Results 201 to 210 of about 466,237 (288)

Investigating the clinical pattern of motor relearning in people with multiple sclerosis. [PDF]

Arch Physiother
Cattaneo D, Gervasoni E, Meotti M, Jonsdottir J.   +3 more
europepmc   +1 more source

Nonlinear Response‐History Analyses of Masonry and Mixed Structures With HybriDFEM

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT The hybrid discrete‐finite element (HybriDFEM) method, previously developed to perform static and modal analysis in discrete and coupled discrete‐finite element models, is extended to nonlinear response‐history analyses. The equations of motion for the HybriDFEM model are solved through various numerical time‐integration schemes, both explicit
Igor Bouckaert, Michele Godio, João Pacheco de Almeida   +2 more
wiley   +1 more source

Life-History Plasticity of Cultured <i>Coreius guichenoti</i>: Energy Allocation Trade-Offs and Conservation Applications. [PDF]

Animals (Basel)
Xiang M, Liu H, Meng Z, Zhao Y, Yin C, Li X, Wu X, Zhu T.   +7 more
europepmc   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

Low‑<i>Q</i> Asymptotic Behavior of the Effective Structure Factor Yields Model-Independent Radius of Interparticle Interaction (<i>R</i> _<i>i</i> ). [PDF]

ACS Meas Sci Au
Edwards CER, Leite WC, Liu Y.
europepmc   +1 more source

Research on Deformation Prediction of Small Interval Tunnel Based on Machine Learning and Numerical Simulation

Energy Science &Engineering, EarlyView.
This study leverages machine learning algorithms—specifically artificial neural networks (ANN) and genetic programming (GP)—to forecast and analyze variations in vault settlement measurements during excavation of small interval tunnel. A settlement prediction model was developed and validated through comparative analysis with regression to evaluate the
Wenjie Zhai, Jia Xue, Yongjie Fu, Beichen Yu, Yan Zhu, Man Yuan, Mingbo Chi, Zhentao Li   +7 more
wiley   +1 more source

Time-space multiscale model for viscoelastic construction materials using the initial stress method. [PDF]

iScience
Wang X, Wang Y, Qiang H, Bai J, Zhao Z, Hou X.   +5 more
europepmc   +1 more source

Renewable Energy Use, Agricultural Productivity, and Economic Expansion Impact on Environmental Sustainability in India

Energy Science &Engineering, EarlyView.
ABSTRACT This research aims to explore the effects of agricultural productivity and the use of renewable energy sources on India's CO2 emissions while taking economic expansion into concern based on data during 1985–2022. This study applies the autoregressive distributed lag (ARDL) technique, dynamic‐ordinary least square (DOLS), fully‐modified ...
Palanisamy Manigandan, Radulescu Magdalena, Duraisamy Pachiyappan, Nadia Sha, Marian Cristescu   +4 more
wiley   +1 more source

Feeding rates in sessile versus motile ciliates are hydrodynamically equivalent. [PDF]

Elife
Liu J, Man Y, Costello JH, Kanso E.
europepmc   +1 more source

General asymptotic scales and computer algebra

, 1992
In many natural applications, one encounters asymptotic expansions of a form more complicated than mere Puiseux series. Existing computer algebra systems lack good algorithms for handling such asymptotic expansions. We present tools that permit the representation and automatic handling of general exp-log asymptotic expansions.
openaire   +1 more source