Impact of COVID-19 pandemic on emergency reperfusion characteristics in patients with ST-segment elevation myocardial infarction

Aim To explore the impact of coronavirus-2019 disease (COVID-19) pandemic on emergency reper-fusion characteristics in patients with ST-segment elevation myocardial infarction (STEMI) from non-epicenter. Methods This was a retrospective study involved STEMI patients undergoing primary percutaneous coronary intervention (PPCI), who admitted to chest pain center in our hospital during the pandemic ( from January 23 to March 29 in 2020) and the same period in 2019, excluding the patients with COVID-19. Clinical characteristics and reperfusion parameters were compared between the two groups. Results A total of 64 STEMI patients undergoing PPCI were enrolled in our study, including 13 patients during the pandemic and 51 patients during the same period in 2019. No differences occurred in admission signs, GRACE scores, arrival periods, transferred patterns,the period from door to troponin,and the period from first medical contact to dual antiplatelet between the two groups ( P>0. 05). As compared with 2019, STEMI patients undergoing PPCI had an apparent reduction. Meanwhile, significant delays appeared in reperfusion parameters, in-cluding the period from symptom onset to first medical contact (10 h vs. 3. 0 h, P<0. 001), the period from first medical contact to electrocardiogram (6 min vs. 3 min, P<0. 001), the period from door to troponin (15 min vs. 12 min, P = 0. 048), the period from door to device (76 min vs. 62 min, P = 0. 017), the period from telephone to catheter activated (15 min vs. 5 min, P<0. 001) and the period from catheter arrival to device (52 min vs. 41 min, P = 0. 033). Conclusion Even in non-epicenter, the COVID-19 outbreak still delayed mechanical reperfusion significantly. © 2022, Editorial Office of Chinese Journal of Arteriosclerosis. All rights reserved.

An Improved Soft Subspace Clustering Algorithm for Brain MR Image Segmentation

In recent years, the soft subspace clustering algorithm has shown good results for high-dimensional data, which can assign different weights to each cluster class and use weights to measure the contribution of each dimension in various features. The enhanced soft subspace clustering algorithm combines interclass separation and intraclass tightness information, which has strong results for image segmentation, but the clustering algorithm is vulnerable to noisy data and dependence on the initialized clustering center. However, the clustering algorithm is susceptible to the influence of noisy data and reliance on initialized clustering centers and falls into a local optimum;the clustering effect is poor for brain MR images with unclear boundaries and noise effects. To address these problems, a soft subspace clustering algorithm for brain MR images based on genetic algorithm optimization is proposed, which combines the generalized noise technique, relaxes the equational weight constraint in the objective function as the boundary constraint, and uses a genetic algorithm as a method to optimize the initialized clustering center. The genetic algorithm finds the best clustering center and reduces the algorithm's dependence on the initial clustering center. The experiment verifies the robustness of the algorithm, as well as the noise immunity in various ways and shows good results on the common dataset and the brain MR images provided by the Changshu First People's Hospital with specific high accuracy for clinical medicine.

Research on impacts of COVID-19 on students' clinical social work career determination in Taiwan

A quantitative method is adopted to survey 197 students at the department of social work at a university in Taiwan from April to May in 2020. The study aims to explore the impact of the new coronavirus on social work students' career determination. The result presents the participants with higher social loneliness have lower "Career Determination of Clinical Medical Social Work (CDCMSW)", and the mental burden feeling, and family relationship are predictive of the CDCMSW. © 2023 Author(s).

Cellular and Molecular Atlas of Peripheral Blood Mononuclear Cells from a Pregnant Woman after Recovery from COVID-19

Objective This study aimed to investigate the immune response of a pregnant woman who recovered from the coronavirus disease 2019 (COVID_RS) by using single-cell transcriptomic profiling of peripheral blood mononuclear cells (PBMCs) and to analyze the properties of different immune cell subsets. Methods PBMCs were collected from the COVID_RS patient at 28 weeks of gestation, before a cesarean section. The PBMCs were then analyzed using single-cell RNA sequencing. The transcriptional profiles of myeloid, T, and natural killer (NK) cell subsets were systematically analyzed and compared with those of healthy pregnant controls from a published single-cell RNA sequencing data set. Results We identified major cell types such as T cells, B cells, NK cells, and myeloid cells in the PBMCs of our COVID_RS patient. The increase of myeloid and B cells and decrease of T cells and NK cells in the PBMCs in this patient were quite distinct compared with that in the control subjects. After reclustering and Augur analysis, we found that CD16 monocytes and mucosal-Associated invariant T (MAIT) cells were mostly affected within different myeloid, T, and NK cell subtypes in our COVID_RS patient. The proportion of CD16 monocytes in the total myeloid population was increased, and the frequency of MAIT cells in the total T and NK cells was significantly decreased in the COVID-RS patient. We also observed significant enrichment of gene sets related to antigen processing and presentation, T-cell activation, T-cell differentiation, and tumor necrosis factor superfamily cytokine production in CD16 monocytes, and enrichment of gene sets related to antigen processing and presentation, response to type II interferon, and response to virus in MAIT cells. Conclusion Our study provides a single-cell resolution atlas of the immune gene expression patterns in PBMCs from a COVID_RS patient. Our findings suggest that CD16-positive monocytes and MAIT cells likely play crucial roles in the maternal immune response against severe acute respiratory syndrome coronavirus 2 infection. These results contribute to a better understanding of the maternal immune response to severe acute respiratory syndrome coronavirus 2 infection and may have implications for the development of effective treatments and preventive strategies for the coronavirus disease 2019 in pregnant women.Copyright © Wolters Kluwer Health, Inc. All rights reserved.

Epidemic characteristics analysis of COVID-19 cluster in Huizhou, Guangdong

Objective To analyze the epidemiological characteristics of COVID-19 cluster epidemic in Huizhou from January to February in 2020, and we provide experience and reference for the prevention and control of cluster epidemic. Methods Descriptive epidemiology was used to analyze the clusters of COVID-19 in Huizhou city. Results From January to February in 2020, a total of 19 COVID-19 cluster outbreaks were reported in Huizhou. The most common cluster outbreaks were in Huidong county (8 cases), Boluo county (3 cases) and Huiyang district (3 cases). There were 59 cases involved in 19 outbreaks, among which 46 were confirmed cases, and 13 were asymptomatic infected. The sex ratio of male to female was 0.84: 1, the age was 1-85 years old. The 19 cases of outbreaks were all caused by imported cases, among which 13 cases were imported from Wuhan (68.4%), 3 cases were imported from Hubei province except Wuhan (15.8%), and 3 cases were imported from other provinces and cities (15.8%). There were 13 cases (68.4%) in the first generation, and 6 cases (31.6%) in the second generation. Events exposed place were variety, including 3 (15.8%) simple family exposure, 13 (68.4%) joint exposure, exposure family, 1 (5.26%) of the joint exposure, family exposure, family dinners, 1 (5.26%) of the joint exposure, family exposure, exposure (hotel) exposed in public places, 1 (5.26%) of the collective unit (workplace) exposure. Conclusion All the COVID - 19 cluster outbreaks in Huizhou city were caused by imported cases, most of which occurred in the family and were caused by families living together and eating together. As the number of people returning to work, production and school increases, various prevention and control measures should be implemented in key areas, key populations and key places to prevent the outbreak from rebounding.Copyright © China Tropical Medicine 2021.

Instructors' Social, Cognitive, and Teaching Presences in Emergency Remote Teaching of Chinese Language in the United States: A Qualitative Study

Guided by Community of Inquiry (Garrison and Vaughan, Blended learning in higher education: Framework, principles, and guidelines. Jossey-Bass Publishers, 2008), this study investigated faculty's cognitive, social, and teaching presences in teaching Chinese as a foreign language classroom during emergency remote teaching (ERT) necessitated by the COVID-19 pandemic during the spring semester of 2020. The study collected data from five videoconferencing interviews with five faculty participants. The five participants, purposefully sampled, taught Chinese language classes across varying proficiency levels from five different four-year college institutions in the United States. The study analyzed the engagement strategies the participants employed in organizing their social, cognitive, and teaching presences. It further suggests pedagogical implications and future research for language instructors, teacher education programs, and university administrators to consider. © The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022.

Effect of Different Factors on the Quality of Life and Sequelae of COVID-19 Patients after Discharge

Background The continued spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains an international public health emergency, resulting in a significant global disease burden. The long-term effects of SARS-CoV-2 infection in humans and the long-term prognosis of patients with coronavirus disease 2019 (COVID-19) after discharge remain unclear. We aimed to assess the quality of life (QoL) and sequelae in patients with COVID-19 after discharge from the hospital by conducting multiple follow-up visits to understand the long-term effects of SARS-CoV-2 on patients' health and its possible influencing factors. Methods COVID-19 patients discharged from Huoshenshan Hospital (Wuhan, China) between February 15 and April 5, 2020, were followed up at 6, 9, and 12 months after discharge. They completed questionnaires on postdischarge QoL and sequelae under the guidance of medical staff with professional training. The demographic and clinical characteristics of the COVID-19 patients were analyzed using descriptive statistics. A generalized estimating equation model was used to analyze the QoL-related factors. The χ2 test (or Fisher exact test) and multivariate logistic regression analysis were used to analyze the sequelae and influencing factors. Results A total of 175 patients participated in at least 1 follow-up visit, and 120 completed all 3 follow-up visits. Patients diagnosed with severe and critically ill COVID-19 had worse mental conditions (χ2 = 7.653, P = 0.022) than those with the nonsevere type (not severe or critical) and were more likely to feel fatigued (χ2 = 4.836, P = 0.028). Female patients had a higher risk of sleep disturbance (χ2 = 10.026, P = 0.002) and dyspnea (χ2 = 5.672, P = 0.017) and had more difficulty returning to their original work and life (χ2 = 8.922, P = 0.003) than male patients. Patients with diabetes had a worse appetite (χ2 = 4.669, P = 0.031) and were more prone to sleep disturbance (χ2 = 4.417, P = 0.036) after discharge. The proportion of patients with at least 1 sequela increased from 29.76% (50/168) at 6 months to 51.11% (69/135) at 9 months (χ2 = 14.305, P < 0.001). Compared with the nonsevere type, patients diagnosed with severe and critically ill COVID-19 had an odds ratio (OR) of 4.325 (95% confidence interval [CI], 1.215-15.401) for memory decline. Female patients had an OR of 4.632 (95% CI, 1.716-12.501) for joint or muscle pain. Patients with hypertension had an OR of 3.014 (95% CI, 1.193-7.615) for joint or muscle pain. Conclusion One year after discharge, there were still some patients with varying degrees of decline in QoL and sequelae, which occurred in all follow-up visits. Moreover, QoL and sequelae after discharge were related to sex, clinical classification of COVID-19, and underlying diseases. © Wolters Kluwer Health, Inc. All rights reserved.

Study on global R&D of anti-coronavirus 3CL protease inhibitors based on patent analysis.

3CL protease inhibitors has become the focus of the current research on anti-coronavirus drugs. The analysis of the patent information will help the research and innovation of such anti-coronavirus drugs. This paper analyzes the application trends of anti-coronavirus 3CL protease inhibitor-related patents, the distribution of regional status of patents, important applicants, patented technology themes, progress of key drug development and other factors. We also analyze the development of related patent technologies and aim to help domestic pharmaceutical enterprises carry out innovation and complete the strategic layout.Copyright © 2023 Chinese Journal of New Drugs Co. Ltd.. All rights reserved.

Prediction and Analysis of COVID-19 Epidemic Based on Improved GEP Algorithm to Optimize SEIR Mode

In 2019, COVID-19 (CoronaVirus Disease 2019) broke out all over the world. COVID-19 is an infectious disease, which has a huge impact on the global economy. It is very difficult to prevent and control the epidemic situation of this infectious disease. At present, many SEIR(Susceptible Exposed Infected Recovered)models are used to predict the number of infectious diseases, which has the shortcomings of low prediction accuracy and inaccurate inflection point prediction. Therefore, this paper proposes that the prediction and analysis of COVID-19 based on improved GEP algorithm and optimized SEIR model can improve the prediction accuracy and inflection point prediction accuracy, and provide a theoretical basis for epidemic prevention of large-scale infectious diseases in the future. The algorithm. First, establish SEIR (Susceptible Exposed Infected Recovered) model to analyze the epidemic trend, and then use improved GEP (Gene Expression Programming) algorithm to analyze the infection coefficient of SEIR model beta And coefficient of restitution y, perform parameter estimation to optimize the initial value I and recovery coefficient of the infected population y and so on to improve the accuracy of model prediction. The experimental data take the number of COVID-19 infected people in the United States, China, the United Kingdom and Italy as examples. The results show that the SEIR model optimized based on the improved GEP algorithm conforms to the inflection point of the actual data, and the average error value is 1.32%. The algorithm provides a theoretical basis for the future epidemic prevention. © 2022 IEEE.

Study on global R&D of anti-coronavirus 3CL protease inhibitors based on patent analysis.

3CL protease inhibitors has become the focus of the current research on anti-coronavirus drugs. The analysis of the patent information will help the research and innovation of such anti-coronavirus drugs. This paper analyzes the application trends of anti-coronavirus 3CL protease inhibitor-related patents, the distribution of regional status of patents, important applicants, patented technology themes, progress of key drug development and other factors. We also analyze the development of related patent technologies and aim to help domestic pharmaceutical enterprises carry out innovation and complete the strategic layout.Copyright © 2023 Chinese Journal of New Drugs Co. Ltd.. All rights reserved.

Superior Effectiveness of Plinabulin (Plin) versus No-Treatment for Docetaxel (Doc)-Induced Neutropenia (N) and other Hematologic Complication in Breast Cancer (BC) Patients

Introduction: Minimizing hematologic complications (HC) in breast cancer patients (pt) increases pt safety and convenience, minimizes financial toxicity and may lower risk for COVID-19 infection. Plin is a novel small molecule which protects bone marrow progenitor stem cells and is non-inferior to Peg for the prevention of chemotherapy-induced neutropenia (CIN) after Doc (Blayney, JAMA Open 2021). In contrast to pegfilgrastim (Peg), Plin (as a single dose per cycle), is given on the same day of chemotherapy, has minimal bone pain and thrombopenia, has anti-cancer efficacy, and could minimize healthcare system touches (Blayney, JAMA Onc 2020;Han, ESMO 2021). Doc 75 mg/m2 in BC pts is typically used without G-CSF prophylaxis ('no treatment'). We evaluated Plin's HC preventive effects in comparison to no-treatment in BC patients receiving Doc from published studies. Method(s): The HC endpoints from the 27 early BC patients with at least one NCCN high FN risk factor (N=27) from the phase 3 CIN trial (PROTECTIVE-1, NCT03102606) were compared with NoTreatment (non-prophylactic Peg or G-CSF) in patients receiving 75 mg/m2 Doc. Plin was given by 30 minute (min) IV infusion as a single dose each cycle, 30 min after Doc, over 4 cycles. Cycle 1 hematology measurements in Plin-treated pts were taken pre-dose and days 1, 2, 6, 7, 8, 9, 10, 15 and 21 (10 ANC values in cycle 1);and in cycles 2-4 on days 1, 8, 21 and at end of study and were then analyzed by Covance Central Laboratory. No treatment neutropenia data was obtained from published cancer trials with monotherapy Doc 75 mg/m2 in two No-Treatment studies with at least weekly blood sampling (Harvey et al., JCO, 2006: ~3-4 draws in cycle 1), or twice-weekly (Dieras et al., Br J Ca, 1996: ~5-6 draws in cycle 1). The HC endpoints were all grade (Gr) N, Gr4N, Gr3/4N, Gr3/4 febrile N (FN), infections, anemia and thrombopenia. Other endpoints were adverse events (AEs) and Quality of Life (QoL with EORTC QLQ-C30). Result(s): Baseline demographics were generally comparable between the Plin and No-Treatment literature studies for age, ECOG, and number of prior lines. Gr4N frequency with Plin was 44%, 11%, 3% and 0% in cycles 1, 2, 3 and 4 respectively, thus no added Gr4N was observed after cycle 4. Plin had significantly less neutropenia, and numerically less anemia and thrombopenia vs NoTreatment. QoL with plinabulin remained unchanged over 4 cycles. Conclusion(s): Blood sampling in the No-Treatment studies (Harvey and Dieras) were infrequent, and likely underestimated the true Gr4N frequency. Despite a higher frequency of ANC sampling in cycle 1, Plin was superior vs No-Treatment for Doc-induced neutropenia and HC, while maintaining QoL and with minimal AE and bone pain burden. The same day dosing combined with the avoidance of AEs typically leading to healthcare touches, provides a distinct benefit with Plin for the prevention of Doc-induced neutropenia. (Table Presented).

Treatment Effects of Integrated TCM and Western Medicine Treatment Scheme on COVID-19: A Single-armed Clinical Trial

Backgroud: The outbreak of COVID-19 has brought unprecedented perils to human health and raised public health concerns in more than two hundred countries. Safe and effective treatment scheme is needed urgently. Objective(s): To evaluate the effects of integratedTCM and western medicine treatment scheme on COVID-19. Method(s): A single-armed clinical trial was carried out in Hangzhou Xixi Hospital, an affiliated hospital with Zhejiang Chinese Medical University. 102 confirmed cases were screened out from 725 suspected cases and 93 of them were treated with integrated TCM and western medicine treatment scheme. Result(s): 83 cases were cured, 5 cases deteriorated, and 5 cases withdrew from the study. No deaths were reported. The mean relief time of fever, cough, diarrhea, and fatigue were (4.78 +/- 4.61) days, (7.22 +/- 4.99) days, (5.28 +/- 3.39) days, and (5.28 +/- 3.39) days, respectively. It took (14.84 +/- 5.50) days for SARS-CoV-2 by nucleic acid amplification-based testing to turn negative. Multivariable cox regression analysis revealed that age, BMI, PISCT, BPC, AST, CK, BS, and UPRO were independent risk factors for COVID-19 treatment. Conclusion(s): Our study suggested that integrated TCM and western medicine treatment scheme was effective for COVID-19.Copyright © 2021

Coordinated location-allocation of cruise ship emergency supplies under public health emergencies

For the rapid development of the cruise industry, the cruise disaster relief supply chain has attracted extensive attention, especially because COVID-19 cases on international cruise ships occurred. In this paper, we propose an idea of coordination layout for cruise ship emergency supplies, the problem optimized two objective functions of maximizing coverage satisfaction and minimizing the total cost, addressing the low efficiency of resource utilization at the same. By applying to cruise ship emergency supplies layout of Northeast Asia cruise port group system, using expert scoring method and AHP to evaluate cruise port security vulnerability. The NSGA-II algorithm is used to solve the multi-objective programming model. A numerical example shows that the optimization design model and method are valid and feasible, and the algorithm is efficient for solving the above collaborative location and allocation problem of sectional reserves, which can also offer a variety of decision-making options. © 2023 the Author(s), licensee AIMS Press

[Study of incubation period of infection with 2019-nCoV Omicron variant BA.5.1.3].

Objective: To study the incubation period of the infection with 2019-nCoV Omicron variant BA.5.1.3. Methods: Based on the epidemiological survey data of 315 COVID-19 cases and the characteristics of interval censored data structure, log-normal distribution and Gamma distribution were used to estimate the incubation. Bayes estimation was performed for the parameters of each distribution function using discrete time Markov chain Monte Carlo algorithm. Results: The mean age of the 315 COVID-19 cases was (42.01±16.54) years, and men accounted for 30.16%. A total of 156 cases with mean age of (41.65±16.32) years reported the times when symptoms occurred. The log-normal distribution and Gamma distribution indicated that the M (Q1, Q3) of the incubation period from exposure to symptom onset was 2.53 (1.86, 3.44) days and 2.64 (1.91, 3.52) days, respectively, and the M (Q1, Q3) of the incubation period from exposure to the first positive nucleic acid detection was 2.45 (1.76, 3.40) days and 2.57 (1.81, 3.52) days, respectively. Conclusions: The incubation period by Bayes estimation based on log-normal distribution and Gamma distribution, respectively, was similar to each other, and the best distribution of incubation period was Gamma distribution, the difference between the incubation period from exposure to the first positive nucleic acid detection and the incubation period from exposure to symptom onset was small. The median of incubation period of infection caused by Omicron variant BA.5.1.3 was shorter than those of previous Omicron variants.

Daily hotel demand forecasting with spatiotemporal features

Purpose: Given the importance of spatial effects in improving the accuracy of hotel demand forecasting, this study aims to introduce price and online rating, two critical factors influencing hotel demand, as external variables into the model, and capture the spatial and temporal correlation of hotel demand within the region. Design/methodology/approach: For high practical implications, the authors conduct the case study in Xiamen, China, where the hotel industry is prosperous. Based on the daily demand data of 118 hotels before and during the COVID-19 period (from January to June 2019 and from January to June 2021), the authors evaluate the prediction performance of the proposed innovative model, that is, a deep learning-based model, incorporating graph convolutional networks (GCN) and gated recurrent units. Findings: The proposed model simultaneously predicts the daily demand of multiple hotels. It effectively captures the spatial-temporal characteristics of hotel demand. In addition, the features, price and online rating of competing hotels can further improve predictive performance. Meanwhile, the robustness of the model is verified by comparing the forecasting results for different periods (during and before the COVID-19 period). Practical implications: From a long-term management perspective, long-term observation of market competitors' rankings and price changes can facilitate timely adjustment of corresponding management measures, especially attention to extremely critical factors affecting forecast demand, such as price. While from a short-term operational perspective, short-term demand forecasting can greatly improve hotel operational efficiency, such as optimizing resource allocation and dynamically adjusting prices. The proposed model not only achieves short-term demand forecasting, but also greatly improves the forecasting accuracy by considering factors related to competitors in the same region. Originality/value: The originalities of the study are as follows. First, this study represents a pioneering attempt to incorporate demand, price and online rating of other hotels into the forecasting model. Second, integrated deep learning models based on GCN and gated recurrent unit complement existing predictive models using historical data in a methodological sense. © 2022, Emerald Publishing Limited.

Surface control approach for growth of cerium oxide on flower-like molybdenum disulfide nanosheets enables superior removal of uremic toxins

Due to the high incidence of kidney disease, there is an urgent need to develop wearable artificial kidneys. This need is further exacerbated by the coronavirus disease 2019 pandemic. However, the dialysate regeneration system of the wearable artificial kidney has a low adsorption capacity for urea, which severely limits its application. Therefore, nanomaterials that can effectively remove uremic toxins, especially urea, to regenerate dialysate are required and should be further investigated and developed. Herein, flower-like molybdenum disulphide (MoS2) nanosheets decorated with highly dispersed cerium oxide (CeO2) were prepared (MoS2/CeO2), and their adsorption performances for urea, creatinine, and uric acid were studied in detail. Due to the open interlayer structures and the combination of MoS2 and CeO2, which can provide abundant adsorption active sites, the MoS2/CeO2 nanomaterials present excellent uremic toxin adsorption activities. Further, uremic toxin adsorption capacities were also assessed using a self-made fixed bed device under dynamic conditions, with the aim of developing MoS2/CeO2 for the practical adsorption of uremic toxins. In addition, the biocompatibility of MoS2/CeO2 was systematically analyzed using hemocompatibility and cytotoxicity assays. Our data suggest that MoS2/CeO2 can be safely used for applications requiring close contact with blood. Our findings confirm that novel 2-dimensional nanomaterial adsorbents have significant potential for dialysis fluid regeneration. © 2022

RNAi Degrades the SARS-CoV-2 Spike Protein RNA for Developing Drugs to Treat COVID-19

COVID-19 is caused by severe acute respiratory SARS-CoV-2. Regardless of the availability of treatment strategies for COVID-19, effective therapy will remain essential. A promising approach to tackle the SARS-CoV-2 could be small interfering (si) RNAs. Here we designed the small hairpin RNA (named as shRNA688) for targeting the prepared 813 bp Est of the S protein genes (Delta). The conserved and mutated regions of the S protein genes from the genomes of the SARS-CoV-2 variants in the public database were analyzed. A 813 bp fragment encoding the most part of the RBD and partial downstream RBD of the S protein was cloned into the upstream red florescent protein gene (RFP) as a fusing gene in the pCMV-S-Protein RBD-Est-RFP plasmid for expressing a potential target for RNAi. The double stranded of the DNA encoding for shRNA688 was constructed in the downstream human H1 promoter of the plasmid in which CMV promoter drives enhanced green fluorescent protein (EGFP) marker gene expression. These two kinds of the constructed plasmids were co-transfected into HEK293T via Lipofectamine 2000. The degradation of the transcripts of the SARS-CoV-2 S protein fusing gene expressed in the transfected HEK293T treated by RNAi was analyzed by RT-qPCR with a specific probe of the targeted SARS-CoV-2 S protein gene transcripts. Our results showed that shRNA688 targeting the conserved region of the S protein genes could effectively reduce the transcripts of the S protein genes. This study provides a cell model and technical support for the research and development of the broad-spectrum small nucleic acid RNAi drugs against SARS-CoV-2 or the RNAi drugs for the other hazard viruses which cause human diseases. Copyright © Weiwei Zhang, Linjia Huang, Jumei Huang, Xin Jiang, Xiaohong Ren, Xiaojie Shi, Ling Ye, Shuhui Bian, Jianhe Sun, Yufeng Gao, Zehua Hu, Lintin Guo, Suyan Chen, Jiahao Xu, Jie Wu, Jiwen Zhang, Daxiang Cui, and Fangping Dai.

Prolonged Viral Shedding in Three Young Adult Cases of COVID-19

Severe acute respiratory syndrome coronavirus-2 infection is usually self-limited, with a short duration for viral shedding within several weeks. However, prolonged viral shedding has been observed in severe or immune-compromised coronavirus disease 2019 (COVID-19) cases. Here, we reported that three young adult cases of COVID-19 patients, who were either immunosuppressed nor severe, showed prolonged viral RNA shedding from the upper respiratory tract for 58, 81, and 137 days since initial diagnosis. To our knowledge, this is the longest duration of viral shedding reported to date in young adult patients. Further studies on factors relevant to prolonged viral positivity, as well as the correlation between viral positivity and transmission risk are needed for the optimal management of COVID-19 patients with prolonged nucleic acid positive. © Copyright 2022 The Chinese Medical Association, published by Wolters Kluwer Health, Inc.

Mediating effect of sustainable development practices on the relationship between information management practices and green innovation in China

This research examines the role of information management practices termed as knowledge acquisition, knowledge dissemination, and knowledge application towards green innovation among the Small and Medium Enterprises (SMEs) working in China's region. Moreover, the mediating role of sustainable development practices is also observed in the relationship between knowledge management and green innovation. An online survey questionnaire collected a valid sample of 364 respondents from different SMEs after the COVID-19 period to integrate its aftershocks. Furthermore, structural equation modelling was applied, and the measurement model confirms the reliability, convergent validity, and discriminant validity of latent constructs and selected items'. We confirm a direct and significant relationship between knowledge acquisition, knowledge dissemination, application, and green innovations through PLS-SEM. Besides, sustainable development indicators confirm their mediating role in the relationship between knowledge management and green innovations. This research offers meaningful theoretical and empirical contributions and suggestions for SME industries and policymakers.

The Effects of Intervention Strategies for COVID-19 Transmission Control on Campus Activity

University is one of the most likely environments for the cluster infection due to the long-time close contact in house and frequent communication. It is critical to understand the transmission risk of COVID-19 under various scenario, especially during public health emergency. Taking the Tsinghua university's anniversary as a representative case, a set of prevention and control strategies are established and investigated. In the case study, an alumni group coming from out of campus is investigated whose activities and routes are designed based on the previous anniversary schedule. The social closeness indicator is introduced into the Wells-Riley model to consider the factor of contact frequency. Based on the anniversary scenario, this study predicts the number of the infected people in each exposure indoor location (including classroom, dining hall, meeting room and so on) and evaluates the effects of different intervention measures on reducing infection risk using the modified Wells-Riley model, such as ventilation, social distancing and wearing mask. The results demonstrate that when applying the intervention measure individually, increasing ventilation rate is found to be the most effective, whereas the efficiency of increased ventilation on reducing infection cases decreases with the increase of the ventilation rate. To better prevent COVID-19 transmission, the combined intervention measures are necessary to be taken, which show the similar effectiveness on the reduction of infected cases under different initial infector proportion. The results provide the insights into the infection risk on university campus when dealing with public health emergency and can guide university to formulate effective operational strategies to control the spread of COVID-19. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.