Results 71 to 80 of about 919,498 (296)

Primary Human Tissue Models for Metabolic Dysfunction‐Associated Liver Disease ‐ toward Streamlining Drug Discovery with Patient‐Derived Assays

Advanced Biology, EarlyView.
The review provides a critical up‐to‐date overview of the current landscape of human in vitro models for fatty liver disease, including spheroids, organoids, organ‐on‐a‐chip systems, bioprinted liver constructs and precision‐cut liver slices. Their utility for faithfully modeling different stages of MASLD and MASH are evaluated and their compatibility ...
Sonia Youhanna, Nayere Taebnia, Yingxin Liang, Ningtao Cheng, Yi Wang, Maurice Michel, Volker M. Lauschke   +6 more
wiley   +1 more source

Learning a DFT-based sequence with reinforcement learning: a NAO implementation

Paladyn, 2012
The implementation of sequence learning in robotic platforms offers several challenges. Deciding when to stop one action and continue to the next requires a balance between stability of sensory information and, of course, the knowledge about what action ...
Durán Boris, Lee Gauss, Lowe Robert
doaj   +1 more source

Learning Topology and Dynamics of Large Recurrent Neural Networks

, 2014
Large-scale recurrent networks have drawn increasing attention recently because of their capabilities in modeling a large variety of real-world phenomena and physical mechanisms.
He, Yuejia, She, Yiyuan, Wu, Dapeng
core   +1 more source

First‐Principles Modeling of Solid Solution Softening and Hardening Effects in Al–Mg–Zr–Si Aluminum Alloys

Advanced Engineering Materials, EarlyView.
The role of various alloying elements in face‐centered cubic aluminum on the barrier of a Shockley partial dislocation during its motion is presented. The study aims to understand how alloying atoms such as Mg, Si, and Zr affect the energy landscape for dislocation motion, thus influencing the solid solution hardening and softening in aluminum, which ...
Inna Plyushchay, Zhengqing Wei, Nebahat Bulut, Sibylle Gemming   +3 more
wiley   +1 more source

Exploration and Exploitation of New Knowledge Emergence to Improve the Collective Intelligent Decision-Making Level of Web-of-Cells With Cyber-Physical-Social Systems Based on Complex Network Modeling

IEEE Access, 2018
Through exploration and exploitation of new knowledge emergence, the collective intelligent decision-making (CID) level of Web-of-Cells (WoC) proposed by ELECTRA will be dramatically improved.
Lefeng Cheng, Tao Yu
doaj   +1 more source

Robot‐Assisted Automated Serial‐Sectioning and Imaging for 3D Microstructural Investigations

Advanced Engineering Materials, EarlyView.
A fully automated 3D microstructure characterization platform provides new insights into materials. This robot‐assisted system performs serial‐sectioning, etching, and optical imaging to generate large‐volume 3D reconstructions with submicron resolution.
Michael Moschetti, Anton Lemiasheuski, Evgenia Bajer, Ilja Porohovoj, Artur Göbel, Anja Pfennig, Dirk Bettge, Robert Maaß   +7 more
wiley   +1 more source

Learning Transformed Dynamics for Efficient Control Purposes

Mathematics
Learning linear and nonlinear dynamical systems from available data is a timely topic in scientific machine learning. Learning must be performed while enforcing the numerical stability of the learned model, the existing knowledge within an informed or ...
Chady Ghnatios, Joel Mouterde, Jerome Tomezyk, Joaquim Da Silva, Francisco Chinesta   +4 more
doaj   +1 more source

High‐Entropy Alloy Design Toward Cobalt Substitution for High Hardness and Low Wear Rate Using X–Cr–Fe–Mn–Ni System

Advanced Engineering Materials, EarlyView.
This study explores the replacement of cobalt using the high‐entropy alloy design strategy for wear‐resistant components operating at high temperatures. Starting from the Cantor alloy, cobalt is substituted with Cu, Al, V, or Mo. Metallurgical and tribological analyses reveal that aluminum, vanadium, and molybdenum effectively strengthen the developed ...
Rafaël Jénot, Laurent Peltier, Fodil Meraghni, Mathieu Marquer, Oriane Baulin, Clotilde Macke‐Bart   +5 more
wiley   +1 more source

The stability of macroeconomic systems with Bayesian learners [PDF]

We study abstract macroeconomic systems in which expectations play an important role. Consistent with the recent literature on recursive learning and expectations, we replace the agents in the economy with econometricians.
Jacek Suda, James B. Bullard
core  

Photoswitchable Conductive Metal–Organic Frameworks

Advanced Functional Materials, EarlyView.
A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu, Mersad Mostaghimi, Abhinav Chandresh, Saibal Jana, Wolfgang Wenzel, Lars Heinke   +5 more
wiley   +1 more source