Volume 8 | Issue 9 |

 Abstract

Year 2020 has been a difficult time for every country. COVID-19 has impacted every country in many ways such as increasing Covid-19 cases, downfall in the economy and increasing unemployment. To avoid such situations, the government of India has started a campaign known as #vocalforlocal, which means people should now start buying and manufacturing products in the domestic market. Since the outbreak of coronavirus disease, consumers have started shifting more towards local products or quality products. People in India started to avoid Chinese products, leading to a fall in the demand for Chinese products in the market. The perception of Indian consumer has shown a significant change towards paying more money for buying the quality product. There has been a lot of things going on between India and China since the Pandemic. They are either related to COVID-19 or National Security. Seeing the shift in the graph, we took a survey of around 100 plus consumers to know the factors that are impacting these markets. Digging into the situation and experiencing these things ourselves, we researched the Perceptions of Indian Consumers towards Chinese products during Covid-19 and the factors which are affecting these behavioural changes.

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 Keywords

Consumer Behaviour, Pandemic, Global Crisis, Economy, Trade etween Countries, International Markets, National Security, Industrial goods, Non-industrial goods, Income, Expenditure, Coronavirus, Purchasing Power, Covid19

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Polycystic ovary syndrome (PCOS) is a common metabolic-endocrine disorder in women and is associated with several metabolic morbidities. Despite the relatively high prevalence, the etiology and natural history of PCOS are not well understood. Current theories suggest that increased risk of PCOS may involve a combination of genetic susceptibility and a myriad of environmental factors, including diet, lifestyle, and social aspects. Often coined as a "lifestyle disease," PCOS is becoming a growing concern of physicians and women alike. Lifestyle, stigmas, taboos, PCOS's effect on identity, and quality of life are worthy of examination. In India, 20-25 percent of Indian women of fertile age are suffering from PCOS. It is crucial to understand how India's social and cultural climate affects the health-seeking, diagnosis, and treatment of women with PCOS and how these factors contribute to its increasing prevalence. Unhealthy lifestyle, diet, lack of exercise, stigmas, and low awareness impact the health outcomes of women who suffer from PCOS. Females are socialized in such a way that they abstain from talking about the biological changes of their bodies, even with their own mothers. Undoubtedly, health professionals and social workers must endeavor to end these fears and insecurities in women and eventually look forward to a more open and inclusive society that identifies and learns more about PCOS and its victims.

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PCOS, Women, PCOD,Fertile

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Abstract The aim of the present paper is to analyse the responsibility of the teacher towards the holistic development of his students. In India, teachers are instrumental in developing an integrated nation irrespective of diversity. Classrooms are the places where students gain knowledge and information which generates an eager curiosity to explore the world they live in. A teacher is accountable for leveraging and maximising teaching methodology in shaping and structuring the student�s mindset in a manner that will enable him to establish an ever shrinking world. An effective teacher shoulders the arduous responsibility of interacting with a large number of students as a single unit. He has to fully comprehend that he is dealing with students from dissimilar backgrounds, each with their unique tradition of culture, upbringing, religion, attire and language. This paper is mainly based on secondary data. This paper focuses on challenges faced by teachers in the present scenario where ethics should be of paramount importance in nurturing intellectually healthy adults. It is researcher�s endeavour to explore various strategies in implementing techniques wherein the teachers are a medium who create a neutral environment for the students thereby attaining the desired outcome.

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 Keywords

Challenges, development, responsibility.

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Forty-nine bread wheat genotypes were studied under rainfed conditions at three locations namely, Chena, Masha and Shey Bench, each of varied agroecologies in southwestern Ethiopia during 2017 and 2018 with the objective of estimating their genetic variability, heritability and genetic advance using 7x7 simple lattice design. Data were collected for 12 agronomic characters. The analyses of variance showed highly significant differences (p<0.01) among wheat genotypes for all traits studied in all the locations except for the number of effective tillers per plant at Chena and biomass yield at Masha wherein genotypes had significant differences only at p<0.05 level and the number of spikelets per spike at Shey Bench wherein genotypes had expressed a non-significant difference. The phenotypic coefficients of variation (PCV) were relatively greater than those of genotypic coefficients of variation (GCV) for most of the characters studied at all the three locations; however, the magnitudes of the differences were relatively high for the number of tillers, number of kernels per spike, biomass yield and grain yield. High heritability coupled with moderate genetic advance (as percent of mean) were observed for days to heading, days to maturity, spike length and grain filling period at all locations. Therefore, any improvement of these characters would result in a substantial increment in grain yield in regions of southwestern Ethiopia which are otherwise rich in natural resources but poor in their efficient utilization.

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Bread wheat, GCV, genetic advance, heritability, PCV, variability

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Himalayas act as a natural barrier for most of the South Asian countries as the climatic conditions and topography of the buffer countries (India, China: Tibet, Pakistan, Nepal, and Bhutan) are dependent on it. Geologically, Himalayas were formed by the collision of Indo-Australian tectonic plates. The region gives a strategic value to the Indian Sub-continent which always has taken into account as a geopolitical pivot of India along with the Indian Ocean. At the same time, there are significant challenges within the Himalayan region which are very crucial and strategic for India. These issues are mostly geopolitical in nature such as border disputes with China, Pakistan, and Nepal. This study focuses on the major strategic challenges of India in the Himalayan region. For analyzing this paper we mostly relied on secondary data which were collected through different books, journals, authentic internet sources, grey literature, and websites. The paper highlights on how to minimize the strategic challenges which India is facing presently. This research will be useful for scholars and academicians, foreign policy, decision-makers, security, and strategic influence on frontiers.

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Himalayas, Geopolitics, Strategic, Buffer-State, Frontiers.

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In this paper �Performance Evaluation of Various Binary Classifiers for Big Data� describe each step along the way to create a scalable machine learning system suitable to process large quantities of data. The techniques described in the research paper will aid in creating value from a dataset in a scalable fashion while still being accessible to non-specialized computer scientists and computer enthusiasts. Common challenges in the task will be explored and discussed with varying depth. A few areas in machine learning will get particular focus and will be demonstrated with a supplied case-study using Adult Census Income data. Currently, every industry uses Big Data for essential information extraction. Adult Census Income Records (ACIR) store massive data and are continuously updated with information such as age, Income, Marital Status, No. of Dependents etc. There are various methods by which data is generated and collected, including databases, websites, mobile applications, wearable technologies, and sensors. The continuous row of data will improve service, research and, ultimately, easy to find income records of adults. Thus, it is important to implement advanced data analysis techniques to obtain more precise prediction results. Machine Learning (ML) has acquired an important place in Big Data. ML has the capability to run predictive analysis, detect patterns or red flags. Because predictive models have dependent and independent variables, ML algorithms perform mathematical calculations to find the best suitable mathematical equations to predict dependent variables using a given set of independent variables. These model performances depend on datasets and response, or dependent, variable types such as binary or multi-class, supervised or unsupervised. Machine learning techniques will contribution towards making Big Data symmetric applications among the most significant sources of new data in the future. In this context, network systems are endowed with the capacity to access varieties of experimental symmetric data across a plethora of network devices, study the data information, obtain knowledge, and make informed decisions based on the dataset at its disposal. The current research analyzed incremental, or streaming or online, algorithm performance with offline or batch learning (these terms are used interchangeably) using performance measures such as accuracy, model complexity, and time consumption. Batch learning algorithms are provided with the specific dataset, which always constrains the size of the dataset depending on memory consumption.

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 Keywords

Binary classifier, Machine Learning, Adult Dataset, Big data, Linear Regression, AUC, Accuracy.

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Buleleng is the name of a district located in the northern region of Bali. This area has abundant tourism potential, but ironically, in this region the largest poverty rate throughout Bali is held, which is by 43,430 people or approximately 6.74 percent of the average percentage of poor people, which is 4.74 percent. The current case condition in Buleleng Regency showed that the tourism development has not been able to provide significant economic benefits to the local communities, in fact, as has been witnessed in developed countries, tourism has a strong potential to become an instrument for poverty Alleviation. Such poverty Alleviation would be effective if tourism net benefits that feel on the poor are greater than the social, economic and environmental costs. The objectives of this study are: (a) to examine the effectiveness of poverty Alleviation policies and programs implementation and (b) to formulate the poverty Alleviation strategies through the development of tourism in Buleleng Regency, Bali. The poor households, who lived around the tourisms villages, were the population in the study. From the population the sample was taken by applying the Slovin method. The data collection was done through interviews, observation, and literature studies. The data analysis techniques used were descriptive and SWOT analysis. The findings of the study showed that in aggregate the condition of poverty in Buleleng Regency is in a critical category. This indicates that the problems of poverty still need a major concern that requires serious and comprehensive handling from all aspects with the result that it can be reduced properly. The poverty Alleviation strategies based on the SWOT analysis are as follows: (a) a strategy to improve community quality and capacity, (b) a tourism development strategy for community capacity building, (c) a strategy for upgrading education and skills to improve the community independence, and (d) an institutional strategy for increasing the regional and national competitiveness.

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 Keywords

Strategy, Avelliation, Poverty, Development, Tourism

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The aim of this study was to identification of occupational therapy domains for a new conceptual model of activity configuration approach strategies for pediatrics habituation and rehabilitation.

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KEY WORDS Activity configuration approach, Occupational Therapy, MASS-OTG conceptual model, parent satisfaction, paediatrics habituation and rehabilitation, therapist parent relationships, parent preferences.

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The present study intends to intensify Indian sensibility in the writings of Arun Joshi. Analysis of Joshis oeuvre as a spiritual journey can help us understand the seriousness and thematic unity of his books following a pattern in progress making different landmarks to reach ultimate. Steeped in Indian Philosophy Joshis novels are significant addition to literature.

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spiritual, Indian, God, life, self.

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In India, the idea of GST was contemplated in 2004 by the Task Force on implementation of the Fiscal Responsibility and Budget Management Act, 2003, named Kelkar Committee. The Kelkar Committee was convinced that a dual GST system shall be able to tax almost all the goods and services and the Indian economy shall be able to have wider market of tax base, improve revenue collection through levying and collection of indirect tax and more pragmatic approach of efficient resource allocation. Under the Goods and Service Tax mechanism, every person is be liable to pay tax on output and shall be entitled to enjoy credit on input tax paid and tax shall be only on the amount of value added. The historic GST or goods and services tax has become a reality. The new tax system was launched at a function in Central Hall of Parliament on 1st July, 2017 (Friday midnight). GST, which embodies the principle of one nation, one tax, and one market is aimed at unifying the countrys 2 trillion economy and 1.3 billion people into a common market. Under GST, goods and services fall under five tax categories: 0 per cent, 5 per cent, 12 per cent, 18 per cent and 28 per cent. For corporates, the elimination of multiple taxes will improve the ease of doing business. And for consumers, the biggest advantage would be in terms of a reduction in the overall tax burden on goods. Inflation will come down, tax avoidance will be difficult, India GDP will be benefitted and extra resources will be used for welfare of poor and weaker section, Finance Minister Arun Jaitley said at GST launch event in Parliament. The Lok Sabha has finally passed the Goods and Services Tax Bill and it is expected to have a significant impact on every industry and every consumer. Apart from filling the loopholes of the current system, it is also aimed at boosting the Indian economy. This will be done by simplifying and unifying the indirect taxes for all states throughout India.

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 Keywords

GST, Indian Economy, Central Government, State Government.

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