Volume 13 | Issue 5 |

 Abstract

The current research was carriedout to study the emotional maturity of prospective secondary school teachers with respect to gender and family environment. Utilizing the descriptive survey method, data was collected from a representative sample of 1200 prospective secondary school teachers, pursuing Bachelor of Education (B.Ed.) in different teachers training colleges of Mandi, Kangra, Hamirpur and Bilaspur districts of Himachal Pradesh. The emotional maturity scale and family environment scale were used for collection of data. The techniques of descriptive statistics, T-test and Analysis of Variance (Two Way) were used to analyze the data. The results revealed that male and female prospective secondary school teachers did not differ significantly in terms of their emotional maturity and prospective secondary school teachers having healthy, moderate and unhealthy level of family environment differed significantly from each other in terms of their emotional maturity. Further more gender and family environment (in combination with each other) did not have significant difference on emotional maturity of prospective secondary school teachers. The implications of the study were suggested the necessity for family-oriented support and emotional competency training in teacher preparation. Implications for schools, policy makers, and teacher educators are clear in terms of promoting emotionally intelligent pre-service teachers.

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 Keywords

Emotional Maturity, Family Environment, Prospective Secondary School Teachers.

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This project presents the development of a brain-controlled wheelchair system utilizing Arduino microcontrollers, EMG sensors, and additional physiological sensors. The wheelchair system is designed to provide mobility assistance to users with limited physical capabilities. The core functionality of the system revolves around interpreting signals from EMG sensors attached to the user's eyebrow muscles to detect intentional movements. Additionally, the system integrates sensors for monitoring heart rate, blood oxygen saturation (SpO2), and body temperature to ensure the user's well-being during operation. Through a combination of signal processing algorithms, sensor integration, and user interface design, the wheelchair system aims to offer a reliable and intuitive mobility solution for individuals with motor impairments.

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 Keywords

o Smart Wheelchair o EMG Sensors o Brain-Computer Interface (BCI) o Microcontroller o Assistive Technology o Human-Machine Interface (HMI) o Neural Control o Mobility Aid o Signal Processing o Arduino / ESP32 (or your specific microcontroller) o Electroencephalography (EEG) (if applicable) o Biomedical Engineering o Disabled Mobility Solutions o Wearable Sensors o Embedded Systems

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This paper presents a low-cost Vehicle Safety System with Automated Number Plate Detection aimed at reducing rear- end collisions. The system uses two Arduino Uno boards, each installed in a vehicle, and Zigbee modules for real-time communication. When vehicles come too close, warning messages are displayed on LCD screens in both vehicles. An additional feature includes a webcam for automatic number plate detection using OCR, enabling vehicle identification during unsafe events. The prototype enhances driver awareness and supports post- incident analysis, offering a scalable solution for intelligent transportation systems.

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Keywords-- Vehicle safety, Arduino Uno, Zigbee communication, LCD display, number plate detection, OCR.

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The green technology revolution is a pivotal movement addressing the escalating environmental challenges posed by industrialization and climate change. This review paper discusses the evolution and impact of green technologies and their role in promoting sustainability. By exploring various sectors--such as renewable energy, sustainable agriculture, green buildings, and waste management--this paper presents a critical analysis of technological innovations and their alignment with environmental goals. The challenges and policy implications of integrating green tech with sustainability frameworks are also explored. In addition, the paper highlights disparities in global adoption, the importance of inclusive green policies, and the economic trade-offs involved in transitioning to sustainable systems. The analysis section presents current trends and future directions for innovation and governance. Key limitations, such as cost, policy inconsistency, and social acceptance, are critically examined. A dedicated section outlines the future scope of green technologies and their potential to revolutionize sustainability efforts. Overall, this paper offers a comprehensive view of how technological advancement and sustainability are intricately connected in shaping a greener future.

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 Keywords

(SDGs)Sustainable Development Goals, (CCS) Carbon Capture and Storage, (PLA) Polylactic Acid,(IEA) International Energy Agency,(UNEP)United Nations Environment Programme, (REN21) Renewable Energy Policy Network for the 21st Century, (WorldGBC) World Green Building Council, (ESG) Environmental, Social, and Governance.

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This paper explores the historical evolution of sustainable development and its intersection with Environmental Impact Assessment (EIA) in India. Tracing the trajectory from colonial exploitation of natural resources to the emergence of formal environmental regulations, it highlights how India's environmental governance has matured in response to socio-political, economic, and global influences. The colonial era prioritized resource extraction, disregarding ecological balance and traditional environmental knowledge. Post-independence, India witnessed a gradual shift towards environmental consciousness, catalyzed by landmark events such as the Stockholm Conference (1972), the Chipko Movement, and the Bhopal Gas Tragedy. The formalization of EIA through the 1994 Notification marked a pivotal step, later strengthened by the 2006 revision that emphasized public consultation and post-clearance monitoring. The study underscores persistent challenges, including weak enforcement, inadequate public participation, and environmental degradation due to rapid industrialization. It also discusses the integration of climate change considerations and technological tools like AI and remote sensing to enhance EIA efficacy. The paper argues for a holistic approach that combines environmental sustainability with social inclusivity, advocating for stronger institutional mechanisms and community engagement to realize the goals of sustainable development in India.

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Sustainable Development, Environmental Impact Assessment (EIA), Environmental Governance, Environmental Law in India, Climate Change, Technological Integration in EIA

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Abstract The physical aspect of the development denotes the development of the individual's physique and its various systems to the optimum, so that the bodily status of the individual is optimally high, so as not to get affected by diseases, injuries and also to carry on the physical rigors of the day to day life without much stress. This is possible only when the individual's body is functionally well developed with regard to all the systems of the body and all these systems perform to the best of their required status, then the individual is said to have very good physical development. So, the physical and physiological efficiency leads to the health of the individuals, which in turn makes the individual to participate more efficiently and more vigorously in physical activities so that the individual's physical and physiological status will grow further. The results proved that the aerobic training group significantly increased the HDL levels when compared to the anaerobic training and yogasanas groups. There was insignificant difference between anaerobic training and yogasanas groups.

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Physical fitness, training, aerobics, anaerobic, yogasanas, high density lipoprotein

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This paper explores the theme of the quest for native roots in Chitra Banerjee Divakaruni's novel Sister of My Heart, focusing on how the protagonists, Anju and Sudha, navigate cultural identity, displacement, and gendered expectations. Through the frameworks of feminist and postcolonial theory, the study examines how memory, myth, family ties, and oral tradition become tools of identity formation and cultural reclamation. The novel portrays the diasporic and domestic experiences of Indian women who, while shaped by patriarchy and tradition, actively reinterpret their heritage to assert agency and selfhood. Drawing on the theoretical insights of Homi K. Bhabha, Gayatri Chakravorty Spivak, and Chandra Talpade Mohanty, the analysis highlights how Anju and Sudha use storytelling and cultural memory to reconstruct a sense of belonging and continuity across borders and generations. The paper argues that Sister of My Heart frames the quest for native roots not as a return to a static past, but as a dynamic, empowering process of negotiation, resistance, and transformation.

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 Keywords

Native roots, Female identity, Cultural displacement, Diasporic experience, Feminist literary criticism

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Creative Commons Attribution 4.0 and The Open Definition

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The widespread of communication platforms has significantly transformed how businesses and individuals interact with their customers, yet it has also introduced complexities in managing these channels efficiently. As companies increasingly rely on platforms like Gmail, WhatsApp, and SMS to engage with a wide range of audiences, the fragmentation of messaging tools often leads to inefficiencies and difficulty in scaling communication workflows. To address these challenges, this paper presents UniCom Hub, an Automated Multi-Platform Messaging System for Enhanced Client Communication. UniCom Hub integrates Gmail, WhatsApp, and SMS into a single cohesive ecosystem, enabling businesses to manage communication across multiple channels from a unified interface. The platform leverages technologies such as React.js for frontend development, Node.js for backend services, and MongoDB for data persistence. Additionally, the system utilizes Nodemailer, Twilio, and Puppeteer to handle message automation and scheduling. By supporting CSV/Excel-based recipient management and offering dynamic message customization, UniCom Hub aims to streamline high-volume, cross-platform communication while enhancing operational efficiency. This paper outlines the system architecture, design considerations, and key features, providing insights into its implementation and potential for further development.

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 Keywords

Cross-Platform Communication, Automation, Scalable Messaging, React.js, Node.js, MongoDB, Nodemailer, Twilio, Puppeteer, UniCom Hub, Dynamic Content, Communication Workflow Optimization.

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In this study, the marketing strategies of two leading players in the online food delivery industry were evaluated : Swiggy and Zomato . These platforms are navigating a competitive and rapidly evolving environment . It is necessary to understand their unique approaches to customer engagement, brand building, and market expansion.The abstract provides a short overview of the research, emphasizing that user experience, loyalty programs, partnerships, and advertising campaigns are the main points of focus. In the online food delivery industry, the marketing strategies employed by Zomato and Swiggy have been successful, which is evidenced by their continued growth. In order to maintain their market leadership and ensure their continued success, these companies will need to generate innovative ideas . In the end, this study contributes to a greater understanding of the techniques these platforms use to capture and maintain a growing customer base in the fast-paced world of online food delivery.

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 Keywords

Marketing Strategies , Swiggy , Zomato, Online food delivery

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Cardiovascular diseases (CVDs) are the leading cause of death globally. Early prediction and detection of heart- related anomalies using electrocardiogram (ECG) signals can significantly improve patient outcomes. This research proposes an ensemble-based machine learning approach for heart disease prediction using ECG data from the PhysioNet database. The system integrates multiple classifiers--Random Forest, XGBoost, and Logistic Regression--through a voting mechanism to en- hance predictive performance. The proposed model achieves an overall accuracy of 94.6%, outperforming individual base learners. Results show that ensemble learning provides a robust and scalable solution for automated heart disease prediction from ECG signals.

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 Keywords

Based on your research paper titled "ECG-Based ECG , Heart Disease Prediction, Ensemble Learning, Machine Learning, XGBoost, Biomedical Signal Processing, Heartbeat Classification

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