Volume 13 | Issue 6 |

 Abstract

: The textile industry in Tirupur, often referred to as the "Manchester of South India," has traditionally relied on printing methods such as screen, block, and rotary printing

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital Textile Printing, Traditional Printing, Color Accuracy, Employee Perception.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An essential element of India's socioeconomic development is women's education. Due to institutional flaws, sociocultural limitations, and economic constraints, women have historically had fewer opportunities for education. Particularly in rural and deprived populations, caste-based discrimination, early marriage, and traditional gender roles continue to limit girls' access to their educational institutions. Educational disparities become harsher by economic obstacles such as poverty and the invisible costs of education. High dropout rates among girls are caused by societal issues such as poor infrastructure, substandard education, and safety concerns. Furthermore, even if programs like the Right to Education Act (2009) and others seek to increase access and quality, their effectiveness is frequently weakened by inconsistent enforcement and implementation flaws. This paper aims to establish the relationship between women's education in India and its impact on socio-economic development. Economic growth and social justice are two aspects of socio-economic development, which is a broad concept that implies an improvement in the social potential, quality, and standard of individuals and the communities in which they live. Several studies reveal that that higher the education of women, greater is their participation in decision making and they acquire progressive opinion on different issues. The social influence of women's education is substantial. Moreover, the women go beyond social responsibility and can have a positive impact on the economy. Thus, a nation's high levels of development, including its economic growth, are correlated with an increase in the number of educated women living there. Women's education also leads to women's empowerment.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Women's Education, Socioeconomic Development, Educational Opportunities, Gender Disparity, Women Empowerment, Social Responsibility.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Satisfaction is the positive emotional response of customers towards a product or service, and it is the outcome of previous experience. The present study is conducted to analyse the level of satisfaction of the customers towards the Luxury Segment of cars and to analyse the influence of the income level of customers on their level of satisfaction. For this, the respondents' satisfaction with their luxury car brands was identified based on their satisfaction with technical attributes and non-technical attributes of the car. The area of the study is limited to the Ernakulam district, Kerala. Primary data was collected from 380 luxury car owners through the snowball sampling method. Findings revealed that performance is a highly considered technical factors, while the feeling of comfort is the main factor that leads to the satisfaction of non-technical attributes. A highly significant relationship remained between the annual income of the customers and their level of satisfaction on technical attributes, whereas no such association was found between the income level of customers and their satisfaction level on non-technical attributes.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Customer satisfaction, Luxury Car, Technical attribute, Non-technical attribute, Income class

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Business Intelligence (BI) has undergone a transformative evolution, shifting from traditional, retrospective reporting systems to advanced, intelligent platforms that leverage Artificial Intelligence (AI) technologies. This paper introduces a structured, multiagent architecture to enhance BI systems with autonomous functionalities spanning the entire data pipeline--from acquisition and processing to analytics and decision support. The proposed five-layer framework incorporates specialized AI agents for data enrichment, predictive modelling, prescriptive analytics, and user interaction. These agents work collaboratively to ensure data-driven insights are generated and delivered in real-time, facilitating agile and context-aware decision-making processes. The model is contextualized through applications across diverse business functions, including customer behaviour analysis, sales forecasting, and inventory optimization. Organizations can achieve higher analytical precision, operational efficiency, and strategic foresight through this architecture. In addition to technical design, the study addresses implementation challenges, such as data quality, model interpretability, and ethical considerations in AI deployment. Ultimately, this paper contributes to the growing knowledge of AI-integrated BI by offering a scalable and modular solution that empowers organizations to transition from reactive analytics to proactive and autonomous decision environments.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Business Intelligence, Artificial Intelligence Agents, Predictive Analytics, Prescriptive Analytics, Decision Support Systems, Intelligent Architecture

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Health literacy is critical to effective healthcare delivery, particularly in marginalized communities. Accredited social health activists (ASHAs) and Anganwadi workers (AWWs) are frontline community health workers (CHWs) in India and play a significant role in promoting health literacy among marginalized communities. This study aimed to assess the health literacy of AWWs and ASHAs, explore opportunities for enhancing their health literacy, and identify challenges in promoting health literacy among the communities they serve. A literature review explored the understanding, challenges, and opportunities for health literacy among CHWs. CHWs are central to addressing this gap but face significant challenges, including inadequate funding, human resource systems that devalue practical experience, and systemic obstacles. Despite these challenges, the paper identifies key opportunities to enhance CHW effectiveness and, consequently, public health literacy. These include creating standardized, accessible health education modules; leveraging digital tools for ongoing learning; strengthening CHW integration with primary healthcare; implementing health literacy assessments in training; and fostering community engagement for tailored health messaging. Addressing the identified challenges and leveraging opportunities can enhance the effectiveness of CHWs in promoting health literacy, ultimately bridging the gap between healthcare systems and marginalized communities.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Health literacy, community health workers, well-being, and health care access.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Agriculture-based industries hold significant importance in a country like India, where a large portion of the population depends on agriculture for livelihood. These industries are essential not only for processing and value addition of agricultural products but also for promoting rural development and employment generation. This research paper examines the current status, potential, and major challenges faced by key agriculture-based industries in India, including textiles, sugar, food processing, paper and pulp, fertilizers, and agricultural machinery. The study identifies critical issues such as seasonal supply of raw materials, lack of modern technology, limited capital availability, marketing difficulties, complex labor laws, and infrastructural inadequacies. Despite these challenges, the paper highlights the vast untapped potential of these industries to reduce rural-urban migration, address disguised unemployment, uplift rural economies, and contribute to sustainable economic growth. The research emphasizes the urgent need for integrated policy support, investment in technology, infrastructure enhancement, and institutional reforms to realize the full potential of agriculture-based industries in India.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agriculture-based industries, Rural development, Food processing, Textile sector, Employment generation, Policy support, Sustainable growth

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In order to conserve natural resources and economize energy, weight reduction has been the main focus of machine parts manufacturers in the present scenario. Weight reduction can be achieved primarily by the introduction of better material, design optimization and better manufacturing processes. The egg shell powder composite is one of the potential items for weight reduction of about 20% - 30%. The introduction of egg shell powder composite materials was made it possible to reduce the weight without any reduction on load carrying capacity, more elastic strain energy storage capacity and high strength to weight ratio as compared with those of steel. The use of organic waste in concrete is increasingly becoming implemented in design codes. Fibres are known to have an influence on the cracking process and thereby on the material toughness. However when fibres are used in beams, which include a relatively small amount of conventional flexural reinforcement, their effect can be localized in a limited part of the concrete. Such localization may lead to a reduction of ductility rather than to its increase, as observed in a study of high strength concrete beams, with and without fibres. This project presents structural tests with normal strength fibre reinforced concrete with reinforcement ratios that varied between 0 to 30%. The results will show the effects of compression strength of the cube.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Egg Shell, Elastic Strain Energy, Organic Waste, Flexural Reinforcement, Compression Strength.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The study of cinema is only one of the many disciplines that have been transformed by the use of Immersive technology in education. The potential of Immersive technology to improve the educational experience for students studying film and cinema is examined in this research paper. Students may participate with films as producers, reviewers, and analysts in addition to viewers thanks to Immersive technology 's immersive and interactive surroundings. The advantages of Immersive technology in film studies are examined in this research, with a focus on how it might improve knowledge of complex visual storytelling, narrative structure, cinematic methods, and spatial awareness. It also discusses the difficulties in incorporating immersive technology into conventional courses and the potential applications of immersive technology in film education. According to the research, Immersive technology has promise for developing more dynamic, experiential learning settings that encourage critical thinking, creativity, and a more profound appreciation of cinema as an art form. The immersive, interactive learning environment that Immersive technology provides in film studies improves students' comprehension of story structures, audience participation, and cinematic methods. Technology facilitates immersive learning by mimicking real-world situations and movie settings, which encourages critical thinking and creativity. It enables the first person exploration of set up, camera movement, and spatial narrative. By bridging the gap between theory and practice, Immersive technology enhances the effectiveness and engagement of cinema education. This innovative method changes conventional teaching, educating students for the rapidly changing digital media scene and giving them the tools they need to produce and analyze films in the future

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Immersive learning, narrative structure, Immersive technology, film studies, cinematic techniques

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Transdermal drug transport systems (TDDS) have become a groundbreaking method in modern pharmacology. providing an innovative, non-invasive approach for administering Topical medicinal drugs. These systems offer several advantages, which include managed drug release, reduced aspect consequences, and stepped forward affected person adherence. This evaluation traces the historical evolution of TDDS, from early rudimentary packages to advanced drug delivery mechanisms employing nanotechnology, microneedles, and wearable gadgets included with actual-time tracking competencies. The materials and technology underpinning TDDS, together with polymer matrices, permeation enhancers, and smart structures, are examined in detail, along with strategies to deal with challenges like the pores and skin's barrier homes and drug stability. latest improvements spotlight the ability of TDDS in customized medication, wherein synthetic intelligence and adaptive delivery structures permit tailor-made treatments based on individual affected person wishes. whilst regulatory and system challenges persist, improvements along with materials, mixture treatment options, and precision-engineered drug providers are increasing the applicability of TDDS. searching ahead, TDDS is ready to tackle a vital role in addressing the healing demands of continual diseases, biologics, and focused treatments, solidifying its position as a cornerstone of destiny healthcare innovations.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Transdermal drug transport systems (TDDS), tailor-made treatments, nanotechnology, customized medication, precision-engineered drug.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper describes an intelligent, automated system for the early diagnosis of nail diseases using deep learning techniques. Nail diseases may represent other health conditions, such as fungal infections, skin diseases, and systemic diseases. Existing methods for diagnosing nail diseases still rely on visual, manual inspections or thin nail clippings, which are relative, subjective assessments, manual, and difficult to scale. The proposed system utilizes deep learning, specifically convolutional neural networks, and custom implementation of the well-known VGG16 and GoogLeNet architectures, to classify nail images into eight different diseases. Feature-level and decision level fusion provided a vehicle to improve prediction accuracy by taking advantage of the strengths of each architecture. We trained the mode on a custom dataset of annotated nail images, performing appropriate preprocessing and augmentation, and produced a user-friendly, real-time disease prediction system, using Streamlit, through the provision of a frontend user interface, simply requiring users to upload their nail images . Evaluation metrics such as overall accuracy, precision, recall, and f1-score indicate that the proposed fusion-based architecture performs better than either individual model. Overall, the system provides a good alternative to existing invasive methods for diagnosing nail diseases, especially for healthcare access with certain health challenges such as being in remote locations. The system represents an alternative early diagnosis model, which is automated, non-invasive, and scalable.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nail Disease Detection, Deep Learning, Convolutional Neural Networks ,VGG16, GoogLeNet, Feature - Level Fusion, Decision - Level Fusion , Medical Image Classification, Streamlit GUI, Early Health Assessment

  License

Creative Commons Attribution 4.0 and The Open Definition