Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 37
Filter
Add filters

Year range
1.
Aslib Journal of Information Management ; 2022.
Article in English | Scopus | ID: covidwho-2029185

ABSTRACT

Purpose: This study aims to investigate how the public formed their need for information in the early stage of the COVID-19 outbreak. Exploring the formation of information needs can reveal why the public's information needs differ and provide insights on targeted information service during health crises at an essential level. Design/methodology/approach: The data were collected through semi-structured interviews with 46 participants and analyzed using the grounded theory approach. Concepts, sub-categories and categories were developed, and a model was built to examine how the public formed the need for information about the pandemic. Findings: The authors found that participants were stimulated by information asymmetry, severity of the pandemic and regulations to control the pandemic, which triggered their perceptions of information credibility, threat and social approval. After the participants perceived that there was a threat, it activated their basic needs and they actively formed the need for information based on cognitive activities. Moreover, information delivered by different senders resulted in a passive need for information. Participants' individual traits also influenced their perceptions after being stimulated. Research limitations/implications: Long-term follow-up research is needed to help researchers identify more detailed perspectives and do comparative studies. Besides, this study conducted interviews through WeChat voice calls and telephone calls, and might be limited compared with face-to-face interviews. Practical implications: The findings of this study provide theoretical contributions to the information needs research and practical implications for information services and public health management. Originality/value: There is little systematic research on how the public formed information needs in the early stage of the COVID-19 outbreak. © 2022, Emerald Publishing Limited.

2.
Frontiers in Immunology ; 13:939311, 2022.
Article in English | MEDLINE | ID: covidwho-2022716

ABSTRACT

Background: Owing to the coronavirus disease 2019 (COVID-19) pandemic and the emergency use of different types of COVID-19 vaccines, there is an urgent need to consider the effectiveness and persistence of different COVID-19 vaccines. Methods: We investigated the immunogenicity of CoronaVac and Covilo, two inactivated vaccines against COVID-19 that each contain inactivated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The levels of neutralizing antibodies to live SARS-CoV-2 and the inhibition rates of neutralizing antibodies to pseudovirus, as well as the immunoglobulin (Ig)G and IgM responses towards the spike (S) and nucleocapsid (N) protein of SARS-CoV-2 at 180 days after two-dose vaccination were detected. Results: The CoronaVac and Covilo vaccines induced similar antibody responses. Regarding neutralizing antibodies to live SARS-CoV-2, 77.9% of the CoronaVac vaccine recipients and 78.3% of the Covilo vaccine recipients (aged 18-59 years) seroconverted by 28 days after the second vaccine dose. Regarding SARS-CoV-2-specific antibodies, 97.1% of the CoronaVac vaccine recipients and 95.7% of the Covilo vaccine recipients seroconverted by 28 days after the second vaccine dose. The inhibition rates of neutralizing antibody against a pseudovirus of the SARS-CoV-2 Delta variant were significantly lower compared with those against a pseudovirus of wildtype SARS-CoV-2. Associated with participant characteristics and antibody levels, persons in the older age group and with basic disease, especially a chronic respiratory disease, tended to have lower anti-SARS-CoV-2 antibody seroconversion rates. Conclusion: Antibodies that were elicited by these two inactivated COVID-19 vaccines appeared to wane following their peak after the second vaccine dose, but they persisted at detectable levels through 6 months after the second vaccine dose, and the effectiveness of these antibodies against the Delta variant of SARS-CoV-2 was lower than their effectiveness against wildtype SARS-CoV-2, which suggests that attention must be paid to the protective effectiveness, and its persistence, of COVID-19 vaccines on SARS-CoV-2 variants.

3.
Journal of Breath Research ; 02:02, 2022.
Article in English | MEDLINE | ID: covidwho-2017581

ABSTRACT

BACKGROUND: SARS-CoV-2 has caused a tremendous threat to global health. PCR and antigen testing have played a prominent role in the detection of SARS-CoV-2-infected individuals and disease control. An efficient, reliable detection tool is still urgently needed to halt the global COVID-19 pandemic. Recently, FDA emergency approved VOC as an alternative test for COVID-19 detection. METHODS AND MATERIALS: In this case-control study, we prospectively and consecutively recruited 95 confirmed COVID-19 patients and 106 healthy controls in the designated hospital for treatment of COVID-19 patients in Shenzhen, China. Exhaled breath samples were collected and stored in customized bags and then detected by HPPI-TOFMS for volatile organic components (VOCs). Machine learning (ML) algorithms were employed for COVID-19 detection model construction. Participants were randomly assigned in a 5:2:3 ratio to the training, validation, and blinded test sets. The sensitivity (SEN), specificity (SPE), and other general metrics were employed for the VOCs based COVID-19 detection model performance evaluation. RESULTS: The VOCs based COVID-19 detection model achieved good performance, with a SEN of 92.2% (95% CI: 83.8%, 95.6%), a SPE of 86.1% (95% CI: 74.8%, 97.4%) on blinded test set. Five potential VOC ions related to COVID-19 infection were discovered, which are significantly different between COVID-19 infected patients and controls. CONCLUSIONS: This study evaluated a simple, fast, non-invasive VOCs-based COVID-19 detection method and demonstrated that it has good sensitivity and specificity in distinguishing COVID-19 infected patients from controls. It has great potential for fast and accurate COVID-19 detection.

5.
Archives of Virology ; 09:09, 2022.
Article in English | MEDLINE | ID: covidwho-2014164

ABSTRACT

The wide spread of coronavirus disease 2019 (COVID-19) has significantly threatened public health. Human herd immunity induced by vaccination is essential to fight the epidemic. Therefore, highly immunogenic and safe vaccines are necessary to control SARS-CoV-2, whose S protein is the antigenic determinant responsible for eliciting antibodies that prevent viral entry and fusion. In this study, we developed a SARS-CoV-2 DNA vaccine expressing the S protein, named pVAX-S-OP, which was optimized according to the human-origin codon preference and using polyinosinic-polycytidylic acid as an adjuvant. pVAX-S-OP induced specific antibodies and neutralizing antibodies in BALB/c and hACE2 transgenic mice. Furthermore, we observed 1.43-fold higher antibody titers in mice receiving pVAX-S-OP plus adjuvant than in those receiving pVAX-S-OP alone. Interferon gamma production in the pVAX-S-OP-immunized group was 1.58 times (CD3+CD4+IFN-gamma+) and 2.29 times (CD3+CD8+IFN-gamma+) lower than that in the pVAX-S-OP plus adjuvant group but higher than that in the control group. The pVAX-S-OP vaccine was also observed to stimulate a Th1-type immune response. When, hACE2 transgenic mice were challenged with SARS-CoV-2, qPCR detection of N and E genes showed that the viral RNA loads in pVAX-S-OP-immunized mice lung tissues were 104 times and 106 times lower than those of the PBS control group, which shows that the vaccine could reduce the amount of live virus in the lungs of hACE2 mice. In addition, pathological sections showed less lung damage in the pVAX-S-OP-immunized group. Taken together, our results demonstrated that pVAX-S-OP has significant immunogenicity, which provides support for developing SARS-CoV-2 DNA candidate vaccines.

7.
Sheng Wu Gong Cheng Xue Bao ; 38(8):3090-3098, 2022.
Article in Chinese | PubMed | ID: covidwho-2002693

ABSTRACT

After the outbreak of COVID-19, the widespread application of online teaching has brought challenges and opportunities for higher education. Developing an effective teaching system is the focus of curriculum teaching reform in the post pandemic era. According to the characteristics of Human and Animal Physiology, the course teachers has developed a new teaching system by updating the teaching concept, reconstructing the contents of the course, changing the teaching modes, strengthening the integration of moral and intellectual education, and improving the assessment approaches. This teaching system is aimed at meeting the need of personalized learning for students and adapting to a new teaching environment. This article introduces the exploration and practice of the curriculum reform.

8.
Advanced Functional Materials ; 2022.
Article in English | Web of Science | ID: covidwho-1995522

ABSTRACT

With the rapid progress in nanomaterials and biochemistry, there has been an explosion of interest in biomolecule-modified quantum dots (QDs) for biomedical applications. Metal chalcogenide quantum dots (MCQDs), as the most widely studied QDs, have attracted tremendous attention in the biomedical field on account of their unique and excellent optical properties and the ease of biomolecular modifications. Herein, important advances in MCQDs over recent years are reviewed, from materials design to biomedical applications. Especially, this review focuses on the challenges encountered in the applications of MCQDs in biomedical fields and how these problems can be solved by rational design of synthesis methods and modifications, which have opened a universal route to develop the functionalized MCQDs. Moreover, recent processes in bioimaging, biosensing, and cancer therapy based on MCQDs are examined, including the rapid detection and diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This review provides broad insights into MCQDs in the biomedical field and will inspire material researchers to develop MCQDs in the future.

9.
Saudi Dent J ; 2022 Aug 12.
Article in English | MEDLINE | ID: covidwho-1983982

ABSTRACT

Objective: Studies have shown that gingival crevices may be a significant route for SARS-CoV-2 entry. However, the role of oral health in the acquisition and severity of COVID-19 is not known.Design: A retrospective analysis was performed using electronic health record data from a large urban academic medical center between 12/1/2019 and 8/24/2020. A total of 387 COVID-19 positive cases were identified and matched 1:1 by age, sex, and race to 387 controls without COVID-19 diagnoses. Demographics, number of missing teeth and alveolar crestal height were determined from radiographs and medical/dental charts. In a subgroup of 107 cases and controls, we also examined the rate of change in alveolar crestal height. A conditional logistic regression model was utilized to assess association between alveolar crestal height and missing teeth with COVID-19 status and with hospitalization status among COVID-19 cases. Results: Increased alveolar bone loss, OR=4.302 (2.510 - 7.376), fewer missing teeth, OR=0.897 (0.835 - 0.965) and lack of smoking history distinguished COVID-19 cases from controls. After adjusting for time between examinations, cases with COVID-19 had greater alveolar bone loss compared to controls (0.641+/- 0.613 mm vs 0.260 +/- 0.631 mm, p<0.01.) Among cases with COVID-19, increased number of missing teeth OR=2.1871 (1.146- 4.174) was significantly associated with hospitalization. Conclusions: Alveolar bone loss and missing teeth are positively associated with the acquisition and severity of COVID-19 disease, respectively.

10.
2nd International Conference on Artificial Intelligence and Computer Engineering, ICAICE 2021 ; : 119-125, 2021.
Article in English | Scopus | ID: covidwho-1948769

ABSTRACT

The new coronavirus (COVID-2019) epidemic outbreak has devastating impacts on people's daily lives and public healthcare systems. The chest X-ray image is an effective tool for diagnosing new coronavirus diseases. This paper proposes a new method to identify the new coronavirus from chest X-ray images to assist radiologists in fast and accurate image reading. We first enhance the contrast of X-ray images by using adaptive histogram equalization and eliminating image noise by using a median filter. Then, the X-ray image is fed to a sophisticated deep neural network (FAC-DPN-SENet) proposed by us to train a classifier, which is used to classify an X-ray image as usual or COVID-2019 or other pneumonia. Applying our method to a standard dataset, we achieve a classification accuracy of 93%, which is significantly better performance than several other state-of-the-art models, such as ResNet and DenseNet. This shows that the proposed method can be used as an effective tool to detect COVID-2019. © 2021 IEEE.

11.
Journal of Food and Drug Analysis ; 30(2):252-270, 2022.
Article in English | Web of Science | ID: covidwho-1918368

ABSTRACT

On analyzing the results of cell-based assays, we have previously shown that perilla (Perilla frutescens) leaf extract (PLE), a food supplement and orally deliverable traditional Chinese medicine approved by the Taiwan Food and Drug Administration, effectively inhibits SARS-CoV-2 by directly targeting virions. PLE was also found to modulate virus-induced cytokine expression levels. In this study, we explored the anti-SARS-CoV-2 activity of PLE in a hamster model by examining viral loads and virus-induced immunopathology in lung tissues. Experimental animals were intranasally challenged with different SARS-CoV-2 doses. Jugular blood samples and lung tissue specimens were obtained in the acute disease stage (3-4 post-infection days). As expected, SARS-CoV-2 induced lung inflammation and hemorrhagic effusions in the alveoli and perivascular areas;additionally, it increased the expression of several immune markers of lung injury - including lung Ki67-positive cells, Iba-1-positive macrophages, and myeloperoxidase-positive neutrophils. Virus-induced lung alterations were significantly attenuated by orally administered PLE. In addition, pretreatment of hamsters with PLE significantly reduced viral loads and immune marker expression. A purified active fraction of PLE was found to confer higher antiviral protection. Notably, PLE prevented SARS-CoV-2-induced increase in serum markers of liver and kidney function as well as the decrease in serum high-density lipoprotein and total cholesterol levels in a dose-dependent fashion. Differently from lung pathology, monitoring of serum biomarkers in Syrian hamsters may allow a more humane assessment of the novel drugs with potential anti-SARS-CoV-2 activity. Our results expand prior research by confirming that PLE may exert an in vivo therapeutic activity against SARS-CoV-2 by attenuating viral loads and lung tissue inflammation, which may pave the way for future clinical applications.

12.
Applied biochemistry and microbiology ; 57(Suppl 1):S11-S26, 2021.
Article in English | EuropePMC | ID: covidwho-1871964

ABSTRACT

Naphthoquinones harboring 1,4-naphthoquinone pharmacophore are considered as privileged structures in medicinal chemistry. In pharmaceutical industry and fundamental research, polyketide naphthoquinones were widely produced by heterologous expression of polyketide synthases in microbial chassis cells, such as Saccharomyces cerevisiae and Escherichia coli. Nevertheless, these cell factories still remain, to a great degree, black boxes that often exceed engineers’ expectations. In this work, the biotransformation of juglone or 1,4-naphthoquinone was conducted to generate novel derivatives and it was revealed that these two naphthoquinones can indeed be modified by the chassis cells. Seventeen derivatives, including 6 novel compounds, were isolated and their structural characterizations indicated the attachment of certain metabolites of chassis cells to naphthoquinones. Some of these biosynthesized derivatives were reported as potent antimicrobial agents with reduced cytotoxic activities. Additionally, molecular docking as simple and quick in silico approach was performed to screen the biosynthesized compounds for their potential antiviral activity. It was found that compound 11 and 17 showed the most promising binding affinities against Nsp9 of SARS-CoV-2, demonstrating their potential antiviral activities. Overall, this work provides a new approach to generate novel molecules in the commonly used chassis cells, which would expand the chemical diversity for the drug development pipeline. It also reveals a novel insight into the potential of the catalytic power of the most widely used chassis cells. Supplementary Information The online version contains supplementary material available at 10.1134/S0003683821100124.

13.
Data Technologies and Applications ; : 19, 2022.
Article in English | Web of Science | ID: covidwho-1806795

ABSTRACT

Purpose The COVID-19 has become a global pandemic, which has caused large number of deaths and huge economic losses. These losses are not only caused by the virus but also by the related rumors. Nowadays, online social media are quite popular, where billions of people express their opinions and propagate information. Rumors about COVID-19 posted on online social media usually spread rapidly;it is hard to analyze and detect rumors only by artificial processing. The purpose of this paper is to propose a novel model called the Topic-Comment-based Rumor Detection model (TopCom) to detect rumors as soon as possible. Design/methodology/approach The authors conducted COVID-19 rumor detection from Sina Weibo, one of the most widely used Chinese online social media. The authors constructed a dataset about COVID-19 from January 1 to June 30, 2020 with a web crawler, including both rumor and non-rumors. The rumor detection task is regarded as a binary classification problem. The proposed TopCom model exploits the topical memory networks to fuse latent topic information with original microblogs, which solves the sparsity problems brought by short-text microblogs. In addition, TopCom fuses comments with corresponding microblogs to further improve the performance. Findings Experimental results on a publicly available dataset and the proposed COVID dataset have shown superiority and efficiency compared with baselines. The authors further randomly selected microblogs posted from July 1-31, 2020 for the case study, which also shows the effectiveness and application prospects for detecting rumors about COVID-19 automatically. Originality/value The originality of TopCom lies in the fusion of latent topic information of original microblogs and corresponding comments with DNNs-based models for the COVID-19 rumor detection task, whose value is to help detect rumors automatically in a short time.

14.
IAF Space Transportation Solutions and Innovations Symposium 2021 at the 72nd International Astronautical Congress, IAC 2021 ; D2, 2021.
Article in English | Scopus | ID: covidwho-1790579

ABSTRACT

As world space launch activities have entered an intensive stage, how to effectively improve efficiency, reduce costs, and enhance the ability to go into space while ensuring reliability and safety has become an important factor in measuring space capabilities. The launch vehicle must fly reliably and stably, and send the satellite into the predetermined orbit accurately. Not only is the important role of the systems on the vehicle, but ground testing and launch control also play a vital role in ensuring the success of the launch vehicle mission. The emergence of COVID-19 in early 2020 also challenged the personnel-intensive industrial model. Intelligent, unmanned, efficient, and system will be the dominant model in the future. This paper reviews the development status of the world's launch vehicle test launch technology, analyzes the capabilities and shortcomings of existing test launch technology, and proposes the development trend of future launch vehicle test launch technology based on new technologies emerging from the new round of scientific and technological revolution. The outlook for next-generation test launch system is also presented. Future test launch technologies will highlight the three characteristics of digitalization, networking and intelligence. Digitization lays the foundation for test launch informationization. Its development trend is big data analysis and application, replacing the existing software tools to extract, store, search, share, analyze, and process massive and complex data sets to achieve depth test launch data mining and maximum value. Networking provides a physical carrier for information dissemination. Its development trend is the adoption of Cyber-Physical Systems (CPS), integrated computing, communication, and control. Through networking, ground test transmitting equipment has computing, communication, precise control, remote coordination, autonomy and other functions. Intelligence reflects the level of information application. Its development trend is a new generation of artificial intelligence. According to the requirements of vehicle launch, it could quickly generate data and upload binding. Through intelligent detection methods, it could complete the required operations, inspections and tests before launching, and achieve autonomous vehicle launching. In the future, intelligent cyber-physical fusion system based on big data will become the mainstream direction of rocket vehicle test launch technology, which will further simplify operations, improve efficiency, reduce costs, and achieve the goal of "launch during transport". © 2021 by the International Astronautical Federation (IAF). All rights reserved.

15.
4th International Conference on Education Technology Management, ICETM 2021 ; : 1-7, 2021.
Article in English | Scopus | ID: covidwho-1765152

ABSTRACT

This paper uses VMware virtual machine and ghost technology to design virtual simulation experiment teaching case. In the Vmware virtual machine environment, the approach of project-led and task-driven is used to carry out for related experiments such as computer system construction, BIOS system application and security, hard disk management, operating system installation, system backup and restoration, image and cloning of partition and disk and so on. With OBE as the experimental teaching concept, a comprehensive virtual simulation experimental teaching case is designed. The teaching case design implements CDIO thinking, emphasizes process education, and cultivates the ability to analyze and solve problems. In the teaching process, the ideas of case conception, case design, case implementation, case operation and result analysis and summary are implemented. This virtual simulation experiment teaching case relies on the private cloud server platform in the school, adopts B / S architecture, and is shared and opened through internet, which can facilitate the implementation of online and offline experimental teaching, as well as experimental exercises and assessments. During the COVID-19 epidemic, it provides online experimental teaching environment and student training environment for relevant experimental teaching in courses such as "Computer System Security", "Information Security", "Computer System Maintenance", "Operating System and Application", "Computer Assembly and Maintenance"and other courses. It effectively solves the problems of inconvenience to carry out relevant experimental teaching through physical machine and the inability to carry out experimental teaching and conducting experiments online. It helps to improve the quality and effect of experimental teaching, increase the rate of experimentation and save experimental cost. © 2021 ACM.

16.
2nd International Conference on Computer, Big Data and Artificial Intelligence, ICCBDAI 2021 ; 2171, 2022.
Article in English | Scopus | ID: covidwho-1699820

ABSTRACT

Under the background of the novel coronavirus pneumonia outbreak in the world, unrestricted and contactless finger vein collection devices have significantly improved public health safety. However, due to the unfixed position of the finger and the open or semi-open characteristics of the acquisition device, it is inevitable to introduce plenty of factors that affect the recognition performance, such as low contrast, uneven illumination and edge disappearance. In view of these practical problems, we propose a method for ROI extraction of finger vein images that combines active contour method and morphological post-processing operations. This method starts from the local segmentation, and finally completes the acquisition of finger masks at the global level, and then combines some morphological operations to achieve precise extraction of finger masks. We designed and conducted plenty of comparison experiments on the proposed algorithm and the current mainstream finger vein image ROI extraction methods on three public available finger vein datasets. Experimental results show that our method accurately extracts the complete finger region mask and achieves the best matching accuracy on all datasets. © 2022 Institute of Physics Publishing. All rights reserved.

17.
Engineering Construction and Architectural Management ; ahead-of-print(ahead-of-print):17, 2022.
Article in English | Web of Science | ID: covidwho-1684968

ABSTRACT

Purpose To meet the rapidly increasing demand for medical treatment during the outbreak of COVID-19, Huoshengshan and Leishenshan Hospital are rapidly built (9-12 days) in Wuhan. These two urgent emergency projects are unprecedented. In general, substantial literature suggests that the possibility of shortening a schedule by more than a quarter of its original duration is implausible. By contrast, the two projects had successfully compressed the schedules from months and years to about ten days. This study aims to investigate how this was done and provide references for future projects. Design/methodology/approach The study uses qualitative case study techniques to analyze the project practices in two urgent emergency projects. Data were gathered through semi-structured interviews and archival research. During interviews, interviewees were asked to describe the project practices adopted to overcome the challenges and freely share their experiences and knowledge. Findings The results illustrate that a high degree of schedule compression is achievable through tactful crashing, substitution and overlapping applications. The successful practices heavily rely on the high capacity of participants and necessary organization, management and technology innovations, such as three-level matrix organizational structure, reverse design method, site partition, mock-up room first strategies and prefabricated construction technology. For instance, the reverse design method is one of the most significant innovations to project simplification and accelerate and worthy of promotion for future emergency projects. Practical implications The empirical findings are significant as they evoke new thinking and direction for addressing the main challenges of sharp schedule compression and provide valuable references for future emergency projects, including selecting high-capacity contractors and replacing the conventional design methods with reverse design. Originality/value Substantial studies indicate that the maximum degree of schedule compression is highly unlikely to exceed 25%, but this study suggests that sharp compression is possible. Although with flaws in its beauty (i.e. compressing schedule at the expense of construction cost and quality), it is also a breakthrough. It provides the building block for future research in this fertile and unexplored area.

18.
Frontiers of Law in China ; 16(1):3-34, 2021.
Article in English | Web of Science | ID: covidwho-1370995

ABSTRACT

Previous evidence demonstrates that a public health crisis triggers and intensifies domestic violence, especially against women. The pandemic of COVID-19 supported this observation, as the world witnessed an increase in domestic violence. China has witnessed a similar trend. While the Chinese government is applying a stringent model of virus control measures over COVID-19 when compared to certain other countries, many questions remain . How is this impacting the situation of domestic violence in China? What has China done to combat domestic violence during COVID-19? What can we learn from the Chinese experience? This article intends to answer these questions by reviewing reports and media coverage and conducting interviews with stakeholders. First, it examines causes of domestic violence during COVID-19. Second, it analyses the types and features of domestic violence during COVID-19. Third, the article intends to discover the current difficulties in combatting domestic violence. Fourth, it presents good practices for specific local areas. Last, it concludes with recommendations for tackling domestic violence during public health crises, such as the COVID-19 pandemic, by understanding the Chinese experience.

19.
Frontiers of Law in China ; 16(1):1-2, 2021.
Article in English | Web of Science | ID: covidwho-1370994

ABSTRACT

Y

20.
IEEE Transactions on Network Science and Engineering ; 2021.
Article in English | Scopus | ID: covidwho-1367272

ABSTRACT

COVID-19 is currently a major global public health challenge. In the battle against the outbreak of COVID-19, how to manage and share the COVID-19 Electric Medical Records (CEMRs) safely and effectively in the world, prevent malicious users from tampering with CEMRs, and protect the privacy of patients are very worthy of attention. In particular, the semi-trusted medical cloud platform has become the primary means of hospital medical data management and information services. Security and privacy issues in the medical cloud platform are more prominent and should be addressed with priority. To address these issues, on the basis of ciphertext policy attribute-based encryption, we propose a blockchain-empowered security and privacy protection scheme with traceable and direct revocation for COVID-19 medical records. The security analysis demonstrates that the proposed scheme is indicated to be safe under the Decision Bilinear Diffie-Hellman (DBDH) assumption and can resist many attacks. The simulation experiment demonstrates that the communication and storage overhead is less than other schemes in the public-private key generation, CEMRs encryption, and decryption stages. Besides, we also verify that the proposed scheme works well in the blockchain in terms of both throughput and delay. IEEE

SELECTION OF CITATIONS
SEARCH DETAIL