Volume 14 | Issue 5 |

 Abstract

Urban Heat Island (UHI) is a critical environmental phenomenon characterized by elevated temperatures in urban areas compared to surrounding rural regions. While previous research has predominantly focused on building density and land use, the role of road infrastructure as a major contributor to urban heat dynamics remains underexplored. This study investigates the impact of road infrastructure on UHI intensity within the municipal boundaries of Sambhajinagar, a rapidly urbanizing tier-2 city in India. The research adopts a spatio-temporal analytical approach, integrating road network characteristics, surface temperature variations, and urban morphology. It examines how road density, material properties, traffic intensity, and vegetation cover influence localized heat accumulation. The findings indicate that asphalt-based road networks significantly contribute to heat storage and delayed heat release, intensifying nighttime temperatures. High-density road zones exhibit greater surface temperatures and stronger UHI effects compared to peripheral areas with lower infrastructure intensity. The study also highlights the role of urban canyon geometry and reduced vegetation in exacerbating heat retention along major corridors. The paper concludes that road infrastructure must be integrated into urban climate planning frameworks to mitigate UHI effects effectively.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Urban Heat Island, road infrastructure, surface temperature, spatio-temporal analysis, Sambhajinagar, urban morphology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The healthcare is one of the important research field in the current situation with the rapid improvement of technology and data. The primary concern of this research work is the usage of machine learning techniques for predicting heart diseases using clinical and symptom-related information. Considering the fast-growing volume of medical records, it becomes difficult to rely on conventional approaches to the analysis of data. Machine learning is used to examine huge amounts of data quickly and detect patterns linked to diseases. To build predictive models, the present study employs the dataset related to Cleveland Heart Disease, provided by the UCI Machine Learning Repository available at Kaggle. Several approaches to classifying information and developing predictive models will be examined, such as the Support Vector Machine, Decision Tree, and Random Forest. In particular, the Support Vector Machine (SVM) technique is important to discuss because it is highly effective in solving classification problems by defining an optimal hyperplane to differentiate points in multidimensional space. This System will be implemented using SVM Algorithm. It is classification based machine learning algorithm.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

support vector machine, heart disease, machine learning, supervised, unsupervised.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Application Programming Interfaces (APIs) are important components of modern software systems that enable communication between different applications. APIs use parameters in requests to retrieve customized data and perform specific operations. However, changes in request parameters can significantly affect response accuracy and system performance. This research investigates the impact of API parameter variation using different test cases such as valid parameters, missing parameters, invalid parameters, unnecessary extra parameters, and large input values. Experimental testing was performed on REST APIs using standard API testing tools. Metrics such as response time, error rate, status code, and output correctness were analyzed. The results indicate that valid parameters provide the highest efficiency and most accurate responses, while incorrect or excessive parameters increase processing time and error frequency. This study highlights the importance of parameter validation and optimized request design for reliable API development.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

- API, REST API, Parameters, Performance Testing, Response Accuracy, HTTP Requests, Web Services

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid growth of mobile health applications has increased the need for intelligent and personalized wellness systems. This paper presents Fitness Agent, an AI-powered fitness tracker that provides personalized health guidance through daily check-ins. The system evaluates seven wellness categories using a weighted scoring algorithm to generate a daily fitness score and detect health trends. A conversational AI assistant offers context-aware recommendations based on user history and goals. The application is developed using a cross-platform mobile framework and deployed on a serverless cloud architecture, enabling low-cost operation and fast response times. Testing across multiple devices confirmed consistent scoring accuracy and reliable AI performance. The system demonstrates that scalable, low-cost, and personalized health monitoring can be achieved using modern AI technologies.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

fitness tracking, artificial intelligence, mobile health, wellness scoring, trend analysis, serverless architecture, natural language processing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Young Indian consumers have joined a new digital trend that combines their social media usage with their desire to purchase expensive products. The study investigates Instagram's de-influencing trend, which causes content creators to stop people from buying popular but worthless and substandard products. The Gen Z and Millennial demographic group shows advanced influencer fatigue because of influencer marketing, which now reaches its highest saturation point through excessive product endorsements and a lack of marketing transparency. The research study uses qualitative analysis to study messaging patterns and six case studies, which demonstrate how major de-influencers create a new source credibility model. The study shows that current users value perceived authenticity and informational social influence more than traditional celebrity charm. The study examines these trends, affecting 28% of Indian Gen Z through their financial insecurity and increasing dedication to sustainability. The research shows that de-influencing content, which includes genuine product reviews and affordable product recommendations, functions as an educational tool that fights against aspirational spending and excessive consumerism, which traditional marketing drives. The movement promotes conscious consumption, which leads young Indians to choose products based on their practicality and environmental impact instead of social media advertising. The paper shows that de-influencing has evolved into a permanent shift, which has transformed how consumers behave in digital spaces while showing that social commerce enters an age of rationality and consumer empowerment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

De-influencing, Indian Gen Z, Influencer Fatigue, Mindful Consumption

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In Vedic cosmology, time unfolds through vast and repeating cycles rather than linear progression. For example, yugas within kalpas that cycle perpetually from creation (srishti) through preservation, decay and finally dissolution (pralaya). This paper analyses Back to the Future (1985) as a secular and popular embodiment of this Kala Chakra. Marty McFly's DeLorean navigates through timeline ripples that reflect cosmic flux. Parental alterations trigger existential fading like Kali Yuga entropy. These crises are resolved through lightning-struck resets, similar to divine renewal. The film's mechanics, such as flux capacitor activations, photo erasures, and perfected returns, emerge as playful visualisations of eternal recurrence, contrasting Western linear causality. By bridging ancient metaphysics and 1980s science fiction, it democratises cyclical time, which in turn offers moksha-like timeline harmony without explicit spirituality. This reading uncovers an unrecognised Vedic resonance in the mainstream cinema.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Vedic cosmology, cyclical time, kala chakra, Back to the Future, yuga cycles.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Stock market prediction, ensemble learning, Random Forest, Gradient Boosting, technical indicators, feature engineering, NIFTY 50, SENSEX, Flask REST API, financial forecasting, RSI, MACD, machine learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Rudy Wiebe is a forerunner of restoring the 'Ignored History' and a devoted writer who turned his attention to the indigenous history of Western Canada at the crucial period when the Dominion Government ruled over Canada. Western Canada was in the position of opening the great West to European settlers and contrastingly encompassing the aboriginal people on reserves. Wiebe in his novel -The Temptations of Big Bear (1973) depict the period of social, cultural, political, and racial upheaval. The fiction writing of Wiebe remains a complex act of reading, as it is mainly based on afresh and innovative style. His works almost employ narrative practices, multiple voices, and through shifts in perspective and time. The status of natives and whites re-imposed in Canadian society has been exposed by Wiebe. Mennonite themes are not the only concern of Rudy Wiebe in his fiction. The concern of original inhabitants, the native Indians, and other politically marginalized minorities, like the Metis, form part of commitment to humanity. Wiebe gives voice to the repressed agony lying deep inside history. He carefully unearths these voices and listens patiently. Wiebe's novel The Temptations of Big deal with the past of native Indians and Metis respectively. Early Canadian literature was dominantly white; the natives were portrayed as savage and primitive as opposed to civilized white culture. As Monkman says: "The Natives were treated as the embodiment of ideals and principles defeated or disregarded by the white man..." (102).

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Postcolonialism, Hegemony, Hybridity, Primitive, Marginalization etc

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Management of all the content in the courses, student progress, attendance in an efficient way is still a big challenge in the universities and organizations which results in unorganized data and less transparency into student's performance. The already present methods in the market are time consuming and take lots of hard work for the educators to maintain a proper track of learning path and provide proper guidance to the students. To overcome these limitations, the proposed "Learning Path Dashboard" is developed to provide a web based solution that combines automated learning path creation along with attendance management and resources. The platform under the supervision of the teacher automatically generates a learning path according to the course duration and along with that the educators can also upload the resources such as videos, images, pdf's with each topic. It also has attendance tracking which has a record of daily participation and also links it with the topics covered that day to highlight the learning gaps. The system is built using a React-based frontend and with Material UI features whereas the backend is handled using spring boot to ensure smooth performance and scalability. Some important features include dynamic topic planning, centralized resource handling, attendance monitoring and performance tracking through an interactive dashboard. With this approach, the system supports better and easier academic management, rescues the load of manual efforts, and helps improve the student learning.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Learning Path Dashboard, Educational Technology, Learning Path Generation, Student Performance, Tracking, Attendance Management System, Resource Integration, Web-Based Application, React.js, Material UI, Spring Boot, Data-Driven Education, Academic Analytics, E-Learning Systems.

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Creative Commons Attribution 4.0 and The Open Definition