Authors: Ayub Khan, Pushali Trikha, Lone Seth Jahanzaib
Abstract: The paper introduces an effective way to control chaos of a fractional chaotic system in presence of uncertainties tc. Theoretical claims are verified numerically using MATLAB software.
DOI: https://doi.org/10.5281/zenodo.20487204
Authors: Kanimozhi v
Abstract: Nowadays mobile phones are used by almost every student. Students use phones for online classes, chatting, social media, games, watching videos, and many other things. Mobile phones are useful in daily life, but using them too much can slowly become a bad habit. Many students spend long hours on their phones without even noticing it. Because of this, studies, sleep, health, and even relationships can get affected.This study is about mobile phone addiction among students and how it affects their daily life. It also explains some reasons behind excessive mobile phone usage and simple ways to reduce it. Even though smartphones are helpful, students should know how to use them in a balanced way
DOI: http://doi.org/
Authors: Annu Priya1,, Vijay Laxmi2,, Ujjwal Kumar3,, Amrita Kumari4,, Balwant Singh5
Abstract: The present study investigates the diversity and traditional utilization of medicinal plant species in Vaishali District, Bihar, India. Vaishali possesses a rich floristic composition supported by fertile alluvial plains, wetlands, agricultural landscapes, and rural ecosystems. Field surveys, interviews with local inhabitants, traditional healers, and ethnobotanical observations were conducted to document medicinal plant diversity and indigenous knowledge associated with their use. The study recorded a wide range of medicinal plant species belonging to different families and growth forms, including herbs, shrubs, climbers, and trees. These species are traditionally employed for the treatment of various ailments such as digestive disorders, respiratory infections, skin diseases, fever, diabetes, inflammation, and other common health conditions. The findings highlight the significant role of medicinal plants in rural healthcare systems and emphasize the importance of conserving plant biodiversity and traditional ethnomedicinal knowledge. Increasing anthropogenic pressures, habitat degradation, and loss of indigenous knowledge pose challenges to the sustainable use of these valuable biological resources. Therefore, systematic documentation, conservation strategies, and awareness programs are essential for preserving the medicinal plant wealth of Vaishali District for future generations.
DOI: https://doi.org/10.5281/zenodo.20458522
Authors: S. Rishi Karthikeya, Pavan Raj,Mrs.Radhika
Abstract: This paper examines WWI and WWII battlefield data to show data visualization techniques. Included in the data set is data about casualties, number of days for the battle, its location, and the outcome. Data visualization was constructed with Tableau to gain insights into the trends and patterns by region and time. The study noted Europe and Asia saw the heftiest losses, and that a number of "significant fights" played a major role in total losses. The analysis shows how visualization methods can aid in comprehending historical war data better.
Authors: Souda Pranavi, Vardelli Disharani, Peddamma Stalin, P.V.R.Ravindra Reddy
Abstract: The demand for lightweight, high-strength, and corrosion-resistant structural materials has significantly increased in aerospace, automotive, marine, and civil engineering industries. Carbon–epoxy composite materials have emerged as one of the most promising alternatives to conventional metallic materials because of their superior mechanical and thermal properties . Among various structural configurations, composite I-section beams have attracted considerable attention due to their excellent bending stiffness, high strength-to-weight ratio, fatigue resistance, and structural efficiency. This review paper presents a detailed overview of carbon–epoxy composite I-section beams with emphasis on material properties, fabrication techniques, finite element analysis, experimental investigations, failure mechanisms, optimization strategies, and structural applications. The paper critically examines the influence of fiber orientation, stacking sequence, laminate thickness, curing conditions, and manufacturing defects on the structural performance of composite beams. Advanced fabrication methods such as prepreg layup, vacuum bagging, and autoclave curing are discussed in detail. Recent developments in finite element modeling for stress, strain, deflection, fatigue, and buckling analyses are also reviewed. Furthermore, various non-destructive evaluation techniques used for identifying internal defects and monitoring structural integrity are examined. The review identifies major research gaps in composite beam development and highlights future opportunities for high-performance lightweight structural systems.
DOI: https://doi.org/10.5281/zenodo.20445172
Authors: Gargi Chander
Abstract: This paper examines the relationship between consumer price inflation (CPI) and per capita net state domestic product (PCNSDP) across Indian states using a balanced panel dataset spanning 2014-15 to 2024-25. The study draws on official data from the RBI’s Handbook of Statistics. After constructing a balanced panel of 24 states and Union Territories over 11 years (264 observations), applying a suite of panel econometric estimators: pooled OLS, one-way fixed effects (entity), two-way fixed effects, random effects GLS, between estimator, and first-differences. Model selection follows the Hausman specification test. Unit-root diagnostics using augmented Dickey–Fuller tests indicate that both series carry non-stationary behaviour in levels, motivating the first-differences specification. The two-way fixed effects model—which accounts for both time-invariant state heterogeneity and common macroeconomic shocks—yields a statistically significant positive coefficient on CPI inflation (β = 0.0049, p = 0.046), while the first-difference estimator produces a significant negative coefficient (β = −0.0084, p < 0.001). The Hausman test (p = 0.91) favours random effects over one-way fixed effects. Taken together, these results suggest that the inflation–income relationship in India is nuanced: short-run income growth is dampened by inflationary shocks, but within-period cross-sectional variation, once purged of state and year effects, shows a mild positive co-movement consistent with demand-pull dynamics. The paper contributes a rigorous methodological treatment of India's state-level inflation–income nexus and discusses policy implications for monetary and fiscal coordination.
Authors: Vishnu Koudgave, Pratik Londhe, Anishka Ahuja, Prasanna Kharbas, Prof. Jyoti Raghatwan
Abstract: With the growing demand for touchless and intelligent computing systems, hand gesture recognition has emerged as an innovative approach for natural human-computer interaction. This paper presents an AI-based Virtual Mouse system that enables real-time cursor control using hand gestures captured through a webcam. The proposed system utilizes MediaPipe for detecting 21 hand landmarks and OpenCV for real-time video processing, while PyAutoGUI is used to perform mouse operations such as cursor movement, clicking, scrolling, and dragging. The system provides smooth, accurate, and low-latency interaction without requiring additional hardware, making it a cost-effective and user-friendly solution. The proposed model enhances touchless human-computer interaction and has potential applications in smart environments, virtual reality systems, gaming, and assistive technologies.
DOI: https://doi.org/10.5281/zenodo.20444460
Authors: Dr. Dinesh D. Patil, Shruti Mangesh Bunde, Nidhi Vinodsingh Pardeshi, Manasvi Rajesh Bauskar
Abstract: The increasing demand for rental accommodation in urban areas has made traditional room searching methods inefficient and time-consuming. Conventional approaches rely heavily on brokers and manual processes, often resulting in higher costs, lack of transparency, and delayed communication. To address these challenges, this paper presents Roomzee, a cross-platform room rental and booking system designed to simplify and digitize the process of finding and booking rental spaces. The proposed system integrates both web and mobile platforms, allowing users to search, view, and book rooms in real time. The frontend of the application is developed using React, providing a responsive and user-friendly interface [6]. The backend services are implemented using Supabase, which offers secure authentication, real-time database management, and efficient data handling capabilities. The use of cloud-based architecture ensures scalability, reliability, and continuous availability of the system [4]. The development process follows Agile methodology to support iterative improvements and adaptability throughout the software development lifecycle [14]. The system reduces dependency on intermediaries and improves overall efficiency in rental management. The results demonstrate enhanced user experience, faster booking operations, and improved data accessibility compared to traditional methods. Furthermore, the system is scalable and can be extended with advanced features such as online payment integration and intelligent recommendation systems.
DOI: https://doi.org/10.5281/zenodo.20444184
Authors: Ms. Anshika Yadav
Abstract: The increasing growth of urbanization and industrialization has intensified the burden on conventional sewage treatment plants (STPs), leading to higher energy consumption, operational inefficiencies, and environmental pollution. Artificial Intelligence (AI) has emerged as a transformative technology capable of improving wastewater treatment processes through predictive analytics, automation, optimization, and real-time monitoring. This research paper explores the concept of AI-powered smart sewage treatment plants and examines how machine learning, deep learning, IoT sensors, and digital twin technologies can enhance sewage treatment efficiency and sustainability. The study reviews existing literature, identifies research gaps, and proposes an AI-integrated smart sewage treatment framework for predictive maintenance, water quality forecasting, and energy optimization. The paper concludes that AI-enabled STPs can significantly reduce operational costs, improve effluent quality, and support sustainable urban water management.
DOI: https://doi.org/10.5281/zenodo.20443923
Authors: K. Amrutha Varshini, Gaddam Jancy, B. Manogna, B. Trisha, Mushti. Ankitha, Nunsavath Shanthi, Someshwar Komati, Dr. Someshwar Komati
Abstract: Nanoparticulate drug delivery systems have gained considerable attention for improving the therapeutic efficacy of poorly soluble anticancer drugs through controlled and targeted delivery. The present study aimed to formulate and characterize Docetaxel-loaded nanoparticles using Poly(lactic-co-glycolic acid) (PLGA) as a biodegradable carrier polymer. Nanoparticles were prepared by nanoprecipitation using optimized drug-to-polymer ratio and stabilizer concentration. The formulations were evaluated for particle size, zeta potential, entrapment efficiency, drug loading, and in-vitro drug release. FT-IR spectroscopy confirmed compatibility between drug and polymer, while zeta potential analysis indicated good colloidal stability. In-vitro release studies demonstrated sustained release of Docetaxel over an extended period. Kinetic analysis using zero-order, first-order, Higuchi, and Korsmeyer–Peppas models suggested a controlled drug release pattern predominantly governed by diffusion. The findings indicate that PLGA-based Docetaxel nanoparticles are a promising approach for targeted anticancer drug delivery with potential to enhance therapeutic efficacy and reduce systemic toxicity. Further in-vivo studies are recommended to confirm clinical applicability.
DOI: https://doi.org/10.5281/zenodo.20443596
