Results 81 to 90 of about 47,518 (218)

A Biofabricated Human Acinus‐on‐a‐Chip Unveils Mechanotransductive Drivers of Ventilator‐Induced Lung Injury via Decoupling Volutrauma and Barotrauma

Advanced Science, EarlyView.
This bioinspired acinus‐on‐a‐chip recapitulates VILI pathology, revealing that volutrauma drives P53/NF‐κB pathways while barotrauma triggers mitochondrial‐Wnt dysregulation. A fibrotic transitional cell cluster was identified. Pharmacological interventions targeting these pathways significantly ameliorated injury, establishing a mechanobiological ...
Heng Lu, Liansheng Liu, Zengyong Hu, Shuxian Fang, Ruohan Ren, Sidi Liu, Meng Zhao, Zhiting Luo, Ziyue Zhang, Wenlong Shao, Qian Liu   +10 more
wiley   +1 more source

ALK1 controls hepatic vessel formation, angiodiversity, and angiocrine functions in hereditary hemorrhagic telangiectasia of the liver

Hepatology, EarlyView., 2022
Hepatic endothelial Alk1 signaling protects from development of vascular malformations while maintaining organ‐specific endothelial differentiation and angiocrine portmanteau of the names Wingless and Int‐1 signaling. Abstract Background and Aims In hereditary hemorrhagic telangiectasia (HHT), severe liver vascular malformations are associated with ...
Christian David Schmid, Victor Olsavszky, Manuel Reinhart, Vanessa Weyer, Felix A. Trogisch, Carsten Sticht, Manuel Winkler, Sina W. Kürschner, Johannes Hoffmann, Roxana Ola, Theresa Staniczek, Joerg Heineke, Beate K. Straub, Jens Mittler, Kai Schledzewski, Peter ten Dijke, Karsten Richter, Steven Dooley, Cyrill Géraud, Sergij Goerdt, Philipp‐Sebastian Koch   +20 more
wiley   +1 more source

Neural Dynamics of Feedforward and Feedback Processing in Figure-Ground Segregation

Frontiers in Psychology, 2014
Determining whether a region belongs to the interior or exterior of a shape (figure-ground segregation) is a core competency of the primate brain, yet the underlying mechanisms are not well understood.
Oliver W. Layton, Ennio eMingolla, Arash eYazdanbakhsh   +2 more
doaj   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Janus kinase 2 inhibition by pacritinib as potential therapeutic target for liver fibrosis

Hepatology, EarlyView., 2022
Diagram of the activation of the profibrotic and procontractile Janus kinase 2 (JAK2)/Ras homolog family member A/Rho‐kinase pathway and the inhibition of phosphorylated JAK2 by pacritinib to inhibit hepatic stellate cell activity. Abstract Background and Aims Janus kinase 2 (JAK2) signaling is increased in human and experimental liver fibrosis with ...
Sandra Torres, Cristina Ortiz, Nadine Bachtler, Wenyi Gu, Leon D. Grünewald, Nico Kraus, Robert Schierwagen, Christoph Hieber, Caroline Meier, Olaf Tyc, Maximilian Joseph Brol, Frank Erhard Uschner, Bart Nijmeijer, Christoph Welsch, Marie‐Luise Berres, Carmen Garcia‐Ruiz, Jose Carlos Fernandez‐Checa, Christian Trautwein, Thomas J. Vogl, Stefan Zeuzem, Jonel Trebicka, Sabine Klein   +21 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

Feedforward equilibrium trajectory optimization with GSPulse

Nuclear Fusion
One of the common tasks required for designing new plasma scenarios or evaluating capabilities of a tokamak is to design the desired equilibria using a Grad-Shafranov (GS) equilibrium solver.
J.T. Wai, M.D. Boyer, D.J. Battaglia, A. Merle, F. Carpanese, F. Felici, M. Kochan, E. Kolemen   +7 more
doaj   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source