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1.
2nd International Conference on Next Generation Intelligent Systems, ICNGIS 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2293131

ABSTRACT

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.

2.
3rd International Conference on Robotics, Electrical and Signal Processing Techniques, ICREST 2023 ; 2023-January:336-340, 2023.
Article in English | Scopus | ID: covidwho-2297367

ABSTRACT

This paper discusses an IoT -based smart wheelchair through which the elderly and those who are physically challenged i.e., those who cannot do the basic movement without the help of others, will be able to do their basic movement. This wheelchair will also allow COVID-19 patients to move from one place to another in a relatively contactless condition at the hospital or airport. This wheelchair comes with a smart band through which the basic physical condition of the body, such as body temperature, pulse rate, blood oxygen, etc. parameters can be known. If the level of any of these parameters is abnormal, the system will immediately send a notification to the user's family member or access person. Additionally, the system has location tracking through which family members can track the user's location whenever they want. NodeMCU, temperature sensors, pulse sensors, etc., have been used as hardware to build the system and a mobile application designed for remote monitoring. © 2023 IEEE.

3.
Consumer Behavior in Tourism and Hospitality ; 2023.
Article in English | Scopus | ID: covidwho-2273776

ABSTRACT

Purpose: Though many conceptual and empirical studies have been conducted on the servicescape, limited research has focused on how the COVID-19 pandemic has reshaped factors influencing the servicescape. This paper aims to propose an extension of Bitner's original conceptualization, including pandemic-induced physical and social constraints on servicescape in the form of crowding, consumer risk perception during the crisis and their impact on consumers' and employees' behavioral changes in retail and hospitality sectors. Design/methodology/approach: This paper critically reviewed the past and emerging servicescape and risk literature. It then examines and delineates the concepts of crowding, density and associated risk perceptions to offer an extended servicescape framework. Alongside, scales were proposed to measure the constructs and guidelines given to conduct future empirical studies. Findings: This paper discussed the major impact on servicescape during a pandemic situation, to what extent risk is perceived during consumption and the impact of crowding and store density on employee and customer behavioral responses. Research limitations/implications: This paper principally contributes by explicitly including specific risk dimensions and crowding and proposes the scales to measure consumers' understanding of pandemic-induced perceptions of risk, crowding and density within servicescapes for further empirical testing. Alongside this, the identification and concretization of different types of perceived risks under COVID-19 provide critical and useful marketing implications. Originality/value: This study identifies relevant risk dimensions, proposes crowding as an independent construct apart from servicescape physicality and proposes relevant measures for empirical verification. © 2023, Emerald Publishing Limited.

4.
Nanotechnology Reviews ; 12(1), 2023.
Article in English | Scopus | ID: covidwho-2273002

ABSTRACT

Over the past two centuries, most pandemics have been caused by zoonotic RNA viruses with high mutation, infection, and transmission rates. Due to the importance of understanding the viruses' role in establishing the latest outbreak pandemics, we briefly discuss their etiology, symptomatology, and epidemiology and then pay close attention to the latest chronic communicable disease, SARS-CoV-2. To date, there are no generally proven effective techniques in the diagnosis, treatment, and spread strategy of viral diseases, so there is a profound need to discover efficient technologies to address these issues. Nanotechnology can be a promising approach for designing more functional and potent therapeutics against coronavirus disease 2019 (COVID-19) and other viral diseases. Moreover, this review intends to summarize examples of nanostructures that play a role in preventing, diagnosing, and treating COVID-19 and be a comprehensive and helpful review by covering notable and vital applications of nanotechnology-based strategies for improving health and environmental sanitation. © 2023 the author(s), published by De Gruyter.

5.
Ifac Papersonline ; 55(10):395-399, 2022.
Article in English | Web of Science | ID: covidwho-2131049

ABSTRACT

In this modern era of digitization, the competition is significantly increasing among retailers. One of the major challenges for them is demand prediction or sales forecasting. Especially in this Covid pandemic, retail sales forecasting became very crucial due to the employee shortage, and increasing online demand. In the modern era of digitization, competition is increasing. This research explores the application of an advanced deep learning approach in predicting the market demands in advance of individual products for the future seasons. This application aims to support an American Multinational Retail company in ordering, purchasing, and managing inventory. Accordingly, the company provides a real sales dataset to perform this study. This research proposes two sales forecasting strategies based on LSTM and LGBM models. We first execute data preprocessing techniques using statistical feature engineering on the raw sales data. Thereafter perform the LSTM and LGBM algorithms for training and prediction. LGBM takes past data from lag feature engineering for better forecasting. For that, we found that LGBM performs better than LSTM in forecasting. Copyright (C) 2022 The Authors.

6.
Chest ; 162(4):A830-A831, 2022.
Article in English | EMBASE | ID: covidwho-2060698

ABSTRACT

SESSION TITLE: Critical Care Management of COVID-19 SESSION TYPE: Original Investigations PRESENTED ON: 10/17/2022 01:30 pm - 02:30 pm PURPOSE: Acute respiratory distress syndrome (ARDS), due to Coronavirus disease 2019 (COVID-19) Is associated with a significant rate of mortality. The ideal sedative(s) of choice in mechanically ventilated COVID-19 patients is still unclear. Here we report the clinical outcomes of using propofol for more than 48 hours vs any other sedative in such patients. METHODS: This was a retrospective study of patients admitted to an intensive care unit (ICU) at Trumbull Regional Medical Centre and Sharon Regional Medical Centre between February 2020 and January 2022 with COVID-19 viral pneumonia. Our study consisted of 176 patients with moderate to severe ARDS as per Berlin’s criteria who were mechanically ventilated for atleast 48 hours. The primary outcome was mortality at 28 days from the date of intubation. Secondary outcomes included ventilator free days during the first 28 days after intubation (defined as being alive and free from mechanical ventilation), mortality at the end of hospitalization, length of stay, and readmission rate. RESULTS: Out of 176 patients, 100 patients received sedation with propofol for more than 48 hours (test group) and 76 patients received other sedative agents or received propofol for less than 48 hours (control group). We compared the outcomes of the two different groups using paired t-test. The average age of the study population (63 vs 67 p=0.061), gender((0.44 vs 0.49 females p=0.54), BMI (34.93 vs 34.08 p=0.54), and oxygen requirement on admission (0.73 vs 0.64 p= 0.227) were not statistically different between the test and control groups respectively. Prevalence of comorbidities including diabetes, hypertension, chronic kidney disease, active cancer, and COPD were not significantly different between the two groups. There was a significant difference in the primary outcome of mortality at day 28 from intubation between the test and control group (0.62 vs 0.84 p=0.001). A significant difference in the secondary outcome of mortality at the end of hospitalization between the test group and control group (0.67 vs 0.84 p =0.009) was also observed. There were no statistically significant differences in the rest of secondary outcomes. CONCLUSIONS: In this retrospective study, using propofol for more than 48 hours was associated with decreased mortality at day 28 (22%) as well as at end of hospitalization (17%) in mechanically ventilated COVID-19 patients. Propofol is known to have antiviral effects as well as immunosuppressive effects on biosynthesis of inflammatory cytokines by macrophages which is likely responsible for the mortality benefits that we encountered in this study. CLINICAL IMPLICATIONS: Even though we found mortality benefits with using propofol in our study population, further investigations using prospective studies with a larger study population are required and clinicians need to be cautious with the complications associated with long term use of propofol. DISCLOSURES: No relevant relationships by Arooj Ahmed no disclosure submitted for Manuel Bautista;No relevant relationships by Apeksha Gupta No relevant relationships by Anirudh Jaglan no disclosure on file for Saman Karki;no disclosure submitted for Ritha Kartan;No relevant relationships by Tamandeep Kaur No relevant relationships by Sanjay Mahat No relevant relationships by Krutarth Pandya No relevant relationships by Stuti Patel No relevant relationships by Janki Patel no disclosure on file for Kim Porter;No relevant relationships by Aayush Pradhan No relevant relationships by Arun Pyakuryal No relevant relationships by Pratik Saha No relevant relationships by Parth Shah

8.
NeuroQuantology ; 20(8):5821-5834, 2022.
Article in English | EMBASE | ID: covidwho-2010514

ABSTRACT

Public health and societal efforts can avoid the 2019 Corona pandemic (COVID-19). Ethiopia has adopted health and social measures. COVID-19 social distance and health prevention research. SARS-CoV-2 produces COVID-19. The global vaccine effort must understand how the virus spreads to end the pandemic. SARS-CoV-2 spreads by respiratory droplets and aerosols, according to new studies. Temperature, humidity, precipitation, air currents, pH, and radiation affect transmission. Hand washing and masks are also helpful public health measures. Non-pharmaceutical remedies need more research. Body-invading eye bacteria exist. There's no indication that COVID-19 exposure causes the disorder's ocular symptoms. Tears and conjunctiva contained SARS-CoV-2. Ocular symptoms may be the first or only sign of infection. Hand cleanliness, social isolation, and hospital SOPs can limit illness spread. Eye lubricants and spectacles can prevent eye infections.

9.
Journal of the International Aids Society ; 25:193-193, 2022.
Article in English | Web of Science | ID: covidwho-1980617
10.
American Journal of Respiratory and Critical Care Medicine ; 205:2, 2022.
Article in English | English Web of Science | ID: covidwho-1880733
11.
Springer Climate ; : 1-39, 2021.
Article in English | Scopus | ID: covidwho-1366275

ABSTRACT

Due to its geographical condition and geophysical location Bangladesh is one of the world’s most vulnerable country, which will become more vulnerable to the impact of climate change. According to the Global Climate Risk Index 2020 and Intergovernmental Panel on Climate Change (IPCC) 2011, Bangladesh is the seventh most climate change-affected nation in the world. This chapter elaborates on the possible impacts of climate change in Bangladesh through various natural disasters, i.e., increasing temperature, sea level rise, salinity intrusion, cyclone, storm surges, drought, etc. and also discusses the comprehensive disaster management approach in Bangladesh. It is now a worry in the scientific community that climate change could dramatically change weather patterns like the disease spread of epidemics (such as COVID-19) from vulnerable regions to invulnerable regions. All sectors will be affected by the impact of climate change, not only Bangladesh but also other South Asian countries. In Bangladesh, both the government and nongovernmental organizations (NGOs) are trying to prevent and alter the impacts of climate change by enhancing several adaptation and mitigation approaches. But still, coastal districts and northern areas in Bangladesh are facing many climatic issues, such as flash floods, super cyclones, salinity intrusion, storm surges, drought and riverbank erosion etc. Moreover, the government is taking the immediate response of shifting people in a cyclone center at the moment of extreme natural events but most of the peoples of the coastal districts in Bangladesh are illiterate so that they very careless about the awareness. On the basis of current information, it is suggested that the government should make some policy in disaster management for a sustainable solution for coastal areas in Bangladesh. © 2021, SpringerNature Switzerland AG.

12.
Library Philosophy and Practice ; 2021:1-18, 2021.
Article in English | Scopus | ID: covidwho-1329540

ABSTRACT

In December, the outbreak of a new Corona virus disease called as Covid-19 in China triggered the infection and deaths of many including medical personnel. The disease is extremely infectious since in extreme cases it can be fatal and there are no specific medications. Being the front line workers this poses a huge risk to the lives and welfare of nurses and has a significant effect on their emotional reactions and coping with strategies. This study would also explore emotional reactions and coping with styles for nursing students. A famous parameter that motivated people to practice protective behaviour either directly or indirectly was Covid-19 data searching across the four forms of digital media. This is a study based on survey of 24 nursing institutions. In order to curb its spread, timely access to quality healthcare information during an outbreak plays an important role. The outcome revealed that women showed more serious fear and anxiety than men. The purpose of this study was to analyse the criteria of information needs and seeking behaviour of nursing students in Bhubaneswar during the pandemic outbreak of Covid-19. For data collection, a pretested questionnaire was used. The result shows that students are strongly eager to know about information on causes of covid-19 virus;social media and internet are two main sources of information, most of the students seek information to help someone who was looking for information and the commonly barrier of information is lack of time. © 2021. All Rights Reserved.

14.
International Journal of Life Science and Pharma Research ; 10(5):P191-P206, 2020.
Article in English | Web of Science | ID: covidwho-1106682

ABSTRACT

Natural polysaccharides are a source of carbohydrates with potent biological functions that can be explored for increasing its utilization in the field of food and medicine. If characterized, studied and explored, they would have a vital contribution in the health care policy of the world, and more particularly in numerous developing countries in the next decades. There are thousands of polysaccharides isolated from various natural sources which can affect the immune system by stimulating the immune response or by influencing the formation of antibodies. They consist of various monomer units such as beta-glucan, mannan, arabinose, galacturonic acid, fucoidan, laminarin, carrageenan etc. These polysaccharides follow different mechanisms to show the desired biological activity. This review presents a detailed account of the immunomodulatory properties of polysaccharides isolated from microorganisms, plants and marine sources. The outbreak of the novel coronavirus disease COVID-19 which is caused by the SARS-COV-2provide full description of SARS-COV-2 virus has been a serious threat to public health as there are no clinically significant vaccines yet produced for its prevention. Polysaccharide with good immunomodulator and antivirus activity have potent anti-coronavirus applications. This study focuses on the advancements in the inhibition of SARS-COV-2 virus responsible for COVID-19. It also gives a detailed account of the anti-cancer activity of various natural polysaccharides and anti-inflammatory effects. The established therapy strategy for the treatment of cancer and inflammatory disorders involves the use of various chemotherapeutic agents and non-steroidal anti-inflammatory drugs respectively, which have prominent side effects. Polysaccharides obtained from natural sources have gained attention owing to their safety and less side effects. The mechanism of action of the polysaccharides showing immunomodulatory activity owing to treatment of COVID-19, cancer and inflammatory disorders has been discussed in the review. Most polysaccharides are tested using preclinical animal models or by clinical trials. This review will provide guidelines for the development of new formulations for utilising the various biological activity of the natural polysaccharides.

15.
Journal of Clinical and Diagnostic Research ; 14(11):IL01, 2020.
Article in English | EMBASE | ID: covidwho-925922
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