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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Stock market, machine learning, Prediction

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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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: 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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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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: 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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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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Biomedical, Machine Learning, Processing

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Machine learning (ML) is a subset of artificial intelligence (AI) where computer is trained to make decisions like a human based on different characteristics from a set of data. Machine Learning is a subset of artificial intelligence (AI) which allows the software applications to predict the outcomes by considering the historical data as input. The paper presented discusses the detailed understanding and the contribution of different researchers in the area of Biomedical Signal processing

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Biomedical, Machine Learning, Processing

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Perfect weather predictions are needed for a plethora of activities and it was one of the main challenging problems the entire world faced because of its multiple dimensions and non-linear trends. Weather depends on multiple climatic conditions like temperature, air pressure, humidity, wind flow speed and direction, cloud height and density, and rainfall. The most common phrases/keywords in weather prediction related articles were 'wind', 'precipitation', 'climate change', 'wind forecasting' and 'ensemble prediction'. The most common countries in which surveys were done are China, USA, Australia, India and Germany. Extreme meteorological events are often related to the occurrence of weather fronts.

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weather, Machine Learning, prediction

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In machine learning, classification is a supervised learning concept which basically categorizes a set of data into classes. The most common classification problems are - speech recognition, face detection, handwriting recognition, and image classification. Image Classification is one of the most fundamental tasks in computer vision. It has revolutionized and propelled technological advancements in the most prominent fields, including the automobile industry, healthcare, manufacturing, and more. Image Classification (often referred to as Image Recognition) is the task of associating one (single-label classification) or more (multi-label classification) labels to a given image. Image classification is the process of predicting a specific class, or label, for something that is defined by a set of data points. Image classification is a subset of the classification problem, where an entire image is assigned a label. Grouping images into semantically meaningful categories using low-level visual features is a challenging and important problem in content-based image retrieval. Based on these groupings, effective indices can be built for an image database

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Image, machine learning, Classification

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The state of Kerala in India has emerged as a strong supporter of the Palestinian cause, despite facing criticism from right-wing alliances. India's foreign policy has shifted towards aligning with Israel, as seen in Prime Minister Modi's swift support for Israel in the recent conflict. Kerala's support for Palestine challenges this shift and promotes a more comprehensive and sensitive narrative in the country. This article delves into the discussion on how Kerala has been so vocal about its solidarity to the cause of Palestine.

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Solidarity for Palestine, Kerala, India, Protests, Muslim-majority, Kashmir, Narendra Modi, Israeli-Palestinian conflict

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Speech recognition is the process of converting human sound signals into words or instructions. The research of speech recognition involves many subject areas such as computer technology, artificial intelligence, digital signal processing, pattern recognition, acoustics, linguistics, and cognitive science.Our speech is made up of many frequencies at the same time. The actual signal is really a sum of all those frequencies stuck together. The conversation or speech that is captured by a microphone or a telephone is converted from acoustic signal to a set of words in speech recognition.

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speech, machine learning, recognition

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This article deals with overview of the epileptic seizures and its homoeopathic management. Epilepsy is a neurological condition that affects all age groups. In most of cases, the causes of the epilepsy remains unknown and undetermined. However few factors such as infections, head injury, substance abuse, tumor's of brain and hereditary factors are the possible causes. Homoeopathy focuses on individualization of patient with holistic approach thus helps in managing epileptic seizures on dynamic plane. Homoeopathic remedies helps in managing acute seizures, as well as eliminates the tendency to have seizures.

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Epilepsy, International League Against Epilepsy classification of epilepsy, Homoeopathic management.

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Cancer, nanotherapeutics are developing quickly and are being used to overcome several problems with conventional drug delivery systems, including poor oral absorption of nutrients, universal biological distribution and concentration, and a lack of water solubility. Unique nanotechnology targeting techniques have been developed as a result of d evelopments in materials science and protein engineering, which may give patien ts suffering from cancer new hope. Clinical usage of several therapeutic Nano carriers has been authorized.

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Nanoparticles, Nanocarriers; Drug delivery, Application of Nanoparticle Therapeutic Nanoparticles, Anticancer

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A popular operational research method for determining and improving management decisions is linear programming. Businesses are encouraged to boost their output via its implementation. JSR Company is a furniture-based company in Bengaluru, they must strategically allocate resources and take smart decisions in order to maximize the profit of the company. This research helps and examines the effectiveness and precision of Excel Solver and Graphical method in resolving challenging optimization issues related to JSR Furniture's operating procedure.

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(Key Word: Linear Programming, Solver, Graphical Method, Maximize profit, efficiency, Operational Research)

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Rosacea is a facial skin condition causing inflammation and vascular dysfunction, influenced by microbiota. It affects individuals with diseases like Demodex folliculorum mites, Helicobacter pylori, Staphylococcus epidermidis, Chlamydia pneumoniae, and Bacillus oleronius. Treatment options include topical metronidazole and azelaic acid, while severe cases can be treated with oral metronidazole, tetracyclines, or isotretinoin. The condition negatively impacts quality of life, self-esteem, and well-being. Treatment options include topical and systemic treatments, as well as skin care and advanced scientific research.

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demodex folliculorum, nodularities, phyma, telangiectases.

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Abstract : Vitiligo is an autoimmune depigmentation disorder where the body produces antibodies against melanocytes, causing white patches in the body. This chronic condition results in melanin loss, which is caused by stress on melanocytes, the pigment-producing cells in the skin. Often dismissed as a cosmetic issue, vitiligo can have severe psychological effects, impacting daily life. This review provides an overview of current knowledge about vitiligo, including various medical treatments available to prevent progression and induce skin repigmentation. The review also explores the types and treatments of vitiligo and their availability in the market.

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Keywords: Vitiligo , Depigmentation , Melanocytes , Melanin, Autoimmune

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