Results 161 to 170 of about 12,885 (266)

Effect of Cr Content on the Microstructure and Toughness of the Supercritically Coarse-Grained Heat-Affected Zone in X80 Pipeline Steel. [PDF]

Materials (Basel)
Qin Y, Wang F, Li Z, Hu Z, Zhao L, Yin S, Jia S.   +6 more
europepmc   +1 more source

Longitudinal Single‐Axon‐Resolution Imaging of Peripheral Nerve Injury Response in Mice Using an Optical Window Implant

Advanced Science, EarlyView.
A minimally invasive optical window enables stable, long‐term imaging of peripheral nerves in vivo at single‐axon resolution. Dynamic processes of degeneration, regeneration, and cellular remodeling are visualized across multiple time scales within the same nerve region, providing a unique platform to study a variety of anatomical and molecular events ...
Igor D. Luzhansky, Emma Anisman, Ron Perez, Sophia Zhang, Morgan Hoffman, Daniel Hunter, Abigail Cherian, Jevon Bonner, Emilia Feria, Ahmed Ahmed, Muneeb Malik, Junwei Du, Leland C. Sudlow, David M. Brogan, Matthew D. Wood, Mikhail Y. Berezin   +15 more
wiley   +1 more source

Effect of Copper in Gas-Shielded Solid Wire on Microstructural Evolution and Cryogenic Toughness of X80 Pipeline Steel Welds. [PDF]

Materials (Basel)
Peng L, Hong R, Ma QL, Liu NS, Yin SB, Jia SJ.   +5 more
europepmc   +1 more source

Gel‐Amin for Improving Extracellular Recordings of Cardiomyocytes in a 3D Microphysiological System

Advanced Electronic Materials, EarlyView.
This work combines a conductive collagen‐based hydrogel with a laser‐cut and assembly technique to fabricate microphysiological systems that improve extracellular recordings of cardiomyocytes in 3D on microelectrode arrays. The inclusion of choline acrylate into GelMA imparts a higher electrical conductivity and improves the signal‐to‐noise ratio of on‐
Dominic Pizzarella, Katelyn Neuman, Nolan Burson, Abigail N. Koppes, Ryan A. Koppes   +4 more
wiley   +1 more source

Fatigue Life Anisotropy of API 5L X42 Pipeline Steel in Axial Force-Controlled Tests. [PDF]

Materials (Basel)
Beltrán-Zúñiga MA, González-Velázquez JL, Rivas-López DI, Dorantes-Rosales HJ, Ferreira-Palma C, Hernández-Santiago F, Larios-Flores F.   +6 more
europepmc   +1 more source

Chronic Disease Monitoring Using Advanced Compliant Materials for Bioelectronics

Advanced Electronic Materials, EarlyView.
Compliant bioelectronic systems enable continuous monitoring of chronic disease through soft, stretchable materials and tissue‐conformal designs that support stable electrophysiological, mechanical, and biochemical sensing. Integration of diverse sensing modalities with thoughtful material selection, device architectures, and advanced fabrication ...
Han Kim, Mabel Bartlett, Liyang Wang, Karl Bates, Mengdi He, Myungbo Kim, Carmel Majidi, Tzahi Cohen‐Karni   +7 more
wiley   +1 more source

Microbial Corrosion Behavior of L245 Pipeline Steel in the Presence of Iron-Oxidizing Bacteria and <i>Shewanella algae</i>. [PDF]

Microorganisms
Zhu F, Liu Y, Wu C, Li K, Hu Y, Liu W, Yu S, Li M, Dong X, Yu H.   +9 more
europepmc   +1 more source

Atomistic Insights Into Lithium Alloying and Crystallization at Metal Interlayers in Zero‐Excess Lithium Batteries

Advanced Energy Materials, EarlyView.
Molecular dynamics simulations with machine learning potentials, combined with experiments, reveal how interlayer metals govern Li alloying and crystallization in zero‐excess lithium batteries. Mg and Zn promote solid‐solution alloy‐mediated pathways that influence Li diffusion and structural uniformity, while Bi forms ordered intermetallics with more ...
Neubi F. Xavier Jr., Nicolas Rospars, Mohammed Srout, Matthew K. Sharpe, Pablo Hernández‐Martín, Callum D. McAleese, Satheesh Krishnamurthy, Tao Chen, Celia Polop, Andrea Ingenito, Qiong Cai   +10 more
wiley   +1 more source

Influence of H₂S on the Hydrogen Embrittlement Susceptibility of X80 Pipeline Steel in Hydrogen-Doped Natural Gas. [PDF]

ACS Omega
Zhou J, Wu M, Qiu J, Cheng R, Tian M.
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