Volume 8 | Issue 6 |

 Abstract

The consumption of fuels in the world is increasing rapidly and it affects the Global economy of all the countries so this factor forced all the countries to find the alternative fuel to reduce and even replace the usage of petroleum in regard to alternative energy production of Biodiesel will be next choice for replacement of fossil fuel. It is well known fact that diesel engines when operated with biodiesel leads to lowering of Global warming issues and emission levels. In the present work Biodiesel production using blends of different oils like coconut oil, neem oil, cotton seed oil, rice bran oil made from transesterificaton process and performance test is done on Four stroke water cooled single cylinder diesel engine. The present research is aimed to investigate experimentally the performance and exhaust emission characteristics of a direct injection diesel engine when fuelled with B10, B20 blends of Biodiesel (rice bran oil). All experiments were carried out at constant RPM. By the experiment the brake thermal efficiency for Biodiesel was found slightly higher than the high speed diesel at various load condition. Also the specific fuel consumption and exhaust temperature increased with increased biodiesel blends.

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Diesel Engine, Biodiesel, Transestrification, Crude Rice Bran Oil, Performance, Emissions

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Artificial Intelligence is a trending topic nowadays. It is believed that artificial intelligence will be the solution to all the existing societal problems and will help reduce human effort and also help improve the way humans interpret the world around them. In technical terms, artificial intelligence can be defined as a field of computer science that emphasizes on the creation of intelligent machines that think, work, and react like human beings. As of today artificial intelligence is being implemented in various fields such as medicine, engineering, agriculture, autonomous driving and flying etc. Finance is also an upcoming field where artificial intelligence is being implemented. Stock market can be defined as an aggregation of various buyers and sellers of stock. A stock or a share can be defined as an ownership of a particular company, and an attempt to determine the future vale of a particular stock of a company is known as stock market prediction. Many claim that stock markets are dynamic and chaotic in nature and there exist various methods or techniques that the investors use in order to invest in the stock markets. But due to this chaotic nature of the stock markets it sometimes becomes a bit tedious and difficult to use the existing statistical and analytical methods to forecast the stock prices. This research paper basically focuses on how artificial intelligence is being used and how it can be beneficial to use artificial intelligence based analytical methods, software�s and techniques for stock market predictions. This paper will also focus on some of the pre-existing artificial intelligence tool s and software�s that are being deployed by various companies for the purpose of stock market predictions and what is the impact of Artificial Intelligence on the future of trading. In conclusion it can be said that introducing Artificial Intelligence into stock markets will be beneficial for both traders and investors alike. It does come with its fair share of cons, but in the long run it will be advantageous.

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 Keywords

Artificial intelligence, High Frequency Trading, performance, Sentiment Analysis, Stock Market.

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In our modern era where the internet is ubiquitous, everyone relies on various online resources for news. Along with the increase in the use of social media platforms like Facebook, Twitter, etc. news spread rapidly among millions of users within a very short span of time. The spread of fake news has far-reaching consequences like the creation of biased opinions to swaying election outcomes for the benefit of certain candidates. Moreover, spammers use appealing news headlines to generate revenue using advertisements via click-baits. In this paper, we aim to perform binary classification of various news articles available online with the help of concepts pertaining to Artificial Intelligence, Natural Language Processing and Machine Learning. We aim to provide the user with the ability to classify the news as fake or real and also check the authenticity of the website publishing the news.

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 Keywords

Internet, Social Media, Fake News, Classification, Artificial Intelligence, Machine Learning, Websites, Authenticity.

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Ambedkar and Nehru who were the founders of Indian Democracy wanted to establish it as a social one. But many believe that Political democracy has outreached our Social democracy. This Article aims to study the golden triangle of �Liberty, Equality and Fraternity� as mentioned in our Indian Constitution. It also analyses through the landmark case laws where the Fundamental Rights under article 14, 19 and 21 were read together, hence showing the Judiciary�s attempt to make Political democracy a Social one.

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Keywords: Social, Political, Democracy, Constitution

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: Terrorism is the most tinder trouble of the world now days. It caused the sentiment of insecurity among the society in contravention of the advancement in technology. Despite the fact that the configuration of the blast and the loads caused by it cannot be expected ideal pursuits can be made to mitigate the outcomes of the blast. Due to progress in technology and introduction of finite elements software now it is possible to get to a credible finding. The analysis and design of structures subjected to blast loads require a detailed understanding of blast phenomena and the dynamic response of various structural elements. The study is made to grasp the properties of blast wave by forecasting the blast wave parameters for various charge amounts placed at various distances. The outcome of TNT (trinitrotoluene) explosive on a column foundation for various amount of TNT charge at various distances is investigated for model buildings of various floors and represented in this paper.

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blast load, explosion, RC structures, Ansys

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The study aimed to appraise Nigeria�s response to curb the spread of COVID-19 and identify response gaps. The study employed content analysis to evaluate Nigeria�s responses in four major areas covering public health response, physical distancing measures, social protection interventions, fiscal and monetary policy interventions. Several issues and challenges were highlighted which if not resolved may thwart government efforts to curb the spread of the virus disease. It was recommended that the apex bank should inject more funds into the economy especially the facility targeting MSMEs and households who are vulnerable to increase the number that may benefit from the fund to improve their wellbeing and stimulate economic activities. Also, the Nigerian authorities should ensure transparency in the management of COVID-19 cases and funds donated towards the fight against COVID-19 to engender trust and increase access of palliatives to the vulnerable in the country. The government should increase testing capacities and provide sufficient protection to frontline health workers. The use of social workers and non-governmental organization volunteers to support health workers in contact tracing and management of infected patients will help free capacity. The adoption of digital contact tracing to augment the manual contact tracing is advocated especially at this time that the government has started easing lockdown. Collaborating with other stakeholders such as civil society, including community organizations and self-help groups, and the private sector among others, governments can lead the way by developing policies and initiation of sustainable actions to put an end or at least reduce significantly the incidence of the spread and impact of COVID-19 in Nigeria.

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 Keywords

Coronavirus, COVID-19 Epidemic, Nigeria�s Response, Social Protection, Lockdown, Public Health

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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General concern about stuttering has increased recently especially in countries like India. This study focuses on �The perception of stuttering among preschool and primary school teachers in Chennai, India.� It was investigated through stuttering awareness questionnaires provided to schools in and around Chennai and documenting results completed by 155 teachers. Based on the results of the study; teachers are aware that the environment plays a vital role in stammering and the children with stuttering (CWS) have the potential to overcome the condition. They did not agree that CWS were quiet and shy. All teachers reported a limited experience of handling CWS, but their responses indicated a desire to do their best to support such children in the classroom. Knowledge about stuttering was, however , considered to be less important to teachers working with specific learning disabilities.

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Awareness; perception; stuttering; preschool; primary school.

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Women owned enterprises are steadily developing in Ethiopia and they are contributing to the household income and to the growth of national economies. Despite the growing number of women entrepreneurs in Ethiopia and their contribution to the economy and reduction of societal problems, they still own and manage less small business than men. The aim of this study was to assess the factors that affect the performance of women owned micro and small enterprises in Mizan town. The research design for this study was descriptive and explanatory research. The study used all 139 women owned enterprise in Mizan town. For this study, primary data was collected through questionnaire and interview. In order to obtain information from the respondents� questionnaire was distributed for all 139 owners of the enterprise and from which 123 questionnaires were returned. The quantitative data in this research was analyzed by descriptive statistics such as frequencies, percentages, mean scores and standard deviations using statistical package for social sciences SPSS (V. 20.0). The qualitative data was analyzed using descriptive narration. Pearson correlation analysis was used to establish the relationship between the identified independent and dependent variables. The study also used multiple regression analysis to predict the dependent variable and to shows how much a unique variance in the dependent variable is explained by each of independent variables. The study found that major factors affecting the performance of women owned enterprise in the study area was Access to finance, access to infrastructure and government relate factors. The study concluded that there is significant and positive relation between independent variables (work premises, access to finance, access to infrastructure, Managerial and entrepreneurial skill, government and market related factors) and dependent variable (performance of women owned enterprises).Finally, the study recommended that micro and small enterprise office should work in collaboration with different financial institutions to create easily accessible financial environment, Mizan town micro and small enterprise office should work in collaboration with different institution in order to provide uninterrupted service for women operators and the government should move in quickly to create policies that favor the growth and expansion of women owned enterprise

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 Keywords

Performance, Work premise, Access to finance, Access to infrastructure, government support, managerial and entrepreneurial and marketing factors.

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Abstract: Polycystic ovary disease (PCOD) is a condition that affects a woman�s hormone levels. The present study aimed to assess the effectiveness of structured teaching programme on polycystic ovarian disease and to find out the association between the pre test knowledge scores of polycystic ovarian disease among adolescent girls with selected demographic variables. Index terms: effectiveness, structured teaching programme, polycystic ovarian disease, adolescent girls. Introduction: Polycystic Ovarian Syndrome, (PCOS) is the most common problem that encounter with fertility of women in reproductive age. The prevalence of polycystic ovaries in Indian subcontinent Asian women is very high. The prevalence of polycystic ovarian disease in general population has been estimated to be 5% to 10% of women of reproductive age. Women with PCOS produce higher-than-normal amounts of male hormones. This hormone imbalance causes them to skip menstrual periods and makes it harder for them to get pregnant. As the rates of obesity increases among children and adolescents, polycystic ovary syndrome (PCOS) is certainly one of these conditions suited for nursing for its prevention. The objectives of the study are: 1. To assess the level of pretest knowledge score on Polycystic Ovarian Disease among adolescent girls 2. To assess the level of post test knowledge score on Polycystic Ovarian Disease among adolescent girls. 3. To assess the effectiveness of Structured Teaching Programme on Polycystic Ovarian Diseases among adolescent girls by comparing pre and post test knowledge scores. 4. To find out the association between the pre test knowledge scores of Polycystic Ovarian Disease among adolescent girls with selected demographic variables. Methodology: With an evaluative approach, a pre experimental one group pre-test post-test design was adopted for the study. The study was conducted in Handique Girls College, Guwahati, Assam and 60 samples of adolescent girls were selected using purposive sampling technique. Modified Ludwig Von Bertalanffy (1968) General System Theory conceptual framework was used in this study. The tools used for the study were demographic performa and Structured knowledge questionnaire. The analysis was done by using descriptive and inferential statistics in terms of frequency, percentage, mean, standard deviation, paired �t� test and chi square test. Result: The present study showed that in selected demographic variables, maximum number of adolescent girls i.e. 50(83.3%) were in the age group of 17-19 years and 55 i.e 91.6% have no family history of PCOD where 5 (8.3)% have family history of PCOD. All 100% of the samples have 21 � 35 days menstruation cycle and 50(83.3%) have history of dysmennorhea. Among the samples 27(45%) of the adolescent girls previous source of information is from family members, where 23(38.3%)is from health personnel and 10(16.6% )from mass media. The result revealed that in pre test 71.6% of adolescent girls have inadequate knowledge and 28.3% of the adolescent girls have adequate knowledge Where in the post test 100% have adequate knowledge. So, post-test score remain higher than the pre-test knowledge score. TABLE 1: Mean, Standard deviation, Mean difference and t value of pre-test and post- test knowledge scores. N=60 Sl. No Knowledge Mean SD Mean t-value Df Inference Score difference 1. Pre-test 10.4 1.23 2. Post-test 17.5 1.18 7.18 41.4* 59 S * S = Significant at P<0.05 level of significance The data presented in table 1 shows that the mean pre test knowledge score(17.5) is higher than the mean pre test knowledge score(10.4) and the difference between the pre-test and post-test score is 7.18. Thus the calculated value is greater than the tabulated value and hence null hypothesis (H01) is rejected and the research hypothesis is accepted i.e. there is a significant difference between the pre-test and post-test knowledge score on polycystic ovarian disease. This indicates that the structured teaching programme on polycystic ovarian disease was effective in improving the knowledge of adolescent girls. The result of chi-square analysis revealed that there is significant association between pre test knowledge with selected demographic variables such as family history of PCOD and history of dysmenorrheal and not significant with the age, regularity of cycle and previous source of information Thus the null hypothesis H02 and research hypothesis H2 is accepted. Conclusion: The study revealed that was the structured teaching programme on polycystic ovarian disease is effective among the adolescent girls. The recommendations suggested were, a similar study can be done by utilizing other teaching strategies and can be undertaken on a large scale.

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 Keywords

effectiveness, structured teaching programme, polycystic ovarian disease, adolescent girls.

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Creative Commons Attribution 4.0 and The Open Definition