Efficacy and safety of acupuncture therapy for asymptomatic infection of COVID-19: A protocol for systematic review and meta-analysis.

BACKGROUND: The study aims to evaluate the effectiveness and safety of acupuncture therapy for asymptomatic infection of COVID-19. METHODS: The following electronic databases will be searched from December 2019 to December 2020: MEDLINE, PubMed, EMBASE, Web of Science, China National Knowledge Infrastructure (CNKI), Wan-fang database, Chinese Scientific Journal Database (VIP), Chinese Biomedical Literature Databases (CBM), and other databases. All published randomized controlled trials (RCTs) about this topic will be included. Two independent researchers will operate article retrieval, duplication removing, screening, quality evaluation, and data analyses by Review Manager (V.5.3.5). Meta-analyses, subgroup analysis, and/or descriptive analysis will be performed based on the included data conditions. RESULTS: High-quality synthesis and/or descriptive analysis of current evidence will be provided from the time of negative nucleic acid detection for 2 consecutive times (not on the same day), cure rate, converting to clinical diagnosis rate, and side effects of acupuncture. CONCLUSION: This study will provide the evidence of whether acupuncture is an effective and safe intervention for asymptomatic infection of COVID-19. PROSPERO REGISTRATION NUMBER: CRD 42020179729.

Synthesis and anti-SARS-CoV-2 evaluation of lipid prodrugs of ß-D-N4-hydroxycytidine (NHC) and a 3'-fluoro-substituted analogue of NHC.

ß-D-N4-hydroxycytidine (NHC, EIDD-1931) is a nucleoside analogue that exhibits broad spectrum antiviral activity against a variety of RNA viruses. Herein, we report the synthesis of a series of lipid prodrugs of NHC and a novel 3'-fluoro modified NHC analogue, and evaluation of their antiviral activity against five variants of SARS-CoV-2. All lipid prodrugs showed potent antiviral activity against the tested SARS-CoV-2 variants with EC50 values in the range of 0.31-3.51 µM, which were comparable to those of NHC or higher than those of remdesivir and molnupiravir. An increase in the cytostatic activity of the lipid prodrugs was found, but prodrug 2d proved equally selective as molnupinavir. The 3'-F analogue of NHC (6) only displayed minor antiviral activity against the SARS-CoV-2 Omicron variant (EC50 = 29.91 µM), while no activity was found for other variants at the highest concentration tested. The promising antiviral data of the lipid prodrugs of NHC suggest that they deserve further investigation as new anti-SARS-CoV-2 drugs.

Gut microbiota: A new insight into lung diseases.

The human gut microbiota is a complex ecosystem involved in the metabolism, immunity, and health of the host. The microbiome plays a key role in the development of the host's innate and adaptive immune system, while the immune system orchestrates the maintenance of host-microbe symbiosis. Lung diseases are usually accompanied by dysbiosis of the intestinal flora and an immune-inflammatory response. The intestinal flora and its metabolites are directly or indirectly involved in the immune regulation of the host in lung disease. However, the exact mechanism of action of the gut-lung axis crosstalk remains unclear. This review is aimed to summarize the latest advances in gut microbiota and their metabolites in typical lung diseases, such as pulmonary hypertension, COPD, and lung cancer. Especially COVID-19, a problem troubling the world, is also discussed in it. Moreover, it is concentrated on the action mechanisms between the identified gut microbiota or their metabolites and the specific lung diseases, and on the link among the gut microbiota, its metabolites, and immune regulation, which could be used as a breakthrough to find new mechanisms and targets for some diseases without specific therapeutic drugs in clinic. It is also discussed a new therapeutic tool "drug-bacterial interaction" and the potential of therapeutic applications in clinic. This review would provide a clear direction for future research on gut microbiota and lung diseases, and propose a new therapeutic strategy targeting "drug-bacterial interaction" in clinic.

How Do Political and Business Ties Matter for Supply Chain Management Capability? An Empirical Test of an Integrative Framework

Supply chain management capability has become increasingly important in highly dynamic and uncertain situations, such as the COVID-19 pandemic. However, our systematic literature review indicates that little is known about how different types of ties influence the intention of firms to adopt B2B platforms and improve international performance. This study aims to explore the important role of political and business ties in the development of supply chain management capability by arguing that political and business ties are positively related to the development of supply chain management capability, which is proposed to shape the intention of firms to adopt B2B platforms and their international performance. Furthermore, we also attempt to develop a framework between potential strategic needs for a firm's supply chain capability development and different ties. Using survey data collected from a sample of 369 firms in China, we test these proposed arguments empirically through structural equation modeling (SEM) analysis. Results demonstrate that political and business ties contribute positively to developing a firm's supply chain capability, positively related to the firm's intention to adopt B2B platforms and international performance. In addition, our study also reveals that supply chain risk significantly modifies the relationships between political or business ties and supply chain capability development. This study provides important contributions to the literature by extending prior research on supply chain management and offers important insights into our understanding of the successful development of supply chain management capability, intention to adopt B2B platforms, and international performance improvement. We believe our findings can help inform how firms can develop supply chain management capability by utilizing different ties.

Improving Circular Supply Chain Performance through Green Innovations: The Moderating Role of Economic Policy Uncertainty

The sudden outbreak and long-term trend of COVID-19 have brought huge attacks and uncertainty to the global economy, forcing countries to introduce various policies frequently to stimulate economic recovery. To realize sustainable development, firms established an environment-friendly economic development model by building a circular supply chain and implementing a green innovation strategy, which is expected to save resources and protect the environment by recycling resources. Based on this background, this study aims to determine the relationship between the uncertainty of economic policy, green innovation strategy, and circular supply chain performance. It divides green innovation strategies into green product innovation, green process innovation, green service innovation, and green logistics innovation to explore their different impacts on the performance of the circular supply chain. Simultaneously, the moderating effect of uncertainty of economic policy between green innovation and the performance of the circular supply chain is explored. Using survey data collected from 308 manufacturing firms in China, we empirically test the theoretical model and proposed hypotheses through the structural equation modeling approach. Our findings demonstrate that green product innovation, green process innovation, green logistics innovation, and green service innovation have a positive impact on the performance of the circular supply chain. Moreover, we also find that, contrary to our expectations, economic policy uncertainty plays a positive role in moderating the relationship between green innovation and circular supply chain performance. We believe that this paper has a clear contribution to the research on green innovation and circular supply chain management. This study provides a new perspective for the research on the integration of green innovation and circular supply chain, deepens firms' understanding of green innovation strategy and circular supply chain, and provides important implications and guidance for manufacturing firms to better manage green innovation and circular supply chain practice as well as the risk of economic policy uncertainty.

Drivers of Artificial Intelligence and Their Effects on Supply Chain Resilience and Performance: An Empirical Analysis on an Emerging Market

The global supply chain has suffered an unprecedented impact Affected by multiple factors such as anti-globalization, rising trade protectionism and the COVID-19 pandemic. Based on the technology-organization-environment framework and resource-based theory, this study attempts to explore and analyze what drives a firm's willingness to adopt artificial intelligence technology and how such willingess to adopt artificial intelligence technology may contribute to supply chain resilience and supply chain performance. Using survey data collected from 318 firms in China, we empirically test our arguments and hypotheses through the structural equation modeling approach. The results suggest that the relative advantages of enterprise artificial intelligence technology, supply chain collaboration, and environmental uncertainty are the three major factors affecting the adoption of artificial intelligence technology, which subsequently provide a positive impact on supply chain resilience and supply chain performance. This study expands the application field and scope of artificial intelligence technology, fills the relatively large gap in the research on the behavior of enterprise users adopting artificial intelligence technology in the supply chain field. This provides a useful reference for enterprises to adopt artificial intelligence technology.

COVID-19 Information Overload, Negative Emotions and Posttraumatic Stress Disorder: A Cross-Sectional Study.

Background: Under the context of the COVID-19 pandemic, a large amount of COVID-19-related information can cause an individual's perceived information overload, further halting the individual's psychological health. As a minor psychological discomfort could develop severe mental disorders such as posttraumatic stress disorder, it is necessary to understand the chain linkage of COVID-19 information overload turn to posttraumatic stress disorder to ensure timely intervention can be offered at each point of mental state transformation. Hence, we examined the negative outcomes of COVID-19 information overload and investigated the direct and indirect effects of COVID-19 on posttraumatic stress disorder. Methods: A convenient sample of Chinese adults (n = 1150) was investigated by an online survey from July 2020 to March 2021. The extent of COVID-19 information overload was measured by the information overload severity scale on the text of the COVID-19 pandemic. Psychological distress symptoms were measured using a 7-item anxiety scale (GAD-7), the 9-item Patient Health Questionnaire depression module (PHQ-9), and the psychometric properties of the PTSD Checklist (PCL-C). Structural equation modeling and bootstrap methods were utilized to analyze the relationships between variables. Results: COVID-19 information overload is positively related to an individual's anxiety, depression, and posttraumatic stress disorder. Furthermore, COVID-19 information overload can indirectly affect an individual's PTSD symptoms by increasing the feeling of depression. R2 values of anxiety, depression, and PTSD were 0.471, 0.324, and 0.795, respectively. Conclusion: COVID-19 information overload, anxiety, depression, and PTSD are negative psychological states, and each variable is closely linked with the others, suggesting the need for potential psychological interventions at specific times. Practical public training, such as crisis coping and information filtering, is essential. Regulation of technology companies is also essential.

COVID-19 Information Overload, Negative Emotions and Posttraumatic Stress Disorder: A Cross-Sectional Study

Background Under the context of the COVID-19 pandemic, a large amount of COVID-19-related information can cause an individual's perceived information overload, further halting the individual's psychological health. As a minor psychological discomfort could develop severe mental disorders such as posttraumatic stress disorder, it is necessary to understand the chain linkage of COVID-19 information overload turn to posttraumatic stress disorder to ensure timely intervention can be offered at each point of mental state transformation. Hence, we examined the negative outcomes of COVID-19 information overload and investigated the direct and indirect effects of COVID-19 on posttraumatic stress disorder. Methods A convenient sample of Chinese adults (n = 1150) was investigated by an online survey from July 2020 to March 2021. The extent of COVID-19 information overload was measured by the information overload severity scale on the text of the COVID-19 pandemic. Psychological distress symptoms were measured using a 7-item anxiety scale (GAD-7), the 9-item Patient Health Questionnaire depression module (PHQ-9), and the psychometric properties of the PTSD Checklist (PCL-C). Structural equation modeling and bootstrap methods were utilized to analyze the relationships between variables. Results COVID-19 information overload is positively related to an individual's anxiety, depression, and posttraumatic stress disorder. Furthermore, COVID-19 information overload can indirectly affect an individual's PTSD symptoms by increasing the feeling of depression. R2 values of anxiety, depression, and PTSD were 0.471, 0.324, and 0.795, respectively. Conclusion COVID-19 information overload, anxiety, depression, and PTSD are negative psychological states, and each variable is closely linked with the others, suggesting the need for potential psychological interventions at specific times. Practical public training, such as crisis coping and information filtering, is essential. Regulation of technology companies is also essential.

Digital Innovation and Firm Environmental Performance: The Mediating Role of Supply Chain Management Capabilities.

Given the omnipresence and profoundness of the ongoing pandemic from the Coronavirus disease 2019, its potential spread can be minimized through social distancing. However, this practice causes increasing difficulties and undesirability of traditional transactions or interactions. Accordingly, various manufacturing firms around the world have become more committed not only to accelerating the development of digital technologies, but also to integrating them with existing processes. In this study, we address an important issue of how manufacturing firms can adapt to the ever-changing volatility and unpredictable global business environment, and achieve sustainable growth by developing a strong supply chain management capability. Two specific interrelated research questions are considered: (1) How do supply chain management capabilities contribute to firm environmental performance; and (2) What are the sources of such capabilities? In so doing, we integrate various forms of digital innovation into a supply chain management capability logic to explore their antecedents and consequences. By using survey data from 272 manufacturing firms in China, we examine the relationship between three key forms of digital innovation (i.e., product, platform, and service) and firm environmental performance. Results show that digital product, platform, and service innovations all have positive contributions to supply chain management capability. In turn, supply chain management capabilities have a partial mediating effect between digital product innovation and firm environmental performance, but a full mediating effect between digital platform and service innovations and firm environmental performance.

Willingness to Pay for Healthy Housing During the COVID-19 Pandemic in China: Evidence From Eye-Tracking Experiment.

Healthy housing can set its occupants completely in good physical, mental and social conditions, but there is a lack of research in China on the public's willingness to pay (WTP) for healthy housing. From the perspective of cognitive psychology, this study constructs an analytical framework based on the model of "theory of planned behavior" (TPB), the theory of selective information exposure, and the model of "emotions as social information," while exploring the effect mechanism of the online reviews on the public's WTP for healthy housing during COVID-19 pandemic. In combination with eye-tracking experiments and subjective reports, physiological, psychological and behavioral multimodal data on WTP of 65 participants for healthy housing are collected. Partial least squares structural equation modeling (PLS-SEM) is adopted to analyze the formation effect mechanism of the public's WTP for healthy housing. This study acquires the following results: (i) Information attentiveness to online reviews on different valence information of healthy housing as obtained in eye tracking experiments delivers significant effect on attitude, subjective norm (SN) and perceived behavioral control (PBC), but has no direct effect on the public's WTP for healthy housing; (ii) Hypotheses from TPB model are verified. attitude, PBC and SN can all make significant effect on WTP for healthy housing, with attitude showcasing the most prominent effect; and (iii) In terms of the mediating effect, information attentiveness can deliver significant indirect effect on WTP through attitude.

Building and Health: Mapping the Knowledge Development of Sick Building Syndrome

At present, with more and more attention paid to the impact of buildings on the health and well-being of occupants, sick building syndrome (SBS) has become a global concern. Since the introduction of SBS by the World Health Organization (WHO) in 1983, thousands of research literatures have been published in this field. This paper systematically arranges knowledge development of SBS through bibliometric analysis, exploring the most influential countries, institutions, journals and scholars, as well as the main subject categories and keywords. Main path analysis (MPA) was used to list development trajectory under inheritance relationship of SBS knowledge, including symptom analysis, risk factors of SBS and the improved impact of ventilation on SBS and productivity. Furthermore, it is an emerging research trend to propose SBS solution in the building design stage.

An Empirical Study on How Livestreaming Can Contribute to the Sustainability of Green Agri-Food Entrepreneurial Firms

During the COVID-19 pandemic, digital technology has been used in all aspects of the agricultural field. How to seize the opportunity to achieve the production-marketing connection is increasingly becoming a top concern for green agri-food enterprises. Based on the theory of a task–technology fit, this study analyzes the fitness between livestreaming e-commerce and green agri-food. More specifically, the task characteristics cover the seasonality, locality, and eco-friendliness of green agri-food, and the technology characteristics cover the responsiveness, interactivity, and entertainment of livestreaming e-commerce. Using data of a sample of 574 green agri-food entrepreneurial firms collected through a web-based questionnaire, we preform structural equation modeling (SEM) analysis and find that the locality and eco-friendliness of green agri-food, the responsiveness, interactivity, and entertainment of livestreaming e-commerce have a positive effect on the fit of green agri-food livestreaming e-commerce. Moreover, the fit of green agri-food livestreaming has a positive effect on firm performance and the intention to adopt livestreaming e-commerce. This study also demonstrates that perceived corporate social responsibility has a moderating effect on the relationship between the fit of livestreaming of green agri-food and the intention to adopt livestreaming e-commerce. This study extends prior research on the task–technology fit into livestreaming e-commerce companies and provides insights into our understanding of successful adoption of livestreaming e-commerce.

Performance evaluation of a domestic new coronavirus detection kit

Objective: To evaluate whether a domestic novel coronavirus (SARS-CoV-2) nucleic acid detection kit meets the requirements of clinical SARS-CoV-2 nucleic acid detection.

Perceived Beliefs, Uncertainty, and Behavioral Responses During the COVID-19 Outbreak in China: Findings From a Convenience Sample.

PURPOSE: To investigate perceived beliefs, uncertainty, and behavioral responses among Chinese residents toward the COVID-19 outbreak, and explore their relationships amid an incipient pandemic. DESIGN: A cross-sectional correlational survey with a combination of a convenience and snowball sampling design. SETTING: This study was conducted online from February 7 to 14, 2020, the third week after the lockdown of Wuhan city on January 23. PARTICIPANTS: A total of 2,654 residents was contacted, 2,534 agreed to participate, and 2,215 completed valid questionnaires. The sample covered 30 provinces, municipalities, autonomous regions of China, and a broader region. MEASURES: The Uncertainty About COVID-19 Scale was applied to assess perceived public uncertainty. Five dimensions of health beliefs about COVID-19 and 12 health-related response behaviors were measured. ANALYSIS: Univariate analysis and multiple linear regression models were used to identify associations. Mediation was assessed by a bootstrapping technique. RESULTS: Five constructs of health beliefs were found to be significant predictors of multiple response behaviors. Uncertainty about COVID-19 has a direct relationship with general response behaviors (ß=-0.119**) and sanitization practices (ß=-0.068**). Emergency coping behaviors aside, uncertainty also partially mediated associations between perceived susceptibility, perceived effectiveness, and perceived barriers influencing general response behaviors and sanitization practices, respectively. CONCLUSION: Findings provide evidence-based information to government and policymakers for designing effective health communication messages and intervention strategies by targeting the key constructs of the health belief model and reducing perceived uncertainty about COVID-19. They support public health-related response behaviors to prevent COVID-19 spread among the population.

Comparison of three automatic chemiluminescent immunoassays for monitoring dynamic profile of SARS-CoV-2 IgG and IgM.

BACKGROUND: Seldom performance evaluation and diagnosis comparison studies were reported for different chemiluminescent immunoassay (CLIA) kits approved under an emergency approval program for SARS-CoV-2 infection. METHODS: A total of 100 and 105 serum separately from non-infected populations and COVID-19 patients were detected with SARS-CoV-2 IgM and IgG kits. The characteristics including precision, functional sensitivity, linearity, and accuracy were evaluated for Axceed, iFlash, and Maglumi CLIA kits. RESULTS: Maglumi and iFlash had the best analytical sensitivity for IgM and IgG, respectively. Axceed kits had a linearity response in the detected concentration. The clinical sensitivity of Axceed, iFlash, and Maglumi was 68.0%, 64.9%, and 63.9% with a specificity of 99.0%, 96.0%, and 100% for IgM, 85.6%, 97.9%, and 94.8% with a specificity of 97.0% for IgG. ROC analysis indicated all kits had a diagnostic power greater than 0.9. Notably, either IgM or IgG kits obtained a poor agreement (Kappa value from 0.397 to 0.713) with others. Among 38 recovered patients, 94.7% had an effective immune response, and both seropositive IgM and IgG accounted for the biggest proportion (medium, 42 days onset), then followed by the single seropositive IgG (medium, 50 days onset) in Ab profile. CONCLUSION: The performance of CLIA kits satisfied the diagnosis of SARS-CoV-2 infection. Both positive of IgG and IgM contributes to improve the specificity, and a positive one will enhance the sensitivity.

Analytical performance evaluation of five RT-PCR kits for severe acute respiratory syndrome coronavirus 2.

BACKGROUND: We aimed to evaluate the analytical performance of five commercial RT-PCR kits (Genekey, Daan, BioGerm, Liferiver, and Yaneng) commonly used in China, since such comparison data are lacking. METHODS: A total of 20 COVID-19 confirmed patients and 30 negative nasopharyngeal swab specimens were analyzed by five kits. The detection ability of five RT-PCR kits was evaluated with 5 concentration gradients diluted by a single positive sample. The limit of detection was evaluated by N gene fragment solid standard. Two positive clinical specimens were used to evaluate the repeatability and imprecision. Finally, we used six human coronaviruses plasmid and four respiratory pathogens plasmid to check for cross-reactivity. RESULTS: The positive detection rate was 100% for Genekey, Daan, and BioGerm,and 90% for Liferiver and Yaneng in 20 clinical SARS-CoV-2 infection. The coincidence rate of five kits in 10 negative samples was 100%. The detection rate of target genes for Daan, BioGerm, Liferiver, and Yaneng was 100% from Level 1 to Level 3. In Level 4, only Daan detection rate was 100%. In Level 5, five kits presented poor positive rate. The limit of detection declared by each manufacturer was verified. The repeatability for target genes was less than 5% and so did the total imprecision. There is no cross-reactivity of five kits with six human coronaviruses and four respiratory pathogens for ORF1ab and N gene. CONCLUSIONS: Five RT-PCR kits assessed in this study showed acceptable analytical performance characteristics and are useful tools for the routine diagnosis of SARS-CoV-2.

Efficacy and safety of acupuncture therapy for COVID-19: A protocol for systematic review and meta-analysis.

BACKGROUND: The study aims to evaluate the effectiveness and safety of acupuncture therapy for coronavirus disease 2019. METHODS: The following electronic databases will be searched from December 2019 to December 2020: Medline, PubMed, EMBASE, Web of Science, China National Knowledge Infrastructure, Wan-fang database, Chinese Scientific Journal Database, Chinese Biomedical Literature Databases, and other databases. All published randomized controlled trials about this topic will be included. Two independent researchers will operate article retrieval, duplication removing, screening, quality evaluation, and data analyses by Review Manager (V.5.3.5). Meta-analyses, subgroup analysis, and/or descriptive analysis will be performed based on the included data conditions. RESULTS: High-quality synthesis and/or descriptive analysis of current evidence will be provided from mortality rate, cure rate, the time of negative nucleic acid detection for 2 consecutive times (not on the same day), improvement of chest CT scans, disappearance time of fever and cough, and side effects. CONCLUSION: This study will provide the evidence of whether acupuncture is an effective and safe intervention for coronavirus disease 2019 .PROSPERO registration number: CRD42020179298.