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1.
Chinese Veterinary Science / Zhongguo Shouyi Kexue ; 50(12):1500-1508, 2020.
Article in Chinese | CAB Abstracts | ID: covidwho-2040500

ABSTRACT

Based on the M gene sequence of TGEV and PEDV and VP2 gene sequence of PoRV, the optimal reaction system and amplification procedure were established by optimizing primer, probe concentration and annealing temperature, and the Quantitative PCR method of TaqMan probes for three viruses is successfully established. On this basis, after further optimization of conditions, a triple real-time fluorescent quantitative PCR method for detecting TGEV, PEDV, and PoRV was established. The detection sensitivity of this method for TGEV, PEDV, and PoRV were 2.49 copies/ L, 4.36 copies/ L, and 4.96 copies/ L respectively. The maximum value of CV in repeated trials detected by TGEV, PEDV and PoRV were 2.5%, 3.8%, 4.3%, and the maximum value of CV in repeated trials between groups were 3.7%, 3.4%, 3.2%, which are no more than 5%.indicating that the established method has good reproducibility. Using this method to detect PRV, PCV1, and PRRSV virus samples, there is no cross-reaction, indicating that the method is specific. Using the established method to detect 40 clinical diseases, the samples were tested, and the positive rates of TGEV, PEDV, and PoRV were 5%, 30%, and 12.5%respectively. The mixed infection rate of TGEV and PEDV was 2.5%, the mixed infection rate of PEDV and PoRV was 5%. The results of the multiple fluorescence quantitative PCR method are consistent with those of the detection of a single fluorescent RT-PCR method, indicating that the established method has good clinical application value.

2.
Foods ; 11(9):1269, 2022.
Article in English | ProQuest Central | ID: covidwho-1837672

ABSTRACT

Rice is one of the three major staple foods in the world, and the quality and safety of rice are related to the development of human beings. The new crown epidemic, pesticide residues, insect pests, and heavy metal pollution have a certain security impact on the food supply chain. The rice supply chain is characterized by a long life cycle;complex roles in the main links;many types of hazards;and multidimensional, multisource, and heterogeneous information. To strengthen the rice supply chain’s supervision ability under the epidemic situation, a supervision cross-chain model suitable for the complicated data of the rice supply chain based on parallel blockchain theory and smart contract technology was built. Firstly, the data collected in the rice supply chain and different types of data stored in different parallel blockchains were analyzed. Secondly, based on data analysis, a collection/supervision cross-chain mechanism based on “hash lock + smart contract + relay chain”, a concurrency mechanism based on the K-means algorithm and a Bloom filter, and a consensus mechanism suitable for multichain consensus named the Supervision Practical Byzantine Fault Tolerance (SPBFT) were proposed. Furthermore, a cross-chain model of rice supply chain supervision was constructed. Finally, theoretical verification and simulation experiments were used to analyze the operation process, safety, cross-chain efficiency, and scalability of the model. The results showed that the application of parallel blockchains and smart contracts to supervision of rice supply chain information improved the convenience and security of information interaction between various links in the rice supply chain, the storage cost of supply chain data and the high latency of interaction was reduced, and the refined management of the rice supply chain data and personnel was realized. This research applied new information technology to the coordination and resource sharing of the food supply chain, and provides ideas for the digital transformation of the food industry.

3.
Medicine (Baltimore) ; 99(47): e23225, 2020 Nov 20.
Article in English | MEDLINE | ID: covidwho-939606

ABSTRACT

BACKGROUND: The outbreak of a novel coronavirus (2019-nCoV)-infected pneumonia is currently ongoing all over the world. The treatment scheme is generally isolation treatment and symptomatic support treatment. While the majority of patients recover from this disease through methods above, COVID-19 Infection severely affect the physical and mental health of rehabilitation patients, as well as their living quality. Thus, meditative movement is needed to improve outcome of COVID-19 patients in recovery period. METHODS: We will conduct systematic searches to identify all relevant studies without any language limitation from the following electronic databases from inception to October 2020: Medline, Ovid, PubMed, Embase, Cochrane Library, Google Scholar, China National Knowledge Infrastructure (CNKI), Chinese Scientific Journals Database (VIP), Chinese Biomedical Database, Chinese Biomedical Literature Service System and Wan fang Database. At the same time, we will search the following Clinical trial registries to identify records of on-going or completed but not yet published trials, including WHO International Clinical Trials Registry Platform (ICTRP), Trials Register of Promoting Health Interventions (TRoPHI) and Chinese Clinical Trial Registry (ChiCTR). No limits will be placed on language. The article will study the effect of meditative movement on the quality of life of convalescent patients. The main outcome will be the effect of meditative movement on the quality of life of patients in recovery period. The secondary results will select accompanying symptoms (including myalgia, cough, sputum, runny nose, pharyngalgia, anhelation, chest distress, nausea, vomiting, anorexia, diarrhea), disappearance rate, negative COVID-19 results rate on 2 consecutive occasions (not on the same day), the quality of life improved, CT image improvement, average hospitalization time, occurrence rate of common type to severe form, clinical cure rate, and mortality. Data collection and management 3 authors will independently carry out data from eligible studies in a pretested and standardized Microsoft Excel sheet, with reciprocal validation of data extraction results. Data analysis and quantitative data synthesis will be performed using RevMan software (V.5.3). RESULTS: The findings of the study will provide new and relatively high-quality evidence in meditative movement treatment for COVID-19. CONCLUSION: The conclusion of systematic review will provide evidence to judge whether meditative movement is an effective intervention for patient with COVID-19 in recovery period. PROSPERO REGISTRATION NUMBER: CRD42020210256.


Subject(s)
Betacoronavirus , Coronavirus Infections/rehabilitation , Exercise Movement Techniques/methods , Meditation/methods , Pneumonia, Viral/rehabilitation , Quality of Life , COVID-19 , Coronavirus Infections/psychology , Female , Humans , Male , Meta-Analysis as Topic , Pandemics , Pneumonia, Viral/psychology , Research Design , SARS-CoV-2 , Systematic Reviews as Topic , Treatment Outcome
4.
BMJ Open ; 10(11): e041790, 2020 11 10.
Article in English | MEDLINE | ID: covidwho-919177

ABSTRACT

INTRODUCTION: Scholars believe that COVID-19 can be particularly lethal for patients with cancer. Some studies found that COVID-19 appears to be more lethal in patients with lung cancer than in other cancer patients. In order to take appropriate measures to balance a delay in lung cancer treatment against the risk for a potential COVID-19 exposure, we first need to know whether patients with lung cancer have special risks. We aim to conduct a systematic review and meta-analysis to examine differences in terms of presentation and outcomes between patients with lung cancer as opposed to other solid organ cancer after infection with SARS-CoV-2. METHODS AND ANALYSIS: A comprehensive search of published original research studies will be performed in Embase, MEDLINE, Web of Science, WangFangData, CQVIP, COMPENDEX and CNKI. The medRxiv preprint server will also be searched for applicable studies (grey literature). Original research studies will be included if they include patients with: (A) laboratory-confirmed SARS-CoV-2 infection and (B) confirmed solid cancer, and (C) measurable clinical presentation or outcome, such as mortality rate, intensive care unit admission rate, incidence of pneumonia. One author will conduct the electronic database searches, two authors will independently screen studies, two will extract data and two will assess study quality. If I² exceeds 60% for the pooled analysis, we will explore sources of heterogeneity in subgroups of studies. We will use fixed-effect, random-effects or mixed-effects models to estimate the relative risk or OR. If the data reporting allows, a subgroup analysis between non-small cell lung cancer and small cell lung cancer patients will be performed. ETHICS AND DISSEMINATION: The proposed study will not collect individual-level data and, therefore, does not require ethical approval. We will submit our findings to a peer-reviewed scientific journal and will disseminate results through presentations at international scientific conferences. PROSPERO REGISTRATION NUMBER: CRD42020190118.


Subject(s)
Coronavirus Infections/physiopathology , Lung Neoplasms/epidemiology , Neoplasms/epidemiology , Pneumonia, Viral/physiopathology , Betacoronavirus , COVID-19 , Case-Control Studies , Comorbidity , Coronavirus Infections/mortality , Humans , Intensive Care Units/statistics & numerical data , Meta-Analysis as Topic , Pandemics , Pneumonia, Viral/mortality , SARS-CoV-2 , Systematic Reviews as Topic
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