Category Archives: Uncategorized

Authors: Ese Lawrence Ekanem, Ogbede Oritsematosan Marian, Okorocha Cyrilgentle Ugochukwu, Odejobi Babajide Michael, Oluwadamisi Tayo-Ladega , Erienu Obruche Kennedy

Abstract: The research examined how health issues affect the eating habits of older adults in both rural and urban households, focusing on Badagry L.G.A in Lagos State. Four research questions were formulated to guide the study, along with one hypothesis that was tested at a significance level of 0.05. A correlational ex-post facto research design was employed for this investigation. According to the 2006 census, Badagry L.G.A had a population of 241,093. The study used a descriptive survey design with 100 participants. A stratified random sampling method, including simple random sampling, was applied to select the sample for this research. Data was gathered through a questionnaire titled "Influence of Health Challenges on Nutritional Lifestyle of the Elderly in Rural and Urban Households of Badagry L.G.A, Lagos State (IHCNLERUH)." The validity of the instruments was assessed for face, content, and construct. The reliability of the instruments was also checked, yielding an internal consistency reliability coefficient of 0.96. The collected data were analyzed using basic correlation and regression at a significance level of 0.05. Frequency, percentage, mean, and standard deviation were utilized to address the research questions, while Pearson coefficient correlation was employed to test the hypothesis. The findings indicated that the eating habits of older adults significantly influence their healthy lifestyle. Health challenges have a notable impact on the nutritional lifestyle of the elderly in both rural and urban settings. High alcohol consumption adversely affects the nutritional status of older individuals. Various factors hinder the nutritional lifestyle and health behaviors of the elderly in these areas. The study suggested that the government and other stakeholders should regularly monitor the health of older adults to identify those at risk, enabling timely interventions, and establish a social security system to support the income and welfare of the elderly people in the study area

DOI: http://doi.org/10.5281/zenodo.17366239

Published by: vikaspatanker

Authors: Kailash Kumar Mahto

Abstract: Recent advancements in power electronics have provided a strong platform for the development of various multilevel inverter (MLI) topologies. These MLI configurations offer several notable advantages, such as high-quality staircase sinusoidal output voltage, a reduced number of power switches, and the elimination of external filters. In this paper, a symmetrical sourced base multilevel inverter topology to generate 11-level of output is proposed to minimize the number of inverter components while achieving an enhanced voltage-step generation. The proposed structure is capable of producing a high-step, staircase-type of 11-level voltage output waveform that closely approximates a sinusoidal voltage without increasing the number of power semiconductor switches. A Carrier-Based Sinusoidal Pulse Width Modulation (CB-PWM) technique is implemented at a switching frequency of 3 kHz to control the inverter operation. The simulation is carried out using MATLAB/Simulink R2019b environment. The working principle of the proposed multilevel inverter (MLI) is explained in detail. This research focuses on the design of a novel single-phase multilevel inverter with a reduced component count. The proposed MLI configuration is structured to generate the maximum possible number of voltage levels in the output AC waveform while utilizing fewer power electronic devices. Furthermore, the output characteristics of the proposed inverter are analyzed for modulation index 1 for an RL load to examine its dynamic behavior and voltage-step generation capability.

DOI: https://doi.org/10.5281/zenodo.18846772

Published by: vikaspatanker

Authors: Samruddhi Ande, Professor S. V. Raut

Abstract: Millions of individuals worldwide suffer with diabetes, a dangerous medical condition. Serious problems can be avoided with early diabetes prediction. In this study, we predict diabetes in individuals based on a variety of health factors using machine learning approaches. Age, blood pressure, glucose level, BMI, and other medical characteristics are among the data in the dataset. To increase prediction accuracy, data preprocessing techniques such as normalization and handling missing values were used. A number of machine learning models were tested, such as Support Vector Machine, Random Forest, and Decision Tree. The accuracy, precision, recall, and F1-score of these models were used to compare their performances. The Random Forest model demonstrated its suitability for diabetes prediction by achieving the best accuracy. The findings show that machine learning may reliably support early diagnosis, assisting physicians and patients in making better health-related decisions. The significance of technology in healthcare and the potential for AI-based solutions to enhance patient outcomes are highlighted in this study.

Published by: vikaspatanker

Authors: Mr. Harshkrushna D. Khawale, Prof. S. V. Athawale, Prof. S. V. Raut

Abstract: The Metaverse is a persistent, 3D network of virtual spaces and the culmination of interaction technologies. This systematic review synthesizes its architecture and critically assesses inherent governance deficits. While enabled by XR, AI, and Blockchain, existing architectural models lack dedicated layers for governance and interoperability. Sustained user adoption is contingent on trust and privacy protection. The emerging neurosociological paradigm, utilizing implicit interbrain synchrony, introduces severe ethical risks to cognitive liberty. This demands urgent regulatory focus and the establishment of Neurorights legislation. This paper proposes a socio-technical architectural model and a roadmap for preemptive neuro-adaptive governance.

Published by: vikaspatanker

Authors: Mohammed Swaleh Mohammed

Abstract: This study presents a qualitative thematic analysis of student feedback on the usability of Learning Analytics (LA) feature within an e-learning platform. Drawing from 399 open-ended responses, the analysis identifies key themes reflecting user satisfaction, challenges, and self-assessment practices. The findings reveal that ease of use, flexibility, and efficiency are highly valued, while internet connectivity, system performance, and content limitations pose significant barriers. Additionally, students employ grades tracking, progress monitoring, and feedback utilization to evaluate their academic strengths and weaknesses. The study offers insights into enhancing LA tools to better support learner engagement and outcomes

DOI: http://doi.org/10.5281/zenodo.17356211

Published by: vikaspatanker

Authors: Poornima, Jenitta J

Abstract: Digital Security system for examination materials is a system designed to prevent unauthorized access to exam papers. This system generates a unique password that is valid only for a single use and for a limited period of time. The system is designed to provide secure access to exam papers to only authorized personnel, such as teachers and invigilators. Digital Security system for examination materials consists of two main components: the server and the client. The server generates and manages the OTPs, while the client is responsible for receiving and verifying the OTPs.When a teacher or invigilator needs to access an exam paper, they must first authenticate themselves using their username and password. Once authenticated, the server generates an OTP and sends it to the client device of the teacher or invigilator. The teacher or invigilator can then use the OTP to access the exam paper. The OTP is only valid for a limited period of time, typically a few minutes, and can only be used once. This means that even if the OTP is intercepted by an unauthorized user, they will not be able to use it to access the exam paper as it will have already expired. The system also logs all access attempts, including successful and unsuccessful attempts. This allows administrators to monitor and track any unauthorized access attempts and take appropriate action if necessary. Overall, an OTP based electronic protection system for exam paper leakage is an effective way to prevent unauthorized access to exam papers and maintain the integrity of the examination process. It provides a secure and reliable way to protect exam papers from leakage and ensures that only authorized personnel have access to them.

Published by: vikaspatanker

Authors: Rani Wadhai, S.V. Raut

Abstract: Satellite internet delivers high-speed global connectivity by utilizing satellites that circle the Earth. Unlike conventional networks that depend on physical cables or cell towers, satellite systems allow for direct communication among users, orbiting satellites, and ground stations, making them particularly useful in isolated and rural regions. This paper outlines how satellite internet functions, the various orbital types (GEO, MEO, LEO), and examines Starlink as a significant breakthrough for reducing latency. It further explores its uses in fields such as education, healthcare, defense, and disaster response, while also addressing important challenges like financial barriers, space debris accumulation, and impacts on night skies. Looking ahead, the integration of satellite internet with forthcoming 6G technology is anticipated to offer more dependable and universal connections worldwide.

Published by: vikaspatanker

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