Volume 13 | Issue 4 |

 Abstract

This paper analyzes how Kantha is a heritage of Bengal and how it is predominant mainly in the Bengali houses. It is an ongoing practice followed from centuries and still unknown to many. Like other a few Bengal-made stitches, Kantha with its unique and easy style of stitching has leveled up Bengal's identity. It has become one of the luxurious sarees of Bengal because of its running stitch embroideries and the intricate and heavy details made by the crafters. There are different types of Kanthas as given in this paper which shows the non-repetitive designs made on fabrics. Kantha is not only just a piece of embroidered cloth but it is also a symbolization of lifestyle, household of many houses. It depicted the lives of farmers, laborers and the pastimes of the makers or women crafters. Thus it becomes significant to the Eastern parts of India and even today the new generations are learning the process from their mothers to their grandmothers.

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 Keywords

Kantha, Stitches, Household, Embroidery, Women, Patchworks

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Persons with disabilities are increasingly being offered a variety of therapies as alternatives, and one of the popular therapies in exploring the effect on their learning and social skill is the use of Music Therapy. Music therapy uses music as a medium for individuals to express their feeling and address their emotions in therapeutic process. In the current study, the authors explore the use of music therapy among the individuals suffering from mental health and disability. Music has a proven to have improvement in overall quality life in people with disabilities. 17 participants were observed on different domains including psycho-motor domain, social skills domain, communication skill domain, emotional domain and cognitive domain over different periods of time. The investigators scored participants in the above domains. The research findings indicate the need for further investigation as although there is a positive effect of music therapy on the beneficiaries, there were no significant differences found in the use of music therapy across domains.

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 Keywords

Psycho-motor Skills, Social Skills, Communication Skills, Emotional Domain, Cognitive Domain

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The mobile application is designed to enhance residential building management by streamlining communication between residents and Treasurer/Committee members. It allows users to submit and track maintenance requests, view payment statuses in real-time, and securely upload payment proofs. The application supports cloud-based data storage and synchronization, providing a platform for detailed maintenance analysis, expense tracking, and asset management. The system is designed to be user-friendly, secure, reliable, and maintainable, addressing common challenges in residential building management such as inefficient communication and manual data handling. In addition to the core features, the mobile application offers robust role-based access control, ensuring that sensitive actions, such as verifying payment proofs or adding new members, are restricted to authorized personnel like committee members. This enhances security by preventing unauthorized changes. The application also incorporates a notification system that sends real-time alerts to residents about important updates, such as payment requests or community notices, fostering better engagement.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Society Management, Two factor authentication, Cloud Storage

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Creative Commons Attribution 4.0 and The Open Definition

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Infrastructure development is the backbone of a country's economic growth. But infrastructure projects nowadays mostly suffer from overruns in respect of time and cost. They have become a global obstacle hampering the pace of infrastructure development. Presently, infrastructure projects globally are suffering from cost and time overruns irrespective of private or government-owned projects. In India, the Central Sector Projects are infrastructure projects planned, implemented and monitored by the Union Government which plays a pivotal role in India's infrastructure development. However, due to economic malaises like cost and time overruns, a massive financial burden has been put on the government even exaggerating some sectors. Mostly, these projects commence with their date of commissioning but either face delays or cost overrun or with both. This paper is an attempt to analyse the trends of cost and time overruns in the Central Sector Projects for a specified period (2015-2021). The present study has adopted a secondary method of data collection and hence referred to government reports. Some sectors witnessed a maximum number of projects with cost and time overruns. An analysis is done through Kendall's Rank Correlation Coefficient (T) between cost and time overruns of varied sectors. The paper concludes by providing some implications for future research and policy formulation for the government and project participants.

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 Keywords

Project management, Project monitoring, Central Sector Projects, Cost overrun, Time overrun

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Creative Commons Attribution 4.0 and The Open Definition

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This research traces the evolution of insolvency laws in India, culminating in the enactment of the Insolvency and Bankruptcy Code (IBC), 2016. It examines the fragmented and ineffective pre-IBC legal framework and highlights the significant role played by the Bankruptcy Law Reforms Committee (BLRC) in shaping a unified insolvency regime. The study further explores the institutional architecture and key features of the IBC, such as time-bound resolution, creditor-driven processes, and the establishment of specialized adjudicating authorities. By analyzing these aspects, the research underscores how the IBC has transformed India's insolvency landscape, promoting efficiency, accountability, and financial stability.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Insolvency and Bankruptcy Code, IBC 2016, Insolvency Laws in India, Bankruptcy Law Reforms Committee, Pre-IBC Framework, Corporate Insolvency Resolution Process, Insolvency Professionals, NCLT, Financial Distress, Institutional Framework, Creditor Rights, Debt Resolution, Legal Reforms in India, Insolvency Ecosystem, Economic Recovery.

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Creative Commons Attribution 4.0 and The Open Definition

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Pregnancy is a unique and complex physiological state, marked by significant changes in the physical, emotional, and social dimensions of a woman's life. The first trimester, in particular, is a critical period, characterized by rapid embryonic development, hormonal fluctuations, and adaptations to the pregnancy state. Common discomforts such as morning sickness, fatigue, mood swings, and breast tenderness are ubiquitous during the first trimester, affecting up to 80% of pregnant women. These discomforts can significantly impact a woman's quality of life, daily functioning, and overall wellbeing.Conventional treatments provide symptomatic relief, but individualized homeopathic medicine offers a holistic approach by addressing the underlying susceptibility of each patient.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Homoeopathy, pregnancy, first trimester, common discomforts, morning sickness, fatigue, mood swings.

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Creative Commons Attribution 4.0 and The Open Definition

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PharmaNext is a pioneering project aimed at revolutionizing the medicine delivery process through intelligent automation. By integrating Artificial Intelligence (AI) and Robotic Process Automation(RPA), PharmaNext seeks to streamline healthcare logistics, enhance the accuracy of medication dispensation, and improve patient experience. The system leverages AI algorithms to predict and manage Inventory needs, ensuring timely delivery of medications while minimizing errors. RPA components automate repetitive tasks such as Order processing and tracking, allowing healthcare providers to focus on patient care. This project emphasized the importance of a hassle-free medicine delivery system, ultimately leading to greater efficiency in pharmaceutical services and better health outcomes for patients. By leveraging AI and RPA to optimize healthcare data and medicines supply which help to reduce waiting time of consumers and also avoid congestion over peak outpatient hours.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

API Integration, Robotics in Automation, Real-time Data processing, Machine learning , QR Code scan, Medicine dispenser

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Advertising is a powerful tool in the confectionery industry, where consumer choices are often driven by brand perception, emotional appeal, and marketing influence rather than necessity. This study explores the impact of advertising on confectionery products, analyzing how various promotional strategies shape consumer behavior, brand loyalty, and market competition. The research examines traditional and modern advertising methods, including television commercials, digital and social media marketing, celebrity and influencer endorsements, and in-store promotional activities. A key focus of the study is understanding the psychological and emotional triggers employed in confectionery advertising, such as nostalgia, happiness, indulgence, and sensory appeal, which play a crucial role in consumer decision-making. Additionally, the study evaluates the effectiveness of different advertising campaigns through case studies of successful confectionery brands and consumer surveys. It further investigates the role of demographic factors, including age, income, and cultural influences, in determining the impact of advertising strategies. The findings reveal that effective advertising not only increases brand visibility and product sales but also fosters long-term customer engagement and preference. However, the study also highlights challenges such as market saturation, changing consumer preferences, and regulatory restrictions on advertising sugary products, which can influence marketing strategies. The research provides valuable insights for confectionery businesses and marketers on optimizing advertising efforts to maintain competitive advantage and enhance consumer engagement.

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 Keywords

Advertising, Confectionery industry, Consumer behavior, Brand loyalty, Marketing strategies, Emotional appeal, Psychological triggers, Traditional advertising, Digital marketing, Social media marketing, Celebrity endorsements, Influencer marketing, In-store promotions, Nostalgia, Indulgence, Sensory appeal, Demographic factors, Cultural influences, Market competition, Consumer engagement, Brand perception, Product sales, Regulatory restrictions, Marketing effectiveness, Case studies

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The textile industry is experiencing a significant shift in operations with the integration of Artificial Intelligence (AI) in production, quality and supply chain processes. AI-driven automation improves operation efficiency, decreases errors, and helps organizations to become more efficient, but it also can impact employee performance, job roles, and skill. This research studies the impact of AI on employees in the textile industry in relation to changes in productivity, job satisfaction, and workforce adjustment. An exhaustive literature review was carried out to assess previous research on AI in textiles. This research identifies primary challenges such as job loss, skill misalignment, and employee apprehension to AI integration, but has also found AI changes to improve productivity, work-life balance, and collaboration. The findings of this research underscore organizational needs for targeted reskilling initiatives, employee engagement programs, and human-AI integration models to maintain a sustainable workforce in textiles. This research delivers valuable contribution to textile industry employers, human resource professionals, and public policy developers to help develop AI integration models which balance operational efficiency and employee satisfaction. The research concludes that AI integration in textiles can be optimized by putting in place proactive workforce planning initiatives and employee training, alongside developing a positive approach to technological adoption in the workplace.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, Employee Performance, Textile Industry, Automation, Job Roles, Workforce Adaptation, Skill Development, AI Integration.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Statement of Problem: - A descriptive study to assess the knowledge regarding anthropometric measurement of 0-6 years of age among Nursing Students of Desh Bhagat University School of Nursing Mandi Gobindgarh District Fatehgarh Sahib Punjab. Material and Method: - Quantitative research approach and non-experimental descriptive research design was used to accomplish the stated objectives data was collected with the help of self-structured knowledge questionnaire. Pilot study was done on [1/10 th sample] which constituted of students of Desh Bhagat University School of Nursing to check reliability and feasibility of the study. Subjects were chosen by the purposive sampling technique and sample size was 60. The data collected was analysed by using descriptive and inferential statistics. RESULTS The percentage distribution of Nursing students as per their knowledge regarding anthropometric measurement of 0-6 years of age. 0.0% students have Adequate knowledge,18.3% students have Moderate knowledge and a considerable portion of Nursing Students i.e 81.7% have Inadequate knowledge. The Chi-square value shows that there is significance association between the score level and demographic variables (Types of Houses). The calculated chi-square values were more than the table value at the 0.05 level of significance. There is no significance association between the level of scores and other demographic variables (Age, Gender, Religion, Education of Student, Type of Family, Total Family Income, Occupation of Father, Occupation of Mother) The calculated chi-square values were less than the table value at the 0.05 level of significance Conclusion: - The data collected was analysed by using descriptive and inferential statistics. The pie and bar diagrams were used to depict the findings. The maximum students [81.7%] were having inadequate knowledge regarding anthropometric measurement of 0-6 years of age among Nursing students of Desh Bhagat University School of Nursing, followed by [18.3%] moderate and [0.0%] were having adequate knowledge regarding anthropometric measurement of 0-6 years of age among Nursing students of Desh Bhagat University School of Nursing respectively. Pamphlets were prepared and distributed to the students to bring more knowledge on anthropometric measurements.

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 Keywords

anthropometric measurement, students and school.

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Creative Commons Attribution 4.0 and The Open Definition