Reduce Work Pressure Research Articles

Be a hero, be your own best friend: a self-compassion-based PsyCap intervention improves PhD students’ well-being

AbstractGrowing research evidence points towards a mental health crisis in PhD students. High-quality support services for PhD students are scarce as is research on interventions. Inspired by Conservation of Resources theory, we introduce a novel type of PsyCap intervention—a self-compassion-based PsyCap training—that aims to improve PhD students’ well-being (i.e., in terms of reducing work pressure and increasing positive affect and support seeking) through PsyCap and self-compassion. 115 PhD students in the Netherlands were randomized to a self-compassion-based PsyCap intervention, a PsyCap-only intervention, or a wait-list control group. Results indicated that the self-compassion-based PsyCap intervention increased self-compassion, reduced work pressure, and increased support seeking in the short term following the intervention. The PsyCap-only intervention increased psychological capital and reduced work pressure in the short term. Notably, increase in self-compassion was a key mechanism through which participants of the self-compassion-based PsyCap intervention, but not the PsyCap-only intervention, experienced improvements in all well-being outcomes over the longer term. Unexpectedly, the self-compassion-based PsyCap intervention increased psychological capital only at follow-up via self-compassion. This study provides initial evidence that developing PsyCap, alongside self-compassion, may take longer but benefits PhD students’ well-being and does so more than developing PsyCap alone.

Reducing Work Pressure to Improve Employee and Teacher Performance at the National Space Aviation Vocational School (SPAN) Medan

This study examines the impact of job stress on employee and teacher performance at the National Aviation and Space Vocational High School (Span) Medan. This research uses a quantitative approach, using a saturated sampling technique to ensure the collection of representative data from the entire population, so as to increase the generalizability of the research findings to a wider population. The triangulation method was used to validate the authenticity of the data, by integrating various data sources such as observation, questionnaires, interviews, and documentation. The research findings that job stress plays an important role in influencing individual performance, both partially and simultaneously. The practical implication is the urgency of management to manage employee work stress effectively. Strategies such as employee wellness programs, stress management training, supportive work environment, adaptive leadership, and fair compensation are recommended. Future research should explore additional factors affecting performance and develop holistic management strategies to effectively improve employee performance and teacher performance

Work pressure, coping styles and occupational burnout among Chinese police officers: a meta-analytic review

The present study conducted a comprehensive meta-analysis to systematically review the relationship between occupational burnout and work pressure among Chinese police officers. Additionally, the study explored the mediating role of coping styles using a meta-analytic structural equation model. The investigation involved a thorough search of CNKI, PubMed, PsychInfo, Web of Science, and Google Scholar databases, resulting in the identification of a total of 39 studies with 124 effect sizes and 14,089 police officers. The findings revealed a positive correlation between work pressure and occupational burnout among Chinese police officers (r = 0.410, 95% CI = [0.347, 0.469]). Furthermore, negative coping styles mediate the relationship between work pressure and occupational burnout. Importantly, these conclusions held true across various work regions for police officers. These results provide insights into the relationship magnitude between work pressure and occupational burnout in Chinese police work and shed light on the underlying mechanisms. Based on these findings, it is recommended that interventions focusing on reducing work pressure and fostering positive coping styles be implemented to mitigate occupational burnout among police officers.

КАК СДЕЛАТЬ ПОЛИКЛИНИКУ БОЛЕЕ ПРИВЛЕКАТЕЛЬНОЙ? ВИДЕНИЕ РУКОВОДИТЕЛЕЙ

Significance. State polyclinics are the main elements in primary health care. Shortcomings in their performance affect the quality of medical care. Head doctors are a valuable resource; they understand major problems of polyclinics from within. The purpose of the study was to identify major shortcomings in performance of state polyclinics in Krasnoyarsk from the viewpoint of head doctors and analyze possible ways to improve the situation. Material and methods. During 2019, the interview of all head doctors and heads of polyclinic branches with assigned adult population of Krasnoyarsk state polyclinics was conducted. As a result, 23 people were interviewed. An approach of informal semi-structured in-depth interview was used. The resulting data were quantitatively processed with the help of content analysis approaches. Descriptive statistics of categorical variables are presented as percentages. Results. According to the opinion of head doctors, in order to increase attractiveness of primary care facilities, it is necessary to look for opportunities to expand appointment slots, reduce the shortage of medical stuff, reduce work pressure on general practitioners, and reconstruct cooperation with health insurance organizations, improve appointment making, improve office and medical equipment, focus attention of medical universities on training young doctors to work in polyclinics. Conclusion. The study has analyzed opinion of head doctors regarding major problems they face in daily work. Improvements in the identified areas will make it possible to increase attractiveness of city polyclinics.

The Impact of Artificial Intelligence on the Employment Structure of the Tourism Industry: An Interview with ChatGPT

This study aims to investigate the impact of artificial intelligence (AI) on the workforce in the tourism sector, suggest measures that managers and employees can utilize to mitigate the adverse effects of AI, and predict the future of employment in tourism. In the study, the interview technique was used in qualitative research approaches. ChatGPT was used as an interviewer. Eight questions were posed during the interviews using the ChatGPT question screen (https://chat.openai.com/chat). The study showed that artificial intelligence (AI) will emerge in fifteen new job positions within tourism. The study revealed that integrating artificial intelligence (AI) in the tourism industry has several advantages for employees, such as enhancing job satisfaction and commitment, making more informed decisions, reducing their workload and burnout, formulating more effective business strategies and service offerings, continuing professional development, discover new career paths, and acquiring practical problem-solving abilities. The study highlighted that AI has potentially adverse effects on employees on subjects, including job displacement, job mismatches, skills gap, reskilling challenges, adopting, creativity, decision-making, workload, burnout, ethical, fairness, job performance, job satisfaction, sense of monotony, career advancement, and identity lost.

Factors associated with nurses’ attitudes for providing oral care in geriatric care facilities: a cross-sectional study

BackgroundThe world’s population is getting older. This issue is accompanied by a rise in the number of older people suffering from dementia and disability, for whom oral hygiene care is challenging. Nurses’ attitudes toward providing oral care (POC) are critical for the elderly, while few studies have investigated the determinant factors of nurses’ attitudes by identifying the current work pressure, resilience and self-efficacy in geriatric care facilities (GCFs). It is of great significance to explore the nurses’ attitudes toward POC and associated influencing factors related to psychological aspects including resilience, self-efficacy, and stress from the workplace.MethodsAttitudes for Providing Mouth Care (A-PMC) in Chinese version were used in this cross-sectional study with 160 nurses in 2 GCFs. Data were collected using online questionnaires and analyzed by multiple linear regression analysis. Statistically significant values were considered at p < 0.05.ResultsA total of 160 nurses participated in this study, with an average age of 32.86 ± 7.43. The mean score for the A-PMC was 2.81 ± 0.47. The score of A-PMC was negatively correlated with work pressure (r=-0.332, p < 0.01), and positively correlated with resilience (r = 0.735, p < 0.01) and self-efficacy (r = 0.425, p < 0.01) respectively. Multiple linear regression analyses identified that the potential influencing factors of A-PMC were education background, work hours every shift, self-efficacy, work pressure and resilience.ConclusionsThe study results indicate nurses’ attitudes regarding PMC were at a low level, which is influenced by many factors. To improve nurses’ attitudes toward PMC and the oral hygiene (OH) of the elderly in GCFs, it is necessary to increase nurses’ education and training, establish a reasonable and effective incentive mechanism to improve nurses’ work motivation and other intervention measures to reduce work pressure.

A Study on the Quality of Life of Elderly Nurses in Two Selected Elderly Care Institutions in Shandong Province

Objective: To comprehensively understand the impact of the quality of life of elderly nurses in two selected elderly care institutions in Zibo city, Shandong province, and to provide a scientific basis for improving the professional quality of life of elderly nurses. Methods: The convenient sampling method was used to investigate the professional quality of life (proQOL) questionnaire Version 5 and the self-designed demographic data of 82 elderly nurses working in two elderly care institutions. Result: From this score, it can be seen that the occupational burnout problem of elderly nursing staff in the two nursing homes is the most significant, with empathy and secondary trauma emergency at a moderate level. After controlling the demographic variables, the working hours and monthly income level had a significant impact on nurses’ job burnout. Conclusion: Due to the particularity and high intensity of elderly nurses’ work, their physical and mental health faces many challenges, which affect their quality of life. At present, efforts will be made to reduce work pressure, increase wages and benefits, and thereby improve the quality of life.

Factors Influencing Employees' Work-Life Balance in Commercial Banks of Nepal: Evidence from Structural Equation Modeling

Purpose: Work-life balance is a phenomenon that has expanded worldwide and has long been a contentious subject because of its significant impact on job satisfaction, time management, stress management, and other important areas of people's daily lives. This study aims to assess factors influencing employees' work-life balance in the commercial banks of the Kathmandu Valley. Design/ Methodology: We used descriptive and inferential statistics to statistically assess the data collected through structured questionnaires in line with the explanatory study design to examine the cause-and-effect connection. The Kathmandu Valley's 264 commercial bank employees' data are collected, and structural Equation Modeling (SEM) is used to evaluate it. We used the 5-point Likert scale as the primary data collection method in KOBO Toolbox. Findings: Findings reveal that most of the respondents working in the commercial bank are female and have completed a master’s degree and above educational level. The SEM result indicates that personal and organizational predictors and life satisfaction significantly relate to work-life balance. In contrast, life satisfaction mediates between dependent variables (Work-Life Balance) and independent variables (i.e.personal predictors and organizational predictors). Conclusion: There is no flexible time for work in commercial banks. The study shows long working hours, whereas most employees face challenges because of working conditions. Thus, commercial banks should reduce work pressure, maintain a positive working environment, and discourage overtime culture to improve work-life balance. Recommendation: The study recommends schedule flexibility, reducing workload and revising organizational policies to enhance work-life balance.

The Effectiveness of Narrative Therapy in Reducing Work Pressure and Improving Health Behavior Among Anesthesia Clinical Frontline Nurses.

Objectives: The aim of this study was to investigate the effectiveness of narrative therapy in reducing work pressure and improving health behavior among clinical and anesthesia frontline nurses. Methods: We used convenience sampling to select clinical and anesthesiology department nurses from hospitals between May 2019 and May 2021. We used a nursing knowledge-attitude-behavior questionnaire to assess the status of nurses and assess the effectiveness of the narrative therapy intervention. We analyzed our data using SPSS and Smart PLS. Results: We found statistically significant differences in scores on the Competence Scale (NCS) and the Nursing Caring Characters Assessment Tool (NCCAT) (p<.05). The average scores of items in each dimension of clinical and anesthesiology department narrative nursing knowledge and behavior were: knowledge score (3.67±0.52), attitude score (5.48±0.62), and behavior score (4.74±0.77). Conclusion: The ADDIE-based narrative nursing training program improved nurses' narrative nursing ability and humanistic care quality, reducing work pressure and promoting health behavior. These findings highlight the importance of narrative therapy in clinical practice for frontline nurses.

Artificial Intelligence: A Next-Level Approach in Confronting the COVID-19 Pandemic.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which caused coronavirus diseases (COVID-19) in late 2019 in China created a devastating economical loss and loss of human lives. To date, 11 variants have been identified with minimum to maximum severity of infection and surges in cases. Bacterial co-infection/secondary infection is identified during viral respiratory infection, which is a vital reason for morbidity and mortality. The occurrence of secondary infections is an additional burden to the healthcare system; therefore, the quick diagnosis of both COVID-19 and secondary infections will reduce work pressure on healthcare workers. Therefore, well-established support from Artificial Intelligence (AI) could reduce the stress in healthcare and even help in creating novel products to defend against the coronavirus. AI is one of the rapidly growing fields with numerous applications for the healthcare sector. The present review aims to access the recent literature on the role of AI and how its subfamily machine learning (ML) and deep learning (DL) are used to curb the pandemic's effects. We discuss the role of AI in COVID-19 infections, the detection of secondary infections, technology-assisted protection from COVID-19, global laws and regulations on AI, and the impact of the pandemic on public life.

A combined mixed integer programming and deep neural network-assisted heuristics algorithm for the nurse rostering problem

The objective of the nurse rostering problem (NRP) is to obtain a scheduling plan that optimizes the allocation of human resources, effectively reducing work pressure on nurses and improving work efficiency and quality. Because various constraints must be considered during scheduling, the NRP is complicated and known to be NP-hard. Existing research has not combined learning mechanisms with NRP. This study constructively explores the possibility of combining an optimization method and a learning mechanism to automatically produce feasible solutions and proposes a feature vector and a reconstruction mechanism to assist in this exploration. We aim to learn a policy that is generalizable for NRPs of various sizes and design a hybrid algorithm with learning and optimization methods to solve the general NRP. The algorithm has two main parts: a deep neural network (DNN) improvement part and a reconstruction part. In the DNN improvement part, a feature vector is used to describe heterogeneous NRP solutions and normalizes these solutions to the same dimension. Then, the DNN model determines the best heuristic for approximating the local optimal solution. The method reconstructs the structure of the current solution with embedded mixed integer programming (MIP), quickly escaping the local optimum and enhancing the diversity of the search process, increasing the likelihood of determining an optimal solution. Different experiments and statistical tests were conducted by comparing various configurations and approaches. The detailed computational and statistical results demonstrate the competitive performance of the proposed method.

THE INFLUENCE OF ORGANIZATIONAL SUPPORT AND COLLEAGUE SUPPORT ON ORGANIZATIONAL COMMITMENT AND TURNOVER INTENTION

Abstract Background The research on turnover intention mainly focuses on the relationship between turnover intention, job satisfaction and organizational commitment; Few studies have considered the relationship between turnover intention and commitment, because they may be related to job support. Therefore, this study uses two methods of organizational support and colleague support to study their impact on organizational commitment and turnover intention. More specifically, this study aims to determine: 1. When the two kinds of support are used together, whether it helps to strengthen employees' commitment to the organization, and then affect employees' turnover intention; 2. Which support variables have a greater impact on organizational commitment; Thirdly, as the second-order factor of verification, organizational commitment includes three first-order factors: emotional commitment, continuous commitment and normative commitment. Research Objects and Methods This study was conducted in the hotel industry of the people's Republic of China; This study developed an online questionnaire, which involves organizational support, colleague support, organizational commitment and turnover intention. All questionnaires were measured by Likert five point scale; The responses range from 1 (strongly disagree) to 5 (strongly agree). LISREL8 214 questionnaires were measured, the structural model and four hypotheses were tested. Chi square test, degrees of freedom, approximate root mean square error (RMSEA), non-standard fitting index (nnfi) and comparative fitting index (CFI) were used to evaluate the model data fitting. At the same time, in order to test the relationship between the fitting index and people's emotions, especially depression, the automatic thinking questionnaire (atq) is designed to evaluate the frequency of automatic negative thoughts related to depression. To find out the internal self description of depressive patients to express their cognitive experience. Atq involves four levels of depression: (1) individual maladjustment and desire for change; (2) Negative self-concept and negative expectation; (3) Lack of self-confidence; (4) A sense of helplessness. The questionnaire asked the subjects about the frequency of 30 different ideas in the last week. The frequency is divided into five grades: 1 none; 2 = occasionally; (III) sometimes; 4 = frequent; 5 = persistent. All items were negative experiences of depression, pointing to depression, and their scores were positively correlated with the degree of depression. In other words, the higher the frequency, the heavier the depression (e.g. “I'm worthless”, “my future is hopeless”, “I'm disappointing”) The total score ranges from 30 (no depression or very mild depression) to 150 (extreme depression). In the original literature, hollon &amp;amp; Kendall (1980) did not give a critical value of depression, but only gave a score of 79.6 ± 22.5 3, and 48.6 ± 10.90 in non depressed patients. Results Among the 214 respondents, women accounted for 68.2% (146). In the second-order model, the loads of three specific factors (emotional commitment, continuous commitment and normative commitment) and overall factors (organizational commitment) are 0.86, 0.70 and 0.94 respectively. The four hypotheses are supported by the significance of good model data fitting index and structure coefficient. Conclusion The results of this study show that the combination of organizational support and colleague support will make a great contribution to the cultivation of organizational commitment, and the cultivation of organizational commitment will have a negative impact on turnover intention. In addition, this study also found that the path coefficient of colleague support to organizational commitment is higher than that of organizational support. Organizational commitment is a second-order factor, which can be explained by three first-order factors: emotional commitment, continuous commitment and normative commitment. This study found that colleagues' emotional support has a positive and significant impact on job satisfaction, because appropriate support helps to reduce job stress and naturally improve job satisfaction. The empirical study also found that employees' emotional support and standardization can reduce work pressure and naturally face work pressure. When perfect construction support is provided and appreciated, there will be a sense of job achievement after completing the task, which will help to improve job satisfaction. The survey was conducted in China's hotel industry; The results of this study can be extended to other environments. Training opportunities at work, the organization's personal development policy, encouraging the application of newly acquired knowledge and skills at work and the support of colleagues are important factors to strengthen organizational commitment, which in turn will reduce the willingness to leave. In addition, employees need / desire good working relationships and personal promotion opportunities. This study is one of the few studies that apply the second-order model of three dimensions of organizational commitment to organizational commitment. It also recognizes that the support of organizations and colleagues is an important factor affecting employees' attitudes towards organizational commitment and turnover intention. Acknowledgments Mechanism and Paths of High-quality Development of Henan Manufacturing Industry based on Value Co-creation (Grant No. 2022-ZZJH-052)

FROM THE PERSPECTIVE OF EMOTIONAL LABOR AND WORK PRESSURE, THIS PAPER DISCUSSES HOW JOINT ORDERING STRATEGY CAN IMPROVE THE PSYCHOLOGICAL SAFETY OF SUPPLY CHAIN MEMBERS

BackgroundIt is of great economic significance to optimize the total cost of supply chain and improve the performance of supply chain. Information sharing can improve supply chain performance. A probabilistic demand system with one seller and one buyer studied by scholars can find that compared with the traditional decentralized system, the quantity coordination strategy can improve the performance of the supply chain. However, supply chain members are reluctant to provide private cost information because their customers may abuse this information, which will seriously affect their psychological security of privacy protection. The application of secure multiparty computing (SMC) is a possible way to solve these problems. SMC provides a framework for computing partners to make decisions to achieve global goals while protecting the privacy of any party's private information. Only a few literatures have discussed the application of SMC in supply chain collaboration. When applying SMC protocol to the joint ordering strategy with quantity discount under Probabilistic demand, the inventory problem has not been studied. Especially in terms of the actual indicators of emotional labor and work stress, no research has been carried out.Subjects and MethodsFirstly, we analyze the optimal order quantity under Probabilistic demand, the optimal joint order quantity under Probabilistic demand, profit distribution and quantity discount design. Then, based on the SMC protocol, a joint ordering strategy under Probabilistic demand is proposed, and the corresponding privacy protection quantity discount of the joint ordering strategy without intermediary is given. In this regard, we give the numerical simulation of joint ordering and the numerical simulation of privacy protection joint ordering strategy and its quantity discount design. Last, Using the revised Lin Shangping's “organization's emotional labor burden scale” and “Minnesota Satisfaction Scale (MSQ), the study distributed 200 questionnaires to the subjects and recovered 196. The sample structure distribution is that men account for 51.7%, the lowest proportion under the age of 25 (2.5%), and the highest proportion over the age of 36 (62.6%) The proportion is the highest, accounting for 64.0%. In terms of service years, the proportion of 1-3 years is the lowest, accounting for 4.4%, and the proportion of more than 7 years is the highest, accounting for 84.2%. The total correlation coefficient and total reliability of the modified items were analyzed to delete the items without internal consistency in the questionnaire, so as to improve the reliability of the questionnaire and the quality of measurement tools.ResultsThe privacy protection joint ordering strategy based on the probabilistic demand of SMC protocol can be implemented under the condition of any private (cost and capacity) information retention, which can be realized without mediation. The numerical simulation results of joint ordering show that joint ordering can reduce the total cost of supply chain. Through quantity discount design, the cost of each participant in the supply chain can be reduced to varying degrees. In terms of emotional labor, it has a positive and significant impact on job satisfaction, because appropriate emotional labor helps to reduce work pressure and naturally improve psychological safety.ConclusionSMC protocol gives the privacy protection joint ordering strategy under Probabilistic demand, and determines the privacy protection quantity discount of the joint ordering strategy under Probabilistic demand. The numerical simulation results of joint ordering show that joint ordering can reduce the total cost of supply chain. Through quantity discount design, the cost of each participant in the supply chain can be reduced to varying degrees. The above privacy protection agreement can be realized without the help of intermediaries. The buyer and the seller can obtain the optimal joint order quantity while protecting their own privacy information, which helps to improve the psychological security of supply chain members, and realize efficient operation and win-win of the supply chain. In the future, we will consider the existence of more buyers or multi-layer supply chain structure, and deduce the corresponding privacy protection algorithm.AcknowledgementsSupported by a project grant from Zhejiang Philosophy and Social Sciences Foundation (Grant No.19NDJC145YB), and a project grant from National Natural Science Foundation of China (Grant No. 71203161), and a project grant from National Social Science Foundation of China (Grant No. 17BGL132).

ECONOMIC PSYCHOLOGY ANALYSIS OF RECYCLERS' EMOTIONAL STABILITY IN CLOSED-LOOP SUPPLY CHAIN UNDER UNCERTAINTY

BackgroundIn today's society, with the sustainable development of economy, material products are rich and diverse. The production speed of products has far exceeded people's needs. Emission reduction and environmental protection have become people's new pursuit. Closed loop supply chain should consider not only product life cycle and recycling, but also economic and environmental benefits. It has become the focus of scholars all over the world. Closed loop supply chain refers to the complete supply chain cycle from procurement to final sales, including product recovery and reverse logistics supported by life cycle. It is a highly complex process. In the closed-loop supply chain, the simplest form is composed of manufacturers, retailers and recyclers. Recycler is the most critical link in the new closed-loop supply chain system, which is not available in the traditional supply chain. Therefore, this paper mainly studies the change of recyclers when exogenous variables fluctuate from the perspective of economic psychology.Research Objects and MethodsMost scholars use short-term static methods when studying the uncertainty of recyclers in closed-loop supply chain. It is particularly important to analyze the uncertain factors in the closed-loop supply chain. In order to analyze this problem, this paper first improves the closed-loop supply chain model of capital flow and logistics coupling, so as to better simulate the real closed-loop supply chain. Secondly, the sensitivity analysis function of Vensim software is used to simulate the impact of exogenous variables on the inventory value and capital value of recyclers in the closed-loop supply chain model. At the same time, in order to verify the impact of recyclers' emotional stability, this study adopts the following scale. The communication anxiety scale adopts 15 questions of the Interaction Anxiety Scale (IAS) compiled by Leary, with a single dimension and a 5-level score, from 1 to 5 to “very inconsistent”. The higher the score, the greater the degree of social anxiety. The emotion regulation self-efficacy scale adopts the emotion regulation self-efficacy scale (RES) revised by Caprara. The 12 questions are divided into three dimensions: expressing positive emotions, managing depression / pain and self-efficacy of managing anger / anger, with 4 questions in each dimension. A 5-level score is adopted, from 1 to 5, which means “very inconsistent” to “very consistent”. The higher the score, the higher the degree of self-confidence in regulating their emotions. In the study, Cronbach's α The coefficient is 0.80. The aggression scale adopts the aggression scale (bpaq) compiled by Buss and PerryThe scale has 29 questions and is divided into four dimensions: physical aggression, verbal aggression, anger and hostility. The higher the score, the stronger the attack. In this study, Cronbach's α The coefficient is 0.85. The depression questionnaire adopts Beck's revised depression Inventory-II (BDI-II). The questionnaire has 21 questions, with a single dimension. The higher the total score, the heavier the degree of depression. The data were obtained by spss19 0 and amos17 0 for analysis.Resultsthe 19 exogenous variables were divided into four categories: Manufacturer related parameters, retailer related parameters, recycler related parameters and other related parameters. The sensitivity of these 19 parameters to recycler inventory and capital in closed-loop supply chain is simulated and analyzed. Through the comparative analysis of sensitivity chart, it can be seen that the manufacturer's inventory adjustment time, the retailer's safety inventory coefficient, the retailer's smoothing time, the retailer's inventory adjustment time, the collector's fixed expenditure and the collector's initial inventory value are positively correlated. And have a significant impact on collectors' inventory and emotional stability. The reason is that appropriate time adjustment helps to reduce work pressure and naturally improve job satisfaction.Conclusionin the closed-loop supply chain, the fluctuation of the same exogenous variable in the same range has a more significant impact on the recycler's inventory than on the recycler's capital. For recyclers, the decline of inventory value has a positive impact on the capital of recyclers, while the decline of capital value has a negative impact on the capital of recyclers. The impact of retailer order smoothing time on recycler inventory and capital is uncertain. Therefore, recyclers should strengthen fund management, establish insurance mechanism and prepare reserves to prevent the impact of external variable fluctuations on recyclers' funds. At the same time, in view of the uncertainty caused by exogenous variables related to manufacturers and retailers on recyclers' funds and inventory, recyclers need to deal with it through information sharing, compensation mechanism, incentive and other ways.AcknowledgementsSupported by a project grant from National Natural Science Foundation of China (Grant No.71764019), the National Social Science Foundation of China (Grant No.19BGL187), the Planning Project of Philosophy and Social Science of Inner Mongolia (Grant No.2021NDB082), Inner Mongolia Natural Science Foundation (Grant No.2021MS07016 and 2020MS07020) and Research Center for Resources, Environment and Energy Development Strategic.

Remote Music Teaching Classroom Based on Machine Learning and 5G Network Station

Most recently, the technological impacts are increasing day by day. Artificial intelligence, machine learning, deep learning, and big data are used to acquire enough application feasibility to reduce work pressure for humans. The way information society is being developed in this world will result in some changes in the development of the education system. The impact will result in some changes in the development of the education system. This research focuses on improving remote music teaching following the presence of a 5G network. Data perception handling is considered the central issue in remote communication, which creates some inabilities to achieve better communication between the systems. To avoid this kind of risk management, most schools and colleges have planned to create a separate network working under wireless connections while delivering the course content to a minimum number of students. Another effective integration of this evolution is efficiently building the remote music education system. Here the compatibility should match both the cases, be they students or the teachers. In this case, network speed is considered one of the most significant impacts on students listening to online classes. Therefore, a 5G network might be the best path to take by increasing the network speed and giving a strong impetus. The proposed system utilizes convolutional neural network (CNN) algorithm to train the intelligent system to provide remote music education through wireless 5G networks. The parameters used for analyzing the proposed system with the existing system are compline, uncertainty, unconfirmed, and out-of-place. The proposed algorithm has achieved an overall accuracy of 99.13% than the existing system.

Practical COVID-19 Prevention Training for Obstetrics and Gynecology Residents Based on the Conceive-Design-Implement-Operate Framework.

BackgroundThe spread of COVID-19 poses a challenge for obstetrics and gynecology (O&G) residents. In order to improve the theoretical knowledge and practical skills of residents in epidemic prevention and control, reduce work pressure and improve professional skills, effective and sound training models are required to improve the protection of O&G residents from COVID-19.MethodA total of 38 standardized training O&G residents working in Shengjing Hospital of China Medical University in March 2020 was selected. They were randomly divided into intervention and control groups. The control group underwent a protection theory exposition according to the traditional training method, while the intervention group adopted a conceive–design–implement–operate (CDIO) mode, arranged training courses in combination with the O&G specialty, and completed four modules of CDIO. After the training, the theoretical knowledge and practical operation were assessed, and the work stress and occupational identity scales were assessed. The assessment results and scores of the two groups of residents were analyzed.ResultsCompared with the scores of the residents in the control group, the theoretical and technical scores of the residents in the intervention group significantly improved (P < 0.05). In the evaluation of organizational management, workload, interpersonal relationship, and doctor–patient relationship pressure, the scores of the intervention group were lower than those of the control group, with a statistical difference (P < 0.05). For the intervention group, the job stress and professional identity evaluation scores were significantly higher than those of the control group (P < 0.05).ConclusionThe CDIO model can effectively enhance the theoretical knowledge and practical skills of O&G residents in COVID-19 epidemic prevention protocols to reduce work pressure and improve professional identity. In addition, it provides new ideas, methods, and approaches for future clinical practice training.

Design and Implementation of Smart City Applications Based on the Internet of Things

&lt;p class="0abstract"&gt;Since the emergence of the Coronavirus and its declaration as a global pandemic, the world has changed all sectors radically. Covid-19 has caused a very strong effect on daily life and adaptation to new ways of learning, working, and communicating. The smart city is one of the most important solutions that enable us to go on with daily life during the pandemic and beyond. The smart city employs the current technology and smart solutions to serve the community, and improve the services provided to the people, particularly in vital sectors such as health, education, electricity, transportation, communications, and others. This article deals with two innovative applications for the Internet of things in smart cities: The first refers to designing an intelligent health monitoring system, which aims to reduce the spread of Coronavirus infection from people to the medical staff, as well as reduce work pressure on the medical staff. The second application refers to monitoring electrical energy consumed by measuring and monitoring electrical parameters and energy consumption. In addition, it helps us to know the power line trespasser. Both systems are implemented by using sensors to gather data in real-time and then transmit it to the server.&lt;/p&gt;

دور مبادئ إدارة الاحتواء العالي في الحد من اثار الضغوط الوظيفية: دراسة حالة في شرکة الحريري للبناء والمقاولات

يرکز الهدف الرئيس لهذا البحث في بناء واختبار النموذج الذي يفسر الأثر المترتب على العلاقة بين مبادئ إدارة الاحتواء العالي للحد من الضغوط الوظيفية الذي أقترح في ضوء مراجعة الأدبيات المتعلقة بمتغيري البحث, اللذين أکدا على دور مبادئ إدارة الإحتواء العالي في تحقيق الميزة التنافسية المستدامة التي تمهد الطريق نحو تحقيق النجاح المنظمي, وإن سعي المنظمات في الوصول لهذا الهدف تطلب منها تقليل ضغوط العمل الوظيفية عبر تلک المبادئ , ولتحقيق ذلک التصور، طرح الباحثان عرضا نظريا لمفهومي (مبادئ إدارة الاحتواء العالي والضغوط الوظيفية)، تم بناء نموذج افتراضي جسدت فيه العلاقات الافتراضية بين المتغيرين المبحوثين، واختبرت تلک العلاقات بتوظيف عدد من الأساليب الإحصائية وهي: ، معامل ارتباط الرتب (Spearman)، معامل الانحدار البسيط (Simple Regression)، ومعامل اختبار (Mann Whitney) التي اعتمدت في تحليل البيانات التي تعبر عن استجابة الأفراد العاملين في شرکة الحريري للمقاولات بوصفهم عينة للبحث، والبالغ عددهم (86) فردا ضمن المستوى الوظيفي الاول والثاني متمثلين برؤساء الاقسام والشعب الادارية، وقد صبت نتائج التحليل في صالح تأکيد صحة فرضيات البحث وأبرزها: وجود علاقة ارتباط معنوية سالبة بين مبادئ إدارة الإحتواء العالي وأبعاد الضغط الوظيفي، فضلا عن الأثر السلبي لمبادئ إدارة الإحتواء العالي وأبعاد الضغوط الوظيفية. واستنادا إلى ما توصلت إليه الدراسة من نتائج فقد وضعت مجموعة من التوصيات کان من أهمها على الشرکة المبحوثة تعزيز ممارسات الموارد البشرية المتمثلة بمبادئ إدارة الاحتواء العالي التي تساعد في الحصول على مخرجات عمل فائقة من العاملين فضلا عن ضرورة قيام القيادات الإدارية في الشرکة المبحوثة بمعالجة مسببات الضغوط وبحسب ماجاء في ترتيبها من قبل المبحوثين للحد أو التخفيف من ضغوط العمل التي يعاني منها العاملين في الشرکة المبحوثة. The main objective of this research is to build and test the model that explains the impact of the relationship between high containment management practices to reduce functional stress, which we propose in light of the literature review of the research variables, which emphasized the role of high containment management principles in achieving sustainable competitive advantage that paves the way for achieving organizational success; and that the organizations’ efforts to achieve this goal required them to reduce the pressures of work through these principles. To achieve this, the researchers presented a theoretical presentation of the concepts of (management of high containment and functional pressures) in which the virtual relationships between the two variables are studied. These relationships were tested using a number of statistical methods: arithmetic mean, standard deviation, percentages, spearman, simple regression, and Mann Whitney. The results of the analysis were used to confirm the validity of the research hypotheses, most notably: the existence of a negative correlation between the principles of higher containment management and dimensions of career pressure, as well as the negative impact of the higher principles of containment management and the dimensions of job pressure. Based on the findings of the study, a number of recommendations were made, namely: bolstering human resources practices represented in the principles of high containment management, which help in obtaining the outstanding work outputs, administrative leaders of the investigated company should address the causes of stress to eliminate or reduce work pressure suffered by employees in the investigated company.

The Relationship Between Time Management and Work Stress Among Members of Educational Planning in the General Directorates of Education in the Sultanate of Oman

The study aimed to examine the relationship between time management and work stress among the educational planning members in the General Directorate of Education in the Sultanate of Oman. It also aimed to identify whether there are statistically significant differences in time management and job stress among the participants with regard to the years of experience. The study sample consisted of 39 educational planning members. They completed the Time Management Behaviors Scale and Workplace Stressors Assessment Questionnaire. One of the main findings of this study was that the level of time management among the subjects was high, while the level of job stress was low. Results also showed a moderate and negative correlation between time management and job stress. No statistically significant difference in time management and job stress with regard to the years of experience was found. The results also supported the proposed theoretical model of the study. Based on the findings, the study recommended making use of the techniques that the participants apply to manage their time and to alleviate the workplace stressors they face. Furthermore, the education officials should pay more attention to enhancing the concept of time management by holding training courses and workshops for the ministry employees in order to increase their productivity, enhance job satisfaction, and reduce work pressures.

Reducing work pressure and IT problems and facilitating IT integration and audit & feedback help adherence to perioperative safety guidelines: a survey among 95 perioperative professionals

BackgroundTo improve perioperative patient safety, guidelines for the preoperative, peroperative, and postoperative phase were introduced in the Netherlands between 2010 and 2013. To help the implementation of these guidelines, we aimed to get a better understanding of the barriers and drivers of perioperative guideline adherence and to explore what can be learned for future implementation projects in complex organizations.MethodsWe developed a questionnaire survey based on the theoretical framework of Van Sluisveld et al. for classifying barriers and facilitators. The questionnaire contained 57 statements derived from (a) an instrument for measuring determinants of innovations by the Dutch Organization for Applied Scientific Research, (b) interviews with quality and safety policy officers and perioperative professionals, and (c) a publication of Cabana et al. The target group consisted of 232 perioperative professionals in nine hospitals. In addition to rating the statements on a five-point Likert scale (which were classified into the seven categories of the framework: factors relating to the intervention, society, implementation, organization, professional, patients, and social factors), respondents were invited to rank their three most important barriers in a separate, extra open-ended question.ResultsNinety-five professionals (41%) completed the questionnaire. Fifteen statements (26%) were considered to be barriers, relating to social factors (N = 5), the organization (N = 4), the professional (N = 4), the patient (N = 1), and the intervention (N = 1). An integrated information system was considered an important facilitator (70.4%) as well as audit and feedback (41.8%). The Barriers Top-3 question resulted in 75 different barriers in nearly all categories. The most frequently reported barriers were as follows: time pressure (16% of the total number of barriers), emergency patients (8%), inefficient IT structure (4%), and workload (3%).ConclusionsWe identified a wide range of barriers that are believed to hinder the use of the perioperative safety guidelines, while an integrated information system and local data collection and feedback will also be necessary to engage perioperative teams. These barriers need to be locally prioritized and addressed by tailored implementation strategies. These results may also be of relevance for guideline implementation in general in complex organizations.Trial registrationDutch Trial Registry: NTR3568.