Volume 11 | Issue 11 |

 Abstract

Stock market prediction and analysis are some of the most difficult jobs to complete. There are numerous causes for this, including market volatility and a variety of other dependent and independent variables that influence the value of a certain stock in the market. These variables make it extremely difficult for any stock market expert to anticipate the rise and fall of the market with great precision. However, with the introduction of Machine Learning and its strong algorithms, the most recent market research and Stock Market Prediction advancements have begun to include such approaches in analysing stock market data. The Opening Value of the stock, the Highest and Lowest values of that stock on the same days, as well as the Closing Value at the end of the day, are all indicated for each date. Furthermore, the total volume of the stocks in the market is provided, with this information, it is up to the job of a Machine Learning Data Scientist to look at the data and develop different algorithms that may help in finding appropriate stocks values.

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 Keywords

Stock market, machine learning, Prediction

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Creative Commons Attribution 4.0 and The Open Definition

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Micro enterprises play a inevitable role in the development of an economy and effective strategy for poverty alleviation with the potential for far reaching impact in transforming the lives of poor people. The micro enterprises face many problems while computing with other large enterprises. The study focus on the problems faced by micro enterprises with special reference to Kudumbasree Unit. It is an effective MFI to support economic development. So the poor people can become more empowered especially women by joining this programme. It enables the very poor households to meet their most basic needs and protect against risks. The main aim of the study is to know various problems faced by the micro units and also to find out the major source of capital of micro enterprises and to investigating the employment opportunities render by the micro enterprises through Kudumbasree unit

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 Keywords

Micro Finance, Micro Enterprise, Kudumbasree

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Hermann Hesse's novel 'Siddhartha' is acclaimed in academia for its examination of Eastern philosophies and the human condition, coupled with Hesse's literary finesse. This enduring work emerges as a deep exploration of spiritual enlightenment and the quest for life's deeper meanings. It engages with perennial philosophical inquiries including selfhood, the thirst for wisdom, and the equilibrium between the spiritual and material realms. 'Siddhartha' narrates the spiritual journey of its eponymous character against the backdrop of ancient India. Siddhartha's quest, characterized by encounters with diverse mentors, includes a crucial meeting with Gautama Buddha. However, the novel primarily revolves around Siddhartha's individualistic pursuit of enlightenment. His journey involves experiences ranging from materialism and sensuality to parenthood and despair, culminating in spiritual enlightenment. The narrative underscores the interconnectedness of all life forms and the critical role of empathy and compassion. Siddhartha's spiritual journey represents the enduring quest for understanding and inner tranquillity, which renders it pertinent to a broad audience in search of profound wisdom and inner calm. This article attempts to provide a comprehensive analysis of Hermann Hesse's 'Siddhartha' with the explication of its philosophical themes, spiritual exploration, and enduring relevance within the context of Eastern philosophies and the human quest for perennial wisdom and inner peace.

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 Keywords

: Hermann Hesse, Siddhartha, Enlightenment, spiritual exploration, Buddha

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This research introduces a thorough approach to music recommendation by employing multiple algorithms such as k-Nearest Neighbours (kNN), Logistic Regression, Support Vector Machine (SVM), Random Forests, and Cosine Similarity for content-based filtering on the Spotify dataset. The program evaluates the effectiveness of these algorithms in generating a "similarity score" for each song based on its acoustic features, such as acousticness, danceability, energy, and tempo, among others. These algorithms are assessed to determine which one provides the most accurate music recommendations. When given an artist's name and a selected song as input, the program calculates similarity scores using each algorithm to find the top 5 songs that are most similar to the input song. By comparing and contrasting the outcomes of these algorithms, the research aims to identify the most effective approach for creating personalized playlists based on users' music preferences.

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 Keywords

Content-based Filtering, Recommendation System, Algorithm Comparison, k-Nearest Neighbours (kNN), Logistic Regression, Random Forests

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Curcuma longa, popularly known as turmeric is a spice used for cooking for centuries in India which is known for its antimicrobial, anticancer, antioxidant, anti-inflammatory properties etc. The recent rise in cases of antimicrobial resistance to conventional medicines has prompted mankind to discover alternative medicines for treatment and alleviation of cancer and infectious diseases. Medicinal plants have long been used for several millennia for treatment and alleviation of diseases. One such medicinal plant which is used in several traditional systems of medicine is Curcuma longa, popularly known as turmeric. Antioxidant activity is essential because oxidative stress is linked to non-communicable diseases such as cancer, diabetes and inflammation. This paper has investigated the antimicrobial, antioxidant and cytotoxic properties of the ethanolic extract of Curcuma longa.

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 Keywords

: Antioxidant, In vitro, Curcuma longa, antimicrobial, toxicity.

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The political efficacy levels are regarded as one key indicator of the well-being of democratic polities. The higher the political efficacy of the citizenry, the higher is its general participation in political matters. Encompassing the above high involvement, the study undertakes an analytical view of political efficacy to elaborate and to test an argument about the influence of structural factors on this indicator of a democratic polity's health. The tool used for the data collection was Systematic Random Sampling (SRS) method. The sample comprised of 407 respondents drawn from different Assembly Constituency of Nagaland. The obtained data were analyzed by using a three-point Likert scale based on the standard political efficacy questions. The results revealed that the level of sense of political efficacy have a positive and significant effects on patterns of participation. On close examination it was found that the respondents' level of political efficacy produced differences among different socio-economic variables undertaken in this study.

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Political attitude, socio-economic status, participation, level of political efficacy

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The Mughal Empire developed an atmosphere conducive to substantial commercial activity. As the imperial capital and a strategically significant city, Agra and Lahore grew as vital trading hubs, linking numerous areas and allowing the movement of products, ideas, and cultural influences. The study explores the many items exchanged between Agra and Lahore, including exquisite fabrics and spices as well as rare jewels and metals. The development of a well-organized market system, complete with busy bazaars and caravan routes, was critical in supporting this commerce. Furthermore, the research explores the socioeconomic impact of this trade on the urban landscapes of Agra and Lahore, examining how these towns' riches affected architectural development, creative endeavours, and general quality of life. This research contributes to a better understanding of the economic linkages that existed between Agra and Lahore during the Mughal era, emphasising the importance of trade and commerce in defining the Indian subcontinent's cultural and economic environment. The findings provide important insights into the interconnection of towns and regions, showing the Mughal Empire's continuing effect on trade networks and cultural interchange.

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Agra, Lahore, Trade, Commerce, Commodities, Routes

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The study's goal was to investigate dentists' knowledge and attitudes about denture adhesives. Denture adhesives and their role in prosthodontics are particularly important because they benefit both dental professionals and patients. A total of 380 dentists participated in the study, which was conducted among several dentists and dental graduates in Tamil Nadu. The awareness and attitude among dentists towards denture adhesive and its toxicity were checked through a questionnaire. The results of this survey conclude that dental practitioners' knowledge of denture adhesive and its toxicity is limited. Probable reasons for this were a lack of awareness among prescribing dentists, a lack of education about its side effects, and patient counselling about denture usage, denture relining, and rebasing, as residual ridge resorption occurs over time and knowledge needs to be improved.

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Denture adhesives, complete dentures, toxicity, dental practitioners.

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 Abstract

Adam Smith defined the wealth of the nation through the division of labour, which promoted the development of differentiated knowledge. The integration of this knowledge was to be acquired by the people of the country and required an ethical basis. Say, Babbage and Menger contributed to this; Marshall then included developmental trial and error and the critical gap between stimulus-response and deliberate thinking strategies. The later emphasis on equilibrium modeling facilitated further developments, but Schumpeter, Hayek, Penrose, Richardson, Nelson, and Winter helped to stimulate motivation, especially interest in achieving a particular capacity. Adam Smith told his rhetoric class. (1983, p. 145), "to present a didactic text with the details of a system; Let us establish only one or a few principles by which we can explain many laws, or phenomena, to unite one with another in their natural order, or begin to say that separate things must be explained of that, and we do not adopt a different principle nor the subsequent same as the previous ones. Durkheim says the causes of division of labour lie in the fact that individuals need to cooperate and do a variety of tasks in order that industrial society may survive. According to Marx, division of labour is imposed on workers so that the capitalists may benefit. This paper is an attempt to review the Marxian and Durkheimian perspective on the social organisation of work in Industrial society.

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Division of labour, dignity of work, equality, harmony, capitalism, Industry, society.

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Digital Image processing is an algorithm used to perform operations on a digital image, in order to extract some useful information or process images to enhance information from it. Face recognition is a method of identifying or verifying the identity of an individual using their face. Face recognition systems can be used to identify people in photos, video in real-time or offline. Machine learning algorithms can be used to identify, collect, store and evaluate face characteristics so that they can be matched to photos of people in a database. The paper presents the contributions made by different researchers to understand the methodology, tools and applications of face recognition.

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 Keywords

Biomedical, Machine Learning, Processing

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