A new method for solving the mobile payment scheduling problem using harris hawks optimization algorithm during the COVID-19 pandemic

The Coronavirus Disease 2019 (COVID-19) epidemic is causing once-in-a-century upheavals in global civilization. Payment systems have advanced lately, from simple cash or credit card transactions to various forms of mobile payment systems. This transformation is occurred due to COVID 19 and shifts in the economy, the growth of social networks, technical advancements on the Internet, and the increased usage of mobile devices. Throughout COVID19, this article offers a unique approach to the payment scheduling issue, which seeks out a timetable that enhances the project's stakeholders' benefit. Both the sponsor and the contractor in a project want to have a strong payment plan on their own. To create an equal schedule between the sponsor and the development team, the timing of payments and the completion periods of project activities are decided concurrently. The Harris hawks optimization method is designed to tackle the problem because of its high NP-hardness. Harris hawks optimization is a novel meta-heuristic nature-inspired optimizer inspired by how Harris hawks hunt food in nature. By comparing the suggested Harris hawks optimization optimizer to existing nature-inspired methods, the efficacy of the suggested Harris hawks optimization optimizer is determined. The Harris hawks optimization algorithm appears to be highly promising based on the statistical findings and comparisons. The MATLAB simulator's simulation findings confirm the algorithm's superiority over earlier efforts regarding energy, cost, delay time, and net value.

Empathic Psychology: A Code of Risk Prevention and Control for Behavior Guidance in the Multicultural Context

This study aims to uncover the relationship among multicultural differences, empathy, and the behaviors of risk prevention and control in the context of crisis events by using a sample of 300 individuals in 10 different multicultural countries. A theoretical logic model was applied to empirical analysis, and the results indicated that cultural differences positively influenced the behavior of empathy communication and risk prevention and control. Further analyses revealed that real-time monitoring of changes in empathy could provide better options of measures for local risk prevention and control when the same crisis event occurred in a multicultural context. With user-generated content (UGC) emerging in the web 2.0 era, this paper proposed a more profound empathy code regarding the periodicity of risk prevention and control. This paper expects to contribute to the circumvention of cognitive errors caused by cultural differences, and to further provide effective conduction for individuals' risk prevention and control behaviors.

A human monoclonal antibody potently pan-neutralizes SARS-CoV-2 VOCs by targeting RBD invariant sites (preprint)

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a global pandemic of novel corona virus disease (COVID-19). The neutralizing monoclonal antibodies (mAbs) targeting the receptor binding domain (RBD) of SARS-CoV-2 are among the most promising strategies to prevent and treat COVID-19. However, SARS-CoV-2 variants of concern (VOCs) profoundly reduced the efficacies of most of mAbs and vaccines approved for clinical use. Herein, we demonstrated mAb 35B5 efficiently neutralizes both wild-type (WT) SARS-CoV-2 and VOCs, including B.1.617.2 (delta) variant, in vitro and in vivo. Cryo-electron microscopy (cryo-EM) revealed that 35B5 neutralizes SARS-CoV-2 by targeting a unique epitope that avoids the prevailing mutation sites on RBD identified in circulating VOCs, providing the molecular basis for its pan-neutralizing efficacy. The 35B5-binding epitope could also be exploited for the rational design of a universal SARS-CoV-2 vaccine.

Persistently Reduced Pulmonary Function and Quality of Life in Patients With Mild COVID-19 One Year After Discharge: a Cohort Study (preprint)

Purpose: The epidemiological and clinical features, pathogenesis, and complications of patients with COVID-19 in the acute phase have been well described, but the long-term prognosis and rehabilitation of the patients remain largely unknown. Methods: 39 COVID-19 patients were followed up at 3, 6, and 12 months after discharge. The mental health, pulmonary function, exercise capacity, and quality of life were assessed by Self-Depression Scale and the Self Anxiety Scale, pulmonary function test, 6MWT, 36-Item Short-Form, respectively. Results: Total 33 survivors completed the assessment, 40.8 ± 0.8 years, body mass index= 22.7 ±1.3 kg/m 2 . The length of hospital stays was 19.6 ± 6.6 d. One year after discharge, the mean scores of SDS and SAS showed decreasing trends from 3-months to 12-months post-discharge. 6 patients (18.2%) had FVC <80% of the predicted value, 12 patients (36.4%) had FEV1 <80% of the predicted value. And 9 (27.3%), 3 (9.1%), and 2 (6.1%) of the patients showed reduced FEF25, FEF50, and FEF75 (<70% expected values), respectively. The mean 6MWD values increased significantly from 397±25.4 m at 3-months to 514±40.8 m at 12-months. Conclusions: the impaired pulmonary function in mild COVID-19 survivors was noted after 12 months discharging from hospital. The exercise capacity, mental status, and health status were lower than those of the normal population.

Improve teaching with modalities and collaborative groups in an LMS: an analysis of monitoring using visualisation techniques.

Monitoring students in Learning Management Systems (LMS) throughout the teaching-learning process has been shown to be a very effective technique for detecting students at risk. Likewise, the teaching style in the LMS conditions, the type of student behaviours on the platform and the learning outcomes. The main objective of this study was to test the effectiveness of three teaching modalities (all using Online Project-based Learning -OPBL- and Flipped Classroom experiences and differing in the use of virtual laboratories and Intelligent Personal Assistant -IPA-) on Moodle behaviour and student performance taking into account the covariate "collaborative group". Both quantitative and qualitative research methods were used. With regard to the quantitative analysis, differences were found in student behaviour in Moodle and in learning outcomes, with respect to teaching modalities that included virtual laboratories. Similarly, the qualitative study also analysed the behaviour patterns found in each collaborative group in the three teaching modalities studied. The results indicate that the collaborative group homogenises the learning outcomes, but not the behaviour pattern of each member. Future research will address the analysis of collaborative behaviour in LMSs according to different variables (motivation and metacognitive strategies in students, number of members, interactions between students and teacher in the LMS, etc.).

Management of acute type A aortic dissection during COVID-19 outbreak: Experience from Anzhen.

OBJECTIVES: We seek to report our management protocol and early outcomes of acute type A aortic dissection (ATAAD) repair during the early phase of coronavirus disease 2019 (COVID-19). METHODS: From January 23 to April 30, 2020, we performed ATAAD repair for 33 patients, including three with pregnancy-related TAADs. Confirmation of COVID-19 depended on the results of two nucleic acid tests and pulmonary computed tomography scan. Based on testing results and hemodynamic stability, patients were triaged to an isolated intensive care unit or negative pressure operating room for emergency surgery. RESULTS: Mean age 50.2 ± 13.3 years and 20 were male (60.1%) and 8 patients were febrile (>37.3°C; 24.2%) and 17 were lymphopenic (51.5%). No patient was excluded from COVID-19 infection preoperatively. Extensive aortic repair with total arch replacement (TAR) was performed in 24 (72.7%), and limited proximal repair in 9 patients (27.3%). Cardiopulmonary bypass and cross-clamp times averaged 177 ± 34 and 88 ± 20 min for TAR, and 150 ± 30 and 83 ± 18 min for hemiarch, respectively. The mean operation time was 410 ± 68.3 min. Operative mortality was 6.1% (2/33). Complications included reintubation in four (12.1%), acute kidney failure in two (6.1%), and cerebral infarction in one (3.0%). No paraplegia nor re-exploration for bleeding occurred. COVID-19 was excluded in 100% eventually. No nosocomial infection occurred. Nor did any patient/surgical staff develop fever or test positive during the study period. CONCLUSIONS: The results of this study show that our management protocol based on testing results and hemodynamic stability in patients with ATAAD during the COVID-19 pandemic was effective and achieved favorable early surgical outcomes.

Virus load and virus shedding of SARS-CoV-2 and their impact on patient outcomes.

BACKGROUND: Understanding a virus shedding patterns in body fluids/secretions is important to determine the samples to be used for diagnosis and to formulate infection control measures. AIM: To investigate the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) shedding patterns and its risk factors. METHODS: All laboratory-confirmed coronavirus disease 2019 patients with complete medical records admitted to the Shenzhen Third People's Hospital from January 28, 2020 to March 8, 2020 were included. Among 145 patients (54.5% males; median age, 46.1 years), three (2.1%) died. The bronco-alveolar lavage fluid (BALF) had the highest virus load compared with the other samples. The viral load peaked at admission (3.3 × 108 copies) and sharply decreased 10 d after admission. RESULTS: The viral load was associated with prolonged intensive care unit (ICU) duration. Patients in the ICU had significantly longer shedding time compared to those in the wards (P < 0.0001). Age > 60 years [hazard ratio (HR) = 0.6; 95% confidence interval (CI): 0.4-0.9] was an independent risk factor for SARS-CoV-2 shedding, while chloroquine (HR = 22.8; 95%CI: 2.3-224.6) was a protective factor. CONCLUSION: BALF had the highest SARS-CoV-2 load. Elderly patients had higher virus loads, which was associated with a prolonged ICU stay. Chloroquine was associated with shorter shedding duration and increased the chance of viral negativity.

Description of COVID-19 cases along with the measures taken on prevention and control in Zhejiang, China.

Under the outbreak of COVID-19, it was urgent to analyze the cases from clinical features and epidemiological factors, as well as understand the effectiveness of measures taken on disease prevent and control. A retrospective study was applied for descriptive analysis of clinical features and epidemiological factors of confirmed cases in four cities of Zhejiang. The Onset-admission interval was calculated and plotted as well. The provincial measures regarding the response of COVID-19 were summed up and sorted out. The distribution and sex and age were under normality distribution, and the age of 20 to 80 were all in risk of developing the disease. Clinical features of fever and cough were found mostly happen on patients. More than half of the patients had image changed on chest from reported data. The factor of closely contacted with confirmed cases was the most cause to the disease. The median onset-admission interval was 6 days in Zhejiang province. As of the efficient health system, COVID-19 had been successfully prevented and controlled in Zhejiang. Males and females were all vulnerable to COVID-19. Preventing contact with confirmed cases could largely avoid the disease to happen. The government should take emergent and effective measures to prevent and treatment of the pandemic disease.

Epidemiological, Clinical Characteristics and Outcome of Medical Staff Infected with COVID-19 in Wuhan, China: A Retrospective Case Series Analysis (preprint)

Backgrounds Since December 2019, a novel coronavirus epidemic has emerged in Wuhan city, China and then rapidly spread to other areas. As of 20 Feb 2020, a total of 2,055 medical staff confirmed with coronavirus disease 2019 (COVID-19) caused by SARS-Cov-2 in China had been reported. We sought to explore the epidemiological, clinical characteristics and prognosis of novel coronavirus-infected medical staff. Methods In this retrospective study, 64 confirmed cases of novel coronavirus-infected medical staff admitted to Union Hospital, Wuhan between 16 Jan, 2020 to 15 Feb, 2020 were included. Two groups concerned were extracted from the subjects based on duration of symptoms: group 1 (<= 10 days) and group 2 (>10 days). Epidemiological and clinical data were analyzed and compared across groups. The Kaplan-Meier plot was used to inspect the change in hospital discharge rate. The Cox regression model was utilized to identify factors associated with hospital discharge. Findings The median age of medical staff included was 35 years old. 64% were female and 67% were nurses. None had an exposure to Huanan seafood wholesale market or wildlife. A small proportion of the cohort had contact with specimens (5%) as well as patients in fever clinics (8%) and isolation wards (5%). Fever (67%) was the most common symptom, followed by cough (47%) and fatigue (34%). The median time interval between symptoms onset and admission was 8.5 days. On admission, 80% of medical staff showed abnormal IL-6 levels and 34% had lymphocytopenia. Chest CT mainly manifested as bilateral (61%), subpleural (80%) and ground-glass (52%) opacities. During the study period, no patients was transferred to intensive care unit or died, and 34 (53%) had been discharged. Higher body mass index (BMI) (HR 0.14; 95% CI 0.03-0.73), fever (HR 0.24; 95% CI 0.09-0.60) and higher levels of IL-6 on admission (HR 0.31; 95% CI 0.11-0.87) were unfavorable factors for discharge. Interpretation In this study, medical staff infected with COVID-19 have relatively milder symptoms and favorable clinical course, which may be partly due to their medical expertise, younger age and less underlying diseases. Smaller BMI, absence of fever symptoms and normal IL-6 levels on admission are favorable for discharge for medical staff. Further studies should be devoted to identifying the exact patterns of SARS-CoV-2 infection among medical staff.