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He L, Su M, Bie L, Ha Y, Wu F, Mu W, Ma X. Maternal life events, anxiety, social support, and prenatal depression among pregnant women: a cross-sectional study in Yinchuan, China. PSYCHOL HEALTH MED 2025:1-20. [PMID: 40275694 DOI: 10.1080/13548506.2025.2496996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 04/17/2025] [Indexed: 04/26/2025]
Abstract
While the association between life events and depression has been well-established, the mechanisms linking life events to depression in pregnant women require further exploration. This study aimed to explore the association between maternal life events and depression, with anxiety and social support as potential influencing factors. A cross-sectional study was conducted from January 2020 to December 2021 among 1767 pregnant women recruited via convenience sampling from a tertiary hospital in Yinchuan, China. Participants completed the Patient Health Questionnaire-9 (PHQ-9), Life Events Scale for Pregnant Women (LESPW), Generalized Anxiety Disorder scale (GAD-7), and Social Support Rating Scale (SSRS). Data were analyzed using SPSS 26.0 and PROCESS 3.5. The key findings revealed that: maternal life events were positively associated with depression, with a total effect of 0.323 (95%CI = 0.283-0.363, p < 0.001) and a direct effect of 0.117 (95%CI = 0.084-0.151, p < 0.001). Anxiety partially mediated this association, accounting for 63.8% of the total effect (indirect effect = 0.206, 95%CI = 0.175-0.239, p < 0.001). Social support and its three dimensions negatively influenced the association between maternal life events and anxiety(moderating effects: overall social support β=-0.840, subjective support β=-0.786, objective support β=-0.360, support utilization β=-0.441, all p < 0.01). These findings suggest that maternal life events influence prenatal depression both directly and indirectly, while social support mitigates anxiety triggered by stressors. Targeted interventions to reduce life event exposure and strengthen social support may alleviate anxiety and depression in pregnant women.
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Affiliation(s)
- Li He
- School of Humanities and Management, Ningxia Medical University, Yinchuan, China
| | - Mei Su
- School of Humanities and Management, Ningxia Medical University, Yinchuan, China
| | - Li Bie
- Obstetrics and Gynecology Department of Yinchuan Maternal and Child Health Hospital, Yinchuan, China
| | - Yingchun Ha
- Obstetrics and Gynecology Department of Yinchuan Maternal and Child Health Hospital, Yinchuan, China
| | - Fangyuan Wu
- School of Humanities and Management, Ningxia Medical University, Yinchuan, China
| | - Weidong Mu
- School of Humanities and Management, Ningxia Medical University, Yinchuan, China
| | - Xiaoqin Ma
- School of Humanities and Management, Ningxia Medical University, Yinchuan, China
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Hu F, Yang H, Qiu L, Wei S, Hu H, Zhou H. Spatial structure and organization of the medical device industry urban network in China: evidence from specialized, refined, distinctive, and innovative firms. Front Public Health 2025; 13:1518327. [PMID: 40161027 PMCID: PMC11949875 DOI: 10.3389/fpubh.2025.1518327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2024] [Accepted: 02/21/2025] [Indexed: 04/02/2025] Open
Abstract
Introduction Investigating the network of firms in a specific industry helps explain industrial location and urban functions and provides guidelines for promoting industrial restructuring and high-quality development. Methods This study develops a network model for the relationship between firms and cities based on the data of listed Specialized, Refined, Distinctive, and Innovative (SRDI) medical device manufacturing firms in China to identify the spatial distribution and influencing factors of the urban network of such firms using network analysis and GeoDetector. Results and disscusion Three conclusions are obtained from the study. First, the urban network of listed SRDI medical device manufacturing firms exhibits a sparse structure, with the density decreasing from east to west, and the out-degree presenting significant spatial concentration. Suzhou, Shanghai, and Shenzhen are the core of the network power. The in-degree presents low spatial concentration. Clearly differentiated network functions are observed. Second, significant spatial differences are noted between high- and low-level linkage networks from the perspective of corporate governance structure. Third, economic level, labour costs, level of opening-up, talent base, and technological innovation capability have significant effects on the urban network of listed SRDI medical device manufacturing firms.
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Affiliation(s)
- Feng Hu
- Institute of International Business & Economics Innovation and Governance, Shanghai University of International Business and Economics, Shanghai, China
| | - Huijie Yang
- International Business School, Shanghai University of International Business and Economics, Shanghai, China
| | - Liping Qiu
- CEEC Economic and Trade Cooperation Institute, Ningbo University, Ningbo, China
| | - Shaobin Wei
- Institute of Digital Economy and Financial Powerhouse Building, Guangdong University of Finance, Guangzhou, China
| | - Hao Hu
- School of Economics, Shanghai University, Shanghai, China
| | - Haiyan Zhou
- Graduate School, Nueva Ecija University of Science and Technology, Cabanatuan, Philippines
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Chen W, Lian M. Analysis and early warning management of resource and environmental carrying capacity in agricultural provinces: A case study of Henan Province. PLoS One 2025; 20:e0318848. [PMID: 39937812 PMCID: PMC11819571 DOI: 10.1371/journal.pone.0318848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2024] [Accepted: 01/23/2025] [Indexed: 02/14/2025] Open
Abstract
Resources and Environmental Carrying Capacity (RECC) is a comprehensive concept that encompasses the interactions between resources, the environment, and human activities, serving as the foundation for social development strategies. To adequately reflect this complex relationship, a multi-level, multi-dimensional evaluation indicator system must be developed. This paper constructs a regional soil environmental evaluation system incorporating PM2.5 indicators, which is in line with relevant environmental protection policies and planning orientations in our country from 2014 to 2023. It analyzes the level and development trend of RECC in Henan Province and proposes measures for effective management. The results indicate the following: (1) The RECC in Henan Province demonstrates a downward trajectory, marked by temporary fluctuations over time. It hit its nadir in 2019, subsequently undergoing a gradual resurgence; (2) Analysis of individual dimension indicators reveals that the natural carrying capacity has declined from a medium to a relatively weaker level. Meanwhile, environmental carrying capacity has shown a slight downward trend but has generally remained stable. In contrast, socio-economic carrying capacity has demonstrated an upward trend, rising from a medium to a relatively strong level. In terms of early warning measures, it is essential to establish a red warning zone, implement a credit record accountability system, and develop a monitoring warning database along with an information technology platform. This paper demonstrates that the indicator system is effective for evaluating RECC across different dimensions and holds significant reference value for assessing RECC in similar regions.
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Affiliation(s)
- Weidong Chen
- Tianjin University School of Economics and Management, Tianjin, China
| | - Meng Lian
- Tianjin University School of Economics and Management, Tianjin, China
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Kousar F, Sultana A, Albahar MA, Shamkuwar M, Heyat MBB, Hayat MAB, Parveen S, Lira JIG, Rahman K, Alammari A, Sayeed E. A cross-sectional study of parental perspectives on children about COVID-19 and classification using machine learning models. Front Public Health 2025; 12:1373883. [PMID: 39882116 PMCID: PMC11776296 DOI: 10.3389/fpubh.2024.1373883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Accepted: 11/26/2024] [Indexed: 01/31/2025] Open
Abstract
Background and objective This study delves into the parenting cognition perspectives on COVID-19 in children, exploring symptoms, transmission modes, and protective measures. It aims to correlate these perspectives with sociodemographic factors and employ advanced machine-learning techniques for comprehensive analysis. Method Data collection involved a semi-structured questionnaire covering parental knowledge and attitude on COVID-19 symptoms, transmission, protective measures, and government satisfaction. The analysis utilised the Generalised Linear Regression Model (GLM), K-Nearest Neighbours (KNN), Support Vector Machine (SVM), Random Forest (RF), Naive Bayes (NB), and AdaBoost (AB). Results The study revealed an average knowledge score of 18.02 ± 2.9, with 43.2 and 52.9% of parents demonstrating excellent and good knowledge, respectively. News channels (85%) emerged as the primary information source. Commonly reported symptoms included cough (96.47%) and fever (95.6%). GLM analysis indicated lower awareness in rural areas (β = -0.137, p < 0.001), lower attitude scores in males compared to females (β = -0.64, p = 0.025), and a correlation between lower socioeconomic status and attitude scores (β = -0.048, p = 0.009). The SVM classifier achieved the highest performance (66.70%) in classification tasks. Conclusion This study offers valuable insights into parental attitudes towards COVID-19 in children, highlighting symptom recognition, transmission awareness, and preventive practices. Correlating these insights with sociodemographic factors underscores the need for tailored educational initiatives, particularly in rural areas, and for addressing gender and socioeconomic disparities. The efficacy of advanced analytics, exemplified by the SVM classifier, underscores the potential for informed decision-making in public health communication and targeted interventions, ultimately empowering parents to safeguard their children's well-being amidst the ongoing pandemic.
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Affiliation(s)
- Fahmida Kousar
- Department of Amraze Atfal, A and U Tibbia College & Hospital, Delhi University, New Delhi, India
| | - Arshiya Sultana
- Department of Ilmul Qabalat wa Amraze Niswan, National Institute of Unani Medicine, Ministry of AYUSH, Bengaluru, Karnataka, India
| | - Marwan Ali Albahar
- Computer Science Department, Umm Al-Qura University, Mecca, Saudi Arabia
| | - Manoj Shamkuwar
- Department of Panchkarma, A and U Tibbia College & Hospital, Delhi University, New Delhi, India
| | - Md Belal Bin Heyat
- CenBRAIN Neurotech Center of Excellence, School of Engineering, Westlake University, Hangzhou, Zhejiang, China
| | - Mohd Ammar Bin Hayat
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China
| | - Saba Parveen
- College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China
| | - John Irish G. Lira
- National University Manila, Manila, Philippines
- Dasmarinas Graduate School, De La Salle University, Dasmarinas, Cavite, Philippines
| | - Khaleequr Rahman
- Department of Ilmul Saidla, National Institute of Unani Medicine, Ministry of AYUSH, Government of India, Bengaluru, Karnataka, India
| | - Abdullah Alammari
- Faculty of Education, Curriculums and Teaching Department, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Eram Sayeed
- Triveni Rai Kisan Mahila Mahavidyalaya, D. D. U. Gorakhpur University, Kushinagar, India
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Dong Y, Ding S, Mao X, Liu X. Global research trends of virtual simulation technology in public health education and training: A visual analysis based on CiteSpace and VOSviewer. Medicine (Baltimore) 2024; 103:e40388. [PMID: 39495990 PMCID: PMC11537655 DOI: 10.1097/md.0000000000040388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 10/16/2024] [Indexed: 11/06/2024] Open
Abstract
BACKGROUND In response to global health challenges, implementing innovative educational strategies is crucial for preparing public health professionals with the required skills. This study employed CiteSpace and VOSviewer to visually analyze 3 decades of research on virtual simulation technology in public health education and training. The visual knowledge map created aimed to uncover the research trends, key areas of interest, and emerging frontiers in this domain. METHODS Leveraging the Web of Science core collection database and employing bibliometric methods, the CiteSpace and VOSviewer softwares were used to analyze the annual publication, literature distribution, country/institution distribution, author distribution, co-cited literature, and keywords related to the virtual simulation technology in public health education and training over the past 30 years. A visual map was then created. RESULTS A total of 1241 research articles were involved in the analysis. The yearly publication count and citations had an overall upward trend, with a significant increase in the number of publications since 2019. The studies in this domain are mainly concentrated in developed countries, particularly in Europe and the United States. The United States emerged as the frontrunner in terms of the number of publications, while both the United Kingdom and the United States exhibited the highest mediation centrality and exerted the greatest international influence. Harvard University made the most substantial contribution with 50 articles and exhibited an institutional cooperation centrality of 0.12. The paper entitled "Using thematic analysis in psychology" had the highest number of citations (28). The primary research hotspots included disaster medicine, telehealth, and virtual reality, while aspects such as digital health, augmented reality, and serious games had consistent continuity. An emerging research frontier, Post-2020, included several topics such as medicine, COVID-19, quality, virtual learning, rehabilitation, depression, and strategy. CONCLUSION This study presents the inaugural comprehensive analysis of global trends, hotspots, frontiers, and advancements in the implementation of virtual simulation technology in public health education and training, utilizing CiteSpace and VOSviewer software. The research findings reveal a significant surge in publications since 2019, with a particular emphasis on disaster medicine, telehealth, and virtual reality, indicating the versatility and promise of virtual simulation in the changing educational environments. These findings emphasize the significance of virtual simulation as a dynamic and progressive tool in public health education, proposing a promising direction for future research and practical applications.
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Affiliation(s)
- Yonghai Dong
- Jiangxi Provincial Key Laboratory of Major Epidemic Prevention and Control, Young Scientific Research and Innovation Team, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, Jiangxi, China
| | - Sheng Ding
- Jiangxi Provincial Key Laboratory of Major Epidemic Prevention and Control, Young Scientific Research and Innovation Team, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, Jiangxi, China
| | - Xiangqun Mao
- Jiangxi Provincial Key Laboratory of Major Epidemic Prevention and Control, Young Scientific Research and Innovation Team, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, Jiangxi, China
| | - Xiaoqing Liu
- Jiangxi Provincial Key Laboratory of Major Epidemic Prevention and Control, Young Scientific Research and Innovation Team, Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, Jiangxi, China
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Li Y, Liu J, Li Y. Exploring the impact of renewable energy, green taxes and trade openness on carbon neutrality: New insights from BRICS countries. Heliyon 2024; 10:e36984. [PMID: 39315208 PMCID: PMC11417214 DOI: 10.1016/j.heliyon.2024.e36984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 08/14/2024] [Accepted: 08/26/2024] [Indexed: 09/25/2024] Open
Abstract
The world faces two significant challenges: promoting sustainable economic growth and reaching carbon neutrality. In BRICS countries, these challenges are shaped by renewable energy, green taxes, and trade openness. These countries were selected for their strategic location and the abundance of relevant data collected over the period of 1990-2021, providing a distinctive window into the energy and economic dynamics of the area. The link between renewable energy consumption, green taxes, trade openness, and natural resources and their effects on carbon emissions in BRICS countries is examined in this study using the Fully Modified Ordinary Least Square Method (FMOLS) estimator and the Drisc Kraay estimator for the robustness test. The findings indicate that using renewable energy and green taxes primarily contribute to reducing emissions, particularly at higher emissions levels. The study reveals that various factors, namely financial globalization, trade openness, efficient resource management, and population growth, substantially impact carbon neutrality. Population growth positively impacts carbon neutrality, while using renewable energy sources mitigates it. Furthermore, the empirical findings show a statistically significant positive association between financial globalization, efficient resource management, and carbon neutrality in BRICS nations. Therefore, it is necessary to implement an integrated ecological governance strategy to control and direct financial resources towards sustainable development and green energy.
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Affiliation(s)
- Yanfeng Li
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Jingru Liu
- Shandong Electric Power Engineering Consulting Institute Corp., Ltd., Jinan 250013, China
| | - Yanlei Li
- MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China
- State Power Investment Group Beijing Electric Power Corp., Ltd., Beijing 100032, China
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Sheng X, Liu G. Investigating the impact of the internet on managing green financial innovation and improving agricultural conditions in water-scarce Asian regions using ANN modeling. Sci Rep 2024; 14:22365. [PMID: 39333558 PMCID: PMC11436779 DOI: 10.1038/s41598-024-72117-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Accepted: 09/03/2024] [Indexed: 09/29/2024] Open
Abstract
This research focuses on the importance of management strategies, green innovation, and sustainable practices in the agricultural sector. These factors are crucial for job creation, food security, and environmental conservation. Particularly in water-scarce regions, effective management is necessary to overcome natural resource constraints and encourage a shift towards digital agriculture (AGRI). The study aims to identify and analyze the challenges and issues related to agricultural research and technology in Asian countries. The collected data were analyzed using exploratory factor analysis in the SPSS software. The analysis revealed a range of issues and challenges for agricultural development, including those related to the structure and policy framework, the availability and quality of resources and infrastructures, and the provision of effective support services, all of which encompassed factors such as research and technology investment, research management, productivity, research culture, networking, and the integration of higher education and agricultural research. To estimate the efficiency of technology development, agricultural development, and support services for AGRI, an artificial neural network (ANN) was utilized. The ANN was trained by incorporating changes in management strategies, green innovation, and sustainability across a broader range of experimental scenarios. The evaluation of the ANN's predictions showed that improvements in management strategies and the adoption of green innovation and sustainability significantly impacted the productivity of technology development, agricultural development, and support services for AGRI. The accuracy of the ANN's predictions was further assessed using linear regression. The results indicated an acceptable level of error when compared to the target results obtained from experimental tests. Overall, this study emphasizes the importance of effective management, green innovation, and sustainable practices in driving advancements in technology and agricultural development.
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Affiliation(s)
- Xiaohan Sheng
- School of Social Sciences, Rice University, Houston, TX77005, USA
| | - Guangmin Liu
- Department of Accounting, School of Economics and Management, Harbin University, Harbin, 150086, China.
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Han F, Zhang D. Government digitalization and its influence on government functions transformation adopting a Structural Functionalism perspective: Evidence from county-level governments in China. Heliyon 2024; 10:e37267. [PMID: 39296109 PMCID: PMC11409074 DOI: 10.1016/j.heliyon.2024.e37267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 08/27/2024] [Accepted: 08/29/2024] [Indexed: 09/21/2024] Open
Abstract
A proactive and innovative approach to government digital reform is necessary to ad-dress potential explanations for the sustained influence of government digitalization, thereby optimizing the behavior and performance of government functions transformation. This study constructs a theoretical framework for understanding the driving mechanisms of government digitalization on government functions transformation from a Structural Functionalism perspective. Based on subdividing government digitalization into four dimensions and government functions transformation into two dimensions, a survey questionnaire with high validity and reliability was compiled and distributed. Utilizing Structural Equation Model, the study investigated the driving mechanisms of government digitalization on government functions transformation and their spatial variations as follows: (1) Digitalization Planning underscores its decisive role in local government functions transformation. (2) Digitalization Technology has a substantial direct impact on Digitalization Platform. (3) Digitalization Policy directly affects Digitalization Platform, behavior, and performance of government functions transformation. (4) Digitalization Platform exerts the most direct impact on government functions transformation. Additionally, the driving mechanisms of government digitalization on government functions transformation exhibit both commonalities and differences across the East, Center, and West of China.
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Affiliation(s)
- Fei Han
- School of Public Affairs, Zhejiang University, Hangzhou, 310058, China
- School of Marxism, Guizhou University, Guiyang, 550025, China
| | - Diandian Zhang
- School of Public Administration and Policy, Shandong University of Finance and Economics, Jinan, 250014, China
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Khan HU, Ali Y, Khan F, Al-antari MA. A comprehensive study on unraveling the advances of immersive technologies (VR/AR/MR/XR) in the healthcare sector during the COVID-19: Challenges and solutions. Heliyon 2024; 10:e35037. [PMID: 39157361 PMCID: PMC11328097 DOI: 10.1016/j.heliyon.2024.e35037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 07/16/2024] [Accepted: 07/22/2024] [Indexed: 08/20/2024] Open
Abstract
The current COVID-19 pandemic has affected almost every aspect of life but its impact on the healthcare landscape is conspicuously adverse. However, digital technologies played a significant contribution in coping with the challenges spawned by this pandemic. In this list of applied digital technologies, the role of immersive technologies in battling COVID-19 is notice-worthy. Immersive technologies consisting of virtual reality (VR), augmented reality (AR), mixed reality (MR), extended reality (XR), metaverse, gamification, etc. have shown enormous market growth within the healthcare system, particularly with the emergence of pandemics. These technologies supplemented interactivity, immersive experience, 3D modeling, touching sensory elements, simulation, and feedback mechanisms to tackle the COVID-19 disease in healthcare systems. Keeping in view the applicability and significance of immersive technological advancement, the major aim of this study is to identify and highlight the role of immersive technologies concerning handling COVID-19 in the healthcare setup. The contribution of immersive technologies in the healthcare domain for the different purposes such as medical education, medical training, proctoring, online surgeries, stress management, social distancing, physical fitness, drug manufacturing and designing, and cognitive rehabilitation is highlighted. A comprehensive and in-depth analysis of the collected studies has been performed to understand the current research work and future research directions. A state-of-the-artwork is presented to identify and discuss the various issues involving the adoption of immersive technologies in the healthcare area. Furthermore, the solutions to these emerging challenges and issues have been provided based on an extensive literature study. The results of this study show that immersive technologies have the considerable potential to provide massive support to stakeholders in the healthcare system during current COVID-19 situation and future pandemics.
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Affiliation(s)
- Habib Ullah Khan
- Department of Accounting and Information Systems, College of Business and Economics, Qatar University, Doha Qatar
| | - Yasir Ali
- Shahzeb Shaheed Govt Degree College Razzar, Swabi, Higher Education Department, KP, Pakistan
| | - Faheem Khan
- Department of Computer Engineering, Gachon University, Seongnam-si, Republic of Korea
| | - Mugahed A. Al-antari
- Department of Artificial Intelligence and Data Science, College of AI Convergence, Daeyang AI Center, Sejong University, Seoul, 05006, Republic of Korea
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Song W, Zhao K. Navigating the innovation policy dilemma: How subnational governments balance expenditure competition pressures and long-term innovation goals. Heliyon 2024; 10:e34787. [PMID: 39145017 PMCID: PMC11320305 DOI: 10.1016/j.heliyon.2024.e34787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 07/04/2024] [Accepted: 07/17/2024] [Indexed: 08/16/2024] Open
Abstract
In the pursuit of economic growth, the role of innovation has become increasingly important, posing dilemmas for subnational governments as they navigate the balance between expenditure competition and long-term investments in innovation. This study aimed to investigate the intricate relationship between fiscal pressures and the pursuit of innovation goals faced by regional authorities. To achieve this, a systematic literature review was conducted, synthesizing more than 150 studies published within the past 15 years. Keyword searches were conducted across multiple databases, and additional scholarly articles were incorporated through citation tracking. Rigorous qualitative analysis techniques, including inductive coding and thematic analysis, were employed to distill conceptual insights from the literature. The analysis performed in this review reveals extensive discussions regarding the influence of competition on innovation outcomes, encompassing a wide range of perspectives. The potential advantages of localization are emphasized by some viewpoints, while others caution against the risks of inadequate investment. The effective coordination of policies across multiple levels of governance to maximize synergies between national and subnational innovation systems emerges as a complex yet crucial challenge. It is observed that collaborative networks, which facilitate knowledge exchange through industrial clustering and public-private linkages, play a significant role in leveraging regional innovation assets. Strategic approaches that successfully balance competition with long-term capacity development have been demonstrated by leading jurisdictions. These findings highlight the significance of tailored policy frameworks that account for the unique contexts of each region, providing opportunities to harness competitive motivations while sustaining investments in innovation. Ongoing coordination is essential to strike a balance between responsiveness and coherence across diverse territories. This study offers practical guidance and academic insights on strategies to align decentralized imperatives, aiming to optimize prosperity through knowledge creation within evolving multi-level innovation systems. By shedding light on these strategies, the research contributes to both practical and academic understandings of how to effectively navigate and capitalize on the dynamics of such systems.
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Affiliation(s)
- Wenjuan Song
- School of Accounting, Wuhan Business University, Wuhan, China, 430056
| | - Kai Zhao
- School of Economy, Wuhan University of Technology, Wuhan, China, 430070
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11
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Zhang Z, Wang X, Yi X, Hu L. The impact of farmers' participation in green cooperative production on green performance-A study based on the moderating effect of environmental regulation. Sci Rep 2024; 14:16733. [PMID: 39030221 PMCID: PMC11271516 DOI: 10.1038/s41598-024-67167-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 07/09/2024] [Indexed: 07/21/2024] Open
Abstract
Based on 491 farmers joining in cooperatives microscopic data in Jiangxi Province,the paper uses Ordinary Least Squares to test the influence mechanism of cooperative green production on green performance, and takes environmental regulation as a regulatory variable to explore the relationship between cooperative green production and cooperative green performance. The results have shown that: (1) The green production cooperatives have a significant positive impact on their green performance, and the impact of green production on economic performance, social performance and ecological performance gradually strengthens from weak to strong; (2) Environmental regulations have a positive regulatory effect on the relationship between cooperative green production and cooperative green performance, among which three types of environmental regulations, namely, incentive, restraint and guided, can strengthen the positive relationship between green production and green performance.
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Affiliation(s)
- Zhenghua Zhang
- School of Economics and Management, Jiangxi Agricultural University, Nanchang, 330045, China
- Research Centre on Finance and Accounting, Jiangxi Agricultural University, Nanchang, China
| | - Xiahui Wang
- School of Economics and Management, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Xingchen Yi
- School of Economics and Management, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Lun Hu
- School of Economics and Management, Jiangxi Agricultural University, Nanchang, 330045, China.
- Rural Revitalization Strategy Research Institute, Jiangxi Agricultural University, Nanchang, China.
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12
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Kuang Y, Fan Y, Bin J, Fan M. Impact of the digital economy on carbon dioxide emissions in resource-based cities. Sci Rep 2024; 14:16514. [PMID: 39019973 PMCID: PMC11254906 DOI: 10.1038/s41598-024-66005-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Accepted: 06/26/2024] [Indexed: 07/19/2024] Open
Abstract
With the rapid development of the digital economy, its environmental impact, particularly on carbon dioxide emissions in resource-based cities, has emerged as a vital research topic. Resource-based cities, often central to traditional industries, are confronted with the dual challenges of environmental pollution and economic transformation. This study employs empirical analysis to examine the influence of the digital economy on carbon dioxide emissions in these cities. The findings reveal that the digital economy significantly reduces carbon dioxide emissions, with this impact being more pronounced in the early stages of digital economic development and gradually diminishing thereafter. In the mechanism analysis, we found that the digital economy can reduce carbon dioxide emissions in resource-based cities by raising public concern about the environment. Moreover, the study highlights significant variations in carbon reduction effects among different types of resource-based cities, noting that stronger environmental regulations further enhance these effects. These insights not only provide a new theoretical perspective but also offer practical guidance for policymakers in promoting sustainable development within the digital economy.
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Affiliation(s)
- Yiming Kuang
- International Business School, Hunan University of Information Technology, Changsha, China
| | - Yaojun Fan
- Stamford International University, Petchburi, Thailand.
| | - Jie Bin
- José Rizal University, Manila, Philippines
| | - Min Fan
- Lanzhou University, Lanzhou, China
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Wang M, Wang Y, Guo B. Green credit policy and residents' health: quasi-natural experimental evidence from China. Front Public Health 2024; 12:1397450. [PMID: 39026592 PMCID: PMC11255970 DOI: 10.3389/fpubh.2024.1397450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 06/17/2024] [Indexed: 07/20/2024] Open
Abstract
Background Residents' health plays an important role in economic prosperity and national development. Methods The research analyzes data from 262 prefecture-level cities in China spanning the period from 2010 to 2021. Utilizing the implementation of green credit policy in China as a quasi-natural experiment, the paper employs the time-varying Differences-in- Differences (DID) model to evaluate the influence of green credit policy on residents' health. Results The paper results show that: (1) the green credit policy significantly improves residents' health, and this conclusion still holds after a series of robustness tests. (2) Mechanism analysis reveals that the green credit policy affects residents' health through the improvements of the environment and the elevation of public services standards in demonstration cities. (3) Heterogeneity analysis shows that the impact of green credit policy on residents' health is more significant in the western cities and resource-based cities than in the central-eastern cities and non-resource-based cities. This paper explains the specific path and realization of green credit policy to enhance residents' health, which provides a reference for further designing and improving effective green credit policy. Discussion The deficiencies within the green credit policy has resulted in limited improvements. It is recommended that China should broaden the ambit of the green credit policy and refine the criteria for its execution.
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Affiliation(s)
| | | | - Bingnan Guo
- School of Humanities and Social Sciences, Jiangsu University of Science and Technology, Zhenjiang, China
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Wang S, Ren J, Guo X. A high-accuracy lightweight network model for X-ray image diagnosis: A case study of COVID detection. PLoS One 2024; 19:e0303049. [PMID: 38889106 PMCID: PMC11185471 DOI: 10.1371/journal.pone.0303049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 04/15/2024] [Indexed: 06/20/2024] Open
Abstract
The Coronavirus Disease 2019(COVID-19) has caused widespread and significant harm globally. In order to address the urgent demand for a rapid and reliable diagnostic approach to mitigate transmission, the application of deep learning stands as a viable solution. The impracticality of many existing models is attributed to excessively large parameters, significantly limiting their utility. Additionally, the classification accuracy of the model with few parameters falls short of desirable levels. Motivated by this observation, the present study employs the lightweight network MobileNetV3 as the underlying architecture. This paper incorporates the dense block to capture intricate spatial information in images, as well as the transition layer designed to reduce the size and channel number of the feature map. Furthermore, this paper employs label smoothing loss to address the inter-class similarity effects and uses class weighting to tackle the problem of data imbalance. Additionally, this study applies the pruning technique to eliminate unnecessary structures and further reduce the number of parameters. As a result, this improved model achieves an impressive 98.71% accuracy on an openly accessible database, while utilizing only 5.94 million parameters. Compared to the previous method, this maximum improvement reaches 5.41%. Moreover, this research successfully reduces the parameter count by up to 24 times, showcasing the efficacy of our approach. This demonstrates the significant benefits in regions with limited availability of medical resources.
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Affiliation(s)
- Shujuan Wang
- College of Mathematics and Information Science, Zhengzhou University of Light Industry, Zhengzhou, China
| | - Jialin Ren
- College of Mathematics and Information Science, Zhengzhou University of Light Industry, Zhengzhou, China
| | - Xiaoli Guo
- College of Mathematics and Information Science, Zhengzhou University of Light Industry, Zhengzhou, China
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Qing W, Xuebo Z. Rational resistance amidst gentle breeze and mild rain: Examining online collective behavior among the Chinese public using the elaborated social identity model. PLoS One 2024; 19:e0303603. [PMID: 38787882 PMCID: PMC11125461 DOI: 10.1371/journal.pone.0303603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 04/26/2024] [Indexed: 05/26/2024] Open
Abstract
This research examines internet collective behavior in mainland China during the COVID-19 pandemic, focusing on the factors and characteristics that drive such behavior. The Chinese government initially implemented a conservative and biased policy to contain the spread of the virus, but the sudden lifting of lockdown measures in late 2022 resulted in a surge in infections and scarcity of medical resources. This policy shift led many Chinese internet users to perceive the government's actions as hasty and harsh, prompting them to engage in collective online behavior. The study employed a survey-based approach, collecting 1,626 valid questionnaires, which underwent reliability testing, descriptive statistical analysis, and a difference-in-differences test. A structural equation model (SEM) was then constructed and applied to comprehensively analyze the mediating and moderating effects of latent variables. Ethical considerations were prioritized, with informed consent obtained from all participants, who were provided with detailed information about the study and given sufficient time to review and ask questions. The research yielded three primary conclusions: the Chinese public demonstrated a perception of fairness and exhibited obedience, respect, and cooperation with the government during the epidemic; the observed online collective behavior can be characterized as a moderate and rational form of resistance, explained by the elaborated social identity model (ESIM); and the middle class consistently adopted a self-vulnerability strategy, positioning themselves as beneficiaries of protection to maximize their own interests in epidemic prevention and control. This study shows notable insights into internet collective behavior in mainland China during the COVID-19 pandemic, highlighting perceptions, resistance, and strategies adopted by different segments of the population.
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Affiliation(s)
- Wang Qing
- School of Information Technology in Education, South China Normal University, Guangzhou, China
| | - Zhang Xuebo
- School of Information Technology in Education, South China Normal University, Guangzhou, China
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Gwenzi W, Adelodun B, Kumar P, Ajibade FO, Silva LFO, Choi KS, Selvarajan R, Abia ALK, Gholipour S, Mohammadi F, Nikaeen M. Human viral pathogens in the wastewater-source water-drinking water continuum: Evidence, health risks, and lessons for future outbreaks in low-income settings. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 918:170214. [PMID: 38278242 DOI: 10.1016/j.scitotenv.2024.170214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 01/10/2024] [Accepted: 01/14/2024] [Indexed: 01/28/2024]
Abstract
Human viral pathogens, including SARS-CoV-2 continue to attract public and research attention due to their disruption of society, global health, and the economy. Several earlier reviews have investigated the occurrence and fate of SARS-CoV-2 in wastewater, and the potential to use such data in wastewater-based epidemiology. However, comprehensive reviews tracking SARS-CoV-2 and other viral pathogens in the wastewater-water-drinking water continuum and the associated risk assessment are still lacking. Therefore, to address this gap, the present paper makes the following contributions: (1) critically examines the early empirical results to highlight the occurrence and stability of SARS-CoV-2 in the wastewater-source water-drinking water continuum, (2) discusses the anthropogenic and hydro(geo)logical processes controlling the circulation of SARS-CoV-2 in the wastewater-source water-drinking water continuum, (3) discusses the risky behaviour, drivers and high-risk settings in the wastewater-source water-drinking water continuum, (4) uses the available empirical data on SARS-CoV-2 occurrence in the wastewater-source water-drinking water continuum to discuss human health risks from multiple exposure pathways, gendered aspects of SARS-CoV-2 transmission via shared on-site sanitation systems, and (5) develops and risk mitigation strategy based on the available empirical evidence and quantitative human risk assessment data. Finally, it presents a comprehensive research agenda on SARS-CoV-2/COVID-19 to guide the mitigation of future similar outbreaks in low-income settings.
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Affiliation(s)
- Willis Gwenzi
- Biosystems and Environmental Engineering Research Group, 380 New Adylin, Westgate, Harare, Zimbabwe; Currently Alexander von Humboldt Fellow and Guest/Visiting Professor at: Grassland Science and Renewable Plant Resources, Faculty of Organic Agricultural Sciences, Universität Kassel, Steinstraße 19, D-37213 Witzenhausen, Germany; Leibniz-Institut für Agrartechnik und Bioökonomie e.V. (ATB), Max-Eyth-Allee 100, D-14469, Potsdam, Germany.
| | - Bashir Adelodun
- Department of Agricultural Civil Engineering, Kyungpook National University, Daegu 41566, Republic of Korea; Department of Agricultural and Biosystems Engineering, University of Ilorin, PMB 1515, Ilorin 240003, Nigeria; Institute of Agricultural Science & Technology, Kyungpook National University, Daegu 41566, Republic of Korea.
| | - Pankaj Kumar
- Agro-Ecology and Pollution Research Laboratory, Department of Zoology and Environmental Science, Gurukula Kangri (Deemed to Be University), Haridwar 249404, India; Research and Development Division, Society for AgroEnvironmental Sustainability, Dehradun 248007, India.
| | - Fidelis Odedishemi Ajibade
- Department of Civil and Environmental Engineering, Federal University of Technology, PMB 704, Akure, 340001, Nigeria.
| | - Luis F O Silva
- Department of Civil and Environmental Engineering, Universidad de la Costa, Calle 58 #55-66, 080002 Barranquilla, Atlàntico, Colombia.
| | - Kyung Sook Choi
- Department of Agricultural Civil Engineering, Kyungpook National University, Daegu 41566, Republic of Korea; Institute of Agricultural Science & Technology, Kyungpook National University, Daegu 41566, Republic of Korea.
| | - Ramganesh Selvarajan
- Department of Environmental Sciences, College of Agricultural and Environmental Sciences, University of South Africa, Florida branch, Johannesburg, South Africa
| | - Akebe Luther King Abia
- Antimicrobial Research Unit, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa; Environmental Research Foundation, Westville 3630, Kwazulu-Natal, South Africa
| | - Sahar Gholipour
- Department of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Farzaneh Mohammadi
- Department of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mahnaz Nikaeen
- Department of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran; Environment Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
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