Volume 13 | Issue 3 |

 Abstract

This project focuses on the design and development of an innovative and user-friendly library portal. The portal aims to make libraries more accessible, effective, and innovative, thereby enhancing the overall user experience. Our goal is to create a portal that meets the needs of libraries and provides users with a seamless and convenient experience, allowing them to easily access library resources and services. To achieve this goal, we have undertaken a comprehensive approach, involving user research and analysis, portal design and development, portal security and privacy, and portal testing and evaluation. By incorporating the latest technologies and design principles, we aim to create a portal that is not only visually appealing but also highly functional and user-friendly. Ultimately, our objective is to create a portal that helps libraries become more innovative and effective, while providing users with a seamless and convenient experience.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Revolutionizing Libraries, Next-Gen Portal.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigates what drives consumer preferences when it comes to coupon code-based promotions in the e-commerce sector, with a focus on Coimbatore city. As online shopping continues to grow, businesses are increasingly turning to coupon codes to attract and keep customers. The goal of this research is to uncover the factors that influence how consumers interact with these promotions. A survey was conducted with 140 online shoppers to gather insights on their demographic details, shopping habits, and preferences for different types of coupon codes. This study explores the usage and impact of coupon codes on e-commerce shoppers in Coimbatore. Primary data for the research was collected through surveys distributed to online shoppers, while secondary data was gathered from academic journals and research papers. A structured questionnaire was designed to examine key aspects such as coupon usage frequency, preferred discount types, satisfaction with available coupon codes, and their influence on purchasing decisions. The study employed a simple random sampling method, targeting frequent online shoppers familiar with coupon codes, with a minimum sample size of 140 respondents to ensure adequate representation. Data analysis was conducted using percentage analysis, chi-square tests, and graphical representations to derive meaningful insights.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Consumer Preferences, Coupon Codes, E-commerce sectors, Promotional Activities, Online Shopping, Customer Satisfaction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Agricultural exports are a key driver of India's economy, supporting millions of farmers and contributing to foreign exchange earnings. This study explores how India's agricultural exports have performed over the past five years, identifying trends, challenges, and opportunities. By analysing export data from 2019-20 to 2023-24, the study examines which products and countries have shown growth and where struggles persist. While factors like better technology, favourable policies, and strong global demand have boosted exports, challenges such as unpredictable weather, price fluctuations, and trade restrictions continue to pose hurdles. The findings highlight the need for better infrastructure, policy support, and value addition to help Indian farmers and exporters stay competitive in global markets.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agriculture exports

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Leadership is a critical determinant of success in the dynamic IT sector. This study analyzes the different leadership styles in Coimbatore's IT sector and their influence on organizational performance, as well as employee satisfaction and productivity. It was undertaken primarily by collating data through questionnaires, with 100 respondents, to examine leadership styles such as democratic, transformational, transactional, and autocratic. The study also examined barriers to effective leadership that include authoritarianism, stale adherence to practices, and poor communication. Chi-square and regression analyses show how age can significantly affect the effectiveness of a leadership style, and the influence of leadership satisfaction on job satisfaction and motivation was small. The study emphasizes participative and innovative leadership approaches that enhance both employee engagement and organizational growth in the IT sector of Coimbatore.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Leadership style, IT sector, Organizational performance, Coimbatore, Employee satisfaction, Productivity, Democratic leadership, Transformational leadership, Transactional leadership, Autocratic leadership, Barriers to leadership, Authoritarianism, Communication issues, Chi-square analysis, Regression analysis, Leadership effectiveness, Job satisfaction, Motivation, Participative leadership, Innovative leadership, Employee engagement, Organizational growth

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Dr. Bhim Rao Ambedkar, popularly known as architect of the Indian Constitution, was one of the most popular intellectuals of the 20th century in India. He was a versatile personality who has acted as economist, social reformer, revolutionary, profound personality and emancipator of depressed women. He was a beacon for the crores of oppressed, down-trodden people and was recognized as Masiha of depressed, untouchable. His exposure to foreign education has influenced his views on women rights. He worked firmly for elevating the women status. Other than launching various social movements, Ambedkar initiated Hindu Code Bill in the parliament. He played important role in creating awareness of Indian women and inspired women to fight against unfair social practices in the society. In this article, as part of Ambedkar Prespective presentation is made to the root cause of miserable plight of women in Indian Society and reformative initiatives taken by Ambedkar during Pre Independence perioed and relevance of his contribution in contemporary time related to Labour Code of Contemporary for the benefit of the dalit and poor women labour.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Women Empowerment, Untouchability, Social Justice, Gender equality, Feminism, Hindu Code Bill

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The extremely high pace at which data increases in domains such as health and sports makes it increasingly apparent that there is a need for systems that can quickly extract and process domain-specific information. Often such traditional approaches would have different models for each of the domains, which brings even more complex and resource-consuming setup processes. This work introduces a joint pipeline towards extracting information across domains in such a situation where transfer learning is efficient. The understanding that makes it even more compelling is that it uses fine-tuning on multi-domain tagged datasets like healthcare and sports to eliminate the need for separate domain-specific models by pre-trained transformer models available like BERT. Architecture provides domain classification as well as named entity recognition (NER) and relationship extraction. A new prioritization mechanism will evaluate the relevance of the individual lines read in the input text by the number of extracted entities and their associations. Lines having greater relevance will be sequenced for the generation of queries and Extraction of information; thus, efficient and meaningful information Extraction is realized. This system will effectively incorporate the query formulation and Extraction components for accurate and relevant data Extraction in healthcare and sports applications. Experimental results show that the unified approach produces a simplified architecture, reducing resource consumption while improving scalability for flexible and efficient use in multi-domain applications of natural language processing.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cross-domain information extraction, transfer learning, BERT, named entity recognition, multi-domain NLP, information Extraction, Relationship Extraction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Rabies remains a significant public health concern in India, with thousands of cases reported annually. The National Rabies Control Program (NRCP) is a government initiative aimed at reducing the incidence of rabies through vaccination, awareness, and surveillance. This study analyzes trends in dog bites, categorization of bite severity, and vaccination efforts in Jalandhar district, Punjab, over 2023-2024. The data suggests a rising trend in dog bite cases, particularly severe (Category II and III) bites, necessitating intensified vaccination and stray dog control measures. The study highlights the importance of public awareness campaigns and expanded intradermal (ID) vaccination programs to optimize resources and enhance rabies control strategies.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Rabies, National Rabies Control Program, Dog Bites, Vaccination, Public Health, Jalandhar, Post-Exposure Prophylaxis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Gabriel Garcia Marquez works has been most famous for its magic realism and besides that in Marquez's novels human psyche is perfectly mirrored and it can be rightly used as a means of study in the literary world of psychoanalysis. The contrasting psychology of men and women, love relationship, psychological trauma and superstition affects the psyche of the people and illusion the real world unconsciously. The "collective unconscious" of the society is one that carries the plot of the novel and this blending with magic realism serves as the hallmark of the story. Human unconscious drive has its important aspect that forms a significant part of literature. Crime and suicide as some of the sources for mental turmoil which eventually effects human psychology. Marquez's styles of writing are developed as a consequence of social and cultural practices of its contemporary time. In this paper, an effort has been made to analyze the novella, Chronicle of a Death Foretold, in the field relevant to the topic of research and it has been proved that Marquez's novels to some certain degree fits into the study of psychoanalysis besides it's subtle use of magic realism and humor.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

id, ego, superego, collective unconscious, illusion, psychological trauma, repressed wishes.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Industrial Internet of Things (IIoT) represents a transformative evolution in industrial operations, integrating advanced communication technologies, data analytics, and automation to enhance efficiency, productivity, and decision-making. However, the increasing connectivity and reliance on IIoT systems also expose them to significant cybersecurity threats. This paper explores the architecture of IIoT systems with a focus on enabling seamless communication and robust network attack detection mechanisms. We discuss the challenges associated with IIoT communication, including latency, reliability, and scalability, and propose solutions to mitigate these issues. Furthermore, we delve into the various types of network attacks that IIoT systems are vulnerable to, such as Distributed Denial of Service (DDoS), Man-in-the-Middle (MitM), and ransomware attacks.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IIoT, Network, DDos, Time, Realibility

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Accurate energy demand forecasting is crucial for optimizing power distribution, reducing energy waste, and improving resource efficiency. Traditional forecasting methods often suffer from limitations in accuracy and scalability. Using a variety of algorithms, such as Support Vector Machine (SVM), Artificial Neural Networks (ANN), k-Nearest Neighbours (kNN), and XGBoost, this study suggests a machine learning-based method to forecast energy consumption. Real-world data from commercial buildings in Malaysia is utilized, considering the influence of environmental factors such as temperature. The dataset is pre-processed to deal with missing values and outliers in order to guarantee dependable model training. The predictive performance of different models is evaluated using metrics such as RMSE, NRMSE, MAE, and MAPE. The results indicate that machine learning models provide significant improvements in forecast accuracy, with ANN and KNN outperforming traditional approaches. This study contributes to energy management by offering an interpretable and scalable solution for demand prediction in smart grids.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Energy Demand Forecasting, Machine Learning, Artificial Neural Networks, k-Nearest Neighbors, Support Vector Machine, Predictive Modeling, RMSE.

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Creative Commons Attribution 4.0 and The Open Definition