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1.
International Journal of Radiation Research ; 20(3):579-585, 2022.
Article in English | ProQuest Central | ID: covidwho-2026842
2.
2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022 ; : 1071-1076, 2022.
Article in English | Scopus | ID: covidwho-2018777

ABSTRACT

Most of the machine learning models are black box models. However, in practical applications, such as in many medical and health fields, it is very necessary to clearly understand the internal composition, combination or interaction of the model, study the system and predict the system behavior. Therefore, interpretable machine learning models have attracted more and more attention, especially when predicting based on models, the driving factors leading to prediction behavior are deeply studied. This paper proposes an interpretable machine learning model based on comparative learning and NARMAX. Because the input-output relationship of the model and the interaction relationship between input variables are clear, the model can not only be used for prediction, but also explain the relevant 'reasons' of prediction behavior. The novel coronavirus pneumonia epidemic data and influenza epidemic data were used to compare the model proposed in this paper. The experimental results show that the model is effective and reliable, and establish a dynamic model for the two diseases' spreads, and analyze the relationship between disease transmission factors. © 2022 IEEE.

3.
IEEE Frontiers in Education Conference (FIE) ; 2021.
Article in English | Web of Science | ID: covidwho-1978352

ABSTRACT

The following Research-to-Practice full paper presents the outcomes of a remote synchronous flipped classroom implementation of a senior-level data management course. As flipped classroom models of instruction have gained popularity in higher education, it has prompted the need for an investigation into content-specific methods for flipped curriculum design. Our work identified and implemented flipped classroom design factors in an Advanced Database Design (CIT 44400) course to address a gap in research around flipped classroom models within undergraduate data-science courses. Through literature review, we identified a set of eight factors of effective flipped classroom instruction and evaluated them via survey, focus group, course evaluation, student performance, and interview data. We segmented designed course activities which incorporated these eight factors with a set of learning objectives that emphasized collaborative iterative practices to position students as designers and evaluators of solutions to industry-authentic problems. Instructional design factors were evaluated via course evaluations and student surveys followed by an activity-based qualitative analysis of focus group, instructor interview, and student free-response data to understand student perceptions of instructional approaches, intended versus practical outcomes of such activities, and guidelines for future course design iterations and research. We argue instructional design must be studentcentered and consider student goals alongside those that are `scripted' into the course structure to best serve, motivate, and engage students. During the Fall 2020 implementation of CIT 44400, we prioritized learner independence, peer collaboration, and critical thinking in the instructional design, selecting flipped methodologies with the intention of fostering these skills in senior students. In light of Covid-19, the course was adapted to be synchronous online. Regardless of these unforeseen constraints, student performance and course evaluation data indicate that with peer and instructor feedback, students were able to apply course content appropriately in their final independent project as evidenced by a 12% increase in assessment scores and an improvement in students average overall final course grades from a `B' to an `A-' as compared to the previously taught Fall 2019 lecture-based section of the same class. Course evaluation scores also improved from 3.22 to 3.66 from Fall 2019 to Fall 2020. Self-reported survey data from students indicate that (a) feedback from the instructor, (b) small group work, (c) revision of work based on feedback, and (d) solution evaluations were the most positively impactful instructional design elements throughout the course. In particular, students mentioned oneon-one scaffolding from the instructor as beneficial for their learning. Students also communicated challenges faced during the pandemic, complaints, and recommendations for future course iterations. Data from focus group discussions conveyed that students (a) generally had positive learning experiences despite the constraints of learning exclusively online and (b) developed the industry-specific collaborative practices which were designed into the forefront of our instructional model. The flipped classroom design and implementation process in this research is transformative and can be employed by other STEM disciplines to design a domain-specific flipped model for their classroom which considers the needs of one's students, the challenges of the current time, and the state of the field at large.

4.
International Journal of Mental Health Promotion ; 24(5):711-724, 2022.
Article in English | Scopus | ID: covidwho-1975814

ABSTRACT

Background: The coronavirus (COVID-19) outbreak in 2019 triggered psychological and emotional responses. This research investigates the psychological status and emotional problems of those who sought psychological assistance during the epidemic period by calling a mental health hotline. Methods: This study aims to combine qualitative and quantitative research. Descriptive analysis was used for undertaking qualitative research. We analyzed the data from group 1 (n = 706), in which the people used the mental health hotline from 25 January 2020 to 23 June 2020. A self-designed questionnaire was developed in accordance with the classification and summarized items from group 1’s psychological problems and emotional status. To implement the quantitative research, we conducted a cross-sectional descriptive survey and used the self-compiled scale and HADS to investigate group 2 (n = 553) from May 2020 to June 2020. Results: Descriptive statistics and comparative analysis revealed that: ①Visitors mainly reported behavior, emotional, family relationship problems and sleep disorders. ② Anxiety, comorbidities, sleep disorders and coping problems were the most frequently reported problems. ③ There were significant differences in the number of visitors experiencing various problems or exhibiting harmful behaviors (sorrow, worry, fear, depression, sleep disorders, self-harm or suicide, and coping problems, anxiety, hypochondria, and comorbidity) in the four stages of the epidemic. ④ More than a quarter of participants still suffered from anxiety or depression in the later stages of the epidemic. Conclusion: Different problems manifested at different stages of the epidemic, and psychological interventions and assistance should be tailored to reflect this. © 2022, Tech Science Press. All rights reserved.

5.
Chinese Journal of Chemical Physics ; 35(3):407-412, 2022.
Article in English | Scopus | ID: covidwho-1972753

ABSTRACT

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) relies on the central molecular machine RNA-dependent RNA polymerase (RdRp) for the viral replication and transcription. Remdesivir at the template strand has been shown to effectively inhibit the RNA synthesis in SARS-CoV-2 RdRp by deactivating not only the complementary UTP incorporation but also the next nucleotide addition. However, the underlying molecular mechanism of the second inhibitory point remains unclear. In this work, we have performed molecular dynamics simulations and demonstrated that such inhibition has not directly acted on the nucleotide addition at the active site. Instead, the translocation of Remdesivir from +1 to-1 site is hindered thermodynamically as the post-Translocation state is less stable than the pre-Translocation state due to the motif B residue G683. Moreover, another conserved residue S682 on motif B further hinders the dynamic translocation of Remdesivir due to the steric clash with the 1′-cyano substitution. Overall, our study has unveiled an alternative role of motif B in mediating the translocation when Remdesivir is present in the template strand and complemented our understanding about the inhibitory mechanisms exerted by Remdesivir on the RNA synthesis in SARS-CoV-2 RdRp. © 2022 Chinese Physical Society.

6.
Chinese Journal of Pharmaceutical Biotechnology ; 29(2):141-144, 2022.
Article in Chinese | EMBASE | ID: covidwho-1928968

ABSTRACT

A mixed antigen coating method was designed to optimize the method for detecting the titer of the immune serum to inactivated SARS-CoV-2 vaccine, which based on the traditional single antigen coating.The authors determined the optimal coating concentration of the single antigen first by the checkerboard method, then combined two kinds of antigen and obtained coating concentration of the mixed antigen.The best combination of mixed coating antigen contains the whole-coronavirus antigen with total protein concentration of 25 ng/well and the recombinant new coro-navirus S1 protein antigen with protein concentration of 50 ng/well.This method can be used to detect all antibody-specific titers in serum effectively, especially serum containing high-level S protein-specific antibodies.

7.
Zhonghua Yi Xue Za Zhi ; 102(25): 1874-1877, 2022 Jul 05.
Article in Chinese | MEDLINE | ID: covidwho-1911759

ABSTRACT

Veno-arterial extracorporeal membrane oxygenation (VA-ECMO) is a salvage therapy for critical patients with refractory cardiogenic shock caused by various reasons. It can temporarily replace cardiopulmonary function, and rapidly improve hypoxemia, increase systemic oxygen content and remove carbon dioxide. Although the Extracorporeal Life Support Organization (ELSO) guideline proposed clear indication for VA-ECMO, the heterogeneity of cardiac pathogeny is large, so the clear timing of ECMO initiation is still vague. We discuss the timing of ECMO initiation for external cardiopulmonary resuscitation (ECPR) and cardiogenic shock which is caused by fulminant myocarditis, acute myocardial infarction, acute pulmonary embolism, acute right heart failure related to lung transplantation, corona virus disease 2019 (COVID-19)-associated cardiovascular collapse. Also, we look forward to making more suggestions for clinicians' judgment and choice for VA-ECMO.


Subject(s)
COVID-19 , Cardiopulmonary Resuscitation , Extracorporeal Membrane Oxygenation , Pulmonary Embolism , Extracorporeal Membrane Oxygenation/adverse effects , Humans , Retrospective Studies , Shock, Cardiogenic/therapy
8.
Gongcheng Kexue Xuebao/Chinese Journal of Engineering ; 44(6):1080-1089, 2022.
Article in Chinese | Scopus | ID: covidwho-1876199

ABSTRACT

With the increasing popularity of the Internet and the spread of COVID-19, epidemic-related rumors have attracted significant attention, allowing them to brew quickly and pose extremely negative social impacts. It is of great significance to investigate the propagation process of online rumors and offer tentative strategies to curb it. Based on the traditional susceptible, infected, recovered (SIR) model of online rumor propagation, groups of potential and die-hard rumor believers were introduced in this paper, establishing an authoritative rumor-refuting mechanism. Meanwhile, this paper considered factors such as the time-lag effect of rumor refutation from the nonauthoritative and authoritative institutions and the impact of the popularizing rate of higher education on the propagation and refutation of rumors. As a result of the process, the SEIRD (susceptible, exposed, infected, recovered, die-hard-infected) rumor propagation model was established to study how the proportion of the susceptible, exposed, infected, recovered, and die-hard-infected varies under different popularizing rates of higher education, the presence or absence of the authoritative rumor-refuting institutions, and the time-lag effect of rumor refutation. Finally, the model's effectiveness was verified via experimental simulation, which provided a reference for controlling the spread of online rumor propagation. In addition, the paper proposed a rumor-refuting coefficient to measure the rumor-refuting ability of the nonauthoritative and authoritative institutions. The results show that (1) increasing popularizing rate of higher education significantly slows down the rumor propagation and reduces the rumor propagation peak;(2) refuting the rumors based on the authoritative institutions is decisive for the ultimate elimination of rumors;and (3) eliminating the time-lag effect in refuting rumors facilitates slowing down the propagation of the online rumors. Therefore, the paper puts forward a feasible strategy to eliminate the time-lag effect of online rumor refutation in the future. Copyright ©2022 Chinese Journal of Engineering. All rights reserved.

9.
16th IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2021 ; : 276-283, 2021.
Article in English | Scopus | ID: covidwho-1846123

ABSTRACT

With the continuous development of the economy and technology, people more and more rely on online shopping, especially during the pandemic of COVID19. On the other hand, sellers display many products, so customers need to make a great effort to find suitable products to meet their needs. To reduce the efforts of customers, researchers have developed many recommendation systems for online products. In this paper, to help further study recommendation systems in e-commerce, we survey the learning-based methods for solving the cold-start problem in a recommendation, social recommendation, and data sparsity. In particular, we compare these methods' pros and cons and point out the directions for further study. © 2021 IEEE.

10.
6th IEEE International Conference on Data Science in Cyberspace, DSC 2021 ; : 635-639, 2021.
Article in English | Scopus | ID: covidwho-1831756

ABSTRACT

Advanced Persistent Threat (APT) attack activities with the theme of COVID-19 and vaccine are also growing rapidly. The target of APT attack has gradually expanded from government agencies to vaccine manufacturers, medical industry and so on. What's more, APT groups have a strict organizational structure and professional division of labor and malware delivered by the same APT groups are similar. Classifying malware samples into known APT groups in time can minimize losses as soon as possible and keep relevant industries vigilant. In our paper, we proposed a multi-classification method of APT malware based on Adaboost and LightGBM. We collect real APT malware samples that have been delivered by 12 known APT groups. The API call sequence of each APT malware is obtained through the sandbox. For the relationship between adjacent APIs, we use TF-IDF algorithm combined with bi-gram. Then, Adaboost algorithm is used to select out the important API features, which form the target feature subset. Finally, we use the above subset combined with LightGBM ensemble algorithm to train multiple classifiers, named Ada-LightGBM. The experimental results show that our method is superior to the single Adaboost and LightGBM method. The classifier has good recognition performance for the test samples. © 2021 IEEE.

11.
2nd International Conference on Electronics, Communications and Information Technology, CECIT 2021 ; : 1213-1218, 2021.
Article in English | Scopus | ID: covidwho-1831731

ABSTRACT

COVID-19 has a significant impact on the global supply chain, and enterprises involved in international trade may face more uncertainties. Financing constraints restrict the development of trading enterprises, while supply chain finance can help trading enterprises obtain more funds and reduce the risks in trade. This paper uses the data of trading enterprises from 2011 to 2020 and adopts cash-cash flow sensitivity model to study the relationship between supply chain finance and enterprise financing constraints. The results show that supply chain finance can significantly alleviate the financing constraints and reduce the cash-cash flow sensitivity of trading enterprises. In addition, this paper also puts forward suggestions from aspects of the government, financial markets and enterprises to promote the application of the information system of supply chain finance in international trade. © 2021 IEEE.

12.
ACM Transactions on Computing for Healthcare ; 3(1), 2022.
Article in English | Scopus | ID: covidwho-1741688

ABSTRACT

Searching, reading, and finding information from the massive medical text collections are challenging. A typical biomedical search engine is not feasible to navigate each article to find critical information or keyphrases. Moreover, few tools provide a visualization of the relevant phrases to the query. However, there is a need to extract the keyphrases from each document for indexing and efficient search. The transformer-based neural networks-BERT has been used for various natural language processing tasks. The built-in self-attention mechanism can capture the associations between words and phrases in a sentence. This research investigates whether the self-attentions can be utilized to extract keyphrases from a document in an unsupervised manner and identify relevancy between phrases to construct a query relevancy phrase graph to visualize the search corpus phrases on their relevancy and importance. The comparison with six baseline methods shows that the self-attention-based unsupervised keyphrase extraction works well on a medical literature dataset. This unsupervised keyphrase extraction model can also be applied to other text data. The query relevancy graph model is applied to the COVID-19 literature dataset and to demonstrate that the attention-based phrase graph can successfully identify the medical phrases relevant to the query terms. © 2021 Copyright held by the owner/author(s). Publication rights licensed to ACM.

13.
Chinese Journal of New Drugs ; 31(2):125-131, 2022.
Article in Chinese | EMBASE | ID: covidwho-1688164

ABSTRACT

The aim of the article is to identify the regulatory pathways that facilitate the internationalization process of vaccines in China, improve the regulations on the registration and production of vaccines and biological products, promote our country's vaccine industrialization, and assist in global solidarity against the COVID-19 pandemic. Based on literature research, we analyzed the manufacturing process characteristics of some vaccines, such as mRNA and adenovirus vectors, then studied the modes of production and technology transfer of the new COVID-19 vaccines, and analyzed the pathways of the legal and regulatory guidelines for supporting rapid expanding production capacity in the US and Europe. Generally, in countries or regions with mutual recognition by the regulatory system, where the vaccine marketing authorization holder are required to rapidly expand the vaccine production capacity, a full or separated OEM is generally taken with the manufacturing, filling, and packaging sites of the vaccine. In countries or regions where differences in the regulatory system are not mutually recognized, marketing authorization holder (MAH) will transfer technology. China should establish a regulatory pathway to allow the staged production of vaccines and other biologics as soon as possible, and establish a production site change management procedure consistent with international regulatory rules, so as to prepare for the adoption of a more economical and efficient way to expand vaccine production capacity in the future.

14.
16th IEEE International Conference on Computer Science and Education, ICCSE 2021 ; : 3-7, 2021.
Article in English | Scopus | ID: covidwho-1522568

ABSTRACT

COVID-19 pandemic is unprecedented in its impact on education, forcing a crash course for online teaching programs and technology for students and instructions. Though, some studies have applied personal response systems (PRSs) to online teaching, few researches have experimentally evaluated the effectiveness of PRSs. Learner's performance, including academic achievement and perception, can inform the effectiveness of using PRSs in online teaching. Therefore, 98 sophomores majoring in 'Educational Technology' are selected to evaluate learners' performance in online teaching with PRSs like UMU, and reached the following conclusions: the test group's academic achievement was higher than the control group;majority of learners have positive perception, such as learning motivation (LM), learning engagement (LE) and learning satisfaction (LS) towards PRSs. In general, PRSs used in online teaching is efficient, which is a new way to improve the effectiveness of online teaching. Finally, limitations of study and prospects for further research are discussed. © 2021 IEEE.

15.
Engineering, Construction and Architectural Management ; 2021.
Article in English | Scopus | ID: covidwho-1480029

ABSTRACT

Purpose: Although prefabricated construction (PC) technology has attracted considerable attention worldwide because of its significant role in the global fight against COVID-19, market-driven adoption is still limited. The mechanisms for PC technology adoption have yet to be defined, which inhibits its diffusion in the construction market. This study aims to reveal the intrinsic motivation and action mechanism for PC technology adoption. Design/methodology/approach: Drawing on the technology acceptance model (TAM), the study integrates characteristics from the diffusion of innovation theory to propose a multifaceted model for explaining practitioners’ PC technology adoption behavior from technology, organization and environment contexts. The proposed theoretical model was empirically examined via a survey of 234 professionals in mainland China using the partial least squares-structural equation modeling technique. Findings: The outcomes indicated that relative advantage, corporate social responsibility and market demand are significantly positively related to practitioners’ perceived usefulness from PC technology. Regulatory support and trading partner support have noticeable positive effects on practitioners’ perceived ease of use from PC technology. Perceived ease of use is found to positively influence perceived usefulness, and both of them have a positive influence on the attitude toward adopting PC technology. Attitude is further confirmed as an important predictor of adoption intention, which would lead to actual PC technology adoption behavior. Originality/value: To the best of the authors’ knowledge, this paper is the first attempt to explore industry perceptions toward PC technology adoption, providing valuable guidance for the effective diffusion of PC technology and laying a reliable foundation for research on other construction innovation adoption in post-COVID-19. © 2021, Emerald Publishing Limited.

16.
Zhonghua Yu Fang Yi Xue Za Zhi ; 55(9): 1149-1152, 2021 Sep 06.
Article in Chinese | MEDLINE | ID: covidwho-1463876

ABSTRACT

To investigate whether the laboratory specimens preserved in Beijing Hospital Biobank during a specific period had been contaminated by SARS-Cov-2 through a cross-sectional study, and to establish a retrospective biobank safety screening system. Laboratory specimens were collected from the Department of Respiratory and Critical Care Medicine and the Fever Clinic of Beijing Hospital from November 1, 2019 to January 22, 2020, nucleic acid and serological antibody testing were performed for SARS-CoV-2 in these specimens (including 79 serum, 20 urine, 42 feces and 21 bronchoalveolar lavage fluid specimens). The safety of the stored samples during this period was defined by negative and positive results. Both the nucleic acid test and serological antibody test showed negative for SARS-CoV-2, indicating that these specimens were safely stored in the biobank. High-risk specimens collected in our hospital during the early stage of the COVID-19 outbreak are free of SARS-CoV-2, and a safety screening strategy for the clinical biobank is established to ensure the biosafety of these samples.


Subject(s)
Biological Specimen Banks , COVID-19 , Cross-Sectional Studies , Hospitals , Humans , Retrospective Studies , SARS-CoV-2
17.
Chinese Journal of Evidence-Based Medicine ; 21(4):373-375, 2021.
Article in Chinese | EMBASE | ID: covidwho-1449167

ABSTRACT

Traditional Chinese medicine has been used for the treatment of many diseases including acute infections often associated with public health emergencies for thousands of years. However, clinical evidence supporting the use of these treatments is insufficient, and the mechanism for using Chinese medicine therapy in the public health setting has not been fully established. In this report, the Evidence-based Traditional and Integrative Chinese medicine Responding to Public Health Emergencies Working Group proposed five recommendations to facilitate the inclusion of Chinese medicine as part of our responses to public health emergencies. It is expected that the Working Group’s proposals may promote the investigation and practice of Chinese Medicine in public health settings.

18.
2nd Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2021 ; : 202-205, 2021.
Article in English | Scopus | ID: covidwho-1369419

ABSTRACT

The COVID-19 epidemic has brought a huge impact on the employment of college graduates. Employment pressure has become the main factor inducing psychological problems for college graduates [1]. The graduating students in the critical period are prone to psychological confusion and bad mentality. This will not only affect the employment and life of college graduates, but also cause various social problems. Therefore, it is very important to adjust the employment psychology of college graduates. This paper analyzes the employment situation and the psychological performance of college graduates after the COVID-19 epidemic in the face of employment pressure, and proposes corresponding countermeasures to ease the employment pressure in this situation. © 2021 ACM.

19.
2020 APWG Symposium on Electronic Crime Research, eCrime 2020 ; 2021-November, 2020.
Article in English | Scopus | ID: covidwho-1356785

ABSTRACT

As COVID-19 has been spreading across the world since early 2020, a growing number of malicious campaigns are capitalizing the topic of COVID-19. COVID-19 themed cryptocurrency scams are increasingly popular during the pandemic. However, these newly emerging scams are poorly understood by our community. In this paper, we present the first measurement study of COVID-19 themed cryptocurrency scams. We first create a comprehensive taxonomy of COVID-19 scams by manually analyzing the existing scams reported by users from online resources. Then, we propose a hybrid approach to perform the investigation by: 1) collecting reported scams in the wild;and 2) detecting undisclosed ones based on information collected from suspicious entities (e.g., domains, tweets, etc). We have collected 195 confirmed COVID-19 cryptocurrency scams in total, including 91 token scams, 19 giveaway scams, 9 blackmail scams, 14 crypto malware scams, 9 Ponzi scheme scams, and 53 donation scams. We then identified over 200 blockchain addresses associated with these scams, which lead to at least 330K US dollars in losses from 6, 329 victims. For each type of scams, we further investigated the tricks and social engineering techniques they used. To facilitate future research, we have released all the well-labelled scams to the research community. © 2020 IEEE.

20.
Journal of the Academy of Consultation-Liaison Psychiatry ; 62(2):201-210, 2021.
Article in English | Web of Science | ID: covidwho-1338002

ABSTRACT

Background: Wuhan, the epicenter of the coronavirus disease 2019 outbreak, was locked down on January 23, 2020. We aimed to investigate the barriers to the physical prevention, negative attitudes, and anxiety levels. Methods: A online cross-sectional survey was conducted with the people living in Wuhan between March 12th and 23rd, 2020. Results: Of a total of 2411 complete responses, the mean and standard deviation for the total physical prevention barriers score was 19.73 (standard deviation +/- 5.3;range 12-45) out of a possible score of 48. Using a cut-off score of 44 for the State-Trait Inventory score, 79.9% (95% confidence interval [CI]: 78.2-81.5) of the participants reported moderate to severe anxiety during the early phase of the outbreak, and 51.3% (95% CI 49.2-53.3) reported moderate to severe anxiety after the peak of coronavirus disease 2019 was over (during the study period). Comparing anxiety levels in the early phase of the outbreak and after the peak of the outbreak, 58.5% (95% CI 56.5-60.5) recorded a decreased anxiety. Females reported a higher likelihood of having decreased levels of anxiety than males (odds ratio = 1.78, 95% CI 1.48-2.14). Low negative attitudes score were associated with a higher decrease in anxiety (odds ratio = 1.59, 95% CI 1.33-1.89). Conclusions: The attitudinal barriers to prevention of transmission of coronavirus disease 2019 are more prominent than physical prevention barriers after the peak of corona virus disease 2019. High anxiety levels even after the peak warrant serious attention.

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