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1.
Acta Veterinaria et Zootechnica Sinica ; 53(9):2819-2832, 2022.
Article in Chinese | EMBASE | ID: covidwho-2080952

ABSTRACT

The 13th Five-Year National Key Research and Development Program has established a key project of "Prevention and Control of Major Animal Diseases, Efficient and Safe Husbandry Technology Research and Development" (Animal Project), which supported scientific and technological innovation research in the field of animal epidemic prevention and control, efficient and safe breeding and breeding environment treatment. This project carried out the design of "whole chain design and integrated implementation" according to basic research, key technology research and development and integrated demonstration to solve the important basic theory and technical bottleneck of animal breeding in China. Based on the method of bibliometric, a statistical analysis was conducted of the papers supported mainly by the project to master the research progress and hot spots of the special project in basic research and frontier theory. Moreover, the future key research direction and development trend in the field of animal husbandry and veterinary medicine was discussed in combination with the layout of animal husbandry and veterinary related projects in the 14th Five-Year Plan. The results showed that this special funded papers had achieved breakthrough research in the basic research fields of major animal diseases and zoonotic diseases such as the COVID-19, Zika virus and African Swine Fever Achievements: Agriculture-related universities and scientific research institutes cooperate closely and have made great contributions;International cooperation is not only with the United States and other developed countries, but also closely cooperated with developing countries such as Pakistan and Egypt related to the "Belt and Road" initiative. The probability of publishing high-quality papers which cooperated with scientific research teams in developed countries has increased significantly;Research hotspots mainly focus on epidemiology, pathogen replication and evolution, drug resistance, pathogen and host interaction and network regulation, immune and pathogenic mechanisms, cross-species transmission, etc. The livestock and poultry special project focuses on the research direction of the prevention and control of major livestock and poultry diseases and efficient and safe breeding, and has made important research progress in major basic theories, supporting the research and application demonstration of key core technologies. The 14th Five-Year National Key Research and Development Program will make a comprehensive layout in the field of animal seed industry innovation, prevention and control of animal diseases, purification and eradication, nutrition regulation and efficient breeding, waste resource utilization and green breeding, breeding equipment and intelligent breeding. Copyright © 2022 Editorial Board, Institute of Animal Science of the Chinese Academy of Agricultural Sciences.

2.
IEEE Sensors Journal ; : 1-1, 2022.
Article in English | Scopus | ID: covidwho-2078237

ABSTRACT

A new and reliable method has been constructed for detecting severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) open reading frames 1ab (ORF1ab) gene via highly sensitive electrochemiluminescence (ECL) biosensor technology based on highly efficient asymmetric polymerase chain reaction (asymmetric PCR) amplification strategy. This method has used magnetic particles coupled with biotin labeled one complementary nucleic acid sequence of the SARS-CoV-2 ORF1ab gene as the magnetic capture probes, and Ru(bpy)<sub>3</sub>2+ labeled amino modified another complementary nucleic acid sequence as the luminescent probes, and then a detection model of magnetic capture probes–asymmetric PCR amplification nucleic acid products-Ru(bpy)<sub>3</sub>2+ labeled luminescent probes is formed, which combines the advantages of highly efficient asymmetric PCR amplification strategy and highly sensitive ECL biosensor technology, enhancing the method sensitivity of detecting the SARS-CoV-2 ORF1ab gene. The method enables the rapid and sensitive detection of the ORF1ab gene and has a linear range of 1~106 copies/μL, a regression equation of Y = 534.942X + 2919.301 (R = 0.9983, <italic>N</italic> = 7), and a limit of detection (LOD) of 1 copy/μL. In summary, it can meet the analytical requirements for simulated saliva and urine samples and has the benefits of easy operation, reasonable reproducibility, high sensitivity, and anti-interference abilities, which can provide a reference for developing efficient field detection methods for SARS-CoV-2. IEEE

3.
International Journal of Strategic Property Management ; 26(4):258-271, 2022.
Article in English | Scopus | ID: covidwho-2055485

ABSTRACT

In the current hotel sales trend due to COVID-19 pandemic, few empirical studies have discussed hotel appraisal determinants and prioritization in terms of operational efficiency. This paper presents an innovative approach for appraisal practice efficiency based on hotel appraisal approach and the multiple criteria decision making (MCDM). The DANP-mV model is used to identify the determinants related to actual hotel appraisal practices, including the techniques of the decision-making trial and evaluation laboratory (DEMATEL), DEMATEL-based ANP (DANP), and modified VIKOR. The result of influential network relationship map (INRM) and the gaps of determinants to the aspiration level may contribute to improving hotel appraisal efficacy. In practice, the “discounted cash flow” becomes the most influential determinant (di-mension) and the “market survey” is the most manageable one. More findings together with an action plan are presented and useful in the real world. Therefore, this innovative approach could help hotel appraisers and related parties, such as hospitality managers, investors, lenders, and decision makers, better manage the evaluation determinants of hotel appraisal efficacy. © 2022 The Author(s).

4.
Facets ; 7:1199-1213, 2022.
Article in English | Web of Science | ID: covidwho-2042873

ABSTRACT

Atypical disease presentations are common in older adults with COVID-19. The objective of this study was to determine the prevalence of atypical and typical symptoms in older adults with COVID-19 through progressive pandemic waves and the association of these symptoms with in -hospital mortality. This retrospective cohort study included consecutive adults aged over 65 years with confirmed COVID-19 infection who were admitted to seven hospitals in Toronto, Canada, from 1 March 2020 to 30 June 2021. The median age for the 1786 patients was 78.0 years and 847 (47.5%) were female. Atypical symptoms (as defined by geriatric syndromes) occurred in 1187 patients (66.5%), but rarely occurred in the absence of other symptoms (n = 106;6.2%). The most common atypical symptoms were anorexia (n = 598;33.5%), weakness (n = 519;2 3.9%), and delirium (n = 449;25.1%). Dyspnea (adjusted odds ratio [aOR] 2.05;95% confidence interval [CI] 1.62-2.62), tachycardia (aOR 1.87;95% CI 1.14-3.04), and delirium (aOR 1.52;95% CI 1.18-1.96) were inde-pendently associated with in-hospital mortality. In a cohort of older adults hospitalized with COVID-19 infection, atypical presentations frequently overlapped with typical symptoms. Further research should be directed at understanding the cause and clinical significance of atypical presenta-tions in older adults.

5.
Frontiers in Pediatrics ; 10, 2022.
Article in English | EMBASE | ID: covidwho-2032816

ABSTRACT

Coronavirus disease 2019 (COVID-19) is currently widely spread across the world. Traditional Chinese Medicine (TCM) plays an important role in the overall treatment process. As a special group of population, the treatment outcome of children with COVID-19 has attracted much attention. Our study summarizes the current situation of TCM treatment of children with COVID-19. The results showed that TCM displayed a positive role in the treatment process, and that no significant adverse reactions were found. Our findings provide analytical evidence for the efficacy and safety of TCM participation in the treatment of COVID-19 in children.

6.
Archives of Clinical Neuropsychology ; 37(6):1274-1274, 2022.
Article in English | Web of Science | ID: covidwho-2017722
7.
Innovation in Aging ; 5:688-688, 2021.
Article in English | Web of Science | ID: covidwho-2011850
8.
BMJ Open ; 12(9), 2022.
Article in English | PMC | ID: covidwho-2009223

ABSTRACT

Objective: This survey study is designed to understand the impact of the COVID-19 pandemic on stress among specific subpopulations of college students. Design, settings and participants: An online questionnaire was sent to the students from University of Nevada, Las Vegas, between October 2020 and December to assess the psychological impact of COVID-19. A total of 2091 respondents signed the consent form online and their responses were collected. Main outcome measures: Measures of psychological stress, as prescribed by the Perceived Stress Scale (PSS-10). An explanatory factor analysis was carried out on the PSS-10 results. We subsequently analysed each factor using stepwise linear regression that focused on various sociodemographic groups. Results: A two-factor model was obtained using the explanatory factor analysis. After comparing with the past studies that investigated the factor structure of the PSS-10 scale, we identified these two factors as ‘anxiety’ and ‘irritability’. The subsequent stepwise linear regression analysis suggested that gender and age (p<0.01) are significantly associated with both factors. However, the ethnicities of students are not significantly associated with both factors. Conclusions: To our knowledge, this is the first study that assessed the perceived stress of university students in the USA during the COVID-19 pandemic. Through exploratory factor analysis, we showed that the PSS-10 scale could be summarised as a two-factor structure. A stepwise regression approach was used, and we found both of the factors are significantly associated with the gender of the participants. However, we found no significant association between both factors and ethnicity. Our findings will help identify students with a higher risk for stress and mental health issues in pandemics and future crises.

9.
Medicine Today ; 23(5):59-61, 2022.
Article in English | EMBASE | ID: covidwho-2003320

ABSTRACT

With the winter season approaching and recommencement of international travel in 2022, influenza and COVID-19 vaccination will be crucial for protecting individuals from infection and reducing healthcare burden. Current Australian guidelines recommend influenza and COVID-19 vaccines can be coadministered, highlighting an important opportunity for disease prevention by GPs.

10.
Computer Science and Information Systems ; 19(2):639-658, 2022.
Article in English | Scopus | ID: covidwho-1993709

ABSTRACT

The spread of fake news on online media is very dangerous and can lead to casualties, effects on psychology, character assassination, elections for political parties, and state chaos. Fake news that concerning Covid-19 massively spread during the pandemic. Detecting misinformation on the Internet is an essential and challenging task since humans face difficulty detecting fake news. We applied BERT and GPT2 as pre-trained using the BiGRU-Att-CapsuleNet model and BiGRU-CRF features augmentation to solve Fake News detection in Constraint @ AAAI2021-COVID19 Fake News Detection in English Dataset. This research proved that our hybrid model with augmentation got better accuracy compared to our baseline model. It also showed that BERT gave a better result than GPT2 in all models;the highest accuracy we achieved for BERT is 0.9196, and GPT2 is 0.8986. © 2022, ComSIS Consortium. All rights reserved.

11.
22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2022 ; : 230-238, 2022.
Article in English | Scopus | ID: covidwho-1992571

ABSTRACT

Both 5G Internet and COVID-19 pandemic have increasingly prompted thousands of companies and organizations to shift from a centralized office model to a distributed home model, which poses a new requirement: how to securely and rapidly share private data for coworkers on Internet. The covert communication systems are widely used to deliver private information because of the possibility of extending the system to Internet-scale size. However, most existing systems are inadequate to solve the requirement, since either the servers in centralized systems face the risk of being monitored and infiltrated, or the multi-hop routing schemes in decentralized systems lead to diverse attacks and high delivery latency. To this end, we proposed a scalable covert communication service for coworkers, called SC2. For security and hiddenness, we adopt the content slicing and multichannel routing to prevent adversary from monitoring and analyzing data. For scalability, we design a two-hop logic overlay to support low latency routing, and an adaptive channel selction technique to exploit the available bandwidth of the system. To evaluate the performance of SC2, we deploy the system in various IoT clouds and storage clouds. The experimental results demonstrate that SC2 is able to transmit both short messages and bulk content. Under various parameter settings, the delivery latency of SC2 linearly decreases with the number of channels, and SC2 takes full advantage of the available bandwidth with the growing number of users. © 2022 IEEE.

12.
Journal of Investigative Dermatology ; 142(8):S61, 2022.
Article in English | EMBASE | ID: covidwho-1956220

ABSTRACT

Background: Teledermatology is an effective healthcare delivery model that has seen tremendous expansion over the last decade, which has been particularly pronounced during the Coronavirus Disease 2019 (COVID-19) pandemic. Objective: To better understand teledermatology utilization and patient demographic trends throughout the COVID-19 pandemic. Methods: National-level data were curated for all practices enrolled in the American Academy of Dermatology’s DataDerm registry from April 1, 2020, through June 30, 2021. Encounter utilization rates were collected for visit type (i.e., teledermatology versus in-person), sex, race, age, insurance provider, and location. Results: Data from up to 13,964,816 encounters across the United States were analyzed. Sex, race, age, insurance provider, and location were each found to have a significant association with telemedicine utilization (adjusted p<0.001). The proportion of women who utilized services via teledermatology (n=65,023, 66.0%) was greater than those who utilized in-person services (n=2,940,122, 58.3%). Non-white patients made up a higher percentage of teledermatology utilizers (n=8,920, 14.3%) when compared to in-person utilizers (n=394,680, 11.2%). Younger patients (age<40) contributed more to teledermatology service utilization (n=62,695, 83.2%) when compared to in-person services (n=1,329,218, 40.3%). Medicare and Private were larger payor contributors for in-person services (n=1,089,777, 25.2%;n=2712594, 62.6%) than for teledermatology services (n=8232, 5.4%;n=73940, 48.2%). Utilization by out-of-state patients was proportionally higher for teledermatology services (n=19,422, 14.6%) compared to in-person services (n=580,358, 4.2%). Conclusions: Teledermatology services may reach and benefit certain populations (females, younger patients, non-White races, out-of-state patients) more so than others.

13.
INDIAN JOURNAL OF PHARMACEUTICAL SCIENCES ; 84:190-201, 2022.
Article in English | Web of Science | ID: covidwho-1939749

ABSTRACT

Phellodendrine is a Phellodendri Cortex-derived isoquinoline alkaloids, has been shown to have various activities, especially hypoglycemic effect in mice, predicting its medicinal value on diabetes mellitus. To further understand the pharmacological effect of phellodendrine on diabetes mellitus, network pharmacological techniques have been used to elaborate the involved mechanisms. 84 common target molecules were screened, based on the chemical structure of phellodendrine molecule and disease database. These proteins were enriched in insulin resistance, insulin secretion and inflammatory response, mainly focus on the phosphatidylinositol 3-kinase/protein kinase B signaling pathway, mitogen-activated protein kinase signaling pathway and interleukin-17 signaling pathway. Moreover, enrichment analysis suggested that the targets of phellodendrine such as phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha and mitogen-activated protein kinases 8 were associated with coronavirus disease 2019. To verify the results, molecular docking technique was used to evaluate the interaction between phellodendrine and key targets in the signaling pathway. The calculated binding energy indicates that phellodendrine can form stable complex with insulin receptor, mitogen-activated protein kinases 8, phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha and glycogen synthase kinase 3 beta. These data suggest that phellodendrine should be beneficial for treatment of diabetes mellitus.

14.
18th IEEE/CVF International Conference on Computer Vision (ICCV) ; : 5381-5391, 2021.
Article in English | Web of Science | ID: covidwho-1927511

ABSTRACT

Social distancing, an essential public health measure to limit the spread of contagious diseases, has gained significant attention since the outbreak of the COVID-19 pandemic. In this work, the problem of visual social distancing compliance assessment in busy public areas, with wide field-of-view cameras, is considered. A dataset of crowd scenes with people annotations under a bird's eye view (BEV) and ground truth for metric distances is introduced, and several measures for the evaluation of social distance detection systems are proposed. A multi-branch network, BEV-Net, is proposed to localize individuals in world coordinates and identify high-risk regions where social distancing is violated. BEV-Net combines detection of head and feet locations, camera pose estimation, a differentiable homography module to map image into BEV coordinates, and geometric reasoning to produce a BEV map of the people locations in the scene. Experiments on complex crowded scenes demonstrate the power of the approach and show superior performance over baselines derived from methods in the literature. Applications of interest for public health decision makers are finally discussed. Datasets, code and pretrained models are publicly available at GitHub(1).

15.
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University ; 49(3):238-244, 2022.
Article in Chinese | Scopus | ID: covidwho-1924845

ABSTRACT

Ozone is a highly effective and broad-spectrum non-residual gas disinfectant.The global COVID-19 pandemic has significantly affected public safety and health, and low concentrations of ozone can inactivate the novel coronavirus.The negative ion generator is a safe and efficient method to generate ozone.Through corona discharge on the needle plate, an ion current can be formed between the needle-plate electrodes and a certain concentration of ozone can be released.In the research on the relationship between the electrode-to-plate distance and ozone release in the negative ion generator, different experimental observations show contradictory results, making the theoretical explanation very difficult and complicated.As the needle-to-plate electrode distance increases, the continuous exponential decreasing trend of ozone emission rate changes to a non-continuous step-wised decreasing pattern, which is defined as the Quantum Ozone Emission Effect (QOEE).The QOEE was observed in all negative ion generators when the plate material was aluminium, stainless steel, yellow brass, or copper.The observed quantum ozone emission effect in negative ion generators may be related to the gas ionization potential of the oxygen molecule and to the electron avalanche theory.The quantum effect of ozone emission is a manifestation of the quantum behavior of the microscopic electron world in the macroscopic world.The ozone emission quantum effect provides a novel technical method for measuring the microscopic properties and corona discharge characteristics of materials. © 2022, Editorial Department of Journal of Xidian University. All right reserved.

16.
23rd IEEE International Conference on High Performance Computing and Communications, 7th IEEE International Conference on Data Science and Systems, 19th IEEE International Conference on Smart City and 7th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021 ; : 1022-1028, 2022.
Article in English | Scopus | ID: covidwho-1909205

ABSTRACT

Fatigue driving is one of the major contributors to road accidents. Nowadays, COVID-19 is reaching epidemic proportions, which directly leads to the phenomenon of mask-wearing becomes ordinary among drivers. Most of the existing fatigue detection systems are unable to effectively determine the factual fatigue status of a driver that wearing a mask. Therefore, we propose a quick-witted fatigue detection system to counteract the obstruction of masks. The system detects faces by means of a pyramidbox-based approach. Then a modified PFLD-based method will predict the facial landmarks, from which the eye aspect ratio (EAR) is calculated. Ultimately, our self-made FDUM dataset was tested by using the evaluation method that combined PERCLOS and a method for blink frequency based on Gaussian distribution. Our system can achieve 97.06% accuracy in determining the fatigue status of the driver under the mask, which represents an excellent recognition rate of the system. © 2021 IEEE.

17.
47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 ; 2022-May:9082-9086, 2022.
Article in English | Scopus | ID: covidwho-1891391

ABSTRACT

The novel coronavirus disease (COVID-19) was declared a pandemic by the World Health Organization. The cumulative number of deaths is more than 4.8 million. Epidemiology experts concur that mass testing is essential for isolating infected individuals, contact tracing, and slowing the progression of the virus. In recent months, some machine learning methods have been proposed utilizing audio cues for COVID-19 detection. However, many works are based on hand-crafted features and deep features to detect COVID-19. There is no evidence that these features are optimal for COVID-19 detection. Therefore, we proposed an end-to-end network based on transformer for automatic detection of COVID-19. It directly learns features from the raw waveform for end-to-end learning, rather than extracting features in advance. We propose a feature extraction module to automatically extract features. And we use the transformer architectures to model the dependencies between the extracted features. It is the first end-to-end learning based on raw waveform for COVID-19 detection. Experiments on COUGHVID dataset show that our method has achieved competitive results. © 2022 IEEE

18.
Frontiers in Energy Research ; 10:9, 2022.
Article in English | English Web of Science | ID: covidwho-1883910

ABSTRACT

The worldwide coronavirus disease 2019 (COVID-19) pandemic has greatly affected the power system operations as a result of the great changes of socio-economic behaviours. This paper proposes a short-term load forecasting method in COVID-19 context based on temporal-spatial model. In the spatial scale, the cross-domain couplings analysis of multi-factor in COVID-19 dataset is performed by means of copula theory, while COVID-19 time-series data is decomposed via variational mode decomposition algorithm into different intrinsic mode functions in the temporal scale. The forecasting values of load demand can then be acquired by combining forecasted IMFs from light Gradient Boosting Machine (LightGBM) algorithm. The performance and superiority of the proposed temporal-spatial forecasting model are evaluated and verified through a comprehensive cross-domain dataset.

19.
Public Relations Review ; 48(3):13, 2022.
Article in English | English Web of Science | ID: covidwho-1882460

ABSTRACT

This study examined the effects of literacy and efficacy on individuals' protective action taking and information seeking during the early phase of infectious disease outbreaks through a nationally representative survey of 1164 U.S. adults. New measures of disaster literacy and crisis efficacy were tested. Overall, results revealed that crisis efficacy and organizational efficacy drove protective action taking and information seeking intentions, while health literacy did not. Disaster literacy negatively predicted both protective action advice seeking and information seeking. The findings highlight the importance of strengthening public efficacy and improving relationships between health authorities and the public, which is greatly influenced by the public's confidence in the health authority's management of the crisis.

20.
Technology and Innovation ; 22(2):225-232, 2022.
Article in English | Web of Science | ID: covidwho-1856508

ABSTRACT

The State of the Science Symposium is held multiple times per year to enhance the knowledge and skills of individuals working in the fields such as rehabilitation medicine, engineering, and public health. The Symposium has continually focused on the health and well-being of active-duty military members, reserve/guard components, veterans, and their families. With the onset of the COVID-19 pandemic and the social distancing protocols adopted to combat viral spread, the State of the Science Symposium was moved to an online platform to minimize risk. In December 2020, the symposium invited professionals to discuss necessary changes in their fields of practice in light of the pandemic protocols, and how telehealth has expanded to encompass multiple disciplines. It is concluded that the adoption of telemedicine as a standard of care wherever appropriate will benefit all parties involved, even after restrictions on gatherings and interpersonal contact are eased.

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