20 Articles
Dr. Neelam Kanwal Jalal
Hill state Uttarakhand is famous for his rivers, Mountains, National Park and rich green forest. Forest resources are back boon of rivers and agricultures, all medical plant and precious trees is finding in whole area. It is a home of animals and several types of creatures. Forest of Uttarakhand for his natural beauty and valley of flowers known in whole world. It is spread in 24,295 sq kilometer. The total geographycil area of forest is 45.43 percent. These forest is divided in hill and plan’s area. All Uttarakhand forest is reach economicaly. It is a resources of river’s small water pond’s base of economy of Uttarakhand. But forest fire is damaged state’s economy biodiversity of forest and destroy water resources. Every year 1750 hectares of forest fire occurs automatically in the season.
Prof. Shivakumar Kanasogi, Shreekrishna N. Bugatyagol
Access to safe drinking water is fundamental to public health, environmental sustainability, and rural development. Despite significant infrastructural expansion under the Government of India’s Jal Jeevan Mission, ensuring safe drinking water at the point of consumption remains a challenge in drought-prone districts. This study critically examines safe drinking water practices among rural households in Koppal District, Karnataka. Using a descriptive–analytical research design, primary data were collected from 260 respondents across four taluks through structured interviews. Statistical tools including cross-tabulation, Chi-square tests, and logistic regression analysis were employed. The findings indicate that while 48% of households have access to tap connections, unsafe storage practices (37.69%), lack of treatment (38.07%), and irregular supply undermine safety. Education and income significantly influence adoption of safe practices (p < 0.05). Logistic regression confirms that higher education increases likelihood of water treatment adoption (OR = 2.41). The study concludes that infrastructural expansion must be complemented by behavioural change communication, community participation, gender inclusion, and sustainability planning to ensure long-term water safety.
Dr. Saravanakumar Thayuman, Levin Tony Raja, Prof. Dr. Raja Susai
Quantum Electrodynamics (QED) currently provides the most accurate description of electromagnetic interactions, yet it treats photon energy quantization exclusively through frequency. Motivated by conceptual limitations in the photon hypothesis, the Einsmax Theory of Light Quanta and Massless Particles introduces a complementary quantization framework in which amplitude plays a primary mathematical role. In this paper, a unified theoretical and mathematical formulation is presented that fully preserves Maxwellian wave propagation, the Planck–Einstein relation, and relativistic momentum conservation. Discrete amplitude quantum levels at fixed frequency are derived and shown to provide deeper explanatory power for interference, black-body radiation, and image formation in darkness. This work establishes amplitude as an active quantum variable, offering a mathematically grounded extension to the foundations of optical physics.
Dr. Ganesha B, Dr. Vijayakumar
This study explores how financial technology (FinTech) influences financial inclusion in banking services, with particular emphasis on emerging economies. An analysis of global panel data from 2012 to 2024 indicates that FinTech does not have a statistically significant effect on financial inclusion in developed economies. However, in developing regions such as India and parts of Africa, it demonstrates a strong positive impact, especially by increasing digital account ownership and the use of mobile-based financial services. A review of existing literature supports these findings, showing that innovations such as mobile payments, peer-to-peer (P2P) lending, and digital wallets improve access to financial services in rural and underserved areas. However, their effectiveness depends on factors like digital infrastructure, user literacy, and trust in technology. Case studies from India and Africa further highlight regional differences. In Africa, FinTech has contributed to greater financial awareness and increased mobile transaction usage, though its overall impact is limited by low levels of financial literacy and restricted internet access. In India, platforms such as UPI, P2P lending systems, and rural banking networks have expanded financial access, but adoption continues to face challenges related to technology gaps and regulatory issues. Despite its advantages, FinTech also presents risks, including algorithmic bias, cybersecurity threats, regulatory limitations, and the possibility of increased household debt. Moreover, while it helps reduce disparities between rural and urban populations and improves wealth distribution to some extent, it has not significantly addressed gender-based financial inclusion without targeted interventions. In conclusion, FinTech holds considerable promise for enhancing financial inclusion in underserved markets. Nevertheless, achieving its full potential requires a comprehensive strategy that includes improving digital and financial literacy, strengthening technological infrastructure, ensuring transparency in automated systems, and developing regulatory frameworks that balance innovation with consumer protection.
Mrs. M. Yamunambigai, P. Vasikaran
Coronavirus disease 2019 (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), emerged in Wuhan, China in December 2019 and was declared a pandemic by the World Health Organization on March 11, 2020. The present study aimed to assess the prevalence of COVID-19 among people at Kalitheerthalkuppam, Puducherry, and to determine its association with selected demographic variables. A quantitative research approach with a descriptive research design was adopted. A total of 30 samples were selected using a convenient sampling technique. Data were collected over a period of two weeks using demographic variables and a rating scale. Descriptive and inferential statistics were used for data analysis. The findings revealed that 50% of participants had a moderate level of prevalence, 26.7% had a high level, and 23.3% had a low level of prevalence. The mean prevalence score was 16.03 with a standard deviation of 5.334. Among demographic variables, occupation and vaccination status showed a statistically significant association with prevalence (p < 0.05). Other variables such as age, sex, education, marital status, family type, comorbidities, and testing history were not significantly associated. The study concludes that moderate prevalence was observed among the majority of participants, highlighting the need for continued public health interventions and large-scale studies.
Mr. Srinivasan S, Rajesh P., Santhosh M., Sudharsan G, Suman T.
This paper presents the design, implementation, and evaluation of an AI-powered system for real-time digital addiction detection and screen-time behavior analysis. The proposed system addresses the growing concern of excessive smartphone usage and its impact on mental health, academic performance, and workplace productivity. Existing solutions lack behavioral intelligence, real-time data extraction, and actionable intervention mechanisms. The platform integrates Android Debug Bridge (ADB)-based app usage extraction, a five-factor weighted machine learning (ML) risk scoring engine with sigmoid normalization, and a large language model (LLM)-powered insight generation module using Groq's LLaMA 3.3 70B to produce severity-rated behavioral recommendations. A Chrome Extension supplements the system by tracking browsing history in real time, enabling domain-level categorization and detection of inappropriate web content. Risk classification is performed across four levels — Minimal, Low, Moderate, and High — based on screen time, social media percentage, unlock frequency, night usage, and app concentration. A multi-channel alert system delivers warnings via ADB push notifications, ntfy real-time popups, and WhatsApp deep links when predefined thresholds are exceeded. The web dashboard renders hourly usage charts, app breakdowns, weekly trends, and a seven-day usage forecast powered by ARIMA time-series modeling. All data is persistently stored in Firebase Firestore with real-time synchronization. Experimental results confirm an average app usage detection accuracy of 97.5%, 100% risk classification accuracy across all four addiction levels, and sub-three-second AI response times. A dedicated ethics and privacy framework governs user consent, data storage, third-party API transmission, and compliance with GDPR and CCPA.
Mr. Anup Arun Govande
Modi Lipi is an old, cursive script used for centuries to write records in the Maratha Empire and neighbouring regions from approximately the 13th to the early 20th century. Today, hundreds of thousands of these documents are stuck in archives because very few people can still read them. To fix this, through this paper researcher created ModiAnuwad, an AI system model that automatically reads these handwritten scripts and translates them into English. The process works in five steps: it cleans up the document images, breaks them into individual characters, identifies them using a powerful neural network, translates the text using a "Transformer" model (similar to the tech behind ChatGPT), and then fixes any grammar mistakes.
Beebi SK, LakshmanaRao G, Suresh P
This work reports on the ultrasonic velocity, density, viscosity, and derived acoustic parameters of binary mixtures of ethylbenzoate with 2-butanol and 2-methyl-2-propanol over a range of compositions at 303.15 K, 308.15 K, 313.15 K, and 318.15 K. The experimental measurements were used to calculate adiabatic compressibility, intermolecular free length, internal pressure, and acoustic impedance to elucidate underlying molecular interactions. For both systems, increasing ethylbenzoate mole fraction produced higher velocity and density, and lower viscosity and compressibility, indicating enhanced structural ordering. The ethylbenzoate + 2-butanol system exhibited stronger cohesive interactions, as revealed by higher ultrasonic velocities, acoustic impedance and internal pressure compared to the ethylbenzoate + 2-methyl-2-propanol system, attributed to reduced steric hindrance and more effective hydrogen bonding in the former. Temperature elevation weakened interactions in both mixtures, consistent with increased thermal agitation. These findings are significant for designing solvent systems in chemical processing and provide fundamental insights into mixture behavior relevant to industrial and environmental applications.
A. Radhika, Dr. K. Satyamurthy
Preventive health is gaining major attention in these days due to increasing number of lifestyle related disorders and psychological stress. Coming from yoga, as a complete lifestyle system, the aspect of any discipline on diet and breath regulation for homeostasis is indispensable. The current study investigates the impact of sattvic diet and yogic breathing practices on physical health and mental well-being. A cross-sectional survey of 357 respondents was conducted, and a quantitative research design used. Data were collected via a structured questionnaire to measure adherence to sattvic dietary practices, frequency of yogic breathing, perceived physiological health, and psychological well-being. The proposed hypotheses were tested using descriptive statistics, correlation analysis and multiple regression. It showed that sattvic diet and physiological health; yogic breathing practices and physiological health were significantly positively associated with each other. Meanwhile, yogic breathing proved to be a significantly stronger predictor than self-belief in the ability of breathing techniques to exert parasympathetic control over physiological responses. The interaction analysis demonstrated that both diet and breathing practices work synergistically, as the combined adoption of a dietary regulation mild had significantly greater improvements in physiological health and psychological well-being than either component alone. These findings are in keeping with the holistic premise of yoga that lifestyle practices synergistically work to positively impact overall health. The results may also serve as a welcome addition to the literature on integrative health by demonstrating empirical support for yoga-based lifestyle intervention efficacy. It also has practical implications for wellness programs by underscoring the importance of integrating nutritional knowledge with breath-based therapeutic modalities. Longitudinal and/or experimental designs will allow researchers to establish these relationships with greater confidence in the future.
Deepali, Dr. Indu Bala
Disturbed sleep is a matter of concern to all individual. When the problem reaches to the height it is called insomnia. In Insomnia, “insomnolent thoughts” (IT) prevent sleep and create heightened cognitive hyperarousal, which is a growing public health concern. Interventions conventionally used till now such as pharmacotherapy and CBT though gives relief, but often have limitations related to side effects. This process has openness to all, variable effectiveness and worth issues too. Age old approaches, especially yoga, have shown positive results in improving sleep quality by reducing stress and IT patterns. Present research are largely on isolated yoga practices or specific populations, which lacks generalisation. This study employs a randomized controlled trial (n = 292, adults aged 18–60, Delhi NCR) to examine the psychological benefits of nine diverse yoga interventions: Hatha, Yoga Nidra, Restorative, Vinyasa, Ashtanga, Kundalini, Iyengar, Bikram, and Pranayama, each combined with talk therapy, compared against a control group receiving talk therapy alone. Over 12 weeks, participants will undergo structured sessions (3 per week), with pre- and post-assessments conducted using the Pittsburgh Sleep Quality Index, Perceived Stress Scale, and Cognitive Behavioral Insomnia Questionnaire. The study hypothesizes that yoga-based interventions, and particularly Yoga Nidra and Restorative Yoga, demonstrated greater improvements in sleep quality, stress reduction, and mitigation of insomnolent thoughts compared to talk therapy alone. By systematically comparing varied yoga modalities, this research clarified the mechanisms through which yoga enhances sleep and psychological well-being, while providing evidence-based guidelines for integrative, non-pharmacological treatments for insomnia.
Emmanuel C. Nnabuihe, Henry Okolie, Jane Mbadianya, Ndukwe O.Okorie, Obasi C,Chiamaka, Obidiebube A. Eucharia, Obinweke Stellamaris, Umeh A.Ogechukwu
Objective The objective of this study was to examine the parent-hybrid relationships in single pair wise F1 crosses between Ikom and Riverine bitter leaf cultivars in Awka, Southeastern Nigeria. Overview The experiment was conducted during the 2024 and 2025 cropping seasons at the Teaching and Research Farm, Faculty of Agriculture, Nnamdi Azikiwe University, Awka. The one-way crosses involved Ikom x Ikom, Riverine x Riverine and Ikom x Riverine in a Pair-wise mating design which were replicated three times on a RCBD Experimental site. The leaves of the progenies were tested for phytochemical and proximate compositions at the Biotechnology Lab National Root Crop Research Institute Umuahia, Abia State. Results Evaluation at 5% degree level of significance showed that Ikom x Riverine (I1 x R1) hybrid progeny outperformed the Ikom x Ikom (I1 x I2), and Riverine x Riverine(R1 x R2) inbred lines in all the measured agronomic parameters showing high mid parent heterosis (MPH) estimate in plant height(65%), number of branches(73%), number of leaves (67%), measured leaf area(82%), stem girth(23%) and longest branch length(88%). Positive heterosis for fat (+60%), and vitamin C (+8.9%) showed nutritional superiority. Among the phytochemical parameters, the same hybrid progeny showed negative MPH in Alkaloids (-12%), Saponins (-20%) and Oxalates (-12%) which indicated better palatability and digestibility. Conclusion The Ikom x Riverine cross progeny high heterosis on agronomic and nutritional components makes it a high yielding and nutritious bitter leaf hybrid that is relatively less bitter and well situated for commercial production. Although F1 off springs are highly heterogeneous and tend to lose most of its desirable traits in further crosses, the progeny can conveniently be multiplied through cloning which retains most of these traits.
EKENO Precious Eroboghene, ORUGBA Kenneth Obokparo, OVILI Henry Peter
The rapid, heterogeneous integration of Artificial Intelligence (AI) technologies is profoundly reshaping the dynamics of work across the Nigerian business sector, generating both significant economic opportunities and acute labor market challenges. This study investigates the complex interplay between AI adoption and human capital readiness in Nigeria, focusing specifically on the identification of critical skill gaps, the evaluation of current corporate and national training initiatives, and the projection of net job creation versus displacement. Employing a mixed-methods approach that includes a quantitative survey of 150 leading Nigerian firms across finance, tech, and manufacturing, complemented by qualitative analysis of government policy and workforce interviews, the research reveals a significant deficit in high-demand technical competencies such as data engineering, machine learning maintenance, and AI ethics. Findings indicate that while up to 25% of routine administrative tasks face high automation risk, the rate of new job creation hinges critically on the immediate implementation of targeted, scalable reskilling programs. We conclude that overcoming this structural skill deficit through deliberate investment in tertiary education reform and strong private-public partnerships for continuous vocational learning is mandatory for Nigeria to successfully leverage the AI revolution for inclusive economic growth and ensure long-term workforce resilience.
A. Tewogbade, A.A. Alabi, A.D. Ojo, O. Ikotun, S.A. Adefemi
Mental disorders such as Bipolar Type-1, Bipolar Type-2, and Depression continue to affect millions of people worldwide, yet early and accurate diaganosis is challenging due to stigma, limited resources, and the subjectivity of self-reporting. Trying to bridge this gap, this project sought to develop a mental health diagnosis system that possesses the ability to classify individuals into Bipolar Type-1, Bipolar Type-2, Depression, or Normal states based on organized user input. Utilizing data acquired from an online repository, the system was designed with careful data cleaning, pre-processing, and class balancing using SMOTE for equal representation. Logistic Regression, Decision Tree, and Random Forest models were trained individually and then ensemble together using both hard and soft voting ensemble methods to obtain more stable predictions. The final ensemble model outperformed the individual models with accuracy up to 80%. This solution was deployed as a simple web app where users are able to answer a few guided questions and receive AI-generated feedback about their possible mental state instantly. The project demonstrates that the application of an ensemble of machine learning models will enhance early mental health screening and provide a supportive, accessible tool that will encourage individuals to seek professional help when needed.
Alamu, E.A, Asieba, L.N, Ogunmoyela, O.B
Ukpo-oka, a type of maize-based pudding, has similarities to moi-moi, a steamed bean pudding. Typically, deficient in protein content, ukpo-oka is often consumed without any additional protein sources. The prevalence of nutritional deficiencies can be linked to the excessive reliance on single food items, resulting in monotonous diets. Cereals like maize are notably insufficient in protein, vitamins, and minerals. This study investigated the nutritional properties as well as the sensory evaluation of enriched ukpo-oka produced from an optimized maize-pigeon pea flour blend. An i-optimal mixture design within the framework of response surface methodology was employed for the optimization. The predictive models gave an optimal maize-pigeon pea blend of 54.3% maize and 45.7% pigeon pea with a desirability factor of 0.605.Proximate analysis of the enriched pudding revealed 36.2%, 13.49%, 10.35%, 2.93%, 3.86%, and 33.17% for moisture, protein, fat, crude fibre, ash, and carbohydrate respectively with an energy value of 408.79 ± 0.13 kcal. Mineral analysis on the enriched pudding showed improved levels of iron, zinc, potassium, calcium, and magnesium which were 6.42 mg/100 g, 3.13 mg/100 g, 136.28 mg/100 g, 52.68 mg/100 g and 74.85 mg/100 g respectively. The essential amino acids: leucine, lysine, phenylalanine, tryptophan, valine, methionine, histidine, isoleucine, and threonine levels were 7.3 g/100 g, 4.46 g/100 g, 3.96 g/100 g, 1.29 g/100 g, 3.51 g/100 g, 1.25 g/100 g, 2.35 g/100 g, 4.03 g/100 g and 3.25 g/100 g respectively for the enriched pudding. Sensory evaluation revealed that 100% maize pudding (control) was preferred than the enriched pudding across all attributes analysed. Overall, the results showed that the enriched ukpo-oka had better nutritional profiles than the 100% maize pudding. However, because of the high pigeon pea content in the optimized flour blend, the sensory study revealed that it was significantly different (p ≤ 0.05) from the traditionally known ukpo-oka. Nevertheless, this resulting pudding offers a wholesome and promising solution for promoting dietary diversification and contributing to nutrition security.
Jeanda T. Tarre, Joan P. Bacarisas
This study aimed to assess whether the profile of pediatric nurses predicted their clinical cultural competence in a government hospital in Surigao City. A quantitative descriptive-correlational-predictive design was employed. The study utilized a total enumeration sampling design, wherein all 112 registered nurses who met the inclusion criteria and were affiliated with the Pediatric Intensive Care Unit, Pediatric Ward, and Pediatric Respiratory Unit were included as respondents. Data were collected using a structured questionnaire adapted from the Campinha-Bacote Model of Cultural Competence, measuring cultural awareness, knowledge, skills, encounters, and desire. Descriptive statistics summarized the profile and competence levels, while regression analysis examined the predictive relationship between nurse characteristics and cultural competence. Findings revealed that the respondents demonstrated very high levels of clinical cultural competence across all domains, with cultural awareness being the highest. Regression analysis showed that age, civil status, current area of assignment, and frequency of caring for patients from diverse cultures significantly predicted cultural competence. Other variables, including sex, educational attainment, years of experience, and employment status, were not significant predictors. Although the pediatric nurses exhibited high overall competence, certain demographic and experiential factors influenced their cultural competence. The results highlight the need for targeted interventions to strengthen cultural responsiveness. Based on the findings, a Clinical Cultural Competence Enhancement Plan was proposed to guide hospital-based initiatives aimed at improving culturally sensitive pediatric care.
Precious Bernadette DM Estrada, Roilingel P. Calilung
The study revisits the Religare student leadership program of the University of the Assumption, examining its historical themes from Academic Years 2005–2006 to 2019–2020 to guide in the development of a leadership training design. Using secondary data from souvenir programs and accomplishment reports of UACSC presidents, the study employed thematic analysis to identify recurring leadership concepts, values, and competencies embedded in program implementation. Findings revealed a progression from foundational leadership and team-building activities to values-driven, servant-oriented, and globally conscious leadership themes. The analysis further highlighted implicit alignments with Astin’s Theory of Student Involvement, Kouzes and Posner’s Leadership Challenge, and Greenleaf’s Servant Leadership Theory, demonstrating the program’s potential for systematic leadership formation. Based on these insights, a structured and scaffolded leadership training design is proposed, integrating experiential learning, behavioral competencies, and values-based development to enhance student leadership across multiple levels.
David Paolo S. Tombo, Jon-Jon Martinez
This study investigated the effect of interactive learning tools—specifically simulation-based training, virtual clinical modules, and mobile learning applications—on the perceived clinical competence of Level 3 nursing students in a selected College of Nursing in Cavite, Philippines. A quantitative pretest–posttest research design was employed, involving 100 nursing students. Data were collected using a self-developed structured questionnaire that assessed respondents’ demographic profile, level of exposure to interactive tools, and perceived clinical competence across four domains of the Perceived Clinical Competence Scale (PCCS): clinical knowledge, psychomotor skills, clinical reasoning and judgment, and confidence/self-efficacy. Additionally, usability, learning process, and perceived barriers and support were evaluated.
Kunjlata Lal
The Morvan Dam is located in the Indian state of Madhya Pradesh, specifically in Morvan Village, which is part of Neemuch district in Jawad Tehsil. The dam is built on the Gambhiri River, which is a tributary of the Chambal River. It was mainly built to supply water for both irrigation and drinking purposes, and it provides water to 26 villages in the Neemach district. The dam is made of stone masonry and was constructed in 1960. Its coordinates are latitude 27° 37’ 06” N and longitude 75° 03’ 30” E. The length of the dam is 990 meters, and its width is 12 meters. The dam can hold a total of 16.46 million cubic meters of water. The maximum depth is 27.42 meters, while the average depth is 13 meters. This dam is very important for the villagers because it supplies drinking water, helps with farming through irrigation, and supports fish farming. It covers about 267,100 hectares of land that is used for irrigation. As development, industrialization, and population growth continue, the need for water is increasing significantly. Dams like the Morvan Dam are used by people and animals for drinking and also for raising fish. Because of this, it is important to monitor the water continuously to ensure its long-term sustainability and proper management.
Dang Tien Thang, Le Quoc Thang, Nguyen Bao Giang, Pham Ngoc Diem
English plays a crucial role in advancing the connection between customer and seller in the international market, especially in e-commerce. The use of English business terminology has become increasingly common in commercial livestream sessions on TikTok. However, proving that its use affects the purchase intention has still not been explored in prior studies. Therefore, this study would fill this gap by surveying 242 Gen Z customers in Ho Chi Minh City through the questionnaire. The findings demonstrated that customers' trust and engagement are affected significantly by English business terminology, but the purchase intention is not affected. Additionally, customers’ trust and engagement play the mediating role between the use of English business terminology and purchase intention. These detections showed the important part of English business terminology in enhancing the trust and interaction during livestream commerce. Furthermore, it also provides some implications for exploring the influence of language in online trading.
Jellyfer B. Bello, Sarilyn R. Lopez.
To properly manage the landslide threat and minimize property damage and fatalities, a landslide susceptibility map must be created. The municipality of Kayapa has seen landslides, just like many other hilly areas, which have caused lives, injuries, and property damage. Therefore, the purpose of this work was to use a Geographic Information System-based spatial multicriteria approach to create map of landslide susceptibility. For the current assessment, seven parameters were chosen, that include elevation, land cover, rainfall, slope, road distance, and river distance. Four susceptibility classes low, moderate, high and very high—were identified on the landslide susceptibility map that resulted from the integration of Analytical Hierarchy Process and Geographic Information System methodologies. The thematic maps provide a more detailed representation of the places that are susceptible. The data indicates that 7288.12 hectares are classified as low susceptible, 14138.65 hectares as moderate susceptible, 16525.27 hectares as highly susceptible, and 11618.47 hectares as very highly susceptible to landslides. The study also reveals that the Slope is the most influential factor affecting landslide vulnerability. Additionally, the field survey and geotagging validation provide positive findings, meaning that the verified spots match the susceptibility levels on the landslide susceptibility map. The visualization of landslide susceptibility is a useful tool for disaster preparedness since it allows local government agencies to put specific policies in place to reduce the danger of landslides, particularly in high-risk areas.