Volume 14 | Issue 4 |

 Abstract

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Phonetic Orthography, Artificial-English, Grapheme-Phoneme Correspondence, ESL Pedagogy, Spelling Reform, Orthographic Depth Hypothesis.

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Creative Commons Attribution 4.0 and The Open Definition

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The classic marketplaces are increasingly being digitized in the academic space, and the necessity for e-commerce solutions that bridge with this peculiar university ecosystem has arisen. Campus Kart is fulfilling this need by providing a reliable, scalable, and student-friendly platform for intra-campus transactions that focus on buying, selling, and renting of academic as well as personal items. This campus-centric shopping system operating on a MERN stack platform (MongoDB, Express.js, React.js, Node.js) utilizes movie AI for recommendation and chat- based assistance, while transactional trust is established with the help of secure payment gateways, thus stimulating the circulation of campus economics by reuse and redistribution of items for lessening financial burden and environmental waste. The system also has the reliability and scalability to cater to large student communities owing to this cloud deployment. The paper elaborates on the architectural design, implementation framework, and marketplace positioning of Campus Kart with respect to other contemporary campus-based e-commerce models. Findings indicate that local AI-enabled platforms not only make higher education ecosystems more accessible and affordable but also more sustainable. It thus concludes that Campus Kart is an attempt to blend the model of digital marketplaces into academia for economic inclusion and sustainable campus development.

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Creative Commons Attribution 4.0 and The Open Definition

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Campus marketplace, localized e-commerce, MERN stack, artificial intelligence, student community, cloud computing, secure payment gateway, circular economy

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Obesity is a blessing of the modern age of machines and materialism. It occurs as a result of lack of physical activity with increased intake of food. The industrialization, stress during the work, dietary habits, lack of exercise and various varieties among the daily diet e.g. fast food, frozen fruits, increased amount of soft drinks and beverages, canned foods result into the clinical entity which we can be called as obesity. The procedure of massaging the whole body below the neck in a direction opposite to the orientation of hair with some pressure is called Udvartana. In present case study, a 40 year female patient weighted 90 kg, with triphla churna and kulatta powder along with Navaka guggulu 500 mg and Arogyaardhini vati 500mg twice a day with lukewarm water given for a period of 1 month. A significant reduction in weight and symptoms of obesity was reduced.

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Creative Commons Attribution 4.0 and The Open Definition

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obesity, triphla churna

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Creative Commons Attribution 4.0 and The Open Definition

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The research explores the intricate relationship between caste performativity and the politics of identity as depicted in Yashica Dutt's memoir, Coming Out as Dalit. The study identifies a primary research problem: the invisible yet exhausting labor required by Dalit individuals to "pass" as upper-caste within elite, urban, and globalized spaces. This performance, conceptualized as the "Savarna mask," is analyzed not as a choice for social mobility, but as a defensive response to deep-seated structural violence and the threat of institutional exclusion. This research investigates caste performativity and the politics of identity in Yashica Dutt's Coming Out as Dalit. It addresses a central research problem: the invisible, exhausting labor required by Dalits to "pass" as upper-caste in elite spaces. This performance, or the "Savarna mask," is analyzed as a defensive response to structural violence rather than a choice for mobility. The study argues that "passing" extracts a devastating psychological tax, causing a 'psychological split' and constant hypervigilance. For Dalit women, this results in a 'dual erasure' of both caste history and gendered agency to satisfy the fraudulent requirements of a "post-caste" society. This concealment is framed as "symbolic suicide," where the authentic self is negated to avoid discrimination. Furthermore, the research examines the transition from traumatic concealment to a politics of protest. By "coming out," the subject performs epistemic reclamation, transforming "stinging shame" into a defiant political standpoint. The study concludes that discarding the mask is the only antidote to "social asphyxiation," restoring the "social breath" of the community and establishing communal sovereignty against exclusionary meritocracies.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Caste Performativity, Savarna Mask, Epistemic Reclamation, Structural Violence, Psychological Split, Dalit Identity, Politics of Protest, Social Asphyxiation.

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Creative Commons Attribution 4.0 and The Open Definition

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Financial literacy plays a crucial role in enhancing individual financial well-being and promoting economic stability. This study investigates the impact of income disparity on financial literacy levels. Primary data was collected from 52 respondents, categorized into lower-income (below INR25,000 per month) and higher-income (above INR25,000 per month) groups. Using descriptive statistics and correlation analysis, the study identifies significant differences in financial knowledge and behavior across income levels. Higher-income respondents demonstrate better understanding of key financial concepts such as interest rates, inflation, and risk diversification, along with stronger financial practices including savings, investment, and budgeting. The findings reveal a strong positive correlation (r = 0.68, p < 0.001) between income and financial literacy. The study concludes that income is a key determinant of financial capability and highlights the need for targeted financial education and policy interventions to bridge the literacy gap and promote inclusive financial development.

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Creative Commons Attribution 4.0 and The Open Definition

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Financial Literacy, Income Divide, Savings, Investment and Inclusive Growth

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

भारतीय ज्ञान परंपरा: एक समाजशास्त्रीय, दार्शनिक एवं सांस्कृतिक विश्लेषण

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भारतीय ज्ञान परंपरा: एक समाजशास्त्रीय, दार्शनिक एवं सांस्कृतिक विश्लेषण

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The paper is a critical analysis of the correlation between capital punishment and the basic rights of people in the Indian constitutional and legal framework. The paper builds on the political philosophy and penological theory, especially those of Beccaria, Bentham, and Montesquieu, to question the purpose of the death penalty as a measure of deterring crime or a crime of denying humanity. Using a qualitative analysis of three landmark Indian judicial cases of Jagmohan Singh vs. State of U.P. (1972), Yakub Abdul Razak Memon vs. State of Maharashtra (2015), and Mukesh & Anr. vs. State (NCT of Delhi) & Ors. (2017), the paper provides evidence of inconsistencies in the use of the capital penalty as a system. The latest crime rates in the country according to the National Crime Records Bureau (NCRB) show that the death penalty has not proved to be effective in curbing high-profile crimes like terror attacks and rape. The article supports a life imprisonment being a more humane, constitutionally valid, and rehabilitative approach to capital punishment in India.

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Capital Punishment, Death Penalty, Individual Liberty, Judicial Inconsistency, Indian Judiciary, Fundamental Rights.

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Creative Commons Attribution 4.0 and The Open Definition

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Transesterification, waste cooking oil, purification of glycerine, activated carbon, sustainable chemical engineering, circular economy.

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Creative Commons Attribution 4.0 and The Open Definition

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Classroom and Timetable Scheduling has become an increasing part of the educational environment, as modern educational institutions have found that efficient use of classrooms and automating the timetable improves the overall academic activities and institutional productivity. The increased number of students and the diversity in the structure of courses demand a flexible and accurate timetable generation mechanism in the universities, colleges, and training institutes. This work proposes integrating the optimisation and AI-assisted models to generate timetables based on the institutional constraints. The models use the input datasets such as faculty availability, classroom capacity, program structure, student group distribution, and departmental regulations to successfully generate conflict-free timetables for the academic year. The motivation for this project comes from the challenges faced while manually or semi-automatically scheduling timetables. The issues with manual scheduling occur mainly because of the high complexity of the constraints, dynamic changes that may occur, and the lack of uniformity across different institutions. When it comes to automatic scheduling, the issues remain the same, but in addition to that, the system fails to provide a rationale for the generated schedule. The data inconsistencies and low generalizability of the timetable generation across institutions also pose a challenge. Another issue is the lack of a system that can bridge the gap between timetable generation and actual classroom management. The proposed system incorporates an AI-assisted optimisation with explainability and dynamic constraint handling. The proposed design also proposes a classroom-allocation system based on the utilisation of the resource, academic load balancing, and scheduling frequency.

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Creative Commons Attribution 4.0 and The Open Definition

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Smart Classroom Management, Automated Timetable Scheduling, Optimisation Algorithms, Resource Allocation, AI-Driven Academic Planning

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Intercity travel frequently presents challenges such as high transportation costs, limited direct connectivity, inflexible schedules, and inefficient utilization of private vehicles, where many cars travel long distances with empty seats, resulting in wasted fuel, increased traffic congestion, and higher carbon emissions. To address these issues, RideAlong is proposed as a web-based scheduled carpooling platform that intelligently connects drivers and passengers traveling between cities, enabling a more affordable, efficient, and sustainable mobility solution. Drivers can publish trip details including route, departure time, available seats, and cost per seat, while passengers can search for rides based on location, date, and preferences, and instantly book available seats through a seamless interface. The platform integrates secure OTP verification during registration and booking processes to ensure authenticated users and prevent fraudulent activities, thereby enhancing trust and safety. Additionally, a comprehensive rating and feedback system allows passengers and drivers to review each other after every trip, promoting accountability, transparency, and continuous service improvement. The cost-sharing mechanism helps drivers offset fuel and toll expenses while offering passengers a budget- friendly alternative to traditional travel options. By optimizing seat occupancy, reducing unnecessary vehicle trips, and fostering secure digital interactions, RideAlong not only improves travel convenience and affordability but also contributes to environmental sustainability by lowering emissions and encouraging shared mobility. Overall, the system establishes a collaborative, reliable, and eco- friendly intercity transportation ecosystem that benefits both drivers and passengers.

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Creative Commons Attribution 4.0 and The Open Definition

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Carpooling, Intercity Travel Ride Sharing Cost Optimization Sustainable Transportation Seat Utilization OTP Verification Online Booking System User Authentication Rating and Feedback System

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Creative Commons Attribution 4.0 and The Open Definition