Results 91 to 100 of about 186,586 (268)

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

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

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 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  

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

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

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