Volume 14 | Issue 4 |

 Abstract

Abstract Social media has transformed news consumption patterns in India. This study analyzes the impact of social media marketing strategies on Lokmat, Maharashtra's leading Marathi news agency. Primary data was collected through a survey of 100 respondents from Nagpur region and secondary data from Social Blade and Lokmat's official handles. The findings indicate that 68% of youth prefer Instagram reels for news updates, and Lokmat's social media engagement increased by 45% from 2022-2026. The study concludes that social media marketing has positively impacted Lokmat's brand reach and reader engagement, though challenges like misinformation and clickbait remain.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keyword: Social media marketing, digital marketing, audience engagement, brand awareness, Lokmat Media Group, online journalism

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Coping mechanisms are essential psychological strategies that help individuals manage stress and adapt to demanding life and work situations.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Coping mechanisms, occupational stress,adaptive coping,maladaptive coping etc

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India's real estate sector, one of the largest contributors to the national GDP and a key driver of urban growth, continues to face persistent challenges including limited pricing transparency, fragmented property information, and inadequate user support. The absence of helpful tools and secure transaction approaches in existing digital platforms results in poor decisionmaking, bad experience and reduced trust among property buyers and sellers. This project presents the design and implementation of RealNest - A Smart Real Estate Platform, developed to simplify property listing, automate inquiry tracking, and improve user experience through an interactive, scalable, and feature-rich web-based platform. The platform provides users with access to property listings, integrated government housing scheme eligibility checking (including schemes under PMAY - Pradhan Mantri Awas Yojana), and an AI-powered chatbot for instant support. A machine learning-based price prediction features is incorporated to analyse market trends and estimate accurate property values, enabling data-driven decision-making. Advanced search filters and security first approaches further enhance usability and reliability. The system is implemented using a LAMP stack (Linux, Apache, MySQL, PHP) architecture, including with Python-based AI and machine learning libraries, Bootstrap-based responsive UI components, and JavaScript-based responsiveness. Security mechanisms include HTTPS-encrypted communication, bcrypt-based password hashing, prepared statements against SQL injection, and input sanitization to mitigate cross-site scripting (XSS) vulnerabilities. Payment processing is handled via Razorpay - one of India's leading payment gateways, supporting UPI, net banking, and card payments, which follows RBI digital payment guidelines and PCI-DSS standards. The platform is deployed on Amazon Web Services (AWS EC2) and has scalable and cloud platform-independent design to make sure it can be used and supported by other cloud platforms. Project Testing ensured robust security, data consistency, and high security. The outcome demonstrated that the web-based property management systems built on open-source technologies can effectively reduce manual overhead, enhance client-agent communication, and serve as a digital foundation for modern Indian real estate businesses operating under the RERA (Real Estate Regulatory Authority) framework.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Real Estate Platform, Smart Property Management, Machine Learning, Price Prediction, Artificial Intelligence, AI Chatbot, LAMP Stack, Web Application, PMAY, RERA Compliance, Razorpay, AWS Cloud, MySQL Database, Web Security

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper seeks to establish that Nirupama Borgohain has made a significant exploration of the colonial Assamese woman as transmitter of culture and bearer of change thus offering an alternative perspective that challenges the traditional views of women's role and agency. Chandraprova is seen since her childhood as one who always stood for the rights of a person. She would always raise her voice for equal opportunities for women and at a very young age she started a school for girls in her village. Her journey to selfhood begins from her childhood when she was old enough to understand the discrimination against women in the society. In order to situate the Assamese women in the backdrop of social ills against women, the task remains with the postcolonial writer to rehistoricise the texts and re-present the colonial woman in the context of today. Therefore, this paper would explore this very rebel woman who questions the very essence of being a woman as immortalized by Nirupama Borgohain in the novel Abhiyatri. It makes a significant study to probe into the acceptance of a rebellious woman in the society who trespassed all the societal norms to instigate women to realize their self-consciousness.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Colonial woman, Assamese women, postcolonial, rehistoricise, agency, resistance

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Efficient patient discharge processes are essential for improving hospital throughput, optimizing bed utilization, reducing patient dissatisfaction, and enhancing operational efficiency. However, discharge delays remain a persistent challenge in many hospitals due to administrative, clinical, and coordination-related bottlenecks. This study aimed to evaluate the discharge process in a tertiary care multispecialty hospital in India using a time-motion observational approach. A total of 35 planned inpatient discharges were studied over a two-month period. Time was tracked across multiple discharge stages including nursing clearance, laboratory clearance, radiology clearance, pharmacy processing, billing, insurance approval, and final patient exit. Results revealed that 62.85% of discharges required more than six hours for completion. Nursing clearance showed the highest average internal delay, while billing and insurance approvals were major contributors to prolonged discharge turnaround time. Laboratory clearance demonstrated high variability due to occasional outlier delays. The study identified poor interdepartmental communication, delayed documentation, insurance dependencies, and inadequate advance discharge planning as key root causes. Recommendations include implementation of digital discharge dashboards, pre-discharge planning protocols, dedicated discharge coordinators, and automated alerts. Improving discharge efficiency can significantly enhance patient satisfaction, bed turnover, and hospital productivity.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: discharge delay, hospital operations, patient flow, billing delay, insurance approval, healthcare management, time-motion study

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

U-clamps are widely used mechanical components for supporting and securing pipes, tubes, and cylindrical structures in various engineering applications. Despite their simple geometry, they are subjected to complex loading conditions that may lead to stress concentration, deformation, and possible failure. Therefore, a detailed structural investigation is necessary to ensure safe and efficient performance. In this study, a U-clamp is analysed using the Finite Element Method to evaluate its structural behaviour under different loading conditions. The analysis includes static structural analysis to determine stress distribution and deformation, along with modal analysis to study the vibration characteristics of the component. Two different cases are considered by varying geometric parameters such as diameter and mass to observe their effect on structural response. The results indicate that maximum stress occurs at the curved region of the U-clamp due to bending effects, while deformation increases with higher applied loads and lower stiffness. In modal analysis, the natural frequency is found to be dependent on the ratio of stiffness to mass, where an increase in stiffness raises the natural frequency, and an increase in mass reduces it. The mode shapes represent relative vibration patterns rather than actual displacement under loading. Overall, the study provides a clear understanding of the mechanical behaviour of U-clamps and highlights the importance of proper design selection. The findings can be used to improve structural strength, reduce failure risk, and optimize the design for better performance in real-world applications.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

FEA, U- CLAMP, OPTISTRUCT, Modal Analysis,static analysis.

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Creative Commons Attribution 4.0 and The Open Definition

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The present study is an attempt to know the extent of political consciousness of scheduled caste women of Almora district of Kumaun region of Uttarakhand State. Stratified random sampling was applied in order to select the gram panchayat. Out of eleven blocks in Almora district Hawalbagh block was selected for the study and a sample of 75 women were selected for the study. The political consciousness of the respondents has been assessed by asking them simple questions pertaining to their awareness about various political functionaries and political events at different levels (national and local). This study shows that the political awareness of the scheduled caste women is still in the darkness of traditional culture. They do turn up of in large numbers for voting but lag behind in other activities of political participation.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Scheduled Caste, Political Consciousness

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Creative Commons Attribution 4.0 and The Open Definition

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This paper examines the themes of both patriarchy and female awakening in the three-act play A Doll's House written by Norwegian playwright Henrik Ibsen. This focuses on how patriarchal system try to restrict women's freedom, identity, and individuality, at the same time it gives attention to exploring the way, a woman becomes aware of her own value and importance. This play gives the idea of how marital relationships shaped by social expectations and gender inequality. This critical study attempts to analyze the transformation of the protagonist of the play, Nora Helmer, from a weak and dependent wife into an independent and self-respecting individual. It primarily reviews existing critical interpretations of the play and examines how it is situated within the broader framework of feminist literary theory. The study also highlights the symbolic representation of society and the illusion of happiness that is sustained within patriarchal institutions such as marriage, family, and society. This paper further explores how brilliantly Henrik Ibsen challenges stereotypical gender roles and powerfully critiques the social beliefs of the nineteenth century. Nora's journey not only reflects women's awakening but also opens the door to feminist consciousness that questions the established structures of patriarchal society. The play occupies a timeless position in contemporary discussions of gender equality, identity, and freedom. It makes a significant contribution to the understanding of women's awakening and can be considered an important work in world literature that promotes social change and challenges traditional thought.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Patriarchy, Female Awakening, Gender Inequality, Marriage, Identity, Freedom, Self-Realization.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Workplace stress is a critical challenge in modern smart environments, affecting employee health, productivity, and organizational performance. Traditional detection methods -- primarily self-reported questionnaires -- are infrequent, subjective, and unable to capture real-time stress variations. This paper presents the design, implementation, and evaluation of a Human-Centric Stress Prediction Framework for Smart Workspaces that integrates Internet-of-Things (IoT) sensors, wearable biosensors, and Machine Learning (ML) techniques to provide continuous, non-intrusive, and personalized stress monitoring. The system collects multimodal physiological signals (Heart Rate, Heart Rate Variability, Galvanic Skin Response, skin temperature), environmental parameters (noise, ambient temperature), and behavioral indicators (typing speed, mouse movement). A hybrid ML model combining a Random Forest classifier (87.3% accuracy) with a personalized LSTM fine-tuning layer (91.6% user-specific accuracy) classifies stress into Low, Moderate, and High levels. Real-time wellness recommendations, a web dashboard, and a mobile application compose the user-facing layer. Comprehensive testing across 146 test cases achieved a 95.9% pass rate, and User Acceptance Testing yielded a System Usability Scale (SUS) score of 82.4, indicating excellent usability. The framework represents a scalable, privacy-preserving foundation for intelligent, human-aware workplace well-being systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Stress Prediction, IoT, Wearable Sensors, Machine Learning, Random Forest, LSTM, Smart Workspace, HRV, Real-Time Monitoring, Federated Learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Workplace stress is a significant organizational concern affecting employee productivity, well-being, and motivation. This study examined the relationship between workplace stress and employee motivation among 120 employees from IT, education, healthcare, and business services. Statistical analysis showed a significant negative correlation between workplace stress and employee motivation (r = -0.61, p < 0.01). Regression analysis revealed that workplace stress significantly predicts employee motivation, explaining 37% of the variance. Findings indicate that high stress reduces motivation, engagement, and enthusiasm.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Employee stress. Motivation.

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Creative Commons Attribution 4.0 and The Open Definition