Results 191 to 200 of about 558,384 (291)

Existence and stability of time-fractional Keller-Segel-Navier-Stokes system with Poisson jumps. [PDF]

Sci Rep
Divyabala K, Durga N.
europepmc   +1 more source

The Prevention of Eating Disorders in Australian Adolescents: A Modeled Cost‐Effectiveness Study

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Prevention programs for eating disorders (EDs) have the potential to reduce the onset of these diseases and improve the mental health and well‐being of the general population. However, there is mixed evidence on whether routine implementation of such programs at the population level is cost‐effective.
Long Khanh‐Dao Le, Eng Joo Tan, Phillipa Hay, Jaithri Ananthapavan, Yong Yi Lee, Cathrine Mihalopoulos   +5 more
wiley   +1 more source

Inference on function-valued parameters using a restricted score test. [PDF]

J R Stat Soc Series B Stat Methodol
Hudson A, Carone M, Shojaie A.
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

Additivity and Chain Rules for Quantum Entropies via Multi-index Schatten Norms. [PDF]

Commun Math Phys
Fawzi O, Kochanowski J, Rouzé C, Van Himbeeck T.   +3 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

Signpost Testing to Navigate the Parameter Space of the Gaussian Graphical Model With High-Dimensional Data. [PDF]

Biom J
Ruan K, van de Wiel MA, van Wieringen WN.   +2 more
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

Estimating the Growth Rate of a Birth and Death Process Using data From a Small Sample. [PDF]

Bull Math Biol
Heinzel CS, Schweinsberg J.
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