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1.
Indian Journal of Agricultural Sciences ; 92(4):469-473, 2022.
Article in English | Web of Science | ID: covidwho-2207231

ABSTRACT

To critically assess the performance of micro and small foodpreneurs during COVID-19 pandemic in Manipur state of India, an online survey was conducted during the year 2020. The survey data was subjected to non-parametric statistical analysis using PROC NPAR1WAY and Dwass, Steel, Critchlow-Ffigner multiple comparison analysis. The findings suggested that during COVID-19 pandemic, the micro and small foodpreneurs faced multifaceted challenges with respect to the number of employees, working hours, supply of raw material, selling mode, production, sale, turnover and the extent of loss, etc. The performance of different categories of foodpreneurs was compared based on the change in various performance indicators between pre-pandemic and pandemic period. The study also highlights the major problems faced by the foodpreneurs and remedial measures. This is the first report on the impact of COVID-19 pandemic on foodpreneurs from North East India.

2.
International Journal of Nutrition, Pharmacology, Neurological Diseases ; 12(4):291-299, 2022.
Article in English | EMBASE | ID: covidwho-2201779

ABSTRACT

Background: Life during the COVID-19 pandemic was miserable, most of the people were in a panic situation either because of being affected by COVID-19 or losing their near and dear ones. Majority of Indian population was in the trauma condition impacting physical and mental health directly or indirectly either due to the infection or repeated lockdowns. Aim(s): The present study was carried out to gain knowledge of people's physical and mental health such as anxiety, depression, and stress during the period of the pandemic in the year 2021. Material(s) and Method(s): The standard questionnaires were used to conduct the online survey using google form. The questionnaire contains five sections and collects the information on anxiety, stress, depression, and physical activities. The survey started on May 23, 2021, and ended on June 2, 2021 by circulating the link through emails, WhatsApp, and messages. Result(s): A total of 291 people participated in this survey process and all responses were analyzed, out of which 165 were men and 126 were women. It was calculated that 59.4% of men and 40.6% of women were affected by COVID-19. Total 49.5% of people affected by COVID-19 were in favor of improvement in physical and mental performance while taking dietary supplements. Whereas 19.8% denied the statement and 28.7% of people saw slight changes in their health status. Conclusion(s): During the pandemic people were mostly affected by anxiety, depression, stress, and physical health and to cope with these situations dietary supplements surely be the utilitarian for the society. Through this study, it was found that if a person includes both exercise and nutraceutical products in their lifestyle, there will be a chance of living a sustainable and healthy life. Copyright © 2022 International Journal of Nutrition, Pharmacology, Neurological Diseases Published by Wolters Kluwer - Medknow.

3.
Acs Synthetic Biology ; 27:27, 2022.
Article in English | MEDLINE | ID: covidwho-2185541

ABSTRACT

Proteases are an important class of drug targets that continue to drive inhibitor discovery. These enzymes are prone to resistance mutations, yet their promise for treating viral diseases and other disorders continues to grow. This study develops a general approach for detecting microbially synthesized protease inhibitors and uses it to screen terpenoid pathways for inhibitory compounds. The detection scheme relies on a bacterial two-hybrid (B2H) system that links protease inactivation to the transcription of a swappable reporter gene. This system, which can accomodate multiple biochemical outputs (i.e., luminescence and antibiotic resistance), permitted the facile incorporation of four disease-relevant proteases. A B2H designed to detect the inactivation of the main protease of severe acute respiratory syndrome coronavirus 2 enabled the identification of a terpenoid inhibitor of modest potency. An analysis of multiple pathways that make this terpenoid, however, suggested that its production was necessary but not sufficient to confer a survival advantage in growth-coupled assays. This finding highlights an important challenge associated with the use of genetic selection to search for inhibitors-notably, the influence of pathway toxicity-and underlines the value of including multiple pathways with overlapping product profiles in pathway screens. This study provides a detailed experimental framework for using microbes to screen libraries of biosynthetic pathways for targeted protease inhibitors.

4.
3rd International Conference on Emerging Technologies in Data Mining and Information Security, IEMIS 2022 ; 491:487-496, 2023.
Article in English | Scopus | ID: covidwho-2094553

ABSTRACT

The next-generation cellular network will aim to overcome the existing Fifth Generation (5G) networks’ shortcomings. At the moment, academics and business are concentrating their efforts on the Sixth Generation (6G) network. This 6G technology is expected to be the next great game-changer in the telecommunications sector. Due to the outbreak of COVID-19, the entire globe has turned to virtual meetings and live video interactions in various fields as healthcare, business, and education. We explore the most recent viewpoints and future technology trends that are most likely to drive 6G in this paper. The incorporation of blockchain in 6G, will allow the network to efficiently monitor and manage resource consumption and sharing. We explore the potential of blockchain for sharing in 6G utilizing a variety of application scenarios in the smart city. To strengthen security and privacy in 6G networks, we introduce potential difficulties and solutions with various 6G technologies. In addition, we examine the security and privacy issues that may arise as a result of the current 6G standards and prospective 6G uses. Overall, our study aims to give insightful direction for future 6G security and privacy research. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

5.
Advances in 21st Century Human Settlements ; : 145-176, 2022.
Article in English | Scopus | ID: covidwho-2075311

ABSTRACT

Mumbai, the financial capital of India, has been severely impacted by the COVID-19 pandemic not only in terms of health but also in terms of economic and other spheres. This chapter initiates with the preliminary analysis of the COVID-19 situation and its related challenges in Mumbai megacity and further presents an outline of the journey that the metro-city has trailed during the COVID-19 era. With the advent of the pandemic, several restrictive measures were imposed resulting in abrupt loss of jobs, salary reductions, unavailability of public health infrastructure, closure of finance and educational institutions, closure of economic hubs and transportation systems had severely derailed the ‘business as usual’ of Mumbai, thereby impacting the health and well-being of its citizens. This chapter highlights the impact of restrictive measures such as lockdown, night curfew, containment and quarantine and self-isolation. The impacts of the local and state government initiatives and participation of private enterprises and non-profit organisations in order to curb the crisis, with a focus on special models such as ‘4-T model’ ‘chase the virus’ mission implemented on the mega-slum of Dharavi, were studied. The major difficulties and hurdles that were exposed during this period included dwindling health infrastructure, overcrowding and hyper-density, lack of habitable spaces and sanitation facilities. Lastly, the ‘urban restart’ approaches and innovative initiatives taken by the city development authorities in order to reinvigorate the balance between work and life have also been portrayed on the other hand. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

6.
Lecture Notes on Data Engineering and Communications Technologies ; 137:691-712, 2023.
Article in English | Scopus | ID: covidwho-2075294

ABSTRACT

In this paper, symptoms, and medical treatment data of 130 COVID-19 patients have been collected from a leading Hospital in Kolkata. After necessary de-identification and data wrangling, a thorough exploratory data analysis has been performed. Further, it has been investigated if the drug Remdesivir affects early discharge. A decision tree-based model was subsequently built to predict the length of stay of a patient, based on demographics and health parameters. It is observed that Remdesivir cannot be concluded to be more effective than alternative treatments. It is observed that diabetes significantly increases the length of stay of a patient. It may be noted that such a study has not been conducted earlier for COVID-19 patients in India. This study will be beneficial for healthcare community and pharmaceutical companies as there is lot of conflicting views and acute dearth of information about the disease and its treatment. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

7.
Appetite ; Conference: Proceedings of the SSIB 2021 Annual Meeting. Virtual, 2022.
Article in English | EMBASE | ID: covidwho-2060405

ABSTRACT

Keywords: Video recording, expected satiety, food texture, rheology : Food texture seems to offer a promising strategy for the control of expected satiety, satiety, satiation and daily caloric intake. The aim of this study was to examine the effect of food texture, more specifically the effect of different levels of viscosity, on perceived satiety through an online survey where the viscosity levels of protein-based beverages were visually perceived using a newly developed video-based demonstration. Whey protein beverages were prepared with viscosities being manipulated using xanthan gum and their viscosity and tribological properties were measured instrumentally. Subjects (n=211) watched beverages being poured in videos streamed online and were instructed to imagine drinking them. The results showed that instrumentally measured HV (high viscous) and MV (medium viscous) beverages were visually perceived by the participants as being more satiating immediately and 2 h later after the imagined drinking event as compared to LV (low viscous) beverages (p<0.05). Also, sensory attributes such as visually perceived smoothness, thickness, creaminess and watery were shown to be important factors in the perception of satiety (the creamier or thicker the beverage the higher the perceived satiety scores). Therefore, a video-based online demonstration is a highly feasible and convenient tool to measure the effect of food texture on perceived/expected satiety that can be useful in Covid-19 pandemic situation, latter necessitates online participation in many situations. More importantly, key role of food/beverage texture expressed through visual cues alone, may open new avenues of informing consumers about the degree of the perceived satiety/fullness even before the product is consumed. Copyright © 2022

9.
22nd International Conference on Advanced Learning Technologies, ICALT 2022 ; : 199-200, 2022.
Article in English | Scopus | ID: covidwho-2018787

ABSTRACT

As the hands-on engineering education got severely affected by the lockdown due to the COVID-19 pandemic, the present study discusses how to adopt the Project-Based Learning (PBL) approach to teach complex engineering concepts in this tough time. In this paper, we have discussed the design of a gamified problem statement (using a robotic simulation environment called CoppeliaSim) which was used to teach complex engineering concepts like image processing, control systems, path planning, etc to undergraduate students by a pioneering initiative in engineering education. The study was implemented on 469 teams (1876 students) and explores how the use of a simulation environment impacts the overall performance of teams in completing the assigned problem statement. In addition to this, we have demonstrated the use of a leaderboard to increase learner engagement and motivation in completing the problem statement. Our work is useful to anyone seeking to use PBL to teach and/or learn complex engineering concepts. © 2022 IEEE.

10.
25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021 ; : 1469-1470, 2021.
Article in English | Scopus | ID: covidwho-2012445

ABSTRACT

We present here a bead-based immunoassay which provides a sensitive direct electronic readout without the use of any intermediate optics. Analyte binding to antigen-coated microparticles is converted to probe-directed enzymatically amplified silver metallization on microparticle surfaces. The microparticles are then characterized in a high-throughput manner via electrical impedance spectra captured as they flow through a 3-D printed plastic micro-aperture. Metallized microparticles are found to have unique impedance signatures. This enables an electronic readout of the silver metallization density on microparticle surfaces and hence analyte concentration as well. Here we use this scheme to measure the antibody response to the viral nucleocapsid protein in convalescent COVID-19 patient serum. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

11.
25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021 ; : 123-124, 2021.
Article in English | Scopus | ID: covidwho-2012354

ABSTRACT

We present a multiplexed, electronic enzyme-linked immunosorbent assay (E2LISA) microchip for direct electrical detection and quantitation of multiple biomarkers from a single microliter-scale drop of sample. Spatially distinct spots on the microchip, each containing an interdigitated microelectrode array, are coated with specific capture agents and used to bind different analytes. Enzyme-labeled probes are then used to convert this analyte binding to an electrical impedance signal via the amplified, localized deposition of silver on the nanostructured, catalytic surface of the chip prepared using gold nanoparticles. We use this microchip with a custom handheld, cellphone interfaced reader to detect COVID-19 biomarkers including antigen-specific antibodies and viral antigens. Further, we demonstrate the multiplexed measurement of distinct antibody responses in serum samples from convalescent COVID-19 patients versus uninfected vaccine recipients. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

12.
Journal of SAFOG ; 14(4):356-360, 2022.
Article in English | EMBASE | ID: covidwho-2010442

ABSTRACT

Background: Neutrophil-to-lymphocyte ratio (NLR) is a well-established inflammatory marker that has been studied in COVID-19 inflicted patients. Pregnancy per se is associated with its own physiological changes in hematological parameters. No study has specifically been done on the pregnant population to evaluate the role of various hematological markers for prognosticating the severity of COVID-19 infection. Aim: The aim of this study was to prospectively evaluate changes in NLR and other indices in a cohort of pregnant women with severe and non-severe COVID-19. Materials and methods: Prospective cohort study at a COVID dedicated tertiary care center of a low-middle income country for a period of 6 months involving hospitalized COVID-19 positive pregnant women. Results: In total, 8/8 (100%) and 6/8 (75%) of the pregnant women with severe COVID-19, had a raised NLR and platelet-to-lymphocyte ratio (PLR), respectively, compared to only 3/47 (6.4%) and 1/47 (2.13%) with non-severe COVID-19 (p <0.0001, p <0.0001). These ratios were noted to normalize at 2 and 4 weeks follow-up in the survivors of severe COVID-19. Conclusion: This is the first prospective study demonstrating an association between COVID-19 disease severity in pregnant women and NLR and PLR on admission. These indices may be utilized for prognostication and better preparations for the care of pregnant women hospitalized with COVID-19 infections.

13.
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems ; 30(03):513-540, 2022.
Article in English | Web of Science | ID: covidwho-1978570

ABSTRACT

Large volumes of structured and semi-structured data are being generated every day. Processing this large amount of data and extracting important information is a challenging task. The goal of an automatic text summarization is to preserve the key information and the overall meaning of the article to be summarized. In this paper, a graph-based approach is followed to generate an extractive summary, where sentences of the article are considered as vertices, and weighted edges are introduced based on the cosine similarities among the vertices. A possible subset of maximal independent sets of vertices of the graph is identified with the assumption that adjacent vertices provide sentences with similar information. The degree centrality and clustering coefficient of the vertices are used to compute the score of each of the maximal independent sets. The set with the highest score provides the final summary of the article. The proposed method is evaluated using the benchmark BBC News data to demonstrate its effectiveness and is applied to the COVID-19 Twitter data to express its applicability in topic modeling. Both the application and comparative study with other methods illustrate the efficacy of the proposed methodology.

14.
4th International Conference on Computational Intelligence in Pattern Recognition, CIPR 2022 ; 480 LNNS:11-23, 2022.
Article in English | Scopus | ID: covidwho-1958944

ABSTRACT

To interpret people’s sentiments using Covid 19 twitter data, we discovered that people’s sentiments are distributed across multiple dimensions. Six significant themes were chosen, including administration, disease, healthcare, location, precaution and citizens, because these topics receive a lot of attention on social media. In this paper, we used the modified text rank extractive summarization approach on Covid 19 twitter data to reduce data volume without sacrificing the quality. The keywords are chosen from the pre-processed data set where the frequency of the words exceeds a pre-determined value decided through several trial runs. The goal is to extract the most number of word sets possible from the original tweets. These keywords have been grouped into the six categories listed above. To understand the trend of the topics, all the keywords belonging to a specific topic is searched in the summarised file of a given day, the count of that topic is increased on every successful match of the search. The graphs for the counts of all the themes for each day were then plotted. To identify patterns, seven-day moving average graphs are drawn for each topic. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

15.
3rd International Conference on Advances in Information Communication Technology and Computing, AICTC 2021 ; 392:367-375, 2022.
Article in English | Scopus | ID: covidwho-1872361

ABSTRACT

A digital replica of any physical system or process is referred to as a digital twin (DT). In general, a DT is a software program that accepts real-world data of a physical system at ground level as inputs and creates useful outputs in the form of insights. At the moment, the manufacturing industry and business are concentrating their efforts on this technology. Due to the outbreak of COVID-19, the entire globe has turned to virtual meetings and live video interactions in various fields as health care, business, and education. We explore the most recent viewpoints and future technology trends that are most likely to drive DT in this study. The incorporation of blockchain in DT will allow the network to efficiently monitor and manage resource consumption and sharing. The idea of a digital twin of a smart city is presented in this article. Smart city development aims to enhance not just the city's overall performance, but also its basic infrastructure, procedures, and facilities, as well as its socioeconomic wellbeing. In order to strengthen security and privacy in smart cities, we examine how security may influence the DT. We offer a complete analysis of blockchain-based DT in this article. Overall, our study aims to give insightful direction for digital twin security and privacy research. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

16.
Journal of the American College of Cardiology ; 79(9):2516-2516, 2022.
Article in English | Web of Science | ID: covidwho-1848903
17.
Routledge Handbook of Media Geographies ; : 29-48, 2021.
Article in English | Scopus | ID: covidwho-1835359

ABSTRACT

With the rapidly increasing availability of digital content, the role of digital media has grown in prominence in recent years. Digital media encompass a wide range of technologies and include cell phones, the internet and software applications that power and run on the internet. Despite this diversity, digital content often eludes the reach of much of the world’s population due to global digital divides. This chapter examines digital divides and provides an overview of trends in use of information and communication technologies worldwide and in major world regions. Digital divides of the media, as well as social, economic and political determinants of digital divides, are examined thorough the lens of several theoretical approaches such as the Spatially Aware Technology Utilization Model and frameworks such as the Networked Readiness Index framework of the World Economic Forum. World regions highlighted in terms of their digital disparities and underlying challenges include developed digital nations such as the United States, developing nations in Latin America and the Caribbean, and the nations of Africa. The chapter concludes with a commentary on the role of government policies to bridge digital divides, and proposes a policy research agenda in light of the global COVID-19 pandemic that has accelerated the growth of digital content and media but simultaneously exacerbated challenges for vast populations at the fringes of a global, networked society. © 2022 selection and editorial matter, Paul C. Adams and Barney Warf.

18.
Annals of Surgical Oncology ; 29(SUPPL 1):323-323, 2022.
Article in English | Web of Science | ID: covidwho-1813000
19.
5th International Conference on Electrical Information and Communication Technology, EICT 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1788662

ABSTRACT

Sentiment analysis can largely influence the people to get the update of the current situation. Coronavirus (COVID-19) is a contagious illness caused by the SARS-CoV-2 virus that causes severe respiratory symptoms. The lives of millions have continued to be affected by this pandemic, several countries have resorted to a full lockdown. During this lockdown, people have taken social networks to express their emotions to find a way to calm themselves down. People are spreading their sentiments through microblogging websites as one of the most preventive steps of this disease is the socialization to gain people's awareness to stay home and keep their distance when they are outside home. Twitter is a popular online social media platform for exchanging ideas. People can post their different sentiments, which can be used to aware people. But, some people want to spread fake news to frighten the people. So, it is necessary to identify the positive, negative, and neutral thoughts so that the positive opinions can be delivered to the mass people for spreading awareness to the people. Moreover, a huge volume of data is floating on Twitter. So, it is also important to identify the context of the dataset. In this paper, we have analyzed the twitter dataset for evaluating the sentiment using several machine learning algorithms, where the random forest algorithm achieved the highest accuracy of 93%. Later, we have found out the context learning of the dataset based on the sentiments. © 2021 IEEE.

20.
Journal of the American College of Cardiology ; 79(9):2746, 2022.
Article in English | EMBASE | ID: covidwho-1757980

ABSTRACT

Background: Acute respiratory distress syndrome (ARDS) is characterized by hypoxemia and non-hydrostatic pulmonary edema. While ARDS is associated with a high mortality rate, its conjunction with cardiogenic shock (CS) can lead to devastating outcomes. ARDS is managed via lung protective ventilation with low tidal volumes and positive end expiratory pressures. Prone positioning has emerged as a supplementary strategy with beneficial effects on gas exchange, respiratory mechanics, and hemodynamics. Our case underlines the feasibility of intra-aortic balloon pump counterpulsation (IABP) with concurrent prone positioning in a patient with ARDS and CS. Case: 71-year-old male with history of coronary artery disease, hypertension, hyperlipidemia, and chronic kidney disease, presented to the emergency department with new onset chest pain. EKG showed ST-segment elevations in leads V1-V2 consistent with acute anterior wall myocardial infarction. Patient underwent percutaneous coronary intervention to the left anterior descending artery.Due to worsening hemodynamics and CS, it was decided to place a left axillary IABP. Hospital course was further complicated by acute pulmonary edema and ARDS requiring emergent intubation and mechanical ventilation. Patient was also started on renal replacement therapy given progression of renal failure. Decision-making: Given the onset of ARDS, the patient was placed in prone position for 12-16 hours/day for 5 days. There was no special technique required during proning, other than additional staff to ensure IABP stability. Gradual improvement in hemodynamics was attained, including an increase in cardiac index from 2.1 to 3.4, and a decrease in pulmonary vascular congestion. Conclusion: With the emergence of COVID-19 pandemic, the incidence of ARDS has increased significantly, with simultaneous occurrence of CS in some of these patients. Prone positioning has become one of the main therapeutic modalities in the management of ARDS. Our case highlights the feasibility of axillary IABP while implementing prone positioning in patients with concomitant ARDS and CS.

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