The window of opportunity brought by the COVID-19 pandemic: an ill wind blows for digitalisation leapfrogging

We analyse how the COVID-19 pandemic crisis created the window of opportunity (WOP) in the digital industry and digital applications. These led to the leapfrogging of digital transformation in China. This was considered a major contribution to the pandemic recovery in early to mid-2020. By exploring this phenomenon, we examine alternatives for sustainable development during such turbulent circumstances mediating the destruction arisen from the crisis. We unveil the mechanisms that reveal the large-scale digitalisation that emerged as part of the response to managing the crisis. We find that during this crisis in China, the WOPs from policy, technology and demand perspectives facilitated the leapfrogging of the digital transformation in numerous social and economic areas. More importantly, we also discover that the WOPs are unevenly distributed among firms, time, and locations. Based on these results, we put forth that the COVID-19 pandemic brings a relative window of opportunity (RWOP) to society, impacting industries and firms. However, these impacts are disproportionately distributed. To the best of our knowledge, this is one of the first studies to illustrate how a social crisis leads to WOPs enhancing digital transformation. Furthermore, this also ultimately provided a coping mechanism to deal with the pandemic.

Impact of the COVID-19 on electricity consumption of open university campus buildings - The case of Twente University in the Netherlands.

Since the COVID-19 outbreak, the restrictive policies enacted by countries in response to the epidemic have led to changes in the movement of people in public places, which has had a direct impact on the use and energy consumption of various public buildings. This study was based on electricity consumption data for 25 on-campus public buildings at 1-hour intervals between January 2020 and June 2022 at Tewnte University in the Netherlands, and after the data were climate-corrected by multiple regression analysis, the changes in EU and EUI for various types of buildings were compared for different restriction periods using ANOVA, LSD and t-tests. And additionally, further analyzed the changes and reasons for the electricity consumption of various public buildings on campus and customers' electricity consumption behavior in a period of time after the lifting of the epidemic restriction policy. The results of ANOVA analysis show that the restriction policy has a significant effect on teaching, sports, and cultural buildings, and the electricity intensity of the three types of buildings is reduced by 0.28, 0.09, and 0.07 kwh/m2/day respectively under the strict restriction policy; The t-test results show that during the restriction period, all building types, except for living and academic buildings, show a significant decreasing trend, with the teaching buildings having the greatest energy saving potential, with an average daily EU reduction of 1088kwh/day and an EUI reduction of 0.075kwh/ m2/day. The above findings provide a case study of a complete cycle of energy consumption changes in university buildings under similar epidemic restriction policies before and after the epidemic restriction, and inform the electricity allocation policies of university and government energy management authorities.

Nab-paclitaxel plus S-1 versus oxaliplatin plus S-1 as first-line treatment in advanced gastric cancer: results of a multicenter, randomized, phase III trial (GAPSO study).

Background: This study aimed to investigate the superiority of nab-paclitaxel plus S-1 (AS) over oxaliplatin plus S-1 (SOX) in patients with advanced gastric cancer (AGC). Methods: In this multicenter, randomized, phase III superiority trial, eligible patients with unresectable, locally advanced gastric adenocarcinoma were recruited and randomly assigned (1:1) to receive AS (nab-paclitaxel 260 mg/m2 on day 1 or 130 mg/m2 on days 1 and 8; oral S-1 40-60 mg twice daily for 14 days) or SOX (130 mg/m2 oxaliplatin on day 1; oral S-1 40-60 mg twice daily for 14 days) every 3 weeks for up to six cycles. The primary endpoint was progression-free survival (PFS), and the secondary endpoints were overall survival, objective response rate, and safety. Results: Owing to slow enrolment, an unplanned interim analysis was performed, resulting in the early termination of the study on 31 December 2021 (data cutoff). Between March 2019 and March 2021, 97 patients (AS, n = 48; SOX, n = 49) were treated and evaluated for efficacy and safety of AS and SOX. As of the data cutoff, the median follow-up was 23.13 months [95% confidence interval (CI), 13.39-32.87]. The median PFS was 9.03 months (95% CI, 6.50-11.56) in the AS group and 5.07 months (95% CI, 4.33-5.81) in the SOX group, demonstrating a better PFS tendency following AS treatment than SOX treatment (hazard ratio = 0.59; 95% CI, 0.37-0.94; p = 0.03). The most common grade 3 or worse adverse events were anemia, neutropenia, and leukopenia in both groups, with a higher incidence of thrombocytopenia in the SOX group. Conclusion: Although this study was terminated early, the results demonstrated a better PFS tendency in patients with AGC who were treated with AS than in those treated with SOX, with controllable toxicities. Trial registration: Clinical Trials.gov identifiers: NCT03801668. Registered January 11, 2019.

The psychological impact of COVID-19 outbreak on medical staff and the general public.

To assess the psychological effects of the novel coronavirus disease (COVID-19) on medical staff and the general public. During the outbreak of COVID-19, an internet-based questionnaire included The Self-rating Depression Scale (SDS), Perceived Stress Scale (PSS-10), and Impact of Event Scale-Revised (IES-R) was used to assess the impact of the pandemic situation on the mental health of medical staff and general population in Wuhan and its surrounding areas. Among the 1493 questionnaires completed, 827 (55.39%) of these were men, and 422 (28.27%) of these were medical personnel. The results suggest that the outbreak of COVID-19 has affected individuals significantly, the degree of which is related to age, sex, occupation and mental illness. There was a significant difference in PSS-10 and IES-R scores between the medical staff and the general population. The medical staff showed higher PSS-10 scores (16.813 ± 4.87) and IES-R scores (22.40 ± 12.12) compared to members of the general population PSS-10 (14.80 ± 5.60) and IES-R scores (17.89 ± 13.08). However, there was no statistically significant difference between the SDS scores of medical staff (44.52 ± 12.36) and the general public (43.08 ± 11.42). In terms of the need for psychological assistance, 50.97% of interviewees responded that they needed psychological counseling, of which medical staff accounted for 65.87% and non-medical staff accounted for 45.10%. During the ongoing COVID-19 outbreak, great attention should be paid to the mental health of the population, especially medical staff, and measures such as psychological intervention should be actively carried out for reducing the psychosocial effects.

Quality Assessment of Fruits and Vegetables Based on Spatially Resolved Spectroscopy: A Review

Damage occurs easily and is difficult to find inside fruits and vegetables during transportation or storage, which not only brings losses to fruit and vegetable distributors, but also reduces the satisfaction of consumers. Spatially resolved spectroscopy (SRS) is able to detect the quality attributes of fruits and vegetables at different depths, which is of great significance to the quality classification and defect detection of horticultural products. This paper is aimed at reviewing the applications of spatially resolved spectroscopy for measuring the quality attributes of fruits and vegetables in detail. The principle of light transfer in biological tissues, diffusion approximation theory and methodologies are introduced, and different configuration designs for spatially resolved spectroscopy are compared and analyzed. Besides, spatially resolved spectroscopy applications based on two aspects for assessing the quality of fruits and vegetables are summarized. Finally, the problems encountered in previous studies are discussed, and future development trends are presented. It can be concluded that spatially resolved spectroscopy demonstrates great application potential in the field of fruit and vegetable quality attribute evaluation. However, due to the limitation of equipment configurations and data processing speed, the application of spatially resolved spectroscopy in real-time online detection is still a challenge.

Could more innovation output bring better financial performance? The role of financial constraints

Innovation scholars highlight the economic benefits to firms, while research findings on the relationship between innovation output and economic returns remain mixed. In this study, we develop the profiting from innovation (PFI) framework and address the crucial role of financial constraints in the relationship between innovation output and financial performance. We argue that the liability of newness differentiates firms’ financial performance during the commercialization of innovation, leading to a U-shaped relationship between firms’ innovation output and financial performance. We further document the moderating impact of individual financial constraints (IFC) and market-based financial constraints (MFC) on this curvilinear relationship. Empirical tests based on the 142,972 firm-year observations of the multi-source dataset of Chinese manufacturing firms from 1999–2009 support our hypotheses. The additional analysis shows that non-state-owned enterprises and small and medium enterprises benefit more from the synergistic effect of reductions of IFC and MFC than state-owned enterprises and large firms. Our study enriches the literature of the PFI framework by uncovering the mechanism between innovation output and economic returns where financial constraints play an essential role. To the best of our knowledge, we are among the first to investigate the processes and mechanisms between innovation output and financial performance, generating novel insights for business practitioners and policymakers.

Ubiquitous Smartphone-Based Respiration Sensing With Wi-Fi Signal

Respiration rate is an essential vital indicator for health monitoring. While traditional sensor-based methods support acceptable sensing performance, the recent advance in wireless sensing could enable sensor-free and contact-free respiration sensing, which is particularly important during the practice of social distancing against a pandemic like COVID-19. Among a variety of wireless technologies employed for respiration sensing, Wi-Fi-based solutions are most popular due to the pervasive development of infrastructure. However, the existing Wi-Fi-based approaches need to retrieve Wi-Fi readings from access points, which are not often accessible for the end users. In this article, we propose a novel system, MoBreath, in which we utilize the Wi-Fi channel state information (CSI) readings extracted from the end-user device, a smartphone, to monitor the respiration rate for the first time. We introduce and address unique technical challenges, such as selecting the optimum CSI subcarriers from many noisy candidates and providing smartphone placement strategies for both single and multiple human target scenarios based on the Fresnel zone model to support highly accurate respiration sensing. Our evaluation of MoBreath using commodity smartphones in different environments shows that it can accurately estimate the respiration rate at a low error rate of 0.34 breaths per minute and support the sensing range of up to 3–4 m. Even for challenging scenarios such as the target is covered by a quilt and multiple targets are in the sensing area, MoBreath can still support highly accurate results.

Depression and Coping Styles of College Students in China During COVID-19 Pandemic: A Systemic Review and Meta-Analysis.

Background: The rapid spread and uncertain outcome of the 2019 novel coronavirus disease (COVID-19) around the world have caused worry, fear, and stress among the general population. Nevertheless, the prevalence of depression among college students in China during lockdown, following the COVID-19 pandemic, and their coping strategies have not been quantitatively assessed. Objective: We aimed to evaluate the prevalence of depression among college students in China during the lockdown due to the COVID-19 pandemic and assess their coping strategies. Methods: Systematic review and meta-analysis were conducted to assess the prevalence of depression among college students in China and their coping strategies. Results: The results indicated that, during lockdown in the COVID-19 pandemic, the prevalence rates of college students in China suffering from mild, moderate, and severe depression were 25% (95% CI = 17-33%), 7% (95% CI = 2-14%), and 2% (95% CI = 1-5%), respectively. Besides, the proportion of college students who use WeChat and Weibo to acquire COVID-19 knowledge was 39% (95% CI = 13-68%), whereas the proportion of college students using mental health application services (APPs) to deal with depression was 59% (95% CI = 41-73%). Conclusions: The prevalence of depression among college students in China was high during the lockdown in the COVID-19 pandemic. Thus, considering the adverse outcomes of depression, it is imperative to screen college students in China for depression during the CIVID-19 pandemic and provide them with necessary psychological interventions to control and prevent depression. Social media platforms, such as WeChat and Weibo, and mental health APPs could provide an opportunity for psychological health information dissemination for college students. However, their effectiveness in reducing depression will have to be assessed.

Aggravation effect of regional transport on wintertime PM2.5 over the middle reaches of the Yangtze River under China's air pollutant emission reduction process

The contributions of emission reduction and meteorological changes to air quality improvement in Hubei Province (HB) have required assessment in recent years. In this study, the WRF-Chem scenario tests were conducted to evaluate the effect of both the emission and meteorological changes on the winter PM2.5 from 2015 to 2019, especially that of regional transport and local emissions on the PM2.5 variations in HB. The results showed that meteorological changes in January 2019 increased the PM2.5 by 24% relative to January 2015, whereas emissions reduced it by 36%, indicating that emission reduction was vital in improving the air quality in HB. However, the meteorological changes increased the concentration of air pollutants by 10–25% relative to January 2018. This led to a rebound of the observed pollutant concentrations in January 2019, highlighting the importance of meteorological conditions on air pollution. Regional transport of air pollutants contributed to the inter-annual increase of wintertime PM2.5 by 78%, driven purely by meteorology from 2015 to 2019. This indicated that regional PM2.5 transport could aggravate PM2.5 levels in winter over HB with the reduction of air pollutant emissions in China. Additionally, the regional transport of air pollutants contributed to the decrease in PM2.5 in HB by 42%, resulting from the non-local emission reduction during COVID-19 lockdown in winter. This indicates the importance of the regional transport of air pollutants in driving regional changes in the atmospheric environment over China.

Clinical course and management of 73 hospitalized moderate patients with COVID-19 outside Wuhan.

Moderate cases account for the majority in hospitalized patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and can also progress to severe/critical condition. Here, we investigated the clinical course and management of hospitalized moderate SARS-CoV-2 patients. The medical records and follow-up data were analyzed from the SARS-CoV-2 patients outside Wuhan. A total of 73 moderate patients (38 men, 35 women) were included, with median age of 47.0 (38.5-57.5) years. Among them, only one patient (1.4%) died using active treatment to improve symptoms. The median duration of the four main symptoms cough, fever, chest tightness, and fatigue were 11.0, 8.0, 11.0, and 7.0 days, respectively; the median duration of the positive nucleic acid test (NAT) results for SARS-CoV-2 was 16.5 days; the median hospitalization time was 25.0 days in 72 moderate survivors. The duration of cough and fever was positively correlated with the duration of the positive NAT results. On admission, 50% had lymphopenia; less than 30% had abnormal blood biochemistry findings involving hyperglycemia, liver function and myocardial enzymes. At discharge, the laboratory indexes were substantially improved. Two weeks after discharge, 5.6% survivors experienced a recurrence of the positive NAT results. Moderate SARS-CoV-2 patients have a good prognosis by the active treatment. A small proportion of the recovered moderate patients still may be virus carriers and require an additional round of viral detection.

Impact of Inter-regional Transport in a Low-Emission Scenario on PM2.5 in Hubei Province, Central China

In 2020, when the novel coronavirus disease 2019 (COVID-19) broke out as a global pandemic, cities in Hubei Province first went into lockdown on 23 January and resumed work and production on 20 March. From February to March 2020, human activities in Hubei decreased significantly, with the average particulate matter smaller than 2.5 μm (PM2.5) concentration standing at 40 μg/m3, which is 21% lower than the expected based on a linear fitting trend in thePM2.5 concentration in Hubei. By using the empirical orthogonal function (EOF) method, this paper comparatively analyzes the spatial-temporal variations of Hubei’s PM2.5 concentration anomaly in February and March 2020 and the same periods of 2016–2019. The results show that the daytime peak of the PM2.5 daily variation in Hubei in a low-emission scenario during COVID-19 declined significantly, to which human activities contributed the most. However, during nighttime, the PM2.5 peak became more prominent, and the meteorological conditions had a more noticeable effect on the PM2.5 concentration. In addition, during COVID-19, there was a great drop in PM2.5 pollution accumulated from local sources within the urban circle of Wuhan City, while an increase was seen in central-western Hubei due to the inter-regional pollutant transport. Thus, the high PM2.5 concentration center in the urban circle of Wuhan disappeared, but the pollution transport channel cities in central-western Hubei remained as high-PM2.5-concentration centers.

How to rapidly convert general wards to ICUs during the COVID-19 epidemic: Experience from Wuhan, China.

BACKGROUND: Critically ill patients with coronavirus disease 2019 (COVID-19) were surging and far outnumbered existing beds. AIMS: To describe how to rapidly convert general wards to intensive care units for critically ill patients with COVID-19. MATERIALS AND METHODS: Comprehensive assessment and analysis of available resources and standard requirements. RESULTS: The ICUs were successfully assembled in 4 days. The conversion included environment reconstruction, configuration and management of equipment, information system construction and human resource allocation. A total of 172 critically ill patients had been admitted to the contemporary ICUs and none medical staff was infected. DISCUSSION: The epidemic situation of COVID-19 poses a great challenge to various management departments of the hospital, especially for critically ill patients with a high mortality rate. To save more critically ill patients, the conversion of a general ward to a quarantine ICU ward must be completed in a short time, and the optimal allocation of resources must be appropriate to ensure that the medical team works effectively and is of high quality. In face of the overloaded medical system, the ideal non-negative pressure ward is hard to achieve. However, we have demonstrated with evidence that our conversions are effective in both providing care to critical patients and protecting the safety of our staff. CONCLUSION: The conversion is successful and the running experience would be a reference for hospitals in other areas nationally or globally.

Genetic evolution analysis of SARS-CoV-2 ORF 1ab/S/M protein and screening of epitopes of mRNA vaccine

Objective　To analyze the genetic and evolutionary properties of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ORF 1ab/S/M proteins and select antigen epitope sequences of mRNA vaccines. Methods　We analyzed the worldwide SARS-CoV-2 genome sequences in this study and have focused on the protein and nucleic acid sequences of the ORF 1ab/S/M. The neighbor-joining tree was employed to map the global distribution of genetic differences. Based on current research on SARS-CoV-2 and SARS-CoV-2 genetic differences, we predicted candidate mRNA vaccines for SARS-CoV-2. Results　The SARS-CoV-2 ORF 1ab nucleic acid sequence similarity is 100.0%, while the homology is 99.3% in the global hot region;the S-protein nucleic acid sequence similarity is 100.0%, while the homology is 97.5%;the M-protein nucleic acid sequence similarity is 100.0%, while the homology is 99.9%. Global distribution of ORF 1ab/S/M proteins indicates that there is a significant genetic difference between the Americas and Eurasia. Potential vaccine antigen epitope mRNA sequences (11 B cell responses and 13 T cell responses) were selected for SARS-CoV-2 ORF 1ab protein;6 B cell responses and 4 T cell responses antigen epitope mRNA sequences were selected for the Spike protein;3 B cell responses and 7 T cell responses antigen epitope mRNA sequences were selected for the membrane protein. Conclusion　There are significant genetic differences in the global hot spot of SARS-CoV-2 in the Americas and Eurasia. Through our new antigen design strategy to screen linear epitopes, we predicted many sequences in ORF 1ab/S/M coding region that potentially raising an immune response. Our study will benefit the discovery of the mRNA vaccine (tandem antigen epitope sequence), antibody discovery, and potentially understanding related immune mechanisms.

Clinical features of critically ill patients infected with SARS-CoV-2 outside Wuhan with and without diabetes.

Aim: Some patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection rapidly develop to critical condition. Here, we investigated the clinical features of critically ill SARS-CoV-2 patients with and without diabetes and identified risk factors for death of these patients. Methods: The medical records including epidemiological, demographic, clinical, and laboratory data from 49 critically ill SARS-CoV-2 patients were collected and analyzed in Huanggang City and Xiaogan City, Hubei Province, outside Wuhan. Results: Sixty-seven percent (33) of patients survived and 33% (16) of patients died in 49 critically ill patients (32 men, 17 women), with a median age of 63 years (IQR 53-73). Univariate analyses indicated that the deceased patients were more often associated with two or more comorbidities, one or more gastrointestinal symptoms, high neutrophil percentage, low lymphocytes and lymphocyte percentage, high C-reactive protein, high procalcitonin, high fasting blood glucose (FBG), and high lactate dehydrogenase (LDH) compared with the survivors; moreover, the patients with T2DM had the higher neutrophil percentage, the lower lymphocyte percentage, and the higher levels of FBG and LDH compared with the patients without T2DM. Multivariable logistic regression analyses indicated that gastrointestinal symptoms (≥ 1 symptoms), decreased lymphocytes (< 1.1 × 109/L), and increased FBG (≥ 7.0 mmol/L) were the independent risk factors for death of critically ill patients. Conclusions: Critically ill COVID patients with T2DM had more severe damages of the lymphocytes, islet cells, and heart function, and gastrointestinal symptoms, lymphopenia, and increased FBG may be early predictors for poor prognosis. Supplementary Information: The online version contains supplementary material available at 10.1007/s13410-020-00888-3.

Detectable Serum Severe Acute Respiratory Syndrome Coronavirus 2 Viral Load (RNAemia) Is Closely Correlated With Drastically Elevated Interleukin 6 Level in Critically Ill Patients With Coronavirus Disease 2019.

BACKGROUND: Although the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral load in respiratory specimens has been widely used to diagnose coronavirus disease 2019 (COVID-19), it is undeniable that serum SARS-CoV-2 nucleic acid (RNAemia) could be detected in a fraction of COVID-19 patients. However, it is not clear whether testing for RNAemia is correlated with the occurrence of cytokine storms or with the specific class of patients. METHODS: This study enrolled 48 patients with COVID-19 admitted to the General Hospital of Central Theater Command, People's Liberation Army, a designated hospital in Wuhan, China. The patients were divided into 3 groups according to the Diagnosis and Treatment of New Coronavirus Pneumonia (sixth edition) guidelines issued by the National Health Commission of China. Clinical and laboratory data were collected, and the serum viral load and interleukin 6 (IL-6) level were determined. RESULTS: Analysis of clinical characteristics of 48 cases of COVID-19 showed that RNAemia was diagnosed only in the critically ill group and seemed to reflect the severity of the disease. Furthermore, the level of the inflammatory cytokine IL-6 in critically ill patients increased significantly, almost 10 times that in other patients. More importantly, the extremely high IL-6 level was closely correlated with the detection of RNAemia (R = 0.902). CONCLUSIONS: Detectable serum SARS-CoV-2 RNA (RNAemia) in patients with COVID-19 was associated with elevated IL-6 concentration and poor prognosis. Because elevated IL-6 may be part of a larger cytokine storm that could worsen outcome, IL-6 could be a potential therapeutic target for critically ill patients with an excessive inflammatory response.