H. Lasser, Paul W. Fleming, Lishomwa C. Ndhlovu, James F. Saunders, Dmitry Shvartsman   +9 more
wiley   +1 more source

Modeling bladder mechanics with 4D reconstruction of murine ex vivo bladder filling. [PDF]

Biomech Model Mechanobiol
Broemer E, Saxena P, Bartolone S, Hennig G, Herrera GM, Zwaans B, Tykocki NR, Roccabianca S.   +7 more
europepmc   +1 more source

Material Strategies for Stimulation and Recording in Neural Biocomputing Platforms

Advanced Electronic Materials, EarlyView.
Material strategies enabling stimulation and recording are central to neural biocomputing systems. This review examines how electronic materials govern the encoding of inputs and decoding of outputs in living neural networks. Advances in electrical, optical, and multimodal interfaces highlight emerging design principles for biocomputing platforms ...
Sehong Kang, Junggeon Park, Aryaman Joshi, Rakid Haque, Gyu Weon Hwang, Hyunjoon Kong   +5 more
wiley   +1 more source

Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries

Advanced Energy Materials, EarlyView.
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang, Luca Weckelmann, Baolin Wu, Chih‐Long Tsai, Luc Raijmakers, Rüdiger‐A. Eichel, Anna Windmüller   +6 more
wiley   +1 more source

Rigidity Percolation Dictates Rheological Hysteresis Regime in Polypropylene during Crystallization and Melting. [PDF]

Macromolecules
Roberts P, Snyder CR, Kotula AP.
europepmc   +1 more source

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

Peptide cages: bioinspired supramolecular architectures for next-generation applications. [PDF]

Chem Sci
Adorinni S, Xu H, Nitschke JR, Marchesan S.   +3 more
europepmc   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source