Results 151 to 160 of about 178,006 (285)

Correlation between the Molecular Structure and Viscosity Index of CTL Base Oils Based on Ridge Regression. [PDF]

ACS Omega, 2022
Zhang C, Wang H, Yu X, Peng C, Zhang A, Liang X, Yan Y.   +6 more
europepmc   +1 more source

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

Ridge Regression Method and Bayesian Estimators under Composite LINEX Loss Function to Estimate the Shape Parameter in Lomax Distribution. [PDF]

Comput Intell Neurosci, 2022
Yassen MF, Al-Duais FS, Almazah MMA.
europepmc   +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

Performance evaluation of different regression models: application in a breast cancer patient data

Scientific Reports
This paper provides a comprehensive analysis of linear regression models, focusing on addressing multicollinearity challenges in breast cancer patient data.
Mona Mahmoud Abo El Nasr, Alaa A. Abdelmegaly, Doaa A. Abdo   +2 more
doaj   +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

Bayesian ridge regression shows the best fit for SSR markers in Psidium guajava among Bayesian models. [PDF]

Sci Rep, 2021
da Silva FA, Viana AP, Correa CCG, Santos EA, de Oliveira JAVS, Andrade JDG, Ribeiro RM, Glória LS.   +7 more
europepmc   +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