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Replacing Mineral Oil with Vegetable Oil to Improve the Transformer’s Performance
Get PDFIn this paper, the replacement of mineral oil by vegetable oil for better performance of transformer was studied. This paper reveals benefits of vegetable oil over mineral oil based on their electrical characteristic, expectation, requirement , suitability, aging, environmental impact, safety, evaluation and dielectric properties of vegetable oil. Mineral oil was traditionally used to provide isolation, but vegetable oil has become increasingly popular in the last few years, and it is presently used in the range of small- to medium-size transformers. The application of transformer is expressly accreted. The competent electric transformer division in recent years has normally been immersed in mineral oil that acts as a medium insulating the energy supply of electric equipment. This paper provides information on the key environmental and fire resistance properties and associated values for natural vegetable oil transformers. Transformers filled with such fluids are generated in general. This work motivates the transformer performance to be determined by using natural dielectric vegetable fluid in comparison with ideal mineral oil. In also to estimate the degradation of both the oils the dissolved gas analysis is carried out. However, the dielectric dissipation factor of the mineral oil was about 77 times lower than that of natural oil [1]. The application of these liquids in transformers guarantees better life span. In transformer applications, vegetable isolating oils are now commercially available as replacements for mineral- based oils. In future, the vegetable oil will be the best replacement for mineral oil
COVID-19: Finding the End Day
Get PDFThe study has pivoted on finding a methodology to forecast the end day of the menace of Coronavirus Disease of 2019 (COVID-19) or such pandemic that the planet faces on and often, challenging the core of the civilization. This model has resort to an indirect method to find the end day. As the pandemic grows exponentially, the rate of growth of total cases over previous day reduces asymptotically with herd immunity gaining strength to strength. Instead of finding flat head of the exponential expansion path, the model has looked into close to zero value of daily growth rate to find the end day. ARIMA (p,q,r) model for data smoothing and exponential trend line methodology adopted to find the end day. COVID-19 data for 63 days from March 20, 2020 to May 21, 2020 for seven countries and the globe explored with the proposed methodology. The study has projected toll of COVID-19 using a continuous constant exponential growth/decay model. The end day of the pandemic is projected for the globe when the expansion of the disease would be 0.01% per day. The methodology can be improved further by inclusion of other parameters of social and virology implications
COVID-19 Pandemics: Effects and Prevention
Get PDFA new class of corona virus, known as SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) has been found to be responsible for occurrence of this disease. As far as the history of human civilization is concerned there are instances of severe outbreaks of diseases caused by a number of viruses. According to the report of the World Health Organization (WHO as of June 5, 2020), the current pandemic of COVID-19 has affected 6,749,371 people, 3,277, 596 recovered and killed 394,527 people in 215 countries throughout the world. Till now there is no report of any clinically approved antiviral drugs or vaccines that are effective against COVID-19. It has rapidly spread around the world, posing enormous health, economic, environmental and social challenges to the entire human population. The coronavirus outbreak is severely disrupting the global economy. Almost all the nations are struggling to slow down the transmission of the disease by testing and treating patients, quarantining suspected persons through contact tracing, restricting large gatherings, maintaining complete or partial lock down etc. This paper describes the effects of COVID-19 on society and global environment, and the possible ways in which the disease can be prevented or controlled
The Change in Attitude of Nigerians towards COVID-19
Get PDFSince the discovery of COVID-19 in March 2020 in Nigeria different behavioural change has been observed amidst the citizens of the country towards the pandemic. At first, people were afraid of the pandemic and this was confirmed through their response to the measures given by the National Centre for Disease Control which include social distance, use of nose masks and sanitizers, curfew, and lockdown of crowded places. These measures have been effective in curbing the transmission of the disease in the country. In Nigeria, as at June 26th have 23,298 cases, 8,253 discharged cases and 554 deaths caused by COVID-19. Of recent, change in the attitude of people towards the pandemic has been observed as they no longer fear the impacts of the pandemic. People now go out without using their facemasks, churches are opening and some are even spreading false information about the pandemics. Pitifully, the number of cases in Nigeria has increased drastically in the past 3 weeks
WITHDRAWN: Deep Learning Classification For Diagnosis COVID-19 Between Bacterial Pneumonia and Viral Pneumonia in Chest X-Ray Images
No full textThis article has been withdrawn due to reported author misconduct. Further, The author also reported scientific error however, the author fails to update the article with an acceptable improved version. Refer to about section for more detail on withdrawal policy
EFFECT OF COVID-19 LOCKDOWN ON KERALA’S JOB MARKET
No full textThe COVID-19 outbreak is an exact reminder that pandemic like other rarely occurring disasters have happened in the past and will continue to happen in the future. Around the globe, countries are in lockdown, and citizens are asked to maintain social distancing and stay at home. This is not first instances that Kerala is fighting against a deadly virus like Coronavirus. Earlier in 2018, Nipah virus had been identified in Kerala and they had mortality rate of 40 to 80 per cent. From previous experience, among all the states in India, Kerala was well and the best prepared to tackle the COVID-19 pandemic and has managed to flatten the curve. But COVID-19 hit Kerala very hard, because the major source of revenue comes from tourism and Non-Resident Keralites (NRK’s) remittance drastically fell down. This paper provides vital insight into the effect on COVID-19 on Kerala’s job market. The aim of this study is to find out how Kerala’s job markets are being affected by the COVID-19 pandemic. Since Malayalees are working in different countries across the world, survey method is used to collect data. The study helps us to understand the demographic characteristics of workforce in Kerala. It clearly discusses effect of COVID-19 on different sectors where of Malayalees work across the world. The study also helps to analyze the effect of COVID-19 on employability of graduates and non-graduates. Finally, this study identifies the rate of job loss due to COVID-19 lockdown during the month of June 2020
Pharmacogenomics to Drive COVID-19 Therapy for Best Outcome in a Low Resource Setting
Get PDFCorona virus disease 2019 (COVID-19) has taken the world by storm with global infectivity and mortality of 3.5%. Since there is no specific treatment for COVID-19, several drugs have been repurposed to combat infection, these include drugs like anti-malarial – chloroquine, hydroxychloroquine, anti- diarrheal– loperamide and antipsychotic-promazine, which have been considered to be effective inhibitors as of viral binding to ACE2 receptor. The administration of these drugs is currently random and is the key factors responsible for varied treatment response, hence genes involved in drug metabolism should be analysed before planning therapy. Genes involved in metabolism of the listed drugs are ABCB1, CYP1A2, CYP2C8, CYP2C19, CYP3A4 and CYP2D6. Unpublished pharmacogenomic data from our internal cohort (75 cases) was analyzed to predict likely-responders and non-responders to propose drugs for COVID-19 drug therapy in our population. Preliminary data from random individuals without bias indicates that both anti-malarials at standard dose will benefit 98% of our cases (in absence of co-morbidities), while 11-85% of individuals would require dose reduction/alternatives for loperamide and promazine. Anti-malarials like chloroquine, hydroxychroloquine can be prescribed for prophylaxis and as first line of therapy in absence of comorbidities. Simple genotype testing of ABCB1, CYP1A2, CYP2C19 and CYP2D6 is an indispensable tool to predict treatment outcomes of loperamide and promazine for COVID-19 patients
The Bench Mining Method as Future of Artisanal Mining and Community Development in Southern Africa: South Africa and DR Congo
No full textSouth Africa and DR Congo are both considered as members of Southern African Development Community. And Zama Zama is a Zulu expression of artisanal miners in South Africa which means “those who keep on trying” and Mchimbaji is a Swahili expression of artisanal miners in DR Congo which means “diggers”. Artisanal mining is a cultural heritage and significant contributor in mineral production in both countries of tantalum, gold, cassiterite, chrome, diamonds and other precious minerals. The artisanal miners are organised in Cooperatives or sometimes operate illegally with manually intensive work or indigenous practices by using hammers, shovels, pick-axes, sack, chisels, head-torch, welding-gloves for prospectus and excavation and processing minerals with a magnet to remove impurities in case of DR Congo and towers, buckets, heat and mercury in case of gold-process in South Africa. The practice is often due to abandoned mines shaft associated with environment’s degradation, retrenchment from large-scale mining companies, alternative livelihoods & economic empowerment, smuggling, effort to regain land with its resources, but unfortunately causing insecurity and death associated with roof falling, gangs activities in South Africa and rebellions in DR Congo. Hence, the application of Bench Mining or Open pit machine such as Dozer and tractor-trailer with mining PPE for mining layers as applied in Rwanda and Burundi is becoming crucial in the sector to reduce death associated with roof falling, structure the operation, purchase abandoned mines, facilitate registration for mining permit, boost the production, increase safety measures, rehabilitate sites and attract more sponsors
Investigation of the effect of Hydroxychloroquine, Remdesivir, Oseltamivir and some home remedies in the light of Molecular Dynamics Simulation
Get PDFModeling and simulation is another way of finding the interaction between different drugs and chemical species with human cell. Preliminary studies before clinical trial involve computer simulation based on the physical modeling so that clinical trial can be made easier. In many aspects of drug developing, simulation is an essential tool. Here molecular dynamics simulation is performed for the interaction of the spike protein of Covid-19 virus and some of the recently used drugs. Also, the effect of caffeine, theanine, nicotine etc on the virus is found by simulatio
A classification approach to identify the species of flower using KNN model of Machine Learning
No full textIdentification of species of flowers are essential in day to day life, as flowers play important in today's Medical Science. They are used in many of the diseases curing processes. This paper focuses on IRIS flower classification using Machine Learning. Here the problem concerns the identification of IRIS flower species based on flower attribute measurements. Classification of IRIS data set would be discovering patterns from examining petal and sepal size of the IRIS flower and how the prediction was made from analyzing the pattern to from the class of IRIS flower. In this paper we train the machine learning model with data and when unseen data is discovered the predictive model predicts the species using what it has been learned from the trained data