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Blockchain based microgrid mechanisms can be designed efficiently to provide uninterrupted power supply and to balance load demands dynamically. In this present work, a conceptual design of a microgrid system is proposed in power system modeling. A blockchain based trading mechanism has been implemented on this system. Various optimization algorithms have been used to maximize economic profit. Finally, the Coronavirus Herd Immunity Optimizer (CHIO) algorithm is described to accommodate the impression that arises for the optimal power flow (OPF) and energy capacity. A case study has been provided to authenticate the performance of this method. The result expresses that the present scheme can largely improve the power dispatch and trading system. © 2022 IEEE.
ABSTRACT
The COVID-19 pandemic has been accompanied by such an explosive increase in media coverage and scientific publications that researchers find it difficult to keep up. So we are working on COVID-19 dataset on Omicron variant to recognise the name entity from a given text. We collect the COVID related data from newspaper or from tweets. This article covered the name entity like COVID variant name, organization name and location name, vaccine name. It include tokenisation, POS tagging, Chunking, levelling, editing and for run the program. It will help us to recognise the name entity like where the COVID spread (location) most, which variant spread most (variant name), which vaccine has been given (vaccine name) from huge dataset. In this work, we have identified the names. If we assume unemployment, economic downfall, death, recovery, depression, as a topic we can identify the topic names also, and in which phase it occurred. © 2022 IEEE.
ABSTRACT
Various health agencies, such as the European Medical Agency (EMA), Centers for Disease Control and Prevention (CDC), and World Health Organization (WHO), timely cited the upsurge of antibiotic resistance as a severe threat to the public health and global economy. Importantly, there is a rise in nosocomial infections among covid-19 patients and in-hospitalized patients with the delineating disorder. Most of nosocomial infections are related to the bacteria residing in biofilm, which are commonly formed on material surfaces. In biofilms, microcolonies of various bacteria live in syntropy;therefore, their infections require a higher antibiotic dosage or cocktail of broad-spectrum antibiotics, aggravating the severity of antibiotic resistance. Notably, the lack of intrinsic antibacterial properties in commercial-grade materials desires to develop newer functionalized materials to prevent biofilm formation on their surfaces. To devise newer strategies, materials prepared at the nanoscale demonstrated reasonable antibacterial properties or enhanced the activity of antimicrobial agents (that are encapsulated/chemically functionalized onto the material surface). In this manuscript, we compiled such nanosized materials, specifying their role in targeting specific strains of bacteria. We also enlisted the examples of nanomaterials, nanodevice, nanomachines, nano-camouflaging, and nano-antibiotics for bactericidal activity and their possible clinical implications.Copyright © 2023 The Author(s)
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This chapter gives a detailed presentation of the theoretical background and computational approaches to the utility of alignment-free sequence descriptors and multidimensional variable reduction methods in the characterization and visualization of biological sequence data. The utility of such novel methods developed by the authors of this chapter is shown using data on case studies of severe acute respiratory syndrome, Middle East respiratory syndrome, Coronavirus disease-2019, and Zika viruses. © 2023 Elsevier Inc. All rights reserved.
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The Covid-19 pandemic has impacted the economic activities of the tourism sector ever since the global pandemic was announced in March 2020 by the World Health Organization. This paper examines research articles specifically relating to tourism and Covid-19 from the announcement of the pandemic by conducting a bibliometric analysis to extract the research focus and areas of interest for the tourism sector during the nascent phase pandemic. It also examines the main authors, highest number of publications and co-occurrences of keywords to bring out themes of the research articles. It uses VOSviewer analysis to evaluate the data in the form of a cluster analysis. A total of 542 authors were identified in the 178 articles published in 7 tourism journals. The results of the study find a cluster of keywords in the form of business, intentions, employee and destinations that are correlated in tourism and Covid-19 studies. Themes such as trust, innovation, employee welfare, psychological faculties, conflicts, anxiety during pandemic and ways to meet the possible hurdles in post-Covid are found to be predominantly studied and most of the articles were published in 2021. Despite the limited time frame of the study, the results are relevant to understanding the negative impact of the pandemic on the tourism industry. © 2022, Thammasat University. All rights reserved.
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The third Industrial Revolution brought about major changes in the lives of people. But people were too late to realize that the impact of the Revolution had an adverse effect on the environment and the biodiversity. With more and more industries and automobiles thriving around, improper waste management techniques, and increasing deforestation, the air quality started declining rapidly. Higher AQI level indicates poorer air quality and vice-versa. The Corona Virus Disease or Covid-19 is a pandemic that has claimed millions of lives till date. To contain its spread, countries are imposing nationwide lockdowns. With the imposition of lockdown, life came to a still. Almost everything flourished online pertaining to which, the air quality started getting better and better. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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The year 2020 will be remembered a battle for existence of mankind against a super spreading virus Covid-19. While health-workers fought from the front, power industry stood like backbone to ensure proper support to handle the crisis. The covid-19 brought lots of changes in people's sociocultural, economic, day to day life. The fear of the pandemic along with its counter measure pushed many people to work from home. On the other hand, health care industry faced an unprecedented demand of oxygen, medicine, transportation, PPE, life support system etc. In this paper it has been shown that how the pandemic affected the different regions of Indian power industry by changing energy and power demand, load pattern, generation resource sharing and creating transients. Also, it describes how Indian Power Industry stood tall by successfully handling all these unprecedented situations. © 2021 IEEE.
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The design and discovery of drugs and vaccines for COVID-19 as well as clinical trials have been in the news for quite some time now. With limited sizes of control and test groups, a series of randomized experiments can help develop a new drug, and once it is out in the market, its effectiveness can be verified using real-world data. Therefore, the requirement of real-world analysis has become crucial. Propensity score methods, which have provided great values in observational studies over the years, are frequently used to estimate causal treatment effects. However, these methods are not without their challenges and limitations. In this study, an alternative technique to propensity score called sample substitution method has been proposed for multi-group comparison in real-world evidence analysis. The proposed method can act as a useful mechanism to evaluate and compare the performance of a drug or any product against others accurately and help make informed business decisions. The paper also suggests how this modified method can be applied to other industries and functions. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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In this paper we report on CO2 Meter, a do-it-yourself carbon dioxide measuring device for the classroom. Part of the current measures for dealing with the SARS-CoV-2 pandemic is proper ventilation in indoor settings. This is especially important in schools with students coming back to the classroom even with high incidents rates. Static ventilation patterns do not consider the individual situation for a particular class. Influencing factors like the type of activity, the physical structure or the room occupancy are not incorporated. Also, existing devices are rather expensive and often provide only limited information and only locally without any networking. This leaves the potential of analysing the situation across different settings untapped. Carbon dioxide level can be used as an indicator of air quality, in general, and of aerosol load in particular. Since, according to the latest findings, SARS-CoV-2 can be transmitted primarily in the form of aerosols, carbon dioxide may be used as a proxy for the risk of a virus infection. Hence, schools could improve the indoor air quality and potentially reduce the infection risk if they actually had measuring devices available in the classroom. Our device supports schools in ventilation and it allows for collecting data over the Internet to enable a detailed data analysis and model generation. First deployments in schools at different levels were received very positively. A pilot installation with a larger data collection and analysis is underway. © 2021 ACM.