Results 81 to 90 of about 47,461 (267)

RGS16 Aggravates Hepatic Ischemia‐Reperfusion Injury via Hepatocyte‐Intrinsic Apoptosis/Inflammation & Neutrophil Recruitment/NETosis

Advanced Science, EarlyView.
RGS16 competitively interferes with the YTHDF3–PAN3 complex to prevent CXCL1 mRNA decay during hepatic ischemia‐reperfusion injury. Stabilized CXCL1 strengthens hepatocyte injury, neutrophil recruitment, and NET‐associated inflammation, uncovering how stress‐induced RGS16 converts post‐transcriptional regulation into immune‐mediated liver damage ...
Xinglong Li, Zhanzhi Meng, Hongjun Yu, Yongliang Hua, Zihao Li, Bing Yin, Baolin Qian, Zhongyu Li, Yongzhi Zhou, Zhigang Feng, Shounan Lu, Shanjia Ke, Miaoyu Bai, Yao Fu, Wei Tang, Natalia V. Belosludtseva, Yong Ma   +16 more
wiley   +1 more source

Malignant progression of liver cancer progenitors requires lysine acetyltransferase 7–acetylated and cytoplasm‐translocated G protein GαS

Hepatology, EarlyView., 2022
KAT7‐acetylated and cytoplasm‐translocated G‐protein GαS enhances IL‐6 effect and drives HCC progenitor cell progression. Abstract Background and Aims Hepatocarcinogenesis goes through HCC progenitor cells (HcPCs) to fully established HCC, and the mechanisms driving the development of HcPCs are still largely unknown.
Ye Zhou, Kaiwei Jia, Suyuan Wang, Zhenyang Li, Yunhui Li, Shan Lu, Yingyun Yang, Liyuan Zhang, Mu Wang, Yue Dong, Luxin Zhang, Wannian Zhang, Nan Li, Yizhi Yu, Xuetao Cao, Jin Hou   +15 more
wiley   +1 more source

Parametric Analysis of Control Techniques for 15 MW Semi-Submersible Floating Wind Turbine

Applied Sciences
In this study, a composite control algorithm based on classical control methods is developed to achieve all control objectives, such as power production, load reduction, and motion reduction, for the floating wind turbine.
Taesu Jeon, Byung-Soo Kim, Jaecheon Kim, Insu Paek, Chang-Hyuck Lim   +4 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

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

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

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

ĐIỀU KHIỂN HỆ PHI TUYẾN DỰA TRÊN GIẢI THUẬT FEEDFORWARD-FEEDBACK

Tạp chí Khoa học Đại học Cần Thơ, 2011
Bài báo trình bày giải thuật kết hợp giữa bộ điều khiển feedforward và feedback để điều khiển hệ phi tuyến. Feedback phát lệnh điều khiển tức thời và feedforward phát lệnh điều khiển xác lập.
Nguyễn Hoàng Dũng
doaj  

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

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