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1.
International Journal of Intelligent Systems and Applications in Engineering ; 10(2):252-259, 2022.
Article in English | Scopus | ID: covidwho-1898088

ABSTRACT

Since the Coronavirus (COVID19) pandemic, all activities have been held digitally, necessitating the surveillance of guests' real-time attendance. Previously, online attendance included getting the list of attendees, which was inconvenient because many people chose to keep silent or leave the meeting completely. As a result, a technique for collecting attendance using facial recognition that can correctly identify participants who remain online for the duration of the lecture is required. The goal of this work is to develop a system named IOSTS, an intelligent online attendance tracking system, that can track attendance while using minimum bandwidth and maintaining user privacy. This proposed work is based on the concepts of facial recognition and edge computing. The entire utility will be run on the client's PC. From random experiments, it is observed that achieving an accuracy of 98 % in facial recognition. This new approach is a foolproof method of tracking attendance and increasing digital transparency. © 2022, Ismail Saritas. All rights reserved.

2.
Journal of Scientometric Research ; 11(1):47-54, 2022.
Article in English | Web of Science | ID: covidwho-1897066

ABSTRACT

This study aims to analyze the dynamics of the published articles and preprints of Covid-19 related literature from different scientific databases and sharing platforms. The PubMed, ScienceDirect, and ResearchGate (RG) databases were under consideration in this study over a specific time. Analyses were carried out on the number of publications as (a) function of time (day), (b) journals and (c) authors. Doubling time of the number of publications was analyzed for PubMed "all articles" and ScienceDirect published articles. Analyzed databases were (1A) PubMed (01/12/2019-12/06/2020) "all_articles" (16) PubMed Review articles) and (1C) PubMed Clinical Trials (2) ScienceDirect all publications (01/12/2019- 25/05/2020) (3) RG (Article, Pre Print, Technical Report) (15/04/2020 - 30/4/2020). Total publications in the observation period for PubMed, ScienceDirect, and RG were 23000, 5898 and 5393 respectively. The average number of publications/day for PubMed, ScienceDirect and RG were 70.0 +/- 128.6, 77.6 +/- 125.3 and 255.6 +/- 205.8 respectively. PubMed shows an avalanche in the number of publications around May 10, the number of publications jumped from 6.0 +/- 8.4/day to 282.5 +/- 110.3/ day. The average doubling time for PubMed, ScienceDirect, and RG was 10.3 +/- 4 days, 20.6 days, and 2.3 +/- 2.0 days respectively. The average number of publications per author for PubMed, ScienceDirect, and RG was 1.2 +/- 1.4, 1.3 +/- 0.9, and 1.1 +/- 0.4 respectively. Subgroup analysis, PubMed review articles mean review <0 vertical bar 17 +/- 17 vertical bar 77> days: and reducing at a rate of -0.21 days (count)/day. The number of publications related to the COVID-19 until now is huge and growing very fast with time. It is essential to rationalize and limit the publications.

3.
2nd International Conference on Intelligent and Cloud Computing, ICICC 2021 ; 286:3-15, 2022.
Article in English | Scopus | ID: covidwho-1826293

ABSTRACT

Recently, due to COVID-19 pandemic, the classes, seminars, meetings are scheduled on virtual platform. It is a need to keep track of the presence of attendees. Earlier online attendance involved extracting the list of attendees, which was inconvenient as a lot of people mute themselves and leave the meeting altogether. Therefore, a tool is required to capture attendance through facial recognition which can effectively identify the attendees who remain online for the whole duration of the lecture. In this paper, a method has been proposed to completely automate the attendance tracking system using the concept of edge computing. The tool runs alongside any video conference platform and tracks the faces of attendees in a random interval, and using face recognition technique, find out the people who remain present for the complete duration of the class. This novel method acts as a fail-proof method to monitor attendance and improve digital transparency. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

4.
Contemporary South Asia ; : 14, 2021.
Article in English | Web of Science | ID: covidwho-1510769

ABSTRACT

During the current pandemic, gender non-conforming communities (GNCs) in India have been engaging themselves as critical citizens through a demonstration of civic engagement and social responsibility. This paper, based on narratives, documentary evidence and media reports, demonstrates how GNC volunteers are playing a decisive role in accentuating the virtues of representative democracy by serving as 'monitorial citizens' in India. It also considers the social dynamics involved in GNC people becoming 'monitorial' in a heteronormative society. This means consolidation of their community network and its strategic and instrumental use not just to serve their community, but also a diverse cis-gendered population consisting of migrants, homeless, marginalized, and the poor. In this process, they are creating a shared sense of belonging, based on mutual experiences of discrimination, with other communities that are not categorized as gender non-conforming. Their actions also challenge the normative standards set by mainstream society and create an alternative to existing power hierarchies by capsizing the heteronormative 'gaze'.

5.
SAR QSAR Environ Res ; 32(6): 473-493, 2021 Jun.
Article in English | MEDLINE | ID: covidwho-1236142

ABSTRACT

COVID-19 is the most unanticipated incidence of 2020 affecting the human population worldwide. Currently, it is utmost important to produce novel small molecule anti-SARS-CoV-2 drugs urgently that can save human lives globally. Based on the earlier SARS-CoV and MERS-CoV infection along with the general characters of coronaviral replication, a number of drug molecules have been proposed. However, one of the major limitations is the lack of experimental observations with different drug molecules. In this article, 70 diverse chemicals having experimental SARS-CoV-2 3CLproinhibitory activity were accounted for robust classification-based QSAR analysis statistically validated with 4 different methodologies to recognize the crucial structural features responsible for imparting the activity. Results obtained from all these methodologies supported and validated each other. Important observations obtained from these analyses were also justified with the ligand-bound crystal structure of SARS-CoV-2 3CLpro enzyme. Our results suggest that molecules should contain a 2-oxopyrrolidine scaffold as well as a methylene (hydroxy) sulphonic acid warhead in proper orientation to achieve higher inhibitory potency against SARS-CoV-2 3CLpro. Outcomes of our study may be able to design and discover highly effective SARS-CoV-2 3CLpro inhibitors as potential anticoronaviral therapy to crusade against COVID-19.


Subject(s)
Antiviral Agents/pharmacology , COVID-19/drug therapy , Coronavirus 3C Proteases/antagonists & inhibitors , Protease Inhibitors/pharmacology , SARS-CoV-2/drug effects , Coronavirus 3C Proteases/chemistry , Drug Design , Drug Discovery , Models, Molecular , Protease Inhibitors/chemistry , Quantitative Structure-Activity Relationship , SARS-CoV-2/enzymology
6.
J. Phys. Conf. Ser. ; 1797, 2021.
Article in English | Scopus | ID: covidwho-1139939

ABSTRACT

Corona virus (COVID-19) outbreaks have severely disrupted the economy, with devastating effects on global trade and it has simultaneously affected households, businesses, financial institution, industrial establishments and infrastructure companies. The economic crisis caused by the virus has hit many more organizations around the world. Similarly, construction and engineering projects around the world have been jeopardize in various way by the COVID-19 pandemic and many projects have closed. As a result, there has been a financial recession in the construction industry in almost all countries and has created unemployment. All in all, this situation has caused great concern, uncertainty and unrest in the construction industry. This paper observes in several countries and describes the global impact of the Corona virus on the construction industry. This paper also explains how it is possible to continue construction work in this situation. If construction work continues, the economic downturn will be reduced and unemployment will be reduced. © 2021 Institute of Physics Publishing. All rights reserved.

7.
Value in Health ; 23:S726, 2020.
Article in English | EMBASE | ID: covidwho-988664

ABSTRACT

Objectives: To provide a rapid overview of the evidence on the epidemiology, burden, and management of ARDS, including COVID-19. Methods: We conducted a focused search of MEDLINE, Embase,, and key HTA and regulatory sites for primary research, guidelines and HTA reports on the epidemiology, economic and humanistic burden, management, and unmet needs in ARDS. Titles and abstracts were screened and indexed to give priority to HTA and SLRs and larger more recent studies. Included studies were added to an Evidence Map and relevant data was summarised. Results: The shortlist included 485 articles, of which 113 were ongoing trial protocols. We also included 13 guidelines, 19 HTA documents, 18 RCTs, and 17 narrative reviews. ARDS affects 1 to 10% of patients in ICU and mortality rates are 20 to 30%. Risk factors include trauma, pneumonia, and sepsis. No intervention has been shown to significantly reduce mortality, and improvement in overall rates of mechanical ventilation were minimal. Survivors and caregivers have impaired quality of life. 30 to 40% of survivors, and 30% of caregivers, suffer with neuropsychiatric problems, and fewer than 50% of survivors have returned to work 12 months post-discharge. Other unmet needs include diagnosis issues, poor communication of prognosis and a lack of discussion of patient preferences. One third of ongoing trials and articles published in the last year were related to COVID-19, with interventions assessed including angiotensin II receptor blockers, stem cells, corticosteroids, and hydroxychloroquine. Conclusions: The review highlighted the long-term burden of survivors, in terms of employment issues, psychological well-being, PTSD, as well as the negative impact on caregivers. The review also highlighted patient subgroups with differences in symptom severity, prognosis, and subsequent cost implications. The Evidence Map allows a rapid investigation of the area and, by highlighting gaps, could help guide and inform future research.

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