Results 151 to 160 of about 25,397 (329)

Slip‐Adaptive Neural Control of Gecko‐Inspired Adhesive Robots

Advanced Intelligent Systems, EarlyView.
This study introduces a neural adhesion controller to improve the stability of gecko‐inspired climbing robots. By integrating an echo state network and a multilayer perceptron, the system utilizes joint torque feedback to accurately estimate adhesion in both normal and shear directions and predict slips. This enables effective recovery from slip events,
Donghao Shao, Jian Chen, Guangyuan Zang, Yang Li   +3 more
wiley   +1 more source

Controlling Dynamical Systems Into Unseen Target States Using Machine Learning

Advanced Intelligent Systems, EarlyView.
Parameter‐aware next‐generation reservoir computing enables efficient, data‐driven control of dynamical systems across unseen target states and nonstationary transitions. The approach suppresses transient behavior while navigating system collapse scenarios with minimal training data—over an order of magnitude less than traditional methods.
Daniel Köglmayr, Alexander Haluszczynski, Christoph Räth   +2 more
wiley   +1 more source

Comparing the Latent Features of Universal Machine‐Learning Interatomic Potentials

Advanced Intelligent Systems, EarlyView.
This study quantitatively assesses how universal machine‐learning interatomic potentials encode the chemical space into latent features, showing unique model‐specific representations with high cross‐model reconstruction errors. It explores how training datasets, protocols, and targets affect these encodings.
Sofiia Chorna, Davide Tisi, Cesare Malosso, Wei Bin How, Michele Ceriotti, Sanggyu Chong   +5 more
wiley   +1 more source

DNase1 RS1053874 Polymorphism is Associated with Early Neurological Recovery through NET Modulation and with Long‐Term Survival in Ischemic Stroke: A Prospective Cohort Study

Annals of Neurology, EarlyView.
Objective Immunothrombosis contributes to ischemic stroke pathophysiology through neutrophil extracellular trap (NET) formation, which promotes thrombus stabilization and microvascular dysfunction. DNase1 is the principal endonuclease responsible for NET degradation.
B. Díaz‐Benito, P. Calleja, L. Alzamora, A. Ruiz‐García, A. Martínez‐Salio, M. Muñoz‐García, F. Ostos, A. García‐Culebras, A. Moraga, M.A. Moro, I. Lizasoain   +10 more
wiley   +1 more source

Ridge-Type Shrinkage Estimators in Low and High Dimensional Beta\n Regression Model with Application in Econometrics and Medicine [PDF]

, 2021
Ejaz Ahmed, Reza Arabi Belaghi, Yasin Asar, Abdulkhadir Hussein   +3 more
openalex   +1 more source

Tau Pathology in Alzheimer's Disease Uniquely Affects Sulcal Depths

Annals of Neurology, EarlyView.
Objective Though it is widely known that tau deposition affects brain structure, the precise localization of these effects is poorly understood, especially in relation to gyral and sulcal anatomy. We investigated whether tau pathology in Alzheimer's disease (AD) preferentially affects sulci, and particularly sulcal depths.
Samira A. Maboudian, Corrina S. Fonseca, Adam C. Martersteck, Yishu Chao, Yuheng Chen, Daniela Ushizima, Duygu Tosun, Lea T. Grinberg, Kevin S. Weiner, William J. Jagust, for the Alzheimer's Disease Neuroimaging Initiative   +10 more
wiley   +1 more source

Individualized Treatment in Distal and Medium Vessel Occlusion Stroke Using a Validated Explainable Counterfactual Treatment Estimation Model

Annals of Neurology, EarlyView.
Objective The optimal treatment for distal medium vessel occlusion (DMVO) stroke remains uncertain, and evidence comparing endovascular therapy (EVT) with medical management (MM) is limited. We aimed to develop and validate a predictive modeling tool to assess individual treatment benefit in DMVO stroke using explainable counterfactual treatment ...
Mohamed F. Doheim, Mahmoud H. Mohammaden, Hend Abdelhamid, Marta Olive‐Gadea, Marc Rodrigo‐Gisbert, Manuel Requena, Johanna T. Fifi, James E. Siegler, Santiago Ortega‐Gutierrez, Mohamad Abdalkader, Ali Alaraj, Wei Hu, Thanh N. Nguyen, Diogo C. Haussen, Raul G. Nogueira   +14 more
wiley   +1 more source

Generalized Ridge Regression Estimator in High Dimensional Sparse Regression Models

, 2018
Mahdi Roozbeh
openalex   +2 more sources

RELAXATION METHOD FOR TWO STAGES RIDGE REGRESSION ESTIMATOR [PDF]

, 2013
Hussein Eledum, Mostafa Zahri
openalex   +1 more source

Staged Diversity‐Constrained Machine Learning for High‐Dimensional Reaction Condition Optimization

Angewandte Chemie International Edition, EarlyView.
Staged diversity‐constrained modeling enables efficient navigation of high‐dimensional reaction spaces, validated on cross‐coupling HTE data and applied to ruthenium‐catalyzed meta‐C─H functionalization. ABSTRACT Optimizing reaction conditions in high‐dimensional chemical spaces remains a central challenge in modern synthesis.
Shu‐Wen Li, Shan Chen, João C. A. Oliveira, Shuo‐Qing Zhang, Lutz Ackermann, Xin Hong   +5 more
wiley   +1 more source