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1.
10th International Conference on Reliability, Infocom Technologies and Optimization ,Trends and Future Directions, ICRITO 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2191925

ABSTRACT

The world has been rapidly devastated by the Covid-19 virus, which first appeared in the Republic of China. For medical imaging, deep learning-based algorithms show promising results for quick and accurate diagnosis. Various research has been done for the earlier diagnosis of the disease using various deep learning models. Researchers use different medical imaging for the classification of COVID-19. This study explores COVID-19 diagnosis using a chest X-Ray. The Chest X-Ray images were classified with the help of transfer learning using VGG16, DenseNet, and MobileNet. To ensure better results Ensemble Learning is incorporated to provide a strong learner by using the aggregation of weak learners. These models are trained on three different classes of patients: COVID-19, Pneumonia, and Normal. The final testing results using ensembling aggregation show an overall accuracy of 95.2%, which is significantly higher than the model performances individually. The result obtained through the proposed model can be used in conjunction with the X-Ray images to classify COVID-19, thus the process can be implemented as an alternative to RT-PCR. © 2022 IEEE.

2.
Metallomics : integrated biometal science ; 04, 2023.
Article in English | EMBASE | ID: covidwho-2189399

ABSTRACT

Metalloproteins are well-known for playing various physicochemical processes in all life forms, including viruses. Some life-threatening viruses (such as some members of the coronaviridae family of viruses) are emerged and remerged frequently and are rapidly transmitted throughout the globe. This study aims to identify and characterize the metal-binding proteins of the coronaviridae family of viruses and further provides insight into the metal-binding protein's role in sustaining and propagating viruses inside a host cell and in the outer environment. In the present study, the available proteome of the coronaviridae family was exploited. Identified potential metal-binding proteins were analyzed for their functional domains, structural aspects, and sub-cellular localization. We also demonstrate phylogenetic aspects of all predicted metal-binding proteins among other coronaviridae family members to understand the evolutionary trend among their respective hosts. A total of 256 proteins from 51 different species of coronaviruses are predicted as metal-binding proteins. These metal-binding proteins perform various key roles in the replication and survival of viruses within the host cell. Cysteine, aspartic acid, threonine, and glutamine are key amino acid residues interacting with respective metal ions. Our observations also indicate that the metalloproteins of this family of viruses circulated and evolved in different hosts, which supports the zoonotic nature of coronaviruses. The comprehensive information on metal-binding proteins of the coronaviridae family may be further helpful in designing novel therapeutic metalloprotein targets. Moreover, the study of viral metal-binding proteins can also help to understand the roles of metal-binding proteins in virus pathogenesis and virus-host interactions. Copyright © The Author(s) 2023. Published by Oxford University Press.

3.
Current Research in Biotechnology ; 4:564-578, 2022.
Article in English | EMBASE | ID: covidwho-2177931

ABSTRACT

Electrochemical biosensors are analytical devices that hold a current across the surface of an electrode on which biological receptors are immobilized. These devices enable the conversion of physio-biochemical reactions by biological molecules into electron movements, so the output can be observed as the flow of charge across the electrode. These biosensing platforms detect changes in the reactive and resistive properties of the electrode surface when an alternating current (AC) or voltage is applied to output signals. Impedance-based electrochemical biosensors have advantages compared with other biosensors, such as high sensitivity, low cost, and ease of operation. In addition to uses as miniature detection tools, biosensors and microfluidics play vital roles in nano-diagnostics. Many sensors have been developed at the nanoscale by exploiting the greater conductivity across the electrodes and improved specificity for biorecognition element-receptor binding in biosensing devices. Several of these sensors have been assessed in trials and emerged as clinical products for detecting and diagnosing diseases, bacteria, viruses, deficiencies, and biofluid malfunctions in the human body. This review summarizes advances in impedance-based biosensors and their working principles and classifications, as well as providing relevant illustrations by focusing on the essential biorecognition elements, receptors, and target molecules during diagnosis. Copyright © 2022 The Authors

4.
Materials Horizons: From Nature to Nanomaterials ; : 167-197, 2022.
Article in English | Scopus | ID: covidwho-2173865

ABSTRACT

A deadly novel coronavirus disease or severe acute respiratory syndrome (COVID-19 or SARS-CoV-2) has taken the entire globe in its grip and claimed over more than 0.1 million lives across the globe in barely four months of time. This has attracted researchers, medical practitioners, scientists, biologist's fraternity, etc. all over the world to join hands in fighting the pandemic. Therefore, a detailed study in the field of coronavirus, especially related to the research status and gaps under a common umbrella, will further help in understanding and improving the current scenario. In the present paper, the scientometric analysis technique was utilized for understanding the recent research activities, scientific trends, and global involvement in the research on coronavirus. Herein, Web of Science database was used for searching the documents. The "articles” in the "English” language were considered in the study. The VoSviewer software was used for carrying out the scientometric analysis. The scanning of the research publication status on a year-on-year basis suggested an increase in the field of research on coronavirus in the recent past. From 2000 till 2020, a total of 9257 number of research articles were published. Among all other countries, USA has the most number of documents published. Analysis of the journals, authors, organizations, funding agencies of the countries and their co-operation network were also analyzed based on citations. Further, co-occurrence analysis of the different keywords suggested that coronavirus related diseases are known to precipitate severe acute respiratory syndrome in the patients. This is also true in the case of COVID-19. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

5.
Materials Horizons: From Nature to Nanomaterials ; : 21-52, 2022.
Article in English | Scopus | ID: covidwho-2173858

ABSTRACT

Personal protective equipment designated as PPE is considered to be the most important protective equipment designed for safeguarding both public and personal health against infectious microbial agents other toxic materials. This chapter gives an overview about the importance and use of the personal protective equipment (PPE) as coronavirus shielding material. The various contents of the chapter focused on different types of PPE, its formation, and preparation. The importance and values of personal protective equipment (PPE) are also included in the chapter. The details of disposing of contaminated PPE are included along with the discussion about annual procurement (demand) for PPE via UNICEF. The Indian scenarios as well the world scenario about the availability of PPE are also investigated. Also, the future perspective of the PPE market is also discussed. The polymers which are used in the manufacturing of PPE kits take part in a vital character from the prevention of the disease. The global overview is also presented which focuses on the production rate of PPE along with the materialistic points of the polymers which have been used. Globally, the demand for PPE kits is at a high inclined position since the coronavirus pandemic is widely affected. PPE is considered as the last line of defence which protects the workers against the hazards. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

6.
Research Journal of Pharmacy and Technology ; 15(12):5467-5472, 2022.
Article in English | EMBASE | ID: covidwho-2207046

ABSTRACT

World is facing a new pandemic called covid-19SARS-CoV-2) since a year ago. Unfortunately there is no treatment for Covid 19 nowadays as well as no potential therapies has been developed to overcome from coronavirus pandemic. Some potential drug molecules with combination have ability to respond for covid19 virus. From the research it was found that the reduction of viral load can be treated with hydroxychloroquine and azithromycin combination. We evaluate the mode of interactions of hydroxychloroquine and azithromycin with the dynamic site of SARS-CoV-2 coronavirus main protease. Molecular Structure-based computational approach viz. molecular docking simulations were performed to scale up their affinity and binding fitness of the docked complex of novel SARS-CoV-2 coronavirus protease and hydroxychloroquine and azithromycin. The natural inhibitor N3 of novel SARS-CoV-2 coronavirus protease were exhibited highest affinity in terms of MolDock score (-167.203Kcal/mol), and hydroxychloroquine was found with lowest target affinity (-55.917 Kcal/mol).The amino acid residue cysteine 145 and histidine 41 is bound covalently and formed hydrogen bond interaction with SARS-CoV-2 inhibitor known as inhibitor N3 as such, hydroxychloroquine and azithromycin also formed hydrogen bond interaction. The binding patterns of the inhibitor N3 of SARS-CoV-2 coronavirus main protease could be used as a guideline for medicinal chemist to explore their SARS-CoV-2 inhibitory potential. Copyright © RJPT All right reserved.

7.
Indian J Ophthalmol ; 71(1):39-56, 2023.
Article in English | PubMed | ID: covidwho-2201790

ABSTRACT

This study aimed to review the current literature for epidemiology, pathogenesis, clinical spectrum and management of rhino-orbito-cerebral-mucormycosis (ROCM), especially highlighting the association between ROCM and COVID-19 disease and factors resulting in its resurgence during the pandemic. Mucormycosis is a rare, but an important emerging opportunistic fungal infection, often associated with high morbidity and mortality. ROCM is the commonest and also the most aggressive clinical form occurring in debilitated patients in conjunction with sinus or para-sinus involvement due to the propensity for contiguous spread. Recently ROCM has shown an unprecedented resurgence during the current pandemic. Reports from different parts of the world indicated an increased risk and incidence of ROCM in patients who had required hospital admission and have recovered from moderate-to-severe COVID-19 disease. A majority of mucormycosis cases have been reported from India. The presence of diabetes mellitus (DM) and use of corticosteroids for COVID-19 pneumonia were found to be the key risk factors, resulting in higher mortality. Amidst the ongoing pandemic, with the third wave already having affected most of the world, it becomes imperative to adopt a risk-based approach toward COVID-19 patients predisposed to developing ROCM. This could be based on the most recently published literature and emerging data from centers across the world. The present review intended to elucidate the causes that brought about the current spike in ROCM and the importance of its early detection and management to reduce mortality, loss of eye, and the need for mutilating debridement.

8.
Journal of Pharmaceutical Negative Results ; 13:2907-2914, 2022.
Article in English | EMBASE | ID: covidwho-2156373

ABSTRACT

In COVID-19 is the most significant issue for the human community. The virus is easily converted into a new variant, which behaves differently from the previous one. Besides its changing behavior, its transmission and infection rate are very high which causes high death rate. It is a very challenging situation for the healthcare system to early diagnosis of diseases so that predict the transmission growth of virus the number of new, confirmed, recovered, and dead cases can be reduced. To deal with these issues, some prediction tools are required which can help to test and find the cause of existing cases so that it can help the effective and rapid arrangement to overcome the pandemic. To address this issue, we propose a symptom-base Recommendation System which are tested over the dataset by applying the concept of Machine Learning algorithms. In this work, we test our proposed system by suing various machine learning algorithm like LR, SVM, Navie Bays,KNN,Random Forest etc. The experimental results reveal that the proposed system is capable to diagnose the disease accurately approximate 99%. Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.

9.
International Journal of Academic Medicine and Pharmacy ; 4(5):392-395, 2022.
Article in English | EMBASE | ID: covidwho-2156289

ABSTRACT

Background: To assess effectiveness of Bain's circuit attached to a NIV mask for assisting spontaneous ventilation. Material(s) and Method(s): Fifty- six adult COVID- 19 patients were divided into 2 groups of twenty- eight each. In group I, patients were ventilated using the modified Bain's circuit attached to an appropriately sized NIV mask and in group II patients were continued on ventilation using BiPAP. Hemodynamic variables such as partial pressure of CO2 (pCO2), partial pressure of O2 (pO2), SO2, heart rate and pH values were recorded at baseline, after 30 minutes and after 2 hours. Result(s): There was non- significant difference in mean heart rate, SpO2, pH, pO2, pCO2 and SO2 at baseline, after 30 minutes after 2 hours in group I and group II (P> 0.05). Conclusion(s): Modified Bain's circuit can be considered as an alternative to non-invasive ventilation in COVID- 19 patients. Copyright © 2022 Necati Ozpinar. All Rights Reserved.

10.
Principles of Entrepreneurship in the Industry 4.0 Era ; : 139-152, 2022.
Article in English | Scopus | ID: covidwho-2162467

ABSTRACT

The world is experiencing a start-up revolution like never before with an upsurge in new venture formation across the globe. The fresh breeze of air is the result of the government‘s stand and policies regarding start-ups and start-up culture in different countries. Even during the Covid-19 crisis, start-ups have continued to play a crucial role for economies. The main objective of this work is to establish the future directions for start-ups. For this reason, the study includes the cases of start-ups that flourished amid the pandemic. It has been found that the use of technology has helped a lot in growth of entrepreneurship and in the last two years the technical sector has had a boost. The paper provides an insight to the future potential for the upcoming start-ups and also discusses the path towards growth. © 2023 Taylor and Francis Group, LLC.

11.
Journal of Family Medicine and Primary Care ; 11(9):5718-5719, 2022.
Article in English | GIM | ID: covidwho-2144209
12.
Journal of Family Medicine and Primary Care ; 11(9):5706-5707, 2022.
Article in English | CAB Abstracts | ID: covidwho-2144208
13.
Journal of Family Medicine and Primary Care ; 11(9):5708-5709, 2022.
Article in English | CAB Abstracts | ID: covidwho-2144206
14.
Pediatric Diabetes ; 23(Supplement 31):50-51, 2022.
Article in English | EMBASE | ID: covidwho-2137176

ABSTRACT

Introduction: At the onset of the COVID-19 pandemic, there was limited data and conflicting evidence regarding the effect of the pandemic on type 1diabetes (T1DM). It was expected that there may be adverse effects on glycemic control and mortality, more so in developing countries like India, with the additional burden of the lockdown on economy and health care. Subsequently, adult and pediatric data from developed countries regarding glycemic control in patients with T1DM were reassuring. Indian data, as well as data from other developing countries from pediatric T1DM addressing such issues are sparse and have conflicting conclusions. Furthermore, possible factors influencing glycemic control were not evaluated by most reports from our country. Objective(s): We evaluated the effect of the 2020 lockdown on glycemic control and lifestyle of children withtype1diabetes (T1DM). Method(s): Children and young adults with T1DM (n = 104, mean +/- SD age 13.4 +/- 4.5 years), were questioned telephonically, regarding access to health care, insulin, food and lifestyle changes during lockdown. Pre and post lockdown HbA1c, body weight, and modifying factors were analyzed. Result(s): A change in brand of insulin was necessary in 54% and physiologically wrong insulin was being used in 4.8% patients. HbA1c improved significantly post lockdown versus the 1 year pre-COVID average (7.59 +/- 1.77 vs. 8.61 +/- 1.80, p < 0.05). Parents attributed it to better supervision by (both) parents due to their presence at home, and less opportunity to consume energy dense food. Median (IQR) home blood glucose testing frequency was significantly low during lockdown [14(15) vs. 21.5(3.7) pre-lockdown, p < 0.001]. Decreased exercise occurred in 40% and excess weight gain in 51.5%. Conclusion(s): Despite problems of access to health care and adverse lifestyle conditions, improved parental supervision and meal quality and timing had favorable effect on diabetes management, which is reflected by improvement of HbA1c in a small cohort of our children.

15.
2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2136312

ABSTRACT

COVID-19 pandemic has led to an international health emergency the WHO considers wearing a face mask an appropriate form of public health protection. This work will describe a face mask identification model that incorporates both deep and traditional machine learning techniques. Parts of the suggested model can be divided into two. Using Resnet50, the initial part of the system is set up for feature extraction. The second component classifies face masks using decision trees, support vector machines (SVMs), and the ensemble approach. The research will focus on three face-masked datasets. The Real-World Masked Face Dataset Includes three datasets: real-world masked faces, simulated faces, and wild faces (LFW). 99.64% of RMFD's SVM classifier is accurate throughout testing.. It achieved a 99.49% accuracy rate in SMFD and a 100% accuracy rate in LFW. © 2022 IEEE.

16.
Jundishapur Journal of Microbiology ; 15(1):4158-4172, 2022.
Article in English | CAB Abstracts | ID: covidwho-2125954

ABSTRACT

Indian law does not allow same-sex marriage, so homosexual couples cannot adopt a child. The law makes it illegal for LGBTQ+ couples to adopt a child and raise it together, showing that they are not equally treated with dignity and respect in the eyes of the law. As a result, adoption is prohibited for LGBTQ+ couples because the child should not be raised in a "inadequate environment". However, it is surprising that the legislation permits a child to be grown as an orphan without both parents and family instead of grown by LGBTQ+ couples. Despite the fact that LGBTQ+ couples are prohibited to adopt a child, the ratio of orphans is increasing day by day in India. In India, as per the study UNICEF, we came to know that there are more than 29.6 million abandoned and orphaned children, a certain figure is predicted to reach 24 million i.e., almost 4% of the youth population, and unfortunately there are very low adoption rate in our country. During the Covid-19 pandemic in 2020, there are more than thousands of children have been abandoned, and still, the real number of abandoned children is not known. Also, according to the government of India, the report was submitted to the Supreme Court in 2012, the number of LGBTQ people in India is about 2.5 million at that time, even the strength is huge but there is no official data about the LGBTQ population. Refusal the right of adoption to people of LGBTQ+ community affects their dignity because prejudice is focused on their ability gender identity rather than their ability or worth as parents.

17.
Histopathology ; 81:177-177, 2022.
Article in English | Web of Science | ID: covidwho-2084255
18.
Ambient Science ; 9(2):79-82, 2022.
Article in English | Web of Science | ID: covidwho-2072362

ABSTRACT

When the world is largely focused on battling the Delta spread, On 26 November 2021 WHO announced the new Covid-19 variant, which is highly mutated. That is called Omicron, which is a serious variant of the subject. The current study examines and compares the changes in SARS-CoV-2, Alpha to Omicron. In these mentioned variants, we observed mutations that could have an impact and alter. Its activity with Spike protein, with to negotiated Omicron affected countries situation in review, has focused on the evolution of SARS-CoV2 variants, the vaccine efficacy and rt PCR testing. This review is to focus on special strategies to boom vaccine recognition against Omicron, an important theme of covid-19 situations. These views on overcoming the pandemic's modern-day demanding situations provide strategies to include SARS-CoV-2 globally.

19.
NeuroQuantology ; 20(10):7194-7203, 2022.
Article in English | EMBASE | ID: covidwho-2067312

ABSTRACT

As with any crucial industry, education has been severely impacted by COVID-19 from its emergence in late December 2019. Schools, colleges, and universities have all been significantly impacted. Over 800 million students worldwide are affected, and 102 countries have ordered nationwide school closures while 11 have implemented localised school closures, according to the United Nations Educational, Scientific and Cultural Organization (UNESCO). “Every catastrophe is also an opportunity” (Thomas Shelby) The closure of academic institutes professed and analysed the importance of e-learning.Online e-learning can be used as an alternative to traditional face-to-face instruction. Many schools, universities and teaching-learning fraternity have started using e-learning to meet the needs of students, especially non-traditional students who work full-time or those who are in remote areas. Since e-learning makes use of the Internet and World Wide Web, the learning environment becomes more advanced. Estimating the effect of e-learning on academic achievement is the aim of this research. The research has been carried out with the teachers view point as to which tools and techniques a teacher uses in e-learning and how effective are they? Seven characteristics of e-learning were found from the literature review as also from face to face interviews with teachers, students and other stake holders such as parents and curriculum designers Taking academic achievement of students as dependent variable and these seven characteristics as independent variable a regression analysis was carried out. Though all characteristics were found to be significantly influencing academic achievement, further analysis was done to find the most important and the least important amongst these.

20.
Industry 4.0 and Intelligent Business Analytics for Healthcare ; : 299-308, 2022.
Article in English | Scopus | ID: covidwho-2058606

ABSTRACT

COVID-19 pandemic was announced by the “World Health Organization” in March 2020. There are many developments done in modern healthcare systems to handle this pandemic. Blockchain is a modern technology used in healthcare systems to provide transparency in resource allocation, deployments, and several recovered, dead, and affected people from COVID-19 Blockchain technology for financial and non-financial sectors. As we know that falsification in the number of COVID-19 records of different countries has enormously increased, the current health care systems cannot provide integrity and authenticity. Thus, developing a blockchain-based model to provide non-volatility of information received from authenticated organizations like WHO is required. In this chapter, we have proposed a blockchain-based model to anticipate transparency of COVID-19 records through smart contract and web services to track new and recovered cases of COVID-19, which are obtained from trusted sources. Results verify that the proposed model is economical and ensures the integrity of the data. © 2022 Nova Science Publishers, Inc.

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