COVID-VTS: Fact Extraction and Verification on Short Video Platforms

We introduce a new benchmark, COVID-VTS, for fact-checking multi-modal information involving short-duration videos with COVID19-focused information from both the real world and machine generation. We propose, TwtrDetective, an effective model incorporating cross-media consistency checking to detect token-level malicious tampering in different modalities, and generate explanations. Due to the scarcity of training data, we also develop an efficient and scalable approach to automatically generate misleading video posts by event manipulation or adversarial matching. We investigate several state-of-the-art models and demonstrate the superiority of TwtrDetective. © 2023 Association for Computational Linguistics.

An Improved COVID-19 Lung X-Ray Image Classification Algorithm Based on ConvNeXt Network

Aiming at the new coronavirus that appeared in 2019, which has caused a large number of infected patients worldwide due to its high contagiousness, in order to detect the source of infection in time and cut off the chain of transmission, we developed a new Chest X-ray (CXR) image classification algorithm with high accuracy, simple operation and fast processing for COVID-19. The algorithm is based on ConvNeXt pure convolutional neural network, we adjusted the network structure and loss function, added some new Data Augmentation methods and introduced attention mechanism. Compared with other classical convolutional neural network classification algorithms such as AlexNet, ResNet-34, ResNet-50, ResNet-101, ConvNeXt-tiny, ConvNeXt-small and ConvNeXt-base, the improved algorithm has better performance on COVID dataset.

Investigation of COVID-19 vaccination among elderly adults in long-term care facilities and analysis of influencing factors.

Objective To understand the status of COVID-19 vaccination among elderly adults in long-term care facilities and analyze the influencing factors so as to provide scientific basis for improving the policy of COVID-19 vaccination. Methods The socio-demographic characteristics, disease-related data, disability, and COVID-19 vaccination status of 575 elderly adults who resided in long-term care facilities in Shaanxi Province were collected via Sojumpin in January 2022. Factors that affected non-vaccinated elderly adults were analyzed by using the SPSS 25.0 software. Results Of the included 575 participants, 199 (34. 6%) were not vaccinated against COVID-19. Univariate analysis showed that COVID-19 vaccination was associated with age, room type, length of stay, marital status, number of children, chronic diseases (i.e., diabetes, stroke, dementia), disability degree, and long-term medication use. Logistic regression analysis demonstrated that age of 90 years or above (OR =4. 25), triple room (OR = 6.17), moderate disability (OR = 2. 94), severe disability (OR =6. 67), long-term medication use (OR = 1.81), and stroke (OR =1. 74) were independent risk factors for not injecting COVID-19 vaccine. Conclusion The COVID-19 vaccination coverage rate of elderly adults in long-term care facilities needs to be improved, and more attention should be paid to the high-risk groups (e.g., who are older, and have disability, long-term medication use, or stroke).Copyright © 2023 Xi'an Medical University. All rights reserved.

Reactive Air Disinfection Technologies: Principles and Applications in Bioaerosol Removal

As COVID-19 and other infectious diseases continue to spread globally, removing airborne pathogens from confined spaces such as buildings, transportation carriers, and stations is becoming increasingly crucial to curbing transmission and reducing human infection rates. Bioaerosols can act as vectors or media that could store and transport air pollutants and pathogens. To mitigate the adverse effects of bioaerosols and effectively control epidemics, this work reviews the current state-of-the-art air purification processes and technologies available on the market or demonstrated in laboratory and industrial settings, including ozone oxidation, UV disinfection, and photocatalysis. These reactive air purification processes can be used in conjunction with adsorption or filtration-based systems to enhance disinfection besides the physical capture of particulates or the removal of volatile organic compounds (VOCs). This review aims to provide a concise yet comprehensive overview of various reactive air purification technologies. Their principles, applications, and limitations are briefly discussed to provide insight and guidelines for further development of new air purification processes to address emerging airborne contaminant issues. © 2023 American Chemical Society.

Efficacy and safety of arbidol in the treatment of novel coronavirus pneumonia: a systematic review based on current and previous antiviral therapy.

Objective: To systematically evaluate the efficacy and safety of arbidol in the treatment of novel coronavirus pneumonia (COVID-19). Method(s): Randomized controlled trials (RCTs), cohort studies, and case-control studies on the efficacy and safety of arbidol for COVID-19, influenza, andother respiratory virus infections were collected by searching related database at home and abroad and network platform for preprint of Health Science Papers (medRxiv) (up to April 25, 2020). Quality of the enrolled studies was evaluated by bias risk assessment tool of Cochrane collaboration network and Newcastle-Ottawa Scale (NOS). Meta-analysis and descriptive analysis of relevant outcome indicators were performed using RevMan 5.3 software. Result(s): A total of 15 studies were enrolled in the study, including 7 cohort studies with high-quality and 8 RCTs, 6 of which were with low bias risk and the other 2 of which were with medium bias risk. Among these studies, 8 were on arbidol treatment for COVID-19, including 5 retrospective cohort studies, 2 prospective cohort studies, and 1 RCT, and involving 809 patients (479 patients in the arbidol group and 330 in the control group);7 were RCTs on arbidol treatment for influenza or other respiratory virus infections, involving 1 471 patients (745 patients in the arbidol group and 726 in the control group).In these studies, patients were treated with arbidol (0.15-1.2 g daily for 5-21 d) in the arbidol group while with the other antiviral agents or without any antiviral drug in the control group. Meta analysis on the efficacy and safety of arbidol in treatment for COVID-19 showed that the novel coronavirus (2019-nCoV) nucleic acid negative conversion rate in the arbidol group was significantly higher than that in the control group [71.7% (109/152) vs. 58.8% (94/160), relative risk (RR)=1.30, 95% confidence interval (CI): 1.01-1.67, P=0.04];the difference of time taken for 2019-nCoV nucleic acid negative conversion between the 2 groups was not statistically significant (standardized mean difference=-0.17, 95%CI: -0.72-0.38, P=0.55);the difference of disease improvement rate shown by chest CT on day 7 after treatment between the 2 groups was not statistically significant [46.2% (30/65) vs. 50.7% (36/71), RR=0.88, 95%CI: 0.39-1.98, P=0.76];and the difference of incidence of adverse reactions between the 2 groups was not statistically significant [16.9% (39/231) vs. 19.2% (47/245), risk difference (RD)=-0.03, 95%CI: -0.10-0.04, P=0.44]. Meta analysis on the safety of arbidol in treatment for influenza and other respiratory virus infections showed that the incidence of adverse reactions in the arbidol group was significantly lower than that in the control group [5.9% (44/745) vs. 11.3% (82/726), RR=0.52, 95%CI: 0.37-0.74, P<0.01]. Conclusion(s): Arbidol could effectively increase the 2019-nCoV nucleic acid negative conversion rate and it might be safe to treat COVID-19 using arbidol.Copyright © 2020 by the Chinese Medical Association.

Investigation of COVID-19 vaccination among elderly adults in long-term care facilities and analysis of influencing factors.

Objective To understand the status of COVID-19 vaccination among elderly adults in long-term care facilities and analyze the influencing factors so as to provide scientific basis for improving the policy of COVID-19 vaccination. Methods The socio-demographic characteristics, disease-related data, disability, and COVID-19 vaccination status of 575 elderly adults who resided in long-term care facilities in Shaanxi Province were collected via Sojumpin in January 2022. Factors that affected non-vaccinated elderly adults were analyzed by using the SPSS 25.0 software. Results Of the included 575 participants, 199 (34. 6%) were not vaccinated against COVID-19. Univariate analysis showed that COVID-19 vaccination was associated with age, room type, length of stay, marital status, number of children, chronic diseases (i.e., diabetes, stroke, dementia), disability degree, and long-term medication use. Logistic regression analysis demonstrated that age of 90 years or above (OR =4. 25), triple room (OR = 6.17), moderate disability (OR = 2. 94), severe disability (OR =6. 67), long-term medication use (OR = 1.81), and stroke (OR =1. 74) were independent risk factors for not injecting COVID-19 vaccine. Conclusion The COVID-19 vaccination coverage rate of elderly adults in long-term care facilities needs to be improved, and more attention should be paid to the high-risk groups (e.g., who are older, and have disability, long-term medication use, or stroke).Copyright © 2023 Xi'an Medical University. All rights reserved.

Strategies for general surgery related issues in the treatment of critically ill patients diagnosed with COVID-19.

In order to improve the cure rate of critically ill patients in Wuhan epidemic area and reduce the fatality rate, the state have dispatched medical staffs from the whole country to support Wuhan and treat critically ill patients in dedicated facilities. A medical team from the First Affiliated Hospital of Xi'an Jiaotong University, consisting of 133 medical staffs major in critical care medicine, respiralogy, infection, cardiology, and general surgery, entirely took over the critical care unit of the East Hospital of the Renmin Hospital of Wuhan University, and formed a multidisciplinary collaboration team with local medical staffs to treat patients together. Up to March 13th in 2020, the author's medical team has admitted a total of 109 patients, of which 48 had been discharged up on recovery. Critically ill patients with Corona Virus Disease 2019 mainly have elder age, comorbidities, complicated conditions, and difficult diagnosis and treatment. The author and the author's team combined with clinical practice, share experience and strategies of general surgery related issues in the treatment of critically ill patients, providing reference for collegues in general surgery.Copyright © 2020 by the Chinese Medical Association.

The application value of low-dose CT scan in pregnant women with COVID-19.

Objective: To explore the value of low-dose CT in pregnancy with COVID-19. Method(s): A retrospective analysis was performed on the clinical characteristics, laboratory tests, and chest CT findings of 12 pregnant women with COVID-19 diagnosed by nucleic acid testing in the Renmin Hospital of Wuhan University from January 20, 2020 to February 16, 2020. Two radiologists blinded to the reconstruction algorithm independently scored subjective image quality on a 5-point Likert scale. Image quality score >= 3 was acceptable in clinics. The CT radiation doses were recorded, including CT volume dose index (CTDIvol), dose length product (DLP), and effective radiation dose (E). Two radiologists observed the distribution, shape, density, and other characteristics of lung lesions, and they also decided whether hilar, mediastinal lymphadenopathy, and pleural changed. Result(s): A total of 12 pregnant women with COVID-19, 8 had cough, 4 had fever, 2 had chest tightness, and 1 had dyspnea and diarrhea each. The CT image quality score of all patients was 3-4, with an average of 3.46, which fully met the clinical diagnosis requirements. The CTDIvol value was 1.13-4.31 mGy, with an average of 3.02 mGy. The DLP value was 34.48-75.29 mGy*cm, with an average of 55.48 mGy*cm. The Evalue was 0.48-1.05 mSv, with an average of 0.78 mSv. In all cases, chest CT examination showed abnormal manifestations after clinical symptoms, including unilateral lung lesions in 5 cases and bilateral lung lesions in 7 cases, 1 case of ground-glass opacity, 1 case of solidification, 7 cases of ground-glass and consolidation, 1 case of strip opacity, ground-glass, and consolidation and strip cable shadow coexisted in 2 cases. Conclusion(s): The application of low-dose CT scan in pregnant women with COVID-19 is completely feasible. CT mainly manifested as bilateral lung patchy and flaky ground-glass opacity with consolidation. Active and effective treatment can help recover and improve prognosis.Copyright © 2020 by the Chinese Medical Association.

Analysis of Students' Online Learning Engagement during the COVID-19 Pandemic: A Case Study of a SPOC-Based Geography Education Undergraduate Course

With the long-lasting impact of the COVID-19 pandemic, online learning has gradually become one of the mainstream learning methods in Chinese universities. The effectiveness of online learning is significantly influenced by learning engagement, and studies into this topic can help learners by providing them with process-based learning support and focused teaching interventions. Based on the online learning environment, this research constructs an online learning engagement analysis model. Additionally, this study explores the relationship between students' online learning engagement and their online learning performance by taking the Secondary School Geography Curriculum Standards and Textbooks Research, a small-scale private online course (SPOC) of the geography education undergraduate course at Nanjing Normal University, as an example. The findings are as follows: In the cognitive engagement dimension, only "analyze” is significantly positively correlated with learning performance;in the behavioral engagement dimension, the "number of question and answer (Q&A) topic posts,” the "replies to others,” and the "teachers' replies” are all significantly positively correlated with learning performance. In terms of the emotional engagement dimension, "curiosity” and "pleasure” are positively correlated with learning performance;as for the social engagement dimension, "point centrality” and "intermediary centrality” are positively correlated with learning performance. The findings of this case study reveal that the student's engagement in higher-order cognitive learning is obviously insufficient. Students' online learning performance can be enhanced both by behavioral engagement in knowledge reprocessing and positive emotional engagement. Further research should be focused on finding ways to increase students' enthusiasm for social engagement. © 2023 by the authors.

A Review of Deep Learning Imaging Diagnostic Methods for COVID-19

COVID-19 (coronavirus disease 2019) is a new viral infection disease that is widely spread worldwide. Deep learning plays an important role in COVID-19 images diagnosis. This paper reviews the recent progress of deep learning in COVID-19 images applications from five aspects;Firstly, 33 COVID-19 datasets and data enhancement methods are introduced;Secondly, COVID-19 classification methods based on supervised learning are summarized from four aspects of VGG, ResNet, DenseNet and Lightweight Networks. The COVID-19 segmentation methods based on supervised learning are summarized from four aspects of attention mechanism, multiscale mechanism, residual connectivity mechanism, and dense connectivity mechanism;Thirdly, the application of deep learning in semi-supervised COVID-19 images diagnosis in terms of consistency regularization methods and self-training methods. Fourthly, the application of deep learning in unsupervised COVID-19 diagnosis in terms of autoencoder methods and unsupervised generative adversarial methods. Moreover, the challenges and future work of COVID-19 images diagnostic methods in the field of deep learning are summarized. This paper reviews the latest research status of COVID-19 images diagnosis in deep learning, which is of positive significance to the detection of COVID-19. © 2023 by the authors.

Analysis of vitamin D nutritional status among children aged 0 to 12 years in Chongqing

Objective To investigate the nutritional status and associated factors of vitamin D among children aged 0 to 12 years old in Chongqing. Methods From January 2019 to December 2021 1 877 children aged 0-6 years who received regular child health care were randomly selected from Chongqing maternal and child health hospital and 707 school-age children were also selected from three primary school in Chongqing for investigation. The serum sample were collected for detecting serum 25- OH -D level by chemiluminescence method and the possible influencing factors of vitamin D deficiency VDD were analyzed. Results The average serum 25- OH -D concentration of children was 39.9±9.1 ng/mL with the positive rate of VDD was 14.59%. There were significant differences of VDD positive rate in different age visiting time visiting season body shape outdoor activity time and vitamin D supplementation 0-3 years old vs 4-6 years old vs 7-12 years old 14.73% vs 22.19% vs 10.47% visiting season spring vs summer vs autumn vs winter 12.97% vs 10.65% vs 14.86% vs 21.33% pre COVID-19 epidemic vs post COVID-19 epidemic 11.18% vs 17.08% underweight or normal vs overweight or obesity 12.34% vs 26.13% adequate outdoor activity time vs inadequate 11.84% vs 16.27% regular vitamin D supplementation vs irregular vitamin D supplementation 11.71% vs 15.62% χ2 = 26.17 17.59 30.98 53.74 9.60 6.17 P<0.05. Underweight or normal body weight sufficient outdoor activities and regular vitamin D supplementation were associated with less vitamin D deficiency with OR OR95%CI at 0.68 0.55-0.84 0.57 0.25-0.77 and 0.62 0.44-0.85 P<0.05. Conclusion The prevalence of VDD among preschool and school-age children is high in Chongqing. Integrated prevention and control strategies incluing overweight or obesity control increasing outdoor activities and oral vitamin D supplements should be taken. © 2022 Authors. All rights reserved.

Keep concentrated and carry on: redesigning supply chain concentration in the face of COVID-19

The global COVID-19 outbreak has led to significant challenges for supply chain management, while insights on how to configure the supply chain network to respond to this crisis are limited. Therefore, the present research extends the understanding of supply chain resilience by investigating whether supply chain concentration has influenced the shock of COVID-19 on firm performance. This study assesses four sub-dimensions of supply chain concentration: supplier, customer, product, and region. Based on a large-scale sample of Chinese listed manufacturing firms, we employed a difference-in-difference approach to investigate whether supply chain concentration ameliorated or exacerbated the shock of COVID-19. The results indicate that treatment groups (firms with lower supplier, customer, product, and region concentration) have experienced a considerably more significant performance deterioration than control firms. Overall, this study paves the way for future research and offers vital insights into the redesign of supply chains in response to COVID-19 and similar crises. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

Forced choice? Is bullying pushing non-binary students into cyber schools?

Little research addresses the schooling experiences of non-binary students;no prior work explores their experiences in cyber schools. Using unique data from a US multi-state cyber charter school, we compare the factors parents of non-binary students and parents of other students stated as reasons for leaving their prior schools to attend a cyber charter school in fall 2019 (before the COVID-19 pandemic). Despite a small sample size, we found statistically significant differences, with parents of non-binary students two to three times more likely to indicate mental health, safety, and bullying related concerns as motivating their choice of cyber schooling. There were no significant differences regarding physical health, and few involving academic concerns. We also note implications, and directions for future research. © 2023 Educational Review.

Rapid on-site PEDV detection using homogeneous fluorescence resonance energy transfer-based ELISA

The porcine epidemic diarrhea virus (PEDV) is a major pathogen of swine enteric diseases. Various etiology and serological methods have been employed for PEDV detection, but most of their applications are limited to lab-oratories. To extend PEDV detection to on-site applications, we design a homogeneous fluorescence resonance energy transfer (FRET)-based enzyme-linked immunosorbent assay (ELISA). Both donor and acceptor fluores-cence microspheres modified PEDV antibodies can be linked only to the occurrence of PEDV antigen, thus generating FRET signals, which can be collected by our designed portable FRET immunoassay station (FRETIS). Verified by standard samples, FRET immunoassay reached high sensitivity with a detection limit as TCID50 (median tissue culture infective dose) of 10/mL, which is 10 times more sensitive than colloidal gold test strips;and verified by clinical samples, it was also proved with high accuracy, good selectivity, and repeatability. More importantly, FRET immunoassay could detect PEDV in a 96-well plate in 35 min with only one step of incubation without any further washing steps using field-portable devices and field-operable procedures, well supporting on -site applications. Considering these advantages, this reported FRET immunoassay provides a promising way for multi-sample on-site PEDV detection and can be potentially used in the swine industry.

[Epidemiological characteristics of an epidemic of 2019-nCoV Omicron variant infection in Beijing].

Objective: To analyze the epidemiological characteristics and transmission chain of an epidemic of COVID-19 in Haidian district, Beijing. Methods: Descriptive epidemiological method was used to analyze the epidemiological characteristics of the epidemic, and field investigation and big data technology were used to analyze the transmission chain of the epidemic. Results: From April 27 to May 13, 2022, an epidemic of COVID-19 occurred in Haidian district. The strains isolated from the cases were identified by whole genome sequencing as Omicron variant (BA.2.2 evolutionary branch). A total of 38 infection cases were detected, including 34 confirmed cases and 4 asymptomatic cases. Most cases were mild ones (88.2%), no severe, critical or death cases occurred. The early clinical symptoms were mainly sore throat (50.0%) and cough (29.4%). The epidemic lasted for 17 days, resulting in 7 generations of the cases and involving 3 community transmissions, 2 working place transmissions and 8 family transmissions; the main infection routes were co-residence (47.6%) and co-space exposure (31.6%). The intergenerational interval M(Q1, Q3)was 3 (1, 6) days. The overall secondary attack rate was 1.5% (37/2 482), and the family secondary attack rate was 36.7% (18/49). Conclusions: The cases in this COVID-19 epidemic caused by Omicron variant had mild clinical symptoms, but the case clustering in families and communities was obvious, the transmission was rapid, and the risk for co-space exposure was high. It is necessary to use information technology to identify close contacts in the local population for the rapid and effective blocking of the epidemic spread.

Research on factors of marine ranch leisure fisheries development based on multiple orderly logit model

Based on the survey of 43 Marine ranches and 260 consumers, this paper uses the diversified and orderly Logit model to study the significant factors affecting the development of recreational fishery in Marine ranches.The study found that six factors, including consumer gender, individual economic strength, consumer demand for Marine pasture products, brand construction level of Marine pasture recreational fishery, online channel promotion level of Marine pasture recreational fishery and the impact of COVID-19 epidemic, had a significant impact on the development of Marine pasture recreational fishery.This paper divides tower into product development and brand building, marketing and daily operation three dimensions, suggest operators improve the level of recreational fishery product development and brand building, develop differentiation price, develop online channels, strengthen the whole process communication, innovation under the outbreak of daily operation mode, expand the market share, so as to enhance the competitiveness of Marine pasture recreational fishery. © 2022 SPIE.

COVID-19 Pandemic Prediction using Machine Learning Methods

In this paper, we aim to predict the cases of covid-19 pandemic according to linear regression model and random forest model. We decide to try to predict the virus using the daily high and low temperatures because it is one of the biggest factors that can affect the spread and death of the virus.we decide to use days_num, vaccine_days, and ma_temp_high as features.Cases and deaths as labels. We find that that the virus surely has some relationship with temperature. If the theory turns out to be true, in the future, adjusting control efforts based on temperature could greatly improve efficiency and save money. Reduce ineffective expenditures and improve the quality of prevention and control. © 2022 SPIE.

Is a consumer loan a catalyst for confidence?

In the context of the global economic downturn, the approach guided by consumer loans (CL) to boost consumer confidence is a feasible way to promote the internal circulation of the Chinese economy. Therefore, we use a time-varying rolling-window approach to identify how CL affects the consumer confidence index (CCI). We find that CL can be seen as vital support for promoting confidence because it can ease liquidity constraints and improve consumption levels. The empirical outcome is supported by the Rational Expectations Perpetual Income Hypothesis (RE-PIH), emphasizing that increasing CL can boost consumer confidence. Conversely, CCI has both positive and negative effects on CL. The positive effects suggest that consumers’ optimistic confidence leads them to increase borrowing, which in turn creates a heavier debt burden. This statement cannot be supported by the negative effect due to consumers’ blind self-confidence will cause cognitive bias, which is not conducive to the loan market development. Against the backdrop of increased global uncertainty due to the COVID-19 pandemic and the government’s continuous adjustment of loan policies, consumers can effectively optimise their consumption decision-making through borrowing. The policymaker can maintain loan stability by effectively promoting consumer confidence and raising the consumption level of the whole society. © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.