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The Association Between Metabolic Score for Visceral Fat and Cognitive Function Among Older Adults in the United States.
Nutrients
January 2025
Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao 266071, China.
Background: Although several studies have demonstrated a link between obesity and cognitive function, the majority have primarily utilized body mass index (BMI) and waist circumference, ignoring the distribution of body fat. Evidence regarding the association of metabolic score for visceral fat (METS-VF), a proposed measurement for visceral adipose tissue (VAT), with cognitive function remains limited. We mainly aimed to investigate this association in older adults in the United States.
View Article and Find Full Text PDFHow to improve public environmental health by facilitating metro usage on weekend: exploring the non-linear and threshold impacts of the built environment.
Front Public Health
November 2024
State Key Laboratory of Ocean Engineering, School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China.
Introduction: The accelerated motorization has brought a series of environmental concerns and damaged public environmental health by causing severe air and noise pollution. The advocate of urban rail transit system such as metro is effective to reduce the private car dependence and alleviate associated environmental outcomes. Meanwhile, the increased metro usage can also benefit public and individual health by facilitating physical activities such as walking or cycling to the metro station.
View Article and Find Full Text PDFPhysics-informed two-tier neural network for non-linear model order reduction.
Adv Model Simul Eng Sci
November 2024
Centre for Analysis, Scientific Computing and Applications, Eindhoven University of Technology, Eindhoven, 5600MB The Netherlands.
In recent years, machine learning (ML) has had a great impact in the area of non-intrusive, non-linear model order reduction (MOR). However, the offline training phase often still entails high computational costs since it requires numerous, expensive, full-order solutions as the training data. Furthermore, in state-of-the-art methods, neural networks trained by a small amount of training data cannot be expected to generalize sufficiently well, and the training phase often ignores the underlying physical information when it is applied with MOR.
View Article and Find Full Text PDFAsymmetric effects of remittances on output in expansions and recessions.
Heliyon
November 2024
Department of Finance, College of Business Administration, Ajman University, United Arab Emirates.
Using non-linear methods, we argue that current research on estimates of remittance multipliers in expansions and recessions may yield biased results by ignoring whether remittances are increasing or decreasing. We employ an extended non-linear ARDL model to decompose remittance data into positive and negative shocks during expansions and recessions with data from the top eight remittance-receiving developing countries. We find that a decline in remittances will reduce output in expansions.
View Article and Find Full Text PDFPerception-Guided Quality Metric of 3D Point Clouds Using Hybrid Strategy.
IEEE Trans Image Process
October 2024
Full-reference point cloud quality assessment (FR-PCQA) aims to infer the quality of distorted point clouds with available references. Most of the existing FR-PCQA metrics ignore the fact that the human visual system (HVS) dynamically tackles visual information according to different distortion levels (i.e.
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