98%
921
2 minutes
20
At present, China's engineering safety management has developed to a certain level, but the number of casualties caused by construction accidents is still increasing in recent years, and the safety problems in the construction industry are still worrying. For purpose of effectively reducing construction workers' unsafe behavior and improve the efficiency of construction safety management, based on multi-agent modeling, this paper analyzes the influencing factors during construction workers' cognitive process from the perspective of safety cognition, constructs the interaction and cognition of the agent under the bidirectional effect of formal rule awareness and conformity mentality model, and set behavior rules and parameters through the Net Logo platform for simulation. The results show that: Unsafe behavior of construction workers is related to the failure of cognitive process, and the role of workers' psychology and consciousness will affect the cognitive process; The higher the level of conformity intention of construction workers, the easier it is to increase the unsafe behavior of the group; Formal rule awareness can play a greater role only when the management standard is at a high level, and can correct the workers' safety cognition and effectively correct the workers' unsafe behavior; Under certain construction site environmental risks, the interaction between formal rule awareness and conformity mentality in an appropriate range is conducive to the realization of construction project life cycle management. This study has certain theoretical and practical significance for in-depth understanding of safety cognition and reducing unsafe behavior of construction team.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717065 | PMC |
http://dx.doi.org/10.3389/fpsyg.2021.794394 | DOI Listing |
Temperature (Austin)
March 2025
Department of Anaesthesiology and Intensive Care, Akershus University Hospital, Lørenskog, Norway.
Swimming in cold water is intrinsically unsafe. One of the threats is a fall in deep-body temperature, which adversely affects all body systems and increases the risk of death. Wetsuits mitigate, but do not negate this threat.
View Article and Find Full Text PDFBMJ Public Health
September 2025
School of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Introduction: Curbing adolescent vaping is a public health priority and little evidence exists examining protective factors. Using a strength-based approach, this study explored the relationship between adolescent vaping health perceptions and vaping use.
Methods: Cross-sectional data from 9000 Australian adolescents aged 14-17 years recruited via multiple online panels as part of the Generation Vape Study were used.
Risk Anal
September 2025
Faculty of Environment, University of Tehran, Tehran, Iran.
The high frequency of occupational accidents in manufacturing industries highlights deficiencies in controlling unsafe workplace conditions and behaviors. The automotive sector, as a cornerstone for related industries, has made a significant contribution to these statistics. This study examines the influence of hazard prevention and control on safety outcomes, focusing on the mediating role of safety behaviors and the moderating role of safety leadership within Iran's automotive industry.
View Article and Find Full Text PDFFront Reprod Health
August 2025
Division of Epidemiology & Biostatistics, School of Public Health, University of Illinois Chicago, Chicago, IL, United States.
Introduction: Adolescent sexual and reproductive health in low- and middle-income countries is critical to address following the COVID-19 pandemic. Growing evidence of its' impact includes increased teenage pregnancies and higher rates of unsafe abortion. Our qualitative study sought to understand perspectives and behaviours around these escalations.
View Article and Find Full Text PDFJ Eval Clin Pract
September 2025
Academic Unit of Population and Lifespan Sciences, School of Medicine, Nottingham City Hospital Campus, University of Nottingham, Clinical Sciences Building, Nottingham, UK.
Background: Artificial intelligence (AI) is increasingly applied across healthcare and public health, with evidence of benefits including enhanced diagnostics, predictive modelling, operational efficiency, medical education, and disease surveillance.However, potential harms - such as algorithmic bias, unsafe recommendations, misinformation, privacy risks, and sycophantic reinforcement - pose challenges to safe implementation.Far less attention has been directed to the public health threats posed by artificial general intelligence (AGI), a hypothetical form of AI with human-level or greater cognitive capacities.
View Article and Find Full Text PDF