16 results match your criteria: "Wuhan Qingchuan University[Affiliation]"

Human factors are critical to Occupational Health and Safety (OHS) in construction enterprises. However, comprehensive industry-wide recognition remains challenging, underscoring the need for Human Factors Engineering (HFE) research. This study develops an optimized HFE evaluation model based on fundamental HFE principles.

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How Does Network Media Affect the Efficiency of Emergency Response During Natural Disaster Process?

Disaster Med Public Health Prep

November 2024

College of Landscape Architecture, Zhejiang A&F University, Hangzhou311300, China.

Article Synopsis
  • - This paper analyzes how network media impacts emergency response effectiveness during natural disasters, highlighting the importance of efficient response mechanisms in urban settings.
  • - Using the Data Envelopment Analysis (DEA) model, the study evaluates the efficiency of responses to three specific disasters: the 2021 Zhengzhou heavy rainstorm, the 2022 Super Typhoon Chaba, and the 2022 Luding earthquake.
  • - The results show varying levels of response efficiency, with the Zhengzhou rainstorm response being the most effective, while also discussing key factors like government decisions and rescue operations that influence this efficiency and suggesting strategies for improvement.
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Abusive supervision in healthcare settings can have detrimental effects on employee behavior and patient care, making it crucial to understand the underlying mechanisms and mitigating factors. This study examines the impact of abusive supervision on patient-directed service sabotage, focusing on the mediating role of workplace rudeness and the moderating effect of work ethics. Data were collected from 305 hospital nurses, and structural equation modeling (SEM) was used to test the proposed model.

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Background: Preschool represents the budding and initial stage of bullying behavior, where perpetration of physical bullying predominates as the primary form of bullying. An in-depth understanding of the factors linked to preschool physical bullying behavior is crucial for enabling early prevention and intervention strategies.

Objective: The purpose of this study was to examine the relationship between Theory of Mind and physical bullying behavior in 4-6 years old children in kindergarten and the mediating role of peer rejection and gender in this relationship.

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Carbon emissions have become a global challenge, and China, as the world's largest developing country, has a serious emissions problem. Developing green buildings is an important way of reducing carbon emissions. China's low-carbon city pilot policy may be an effective way of promoting green building development and reducing these emissions.

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Background: The cognitive skills underlying critical thinking include analysis, interpretation, evaluation, explanation, inference, and self-regulation. The study aims to consider the possibility and effectiveness of introducing the mobile game Lumosity: Brain Training into the learning process of first-year Philology students studying at Qiqihar University.

Methods: The sample included 30 volunteers: 15 girls and 15 boys, whose average age was 18.

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EFL/ESL teachers have used digital communication activities to teach language skills. However, the effect of digital communication activities on EFL learners' Willingness to Communicate (WTC) in classrooms and learner engagement has yet to be well investigated. This study examined the influence of digital communication activities on the engagement and willingness to communicate of intermediate English as a Foreign Language (EFL) learners.

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The occupational health and safety management factors of construction enterprises are critical influencing factors in their training management, and their causal principles are topics that warrant profound exploration. Drawing upon the conventional five factors, this study initially posited and authenticated a causal model among them, subsequently employing system dynamics on the NetLogo platform to dynamically simulate the model, and ultimately scrutinizing the interrelations and dynamic influence degree among the factors. The results show that the direct causes of management factors include human factors (weight coefficient of 0.

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Previous studies have examined the relationships between some antecedents and social media addiction. However, an important factor - social exclusion - has not received enough attention in the literature, the underlying psychological mechanisms that link social exclusion to social media addiction are still unclear. The current study investigated the relation between social exclusion and social media addiction as well as the mediating effects of anger and impulsivity on this relationship.

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Background: In recent years, people have paid more and more attention to the health hazards caused by O3 exposure, which will become a major problem after fine particulate matter (PM).

Objective: To investigate the effects of ozone (O3) exposure on blood glucose levels in rats under different concentrations and times.

Methods: Eighty rats were divided into control group and three ozone concentration groups.

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The Smartphone Addiction Scale Short Version (SAS-SV) has been widely used in research, but little is known about the measurement invariance across gender. The current study measured SAS-SV invariance between male and female college students in a sample of 1112 participants. Single- and multiple-group confirmatory factor analyses (CFAs) of smartphone addiction symptom ratings were conducted using R program with RStudio.

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Previous studies have identified many antecedents of smartphone addiction. However, social exclusion as a risk factor for smartphone addiction has not been widely studied, and little is known concerning the psychological mechanism underlying this association. The present study tested the influence of social exclusion on smartphone addiction as well as the mediating roles of loneliness and self-control in this relationship.

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Limited Duplication-Based List Scheduling Algorithm for Heterogeneous Computing System.

Micromachines (Basel)

July 2022

Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System, College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430065, China.

Efficient scheduling algorithms have been a leading research topic for heterogeneous computing systems. Although duplication-based scheduling algorithms can significantly reduce the total completion time, they are generally accompanied by an exorbitant time complexity. In this paper, we propose a new task duplication-based heuristic scheduling algorithm, LDLS, that can reduce the total completion time and maintains a low time complexity.

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Article Synopsis
  • Ranking-oriented cross-project defect prediction (ROCPDP) aims to predict defects in new software projects by ranking modules based on their predicted defect count, but suffers from differences in data distributions between source and target projects.
  • The study analyzed nine training data selection methods to see how they affect ROCPDP model performance, revealing no significant differences in performance metrics between the methods.
  • While ROCPDP models using filtered cross-project data underperformed compared to ROWPDP models with ample within-project data, they outperformed ROWPDP models that had limited within-project data, suggesting that using data from other projects can be beneficial when within-project data is scarce.
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Improving Ponzi Scheme Contract Detection Using Multi-Channel TextCNN and Transformer.

Sensors (Basel)

September 2021

School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China.

With the development of blockchain technologies, many Ponzi schemes disguise themselves under the veil of smart contracts. The Ponzi scheme contracts cause serious financial losses, which has a bad effect on the blockchain. Existing Ponzi scheme contract detection studies have mainly focused on extracting hand-crafted features and training a machine learning classifier to detect Ponzi scheme contracts.

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Occupational health and safety (OHS) training is an important way to prevent construction safety risks. However, the effectiveness of OHS training in China is questionable. In this study, the CHAID (chi-squared automatic interaction detection) decision tree, chi-square analysis, and correlation analysis were used to explore the main, secondary, weak, unrelated, and expectation factors affecting the effectiveness of training.

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