Volume 8 | Issue 11 |

 Abstract

The Coronavirus or COVID-19, as a flare-up of respiratory ailment brought about by a novel coronavirus that has now been identified in excess of 130 areas globally. The infection has been named SARS-CoV-2 and the sickness it causes has been named coronavirus disease 2019. In our research focused on suicide that mankind has searched for very. The effects of coronavirus on passionate prosperity have not up reasonable to predict that this impact of the disease will have an undulating sway on national and generally speaking suicide events, especially reliant on flow insane open reactions on informal communities, including some shared bewildering clinical uncertainty by patients. Computerized reasoning couldn't just assistance with the diagnostics and early discovery of psychological wellness issues, however it could likewise partake genuinely in the administration of scatters. When contrasted with a human specialist or analyst, the most profitable highlights of keen calculations could be their secrecy and openness. Man-made cognizance based really shrewd chatbot emanam and psych-5, solidifies techniques for abstract lead treatment, rationale social treatment with guided thought, breathing, and yoga.

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Artificial Intelligence, Sentiment, Interface, Calculations, Video

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the general objective of carrying out this study was to study the emotional intelligence of students in relation to the type of school. The study was carried on one hundred students studying in secondary schools selected randomly from Bhopal district of M.P.entire classes of ix and x were taken from the two schools(shashakiyauchhatarmadiymaikvidalayachandbad Bhopal govt.school) and hind convent higher secondary school naveennagar (private school) the sample were taken who falls on the age group of 14-16 years. For the aggregation of essential information the researcher used statistical calculations. to find the significance of difference between the various groups �t�- test was applied resulted indicated that govt. and private school students differ significantly on emotional intelligence but gender wise and area wise students do not differ significantly on emotional-intelligence.

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Emotional intelligence, school, age group.

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FLOOD MADE NO BLESSING TO CURSE

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1000

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In recent years, a widespread interest has been received by the blockchain technology. Many healthcare systems have been developed using blockchain technology in these years which has used traditional databases as their database to store records which is a centralised database. In this paper, we have proposed blockchain database bigchaindb for storing medical records which is decentralized, immutable, and has control on the assets over the network. Also, we have constructed a web framework using Django which connects with blockchain database BigchainDB. This model verifies and validates the transactions that are stored in the database BigchainDB. Finally, we have implemented a prototype called healthcare blockchain using bigchaindb which gives security to the medical records stored in the database which is a scalable blockchain database and includes the features of decentralised control, tamper resistant, immutability, fault tolerance, and advanced access control.

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Healthcare, Blockchain, BigchainDB, medical records, decentralised, immutability, fault tolerance.

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Abstract: The Present Paper is an attempt of comparative study on the select works of the British Woman Poet, Christina Georgina Rossetti and the American Woman Poet, Sylvia Plath. The purpose of the present paper is to enlighten the conceptions on how Christina Georgina Rossetti reveals her strong, independent and powerful personality through her poems and how her personality gets reflected in Sylvia Plath�s Poems. During the Age of Queen Victoria, women were brought into a circle and they had to live upto that circle. Men were unsympathetic towards women, considered them as an object and not as a human being. Women were restricted to act upon their personal rights to establish their identity. Through the medium of poetry, Christina Georgina Rossetti steps out of her circumstances and feelings. She expresses the pressurized life of Victorian Women and raised her voice against the ideology of Victorians through her works. The great value of her work lies in the betrayal appears most cruelly and terribly in the relationship between man and woman. Her multi-layered structure of her poems adds power to her as a Poet. Women writers addresses feminist issues in various literatures. The paper attempts to explore the reflection of Christina�s independent personality in Sylvia Plath�s poems. Plath is one of the pioneer of popularizing Confessional poetry and she is considered the first American Woman Poet, who put her personal sufferings and miseries on her writings. Like Christina, Plath in her works, expresses her distress, mental and emotional pain to establish her strong personality. As a Confessional writer, Plath reveals her bitter personal experiences in a symbolic language. The focus of the paper is to explore how Christina and Sylvia Plath reversed the gender conventions by taking poetry as a medium to make their voice everlasting and no longer be ignored.

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Confessional Poetry, Reversal of Gender conventions, Victorian ideology

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This research paper is a result of original work from the internship project which I have prepared for my MBA degree. Today, the banking sector is one among the most important service sectors in India. The main target of banks has shifted from customer acquisition to customer retention. In today�s scenario most of the banks offer services through the electronic medium called E-banking. Though all banking sector are providing E-banking, the main question is whether the customers are aware of all the E-Banking services offered by their banks. The purpose of the study is to create customer awareness and find out what they preferred most in E-Banking services of SBI bank. The study has been done in specific branch from the Nagpur city. The sample size is of 100 customers. For the purpose of the study, the primary data has been collected through questionnaire along with secondary data. After the analysis it has been identified that whether SBI bank provide better service with regard to E-Banking services to customers or not and also identified satisfaction level of customers View about internet banking website of SBI bank. The result of the analysis shows that there is no significant relation between age group of the customer and awareness about E-Banking service among customer. The data analysis shows that age, occupation, income level, of customer are significant factor that decide usage of E-Banking services of SBI bank in the study area.

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SBI Bank, E-Banking, Awareness, Preference, Customer, Satisfaction level.

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With the growth of Internet usage, e-Auction systems have become popular and became an electronic market place for many. They enable users to sell and purchase goods on a large scale. There are several challenges in implementing e- Auction systems. Stakeholders located at geographically different locations can cheat auction systems. Furthermore, fake auction systems might target people and lure them. Though there are a few secure e-Auction systems in use that focus on preventing fraud from sellers and bidders, challenges still exist. Fraudulent auction transactions happen when the auctioneer is compromised. This paper proposes a fraud-resistant auctioneer model, which provides privacy and security using Intel SGX in a Trusted Execution Environment (TEE). It has less attack surface and provides better attack protection to the application. This paper discusses the design and implementation of the proposed secure and trustable e-Auction system. The proposed model, in a typical attack scenario: i) can verify the authenticity of the data and security using keys and digital signatures, ii) protects from exposing the sensitive information of buyers and sellers and, hence privacy is protected, iii) the winner decision making process is made by TEE, so is trustable.

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e-Auction, Intel SGX, security, privacy, enclave, TEE.

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Maternal Mortality Rate(MMR) refers to deaths due to complications from pregnancy and/or childbirth. Complications of childbirth and pregnancy are predominant reasons of death among women of reproductive age across the world. Setting up of goals for mortality reduction is vital, but it we must also acknowledge the fact that accurate measurement of maternal mortality remains still challenging and many deaths still go uncounted or unnoticed. As per the data published by WHO, the WHO African region has got the highest Maternal Mortality Rate when compared it with its other five regions. In this paper we predict how Maternal Mortality Rate(MMR) is related to the following attributes - GDP growth, Maternal Leave Policy, Literacy rate and Health care expenditure among the different regions of the world . As part of the predictions, Child Mortality Rate(CMR) is shown in relation with Maternal Mortality Rate(MMR); CMR among different age groups; Maternal mortality due to direct and indirect health causes like cerebrovascular arrest, cardio vascular arrest, infection; women age impact on Maternal mortality; Impact of Delivery methods on maternal mortality. Linear Regression algorithm and several Data visualization techniques are being used to visualize the impact of maternal mortality rate due to the above said parameters using normal Python and Microsoft Power BI tool for better visualization. From the predictions depicted from this paper, it is very clearly evident that GDP, health care expenditure have positive correlation with decline of MMR over the past few years; Child Mortality Rate is more due to Maternal Mortality Rate; C-Section Delivery method rate increasing over the past few years; Cause of maternal mortality due to other cardio vascular diseases tends to decline over years. The WHO recommends that oxytocin should be administered within a minute of birth to lower the risk of postpartum hemorrhage. Our model concludes that attributes like Maternal leave policy, fertility rate, literacy, health care expenditure have a major impact on Maternal Mortality Rate(MMR) compared to other attributes.

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Maternal Mortality Rate, GDP, Health care expenditure, Child Mortality Rate, Fertility rate, Linear Regression, Ordinary Least Square Algorithm(OLS), Exploratory Data Analysis(EDA).

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STREE SIKSHA KO PROTSAHIT KARNE VALE KARAK: EK SAMAJASHASTRIY ADHYAYAN

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STREE SIKSHA KO PROTSAHIT KARNE VALE KARAK: EK SAMAJASHASTRIY ADHYAYAN

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NISHAD JATI : EK PARICHAYATMAK VIVARAN

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NISHAD JATI : EK PARICHAYATMAK VIVARAN

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