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1.
Talanta ; 252, 2023.
Article in English | Web of Science | ID: covidwho-2069714

ABSTRACT

Since the last century, animal viruses have posed great threats to the health of humans and the farming industry. Therefore, virus control is of great urgency, and regular, timely, and accurate detection is essential to it. Here, we designed a rapid on-site visual data-sharing detection method for the Newcastle disease virus with smartphone recognition-based immune microparticles. The detection method we developed includes three major modules: preparation of virus detection vectors, sample detection, and smartphone image analysis with data upload. First, the hydrogel microparticles containing active carboxyl were manufactured, which coated nucleocapsid protein of NDV. Then, HRP enzyme-labeled anti-NP nanobody was used to compete with the NDV antibody in the serum for color reaction. Then the rough detection results were visible to the human eyes according to the different shades of color of the hydrogel microparticles. Next, the smartphone application was used to analyze the image to determine the accurate detection results according to the gray value of the hydrogel microparticles. Meanwhile, the result was automatically uploaded to the homemade cloud system. The total detection time was less than 50 min, even without trained personnel, which is shorter than conventional detection methods. According to experimental results, this detection method has high sensitivity and accuracy. And especially, it uploads the detection information via a cloud platform to realize data sharing, which plays an early warning function. We anticipate that this rapid on-site visual data-sharing detection method can promote the development of virus selfchecking at home.

2.
2nd International Conference on Digital Signal and Computer Communications, DSCC 2022 ; 12306, 2022.
Article in English | Scopus | ID: covidwho-2019667

ABSTRACT

Accurate identification of parameters is critical to the epidemiological utility of the results obtained from the COVID-19 transmission model. In order to optimize the model parameters, we propose an adaptive Cauchy quantum particle swarm optimization (QPSO) algorithm. We introduce a piecewise Cauchy mutation operator and the mutation probability is adjusted adaptively according to the fitness to enhance the global search ability of QPSO. The experimental results show that the improved QPSO algorithm has higher accuracy than original QPSO and PSO algorithms. © 2022 SPIE.

3.
Chemical Engineering Journal ; 451, 2023.
Article in English | Web of Science | ID: covidwho-2014984

ABSTRACT

The spread of drug-resistance bacteria is a serious issue of environment. Tools allowing to image single-cell genes can provide key information about the spatial pattern and heterogeneity of cell population. Herein, we explored the possibility of in situ activation of collateral trans-cleavage activity of CRISPR/Cas12a inside cells, to achieve a direct detection of single-cell non-repetitive genes. CRISPR/Cas12a allows to recognize target genes without the need for denaturation or digestion process. Particularly, the target gene-activated trans-cleavage by CRISPR/ Cas12a inside cells outputs an amplified signal for the gene recognition, allowing to visualize non-repetitive genes. The signal-to-background ratio for imaging drug-resistance gene, oqxB in the Salmonella enterica subsp. enterica serovar Typhimurium (S. Typhimurium) was further improved by combining multiple binding of Cas12a, enabled imaging of drug-resistance S. Typhimurium isolated from poultry farm and in the intestinal tract sec-tions. Single-cell investigation of S. Typhimurium under salt stress indicated that drug-sensitive strain owned a survival advantage over drug-resistance strain at high-content salt environment. This gene imaging methods holds potential for detecting the spread of drug resistance in the environment and serves as a means to inves-tigate the relationship between genotype and phenotype at single-cell level.

4.
Asia Pacific Journal of Marketing and Logistics ; : 30, 2022.
Article in English | Web of Science | ID: covidwho-1853320

ABSTRACT

Purpose This study investigated whether there are differences in the effects of green traditional media communication (GTMC) and green social media communication on consumers' intention to cocreate green value (ICGV) in post-COVID-19 China. The authors further tested the chain mediating role of cocreation efficacy and cocreation outcome expectation and the moderating role of perceived CSR image. Design/methodology/approach Using a survey, we collected a dataset of 683 consumers through stratified random sampling in main shopping malls in four Chinese cities. Structural equation modeling (SEM) was used to test the conceptual framework and hypotheses, and bootstrapping was used to estimate the mediated standardized regression coefficients. Multiple linear regression analysis was used to test the moderating effect. Findings GTMC, firm-created content (FCC), and user-generated content (UGC) all had positive effects on ICGV. Cocreation efficacy and cocreation outcome expectation had a chain mediation effect in GTMC and ICGV, UGC, and ICGV. Perceived CSR image positively moderated the effects of both GTMC and FCC on ICGV. However, perceived CSR image did not significantly moderate the relationship between UGC and ICGV. Originality/value This study contributes to our understanding of the effect of green media communication on consumers' ICGV in post-COVID-19 China. It also develops the concepts of cocreation efficacy and cocreation outcome expectation. Moreover, analyzing the chain mediating role of cocreation efficacy and cocreation outcome expectation in green media communication and ICGV extends social cognitive theory to the context of green value cocreation. Finally, examining the moderating role of perceived CSR image provides a basis for understanding the boundary conditions of green media communication's effect on ICGV.

5.
PubMed; 2022.
Preprint in English | PubMed | ID: ppcovidwho-329282

ABSTRACT

COVID 19 is the disease caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2;SC2) which has caused a world-wide pandemic with striking morbidity and mortality. Evaluation of SC2 strains demonstrated impressive genetic variability and many of these viral variants are now defined as variants of concern (VOC) that cause enhanced transmissibility, decreased susceptibility to antibody neutralization or therapeutics and or the ability to induce severe disease. Currently, the delta (delta) and omicron (o) variants are particularly problematic based on their impressive and unprecedented transmissibility and ability to cause break through infections. The delta variant also accumulates at high concentrations in host tissues and has caused waves of lethal disease. Because studies from our laboratory have demonstrated that chitinase 3-like-1 (CHI3L1) stimulates ACE2 and Spike (S) priming proteases that mediate SC2 infection, studies were undertaken to determine if interventions that target CHI3L1 are effective inhibitors of SC2 viral variant infection. Here we demonstrate that CHI3L1 augments epithelial cell infection by pseudoviruses that express the alpha, beta, gamma, delta or omicron S proteins and that the CHI3L1 inhibitors anti-CHI3L1 and kasugamycin inhibit epithelial cell infection by these VOC pseudovirus moieties. Thus, CHI3L1 is a universal, VOC-independent therapeutic target in COVID 19.

6.
18th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2021 ; : 87-94, 2021.
Article in English | Scopus | ID: covidwho-1678977

ABSTRACT

The COVID-19 pandemic has resulted in school closures all across the world, and lots of students have shifted from conventional classrooms to online learning. With the help of ICT technologies nowadays, learning online can be more effective in a number of ways. However, most of the online learning environments without instructors' attention may result in different learning patterns compared to the traditional face-to-face classroom. In this paper, we aimed at detecting the slide reading behaviors of the students by analyzing operational event logs from a digital textbook reader for a lecture offered in our university. We compared reading patterns between traditional face-to-face lectures and hybrid online lectures, our results show that online lectures lead to more off-task behaviors. Our analysis provides a rich understanding of e-book reading and informs design implications for online learning during the pandemic. The findings can also be used to improve the instruction designs and learning strategies. © 2021 Virtual Simulation Innovation Workshop, SIW 2021. All rights reserved.

7.
British Food Journal ; ahead-of-print(ahead-of-print):15, 2021.
Article in English | Web of Science | ID: covidwho-1583902

ABSTRACT

Purpose The COVID-19 outbreak has been rapidly spreading around the world for more than a year. However, few studies have explored the connection between the perceived severity of COVID-19 and purchase intention of the health-related products, for example, organic food. Based on the stimulus-organism-response (S-O-R) framework, this study examines the influencing mechanism of perceived severity of COVID-19 on purchase intention of organic food. Design/methodology/approach To evaluate the proposed model, an online survey was utilized to collect 1,104 valid questionnaires from China. Findings The findings suggest that (1) the perceived severity of COVID-19 has a significant positive impact on purchasing intention;(2) health consciousness acts as a mediating role between perceived severity of COVID-19 and purchasing intention and (3) perceived inconvenience negatively moderates the connection between perceived severity and purchase intention. Originality/value The findings of this paper provide new insights into the positive effects of COVID-19 and pave the way for governments and enterprises to promote the purchase behaviour of organic food.

10.
Basic & Clinical Pharmacology & Toxicology ; 128:164-164, 2021.
Article in English | Web of Science | ID: covidwho-1113053
11.
21st IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2020 ; : 31-36, 2020.
Article in English | Scopus | ID: covidwho-860073

ABSTRACT

It is foreseeable the popularity of the mobile edge computing enabled infrastructure for wireless networks in the incoming fifth generation (5G) and future sixth generation (6G) wireless networks. Especially after a 'hard' disaster such as earthquakes or a 'soft' disaster such as COVID-19 pandemic, the existing telecommunication infrastructure, including wired and wireless networks, is often seriously compromised or with infectious disease risks and should-not-close-contact, thus cannot guarantee regular coverage and reliable communications services. These temporarily-missing communications capabilities are crucial to rescuers, health-carers, or affected or infected citizens as the responders need to effectively coordinate and communicate to minimize the loss of lives and property, where the 5G/6G mobile edge network helps. On the other hand, the federated machine learning (FML) methods have been newly developed to address the privacy leakage problems of the traditional machine learning held normally by one centralized organization, associated with the high risks of a single point of hacking. After detailing current state-of-The-Art both in privacy-preserving, federated learning, and mobile edge communications networks for 'hard' and 'soft' disasters, we consider the main challenges that need to be faced. We envision a privacy-preserving federated learning enabled buses-And-drones based mobile edge infrastructure (ppFL-AidLife) for disaster or pandemic emergency communications. The ppFL-AidLife system aims at a rapidly deployable resilient network capable of supporting flexible, privacy-preserving and low-latency communications to serve large-scale disaster situations by utilizing the existing public transport networks, associated with drones to maximally extend their radio coverage to those hard-To-reach disasters or should-not-close-contact pandemic zones. © 2020 IEEE.

12.
Zhonghua Gan Zang Bing Za Zhi ; 28(2): 107-111, 2020 Feb 20.
Article in Chinese | MEDLINE | ID: covidwho-827835

ABSTRACT

Objective: To analyze the clinical characteristics of cases of novel coronavirus pneumonia and a preliminary study to explore the relationship between different clinical classification and liver damage. Methods: Consecutively confirmed novel coronavirus infection cases admitted to seven designated hospitals during January 23, 2020 to February 8, 2020 were included. Clinical classification (mild, moderate, severe, and critical) was carried out according to the diagnosis and treatment program of novel coronavirus pneumonia (Trial Fifth Edition) issued by the National Health Commission. The research data were analyzed using SPSS19.0 statistical software. Quantitative data were expressed as median (interquartile range), and qualitative data were expressed as frequency and rate. Results: 32 confirmed cases that met the inclusion criteria were included. 28 cases were of mild or moderate type (87.50%), and four cases (12.50%) of severe or critical type. Four cases (12.5%) were combined with one underlying disease (bronchial asthma, coronary heart disease, malignant tumor, chronic kidney disease), and one case (3.13%) was simultaneously combined with high blood pressure and malignant tumor. The results of laboratory examination showed that the alanine aminotransferase (ALT), aspartate aminotransferase (AST), albumin (ALB), and total bilirubin (TBil) for entire cohort were 26.98 (16.88 ~ 46.09) U/L and 24.75 (18.71 ~ 31.79) U/L, 39.00 (36.20 ~ 44.20) g/L and 16.40 (11.34 ~ 21.15) µmol/L, respectively. ALT, AST, ALB and TBil of the mild or moderate subgroups were 22.75 (16.31 ~ 37.25) U/L, 23.63 (18.71 ~ 26.50) U/L, 39.70 (36.50 ~ 46.10) g/L, and 15.95 (11.34 ~ 20.83) µmol/L, respectively. ALT, AST, ALB and TBil of the severe or critical subgroups were 60.25 (40.88 ~ 68.90) U/L, 37.00 (20.88 ~ 64.45) U/L, 35.75 (28.68 ~ 42.00) g/L, and 20.50 (11.28 ~ 25.00) µmol/L, respectively. Conclusion: The results of this multicenter retrospective study suggests that novel coronavirus pneumonia combined with liver damage is more likely to be caused by adverse drug reactions and systemic inflammation in severe patients receiving medical treatment. Therefore, liver function monitoring and evaluation should be strengthened during the treatment of such patients.


Subject(s)
Betacoronavirus , Coronavirus Infections , Pandemics , Pneumonia, Viral , Alanine Transaminase , Aspartate Aminotransferases , COVID-19 , Humans , Retrospective Studies , SARS-CoV-2
13.
J Dent Res ; 99(13): 1444-1452, 2020 12.
Article in English | MEDLINE | ID: covidwho-799594

ABSTRACT

During the coronavirus disease 2019 (COVID-19) pandemic, there is an important risk of infection in health care workers, including oral health care workers (OHCWs), due to the characteristics of dental practice. In this retrospective study, data pertaining to the 31 OHCWs diagnosed with COVID-19 in Wuhan, Hubei Province, were retrieved and analyzed. Questionnaires were administered to the subjects over the Internet and telephone. Clinical and epidemiological characteristics and information on the use of personal protective equipment (PPE) were collected. There were 22 females and 9 males, with a median age of 39 y. Although the severity of most cases of COVID-19 (93.5%) was mild or moderate, 1 case was severe, and another case was critical, resulting in death. Fever was the main first symptom of COVID-19, followed by fatigue and myalgia. Most of the OHCWs routinely used PPE such as medical masks, gloves, caps, and work clothes while performing clinical work. N95 or KN95 masks were rarely available because of the scarcity of PPE during the outbreak. Nineteen OHCWs reported a contact history, among whom 7 worked in a fever clinic, 5 reported contact with dental patients suspected of having COVID-19, and 7 reported contact with family members with COVID-19-related symptoms at least 1 d earlier. Our findings indicated that there were few clusters of COVID-19 in dental settings. Since the outbreak, the Hospital of Stomatology, Wuhan University, has provided emergency dental treatment, and none of their staff were infected while providing dental service, which indicates that comprehensive measures such as the use of advanced PPE and environmental disinfection can prevent cross-infection in dental practice. The analysis of the procedures followed during the emergency treatments indicated that OHCWs preferred to recommend conservative treatment to patients, suggesting that attention should be paid to the psychological impact of COVID-19 on dental practitioners.


Subject(s)
Coronavirus Infections/epidemiology , Dental Staff , Dentists , Pneumonia, Viral/epidemiology , Adult , Betacoronavirus , COVID-19 , Female , Humans , Male , Middle Aged , Pandemics , Retrospective Studies , SARS-CoV-2 , Young Adult
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