Volume 13 | Issue 4

 Abstract

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: Imphal Valley, Physical, Routines, Fitness

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

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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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moringa oleifera , anticancer capsule, moringaceae

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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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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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Trade Union, Globalisation, Unionisation, Multinational Corporations

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

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Digital agriculture uses next-generation technologies to change the face of modern farming through AI, IoT, big data analytics, and remote sensing. This enables farmers to base their decisions on data to take resource optimization steps, improve yield, and achieve sustainability. This paper discusses the role of digital devices in precision agriculture, smart irrigation, automated machinery, and predictive analytics with a nod towards their efficiencies enabling an environmental sustainability scale. Even though digital agriculture began gathering steam, its massive adoption faces infrastructure limitations in developing regions, data privacy issues, and the digital divide that could exist between developed and developing regions. Other than case studies and updates on recent developments, the present study probes the landscape of digital agriculture, possible barriers, and the directions it is likely to take from now on and sets them against the backdrop of ensuring global food security and sustainable agriculture

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Digital Agriculture, Precision Farming, Internet of Things (IoT), Artificial Intelligence (AI), Big Data, Smart Irrigation, Sustainable Agriculture.

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Pune is currently experiencing acute water scarcity, primarily due to the over-extraction of groundwater, which has resulted in significant aquifer depletion and borewell depths extending to nearly 450 feet in several areas. The construction industry, being one of the largest consumers of potable water, further exacerbates this challenge. Although treated wastewater from Sewage Treatment Plants (STPs) is available, its application remains limited and underutilized. This study investigates the feasibility of restoring the historic Peshwa-era aqueducts--an 18th-century water supply system that once extended over 20 kilometers and served more than 200 locations across the city--as a sustainable supplement to current water resources. Through a multidisciplinary approach involving technical assessment, historical analysis, and stakeholder engagement, the research also includes monthly water sampling from key sites such as Bagul Udyan and Tapowan Society in Parvati Paytha to evaluate water quality for potential use in drinking (with minimal treatment), gardening, and construction. The objective is to propose a sustainable water management framework that reduces dependence on groundwater while integrating heritage infrastructure into modern urban planning.

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Groundwater Depletion, STP Water, Peshwa-era Aqueduts etc

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This study examines the level of employee engagement in a housing finance company, with a focus on factors such as job satisfaction, salary, benefits, work environment, career growth, recognition, and communication. A survey was conducted with 156 employees from various departments within the company to understand how these factors impact employee motivation and retention. The results reveal that while employees are generally satisfied with peer relationships and the office environment, there are significant areas for improvement, particularly in compensation, career development, and communication. Based on these findings, the study offers recommendations for the HR department, including the implementation of tailored policies considering employees' age and marital status, infrastructure upgrades, and the integration of modern technology to enhance the work environment. Additionally, it suggests introducing employee recognition programs, regular feedback systems, training opportunities, and promoting open communication to foster a positive workplace culture, improve employee morale, and strengthen retention.

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Employee Engagement, Job Satisfaction, Motivation, Retention, Workplace Communication

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Video analysis in sports has emerged as an essential resource for improving performance and tactics in different athletic domains. This study examines multiple algorithms and techniques applied in sports video analysis to identify patterns and strategies in video footage. We employ approaches such as tracking players and objects, offering crucial information to comprehend the dynamics of the game. The progress of computer assistance in sports is transformative. Our goal is to elucidate how these methods aid in player training, strategy formulation, and the evaluation of various techniques in regard to their advantages and disadvantages.

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Video Analysis, Real-time Tracking,Tactics Recognition, Highlight Extraction, Tracking Techniques, Game Performance.

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A healthy lifestyle is pivotal in preventing chronic diseases and enhancing quality of life. This review explores the intricate relationship between healthy dietary patterns and lifestyle choices, highlighting their synergistic effects on physical, mental, and emotional health. Emphasis is placed on balanced nutrition, regular physical activity, adequate sleep, and stress management. The paper discusses current evidence and global health recommendations to promote sustainable health behaviors

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healthy food, lifestyle, nutrition, physical activity, well-being, disease prevention

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This study aims to explore the perceptions and satisfaction levels of clients regarding the infrastructure facilities and services provided in Special Economic Zones (SEZs) in Chennai. SEZs play a critical role in promoting industrial growth, attracting foreign investment, and generating employment. However, their success is heavily dependent on the quality of infrastructure and services offered to businesses operating within them. The research focuses on identifying the key infrastructure elements--such as transportation, utilities, communication networks, and security--and service-related aspects like administrative support, ease of doing business, and responsiveness of SEZ authorities. Primary data was collected through structured questionnaires distributed among clients operating in various SEZs across Chennai. The study uses both descriptive and inferential statistics to analyze the data. Findings indicate that while clients appreciate the location advantages and basic infrastructure, there is a growing demand for improvements in service efficiency, maintenance, and digital facilities. The study concludes with recommendations for SEZ developers and policymakers to enhance infrastructure standards and service delivery mechanisms to improve client satisfaction and long-term sustainability of SEZs in Chennai.

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Infrastructure development, service quality, and client satisfaction

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Women empowerment

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Women empowerment

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In this Paper we present an approach for conditioned and composed image retrieval based on CLIP features. In this extension of content-based image retrieval (CBIR) an image is combined with a text that provides information regarding user intentions, and is relevant for application domains like e-commerce. The proposed method is based on an initial training stage where a simple combination of visual and textual features is used, to fine-tune the CLIP text encoder. Then in a second training stage we learn a more complex combiner network that merges visual and textual features. Contrastive learning is used in both stages. The proposed approach obtains state-of-the-art performance for conditioned CBIR on the Fashion-IQ dataset and for composed CBIR on the more recent CIRR dataset..

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Image Retrieval, Fine Tuning, Clip based Features, Visual and Image Pre training.

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This study explores the marketing challenges encountered by maize producers in the taluks of Pollachi and Mettupalayam in Coimbatore district, Tamil Nadu. Maize, a significant cereal crop in India's agricultural economy, faces various marketing hurdles that affect producers' profitability and sustainability. The research investigates key issues such as price fluctuations, inadequate storage infrastructure, high transportation costs, limited direct market access, and the dependence on middlemen. A descriptive research design was employed, and data were collected from 125 maize farmers through structured questionnaires. Statistical tools like percentage analysis, Likert scale, chisquare test, and ranking methods were used to interpret the data. The findings reveal a general lack of awareness among farmers regarding government schemes, market trends, and digital marketing platforms. The study underscores the need for improved policy awareness, enhanced storage and transportation facilities, promotion of Farmer Producer Organizations (FPOs), and the use of digital tools to empower farmers. Recommendations are proposed to address these marketing constraints and foster a more sustainable and profitable maize production ecosystem in the region

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Marketing challenges, awareness, government schemes

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The socks were produced using yarns with a 30s Ne count, consisting of two different compositions: 100% cotton and a blend of 60% cotton with 40% bamboo. The 30s Ne refers to the yarn's thickness, indicating a finer yarn suitable for creating comfortable and durable socks. The use of 100% cotton yarn ensures softness, breathability, and moisture-wicking properties, while the cotton-bamboo blend combines the natural qualities of cotton with the added benefits of bamboo, such as enhanced moisture management, anti-bacterial properties, and sustainability. This combination of yarns contributes to the overall comfort and functionality of the socks.

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Socks, Cotton, Bamboo, Knit structure, Moisture management properties

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Background: Breast cancer is one of the most prevalent forms of cancer affecting women globally, and early detection plays a crucial role in reducing morbidity and mortality. Breast Self-Examination (BSE) is a simple, cost-effective method for early detection. Aim: This study aims to assess the awareness and knowledge regarding BSE among women in selected rural areas of Haryana. Methodology: A descriptive research design was adopted. The study included 60 women selected through non-probability purposive sampling. Data was collected using a structured questionnaire and analyzed using descriptive and inferential statistics. Results: Among 60 participants, 16.7% had poor knowledge, 55% had average knowledge, and 28.3% had good knowledge. Factors such as education and previous exposure to information on BSE showed a significant association with awareness levels. Conclusion: The study reveals that while awareness exists among some women, the overall knowledge regarding BSE remains limited. Targeted health education and community-based interventions are essential to empower women with life-saving knowledge and practices.

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Awareness, Knowledge, Breast Self-Examination

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The exponential rise of online shopping has significantly influenced consumer behavior and led to the widespread adoption of digital wallets as a preferred payment method. This study explores the impact of e-commerce growth on the adoption and usage of digital wallets among Indian consumers aged 18 to 55. By employing both qualitative and quantitative research methods, including surveys and secondary data analysis, the study identifies key factors driving digital wallet usage--such as convenience, security, faster checkout, and promotional offers like cashback. Findings reveal that while a majority of users appreciate the speed and ease of use provided by digital wallets, concerns around security, privacy, and limited merchant acceptance remain notable barriers to adoption.The research also highlights the growing trend of digital wallets being used for impulse purchases and daily transactions. Based on the insights gained, the study offers suggestions to enhance digital wallet features, promote trust, and expand their usability. Ultimately, the study underscores the transformative role digital wallets play in shaping the future of online shopping and digital payment ecosystems

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Digital wallets, online shopping.

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Abstract Longitudinal Submerged Arc Welded (LSAW) steel pipes are critical in high-pressure applications, and their manufacturing quality directly influences safety and reliability. This paper explores the integration of digital manufacturing technologies and artificial intelligence (AI) to enhance the precision, efficiency, and defect detection capabilities in LSAW pipe production. Leveraging machine learning (ML) algorithms, such as convolutional neural networks and object detection models like YOLOv5, combined with sensor-based monitoring systems, enables real-time quality prediction and process optimization. This approach significantly reduces the risk of welding defects, improves operational efficiency, and supports adaptive control throughout the welding lifecycle. The results indicate that incorporating AI-driven quality monitoring in digital manufacturing frameworks can substantially elevate the quality and consistency of welded steel pipes, paving the way for autonomous, intelligent production lines.

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LSAW pipes, digital manufacturing, artificial intelligence, machine learning, weld quality, defect detection, real-time monitoring

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