Daily Archives: October 13, 2025

Authors: Rajesh Kumar Mishra, Rekha Agarwal

Abstract: Forested wetlands are among the most biodiverse and ecologically significant ecosystems on Earth, providing essential services such as carbon sequestration, water filtration, flood regulation, and habitat conservation. However, these ecosystems have faced widespread degradation due to deforestation, urban expansion, agricultural drainage, and climate change-induced hydrological alterations. The restoration of forested wetlands has become a global priority, requiring an interdisciplinary approach that integrates ecological principles, hydrological engineering, policy implementation, and community engagement. This chapter explores the methodologies, challenges, and future perspectives in the restoration of forested wetlands. Hydrological restoration, including rewetting drained wetlands, reestablishing floodplain connectivity, and removing artificial barriers, plays a fundamental role in restoring wetland functionality. Additionally, native vegetation reintroduction, soil rehabilitation, and biodiversity conservation are key ecological strategies to accelerate natural regeneration. Advanced technologies such as remote sensing, machine learning, and environmental DNA (eDNA) analysis have significantly improved the accuracy of wetland assessment and monitoring, ensuring more effective and adaptive restoration strategies. Despite scientific advancements, several challenges persist, including conflicting land-use priorities, policy gaps, insufficient funding, and the long-term ecological uncertainties of restoration projects. The success of wetland restoration depends on integrated governance, strong environmental legislation, and the active involvement of local and Indigenous communities in conservation efforts. Furthermore, emerging mechanisms such as blue carbon markets and nature-based climate solutions offer financial incentives for large-scale wetland restoration, promoting economic and environmental sustainability. Looking ahead, the future of forested wetland restoration lies in the synergistic application of climate-adaptive strategies, data-driven restoration models, and transboundary conservation policies. A comprehensive and collaborative approach is essential to mitigate the impacts of climate change, reverse wetland degradation, and enhance ecological resilience. By prioritizing science-based restoration methodologies and sustainable policy frameworks, we can ensure that forested wetlands continue to provide their critical ecosystem functions for future generations.

Published by: vikaspatanker

Authors: Mr. Om Nandkishor Thakare, Prof S. V. Raut, Dr. A. P. Jadhao

Abstract: This research presents the design and development of a Neural-Driven Immersive Environment that combines Brain–Computer Interface (BCI) technology with Augmented Reality (AR) and Virtual Reality (VR) systems. The study aims to create a more natural and interactive way for users to communicate with digital environments using brain signals instead of traditional input devices. The paper explains each stage of development, including signal collection, processing, system design, environment integration, and testing. The proposed model allows real-time interaction, adaptive responses, and personalized experiences by interpreting neural activity. This integration of BCI with AR and VR enhances immersion, reduces physical effort, and opens new possibilities in fields like education, healthcare, and virtual training.

Published by: vikaspatanker

Authors: Mr. J. Dhileepan, Dr. S. Maruthavijayan

Abstract: Occupational stress is increasingly recognized as one of the most pressing challenges faced by employees in the Information Technology (IT) sector. The nature of IT work— characterized by long working hours, strict deadlines, high performance expectations, and the constant demand to acquire new technical skills—places employees under persistent psychological and physical strain. Stress of this kind not only hampers individual wellbeing but also adversely affects organizational outcomes such as productivity, employee morale, and staff retention. The present study therefore aims to measure the levels of occupational stress among IT professionals and to examine the key factors contributing to it, including workload, organizational support, break schedules, and work–life balance. A structured questionnaire was distributed to a sample of 200 IT employees, and the responses were analyzed using both descriptive and inferential techniques to establish patterns and correlations. The findings reveal that high workload, inadequate managerial or organizational support, and limited opportunities for rest or relaxation breaks are strongly correlated with elevated stress levels. Younger employees and those with fewer years of experience were found to be more vulnerable to stress, largely due to adjustment challenges and skill-upgrade pressures. The study suggests that organizations should adopt proactive measures such as structured stress-management programs, balanced workload distribution, and fostering supportive work environments to safeguard employee well-being and ensure long-term organizational sustainability.

Published by: vikaspatanker

Authors: Mrs. A. Mohanadevi, M. Kabilan, M. Subramaniyan, K.G Sarveshwaran

Abstract: This paper introduces the Teach Mate AI Agent, an intelligent assistant designed to revolutionize the educational workflow by automating time-intensive administrative tasks for educators. The system provides a unified, AI-powered platform that integrates eight comprehensive modules to handle syllabus creation, lesson planning, assessment generation, and resource curation. By leveraging Google's advanced Gemini 1.5 model and a Retrieval-Augmented Generation (RAG) architecture, the agent edagogically sound content while ensuring factual accuracy through user-provided documents. The primary objective is to reduce the administrative burden on educators by up to 90%, thereby enabling them to dedicate more time to student engagement and mentorship. The technology stack includes Python with Streamlit for the front-end, and ChromaDB as the vector database for the RAG system.

DOI: https://doi.org/10.5281/zenodo.17337482

 

Published by: vikaspatanker