Volume 10 | Issue 7 | July-2022

 Abstract

The dynamic landscape of television viewership is influenced by numerous factors, including demographic shifts, content preferences, and viewing habits. To navigate these complexities, media companies and advertisers increasingly turn to predictive modelling techniques powered by M.L. This study explores the application of ML in forecasting TV viewership trends, aiming to enhance understanding and anticipation of audience behaviour. M.L. models offer robust tools for analysing large datasets and uncovering various ML algorithms, including regression models, decision trees, and neural networks, to predict viewership trends based on historical data. A comprehensive dataset encompassing TV ratings, demographic information, and time-series data forms the foundation of the analysis. In addition to leveraging M.L. techniques, this study integrates survey data to enrich the predictive models. A well-designed survey was conducted to gather insights directly from viewers about their preferences, viewing habits, and factors influencing their choices. This survey data is used to supplement the historical viewership data, allowing for a more nuanced and accurate prediction of trends. The results demonstrate that ML models can effectively capture and forecast viewership patterns, providing actionable insights for TV networks and advertisers. Key findings reveal that certain M.L. algorithms outperform others in prediction accuracy, highlighting the importance of model selection and tuning. Moreover, the incorporation of survey data enhances model performance by adding qualitative context to the quantitative data. The study also identifies several challenges in applying ML to predictive modelling of TV viewership, including data quality issues, the need for extensive computational resources, and the difficulty of capturing rapidly changing viewer behaviours. Despite these challenges, the findings underscore the potential of ML to transform how viewership trends are anticipated and managed.

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 Keywords

1. M.L. 2. Predictive Modelling 3. TV Viewership Trends 4. Data Analysis 5. Regression Models 6. Decision Trees 7. Neural Networks 8. Historical Data 9. Survey Data 10. Viewership Patterns 11. Media Companies 12. Advertising Strategies 13. Model Accuracy 14. Data Quality 15. Audience Behaviour

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English literature in India, often referred to as Indian Writing in English (IWE), has undergone significant evolution, influenced by historical contexts, pedagogical shifts, and technological advancements. This paper undertakes a comprehensive exploration of recent trends in the study of English in India, examining its historical evolution, contemporary teaching methodologies, the impact of technology on literary expression and education, and the role of English studies in shaping cultural identity. By synthesizing insights from diverse perspectives, this study aims to provide a nuanced understanding of the dynamic landscape of Indian English literature and its implications for broader sociocultural discourse.

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 Keywords

English literature in India, Indian Writing in English (IWE) , Evolution, Historical contexts , Pedagogical shifts , Technological advancements , Contemporary , teaching methodologies, Literary expression, Education, Cultural identity, Socio-cultural discourse .

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The manipulation of commodity markets represents a significant challenge in the realm of global commerce, influencing prices, supply chains, and economic stability. This paper explores the tactics, consequences, and regulatory responses to market manipulation in commodity trading. It examines the impacts on market participants, including producers, consumers, and investors, and discusses the broader implications for future commerce, regulatory frameworks, and market integrity. Additionally, the paper analyzes case studies and explores potential strategies to mitigate the adverse effects of market manipulation on economic growth and stability.

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 Keywords

Market manipulation, Commodity Markets, Economic stability, Regulatory responses

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

????? ???? ??? ?? ???? 40 ??? ?????? ??? ????? ?? ?????? ???? ?????? ????? ???? ???? ?????, ??????? ??? ????? ???? ?????? ???? ? ???? ???? ?????? ???? ????? ???? ?? ????? ??? ???? ??? ??? ??? ?? ?????? ???? ??? ???? ???? ??? ???? ???? ??????? ?????? ?????? ????? ?? ??? ???? ???? ?????? ?? ??? ???? ??? ???? ?? ???? ???? ?? ???? ???? ???? ????? ??????? ??? ???? ????? ?? ????? ???? ??? ??????? ????? ?????? ?????? ??? ????? ???? ?? ???????? ??? ???? ???????? ?? ???????? ?? ?????? ?? ???? ??? ????? ??? ??? ?????? ??????? ??? ???? ???? ?????? ?????????, ????????, ??????? ??? ?????????? ???? ??????????? ???? ?????? ?? ?????? ???? ???? ????? ?? ?????? ???? ??? ?????? ????? ???????? ?????? ????? ??? - ???? ?? ??? ????? ???? ???? ??????? ?????? ???? ???? ????????, ??? ????? ??? ??? ????? ???? ?? ??? ??? ???? ??? ?? ?? ?? ????????? ?? ????????? ??????????? ??? ????? ???? ???

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????? ???? ??? -????????? ???????????

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The sacred text of Bhagavad-Gita defines four different operating planes, namely Senses (Body), Mind, Intelligence, and Soul (Consciousness). All human beings delve into one of the operating planes while thinking or performing any action. Bhagavad-Gita also gives a hierarchy of these four things in human existence. Accordingly, the Mind is superior to the Senses, the Intelligence is above the Mind, and the Soul is higher than the Intelligence. The Intelligence can thus control the Mind. The activities performed at the Mind and Intelligence planes normally appear to be amalgamated and inseparable due to the poor cognition of "Mind" and "Intelligence" in the vocabulary of day-to-day talking. No language dictionary delineates Mind and Intelligence without overlapping perceptions. This paper explored the use of the Bhagavad-Gita knowledge framework to automatically separate the text samples representing the actions of Mind and Intelligence. A test was performed with 120 hand-tagged samples comprising 30 samples for each Senses, Mind, Intelligence, and Soul plane. The results gave a classification accuracy score of 75.0% for stratification of the Mind-Intelligence set, considering only the top similarity labels. The accuracy goes up to 83.3% for the top two similarity labels. The testing was done with the help of Google's pre-trained language model, which used Bidirectional Encoder Representations from Transformers (BERT) for pre-training. This research on automatic stratification of the Mind-Intelligence set actions is highly important as knowing Mind actions as different from those of Intelligence is a pre-requisite for solving Mind-related human challenges. Present work is thus very promising and encouraging for future studies.

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 Keywords

Artificial Intelligence, BERT, Bhagavad Gita, Digital Humanities, Human Challenges, Machine Learning, Mind-Intelligence Set, Natural Language Processing

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In conventional alkyd polymer 40-50% Phthalic anhydride is utilized in short oil compositions. We are interested in developing polymer based mainly on vegetable resources rather than the petroleum products like phthalic anhydride. In view of the above, a novel alkyd polymer containing vegetable plant based linseed oil and rosin has been prepared and used as partial replacement of linear alkyl benzene sulphonate in detergent.The idea of present work is to develop a new polymer based mainly on vegetable sources and use it as an active ingredient in detergent composition. The study involves the combination of SLS, SLES and Dolomite. It has been observed in our experiments that use of high grade dolomite can increase whiteness and brightness to the cloth. Efforts were made to select the optimize proportion of dolomite to get excellent detergency. Various analytical parameters like surface tension, foaming properties and detergency on solied cloths were studied and were found to be at par or sometimes better than commercial samples. Thus above prepared novel alkyd polymer based surfactant that is free from phosphates and other harmful ingredients may be technically superior, economically attractive and ecofriendly substitutes for conventional detergents based on petroleum products.

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 Keywords

Alkyd resin, Powder detergent, linseed oil, rosin, Sodium lauryl sulphate and Sodium lauryl ethyl sulphate.

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Creative Commons Attribution 4.0 and The Open Definition

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Organizational Citizenship Behaviour (OCB) refers to employees' voluntary and non-mandatory contributions to their organizations. In recent years, the concept of OCB has gained significant attention and has been recognized as an important aspect of employee behaviour. Research has indicated that work happiness is strongly associated with these discretionary contributions, which often go beyond the core job activities. The primary objectives of this study are twofold. Firstly, it aims to analyze the relationship between demographic variables of the respondents and their engagement in OCB. By examining factors such as age, gender, and educational background, the study seeks to identify any potential associations between these variables and the level of OCB displayed by bank employees in Ahmedabad City. Secondly, the study aims to analyze the effect of HR policies on OCB. To achieve this, a sample of 75 bank employees has been approached and their perceptions towards HR policies and its impact on OCB have been assessed. The study focuses on evaluating employees' perspectives on various HR policies implemented by banks in Ahmedabad City, such as recruitment and selection procedures, performance management systems, training and development programs, communication channels, and work-life balance initiatives. Through comprehensive analysis and interpretation of the collected data, the study aims to draw conclusions regarding the relationship between HR policies and OCB among bank employees in Ahmedabad City. Based on preliminary findings, it is expected that HR policies will have a positive effect on OCB, indicating that organizations that implement effective and employee-centric HR policies are more likely to witness higher levels of discretionary behaviours and employee engagement.

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 Keywords

HR, Organizational Citizenship Behaviour, Bank, HR Policies

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During the middle of the 17th century, British merchants under the banner of the East India Company (EIC; usually referred to as "the Company") arrived in India (South Asia or the subcontinent). Bombay, Madras, and Calcutta all had little protected enclaves where they set up shop. Neither the will nor the resources were there for the EIC to create a sizable land empire in South Asia at the time. The "native" powers were invariably defeated by the EIC's armed forces in the seldom conflicts that broke out between them. However, things began shifting in the 1740s. Several native Indian powers began striving to create their own territories after the dissolution of the pan-Indian Mughal Empire. The French and British were motivated to participate in local politics and expand into the interior of the subcontinent by the absence of a strong central authority and the possibility of negotiating economic concessions with the local potentates. The EIC had already conquered the French East India Company (Compagnies des Indies) by the 1750s. The EIC battled and defeated Mysore, the Maratha Confederacy, and the Khalsa Kingdom between 1760 and 1849 to become the dominant force in the Indian subcontinent. The military establishment in South Asia was the mainstay of British empire there. Between a third and half of the EIC's annual budget supported the armed forces. The EIC fed its forces not just with gold imported from England, but also with income taken from its vast agricultural bureaucratic dominion in the subcontinent. Heathcote (1995) depicts the development of the EIC's several armies. During this time, indigenous military forces were largely modernised and Westernised in response to EIC's presence and its capital-intensive infantry-artillery-oriented army.

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 Keywords

India, East India Company, Military System, European, Indian Army.

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 Abstract

shreemadbhagvadgeeta me mansik swasth sarakshan ke sutra

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shreemadbhagvadgeeta me mansik swasth sarakshan ke sutra

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In this article, the different dimensions of human resource development in India are discussed, encompassing social, economic, cultural, geographical, political, and psychological aspects. The article highlights that India's diverse population holds varying attitudes towards education, career development and work. Moreover, the impact of economic factors, such as income, employment, and economic growth on human resource development, is also explored. The article concludes by stressing that by understanding and addressing these factors through policies and programs, India can promote the development of its human resources and achieve greater economic and social growth. The article also outlines the government's efforts to promote development in these dimensions. Effective implementation and collaboration among stakeholders are emphasized as crucial factors for the success of human resource development in India.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Human resource development, social dimension, economic dimension, cultural dimension, geographical dimension, political dimension, psychological dimension

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Creative Commons Attribution 4.0 and The Open Definition