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1.
Carbohydrate Polymers ; 299, 2023.
Article in English | Web of Science | ID: covidwho-2095124

ABSTRACT

In December 2019, the global coronavirus disease 2019 (COVID-19) pandemic began in Wuhan, China. COVID-19 is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which infects host cells primarily through the angiotensin-converting enzyme 2 (ACE2) receptor. In addition to ACE2, several studies have shown the importance of heparan sulfate (HS) on the host cell surface as a co-receptor for SARS-CoV-2-binding. This insight has driven research into antiviral therapies, aimed at inhibiting the HS co-receptor -binding, e.g., by glycosaminoglycans (GAGs), a family of sulfated polysaccharides that includes HS. Several GAGs, such as heparin (a highly sulfated analog of HS), are used to treat various health indications, including COVID-19. This review is focused on current research on the involvement of HS in SARS-CoV-2 infection, im-plications of viral mutations, as well as the use of GAGs and other sulfated polysaccharides as antiviral agents.

2.
23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 ; 2022-September:2168-2172, 2022.
Article in English | Scopus | ID: covidwho-2091312

ABSTRACT

A fast, efficient and accurate detection method of COVID-19 remains a critical challenge. Many cough-based COVID-19 detection researches have shown competitive results through artificial intelligence. However, the lack of analysis on vocalization characteristics of cough sounds limits the further improvement of detection performance. In this paper, we propose two novel acoustic features of cough sounds and a convolutional neural network structure for COVID-19 detection. First, a time-frequency differential feature is proposed to characterize dynamic information of cough sounds in time and frequency domain. Then, an energy ratio feature is proposed to calculate the energy difference caused by the phonation characteristics in different cough phases. Finally, a convolutional neural network with two parallel branches which is pre-trained on a large amount of unlabeled cough data is proposed for classification. Experiment results show that our proposed method achieves state-of-the-art performance on Coswara dataset for COVID-19 detection. The results on an external clinical dataset Virufy also show the better generalization ability of our proposed method. Copyright © 2022 ISCA.

3.
Chinese Medical Ethics ; 35(9):978-985, 2022.
Article in Chinese | Scopus | ID: covidwho-2090894

ABSTRACT

COVID-19 poses a major threat to safety and health of human life. Vaccination has become an important means to resist and prevent COVID-19. Under the background of limited global supply of COVID-19 vaccine and its initial application, it is extremely necessary to discuss its ethical principles. Based on the bioethics theory and in accordance with relevant laws and regulations on vaccine use in China, this paper put forward the ethical principles of COVID-19 vaccine use, including safety principle, respect principle, fairness and justice principle, optimization principle and humanitarianism principle, which provided reference for scientifically formulating COVID-19 vaccination strategy and forming a group immune barrier to effectively control the epidemic situation in COVID-19. © 2022, Editorial department of Chinese Medical Ethics. All rights reserved.

4.
Fertility and Sterility ; 118(4 Supplement):e24, 2022.
Article in English | EMBASE | ID: covidwho-2086202

ABSTRACT

Objective: Aiming to uncover causal mechanisms of COVID-19 sequela outside of pulmonary symptomology, a recent study from our group identified a variant of the NACAD protein (120bp coding sequence deletion) associated with COVID-19 orchitis, a risk factor for male infertility. Interestingly, these patients had decreased ACE2 serum levels. NACAD is proposed to prevent inappropriate targeting of non-secreted peptides to the endoplasmic reticulum. We hypothesized that a defect in NACAD function/processing will decrease ACE2 serum levels by disrupting extracellular transport and endoplasmic reticulum interaction. We explored whether intracellular levels of ACE levels were altered and if cell membrane protein deposition was increased, which may result in more severe effects to SARS-CoV-2 infection. Material(s) and Method(s): We obtained testis biopsies from men undergoing sperm retrieval for infertility. After siRNA NACAD knockdown, we analyzed total ACE2 expression using Western blot and qPCR as well as immunofluorescence/H&E staining for co-localization (with NACAD). Membrane-anchored ACE2 (mACE2) levels were quantified using immunostaining and flowcytometry while secreted ACE2 (sACE2) was analyzed by ELISA and Western blot. Result(s): NACAD and ACE2 co-localize in both the Leydig and germ cells. When NACAD is knocked down, primary testes cells show 80% decreased mRNA and 50% total protein levels of ACE2. The secreted ACE2 was also reduced by nearly 50%. However, when we specifically measured the level of mACE2 on the cell surface, we found that the knockdown of NACAD did not lead to reduction. Conclusion(s): NACAD likely specifically affects the level of sACE2, which is speculated to act as a protection factor by retaining the virus in serum and reducing cellular entry. While the exact reason for the differential effects of NACAD on mACE2 and sACE2 remain unclear, our data is consistent to other studies, which found a reduction of total ACE2 expression and sACE2 in patients is coupled with worse outcomes in COVID-19. We hope that establishing a relationship between NACAD and ACE2 expression will prove useful not only to elucidate why some men with COVID develop orchitis but, ultimately, why some men develop multiorgan failure with COVID infection whereas most do not. Impact Statement: We expect that men with a history of orchitis and an increased level of ACE2 receptors will present with a higher and prolonged risk of impaired semen parameters. By identifying the impact of COVID-19 infection on male fertility, we can determine whether recommendations are warranted for sperm cryopreservation for men at high risk of contracting the infection, such as healthcare workers. Copyright © 2022

5.
Chinese Journal of Evidence-Based Medicine ; 20(3):252-257, 2020.
Article in Chinese | EMBASE | ID: covidwho-2067158

ABSTRACT

During the coronavirus disease 2019 (COVID-19) epidemics, universities take responsibility for the health of their students and epidemic control. Our urgent recommendation focuses on four key questions of emergency management in universities following rigorous evidence-based approaches and provides timely suggestions to university managers, academic faculties and student affairs managers. We recommend universities during the COVID-19 epidemics should: 1) suspend offline lectures;2) provide proper health education on the disease;3) encourage face masks, however oppose using N95 masks on the campus;4) encourage hand hygiene and provide sanitizing products on the campus. Copyright © 2020 West China University of Medical Science. All rights reserved.

6.
Huanjing Kexue Xuebao/Acta Scientiae Circumstantiae ; 42(7):53-62, 2022.
Article in Chinese | Scopus | ID: covidwho-2056466

ABSTRACT

In order to study the pollution levels of PM2.5 and water-soluble inorganic ions(WSIIs)in the towns of southern Gansu, PM2.5 samples were collected quarterly in Cheng County of Gansu from April 2019 to February 2020. Their characteristics of variation were analyzed, and the sources were apportioned using correlation and principal component analysis. The results showed that the mean annual mass concentration of PM2.5 was(57.2±26.9)μg·m-3 in Cheng County of Gansu Province. The seasonal variation of PM2.5 concentration was represented by winter>spring>autumn>summer during the sampling period, and the concentrations in winter were about 1.9 times than that in summer. The annually good air quality rate was 81%, of which 100% in summer. The ranking of WSII concentrations was SO42->NO3->Na+>NH4+>Ca2+>K+>Cl->Mg2+.SNA is the highest water-soluble ions, accounting for 70.1% of the concentration of eight main water-soluble ions. The mean ratio of ρ(NO3-)/ρ(SO42-)was 0.6, indicating that fixed sources such as industrial and agricultural production and fossil fuel combustion emissions, was the major source for particulate pollution. During the 2019 coronavirus epidemic, control measures had a significant impact on the concentration of PM2.5 and SNA in water-soluble ions, and the mean concentration of PM2.5 was reduced by 44.2%. Source apportionment showed that WSIIs in PM2.5 were mainly from fossil fuel combustion, biomass combustion, secondary formation and road construction dust, etc. © 2022 Science Press. All rights reserved.

7.
Atmospheric Environment ; 289, 2022.
Article in English | Web of Science | ID: covidwho-2014913

ABSTRACT

Nitrogen dioxide (NO2) is an important target for monitoring atmospheric quality. Deriving ground-level NO2 concentrations with much finer resolution, it requires high-resolution satellite tropospheric NO2 column as input and a reliable estimation algorithm. This paper aims to estimate the daily ground-level NO2 concentrations over China based on machine learning models and the TROPOMI NO2 data with high spatial resolution. In this study, four tree-based algorithm machine learning models, decision trees (DT), gradient boost decision tree (GBDT), random forest (RF) and extra-trees (ET), were used to estimate ground-level NO2 concentrations. In addition to considering many influencing factors of the ground-level NO2 concentrations, we especially introduced simplified temporal and spatial information into the estimation models. The results show that the extra-trees with spatial and temporal information (ST-ET) model has great performance in estimating ground-level NO2 concentrations with a cross-validation R-2 of 0.81 and RMSE of 3.45 mu g/m(3) in test datasets. The estimated results for 2019 based on the ST-ET model achieves a satisfactory accuracy with a cross-validation R-2 of 0.86 compared with the other models. Through time-space analysis and comparison, it was found that the estimated high-resolution results were consistent with the ground observed NO2 concentrations. Using data from January 2020 to test the prediction power of the models, the results indicate that the ST-ET model has a good performance in predicting ground-level NO2 concentrations. Taking four ground-level NO2 concentrations hotspots as examples, the estimated ground-level NO2 concentrations and ground-based observation data during the coronavirus disease (COVID-19) pandemic were lower compared with the same period in 2019. The findings offer a solid solution for accurately and efficiently estimating ground-level NO2 concentrations by using satellite observations, and provide useful information for improving our understanding of the regional atmospheric environment.

8.
Innovation in Aging ; 5:717-717, 2021.
Article in English | Web of Science | ID: covidwho-2011096
9.
Advances in Geo-Energy Research ; 6(4):271-275, 2022.
Article in English | Scopus | ID: covidwho-1975873

ABSTRACT

The multiscale rock physics of unconventional reservoirs have drawn increasing attention in recent years, which involves several essential issues, including measuring method, transport property, physics model, characteristic scale, and their application. These issues vastly affect science and engineering regarding the exploration and development of unconventional reservoirs. To encourage communication on the advances of research on the rock physics of unconventional reservoirs, a conference on Multiscale Rock Physics for Unconventional Reservoirs was jointly organized by the journals Energies and Advances in Geo-Energy Research. Due to the limitations of movement caused by COVID-19, 21 experts introduced their work online, and the conference featured the latest multiscale theories, experimental methods and numerical simulations on unconventional reservoirs. © 2022, Yandy Scientific Press. All rights reserved.

10.
Bulletin of Chinese Academy of Sciences ; 37(6):756-764, 2022.
Article in Chinese | Scopus | ID: covidwho-1975500

ABSTRACT

The world is experiencing a great change with the combined impact of the COVID-19 pandemic. In the post-epidemic era, the world’s major economies have begun to plan their strategic adjustments, economic revival and transformation. Industry 5.0, as the EU’s new strategy to plan the “New Industrial Revolution” and promote industrial transformation in Europe, has raised wide attentions in the world and has become a hotspot of think tank research. Guided by the think tank double helix methodology, this study constructed a cognitive framework to study industrial strategy and its related complex system issues such as international relations, science and technology strategy, and economic and social development from systematic, subjective, scientific, global and practical perspectives, researched the feature, purpose and significance of Industry 5.0, as well as its impact, enlightenment and reference on the high-quality development of China’s manufacturing, and put forward the coping strategies. This study fully revealed the value and significance of think tank double helix methodology in expanding the research horizon of such issues. © 2022, Science Press. All rights reserved.

11.
4th International Conference on Management Science and Industrial Engineering, MSIE 2022 ; : 1-8, 2022.
Article in English | Scopus | ID: covidwho-1973913

ABSTRACT

Even though "Mainstream Media and E-Commerce Live Streaming"emerges as a new form of E-Commerce Live Streaming under the influence of the COVID-19 pandemic, its underlying mechanism in consumers' online shopping remains unexplored. Consequently, this paper explores this topic with a qualitative research through in-depth interviews with college students and graduate students. Based on the grounded theory and NVIVO 12.0 software, researchers explore the influences of mainstream media live streaming of consumers' purchase decision, and propose a framework of consumer purchased decision-making factors of 3 themes and 11 sub-themes. Overall, the findings contribute to the literature of E-Commerce Live Streaming and provide practical implications for mainstream media to better participate in E-Commerce live streaming platforms. © 2022 ACM.

12.
19th International Conference on Smart Living and Public Health, ICOST 2022 ; 13287 LNCS:293-301, 2022.
Article in English | Scopus | ID: covidwho-1958898

ABSTRACT

This paper presents AcousticPAD, a contactless and robust handwriting recognition system that extends the input and interactions beyond the touchscreen using acoustic signals, thus very useful under the impact of the COVID-19 epidemic. To achieve this, we carefully exploit acoustic pulse signals with high accuracy of time of fight (ToF) measurements. Then we employ trilateration localization method to capture the trajectory of handwriting in air. After that, we incorporate a data augmentation module to enhance the handwriting recognition performance. Finally, we customize a back propagation neural network that leverages augmented image dataset to train a model and recognize the acoustic system generated handwriting characters. We implement AcousticPAD prototype using cheap commodity acoustic sensors, and conduct extensive real environment experiments to evaluate its performance. The results validate the robustness of AcousticPAD, and show that it supports 10 digits and 26 English letters recognition at high accuracies. © 2022, The Author(s).

13.
China Journal of Leprosy and Skin Diseases ; 38(8):499-502, 2022.
Article in Chinese | Scopus | ID: covidwho-1954980

ABSTRACT

Background: Eight pm on April 13, 2022,a10:1 mixed test tube was found to be positive in the COVID-19 nucleic acid test site set up outside the hospital. In order to identify the infected case and control the spread of COVID-19 rapidly, we conducted this emergency investigation. Methods: According to the National COVID-19 Control and Prevention Protocol (8th edition), Guideline on Emergency Response to COVID-19 Case Found in Hospital in Shandong Province, and the Emergency Response Plan for COVID-19 in our hospital, information reporting, hospitalblockading, potential COVID- 19 cases tracing, close contact screening, environmental sampling and disinfecting, COVID-19 nucleic acid testing and risk assessment were carried out by our team. Results: A female COVID-19 case aged 50 years was identified. She is aodd-jobber who works in the labour market near the hospital. The virus strain was sequenced as Omicron BA.2. A total of 65 close contacts was controlled in a hotel. The COVID-19 nucleic acid test results for all the staff of hospital, environmental samples were negative. The risk of COVID-19 spread was controlled and the hospital restarted of clinical activities as normal at 8 am on April 14 after blockaded for 12 hours. Inthe following 7 days, the staff of the hospital were tested for COVID-19 nucleic acid twice a day, and the results were negative. Then the testing frequency changed to once a day. Conclusion: Formulating detailed and feasible COVID-19 emergency response plans based on the requirements of the public documents and the actual conditions of the hospital, is useful to improve the efficiency of emergency response to COVID-19 cases and save time for control of COVID-19 spread and restart the clinical activities of hospital. © 2022 Shandong Yinbao Technology Co. Ltd. All Rights Reserved.

14.
Energy Strategy Reviews ; 42, 2022.
Article in English | Scopus | ID: covidwho-1944953

ABSTRACT

As the first country to restart the economy after the COVID-19 pandemic, China's fast-growing energy consumption has brought huge challenges to the energy system. In this context, ensuring a stable energy supply requires accurate estimates of energy consumption for China's post-Covid-19 pandemic economic recovery. To this end, this study uses multiple panel regression model to explore the relationship between energy consumption and economic growth from the perspective of energy sources (total energy, coal, oil, natural gas) and regional difference. The data from 30 provinces in China from 2000 to 2017 were selected. Our findings indicate that China economic growth has led to the largest increase for oil consumption, followed by natural gas consumption, and finally coal consumption. That is, China economic growth has led to the largest increase for oil consumption, followed by natural gas consumption, and finally coal consumption. In addition, the coefficients of regional energy consumption equations are heterogeneous. Among them, energy consumption growth in provinces with high energy consumption is most affected by economic growth, followed by provinces with low energy consumption, and finally provinces with middle energy consumption. © 2022 The Author(s)

15.
Journal of International Students ; 12(Special Issue 1):125-129, 2022.
Article in English | Scopus | ID: covidwho-1912689

ABSTRACT

This reflective essay discusses how Southwest University (China) created an innovative international partnership initiative with universities in Australia, New Zealand, and the U.S. during the global pandemic. It articulates the context of the initiative, agreement establishment, program implementation, and lessons learned. This reflection aims to provoke deep thinking of how transformative international cooperation could help impact higher education internationalization. © Journal of International Students.

16.
Acta Medica Mediterranea ; 38(3):1471-1476, 2022.
Article in English | Scopus | ID: covidwho-1912456

ABSTRACT

Objective: To investigate the effect of the coronavirus disease 2019 (COVID-19) pandemic on patients with liver abscess associated with type 2 diabetes mellitus (T2DM). Methods: Data about consecutive cases of T2DM-associated liver abscess diagnosed and treated during the pandemic (January-April 2020) or earlier (January-April in 2017-2019) were compared. Results: A total of 177 patients (122 men;median age, 66 years;124 treated in 2017-2019 and 53 treated in 2020) were included in the study. Antibiotic therapy alone led to abscess resolution in 75 patients;the remaining 102 patients underwent successful abscess aspiration (n=56) or drain placement (n = 46). The mean random plasma glucose (15.9±2.7 vs 12.7±2.7 mmol/L;P<0.001), fasting plasma glucose (11.4±2.0 vs 10.6±2.0 mmol/L;P=0.017), and glycosylated hemoglobin A1c (9.1%±1.5% vs 7.8%±0.9%;P<0.001) levels at the presentation were higher among patients treated in 2020 than among those treated earlier. The mean interval between symptom onset and presentation was shorter for patients treated in 2020 (36.5±7.2 hours) than for those treated earlier (50.4±17.4 hours;P<0.001). The mean interval between presentation and diagnosis was longer among patients treated in 2020 (18.4±9.9 hours) than among those treated earlier (11.3±4.9 hours;P<0.001). Conclusions: The COVID-19 pandemic may have promoted the occurrence of liver abscess among patients with poorly controlled T2DM, and control measures for the pandemic may have led to delays in diagnosis. © 2022 A. CARBONE Editore. All rights reserved.

17.
12th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP) ; : 52-55, 2021.
Article in English | English Web of Science | ID: covidwho-1883137

ABSTRACT

The outbreak of COVID-19 calls for the improvement of infectious disease dynamics model to meet the requirements of future infectious disease's prediction and risk assessment. On the basis of SEIR model, a new transmission dynamics model named as SSEIR is proposed. In order to describe the dynamics evolution of the SSEIR model, a new set of ordinary differential equations (ODE) is constructed. The SSEIR dynamics model is used to simulate and predict the progress of pandemic situation inWuhan, China. Because that the suspected people have different dynamics characteristics from the susceptible people and the exposed people, this paper put them in a new independent category. To describe the dynamics evolution of SSEIR model, a new set of ordinary differential equations (ODE) is constructed. The SSEIR model can be used to simulate and predict the progress of infectious diseases.

18.
2022 International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2022 ; : 406-410, 2022.
Article in English | Scopus | ID: covidwho-1874298

ABSTRACT

Web-based intelligent update design of the sports comprehensive quality evaluation support system (CQESS) with Aptana Studio under COVID-19 is studied in the paper. According to the background research, it is found that the current research on access constraints mostly adopts the methods of dynamic communication scheduling, static communication scheduling and communication scheduling protocol, and often ignores the random characteristics of access constraints. Hence, the dynamic network model is chosen as the target. Due to the advantages of basic non-volatile, byte addressing and high performance of persistent memory, researchers have then made the in-depth exploration of it from various aspects and the Aptana Studio is considered as the implementation platform. The ntelligent update design of sports comprehensive quality evaluation support system is implemented, and the related testing is then conducted to present the systematic performance. © 2022 IEEE.

19.
Embase; 2021.
Preprint in English | EMBASE | ID: ppcovidwho-337392

ABSTRACT

The coronavirus disease 2019 (COVID-19) has been ravaging throughout the world for more than two years and has severely impaired both human health and the economy. The causative agent, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) employs the viral RNA-dependent RNA polymerase (RdRp) complex for genome replication and transcription, making RdRp an appealing target for antiviral drug development. Here, we reveal that RdRp can recognize and utilize nucleoside diphosphates (NDPs) as a substrate to synthesize RNAs with an efficiency of about two thirds of using nucleoside triphosphates (NTPs) as a substrate. NDPs incorporation is also template-specific and has high fidelity. Moreover, RdRp can incorporate β-d-N4-hydroxycytidine (NHC) into RNA while using diphosphate form molnupiravir (MDP) as a substrate. We also observed that MDP is a better substrate for RdRp than the triphosphate form molnupiravir (MTP).

20.
2021 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2021 ; : 320-326, 2021.
Article in English | Scopus | ID: covidwho-1832583

ABSTRACT

Various measures have been taken to prevent the spread of COVID-19. Even with widespread vaccination, the control of the epidemic is still difficult due to the mutation of the virus. When an epidemic breaks out, the simplest and most efficient method of control is still social isolation, which greatly affects daily lives and mobility patterns. To study mobility patterns, we leveraged mobile base station data in Shulan, China, during the epidemic. Our main discoveries are as follows: (1) With the development of COVID-19, travel volumes and the scopes of trips were gradually reduced. (2) In addition to the government's prevention policy, media coverage of COVID-19 had a huge impact on mobility patterns. (3) Previous studies focused on morning and evening rush hours. However, our results show that humans tend to intensively travel at noon. (4) The travel network was significantly more active in the early stages of the COVID-19 outbreak;hence, the possibility of disease transmission was greater. (5) With the development of the epidemic, travel intervals became increasingly longer, and the number of contacts between base stations decreased. (6) By analyzing the temporal path length, we found that some nodes were still active during the epidemic. © 2021 ACM.

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