Research on the Relationship between Teacher Expectations and College Students' Online English Learning Engagement

As a critical influencing factor of learning engagement, teacher expectation plays a vital role in ensuring the quality of online teaching under COVID-19. This paper investigates the relationship between teacher expectations (three dimensions of teacher support, teaching interaction, and academic feedback) on students' online English learning engagement (three dimensions of cognitive engagement, behavioral engagement, and emotional engagement) in e-learning through a questionnaire survey of 513 college students. Pearson correlation analysis and multiple regression analysis were applied as research methods. The results manifest that college students' online English learning engagement was above average, but emotional engagement needs improvement. In addition, teacher expectations of teaching interaction positively and significantly predict English e-learning engagement. Based on this, the article puts forward suggestions on the future of online teaching from the aspects of online teaching design, feedback quality of teachers and students, innovative teaching practice of technology empowerment to effectively play the role of teachers as scaffolding and improve the effectiveness of online English teaching. © 2023 IEEE.

Examining the Association between Pre-service Teachers' Self-efficacy and TPACK Competencies in Online Internships under COVID-19

During the COVID-19 pandemic, pre-service teachers must devote time and effort to familiarizing themselves with the online educational internship system and adapting their pedagogy to the new internship mode that integrates information and communication technologies. Under such a circumstance, teachers' technological pedagogical content knowledge (TPACK) plays a critical role in making them competent in online internships, and their self-efficacy can facilitate their TPACK development. Based on the data collected from 202 pre-service teachers during the COVID-19 pandemic in China through online surveys, this study investigated the association between their self-efficacy and their TPACK during the online internship. The results of multiple regression analyses suggested that pre-service teachers' personal and general teaching efficacies significantly predicted TPACK competencies to varying degrees. To be specific, pre-service teachers' personal teaching efficacy significantly and positively predicted all the TPACK dimensions;meanwhile, GTE only significantly and positively predicted Pedagogical Knowledge (PK), Technological Content Knowledge (TCK), Technological Pedagogical Knowledge (TPK), and Technological Pedagogical Content Knowledge (TPCK). Also, the conclusions, implications, and suggestions for theory and practice were discussed. © 2023 IEEE.

Measuring College Students' Satisfaction with the Teaching Effectiveness of Online English Courses Based on the IPA Model

The English learning ability and academic performance of pre-service teachers affect the future professional development of preschool and primary education teachers. The English course has been transferred to online due to COVID-19. Whether the practicability of e-learning is consistent with students' expectations primarily affect teaching effectiveness. A paired-sample t-test on the importance and satisfaction of online English learning effectiveness of pre-service teachers from freshmen to juniors at a private university revealed no significant difference in the overall importance and satisfaction. Then the coordinated system is constructed according to the Importance -Performance Analysis (IPA) to identify the critical indicators for improving the teaching effect of online courses. The results imply that network stability and teachers' timely responses to students' questions should be concentrated. In addition, students are pretty satisfied with the e-learning platform, teaching quality and management, which should be further maintained. The suggestions for improving the effectiveness of online English teaching in private universities are proposed accordingly. © 2023 IEEE.

Numerical simulations of the targeted delivery of the inhalable drug in pulmonary airway of a COVID-19 patient

The COVID-19 has spread throughout the world.The number of COVID-19 patients still increase rapidly worldwide.The treatment of the COVID-19 patients attracts attention of the researchers.Diagnosis and Treatment Protocol for COVID-19 indicates that atomization inhalation of Alpha-interferon could be used for the antiviral therapy.To explore the possible method for enhancing the effectiveness of the inhalation treatment,numerical simulation was applied to analyze the treatment of a patient with moderate COVID-19 symptoms.Based on the spiral CT scan images on admission,we analyzed the severity of the lung segments.The geometry of the lung was reconstructed according to the lung segmentations.Drug delivery simulations for droplets with different diameters were carried out at low inhalation flow rate (15 L/min).The numbers of the droplets deposited in the airway those delivered into the deeper lung regions were recorded.The relationship between the initial locations of the droplets and their final destinations were obtained.The results indicate that the overall deep lung delivery efficiency of the droplets decreases with the increase of the Stokes number.The delivery efficiency could be significantly increased,if the droplets could be released from two circular areas at the inlet.This investigation proves that the targeted delivery of the inhalable drug is possible. © 2022 Editorial Office of Chinese Journal of Computational Mechanics. All rights reserved.

Specificity of 2019-nCoV nucleic acid detection kit (fluorescence PCR)

Objective To evaluate the specificity of three consecutive batches of 2019-nCoV nucleic acid detection kit (fluorescence PCR) manufactured by Shanghai GeneoDx Biotech Co., LTD. Methods A total of 55 common respiratory pathogens, including endemic human coronaviruses (HKU1, OC43, NL63 and 229E), severe acute respiratory syndrome conronavirus (SARS-CoV), Middle East respiratory syndrome coronavirus (MERS), seasonal influenza virus, rhinovirus, adenovirus, Klebsiella pneumonia and Mycobacterium tuberculosis, were grouped and used for verification of cross reactivity of the detection kit. According to the requirements in the Key Points of Technical Review for Registration of 2019 New Coronavirus Nucleic Acid Detection Reagents issued by Center for Medical Device Evaluation, National Medical Products Administration (NMPA), human mucoprotein, human blood, phenylephrine, oxymetazoline, sodium chloride (including those as preservatives) and other 29 interfering substances were selected to verify the anti-interference substances of this kit. Results In the verification for cross reactivity, the test results of mixed positive samples by the three consecutive batches of kit were positive, while those of negative samples were negative, indicating a coincidence rate of accuracy of 100%. The cross-reactive substances showed no effect on the test result by the kit. All the test results of positive and borderline positive samples were positive, while those of negative samples were negative, indicating a coincidence rate of accuracy of 100%. All the 29 kinds of endogenous / exogenous interfering substances showed no influence on the test results by this kit. Conclusion Hie new coronavirus 2019-nCoV nucleic acid detection kit (fluorescence PCR method) manufactured by Shanghai GeneoDx Biotech Co., LTD. showed no cross-reactivity with 55 common respiratory pathogens, while showed anti-interference properties against endogenous and exogenous interfering substances such as host tissue, common respiratory pathogen and common drugs for respiratory diseases in clinic. The specificity test result of the kit met the requirements for registration of 2019 new coronavirus nucleic acid detection reagents. The test results of three consecutive batches of kits were highly stable. Copyright © 2021 Changchun Institute of Biological Products. All rights reserved.

The effects of the recommended prescription for COVID-2019-lung-spleen qi deficiency on in vitro SARS-CoV-2 replication and pro-inflammatory factors expression

Aim To determine the antiviral and anti-inflammatory effects of the recommended prescription for COVID-2019-lung-spleen qi deficiency(4-1)against in vitro infection of SARS-CoV-2 and common coronaviruses.Methods The main chemical substances of 4-1 were analyzed by LC-MS.The toxicity and antiviral effects of of 4-1 were detected by MTT and by CPE assay, respectively.The viral loads in cell supernatant and the expression of inflammatory factors induced by viral infection were determined by qRT-PCR.Results The recommended prescription 4-1 contained 94 chemical compounds, including flavonoids, steroids, sesquiterpenoids, and so on.The range of selection indexes for SARS-CoV-2 and common coronaviruses was 8.44+/-0.49~52.26+/-2.3.This prescription could inhibit the proliferation of SARS-CoV-2, the expression of ACE2 and S mRNA, and down regulate IL-1alpha and CCL-5/RANTES at 10, 5, and 2.5 g*L-1 doses.Further, at doses of 20, 10 and 5 g*L-1, it could inhibit the proliferation of three common coronaviruses and suppress the overexpression of IL-6, CXCL-8/IL-8, CXCL-10/IP-10, TNF-alpha, IFN-alpha, CCL-2/MCP-1, MIG and CCL-5/RANTES induced by OC43/229E infection.The inhibitory effects were dose-dependent.Conclusions The prescription 4-1 has antiviral and anti-inflammation effects against multiple coronaviruses.This study provides the research basis for the treatment of common respiratory viral infections and emerging infectious diseases such as COVID-19 by using traditional Chinese medicine. Copyright © 2022 Publication Centre of Anhui Medical University. All rights reserved.

Characteristics of PM2.5 concentration and water-soluble ions in the typical town of southern Gansu

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.

Direct visualization of single-cell non-repetitive genes by in situ activation of collateral activity of CRISPR/Cas12a inside cells

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.

Research on the Construction Method of Knowledge Graph

With the continuous innovation of Internet technology, the explosive growth of information has become one of its most obvious characteristics, and how to break through the problem of data storage has become an urgent challenge to be solved. The knowledge graph proposed by Google can intuitively describe the relationship between entities in the objective world in the form of a graph, which is of great help in solving this problem. Firstly, the basic concept of knowledge graph is expounded, and include the key steps of knowledge extraction, knowledge fusion, knowledge storage, etc. Taking the relationship between confirmed cases of the coronavirus disease 2019(COVID-19) in a certain city over the recent period as an example, a knowledge graph of case relationship is constructed. The results indicated that the knowledge graph intuitively shows the transmission path of the epidemic, which can provide certain help for the effective prevention and control of the epidemic. © VDE VERLAG GMBH - Berlin - Offenbach.

APPLICATION OF VIDEO MONITORING SYSTEM TO PREVENT SARS-COV-2 INFECTION

Objective: Discussion of the application effect of Video Monitoring System (VMS) to prevent SARS-CoV-2 infection during taking off personal protective equipment (PPE) in the designated hospital for coronavirus disease 2019 (COVID-19) patients. Method: Monitoring system, alarm system was installed in the buffer area of taking off PPE, with monitoring, guidance, and supervision by special personnel. Comparison with the effect of arranging dedicated staff for monitoring. Result: By application of video monitoring system, the infection prevention and control problems, as well as potential risks by process of taking off PPE, can be timelier discovered, compared with the traditional monitoring method of arranging dedicated staff, the number of non-conforming cases of taking off PPE within two weeks significantly reduced and the efficiency drastically increased. Conclusion: The video monitoring system plays a very effective role in preventing SARS-CoV-2 infection during the process of personal protective equipment taking off. Timely implementation of video monitoring system management can effectively avoid the risks caused by nonstandard PPE taking off and secure the safety of Healthcare personnel.

Epidemiological and molecular characteristics of SARS-CoV-2 Delta variant-caused pneumonia in Henan Province in 2021

Objective To analyze and summarize the epidemiological and molecular characteristics of SARS-CoV-2 Delta variant, a variant of concern (VOC), in Henan Province in 2021 in order to provide a basis for epidemic prevention and control. Methods According to the feedback of sequencing results from Chinese Center for Disease Control and Prevention, 111 patients infected with SARS-CoV-2 Delta VOC were selected from the Henan imported and local cases in 2021. Basic patient information was obtained from the pandemic website. The differences in age, gender, vaccination history, the number of vaccine doses and different clinical types were analyzed. Moreover, the differences in RT-qPCR results of ORF1ab gene and N gene Ct values between cases of different genders and symptoms were analyzed statistically. Sequencing results of the nucleotide and S protein mutation sites were analyzed. Results There was no significant difference in the gender distribution of 111 cases between different age groups (χ2 = 2. 217, P = 0. 529). There was also no significant difference in clinical types between patients with different vaccination history (χ2 = 12. 074, P = 0. 209). The Ct values of most SARS-CoV-2 nucleic acid-positive specimens were distributed in the lower range and the viral loads were higher. The difference in the Ct value of ORF1ab gene between different gender groups was not statistically significant (χ2 = 1. 646, P = 0. 439), but were significantly different among asymptomatic, mild, normal, and severe cases (χ2 = 13. 257, P = 0. 039). There was no significant difference in N gene Ct value among cases of different genders or different symptoms (all P>0. 05). The 111 patients in this study were mainly found through close-contact screening and full-staff nucleic acid screening and accounted for 62. 2% (69 cases) of the total. The sequencing length coverage was basically greater than 99% (accounting for 90. 1%, 100 / 111);the total number of nucleotide mutation sites was mostly in the range of 46-50 (86. 4%, 89 / 103);the total number of S protein mutation sites was mostly 12 (82. 5%, 85 / 103). The 103 Delta mutants all contained nine mutation sites, which were T19R, R158G, L452R, T478K, D614G, P681R, D950N, E156del and F157del, with a mutation rate of 100%. Conclusions People were highly susceptible to the SARS-CoV-2 Delta in Henan Province in 2021. High viral load and increase in the ORF1ab gene load would aggravate the clinical symptoms.

Specificity of 2019-nCoV nucleic acid detection kit (fluorescence PCR)

Objective To evaluate the specificity of three consecutive batches of 2019-nCoV nucleic acid detection kit (fluorescence PCR) manufactured by Shanghai GeneoDx Biotech Co., LTD. Methods A total of 55 common respiratory pathogens, including endemic human coronaviruses (HKU1, OC43, NL63 and 229E), severe acute respiratory syndrome conronavirus (SARS-CoV), Middle East respiratory syndrome coronavirus (MERS), seasonal influenza virus, rhinovirus, adenovirus, Klebsiella pneumonia and Mycobacterium tuberculosis, were grouped and used for verification of cross reactivity of the detection kit. According to the requirements in the Key Points of Technical Review for Registration of 2019 New Coronavirus Nucleic Acid Detection Reagents issued by Center for Medical Device Evaluation, National Medical Products Administration (NMPA), human mucoprotein, human blood, phenylephrine, oxymetazoline, sodium chloride (including those as preservatives) and other 29 interfering substances were selected to verify the anti-interference substances of this kit. Results In the verification for cross reactivity, the test results of mixed positive samples by the three consecutive batches of kit were positive, while those of negative samples were negative, indicating a coincidence rate of accuracy of 100%. The cross-reactive substances showed no effect on the test result by the kit. All the test results of positive and borderline positive samples were positive, while those of negative samples were negative, indicating a coincidence rate of accuracy of 100%. All the 29 kinds of endogenous / exogenous interfering substances showed no influence on the test results by this kit. Conclusion Hie new coronavirus 2019-nCoV nucleic acid detection kit (fluo¬rescence PCR method) manufactured by Shanghai GeneoDx Biotech Co., LTD. showed no cross-reactivity with 55 common respiratory pathogens, while showed anti-interference properties against endogenous and exogenous interfering substances such as host tissue, common respiratory pathogen and common drugs for respiratory diseases in clinic. The specificity test result of the kit met the requirements for registration of 2019 new coronavirus nucleic acid detection reagents. The test results of three consecutive batches of kits were highly stable.

Translational PET imaging evaluation of [18F]Favipiravir by positron emission tomography

Objectives: With over 90 million cases reported in the globe, the COVID-19 pandemic caused by SARS-CoV-2 has been a serious public health crisis. Development of novel and specific antiviral drugs against the SARS-CoV-2 has been an urgent demand. One such drug is Favipiravir, initially developed as an antiviral drug against influenza. Now Favipiravir has received approvals for emergency use against SARS-CoV-2 in many countries. A better understanding of Favipiravir’s biodistribution and pharmacokinetics in vivo will facilitate the clinical development of antiviral drugs against the SARS-CoV-2. Herein, we reported the evaluation of [18 F]Favipiravir with PET in cross-species studies to demonstrate the drug’s biodistribu-tion and pharmacokinetics and investigate the potentially increased risk of neurodegenerative diseases and/or neuroinflammation to COVID-19. Methods: The radiosynthesis of [18 F]Favipiravir was via labeling a commercially available precursor, methyl-5-chloroisoxazolo[4,5-b] pyrazine-3-carboxylate with K[18F]F/K222 and K2CO3 in DMSO at 130°C for 10 min, followed by hydrolysis with NaOH (aq.) at 110°C for 15 min.1 The whole body distribution on CD-1 mice was performed at four time points (5, 15, 30, 60 min). PET studies were carried out in CD-1 mice and AD mice (5XFAD) and naïve rhesus monkeys. We also performed the radiometabolite analysis of [18 F]Favipiravir in plasma and brain of CD-1 mice at 30 min post-injection. Results: [18 F]Favipiravir was obtained in 29% isolated radiochemi-cal yield (decay corrected). The radiochemical purity of the tracer was greater than 99%. No sign of radiolysis was observed for [18F] Favipiravir up to 120 min after formulation with 10% EtOH/saline. High radioactivity accumulation was observed in blood, lung, liver, kidney, and bone (around or more than 5% ID/g, injected dose per gram of wet tissue). The radioactivity level reached a plateau in small intestine, kidney and liver at 30,15 and 5 min, respectively, followed by slow washout, indicating that [18F]Favipiravir was possibly eliminated via the hepatobiliary and urinary pathway. For the radio-metabolic analysis of [18F]Favipiravir, average 41% and 89% of the radioactivity was parent fraction in the mice brain and plasma at 30 min post-injection (n=2), respectively. In PET imaging of CD-1 mice, the standard uptake value (SUV) of [18F]Favipiravir in brain reached its max value of 0.5 at 10 min and slowly reduced to 0.4 at 60 min. The results of PET imaging of AD mice with [18 F]Favipiravir were similar with that of CD-1 mice. In PET imaging of Rhesus monkeys, the brain uptake of [18 F]Favipiravir reached the max value of 0.5 SUV at 5 min and subsequently decreased to 50-60% of the maximum at 60 min. Conclusion: The evaluation of [18F]Favipiravir has demonstrated with bio-distribution and PET in mice and NHPs. Further evaluation of pharmacokinetics of [18F]Favipiravir in whole body monkey scans and LPS-induced neuroinflammation models is underway.

AdaGT: An Adaptive Group Testing Method for Improving Efficiency and Sensitivity of Large-Scale Screening Against COVID-19

The ongoing coronavirus disease 2019 (COVID-19) is a pandemic causing millions of deaths, devastating social and economic disruptions. Testing individuals for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the pathogen of COVID-19, is critical for mitigating and containing COVID-19. Many countries are implementing group testing strategies against COVID-19 to improve testing capacity and efficiency while saving required workloads and consumables. A group of individuals' nasopharyngeal/oropharyngeal (NP/OP) swab samples is mixed to conduct one test. However, existing group testing methods neglect the fact that mixing samples usually leads to substantial dilution of viral ribonucleic acid (RNA) of SARS-CoV-2, which seriously impacts the sensitivity of tests. In this paper, we aim to screen individuals infected with COVID-19 with as few tests as possible, under the premise that the sensitivity of tests is high enough. To achieve this goal, we propose an Adaptive Group Testing (AdaGT) method. By collecting information on the number of positive and negative samples that have been identified during the screening process, the AdaGT method can estimate the ratio of positive samples in real-time. Based on this ratio, the AdaGT algorithm adjusts its testing strategy adaptively between an individual testing strategy and a group testing strategy. The group size of the group testing strategy is carefully selected to guarantee that the sensitivity of each test is higher than a predetermined threshold and that this group contains at most one positive sample on average. Theoretical performance analysis on the AdaGT algorithm is provided and then validated in experiments. Experimental results also show that the AdaGT algorithm outperforms existing methods in terms of efficiency and sensitivity.

Impact of COVID-19 on India's Public Health from 2019 to 2021

Influenced by the COVID-19 pandemic, the current healthcare system in India is in disorder and the health of the social population cannot be guaranteed without enough data to prove. This paper aims to assess the overall impact of the COVID-19 pandemic on the health system in India, as well as the socio-economic and psychological impact of the pandemic. Literature review was adopted to conduct factor assessment and analysis, and all data from 2019 to 2021 were selected from scientific literature, real-time report and Local News. The focus of reference was the patient's experience during COVID-19 lockdown. During the COVID-19 blockade in India, a large proportion of the population had difficulty in accessing health care, and a certain proportion of the bottom of society faced difficulties accessing medicines. More than half of India's population reported loss of income and jobs, and most of the population with primary diseases had no access to normal primary health care. Social stability was broken, and the gap between the rich and the poor exacerbated racial discrimination. As a result, people at the basic level of Indian society suffering from psychological pain, are unable to live a normal life and get medical and hospitalization services. India's health care system is in a state of disarray due to the COVID-19 pandemic, and the shortage of medical supplies will have a direct impact on the health of the entire population. It has an impact on the economic development, social class and population balance of the current Indian society. © 2021 IEEE.

Emerging roles of extracellular vesicles in mediating RNA virus infection

The sudden outbreak of COVID-19 has once again shrouded people in the enormous threat of RNA virus. Extracellular vesicles (EVs), eukaryotic cells-derived small bi-layer vesicles mainly consisting of exosomes and microvesicles, share many properties with RNA viruses including structure, size, generation, and uptake. Emerging evidence has implicated the involvement of EVs in the pathogenesis of infectious diseases induced by RNA viruses. EVs can transfer viral receptors (e.g., ACE2 and CD9) to recipient cells to facilitate viral infection, directly transport infectious viral particles to adjacent cells for virus spreading, and mask viruses with a host structure to escape immune surveillance. Here, we examine the current status of EVs to summarize their roles in mediating RNA virus infection, together with a comprehensive discussion of the underlying mechanisms. © 2021

Analyze the impact of the epidemic on New York taxis by machine learning algorithms and recommendations for optimal prediction algorithms

With the growth of the economy and population, the transportation infrastructure of cities faces various challenges such as lacks of parking spots and traffic jams. One of the alternatives is to take public transport combined with proper utilization of demand-responsive transport such as Taxi or Uber. Therefore, it is valuable to improve the efficiency of these responsive transport. This research evaluates the predicting performance of different prediction models such as GBDT, XGBoost, and Random forest on taxi trip duration. At the same time, new elements were added to the modified data to contribute a higher accuracy rate including the snow status and precipitation data. Moreover, exploratory data analysis and data mining was conducted taking concerns of the Covid-19 effect of the year 2020. © 2021 ACM.

Design and engineering application of medical oxygen supply system in novel coronavirus pneumonia treatment hospital

Respiratory supporting, as an important medical treatment for new coronavirus pneumonia patients, must be effectively guaranteed by medical oxygen supply. However, the medical oxygen system designed and configured by the existing hospitals according to the current specifications cannot meet the oxygen needs for patients with new coronavirus pneumonia. This paper aimed to study the design of medical oxygen system in new coronavirus pneumonia emergency hospital. By investigating the oxygen treatment plan for the novel coronavirus pneumonia patients in the health emergency hospital, the oxygen treatment characteristics of different patients were studied. The oxygen characteristics of different respiratory support terminals were explored to study the oxygen demands of new coronavirus pneumonia emergency hospitals. Through calculating flow rates of medical gas system air source referring to 'technical code for medical gases engineering', the proportion coefficient of severe patients converted into respiratory distress patients was introduced, and the model of calculating flow rates of medical oxygen system air source in emergency hospital was proposed. The cases were verified in a typical health emergency hospital that the developed calculation flow model of medical oxygen source met the demands of hospital oxygen. The outcomes provide a reference for the design and construction of medical oxygen in such health emergency hospitals.

Evaluation of the application effect of online mindfulness-based cognitive therapy in the health management of elderly patients with copd during the novel coronavirus pneumonia epidemic

The aim of this paper is to evaluate the effectiveness of the application of online mindfulness-based cognitive therapy to elderly patients with chronic obstructive pulmonary disease during the lockdown period due to the COVID-19 epidemic. From January 23, 2020 to March 30, 2020, one hundred and thirteen elderly patients with stable COPD were selected as participants of the research, and a WeChat group was used for mindfulness-based cognitive therapy. CAT and mMRC were used to compare the symptoms and health status of patients before and after the epidemic lockdown. After the epidemic lockdown, the cough symptoms, energy status, total score and mMRC score in the CAT questionnaire were lower than before the epidemic lockdown, and the difference was statistically significant (p<0.05). During the epidemic lockdown, the use of WeChat groups to conduct mindfulness-based cognitive therapy for elderly patients with chronic obstructive pulmonary disease can help alleviate panic, improve patients' self-management behavior, and enhance the quality of life and health of patients. © 2021, ASCR Press. All rights reserved.

Construction of emergency laboratory medicine system of newly-built infectious disease hospitals in the context of COVID-19 pandemic

During the COVID-19 pandemic, the laboratory department plays an important role in diagnosis, treatment, curative effect evaluation and prognosis assessment of emerging infectious diseases. It is of great importance that Huoshenshan Hospital, the designated hospital for COVID-19, was able to set up and carry out routine laboratory tests and Coronavirus nucleic acid test quickly and efficiently. This paper aims to summarize the experience of the emergent inspection and support system in Huoshenshan Hospital and provide ideas and references for the construction of the emergent inspection and support system in other newly built infectious disease hospitals.