Research on patient-centered design for post-stroke depression patients based on SEM and comprehensive evaluation.

Introduction: Since COVID-19, medical resources have been tight, making it inconvenient to go offline for the sequelae of diseases such as post-stroke depression (PSD) that require long-term follow-up. As a new digital therapy, VRTL began to gain popularity. Method: The research is divided into two parts: pre-test and post-test. In the pre-test, an evaluation method integrating reality-based interaction (RBI), structural equation model (SEM), analytic hierarchy process (AHP), and entropy weight method is proposed. In the post-test the patients' physiological indicators (Diastolic blood pressure, systolic blood pressure and heart rate) are measured to verify the effectiveness of RBI-SEM model using T-test method. Results: In the pre-test, using SEM, it was confirmed that Pi physical awareness, Bi body awareness, Ei environmental awareness, and Si social awareness were significantly correlated and positively affected VRTL satisfaction (p >> F 0.217; B >> F 0.130; E >> F 0.243; S >> F 0.122). The comprehensive weight ranking based on RBI-SEM considered light environment (0.665), vegetation diversity (0.667), accessible roaming space (0.550) et al. relatively of importance. And T-tset in the post-test experiment considered that the data of the two measurements before and after the VRTL experience, systolic blood pressure (p < 0.01), diastolic blood pressure (p < 0.01), and blood pressure (p < 0.01) were significantly decreased; one-way ANOVA concluded that there was no significant difference in the changes of blood pressure and heart rate among participants of different ages and genders (p > 0.01). Conclusion: This research validated the effectiveness of RBI theory for VRTL design guidelines, established an RBI-SEM based VRTL evaluation model, and the output VRTL for PSD in the older adults was confirmed to have significant therapeutic benefits. This lays the foundation for designers to decompose design tasks and integrate VRTL into traditional clinical treatment systems. Contribution from the public or patients: Four public health department employees helped to improve the research's content.

Combining PCA-AHP Combination Weighting to Prioritize Design Elements of Intelligent Wearable Masks

Intelligent wearable masks are gaining increasing interest due to COVID-19 and the problems and limitations of existing masks. This paper prioritizes the design elements of personal protective equipment-intelligent wearable masks from the perspective of the product design domain. Using principal component analysis (PCA), the principal components of the design elements were selected first in this paper. Using the combined weights (PCA-AHP) method, the intelligent wearable masks' prioritized design elements at each level were determined. The highest priority among the primary elements is comfort (0.3422), with the adjustable ear strap (0.1870) receiving the highest priority among the primary elements of comfort. The highest priority in functionality (0.2733) is anti-respiratory droplets/air purification (0.1097), the highest priority in usability (0.1686) is the easy removal and replacement of filters (0.0761), the highest priority in the aesthetic design (0.1192) is styling (0.0509), and the highest priority in material (0.0967) is flexible fabric material (0.0355). Finally, the six prioritized design elements were evaluated using fuzzy comprehensive evaluation (FCE), and overall, 76% of the experts considered them "appropriate” or "very appropriate” and 18% considered them "fair.” Therefore, this study's six most prioritized design elements proposed for intelligent wearable masks can satisfy users' needs. © 2023 by the authors.

Evaluating the Risk of Social Isolation in Older People: AHP-Fuzzy Comprehensive Evaluation.

Background: Social isolation is a serious and pervasive health issue among older people, and it is difficult to identify and assess effectively. Based on a thorough and scientific evaluation index system, AHP-Fuzzy comprehensive evaluation could be a valuable technique. Objective: It is crucial to establish interventions that focus on risk factors for the prevention of social isolation in order to give a strong scientific foundation for enhancing older people's health habits. This can be achieved by using a fuzzy comprehensive evaluation method to assess the risk of social isolation in older people. Methods: A hundred community members over 60 from Nanjing were selected as the evaluation subjects in China. After the element layer was split into three categories of "social risk, economic risk, and cultural risk" using the analytic hierarchy process approach, a total of 22 assessment indicators were picked to develop a risk evaluation index system. Results: The risk level of social isolation belonging to the "low risk, relatively low risk, medium risk, relatively high risk, high risk" of membership degree are respectively "0.3392, 0.2632, 0.2257, 0.1069, 0.0650". Fuzzy comprehensive evaluation analysis showed that social relations (0.4934), monthly income (0.4654), health status (0.5960) were significant factors of social isolation risk in older people. The results showed that factors related to social risk had the most significant impact on social isolation. Conclusion: It is scientific and feasible to construct the risk evaluation index model of social isolation risk for the elderly by using AHP-Fuzzy comprehensive evaluation method. In preventing social isolation of older people in the future, we should pay attention to the impact of social and cultural factors on them, and provide practical intervention programs and references from the government, community, family.

Research on the Characteristics of Safety Culture and Obstacle Factors among Residents under the Influence of COVID-19 in China.

This study established a comprehensive evaluation indicator model for the safety culture among residents during COVID-19 and an obstacle degree model for the identification of the major factors affecting the residents' safety culture. The results show that the overall level of the safety culture among residents was 0.6059. Safety education, channels for learning knowledge regarding safety, and implementation of safety management systems are currently the major obstacles affecting safety culture among residents, but there is still space for improvement in the future. Furthermore, the level of safety culture was strongly related to the distance from the infected, because this changes the risk of viral infection. There are also differences in obstacle factors in different regions. Therefore, it is necessary to implement measures targeting the improvement of safety culture in accordance with the risk of viral infection. Strategies for strengthening the safety culture are also given in this study for consideration in strategic decision making with the aim of promoting the improvement of safety culture among residents, which may help to reduce the risk of infection with COVID-19 for residents.

Research on Influencing Factors of Satisfaction with the Use of Public Health Internet Platform: Evidence from Ding Xiang Doctor (DXY) Internet Medical Platform.

With the rapid development of Internet information technology, Internet medical platforms are gradually entering daily life. Especially after the outbreak of the COVID-19 pandemic, it becomes very difficult for patients to go out for medical treatment, and the Internet medical platform plays an important role. The study of the use and influencing factors of Internet medical platforms has become a new topic. In this study, evidence from the Chinese Internet medical platform Ding Xiang Doctor(DXY) is combined with an integrated approach of hierarchical analysis and the entropy value method to construct evaluation indexes and questionnaires from four dimensions of perceived quality, perceived value, user trust, and user involvement to analyze the factors influencing users' satisfaction with Internet medical platforms. The questionnaires were distributed online, and 556 questionnaires were distributed from June to August 2022; 520 questionnaires were collected; the questionnaires' recovery rate was 93.53%; after excluding some invalid questionnaires, 424 questionnaires remained; the questionnaire efficiency was 81.54%; the Cronbach coefficient was 0.978; the KMO(Kaiser-Meyer-Olkin) value was 0.977; and the reliability performance was good. The study concluded that: (1) Users pay more attention to the content of perceived value, including the cost of time, economy, expense, and effort spent, and emphasize the degree of personal benefit. (2) Users are less satisfied with the information accessibility, design aesthetics, information timeliness, information comprehensiveness, and classification clarity of the DXY platform. (3) Users pay most attention to the protection of personal privacy by the platform side in the dimension of perceived value. (4) Users' trust in the platform is relatively high, their willingness to use the platform in the future is strong, and the dimensions of online interactive discussion, willingness to pay, and paid services are highly recognized.

Indoor Air Quality Assessment of Metro Stations Based on the Optimal Combination Weight and Improved Fuzzy Comprehensive Evaluation

Aair quality issues and respiratory diseases have become issues of particular concern since the outbreak of the COVID-19 pandemic. The indoor air quality of crowded places such as underground metro stations has received growing attention from passengers and staff, thus requiring both qualitative and quantitative assessment. However, the traditional fuzzy comprehensive evaluation is ineffective in this respect. Therefore, this paper proposed the method of optimal combination weight and improved fuzzy comprehensive evaluation to assess the air quality. First, subjective weights were calculated with the multiple-input weighted precedence chart and analytic hierarchy process;objective weights were computed using the entropy weight and exceedance multiple methods. Second, the moment estimation theory was introduced for the optimal combination of these weights. Results show that the optimal combination weighting method achieves the minimum relative deviation. Moreover, in the traditional fuzzy comprehensive evaluation, the air quality is generally classified based on the maximum membership, and the evaluation is inapplicable when the validity (K0) is less than 0.5. Therefore, the concept of confidence was introduced herein for improvement. Finally, the optimal combination weight and improved fuzzy comprehensive evaluation is proved to be the most reasonable in comparison with the traditional fuzzy comprehensive evaluation and indoor air quality index. This study not only suggests a good method to assess the indoor air quality of metro stations but also provides references for decision makers.

DIGITIZATION INNOVATION IN UNIVERSITY EDUCATION

Covid-19 pandemic and post-pandemic had led to the confrontation of higher education system with enormous challenges. That necessitated the urgent transition from face-to-face –teaching to online -teaching. The change was an innovation in higher education. A comparative study of digital education based on the survey in 2020-2021 in seven different countries was conducted at Shanghai University. The study was based on grey comprehensive evaluation model. In general, developed countries had high comprehensive evaluation value, while Finland, United States of America, South-Korea and Latvia had relatively low grey correlation coefficient in several certain indicators, leading to a sharp drop in the overall score. Romania ranked last while China ranked second as a developing country as well. The study launched a conclusion that research and development personnel, infrastructure funds and university financial investment in digital education had relatively more obvious effects on improving the innovations and quality of higher education system including the leadership system of universities. © Proceedings of the International Conference on E-Learning 2022, EL 2022 - Part of the Multi Conference on Computer Science and Information Systems 2022, MCCSIS 2022. All rights reserved.

Analysis of Main Factors on Evaluation and Selection of Wet Waste Disposal Modes: A Case Study of Universities in Shanghai, China

This paper explores greenhouse gas emission intensity and economy of centralized and on-site wet waste disposal mode, while comprehensively evaluating the two modes for decision-making. Based on the fieldwork in Shanghai’s 20 campuses of 15 universities, multiple scenarios that can reflect the different levels of technology and management in reality, were set for the following studies. The greenhouse gas emissions generated from centralized and on-site disposal modes of wet waste were calculated in two emission scenarios using Life Cycle Assessment, Life Cycle Inventory, and the IPCC 2006 method. Additionally, the continuous cost input from the universities for the two disposal modes was analyzed in three cost-input scenarios using the Net Present Value method. Furthermore, a comprehensive evaluation of the two modes was also conducted by using Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation under the five main factors of greenhouse gas emission—control, economy, stability, education and innovation, and bargaining power for municipal sanitation departments. The results revealed that the centralized disposal mode is superior to the on-site disposal mode in terms of greenhouse gas emission control and economy. The centralized disposal mode is a more rational choice due to the better comprehensive evaluation performance. It was also emphasized that the construction of the wet waste disposal system is so complicated that the academic community and the policymakers may have to pay more attention to the integration of system design, industrial development, and other aspects of wet waste disposal.

Pre-location for temporary distribution station of urban emergency materials considering priority under COVID-19: A case study of Wuhan City, China.

In order to avoid the huge hidden dangers caused by emergencies, it is particularly vital to make a reasonable pre-location and layout of emergency logistics facilities. A multi-objective pre-location model of temporary distribution station for emergency materials was built, which considered the problems of information shortage and uncertain demand after the incident with minimum time, maximum time satisfaction, minimum delivery cost and psychological trauma to the masses. The priority of candidate points was solved by comprehensive evaluation methods, the nominal demand of served points was estimated by triangular fuzzy number theory (TFN), and the location model was solved by non-dominated sorting genetic algorithm. In addition, the optimal schemes without priority and considering it were compared and analyzed, the practicability of the model is verified by concrete examples. The results show the time and cost reduction of 7.754% and 25.651%, an increment of total satisfaction value of the scheme considering location priority. Therefore, the model and algorithm provide theoretical support and practical ideas for solving the location problem, which can better complete the task of the location problem for temporary distribution stations of urban emergency materials.

Comprehensive Benefit Analysis Based on Fuzzy Evaluation of Accommodation Industry in Jiuzhen Mountain Tourist Resort After COVID-19

Because there are many types of accommodation facilities in Jiuzhen Mountain Tourist Resort in Wuhan, the evaluation indexes that affect the accommodation output benefit in Jiuzhen Mountain Tourist Resort, including quality grade, brand effect, government policy, market supply and demand relationship, business subject and consumer habits, should be comprehensively considered. In this paper, the fuzzy comprehensive evaluation method is used to evaluate the outgoing benefits of accommodation products in Jiuzhen Mountain Tourist Resort. The results show that the hotel products within the geographical area have high output efficiency, but there is still the problem of uneven development, so the hotel resources should be optimally allocated, and the service and management should be improved to boost the overall efficiency of the tourism resort accommodation industry. © 2021 ACM.

Evaluation of Infectious Disease Prevention and Control Ability of Medical Buildings in Harbin, China.

OBJECTIVE: Entrusted by the Harbin Municipal Government, evaluation medical building system for prevention and control of sudden infectious diseases in the city has been established. BACKGROUND: China, as a country that found the COVID-19 earlier, has taken strict control measures. However, as the medical building system is not perfect enough to prevent and control sudden infectious diseases. METHOD: First, expert group methodology was used and evaluation index of ability of prevention and control of sudden infectious diseases in medical building system was selected; then fuzzy comprehensive evaluation was adopted to establish index set and to set weight and medical building system evaluation model for prevention and control of sudden infectious diseases was constructed; finally, it's to modify the indicators and weights in the evaluation set and to make an evaluation of the ability of Harbin medical building system to prevent and control sudden infectious diseases in accordance with the current management mode of system. RESULTS: The medical building system in Harbin is significantly unbalanced in its ability to prevent sudden infections where there are low indicators for response monitoring and forecasting terminals, there are high indicators for the construction of emergency center. CONCLUSIONS: The evaluation model of the ability of medical building system to prevent and control sudden infectious diseases was constructed. The model is adopted to make practical evaluation of infectious disease prevention and control ability in Harbin and to form the evaluation method of the direct connection between the theoretical research of medical architecture and medical building design.

Evaluation of the quality of COVID-19 prevention and control by a novel comprehensive evaluation model in a tertiary general hospital: a prospective observational study.

BACKGROUND: Prevention and control (P&C) of Corona Virus Disease 2019 (COVID-19) is still a critical task in most countries and regions. However, there are many single evaluation indexes to assess the quality of COVID-19 P&C. It is necessary to synthesize the single evaluation indexes reasonably to obtain the overall evaluation results. METHODS: This study was divided into three steps. Step 1: In February 2020, the improved Delphi method was used to establish the quality evaluation indexes system for COVID-19 P&C. Step 2: in March 2020, the CRITIC method was used to adjust the Order Relation Analysis (G1) method to obtain the subjective and objective (S&O) combination weights. The comprehensive evaluation value was obtained using the weighted Efficacy Coefficient (EC) method, weighted TOPSIS method, weighted rank-sum ratio (RSR) method, and weighted Grey Relationship Analysis (GRA) method. Finally, the linear normalization method was used to synthesize the evaluation values of different evaluation methods. Step 3: From April 2020 to May 2021, this evaluation method was used to monitor and assess COVID-19 P&C quality in critical departments prospectively. The results were reported to the departments monthly. RESULT: A quality evaluation indexes system for COVID-19 P&C was established. Kendall's consistency test shows that the four evaluation method had good consistency (χ2 = 43.429, P<0.001, Kendall's consistency coefficient = 0.835). The Spearman correlation test showed that the correlation between the combined evaluation results and the original method was statistically significant(P < 0.001). According to the Mann-Kendall test, from March 2020 to May 2021, the mean value of COVID-19 P&C quality in all critical departments showed an upward trend (P < 0.01). CONCLUSIONS: The combined comprehensive evaluation method based on the S&O combined weight was more scientific and comprehensive than the single weighting and evaluation methods. In addition, monitoring and feedback of COVID-19 P&C quality were helpful for the improvement of P&C quality.