The influence of interdisciplinary literacy on learning effects among college students: the mediating effects of online physical education on learning behavior

IntroductionThe development of high-quality physical education curriculums is required in the information age. Interdisciplinary literacy and student learning behavior are two significant factors that affect the quality of teaching and learning. This study explores the relationship between interdisciplinary literacy (IDL) and learning effects (LE) among Chinese college students during the COVID-19 pandemic, as well as the mediating effects of online physical education learning behaviors (OPELB). This research aims to provide a reference for the development of high-quality online physical education. MethodsThe study involved 691 college students from 10 general universities in Shaanxi Province as research subjects. Descriptive statistics, Pearson correlation analysis, multiple regression analysis and Bootstrap testing were used to evaluate the mediating effects. ResultsThere was a significant positive relationship between the three variables of IDL, OPELB, and LE (p < 0.001). Multiple regression analysis found that IDL significantly and positively predicted LE and OPELB (p < 0.001), and OPELB predicted LE (p < 0.001). IDL among college students had a total effect of 0.816 on LE, with OPELB accounting for 22.67% of the mediated effect. DiscussionThis study demonstrates that OPELB has a partial mediating effect on IL and LE, and stable IDL and OPELB improve LE. Therefore, teachers should pay attention to improving students' IDL while encouraging them to develop better OPELB to achieve satisfactory learning outcomes.

Mechanism of interferon induction by cannabidiol (CBD) and analogues in lung cancer cells

CBD, an FDA approved drug for epilepsy, may have therapeutic potential for other diseases and is currently being tested for efficacy in cancer-related clinical trials. As the literature about CBD, especially in vitro reports, is often contradictory, increasing our understanding of its specific action on a molecular level will allow to determine whether CBD can become a useful therapy or exacerbates specific cancers in a context-dependent manner. Due to its relative lipophilicity, CBD is challenging to dispense at therapeutic concentrations;therefore, one goal is to identify cannabinoid congeners with greater efficacy and reduced drug delivery challenges. We recently showed that CBD activates interferons as a mechanism of inhibiting SARS-CoV-2 replication in lung carcinoma cells. As factors produced by the innate immune system, interferons have been implicated in both pro-survival and growth arrest and apoptosis signaling in cancer. Here we show that CBD induces interferon production and interferon stimulated genes (ISGs) through a mechanism involving NRF2 and MAVS in lung carcinoma cells. We also show that CBDV, which differs from CBD by 2 fewer aliphatic tail carbons, has limited potency, suggesting that CBD specifically interacts with one or more cellular proteins rather than having a non-specific effect. We also identified other CBD-related cannabinoids that are more effective at inducing ISGs. Taken together, these results characterize a novel mechanism by which CBD activates the innate immune system in lung cancer cells and identify related cannabinoids that have possible therapeutic potential in cancer treatment.

The teaching strategic effectiveness of problem-based learning assisted (PBL) with objective structured clinical examination (OSCE) on therapeutic nutrition course.

This purpose of this study is to help students developing problem-solving skills by using Problem-based Learning (PBL) as a teaching model, combining with the Objective Structured Clinical Examination (OSCE) as a training tool to evaluate students' clinical competencies. Sixty-five college junior students from a therapeutic nutrition course were participated. The topics of PBL included diabetes, kidney disease, cancer, and cardiovascular disease. For each disease, pre- and post-test quiz and after class exam were assessed to evaluate the students' learning effectiveness. Due to the impact of the COVID-19 epidemic, OSCE was performed online. The focus group interview and learning effectiveness questionnaire were conducted by the end of this course for all participants. Moreover, 37 students who attended the dietitian internship filled in the learning effectiveness questionnaire again after the internship. The results indicated that after the PBL, the post quiz score for each disease was increased, and through the online OSCE training, students' abilities to master nutrition education and counseling had been upgraded. Students indicated that both PBL and OSCE training could contributed to the learning effectiveness. The better academic performance students were, the more willing they are to work in nutrition-related fields in the future. For those who finished the dietitian internship agreed that they could understand the work content better in general regional and regional hospitals than in teaching ones. In conclusion, PBL teaching model combined with OSCE training could effectively improve students' learning motivation, learning effectiveness and practical application in a therapeutic nutrition course.Copyright © 2022 Nutrition Society in Taipei. All rights reserved.

Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster

Human mobility nowcasting is a fundamental research problem for intelligent transportation planning, disaster responses and management, etc. In particular, human mobility under big disasters such as hurricanes and pandemics deviates from its daily routine to a large extent, which makes the task more challenging. Existing works mainly focus on traffic or crowd flow prediction in normal situations. To tackle this problem, in this study, disaster-related Twitter data is incorporated as a covariate to understand the public awareness and attention about the disaster events and thus perceive their impacts on the human mobility. Accordingly, we propose a Meta-knowledge-Memorizable Spatio-Temporal Network (MemeSTN), which leverages memory network and meta-learning to fuse social media and human mobility data. Extensive experiments over three real-world disasters including Japan 2019 typhoon season, Japan 2020 COVID-19 pandemic, and US 2019 hurricane season were conducted to illustrate the effectiveness of our proposed solution. Compared to the state-of-the-art spatio-temporal deep models and multivariate-time-series deep models, our model can achieve superior performance for nowcasting human mobility in disaster situations at both country level and state level. © 2023 ACM.

Uncovering the Dynamics of Consumption-Based Household Water Footprint in Response to Pandemic: The Hysteresis Effect of Disruption

The socioeconomic disruption of COVID-19 has strong implications for water management. However, it remains unclear how water use related to urban and rural household consumption responded to the outbreak. Taking 15 provincial regions in China for a case study, we quantified the variations of consumption-based household water footprint induced by the first outbreak of the pandemic and tracked the responsive changes of interregional virtual water flows and control relationships. We found in many regions, the most drastic change occurred only a quarter after the major outbreak, when the average water footprint of urban and rural households decreased by 13% and 9%, respectively. This indicates the presence of a hysteretic effect of disruption to household expenditures. With the subsequent recovery of household consumption, the water footprints in many regions rebounded and even surpassed the historical values. Guangdong had a fast rebound in its net virtual water inflow related to urban households because of the fast recovery of its manufacturing and services activities. The pandemic-related water footprint dynamics suggest not only the necessity of timely managing supply chains to prevent shortage of water and water-intensive products, but also the importance of fostering consumption adjustments for conserving water in a post-pandemic era. © 2023 The Authors. Earth's Future published by Wiley Periodicals LLC on behalf of American Geophysical Union.

Organ transplantation and vaccination

Organ transplant recipients are at a high risk of infection with high hospitalization rate, critical rate and fatality, due to low immune function caused by taking immunosuppressants for a period of long time after organ transplantation. Currently, vaccination is recognized as an effective approach to prevent infection. Organ transplant recipients may be vaccinated according to individual conditions. However, the sensitivity to vaccines may decline in organ transplant recipients. The types, methods and timing of vaccination have constantly been the hot spots of clinical trials. In this article, the general principles, specific vaccines and SARS-CoV-2 vaccines of vaccination in organ transplant recipients were briefly reviewed, aiming to provide reference for the vaccination of organ transplant recipients. Moreover, current status of SARS-CoV-2 vaccination for organ transplant recipients was illustrated under the global outbreak of novel coronavirus pneumonia pandemic.Copyright © 2022 Journal of Zhongshan University. All Rights Reserved.

Evaluation and treatment of Coronavirus disease 2019 with obesity.

The pandemic of coronavirus disease 2019 (COVID-19) has spread worldwide and the mortality is high in severe COVID-19 patients. Clinical studies suggested that obesity is an independent risk factor for severe and dead cases of COVID-19. For COVID-19 patients with obesity, early evaluation of obesity-related comorbidities and aggressive treatments, including diet control, airway management, anticoagulant thromboprophylaxis, and management of comorbidities, are encouraged to improve their prognosis.Copyright © 2021, Peking Union Medical College Hospital. All rights reserved.

Clinical Efficacy of Modified Sanxiaoyin in Treatment of Mild or Moderate COVID-19 Patients:Based on Retrospective Analysis.

Objective: To retrospectively analyze the clinical data of 52 patients with coronavirus disease-2019 COVID-19 and explore the clinical efficacy of modified Sanxiaoyin on mild/moderate COVID-19 patients. Method(s): The propensity score matching method was used to collect the clinical data of mild or moderate COVID-19 patients enrolled in the designated hospital of the Second Hospital of Jingzhou from December 2019 to May 2020. A total of 26 eligible patients who were treated with modified Sanxiaoyin were included in the observation group,and the 26 patients treated with conventional method were the regarded as the control. The disappearance of clinical symptoms,disappearance time of main symptoms,efficacy on traditional Chinese medicineTCMsymptoms,hospitalization duration,laboratory test indicators,and CT imaging changes in the two groups were compared. Result(s): The general data in the two groups were insignificantly different and thus they were comparable. After 7 days of treatment,the disappearance rate of fever,cough, fatigue,dry throat,anorexia,poor mental state,and poor sleep quality in the observation group was higher than that in the control groupP<0.05,and the difference in the disappearance rate of expectoration and chest distress was insignificant. For the cases with the disappearance of symptoms,the main symptomsfever, cough,fatigue,dry throat,anorexia,chest distressdisappeared earlier in the observation group than in the control groupP<0.01. After 7 days of treatment,the scores of the TCM symptom scale of both groups decreasedP<0.01,and the decrease of the observation group was larger that of the control groupP<0.01. All patients in the two groups were cured and discharged. The average hospitalization duration in the observation group12.79+/-2.68dwas shorter than that in the control group15.27+/-3.11dP<0.01. The effective rate in the observation group92.31%,24/26was higher than that in the control group76.92%,20/26. After 7 days of treatment,the lymphocyteLYMcount increasedP<0.05,and white blood cellWBCcount and neutrophilNEUTcount decreased insignificantly in the two groups. Moreover,levels of C-reactive protein CRP,erythrocyte sedimentation rateESR,and procalcitoninPCTreduced in the two groups after treatmentP<0.01and the reduction in the observation group was larger than that in the control group P<0.01. Through 7 days of treatment,the total effective rate on pulmonary shadow in the observation group 90.00%,18/20was higher than that in the control group77.27%,17/22P>0.05and the improvement of lung shadow in the observation group was better than that in the control groupP<0.01. Conclusion(s):Modified Sanxiaoyin can significantly alleviate fever,cough,fatigue,anorexia,chest distress,poor sleep quality,and other symptoms of patients with mild or moderate COVID-19,improve biochemical indicators,and promote the recovery of lung function. This paper provides clinical evidence for the application of modified Sanxiaoyin in the treatment of mild or moderate COVID-19.Copyright © 2022, China Academy of Chinese Medical Sciences Institute of Chinese Materia Medica. All rights reserved.

Cost analysis of launching telemedicine services by Peking union Medicalcollege hospital during the pandemic of Coronavirus disease 2019.

Objective To assess the cost of launching telemedicine services by Peking Union Medical College Hospital (PUMCH) during coronavirus disease 2019 pandemic. Methods The patients using telemedicine services were enrolled during the period of pilot run from February 10th to April 15th, 2020. The study was done from the social perspective. A decision-tree model was constructed to compare the costs between telemedicine services and conventional clinical services for outpatients. The main outcome was measured as incre- mental cost-effective ness ratios (ICER). Sensitivity analysis was conducted by using one-way sensitivity analysis. Results During a period of forty-seven days, the online fever clinic was applied 3055 person-times(2070 patients) and the online outpatient clinic were applied 36 549 person-times(20 467 patients). On average, 44 febrile cases/d and 435 nonfebrile cases/d were reduced in the outpatient clinic. It helped to reduce roughly 1/4 (febrile) and 1/5(nonfebrile) of total numbers of the patients in the outpatient clinic during the peak period of the epidemic. If calculated according to the actual free-of-charge condition, the ICER was -64.7 yuans/person-time. If the actual cost of each consultant of telemedicine service was estimated according to the level of outpatient-service fee, the ICER was -5.5 yuans/person-time. The results of sensitivity analysis showed that the main factors affecting the ICERs were transportation cost, lost wages, and the efficiency of telemedicine services. Conclusions Launching telemedicine services helped to relieve the pressure at the outpatient clinics, and has the potential to provide significant cost saving compared to conventional clinic services for outpatients. It is worth considering applying this practice widely in the medical and health services.Copyright © 2021, Peking Union Medical College Hospital. All rights reserved.

Identifying the Superspreader in Proactive Backward Contact Tracing by Deep Learning

The goal of proactive contact tracing is to diminish the spread of an epidemic by means of contact tracing mobile apps and big data analysis. Finding superspreaders as has been used in Japan and Australia during the early days of the COVID-19 pandemic has proven effective as backward contact tracing can pick up infections that might otherwise be missed. In this paper, we formulate a proactive contact tracing problem to identify the superspreaders using maximum-likelihood estimation, graph traversal and deep learning algorithms. This problem is challenging due to its sheer combinatorial complexity, problem scale and the fact that the underlying infection network topology is rarely known. We propose a deep learning-based framework using Graph Neural Networks to iteratively refine the supervised learning of proactive contact tracing networks using smaller infection networks and to identify the superspreader. By optimizing the graph traversal and topological features for deep learning, proactive contact tracing strategies can be developed to contain superspreading in an epidemic outbreak.

Guest Editorial Introduction to the Special Issue on Intelligent Transportation Systems in Epidemic Areas

The COVID-19 pandemic has posed significant challenges to transportation systems in various aspects, such as transferring patients and medical resources, enforcing physical distancing in public transportation, and controlling virus transmission through transportation networks. To address these challenges, a variety of artificial intelligence technologies, such as autonomous driving, big data analytics, intelligent vehicle routing and scheduling, and intelligent traffic control, have been employed in the design of intelligent transportation systems. This Special Issue provides a forum for researchers and practitioners to present the most recent advances in presenting and applying intelligent technologies to promote transportation systems in large-scale epidemics.

When Pandemic Stories Become Personal Stories: Community Journalism and the Coverage of Health Inequalities

Social media's influence on journalistic norms and practices is a prominent theme in journalism studies. For small news organizations, there is not always a clear line between their public image and the online identities of their journalists. Focusing on such ambiguity, this article examines the integration of social media use and journalistic practice at The Local, an independent online news magazine based in Toronto, Canada, as well as its potential implications for community journalism. A qualitative thematic analysis of 300 tweets about the COVID-19 pandemic in Toronto, posted by the magazine's official account and its two star journalists, revealed a unique journalistic approach that prioritized hyper-local, data-informed, and affective storytelling over the traditional norm of journalists as detached observers and information providers. This finding sheds light on how journalism practices at The Local and other comparable digital news startups may contribute to the revival of community journalism. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

Modeling technology changes in air transport in the presence of a market shock: A passenger-based analysis

This paper proposes a formal model to assess the introduction of hydrogen technology in the air transport sector when the initial market is uncovered, a situation relevant to the current COVID-19 crisis. The "flight shame” movement causes some passengers to leave the market while allowing for some willingness-to-pay for cleaner technologies. Starting from a horizontally differentiated duopoly between airlines with old technology and an uncovered market, the introduction of hydrogen technology provides the opportunity for vertical differentiation in line with the increased environmental consciousness of passengers. The principal methodological novelties start from an uncovered market and combine horizontal and vertical differentiation. The main results are the airlines' optimal strategy sets and the adoption strategy dynamics with an increased valuation of quality by passengers. We justify a regulator's intervention and draw several potential policy implications from this dynamic, such as a minimum subsidy level and educational advertising. © 2022

Comparative study on epidemiological characteristics and public health interventions of COVID-19 among China, South Korea, the United States and France based on the poisson regression model

Objective To analyze the trend of COVID-19 epidemic and to comparatively evaluate effects of economic policies, containment and closure policies and health system policies in China , South Korea, the United States (US) and France. Methods Daily confirmed COVID-19 cases and daily comprehensive policy index, specific indicators in mainland China, South Korea, US and France were collected. Considering the lag effect of policy effects, poisson regression model was established to estimate the daily real-time regeneration (Rt) , and the log-log model with variable coefficient was used to compare the prevention and control effects of policies and measures in different countries. Results Containment and closure policies and health system policies were negatively correlated with Rt, and the cumulative lag effect weakens with the increase of lag time. Economic policies were negatively correlated with Rt only in US and France. The effect of American and French policies on Rt was weaker than that of China and South Korea. Conclusion Containment and closure policies and health system policies have a great effect on reducing Rt and controlling the epidemic, the timely and powerful comprehensive blockade measures at the early stage of the epidemic have better effects than mitigation measures. © 2023, Publication Centre of Anhui Medical University. All rights reserved.

Coronavirus disease 2019 vaccination in patients with autoimmune diseases.

Benifits outweigh the risks for patients with autoimmune disease (AID) in remission period to be vaccinated with coronavirus disease 2019 (COVID-19) vaccines. The mRNA vaccines, inactivated vaccines, and recombinant protein subunit vaccines are safe for AID patients, whereas the safety of recombinant adenovirus vector-based vaccines is still uncertain. Some drugs for the treatment of AID may reduce the immune response of the body to the COVID-19 vaccines and affect the immune efficacy of the vaccine, which may be related to the timing of vaccination. Based on several published relevant guidelines and recommendations for the COVID-19 vaccines in AID patients, this article elaborates on vaccination problems to be paid attention to in patients with AID treated with different drugs.Copyright © 2021 by the Chinese Medical Association.

Government policy responses to Covid-19 in sport: a comparative study of China, Russia, Saudi Arabia, UK and the USA

The study examines governments' policy responses in sport during the pandemic casued by Covid-19. Applies Hood and Margetts' (2007) NATO approach to analysing national governments in China, Russia, Saudi Arabia, UK and USA use of policy instruments to affect the governance, access to and consumption of sport. Regardless of ideological persuasions, the five governments have framed exercise and sport as critical for citizens' wellbeing. The directions and limts of central government interventions in sprot depend both on the system of government and the ways that governments choose to engage with sport. © 2023 Informa UK Limited, trading as Taylor & Francis Group.