This study examines multidimensional factors affecting climate change response behavior. It constructs an integrated model based on the theory of planned behavior, value-identity-personal norms model, and protective action decision model, as a single theory cannot capture the complex nature of human behavior. Recent studies have shown that integrating theories include various influencing factors and indicate higher explanatory power. Therefore, this study uses an integrated model to identify multidimensional influencing factors. The fit of the integrated model was confirmed to be excellent (Chi-square = 1271.866, p = .000, GFI = 0.930, NFI = 0.940, RMSEA = 0.060, TLI = 0.937, SRMR = 0.059), and identity exhibited the greatest effect on personal norms, followed by intention on behavior. The integrated model suggests the following path: ecological value → identity → personal norms → stakeholder awareness → intention → behavior and then ecological value → identity → perceived behavioral control → risk awareness → intention → behavior. The results of the integrated model suggest that a multifaceted approach is necessary to promote climate change response behavior. Various factors, such as ecological value, identity, personal norms, stakeholder awareness, perceived behavioral control, and risk awareness, interact and influence behavior. Policies and programs that comprehensively consider these factors should be established.
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http://dx.doi.org/10.1016/j.heliyon.2024.e39337 | DOI Listing |
Top Antivir Med
December 2024
University of California Los Angeles, Los Angeles, California, USA.
Stimulant use disorder poses substantial challenges to the health and well-being of people with HIV, contributing to increased HIV transmission risk and poor clinical outcomes. This article highlights the cultural significance of stimulant use, its epidemiology, and the latest evidencebased interventions for stimulant use disorder among individuals with HIV. Contingency management has emerged as the most effective treatment, with harm-reduction approaches serving as vital tools for improving the health of individuals unable or unwilling to achieve abstinence.
View Article and Find Full Text PDFCurr Biol
December 2024
Durrell Institute of Conservation and Ecology, University of Kent, Canterbury CT2 7NR, UK.
Conservation initiatives strive for reliable and cost-effective species monitoring. However, resource constraints mean management decisions are overly reliant on data derived from single methodologies, resulting in taxonomic or geographic biases. We introduce a data integration framework to optimize species monitoring in terms of spatial representation, the reliability of biodiversity metrics, and the cost of implementation, focusing on tigers and their principal prey (sambar deer and wild pigs).
View Article and Find Full Text PDFComput Biol Chem
January 2025
College of Artificial Intelligence, Tianjin University of Science and Technology, No. 9, 13th Street, Tianjin Economic-Technological Development Area, Tianjin, 300457, China. Electronic address:
The enzyme turnover number (k) is crucial for understanding enzyme kinetics and optimizing biotechnological processes. However, experimentally measured k values are limited due to the high cost and labor intensity of wet-lab measurements, necessitating robust computational methods. To address this issue, we propose PreTKcat, a framework that integrates pre-trained representation learning and machine learning to predict k values.
View Article and Find Full Text PDFNutrition
November 2024
Department of Gastroenterology (LIM-35), School of Medicine, University of São Paulo, São Paulo, Brazil.
Background: Sarcopenia is associated with clinical complications that increase mortality in older adults. Current screening tools, such as Sarc-F and Sarc-CalF, focus primarily on muscular performance but have limited sensitivity in identifying elderly individuals at risk of sarcopenia. The present study aims to develop a more comprehensive sarcopenia risk screening tool, Sarc-Global, which integrates additional anthropometric and clinical variables to enhance the sensitivity and accuracy of sarcopenia risk assessment in older adults.
View Article and Find Full Text PDFJ Environ Manage
January 2025
National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, China.
The pressing need to reduce greenhouse gas emissions and optimize traffic demand underlines the importance of effective travel demand management. Previous studies have explored budget-based and aggregated incentive programs, which diminish a heavy financial burden on governments and tend to be limited in contributing to effective behavior change in practice due to budget issues. This study proposes a personal carbon trading travel incentive (PCTTI) mechanism, to encourage private car commuters using low-carbon travel routes.
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