Research on Affective Interaction in Mini Public Transport Based on IPA-FMEA

In the promotion of sustainable modes of transport, especially public transport, reasonable failure risk assessment at the critical moment in the process of service provider touch with users can improve the service quality to a certain extent. This study presents a product service touch point evaluation approach based on the importance–performance analysis (IPA) of user and failure mode and effect analysis (FMEA). Firstly, the authors capture service product service touch points in the process of user interaction with the product by observing the user behavior in a speculative design experiment, and perform the correlation analysis of the service product service touch point. Second, the authors use the IPA analysis method to evaluate and classify the product service touch points and identify the key product service touch points. Thirdly, the authors propose to analyze the failure of key product service touch points based on user-perceived affective interaction and clarify the priority of each key touch point. Finally, reluctant interpersonal communication, as the key failure caused by high risk, is derived according to the evaluation report, which leads to establishing new product service touch points and improving the overall user experience to promote sustainable transports with similar forms and characteristics.

Effect of weight-bearing Liuzijue Qigong on cardiopulmonary function.

BACKGROUND: Since the outbreak of coronavirus disease 2019, many people have had to reduce their outdoor activities. Therefore, a convenient, simple, at-home training method to improve or maintain cardiopulmonary function is required. This study aimed to explore the therapeutic effect of weight-bearing Liuzijue Qigong on cardiopulmonary function in healthy volunteers. METHODS: This study was a longitudinal trial. The health participants completed a 4-week Liuzijue Qigong exercise with 0.25 kg sandbag wore on each wrist. Each training session took 30 minutes to complete 2 consecutive cycles, and 5 times a week. The cardiopulmonary function of participants was evaluated at baseline (T0) and the end of the intervention (T4). Outcomes measures were pulmonary function, diaphragm movement, and cardiac hemodynamic parameters. Paired t test was used to analyze differences within the group. RESULTS: After 4 weeks of weight-bearing Liuzijue Qigong exercise intervention, the differences in the forced expiratory volume in the 1st second (P = .006), forced vital capacity rate of 1 second (P = .003), maximal mid-expiratory flow curve (P = .002), forced expiratory flow at 50% of forced vital capacity (P = .003), and maximum ventilatory volume (P < .001) of the participants were statistically significant. The diaphragmatic excursion (P = .009) under the calm breathing mode and the diaphragmatic contraction speed (P = .003) under the deep breathing mode improved significantly. The cardiac output (P = .04), cardiac index (P = .035), contractility index (P = .018), early diastolic filling ratio (P = .042), systemic vascular resistance index (P = .019), systemic vascular resistance (P = .017), and estimated ejection fraction (P = .016) of participants improved significantly in the resting stage. At the end stage of fast walking, that is, the sixth minute of six-minute walk test, the stroke volume index (P = .048), heart rate (P = .019), cardiac output (P = .008), cardiac index (P = .003), and left cardiac work index (P = .028) of participants were significantly increased compared with those before training, and the systemic vascular resistance index (P = .003) and systemic vascular resistance (P = .005) were decreased. CONCLUSION: Weight-bearing Liuzijue Qigong training significantly improved cardiopulmonary function in healthy volunteers, thus representing home-based cardiopulmonary rehabilitation training.

A Telecommuting Experience Service Design Decision Model Based on BP Neural Network.

Introduction: The telecommuting experience and job performance have been significantly impacted by the COVID-19 pandemic, and job performance stability of telecommuting employees has become a critical concern. Objective: A decision model for telecommuting experience service design was constructed based on a backpropagation (BP) neural network to provide a theoretical basis for enterprises to evaluate telework performance and the psychological health of employees. Methods: The analytic hierarchy process (AHP) was used to determine the core stakeholders. The grey relational analysis (GRA) method and the NASA Task Load Index (NASA-TLX) scale were used to measure the factors affecting employees' telecommuting experience and job performance. A BP neural network relationship model of employees' telecommuting experience was established to predict its impact on employees' job performance. Results: Based on the model prediction results, a service system map was created, and the potential to enhance the telework performance of employees was evaluated. Discussion: It was concluded that the factors affecting the telecommuting experience were diverse, but emotions had the dominant influence. Significant positive correlations were found between emotional impact and temporal perception, execution difficulty, and communication barriers. Conclusion: The proposed decision model for telecommuting experience service design accurately predicted the impact of telecommuting efficiency, providing an effective approach for innovative remote management.

Advances in "long COVID" syndrome

SARS-CoV-2 has rapidly spread across the world and infected hundreds of billions of people worldwide. As our understanding of this disease continues to increase, the knowledge of the complications and sequelaes of this disease is also growing. For the time being, such complications and sequelaes are collectively termed as Long COVID. Similar to the acute infection stage of COVID-19, Long COVID is also heterogeneous. This review discusses various persistent complications and sequelaes observed in multiple organ systems caused by Long COVID, in order to increase people's attention to the Long COVID patients and enable them to obtain better quality of life.

A Telecommuting Experience Service Design Decision Model Based on BP Neural Network

Introduction The telecommuting experience and job performance have been significantly impacted by the COVID-19 pandemic, and job performance stability of telecommuting employees has become a critical concern. Objective A decision model for telecommuting experience service design was constructed based on a backpropagation (BP) neural network to provide a theoretical basis for enterprises to evaluate telework performance and the psychological health of employees. Methods The analytic hierarchy process (AHP) was used to determine the core stakeholders. The grey relational analysis (GRA) method and the NASA Task Load Index (NASA-TLX) scale were used to measure the factors affecting employees’ telecommuting experience and job performance. A BP neural network relationship model of employees’ telecommuting experience was established to predict its impact on employees’ job performance. Results Based on the model prediction results, a service system map was created, and the potential to enhance the telework performance of employees was evaluated. Discussion It was concluded that the factors affecting the telecommuting experience were diverse, but emotions had the dominant influence. Significant positive correlations were found between emotional impact and temporal perception, execution difficulty, and communication barriers. Conclusion The proposed decision model for telecommuting experience service design accurately predicted the impact of telecommuting efficiency, providing an effective approach for innovative remote management.

Changes in Refractive Error Under COVID-19: A 3-Year Follow-up Study.

INTRODUCTION: To investigate changes in refractive error in schoolchildren before and during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: This study included 2792 students, who underwent a 3-year follow-up from 2018 to 2020. All participants underwent yearly noncycloplegic refraction and ocular examinations. Time-related changes in sphere, cylinder, and spherical equivalent (SE) measurements in both genders were analyzed. RESULTS: The myopic sphere (- 0.78 ± 1.83 vs. - 1.03 ± 1.91 D; P = 0.025) and SE (- 1.04 ± 1.90 vs. - 1.32 ± 1.99 D; P = 0.015) progressed significantly from 2018 to 2019. Female participants had a significantly greater change in SE than male participants (P < 0.05), and the low hyperopia, emmetropia, and mild myopia groups significantly deteriorated (P < 0.001) from 2018 to 2019. Significant differences in sphere change (- 0.21 ± 0.97 vs. - 0.36 ± 0.96 D; P < 0.001) and SE change (- 0.23 ± 0.99 vs. - 0.38 ± 0.98 D; P < 0.001) were noted between 2019-2018 and 2020-2019, respectively. The respective changes in cylinder were statistically similar (- 0.03 ± 0.53 vs. - 0.05 ± 0.62 D; P = 0.400). CONCLUSIONS: The refractive status of schoolchildren showed an increasing myopic shift trend before and during the COVID-19 pandemic. The low hyperopia, emmetropia, and mild myopia groups were more sensitive to environmental changes during COVID-19 than before. The myopic shift was greater in female participants than male participants.

Safety of inactivated COVID-19 vaccine in tuberous sclerosis complex patients with epilepsy treated with rapamycin.

PURPOSE: To assess the safety of inactivated coronavirus 2019 disease (COVID-19) vaccine in tuberous sclerosis complex (TSC) patients with epilepsy. METHODS: All patients with epilepsy were selected from Efficacy and Safety of Sirolimus in Pediatric Patients with Tuberous Sclerosis (ESOSPIT) project and younger than 17 years old. The patients were treated with mTOR inhibitors (rapamycin). A total of 44 patients who completed the two-dose inactivated COVID-19 vaccine between July 7, 2021, and January 1, 2022, were enrolled. RESULTS: The median age of seizure onset was 23 months. About two-thirds of patients have focal seizures. Thirty-three patients use antiseizure medications. The mean duration of rapamycin treatment was 55.59 ± 18.42 months. Adverse reactions within 28 days after injection occurred in 11 patients (25%), all were under 12 years old. Injection site pain was the most reported event (20.45%), which was mild in severity and improved within one day. All patients had no seizure-related changes after vaccination. CONCLUSION: This study shows that the inactivated COVID-19 vaccine was well tolerated and safe in TSC patients with epilepsy, as well as for those treated with mTOR inhibitors.

Genetic characteristics and genetic evolution of porcine epidemicdiarrhea virus strain FJLY1703 in western Fujian province

In order to clarify the recombination and genetic evolution of porcine epidemic diarrhea virus (PEDV) isolates inwestern Fujian, a PEDV strain (FILY1703) was isolated from PEDV infected piglet samples in western Fujian, and its N, E, M and Sgenes were amplified by PCR and further sequenced and analyzed by bioinformatics software in this study. The homology andevolutionary analysis results showed that FJLY1703 had low homology and distant relationship with classical strains such as CV777, but high homology and close evolutionary relationship with the prevalent variants isolated in domestic after 2010. The amino acidsequence analysis showed the COE of FJLY1703 strain S protein had 8 mutations that were similar to prevalent variants in Chinaafter 2010 in comparison with the vaccine strain CV777. Further more, the amino acid sequence of FJLY1703 strain E, M and N genes had 1, 3 and 12 mutation sites respectively, which were the same as the prevalent variants in China. Recombination analysis ofS gene showed that FJLY1703 was a recombination strain of classical strain CV777 and mutant strain that prevalent variants after2010, and suggested the need to develop a vaccine against PEDV epidemic strains to control the infection of PEDV. This studyprovided data support for the epidemiological study of PEDV in China.