Volume 12 | Issue 4 |

 Abstract

This abstract provides that the 1818 Treaty in Rajasthan marked a significant turning point as it led to the implementation of measures aimed at eradicating two deeply entrenched social evils in the region: infanticide and the sati system. Following the implementation of the 1818 Treaty in Rajasthan, the prohibition of infanticide and the sati system had far-reaching effects on the social and cultural fabric of the region. It brought about a significant transformation in societal norms and values. It safeguarded the rights and lives of women in the area, leading to a shift in the societal norms towards gender equality and the value of female lives. The abolition of the practice of Sati led to a newfound respect for widows and an understanding of their rights to live and contribute to society. The impact of the 1818 Treaty caused ripple effects, laying the foundation for a more equitable and humane society.

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 Keywords

Rajasthan, 1818 Treaty, prohibition, infanticide, sati system, societal transformation, gender equality, women's rights

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Hair loss, or alopecia, affects a significant portion of the population, with androgenic alopecia being one of the most common forms. Current treatments such as minoxidil and finasteride are effective but often come with undesirable side effects. This review explores the potential of natural compounds, especially beta-sitosterol, found in various plants like Pygeum (Prunus africanum), Nettle Root (Urtica dioica), and Saw Palmetto (Serenoa repens), as alternative treatments for alopecia. These plants are known for their ability to inhibit the enzyme 5-alpha-reductase, crucial in the conversion of testosterone to dihydrotestosterone (DHT), a key contributor to hair loss. The review highlights not only beta-sitosterol but also other beneficial phytoconstituents such as fatty acids, flavonoids, and antioxidants found in these and other plants like Green Tea (Camellia sinensis) and Black Pepper (Piper nigrum). The paper discusses the pharmacological bases of these plants in the treatment of alopecia, their efficacy, and potential mechanisms of action. It concludes with a discussion on the need for comprehensive clinical trials to confirm the effectiveness and safety of these natural remedies and suggests directions for future research focusing on optimized formulations and personalized treatments. This review underscores the promising potential of plant-based interventions to provide effective, sustainable, and less invasive treatments for hair loss.

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Beta-sitosterol, Androgenic alopecia, Phytotherapy for hair loss, 5-alpha-reductase inhibitors, Natural anti-androgenic compounds

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The bond between psychology and economics has become increasingly apparent in recent decades, as scholars from both disciplines recognize the profound impact of human behaviour on economic decision-making. This interdisciplinary connection sheds light on the intricate mechanisms that underlie individual choices, market dynamics, and policy effectiveness. This paper offers a concise overview of the symbiotic relationship between psychology and economics, highlighting key theoretical frameworks, empirical findings, and practical implications. Initially, we elucidate the theoretical foundations of this bond, emphasizing seminal works such as prospect theory, behavioural economics, and neuroeconomics. These frameworks depart from the traditional economic assumption of rationality, instead acknowledging the role of cognitive biases, emotions, and social influences in shaping economic behaviour. By integrating insights from psychology, economists can construct more realistic models that better capture human decision-making processes. Subsequently, we delve into empirical research that elucidates the practical implications of this interdisciplinary synergy. Studies have revealed how psychological factors influence various economic phenomena, including consumer choice, financial markets, labour markets, and public policy outcomes. For instance, behavioural experiments have demonstrated the impact of framing effects on individuals' risk preferences, while neuroeconomic investigations have elucidated the neural substrates underlying economic decision-making. Moreover, we underscore the relevance of this interdisciplinary bond for policymakers, businesses, and individuals alike. By understanding the psychological mechanisms driving economic behaviour, policymakers can design more effective interventions to promote desirable outcomes, such as savings, investment, and sustainable consumption. Similarly, businesses can leverage psychological insights to optimize marketing strategies, pricing mechanisms, and product design. Furthermore, individuals can benefit from a deeper understanding of their own cognitive biases and emotional tendencies, enabling them to make more informed financial decisions and achieve greater well-being. In conclusion, the bond between psychology and economics represents a fertile ground for interdisciplinary collaboration and knowledge exchange. By integrating psychological insights into economic analysis, scholars can enrich our understanding of human behaviour in economic contexts, ultimately contributing to more robust theories, more effective policies, and improved individual welfare. This paper sets the stage for further exploration of this dynamic and evolving relationship, inviting researchers to delve deeper into its complexities and implications.

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1. Psychology 2. Economics 3. Interdisciplinary 4. Behavioural economics 5. Decision-making 6. Cognitive biases 7. Prospect theory 8. Neuroeconomics 9. Policy implications 10. Consumer behaviour 11. Market dynamics 12. Rationality 13. Behavioural experiments 14. Framing effects 15. Policy interventions

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The study examines demographic profiles and factors affecting customer relationships among Spotify premium subscribers using machine learning methods called BG/NBD Model and Gamma-Gamma Model by predicting Customer lifetime value in music platform named Spotify. It reveals that smaller consumer bases contribute more due to dissatisfaction with restricted services, while larger bases are less generous. Students are a significant customer base, prioritizing entertainment expenditure. The study suggests adjusting marketing and pricing strategies to attract and retain students, monitoring user ratios, and offering incentives for upgrades. It emphasizes the importance of demographic targeting, post-restriction analysis, and proactive issue resolution for optimizing customer relationships and revenue generation.

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Machine Learning, BG/NBD Model, Gamma-Gamma Model, Customer relationships, Customer lifetime value.

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This study dives into the deep financial dynamics and expansion trends of selected non-banking financial institutions (NBFIs). Non-banking financial institutions contribute significantly to the financial ecosystem by offering a variety of financial services such as insurance, leasing, mutual funds, and microfinance. Understanding their financial dynamics and expansion patterns is critical for regulators, politicians, investors, and industry stakeholders. This study intends to shed light on the elements driving NBFIs' growth, profitability, risk management techniques, and market expansion tactics through in-depth analysis and assessment. This paper examines case studies and actual data to provide insights into the particular problems and possibilities that NBFIs confront in various economic contexts and regulatory landscapes. The outcomes of this research project are expected to add to the body of knowledge regarding non-banking financial entities and educate stakeholders on methods for long- term growth and resilience in an ever-changing financial ecosystem.

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Exploring the Financial Dynamics and Expansion Patterns of Chosen Non-Banking Financial Entities

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Forecasting stock market trends involves assessing a company's long-term stock value, analyzing current prices, and employing advanced neural networks. Among these networks, the Long Short-Term Memory (LSTM) network, a type of recurrent neural network (RNN), is preferred for its ability to retain contextual information over time. In this model, each training input (x) encapsulates the previous 60 days' values, enhancing accuracy for the current y data. This approach surpasses traditional algorithms through meticulous training and evaluation across varied dataset sizes, systematically recording results. Stock value prediction is inherently complex due to interconnected market dynamics. The proposed algorithm harnesses market data by employing LSTM-based recurrent neural networks. Utilizing Stochastic Gradient Descent adjusts weights for each data point, refining the model for precise predictions. Benchmarked against existing algorithms, the system demonstrates superior accuracy, undergoing comprehensive training and evaluation with diverse datasets and presenting insightful graphical representations. By integrating innovative approaches, this method enhances prediction accuracy and outperforms contemporary algorithms. Such a methodology holds promise in the dynamic landscape of stock market forecasting, providing a robust solution for investors seeking reliable predictions in an ever-changing market environment. KEYWORDS: Machine Learning, Share Price Prediction, LSTM Networks, Stock Market Trends, Neural Networks, NSE, Financial News Analysis, AI-Based Forecasting

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Machine Learning, Share Price Prediction, LSTM Networks, Stock Market Trends, Neural Networks, NSE, Financial News Analysis, AI-Based Forecasting.

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Diclofenac sodium is an agent shows Anti-Inflammatory , Antipyretic and Analgesic activity. Natural polymer chosen for the purpose of study is due to disintegrating property , non toxicity, Low cost , reliable free availability , Eco - friendly , potentially degradable and compatible. Diclofenac sodium was used as a model drug to study the in vitro release profile .Matrix tablet Of Diclofenac sodium were fabricated by varying the concentration. Of new natural polymer [Acacia] Via direct compression method. The formulation on has been prepared "Acacia" with various Different concentration method evaluation are conducted . The prepared formulation were Evaluated for pre-compression relevant to granules like angle of repose , bulk density , tapped Density , hausner's index , friability , content uniformity , disintegration time , dissolution time. The post compression parameters like tablet thickness , hardness , weight variation all the Formulations showed compliance with pharmacopoeial standards and found to be within the Limits ass per the standards . Objectives - To sustained the release of the drug from tablet and to study the acacia on the drug Release.The sustained drug delivery system is specially designed to provide a drug in body at Predetermined and constant rat

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Key Word- Diclofenac sodium , Acacia gum , Sustained release .

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Living organisms, including humans, heavily depend on plants and animals for sustenance. However, the current food resources confront limitations in supporting the global population over extended periods due to only 29% of the Earth's land being suitable for sustaining the entire ecosystem. Additionally, the existence of plant-eating bacteria or locusts exacerbates this challenge, further limiting the accessibility of resources for prolonged periods. This situation emphasizes the importance of our project, which centers on Plant Disease Detection and Recognition. Our primary aim is to pinpoint and diagnose diseases affecting plants while identifying the most effective treatments. Through the utilization of our system, we can obtain precise information about the specific ailments impacting plants and determine the most suitable medications to combat these diseases. The prompt recognition of plant diseases is crucial as it enables timely interventions to safeguard the welfare of plants and trees. Moreover, accurately identifying the variety of diseases before administering treatment holds paramount importance. With our system boasting an impressive 92% accuracy rate, we are equipped to efficiently address plant health concerns, thereby extending their lifespan. After undergoing rigorous testing, this endeavor has emerged as a promising asset for humanity. Farmers, who serve as the backbone of nations, play an indispensable role in our survival. Ensuring equitable treatment compensation for their harvests is of utmost importance, and our system is positioned to play a crucial role in achieving this objective. By advocating for agricultural sustainability and nurturing healthier crops, we can positively impact food production and contribute to the collective well-being of society.

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Plant diseases detection; CNN; image classification; deep learning in agriculture

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Growing in popularity as an environmentally conscious farming method, biodynamic agriculture provides a comprehensive framework that incorporates cosmological, ethical, and spiritual elements into the cultivation of medicinal plants. The use of biodynamic principles in the production of medicinal plants is investigated in this study, with a focus on the connections between plant vitality, soil health, and cosmic influences. The application of certain preparations, heeding of planetary and lunar cycles, and taking biodiversity into account are examples of biodynamic techniques that are tailored to improve the therapeutic qualities of domesticated plants. In the context of medicinal plant production, this article examines recent research and practical applications of biodynamic agriculture, stressing its potential advantages in boosting plant potency, maximizing yield, and supporting regenerative and sustainable agricultural methods. The ideas put forward in this paper are intended to develop a deeper relationship between sustainable farming, medicinal plant quality, and holistic well-being by offering insights into the potential applications of biodynamic agriculture in the production of medicinal plants.

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Introduction to agriculture, Biodynamic agriculture, GAP in biodynamic agriculture, Biodynamic certification

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Apple Computer, Inc. was the previous name of Apple Inc., a global computer company with headquarters in Cupertino, California. With a market valuation of US$394.3 billion as of March 2023[6], Apple is the largest company in the world by far and the largest in the technology sector by sales in 2022. According to profits, Apple is the largest manufacturing business in the world as of June 2022. It ranks second in terms of mobile phone sales and fourth in terms of unit sales of personal computers. As one of the top five American IT companies, it is recognized with Microsoft, Amazon, Alphabet, Meta, and Amazon. Ronald Wayne, Steve Jobs, and Steve Wozniak founded Apple Computer Company on April 1st, 1976, to develop and distribute the Apple I personal computer created by Wozniak. It was founded in 1977 by Wozniak and Jobs. The company's second computer, the Apple II, was among the first computers to be produced and went on become a best-seller. When Apple went public in 1980, it had rapid financial success. Under the name "1984", the company produced computers with innovative graphical user interfaces, including the initial Macintosh, which was introduced in a well praised commercial the same year. Power struggles between the CEO and the company's outrageous product prices were problems by 1985. While Jobs left Apple to start NeXT and took a few coworkers with him, Wozniak left the business to pursue other ventures. As the personal computer market expanded and altered in the 1990s, Apple found itself falling behind the more reasonably priced Microsoft Windows operating system's monopoly on Intel-powered PC knockoffs (often referred to as "Wintel"). In 1997, only weeks away from bankruptcy, the company bought NeXT in an effort to remedy Apple's failed platform strategy and entice Jobs back to the company. For the next 10 years, Jobs employed a range of tactics to steer Apple toward profitability. The much-lauded launch of the iMac, iPhone, iPod touch, and iPad, the commencement of the "Think different" promotion and other noteworthy marketing initiatives, the creation of the retail network of Apple Stores, and the purchase of other companies to expand the company's product range were among them. After Steve Jobs resigned as CEO in 2011 due to health issues, Tim Cook assumed the role. Two months later, Jobs died. Apple became the first publicly traded American firm with a valuation of exceeding one trillion dollars in the month of August 2018, $2 trillion in the month of August 2020, and $3 trillion in January 2022. In June 2023, its worth was little over $3 trillion. The company faces criticism for its labor violations of contractors, its environmental policies, and its business ethics, including sourcing products and participating in anti-competitive activities. In spite of this, the company enjoys substantial fan devotion and a substantial fan following. Additionally, it has consistently been ranked as one of the world's top-selling brands.

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SOCIAL MEDIA MARKETING STRATEGIES ON BRAND PERCEPTION AND CONSUMER ENGAGEMENT: - WITH SPECIAL REFERENCE TO APPLE

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