Results 81 to 90 of about 64,214 (233)

Periodic Random Attractors for Stochastic Navier-Stokes Equations on Unbounded Domains

, 2012
This paper is concerned with the asymptotic behavior of solutions of the two-dimensional Navier-Stokes equations with both non-autonomous deterministic and stochastic terms defined on unbounded domains.
Wang, Bixiang
core   +1 more source

Trained Memory of Uterine Macrophages Improves Subsequent Pregnancy Outcomes

Advanced Science, EarlyView.
This study identifies that pregnancy imprints a durable, pregnancy‐specific form of trained immune memory in uterine macrophages, marked by the emergence of LILRB3+/PIR‐B+ cells that expand across gestations, acquire a tolerogenic and metabolically rewired phenotype, and actively protect against inflammatory pregnancy loss in mice.
Jing Wang, Ning Lu, Xin‐Xiu Lin, Xu‐Hui Fang, Yi‐Hui Li, Qing‐Peng Luo, Yu‐Ting Peng, Gil Mor, Ai‐Hua Liao   +8 more
wiley   +1 more source

Self‐Amplifying Redox Cycle Triggers Ferroptosis/Cuproptosis Synergy for Enhanced Bacterial Eradication

Advanced Science, EarlyView.
This study designs a targeted nanocomposite (ct@HMCF‐Dex) that responds to acidic infection microenvironments, releasing components which amplify oxidative stress. It disrupts bacterial redox balance, chelates metals to sustain lipid peroxidation, and synergistically induces cuproptosis/ferroptosis‐like death.
Zehui Xiao, Shaolong Qiu, Jiangli Cao, Jifeng Liu, Zhiyong Song, Ting Du, Xinjun Du   +6 more
wiley   +1 more source

Revisiting Target‐Aware de novo Molecular Generation with TarPass: Between Rational Design and Texas Sharpshooter

Advanced Science, EarlyView.
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin, Zijie Chen, Yurong Li, Meijing Fang, Longji Shen, Yilong Su, Odin Zhang, Qinghan Wang, Qun Su, Jike Wang, Tingjun Hou, Yu Kang   +11 more
wiley   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Enabling Stochastic Dynamic Games for Robotic Swarms

Advanced Intelligent Systems, EarlyView.
This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley   +1 more source

Risk‐aware safe reinforcement learning for control of stochastic linear systems

Asian Journal of Control, EarlyView.
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili, Nariman Niknejad, Hamidreza Modares   +2 more
wiley   +1 more source

Affinity Peptides With pH Sensitivity for the Enrichment of CD38+ Cells

Biotechnology and Bioengineering, EarlyView.
ABSTRACT The selective enrichment of cell populations based on surface markers is critical for the advancement of gene and cell therapies. Current antibody‐based cell isolation methods, such as fluorescence‐ and magnetic‐activated cell sorting (FACS and MACS), offer high specificity but are limited by scalability, cost, and potential adverse effects on
Gabrielle Rusch, Mickael Meyer, I. Mohamed Irfan, Carson Huber, Joseph Burclaff, Scott T. Magness, Stefano Menegatti, Michael Daniele   +7 more
wiley   +1 more source

Advanced control of non‐isothermal axial dispersion tubular reactors with recycle‐induced state delay

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract We develop a delay‐aware estimation and control framework for a non‐isothermal axial dispersion tubular reactor modelled as a coupled parabolic‐hyperbolic PDE system with recycle‐induced state delay. The infinite‐dimensional dynamics are preserved without spatial discretization by representing the delay as a transport PDE and adopting a late ...
Behrad Moadeli, Stevan Dubljevic
wiley   +1 more source