Volume 13 | Issue 3 |

 Abstract

Anatomy Insight is an Android-based application designed to facilitate interactive learning of human anatomy through real-time 3D model rendering. Developed using Kotlin, Jetpack Compose, and Google Filament, the app provides a visually immersive experience by enabling users to explore detailed anatomical structures with high-performance rendering techniques. The application supports over 2,369 anatomical subparts, each with dynamic selection capabilities, allowing users to focus on specific structures. A search functionality enables retrieval of anatomical models by both scientific and common names, enhancing accessibility for students and professionals alike. Advanced rendering optimizations, including HDR lighting, ambient occlusion, bloom effects, and MSAA (multi-sample anti-aliasing), ensure a high-fidelity visualization of 3D anatomy models. Anatomy Insight leverages Google Filament's real-time rendering capabilities, utilizing ModelRenderer.kt for loading GLB-format anatomical models and hdrutils.kt for HDR environment lighting. Navigation within the application is handled using NavController, providing a seamless transition between the home and search pages. By integrating open-source 3D anatomical models and public domain educational descriptions, this app serves as a comprehensive learning tool for medical students, healthcare professionals, and enthusiasts. Future enhancements include interactive quizzes, AR support, and multi-language integration, further enriching the learning experience.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Human Anatomy, 3D Model Visualization, Kotlin, Android App, Jetpack Compose, Google Filament, Real-Time Rendering, Educational Technology, Medical Learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Land is an important natural resource. It is the mainstay of human development. The use of land is based on the needs of the people living there, geographical features, and human discretion.The better the land use management in a particular area, the more economic progress that area will make. The study area is Lakhimpur Kheri district, situated in the middle Ganga plain of Uttar Pradesh, which has fertile alluvial soil.Therefore, most of the land in the district is used for agriculture. 60.06% of the total reported area in the district is used for agriculture, followed by 25.20% forest, 0.81% cultivable wasteland, 0.77% gardens, trees and bushes, 0.75% barren land, 0.62% uncultivable land, 0.13% pasture,and the land use pattern of other fallow land is seen in the smallest area of only 0.01%. Mainly secondary data has been used for the research. The main objective of the research is to study the current land use pattern of the district,so that assistance can be provided in the creation of future plans and sustainable development for the district.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Land use, agriculture, forest land, wasteland, pasture.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Cancer is a group of diseases that involves abnormal growth of cells, with the potential to occupy or spread to different parts of the body. Breast cancer is one of the most common malignant tumors in women worldwide, endangering both their physical and mental well-being. Usually, the cancer treatment involves chemotherapy and radiotherapy, but they consist of a great deal of several drawbacks like increasing toxicity, unselectivity, and comparative lack of solubility in targeted cells. Nowadays, the application of nanotechnology in treatment of breast cancer received more attention. Basically, the tumors can be targeted or cured using nanoparticles. Nanoparticles like liposomes, polymeric nanoparticles, micelles, solid lipid nanoparticles, and gold nanoparticles are introduced in the targeted cell to cure the breast cancer. Nanoparticles consist of unique physio-chemical properties, which enhance drug delivery systems and sustained release of the drugs. They basically activate the immune cell against the tumors. Currently, the major type of breast cancer seen among the women is triple-negative breast cancer (TNBC), which is nothing but the absence of estrogen, progesterone, and epidermal growth factor type 2 receptor; for this, the use of nanoparticles is preferred. As well, there are numerous advantages to the nanotechnology-based targeted drug delivery system over chemotherapy, which helps in the treatment of cancer and in building a quality life. A combination of phytochemical and chemotherapeutic agents with nanotechnology will have a greater impact on the treatment of breast cancer in the future. In this review, we have been given the outline and clinical use of nanoparticles in therapy and diagnosis of breast cancer and also various studies categorized for breast cancer cell lines into the different groups that complicate our comprehension of cell line classification.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

malignant, chemotherapy, radiotherapy, nanotechnology.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Divyango ke samne aane wali chunautiya avam sambhavit samadhan

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Divyango ke samne aane wali chunautiya avam sambhavit samadhan

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The increasing demand for on-demand home services has exposed inefficiencies in traditional service-matching platforms, including unbalanced service provider distribution and suboptimal response times. This paper proposes an AI-driven service- matching platform that utilizes Density-Based Spatial Clustering of Applications with Noise (DBSCAN) to dynamically allocate service providers based on real-time geospatial demand and provider availability. Unlike traditional systems, our approach identifies high-density service regions and low-service areas, ensuring efficient allocation and reduced wait times. The platform incorporates predictive analytics and dynamic pricing models to optimize resource allocation and enhance customer experience. A trust-based ranking algorithm further ensures that service provider selection is based on historical performance, customer ratings, and reliability metrics. Experimental simulations using real-world datasets demonstrate that our method improves service fulfilment speed by 30% and balances provider workload distribution, outperforming existing heuristic-based approaches. The proposed framework is highly scalable and adaptable to future enhancements, including IoT-integrated smart home automation and blockchain-based service verification.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

DBSCAN Clustering, AI-Driven Service Matching, Gig Economy Optimization, Geospatial Clustering, Predictive Analytics.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Non-biodegradable trash in water bodies is a problem that gets far less attention than air pollution when people think of pollution. Water pollution in India is largely caused by the accumulation of plastic waste on the surfaces of rivers and lakes. 90% of the plastic debris that enters the ocean comes from ten rivers, including the Ganga, Indus, and Brahmaputra. According to Latest News, there have also been reports of similar debris contaminating nearby lakes and canals (called "nalas"), which has reduced water supplies and limited access to clean water. Tamil Nadu, Punjab, and Maharashtra produced the most plastic garbage in India between 2015 and 2024. The largest volumes of plastic debris are found in the Indus, Ganga, and Brahmaputra rivers, whereas in water levels in New Delhi fall by an average of nine feet every year, and the Indus, Ganga, and Brahmaputra rivers carry the most plastic pollution. In order to solve this problem, a shore-wide water surface cleaning robot is being created to find and gather trash, assisting in the efficient cleaning of water bodies. The system integrates solar energy for sustainability, this creative solution which is managed through a mobile application, integrates preventive and curative measures that are crucial for environmental preservation and water saving.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Non-biodegradable, Plastic debris, Solar energy, Sustainability

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study was conducted to find School Adjustment and Academic Performance of Rural Disadvantaged Class Girls. The purposive random sample technique was used in the present study to select the sample of 280 students from two societies (TSWREIS, and TTWREIS) were chosen as the sampling frame. The researchers has followed Descriptive survey method to conduct the study and taken the help of research tool like questionnaire, to collect information from the subjects. Adjustment Inventory for School Students [AISS]: Prepared and standardized by A.K.P Sinha and K.P.Singh (1993) and revised in the year of 2012. Academic Performance: To Measure the academic Performance of V, and VIII Class students the source for academic Performance is scholastic record have been used for data collection. The data was subjected to statistical treatment by using percentage, Mean, Standard Deviation, and 't' test. The data were analyzed using different statistical techniques like means, standard deviations, t-test, one way Analysis of Variance (ANOVA) and Carl Pearson's Product Moment Correlation was employed. The findings of the study revealed that the correlation study revealed a substantial positive association between rural disadvantaged class girls student's academic achievement and their school adjustment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

School Adjustment, Disadvantaged Class Girls, Academic Performance.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ClimaSense is an innovative weather forecasting system that utilizes IoT technology to improve prediction accuracy and accessibility. By gathering real-time data from multiple IoT sensors, it analyzes weather conditions and generates precise forecasts. This system plays a crucial role in industries such as agriculture, aviation, and transportation by enabling data-driven decision-making. Through AI-powered analytics and intelligent data processing, Clima Sense transforms complex meteorological data into meaningful insights. It collects information from various sources, including satellite imagery, temperature sensors, humidity monitors, and pressure detectors, ensuring highly accurate weather predictions. Furthermore, Clima Sense offers a user-friendly mobile interface that provides real-time weather alerts, severe condition warnings, and long-term climate trends. Its accessibility benefits farmers, travellers, businesses, and government agencies, improving preparedness for changing weather patterns. By integrating cutting-edge technology, Clima Sense makes meteorological data more practical for everyday applications, enhancing safety, efficiency, and informed decision-making. This innovation helps individuals and organizations adapt to evolving weather conditions, ensuring resilience and better preparedness across various sectors.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT, weather forecasting, real-time data, climate prediction, and machine learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Financial well-being is an important part of our overall personal well-being. Being financially well means we can meet our current and ongoing financial obligations, feel secure in our financial future, and are able to make choices that allow us to enjoy life- in other words, financial freedom. Many elderly individuals lack even basic financial understanding, impacting their daily money management and long-term savings. Surveys conducted in India have highlighted this lack of awareness among its people regarding financial matters. The mixed methodologies have been used to identify the financial well-being related issues. This paper reveals that the notable disparities in financial literacy based on factors such as gender, age, education, employment status, and income level. Finally, the paper has highlighted the significance of promoting financial literacy initiatives specifically designed for vulnerable populations to equip them with the knowledge and skills required to make informed financial decisions and secure their financial futures with some excessive recommendations for better understand the workings of insurance, and being more comfortable using basic financial instruments. In a nutshell, financial literacy improves financial wellbeing.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Financial literacy, Financial knowledge, Financial behavior, Financial attitude, Financial wellbeing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A Digital Wireless Stethoscope for Real-Time Patient Monitoring and Cloud Integration offers a transformative approach to healthcare by combining advanced auscultation technology with wireless connectivity and cloud-based data management. This device enables healthcare professionals to remotely monitor patients' vital signs, such as heart and lung sounds, in real-time, ensuring timely intervention and continuous care. The wireless stethoscope uses high-fidelity sound sensors and noise reduction algorithms to capture accurate auscultation data, which is transmitted via Bluetooth or Wi-Fi to connected devices, such as smartphones or tablets. The collected data is seamlessly integrated into a secure cloud platform, where it can be stored, analyzed, and shared with authorized healthcare providers. This innovative solution is particularly beneficial in telemedicine, critical care, and rural healthcare settings, where access to on-site medical expertise may be limited. The cloud integration allows for long-term data tracking and analysis, enabling the detection of subtle changes in patients' health over time. Moreover, it facilitates collaboration among multidisciplinary teams and supports evidence-based decision-making. The digital wireless stethoscope not only enhances diagnostic accuracy but also improves patient outcomes by bridging the gap between traditional auscultation techniques and modern digital healthcare solutions.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords--Microcontroller ESP8266, heart rate monitoring, wireless B.P. measurement, patient monitoring system, wireless stethoscope.

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Creative Commons Attribution 4.0 and The Open Definition