Volume 12 | Issue 11 |

 Abstract

Abstract Geographers and regional planners have long faced difficulties due to geographic disparities in human development results. There are many various methods for measuring the development gap, and each one offers a distinct way of classifying the world according to its level of development. Present study is to investigate the geographical variation of human development index (HDI) and socio economic elements that have an impact on sustainable regional development. The study is based on the secondary data, and sources are from Census of India, United National Development Programme (UNDP) and district human development report at different time intervals. The social development indices have been calculated like adult literacy index, female literacy index, gender parity index, child health index, adult health index ,malnutrition index, work participation rate etc .All these information have been integrated into GIS platform. Spatial and overlay analysis have been performed to determine the regions under high, medium and low development within the study site. The very high value of education index is calculated for Pingla and Sabang block. The low value of education index is calculated for Dantan-I, Kharagpur-I and Kharagpur-II block. The results' clear-cut implications show that Debra Block has already succeeded in making a 69.3% improvement in her health, while the remaining 30.70% still has to be made. Cultivators and agricultural labourers made the largest contribution to the labour force out of all occupations. In Pingla, farmers made up 45.10percent of the overall workforce, whereas in KharagpurI, they madeup 38.07percent.This information would then be used to help plan more effectively and take mitigating measures.

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 Keywords

Keywords:Human development index, GIS, Regional development, Kharagapur sub-division.

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In this research, the predictive modelling used is support vector machine (SVM) method that can easily handle a very high quotient of complex health data. Even though most of us lead stressful lives these days, it seems improbable that more people had really weak hearts in the past. Heart failure is when the heart is not really pumping along any more in its usual way. SVM is something that figures out who and when bad things might happen to you, which is to say, who really might have quite serious vascular issues. The remarkable 79% accuracy rate of the SVM's classification abilities applies to a wide range of clinical indications and risk factors. This is pretty amazing. It now seems clear that if such predictions are used well, true doctors can radically change the way we think about healthcare by finding heart issues before they become big. And they can make healthcare cheaper in the process. This study is focusing a huge spotlight on how smart, informed computer methods are a must if we want to get truly good at finding and treating heart failure early--and on the road to much better ideas about keeping tabs on your health.

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 Keywords

-- Machine Learning, Heart Failure, Support Vector machine, Efficacy, Health, Mental Health, Developing countries, Classification Analysis

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 Abstract

Khaady saaksharata ek apekshaakrt naee avadhaarana hai jo gyaan aur kaushal sahit bhojan ke baare mein kisee vyakti kee samajh ko svasth aahaar banae rakhane kee unakee kshamata se jodatee hai. yah judaav kishoron ke svaasthy kee suraksha mein vishesh roop se mahatvapoorn hai, jo aksar kam poshak tatv vaale, uchch kailoree vaale khaady padaarthon ka atyadhik maatra mein sevan karate hain jisase kaee tarah kee svaasthy samasyaen ho sakatee hain.

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svaasthy saaksharata, poshan, saikometrik visheshataen

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Rural development is fuelled by the economy, social development, and agriculture, all of which work as catalysts for inclusive rural development. Young people are passively driving this trend. As the primary human resource for development and important agents of social change, the rural youth may help realise the Ministry of Rural Development's vision of sustainable and inclusive growth for rural India. India can benefit from the "youth bulge," which even wealthy nations cannot access. Young people's viewpoints and experiences can make a significant contribution. The Nehru Yuva Kendra Sangathan, the National Service Scheme, and the extensive youth network might all contribute to the improvement of rural India. As the nation's most valuable resource, the dynamic youth capital should be used as important collaborators in the planning and development process.

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Youth, Inclusive Development, Rural Development, National Service Scheme, Nehru Yuva Kendra Sangathan

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Medical imaging plays a crucial role in diagnostic medicine, especially with X-rays, which are widely utilized due to their efficiency and non-invasive nature. This paper proposes an advanced annotation system tailored for X-ray images, leveraging deep learning algorithms to automate and enhance annotation precision. The system architecture includes modular components for preprocessing, segmentation, and annotation, structured through data flow and UML diagrams. Experimental results reveal significant improvements in annotation accuracy and efficiency, highlighting the potential for this system to assist radiologists in clinical environments.

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X-ray imaging, medical image annotation, deep learning, system architecture, diagnostic assistance, automated annotation, healthcare technology

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This paper studies the educational aspiration of the adolescents in relation to parental involvement. Objectives of the study were - to study the educational aspiration of male and female children and to study the educational aspiration of adolescents with high and low Parental Involvement. Sample of the study consisted of 400 students of 9th class from Punjab School Education Board selected by using lottery method. Data was collected by using Parent - Child Interaction scale developed by Nidhi Sharma, (2000), and Educational Aspiration scale by Dr. S. K. Saxena (1984). Collected data was analyzed by using descriptive statistical techniques such as mean, median and standard deviation and Two way analysis of variance (ANOVA). Results of the study revealed significant difference in educational aspirations of male and female adolescents and significant difference in educational aspiration with high and low parental involvement. It was found that there exists no significant interaction effect of gender and parental involvement on the educational aspiration of adolescents. It was also observed that the value of educational aspiration of male is more than the female adolescents and high parental involvement leads to more educational aspiration among male adolescents than female.

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Educational Aspiration , Parental Involvement, Adoloscents

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 Abstract

Stanapaan shishuon ko khilaane ke lie sabase surakshit, kam se kam elarjee paida karane vaala aur ishtatam tareeka hai. yah kaee tarah ke laabh pradaan karata hai, jisamen poshan sambandhee laabh, pratiraksha sambandhee sahaayata, vyavahaarik aur manovaigyaanik pahaloo, saath hee aarthik vichaar shaamil hain. stanapaan shishuon ko khilaane ke lie sabase surakshit, kam se kam elarjee paida karane vaala aur ishtatam tareeka hai. yah kaee tarah ke laabh pradaan karata hai, jisamen poshan sambandhee laabh, pratiraksha sambandhee sahaayata, vyavahaarik aur manovaigyaanik pahaloo, saath hee aarthik vichaar shaamil hain.

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 Keywords

Preelaiktiyal pheed, Colostrum, vishesh stanapaan, samudaay

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Because they are simple to apply and remove, pharmaceutical creams have long been an essential component of cosmetic goods. Cleaning, beautifying, changing look, hydrating, and preventing bacterial and fungal infections are just a few of their many uses. Additionally, they are used to treat wounds, burns, and cuts. The public and society can safely employ these semi-solid preparations. Although human skin is prone to damage, it has the ability to mend itself. However, there is a chance of infection, particularly in the early stages of damage, and the natural healing process may take some time. In these situations, medicinal creams can be administered to the wound site to promote healing and prevent infection. This study centers on the application of prescription creams for wound healing, going over the many kinds of creams, components, assessment criteria, preparation techniques, function categorization, benefits and drawbacks, and features.

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The use of creams for wound healing, topical medication administration, and skin care is covered in this literature

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Here is the abstract: Design and Development of a recycled polyester fiber jacket, addressing textile waste and environmental sustainability in the fashion industry. Transforming post-consumer plastic waste into eco-friendly clothing, the EcoCycle jacket demonstrates comparable mechanical properties to virgin polyester, reduced environmental impact (up to 70% less carbon footprint), and improved thermal comfort and water resistance. This research showcases the feasibility of sustainable fashion practices, promoting a closed-loop lifecycle and minimizing textile waste.

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Sustainable fashion, Recycled polyester, Eco-friendly, Textile waste reduction, Circular economy, Green textile design, Environmental sustainability, Fashion technology, Closed-loop production, Polyester recycling.

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As global populations continue to rise, the pressure on agricultural systems to produce higher yields with limited resources intensifies. The project "Precision Fertilizer" addresses these challenges by leveraging precision agriculture technologies to enhance the efficiency and effectiveness of fertilizer use in crop production. This initiative focuses on developing a holistic framework that integrates advanced data analytics, soil health diagnostics, and real-time monitoring systems. By utilizing tools such as Geographic Information Systems (GIS), remote sensing, and IoT devices, we aim to gather detailed information on soil composition, moisture levels, and nutrient availability across diverse agricultural landscapes. Through the application of machine learning algorithms, the project seeks to analysis these data sets to create predictive models that determine the optimal types and amounts of fertilizers required for specific crops at different growth stages. This targeted approach not only maximizes nutrient uptake but also minimizes the risks of over-fertilization, which can lead to soil degradation and waterway pollution. Ultimately, "Precision Fertilizer" aspires to demonstrate the economic and ecological benefits of precision nutrient management, paving the way for a new paradigm in sustainable agriculture. The expected outcomes include increased crop yields, reduced fertilizer costs for farmers, and a significant decrease in the environmental footprint of agricultural practices. This research not only tackles immediate agricultural challenges but also contributes to long-term food security and environmental sustainability.

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Precision Fertilizer

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Creative Commons Attribution 4.0 and The Open Definition