ESG performance and loan contracting in an emerging market

In this paper, we find that better environmental, social and governmental (ESG) performance is associated with a greater magnitude of bank loans and a lower ratio of guaranteed loans in China. The relation is mainly driven by social and governmental factors while the environmental factor plays an insignificant role. Our main findings are robust to a battery of sensitivity tests, including alternative measures of ESG performance and bank-loan contracting, as well as different approaches to address potential endogeneity. Additional analysis indicates that reduced risk and increased information environment might be channels by which ESG performance affects bank-loan contracting while state ownership and the COVID-19 outbreak moderate that impact. Overall, this paper reveals that in emerging markets, the sub-dimensional ESG factors have heterogeneous impacts on loan contracting that are quite different from those found in developed markets.

How can age-based vaccine allocation strategies be optimized? A multi-objective optimization framework.

Human life is deeply influenced by infectious diseases. A vaccine, when available, is one of the most effective ways of controlling the spread of an epidemic. However, vaccine shortage and uncertain vaccine effectiveness in the early stage of vaccine production make vaccine allocation a critical issue. To tackle this issue, we propose a multi-objective framework to optimize the vaccine allocation strategy among different age groups during an epidemic under vaccine shortage in this study. Minimizing total disease onsets and total severe cases are the two objectives of this vaccine allocation optimization problem, and the multistage feature of vaccine allocation are considered in the framework. An improved Strength Pareto Evolutionary Algorithm (SPEA2) is used to solve the optimization problem. To evaluate the two objectives under different strategies, a deterministic age-stratified extended SEIR model is developed. In the proposed framework, different combinations of vaccine effectiveness and vaccine production capacity are investigated, and it is identified that for COVID-19 the optimal strategy is highly related to vaccine-related parameters. When the vaccine effectiveness is low, allocating most of vaccines to 0-19 age group or 65+ age group is a better choice under a low production capacity, while allocating most of vaccines to 20-49 age group or 50-64 age group is a better choice under a relatively high production capacity. When the vaccine effectiveness is high, a better strategy is to allocate vaccines to 65+ age group under a low production capacity, while to allocate vaccines to 20-49 age group under a relatively high production capacity.

Dual-Reporter System for Real-Time Monitoring of SARS-CoV-2 Main Protease Activity in Live Cells Enables Identification of an Allosteric Inhibition Path.

The SARS-CoV-2 pandemic is an ongoing threat to global health, and the continuing emergence of contagious variants highlights the urgent need for additional antiviral therapy to attenuate COVID-19 disease. The SARS-CoV-2 main protease (3CLpro) presents an attractive target for such therapy due to its high sequence conservation and key role in the viral life cycle. In this study, we designed a fluorescent-luminescent cell-based reporter for the detection and quantification of 3CLpro intracellular activity. Employing this platform, we examined the efficiency of known protease inhibitors against 3CLpro and further identified potent inhibitors through high-throughput chemical screening. Computational analysis confirmed a direct interaction of the lead compounds with the protease catalytic site and identified a prototype for efficient allosteric inhibition. These developments address a pressing need for a convenient sensor and specific targets for both virus detection and rapid discovery of potential inhibitors.

It is time to improve the acceptance of COVID-19 vaccines among people with chronic diseases: A systematic review and meta-analysis.

This study aims to investigated COVID-19 vaccine acceptance among people with chronic diseases and the factors correlating with their vaccination hesitancy. The articles were searched in PubMed, Ovid, EMBASE, and web of science databases between December 2019 and October 2022. Cross-sectional studies, including the acceptance of the COVID-19 vaccine by patients with chronic diseases (≥18 years old), were included in this study. The outcomes included the proportion and 95% confidence interval (95% CI) of chronic disease patients willing to be vaccinated and the odds ratio (OR) and 95% CI of correlating factors. The source of heterogeneity was analyzed through meta-regression and subgroup analysis. We included 31 studies involving 57 875 patients with chronic disease. The overall COVID-19 vaccine acceptance among patients with chronic disease was 0.65 (95% CI, 0.59-0.72). The acceptance among the elderly patients was 0.53 (95% CI, 0.26-0.80). South America had the highest COVID-19 vaccine acceptance rate and Asia the lowest, while on a country level, the United Kingdom had the highest acceptance rate among patients with chronic diseases. People with rheumatic immune diseases had the lowest rate of COVID-19 vaccine acceptance. Concerns about vaccine safety had a statistically different effect on acceptance. Overall, the health systems ought to focus on educating specific groups of individuals on the benefits of COVID-19 vaccination and addressing safety concerns.

Ultrasensitive NO Sensor Based on a Nickel Single-Atom Electrocatalyst for Preliminary Screening of COVID-19.

A new coronavirus, SARS-CoV-2, has caused the coronavirus disease-2019 (COVID-19) epidemic. A rapid and economical method for preliminary screening of COVID-19 may help to control the COVID-19 pandemic. Here, we report a nickel single-atom electrocatalyst that can be printed on a paper-printing sensor for preliminary screening of COVID-19 suspects by efficient detection of fractional exhaled nitric oxide (FeNO). The FeNO value is confirmed to be related to COVID-19 in our exploratory clinical study, and a machine learning model that can accurately classify healthy subjects and COVID-19 patients is established based on FeNO and other features. The nickel single-atom electrocatalyst consists of a single nickel atom with N2O2 coordination embedded in porous acetylene black (named Ni-N2O2/AB). A paper-printed sensor was fabricated with the material and showed ultrasensitive response to NO in the range of 0.3-180 ppb. This ultrasensitive sensor could be applied to preliminary screening of COVID-19 in everyday life.

Emotional exhaustion and unhealthy eating among COVID-19 front-line healthcare workers during recuperation: A cross-sectional study.

Objective: Thousands of healthcare workers on the frontlines who have been battling the COVID-19 pandemic could face emotional and mental health risks even after their critical pandemic work. This study examined the impact of affective rumination on emotional exhaustion and the spillover effect of affective rumination on unhealthy food consumption among healthcare workers during recuperation. Methods: A total of 418 frontline healthcare workers from 10 Chinese medical institutions were recruited through random cluster sampling. A linear mixed model in SPSS25.0 was performed for hierarchical regression to analyze the effect of affective rumination on unhealthy food consumption via emotional exhaustion. A conditional process analysis was employed to investigate the moderating role of family support in the mediating effect of emotional exhaustion. Results: Front-line healthcare workers scored at a medium level on an emotional exhaustion scale (2.45 ± 0.88). Affective rumination mediated by emotional exhaustion had a significant positive predictive effect on unhealthy food consumption. The indirect effect accounted for ~43.9% of the total effect. Family support amplified the effect of emotional exhaustion on unhealthy food consumption (ß = 0.092, p < 0.05). Conclusion: Affective rumination could be a cause of emotional exhaustion and unhealthy food consumption. First-line healthcare workers could be screened for possible emotional exhaustion through the evaluation of affective rumination in order to provide them with targeted interventions. Family support did not prove to be beneficial in all cases as it enhanced the positive effect of emotional exhaustion on unhealthy eating in the current study. Therefore, family support should be carefully integrated in future interventions.

Reflections on China's primary care response to COVID-19: roles, limitations and implications.

This study focuses on the role of primary care in China's response to COVID-19. A retrospective, reflective approach was taken using data available to one of the authors who led the national community response to COVID-19, first in Wuhan and then multiple cities in ten provinces/municipalities across the country. At the peak of the pandemic, primary care providers shoulder various public health responsibilities and work in close partnerships with other key stakeholders in the local communities. Primary care providers keep playing a 'sentinel'/surveillance role in identifying re-emerging cases after the elimination of community transmissions of COVID-19. Critically, however, the pandemic once again highlights some key limitations of the primary care sector, including the lack of gatekeeping, limited capacity and weak integration between medical care and public health.

The effect of hindrance stressors on the emotional exhaustion among front-line healthcare workers in the recuperation period during the COVID-19 epidemic in China: a prospective cross-sectional study.

OBJECTIVES: This study aimed to examine the influence and conditioning process of hindrance stressors on the emotional exhaustion of the front-line healthcare workers during recuperation, examine the potential mediating process of rumination, and explore the moderating role of organisational and family factors. SETTING: This cross-sectional study was conducted during 12-20 July 2020. Total 418 questionnaires were collected from front-line healthcare workers by random cluster sampling. Hierarchical regression was performed to analyse the mediating effect of affective rumination using SPSS25.0, while PROCESS was used to further investigate the moderating role of servant leadership and family support. PARTICIPANTS: 418 healthcare workers were investigated randomly from front-line medical teams. Inclusion criteria included worked as front-line health workers and participated in the fight against COVID-19 in Hubei; age ≥18 years; normal cognitive and comprehension abilities under physical and mental health; volunteer to participate in this study. Exclusion criteria included recently affected by major events other than COVID-19 or those with a history of neurasthenia and trauma. RESULTS: Using descriptive analysis of average value and SD measured by a five-item scale (MBI-GS), we found that front-line healthcare workers' emotional exhaustion score (2.45±0.88) was at the medium level. Hindrance stressors, mediated by affective rumination, had a significant positive predictive effect on emotional exhaustion. Servant leadership negatively moderated the direct effect of hindrance stressors on emotional exhaustion (ß=-0.106, p<0.01). Family support positively moderated the impact of hindrance stressors on emotional exhaustion (ß=0.082, p<0.05). CONCLUSIONS: During the recuperation period, after successfully controlling COVID-19 at the front line, the first-line healthcare workers should be screened through affective rumination evaluation to gain insight for targeted interventions. We find that servant leadership is beneficial in alleviating emotional exhaustion while family support worsens emotional exhaustion. We suggest that servant leadership should be further promoted in medical organisations, and family support should be applied correctly and cautiously.

Signaling repurposable drug combinations against COVID-19 by developing the heterogeneous deep herb-graph method.

BACKGROUND: Coronavirus disease 2019 (COVID-19) has spurred a boom in uncovering repurposable existing drugs. Drug repurposing is a strategy for identifying new uses for approved or investigational drugs that are outside the scope of the original medical indication. MOTIVATION: Current works of drug repurposing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are mostly limited to only focusing on chemical medicines, analysis of single drug targeting single SARS-CoV-2 protein, one-size-fits-all strategy using the same treatment (same drug) for different infected stages of SARS-CoV-2. To dilute these issues, we initially set the research focusing on herbal medicines. We then proposed a heterogeneous graph embedding method to signaled candidate repurposing herbs for each SARS-CoV-2 protein, and employed the variational graph convolutional network approach to recommend the precision herb combinations as the potential candidate treatments against the specific infected stage. METHOD: We initially employed the virtual screening method to construct the 'Herb-Compound' and 'Compound-Protein' docking graph based on 480 herbal medicines, 12,735 associated chemical compounds and 24 SARS-CoV-2 proteins. Sequentially, the 'Herb-Compound-Protein' heterogeneous network was constructed by means of the metapath-based embedding approach. We then proposed the heterogeneous-information-network-based graph embedding method to generate the candidate ranking lists of herbs that target structural, nonstructural and accessory SARS-CoV-2 proteins, individually. To obtain precision synthetic effective treatments forvarious COVID-19 infected stages, we employed the variational graph convolutional network method to generate candidate herb combinations as the recommended therapeutic therapies. RESULTS: There were 24 ranking lists, each containing top-10 herbs, targeting 24 SARS-CoV-2 proteins correspondingly, and 20 herb combinations were generated as the candidate-specific treatment to target the four infected stages. The code and supplementary materials are freely available at https://github.com/fanyang-AI/TCM-COVID19.

Targeting stem-loop 1 of the SARS-CoV-2 5' UTR to suppress viral translation and Nsp1 evasion.

SARS-CoV-2 is a highly pathogenic virus that evades antiviral immunity by interfering with host protein synthesis, mRNA stability, and protein trafficking. The SARS-CoV-2 nonstructural protein 1 (Nsp1) uses its C-terminal domain to block the messenger RNA (mRNA) entry channel of the 40S ribosome to inhibit host protein synthesis. However, how SARS-CoV-2 circumvents Nsp1-mediated suppression for viral protein synthesis and if the mechanism can be targeted therapeutically remain unclear. Here, we show that N- and C-terminal domains of Nsp1 coordinate to drive a tuned ratio of viral to host translation, likely to maintain a certain level of host fitness while maximizing replication. We reveal that the stem-loop 1 (SL1) region of the SARS-CoV-2 5' untranslated region (5' UTR) is necessary and sufficient to evade Nsp1-mediated translational suppression. Targeting SL1 with locked nucleic acid antisense oligonucleotides inhibits viral translation and makes SARS-CoV-2 5' UTR vulnerable to Nsp1 suppression, hindering viral replication in vitro at a nanomolar concentration, as well as providing protection against SARS-CoV-2-induced lethality in transgenic mice expressing human ACE2. Thus, SL1 allows Nsp1 to switch infected cells from host to SARS-CoV-2 translation, presenting a therapeutic target against COVID-19 that is conserved among immune-evasive variants. This unique strategy of unleashing a virus' own virulence mechanism against itself could force a critical trade-off between drug resistance and pathogenicity.

Pneumonia scoring systems for severe COVID-19: which one is better.

PURPOSE: To investigate the predictive significance of different pneumonia scoring systems in clinical severity and mortality risk of patients with severe novel coronavirus pneumonia. MATERIALS AND METHODS: A total of 53 cases of severe novel coronavirus pneumonia were confirmed. The APACHE II, MuLBSTA and CURB-65 scores of different treatment methods were calculated, and the predictive power of each score on clinical respiratory support treatment and mortality risk was compared. RESULTS: The APACHE II score showed the largest area under ROC curve in both noninvasive and invasive respiratory support treatment assessments, which is significantly different from that of CURB-65. Further, the MuLBSTA score had the largest area under ROC curve in terms of death risk assessment, which is also significantly different from that of CURB-65; however, no difference was noted with the APACHE II score. CONCLUSION: For patients with COVID, the APACHE II score is an effective predictor of the disease severity and mortality risk. Further, the MuLBSTA score is a good predictor only in terms of mortality risk.

A Lightweight Internet Sharing Scheme for Sectional Medical Images according to Existing Hospital Network Facilities and Basic Information Security Rules.

Background: With the outbreak of COVID-19, large-scale telemedicine applications can play an important role in the epidemic areas or less developed areas. However, the transmission of hundreds of megabytes of Sectional Medical Images (SMIs) from hospital's Intranet to the Internet has the problems of efficiency, cost, and security. This article proposes a novel lightweight sharing scheme for permitting Internet users to quickly and safely access the SMIs from a hospital using an Internet computer anywhere but without relying on a virtual private network or another complex deployment. Methods: A four-level endpoint network penetration scheme based on the existing hospital network facilities and information security rules was proposed to realize the secure and lightweight sharing of SMIs over the Internet. A "Master-Slave" interaction to the interactive characteristics of multiplanar reconstruction and maximum/minimum/average intensity projection was designed to enhance the user experience. Finally, a prototype system was established. Results: When accessing SMIs with a data size ranging from 251.6 to 307.04 MB with 200 kBps client bandwidth (extreme test), the network response time to each interactive request remained at approximately 1 s, the original SMIs were kept in the hospital, and the deployment did not require a complex process; the imaging quality and interactive experience were recognized by radiologists. Conclusions: This solution could serve Internet medicine at a low cost and may promote the diversified development of mobile medical technology. Under the current COVID-19 epidemic situation, we expect that it could play a low-cost and high-efficiency role in remote emergency support.

Drivers for the poor air quality conditions in North China Plain during the COVID-19 outbreak.

China's lockdown to control COVID-19 brought significant declines in air pollutant emissions, but haze was still a serious problem in North China Plain (NCP) during late-January to mid-February of 2020. We seek the potential causes for the poor air quality in NCP combining satellite data, ground measurements and model analyses. Efforts to constrain COVID-19 result in a drop-off of primary gaseous pollutants, e.g., -42.4% for surface nitrogen dioxide (NO2) and -38.9% for tropospheric NO2 column, but fine particulate matter (PM25) still remains high and ozone (O3) even increases sharply (+84.1%). Stagnant weather during COVID-19 outbreak, e.g., persistent low wind speed, frequent temperature inversion and wind convergence, is one of the major drivers for the poor air quality in NCP. The surface PM2.5 levels vary between -12.9~+15.1% in NCP driven by the varying climate conditions between the years 2000 and 2020. Besides, the persistent PM2.5 pollution might be maintained by the still intensive industrial and residential emissions (primary PM2.5), and increased atmospheric oxidants (+26.1% for ozone and +29.4% for hydroxyl radical) in response to the NO2 decline (secondary PM2.5). Further understanding the nonlinear response between atmospheric secondary aerosols and NOx emissions is meaningful to cope with the emerging air pollution problems in China.

Preventive Measures for COVID-19 in Dental Treatments.

OBJECTIVE: The 2019 coronavirus disease (COVID-19) has spread to most countries around the world, infecting millions of people and resulting in the pandemic. This presents great challenges for dental professionals. It is necessary to explore preventive measures for COVID-19 in dental treatments. METHODS: In this paper, we outline several measures designed to prevent COVID-19 in dental treatments, such as 3-level pre-examination triage and 2-body temperature tests, 3-level protection for medical personnel, gargling before oral treatment, implementing the 4-hand operation, suctioning saliva during oral treatment, using a rubber dam, and strict enforcement of hand hygiene. These measures include recommendations for medical staff and give practical advice for managing treatment. RESULTS: The epidemic has been brought under control, and routine oral examination and treatments have gradually been resumed from March 9, 2020, in Hunan Province, China. From January 24 to March 8, 2020, a total of 4272 patients received oral therapy during the COVID-19 epidemic in our hospital. We followed these guidelines during the COVID-19 epidemic, and none of the clinical dental staff, other workers, or patients were infected with COVID-19. CONCLUSIONS: These preventive measures for COVID-19 in dental treatments can be used as a reference for oral clinics and stomatological hospitals.

SARS-CoV-2 Nsp1 suppresses host but not viral translation through a bipartite mechanism.

The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is a highly contagious virus that underlies the current COVID-19 pandemic. SARS-CoV-2 is thought to disable various features of host immunity and cellular defense. The SARS-CoV-2 nonstructural protein 1 (Nsp1) is known to inhibit host protein translation and could be a target for antiviral therapy against COVID-19. However, how SARS-CoV-2 circumvents this translational blockage for the production of its own proteins is an open question. Here, we report a bipartite mechanism of SARS-CoV-2 Nsp1 which operates by: (1) hijacking the host ribosome via direct interaction of its C-terminal domain (CT) with the 40S ribosomal subunit and (2) specifically lifting this inhibition for SARS-CoV-2 via a direct interaction of its N-terminal domain (NT) with the 5' untranslated region (5' UTR) of SARS-CoV-2 mRNA. We show that while Nsp1-CT is sufficient for binding to 40S and inhibition of host protein translation, the 5' UTR of SARS-CoV-2 mRNA removes this inhibition by binding to Nsp1-NT, suggesting that the Nsp1-NT-UTR interaction is incompatible with the Nsp1-CT-40S interaction. Indeed, lengthening the linker between Nsp1-NT and Nsp1-CT of Nsp1 progressively reduced the ability of SARS-CoV-2 5' UTR to escape the translational inhibition, supporting that the incompatibility is likely steric in nature. The short SL1 region of the 5' UTR is required for viral mRNA translation in the presence of Nsp1. Thus, our data provide a comprehensive view on how Nsp1 switches infected cells from host mRNA translation to SARS-CoV-2 mRNA translation, and that Nsp1 and 5' UTR may be targeted for anti-COVID-19 therapeutics.

Preliminary Exploration of the Cause of Liver Disorders During Early Stages in COVID-19 Patients.

Background: Abnormal liver function is a common indication of coronavirus disease 2019 (COVID-19) patients. Two proposed mechanisms are liver injury mediated by angiotensin-converting enzyme 2 (ACE2) and the involvement of the systemic immune response. We investigated the role played by these to determine the cause of liver abnormality in the early stages of COVID-19. Methods: A cross-sectional study was conducted among confirmed cases of COVID-19 at Beijing Youan Hospital from January 21, 2020, to February 24, 2020. We compared clinical characteristics, viremia status, and cytokine profile on admission between patients with and without liver disorder. Results: Of the 44 COVID-19 patients analyzed, there were no differences in the clinical symptoms and signs, disease severity, or computed tomography (CT) image features between the two groups. Lymphopenia was more common in the liver disorder group. Further, C-reactive protein levels were much higher in the hepatic disorder group, with significantly higher concentrations of IL-6, IL-10, and M-CSF. Viremia was detected in only 7% of patients. Conclusions: Due to the infrequency of viremia, ACE2-mediated viral hepatitis does not seem to account for the commonly observed liver disorders in COVID-19 patients. By contrast, a dysregulated immune response may be a crucial pathogenic factor for liver disorder in the early stages of COVID-19.

Pulmonary contusion mimicking COVID-19: A case report.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is a major public health emergency with obvious characteristics of human-to-human transmission, and there are infective asymptomatic carriers. Early identification and proper management of patients with COVID-19 are important. Features in chest computed tomography (CT) can facilitate identifying newly infected individuals. However, CT findings of some lung contusions are similar to those of COVID-19, as shown in the present case. CASE SUMMARY: A 46-year-old woman was admitted to hospital for backache and foot pain caused by a fall injury 1 d before hospitalization. She was suspected of having COVID-19, since there was a confirmed COVID-19 case near her residence. But she had no fever, cough, chest tightness, difficult breathing, nausea, vomiting, or diarrhea, etc. On physical examination, the lower posterior chest of both sides showed dullness on percussion and moist rales at the end of inspiration on auscultation. The white blood cell count and lymphocyte count were 10.88 × 109/L and 1.04 × 109/L, respectively. CT performed on February 7, 2020 revealed that both lungs were scattered with patchy ground-glass opacity. The patient was diagnosed with pulmonary contusion with thoracic spinal fracture (T12), calcaneal fracture, and pelvic fracture. On day 9 after conservative treatment, her condition was alleviated. On review of the chest CT, the previous shadows were significantly reduced. CONCLUSION: Differential diagnosis of lung contusion and COVID-19 must be emphasized. Both conditions require effective prompt actions, especially COVID-19.