Volume 11 | Issue 9

 Abstract

Knowledge management (KM) is the collection of methods relating to creating, sharing, using and managing the knowledge and information of an organization. It refers to a multidisciplinary approach to achieve organizational objectives by making best use of knowledge. An established discipline since 1991, KM includes courses taught in the field of business administration, library, and information science. Other fields may contribute to KM research, including information and media, computer science, public health and public policy. Transformative challenges in knowledge management is the process of changing way we think about knowledge and how it is managed. This can be done by changing the way we collect, store, organize, and use knowledge. The National Education Policy (NEP) 2020 provides a new perspective on reframing in knowledge management. The NEP 2020 emphasizes the importance of knowledge as a public good. It states that "Knowledge is the most important resource for economic growth and social development". The NEP 2020 also recognizes that knowledge is constantly changing and that we need to be able to adapt to these changes. The recommendations include Creating knowledge commons, promoting open innovation, using technology to support knowledge management.

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Knowledge Management (KM), NEP 2020, NEP 2020 Perspectives.

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Abstract Along with their role as crucial signal molecules in physiological processes, reactive oxygen species (ROS) can contribute to pathological processes that have an impact on the female reproductive system. Oxidative stress is implicated in the pathoysiology of infertility and assisted reproduction, according to numerous research. Its involvement in endometriosis, tubal and peritoneal factor infertility, as well as unexplained infertility, is partially demonstrated. Synthetic hormones and hormonal medications that are frequently prescribed have been shown to disturb the endocrine system and may negatively impact metabolic, neurological, developmental, and reproductive processes. Ashoka is widely used for the treatment and management of a variety of menstrual anomalies, skin conditions, easing liver issues, managing cough and cold, sore throat, treating respiratory diseases, promoting digestion, healing ulcers and wounds, and many other conditions due to the presence of essential bio-active components and the host of medicinal properties.is well-known for being helpful for a range of reproductive health issues of women, including issues with the menstrual cycle. In future, there is a need for more study to characterize the biological activity of numerous metabolites present in various Ashoka extracts.

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Oxidative stress, Reproductive health, Natural products, Ashoka tree, Pharmacological properties.

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The Godrej company which has become a household name was founded by Ardeshir Godrej. This article deals with the philanthropic contributions he did for the society. It will also discuss as to why he established his business and his concept of India being a self sufficient country. With that, he started his business at times when one could not even think of making locks and making security stronger. This article shows how how he helped the Parsi community by giving them employment. He has transformed the landscape of Bombay city by making a lasting impact on Bombay and India as a whole.

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Ardeshir, Parsi, Agriculture, Self-sufficient, Godrej, Philanthropy, Bombay

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The present thesis investigates performance of concrete during sulphate attack, its effect on the durability & mechanical properties. Sulphate attack is a typical form of deterioration observed in concrete structures exposed to environments containing high concentrations of sulphate ions, such as soil, groundwater, and industrial waste. This research aims to contribute to the understanding of how sulphate attack affects the performance and longevity of concrete.

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sulphate attack, concrete deterioration, mechanical properties, durability, accelerated testing, mitigation strategies.

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Abstract: Recent advancements in Internet and Information Technology have sparked a resurgence of interest in electronic commerce across societies. Electronic commerce encompasses customer support, service and product delivery, business information management, transaction facilitation, and fostering connections among suppliers, customers, and vendors through telecommunication networks. As global businesses and institutions adapt to the evolving landscape of electronic commerce, this paper aims to provide an extensive review of its principles, definitions, history, frameworks, processes, models, advantages, barriers, and limitations.

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E-Commerce Revolution, Internet Technology, Information Technology, Digital Economy, India E-Commerce Market, Digital Literacy, Government Initiatives, Market Expansion, Data-Driven Insights.

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War, an enemy of progress, outwardly results the total devastation of the structure of human lives and properties. In general, the impact of war is wide spread and long-lasting. Men involved in war besides the citizens suffer a great deal. In case of women and children one can envisage many discernable atrocities. The effects of war include physical and psychological scars on children, on women, and a decrease in population. Other consequences other than death are disability, malnutrition, damage or loss of infrastructure amenities, economic decline, mental illness, and mistrust among dissenting citizens. People's lives and every day activities are at stake. This paper highlights the impact of war and its consequences on the lives of Naga People in the select works of Easterine Kire. The present paper particularly centres around the brutalities of the war and post war situations as well as struggles of Naga men, women and children.

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War, effects, devastation, impact, consequences, brutalities of war on Naga men, women and children

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In this study present the results of an analytical aimed to develop and study the axial load bearing performance of damaged columns using cast-in-situ (HCP) Hybrid Composite Panels. The effectiveness of prefabricated hybrid Composite plates (HCPs) as a seismic retrofitting solution for damaged interior RC beam- column joints is analytically studied. HCP is composed of a thin plate made of strain hardening cementation composite (SHCC) reinforced with CFRP sheets/laminates. Two full-scale severely damaged interior beam-column joints are retrofitted using two different configuration of HCPs. The effectiveness of these retrofitting solutions mainly in terms of hysteretic response, dissipated energy. Degradation of secant stiffness, displacement ductility and failure modes are compared to Their virgin states. According to these criteria, both solutions resulted in superior responses regarding the Ones registered in their virgin states. To study the axial load bearing performance of reinforced column under various deficiencies - 20%,40%, 60%... parameters taken for study are different deficiencies of the columns, number of layers and number of bolts and their pattern output research like ultimate axial load, ultimate deflection, load vs deflection comparison, Percentage of strength are studied.

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Column damage, HCP, Column joints, Repair, Interaction, Confinement, CFRP

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Hindu Mythology, Greek Mythology, Comparative study, Ahalya, Galatea

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Economics is guided by statistical tools and other variables, which ultimately means that the macro sphere depends on data. Given the data one is not only interested in forecasting but also rely on nowcasting. Thus there is a need to access quality data. Economic decisions are handicapped on the count of 'reliability of data' and the nature of dynamism in the economy. Thus even the recent decision of the Central Bank to move to Centralised Information Management System (CIMS) is to actively depend on quality data which helps in effective forecasting. The paper makes an attempt to lay thrust on quality data which can enhance nowcasting.

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Statistcal tools, data, nowcasting, reliability of data, dynamism, Central Bank

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The application of modern teaching methods represents a significant advance in contemporary English language in teaching methods. Most contemporary English language teachers now actively incorporate a range of technological aids designed to facilitate optimum teaching delivery. The current research therefore addresses various elements of the teaching methods used in English teaching by devising innovative curricula which harnesses recent scientific and technical developments, equip instructors with the technological skills to ensure effective and quality subject delivery, provide technical media such as audio-visual and modern technical programmes, and create student-teacher platforms which maximize positive language learning outcomes. For the purposes of this study, the relevant literature has been reviewed, teaching methods defined linguistically and conventionally, and correlation with modern teaching skills fully evaluated. In light of this, the researcher outlines the fundamental research problem, elucidates the significance of the research objectives and hypotheses, and presents the findings. The paper concludes by offering a number of recommendations which may further contribute to the improvement of teaching methods by advancing the widespread application of modern teaching methods.

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modern, teaching methods, teaching

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Artificial Intelligence (AI) is revolutionising the way we interact with and consume media. The convergence of new media and AI has ushered in a transformative era in our society. From personalized content recommendations to the creation of entirely new forms of media, AI has become a driving force in the world of new media. This article explores the profound impact of AI on new media, shedding light on how it is reshaping content creation, distribution, and consumption. The paper analyses the contributions of several sociological theorists to the study of new media in the context of AI technology.

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New media, Artificial Intelligence, Technology, Society, Sociology

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In this paper examines the relationship between Flexible HRM, innovative work behaviors and Firm innovativeness. We developed a theoretical framework which links the constructs together. Innovative work behaviors, Flexible HRM along with its 3 sub-dimensions HR practices flexibility, Employee skill flexible and Employee behavioral Flexibility and Firm innovativeness along with its 3 sub-

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Flexible human resource management- innovative work behaviors- firm innovativeness.

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Pregnancy is not a sickness besides it must be a celebration to be cherished. The amount of criticism that overshadows Freudian concepts has never reduced the relevance it carries in the assessment of human consciousness. It successfully explains the reasons behind the consciousness of human behavior. Eric D. Goodman, who is known for his vivid, picturesque, striking narrative style, is a prodigy in exploring the human psyche. His prestigious work Womb remarkably stands out in its portrayal of the interior realms and unpredictable work of the socially conscious. This research article attempts a detailed study of the behavioral patterns of the characters and the role of unconsciousness in controlling them. This research article concludes that, though humans are the victims of unconscious trauma, a positive sublimation can unquestionably save individuals and make them fit for society.

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Prenatal joy, Consciousness, Environments, Womb, Eric. D. Goodman

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India is a country where women are greeted with respect with upholding all the traditional values. The old saying "women that rocks the cradle rules the world" has come into existence in today's time, where you can find all women are educated and will like to stand by their own unlike the olden days. Industrialization and urbanization have been risen in a positive way rising employment opportunities and economic development. The post-independence has even more strengthened women employment and working for more hours and increasing in the number of employments. And there are problems faced by women in the workplace in terms of psychological, social, and biological aspects and in concern with the illiteracy. Therefore, in this paper it is discussed about the laws related to women and about the rights which will directly or indirectly will enhance the performance. A data is collected regarding this by preparing the questionnaire and analyzing the interpretation by following the test and the output on the performance of women employees.

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work life balance , equal pay , women leadership, sexual harassment ,health and safety

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Today's generation is rapidly evolving world, education plays a pivotal role in shaping the future of individuals and societies. With the advent of advanced technologies, there is an increasing need to leverage these innovations to enhance the learning experience and ensure every student reaches their full potential. Machine learning, a subset of artificial intelligence, has emerged as a powerful tool that can revolutionize the education sector by providing valuable insights into student performance.This paper aims to introduce the Student Performance Assessment and Prediction System, a cutting-edge application of machine learning in education. By harnessing the power of data analysis and predictive modeling, this system aims to facilitate a comprehensive evaluation of student performance, thereby enabling educators to make informed decisions and tailor teaching strategies to individual needs. The Student Performance Assessment and Prediction System capitalize on the vast amounts of data generated within educational institutions. Traditional assessment methods, such as exams and assignments, often fall short in providing a holistic view of student capabilities. However, by leveraging machine learning algorithms, this system can analyze a wide range of data points, including academic records, attendance, engagement levels, and even socio-economic factors, to derive actionable insights about each student's performance and potential.With this system, educators gain the ability to predict and identify potential areas of concern for students at an early stage. By analyzing historical data patterns and performance indicators, machine learning algorithms can generate accurate predictions about student achievement. This empowers teachers and administrators to implement targeted interventions, such as personalized tutoring, tailored educational resources, or additional support, to maximize student success

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Education, Machine learning, Shaping the future, Engagement levels, Socio-economic factors, Historical data patterns, Student performance

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Water is an essential environmental factor which is necessary for survival of all organisms which exist on the earth. In history, many times it was considered by greatest scientists in world that "the water is life". Life cannot develop on any planet without water availability. It is the responsibility of mankind to keep it pure and conserve for next generations. But water is being polluted by humans in many ways. Many such products which are made by humans for public interest polluted water directly and indirectly. One of these a terrible product is plastic. Due to lack of awareness plastic reach at water bodies and get to start polluted them. Polluted water is not fit for human uses. Plastic bags, bottles and other products flow with water and reach at large water bodies.

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Water, water bodies, Pollution, Environment, Plastic, Human etc

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With the demise of the supreme leader Mao Zedong and end of the Great proletariat Cultural Revolution (?????), There was sudden change in the approach of the Chinese leadership for building China . The leadership does not want to deviate from the core foundation of the Communist Party of china , therefore, they started talking on the line of economic development. Deng xiaoping inorder to open China Said , " being poor is not socialism , if everyone become rich , is it not socialism?" . With these attitude and approach for uplifting Chinese economy , he came out with the policy of ????( open door policy ). With the commencement of this liberal policies, China witnessed a high speed growth with the increase in double digit economic growth.Interaction with the outside increased in leap and bounds, china was changing every day so was the Chinese society and the attitude of the more volatile youth. They started embracing foreign especially western culture.

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Youth, Economic Reform and open door policy, Traditional values

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The present study was conducted to translate the original English version of the infant sensory profile 2 scale into Marathi language. The purpose of this study is to evaluate validity of the Marathi translated version of the scale. An observational study was conducted on 10 healthy individuals. The study was conducted in two parts, first including the translation of the English version of the infant sensory profile 2 scale into Marathi language. Second is validation of the Marathi version of infant sensory profile scale was carried out. Then Pearson's correlation coefficient was calculated between subjective and objective measures. The result of the study showed that the concurrent validation of Marathi translated version of I/T sensory profile scale was constituted by Karl Pearson's Correlation coefficient (0.98), This study Shows high degree of correlation between English version score and Marathi version score.

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Marathi, infant sensory profile, validity

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This Agriculture plays a pivotal role in driving economic growth and maintaining a healthy biosphere. Nearly every aspect of human life relies on a diverse range of agricultural products. With the challenges posed by climate change and the increasing demand for high-quality food, farmers must adapt to these changing conditions. To enhance crop yield and growth, farmers need to have a deep understanding of the prevailing climatic conditions to make informed decisions about crop selection. IoT-based Smart Farming represents a significant advancement in the agricultural sector, as it allows for real-time monitoring of fields. It continuously tracks essential factors such as humidity, temperature, and soil conditions, providing farmers with clear and up-to-the-minute observations. In addition, machine learning techniques have found valuable applications in agriculture, aiming to enhance crop productivity and quality. By employing appropriate algorithms on the collected data, these systems can offer recommendations for selecting the most suitable crops based on the current conditions.

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Arduino, IOT sensors, crop prediction.

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