Volume 13 | Issue 4 |

 Abstract

This study explores the growth potential of Meera Coconut Oil in the competitive FMCG landscape of Chennai. With coconut oil being a staple in South Indian households, the research aims to understand consumer preferences, usage patterns, brand perceptions, and purchase behavior related to coconut oil, with a specific focus on Meera Coconut Oil. A structured questionnaire was administered to a diverse group of respondents, capturing insights across demographics, income levels, occupational backgrounds, and consumer attitudes. Key findings reveal that the majority of users are young, female, educated, and price-sensitive. Parachute leads as the most preferred brand, but Meera Coconut Oil holds considerable promise due to its perceived purity, affordability, and suitability for both hair care and cooking.

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 Keywords

Growth potential, Brand preference, Marketing strategies, Product perception, Brand Awareness.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The agricultural sector often faces significant inefficiencies due to the dominance of traditional market structures where intermediaries play a major role. This reliance on middlemen frequently results in reduced earnings for farmers and increased costs for consumers, creating a disconnect in the supply chain. To address these challenges, a web-based application for direct market access for farmers aims to provide a digital platform that connects farmers directly with buyers, including wholesalers, retailers, and individual consumers. By removing intermediaries, the application ensures fair pricing for agricultural produce, increases farmers' profits, and offers buyers access to fresh, high-quality products at competitive rates. This web-based solution functions as a comprehensive marketplace where farmers can register, create profiles, and list their produce, complete with details such as quantity, price, and expected availability. Buyers, in turn, can browse through these listings, make price comparisons, and place orders directly with farmers. The platform emphasizes transparency and simplicity, fostering trust and encouraging direct trade between farmers and buyers. By streamlining this interaction, the application not only benefits farmers economically but also empowers buyers to make more informed purchasing decisions. To enhance its functionality and provide a seamless experience, the platform integrates a range of features designed to optimize the supply chain. Farmers can update their product listings in real time, ensuring buyers always have access to the latest information. Secure payment mechanisms allow transactions to be processed efficiently, while integrated logistics support ensures timely and cost-effective transportation of goods. The platform also offers market analytics and demand forecasting, enabling farmers to align their production and sales strategies with market trends. Through these tools, farmers can make data-driven decisions that maximize their profitability while minimizing waste. In addition, the application incorporates support services to aid users, such as instructional resources, responsive customer service, and community forums that promote knowledge sharing and collaboration. By leveraging modern web technologies, the platform not only addresses inefficiencies in the agricultural value chain but also fosters sustainable practices. This innovation strengthens the economic resilience of farmers, supports local food systems, and contributes to food security and rural development, ultimately transforming the agricultural landscape into a more equitable and efficient ecosystem.

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 Keywords

Web application, Agriculture market, Direct users interaction

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Creative Commons Attribution 4.0 and The Open Definition

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This Study explores the impact of AI-driven strategies on sustainable social media marketing and their influence on consumer purchase behavior. Business enterprises continue increasing investment in artificial intelligence for achieving personalized, interactive, and relevant campaigns since the digital dynamics keep evolving. The paper discusses the role of AI technologies, for instance, machine learning and natural language processing, integrated in social media. This explores how such advanced analytical tools may be helpful to marketers in gaining better insights on consumer preferences, predicting purchase behavior, and optimizing the content delivery. The role of AI-powered chatbots, sentiment analysis, and recommendation systems are also further explored with respect to how they contribute to the interaction of the consumer and their purchase behavior. Furthermore, the research examines sustainable social media marketing with regards to long-term value generation, environmental awareness, and social responsibility. It shows how AI-based strategies may make for more sustainable, responsible, and socially responsive social media marketing, thereby gaining a niche for themselves with socially conscious consumers. The present paper seeks to shed light on some synergies between AI-driven strategies and sustainable social media marketing in an attempt to unlock them for marketers, businesses, and researchers alike in order to chart the fluid digital terrain for effective consumer engagement in the service of meaningful, responsible, and impactful activities.

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 Keywords

o AI-driven o Sustainable o Social media marketing o Consumer purchase behavior o Personalization

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Creative Commons Attribution 4.0 and The Open Definition

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This paper presents a comparative analysis of the daily routines and physical fitness results of boarding and non-boarding school students in the Imphal Valley. The report centers on a sample population of 200 secondary school students (100 girls and 100 boys) aged 14-19 years from Shishu Nistha Niketan School, Imphal, who were observed over a six-month period from October 2024 to March 2025. The study assesses differences in physical fitness measures, muscular endurance, and agility as informed by quantitative methodologies - descriptive statistics, and Pearson correlation coefficients. The data were collected using standard fitness measures, then analyzed using correlation regression analysis. The data indicated important differences in daily routines and physical fitness results between students in a boarding school and students in day school, with boarding students demonstrating different patterns of schedule adherence and physical activity than their non-boarding counterparts revealed. The findings of this study provide important insights into the environmental and routine factors that can influence adolescent physical fitness levels. The educational and health policy implications are discussed, along with best practice recommendations for managing student lifestyle choices. This exploratory research study adds scholarly literature investigating adolescent physical fitness and daily lifestyle patterns in the unique context of the Imphal Valley.

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 Keywords

Keywords: Imphal Valley, Physical, Routines, Fitness

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

State government work includes numerous transactions regarding various projects throughout the state. This includes the grant of new measures, initiatives, projects, contracts, and farmer plans. One of the most difficult factors targeted at Top is low levels of corruption, difficult to follow, and can deny the state. Due to the current system, persecution is very problematic, which provides the poor people with services that are difficult to pursue. In this case, we use blockchains that allow encryption and transaction security at every stage, and at the same time, maintain transparency so that all transactions are supported in the detection of their credibility. Therefore, we present a framework for using blockchain innovation and full fund transmission systems. Blockchain contains a growing list of data records called blocks. Cryptographically hashed data, a timestamp, and recent transactions are included in each block. To further enhance the system's ability to detect misuse, we integrate machine learning techniques that analyze transaction patterns to identify and flag potentially fraudulent activities automatically, increasing accountability and reducing manual oversight.

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 Keywords

Blockchain, Transactions, Security, Tracking, Transparency, Encryption, Machine Learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study focuses on the formulation and evaluation of an anticancer herbal capsule derived from the leaves of Moringa oleifera belonging into moringaceae family. A plant widely recognized for its potent medicinal properties. Moringa oleifera is rich in bioactive compounds such as flavonoids, alkaloids, and phenolic acids, which possess significant antioxidant and anticancer activities. In this research, dried and powdered Moringa oleifera leaves were subjected to extraction using suitable solvents to obtain the phytochemical-rich extract. The extract was then formulated into hard gelatin capsules using appropriate excipients to ensure content uniformity and stability .The prepared capsules were evaluated for various physicochemical parameters including weight variation, pH, disintegration time, drug content, and in-vitro dissolution profile. Additionally, preliminary phytochemical screening confirmed the presence of compounds associated with anticancer activity. In-vitro cytotoxicity testing was performed using selected cancer cell lines to assess the anticancer potential of the formulation. The results indicated that the Moringa oleifera capsule exhibited satisfactory pharmaceutical characteristics and demonstrated promising anticancer activity in vitro.

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 Keywords

moringa oleifera , anticancer capsule, moringaceae

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Algebra constitutes the cornerstone of mathematical problem-solving, offering rigorous techniques for analyzing equations and their solutions. This paper systematically examines algebraic methods for solving single-variable equations (linear, quadratic, and polynomial) and systems of equations (substitution, elimination, and matrix approaches). Furthermore, it highlights critical applications in physics, economics, and engineering while tracing the historical evolution of algebraic concepts. The discussion extends to modern computational tools that enhance algebraic problem-solving, concluding with prospects for future developments in algorithmic and AI-based solutions.

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 Keywords

Algebra Mathematical problem-solving Equations Single-variable equations Linear equations Quadratic equations Polynomial equations Systems of equations Substitution method Elimination method Matrix methods

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Trikatu, a classic Ayurvedic formulation, is a combination of three powerful spices: black pepper (Piper nigrum), long pepper (Piper longum), and ginger (Zingiber officinale). Known for its potent digestive and metabolic properties, Trikatu plays a crucial role in addressing various gut-related disorders. This article explores the composition, properties, therapeutic benefits, side effects, indications, and contraindications of Trikatu, with a particular focus on its impact on digestive health.

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Understanding Deepana Action WSR Trikatu

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Trade unions have historically performed a significant role in protecting and promoting labour rights and welfare. But unfortunately, with the emergence of globalisation, trade unions are in crisis. The majority of the unorganised labourers are beyond the influence of labour unions. Only employees of the formal sector are enjoying the support of unions in crucial situations. Indian trade unions are also facing certain challenges, including organisational issues of the trade unions themselves. In this situation, trade unions and their leaders should thoroughly study the basic issues of labour markets and policies of governments and employers and act as the true representatives of Indian labourers irrespective of sector.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Trade Union, Globalisation, Unionisation, Multinational Corporations

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Wind energy has emerged as one of the most promising sources of renewable energy, with wind turbine rotor blades serving as a critical component in converting wind into mechanical power. The performance, durability, and efficiency of these blades significantly influence the overall output of the turbine. This project focuses on the fabrication and modal analysis of a wind turbine rotor blade to evaluate its dynamic behaviour under operational conditions. The fabrication process involves the use of lightweight, high-strength composite materials such as, GFRP, CFRP, epoxy, polyester, graphene, and MWCNT. These materials are selected for their excellent mechanical properties, including high stiffness-to-weight ratios and resistance to environmental degradation. Fabrication is carried out using techniques like hand lay-up and vacuum bagging, ensuring precise layering and proper curing to achieve the desired blade shape and structural integrity. Following fabrication, modal analysis is performed to study the blade's vibrational characteristics. This analysis identifies the natural frequencies and mode shapes of the rotor blade, which are essential for understanding its dynamic response to external excitations like wind gusts and mechanical vibrations. Finite Element Analysis (FEA) tools are used to create a detailed model of the blade, and boundary conditions are applied to simulate real-world mounting scenarios. Understanding the modal behaviour is crucial to prevent resonance, which can lead to structural failure or reduced operational life. The results from the modal analysis provide valuable insights for optimizing blade design, enhancing reliability, and ensuring safe and efficient turbine operation. This project demonstrates the integration of advanced manufacturing and analytical techniques to improve the design and functionality of wind turbine rotor blades, supporting the continued growth of clean energy technologies.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

KEY WORDS :Wind Turbine Blade,NACA 63415, Modal Analysis, Deformation , Solid Works .

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Creative Commons Attribution 4.0 and The Open Definition