Volume 12 | Issue 7 |

 Abstract

The present study was conducted to compare the achievement motivation among Muslim and Christian female school students of Ranchi. A total number of 120 female school students of class 9th and 10th studying in different schools were included in the sample. Academic Achievement Motivation Test developed by Dr. T. R. Sharma (1984) was used to compare the achievement motivation. The t-test was computed to assess the level of significance. The result revealed that achievement motivation among Muslim and Christian female school students were statistically not significant.

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Achievement Motivation, Muslim, Christian, Female School Students.

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Machine learning has an obligatory reliance on causal inference which is actually the search for cause and effect relationships in observational data, that is crucial in a variety of fields like economics, healthcare, and social sciences. Traditional methods for causal inference often face challenges with high-dimensional information and interactions between variables that are complex, making such techniques unavailable for biased or imprecise estimates of treatment effects. This research presents a new method which links deep learning with instrumental variables to solve these problems thereby providing a strong empirical approach for causal inference in machine learning. Our study builds a deep learning model that captures intricate and nonlinear association among variables while utilizing instrumental variables to control unobserved confounding factors. Synthetic datasets as well as actual clinical data were used to validate our proposed approach. A simulated dataset was used where there were pre-defined causal relationships in a healthcare setting to enable examination of the validity under conditions strictly controlled by the investigator. Realistic public health and economic datasets have been used to illustrate the feasibility of our method. The outcomes of the experiment show that the application of our method increases the reveal of the real ATE and CATE comparing to the traditional approach. MSE for example and bias are some of the aspects that are minimized by the deep learning model hence provide a reliable chance or causal inference. It shows the effects of the treatment while in the case of more elaborate analysis, attention is given to the ability of the treatment to affect different groups. Based on these findings, it is possible to consider this new approach helpful for management of observational data, which are complicated in their nature; the proposed approach is useful for providing professionals of various fields with necessary information. This paper presents a new approach developed to eradicate any constraint observed in traditional procedures particularly when performed under high dimensionality; information that enlarges the understanding of the topic area. The interpretation skills of the model need improvement in the future, as well as its ability to autonomously choose relevant instruments and apply them in different fields.It is worth pointing out that this particular research helps us understand how causality works within complicated data composition, especially in machine-based inference among others

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Causal Inference, Machine Learning, Deep Learning, Instrumental Variables, Observational Data, Treatment Effect Estimation, High-Dimensional Data, Confounding Factors, Empirical Validation

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Naproxen, fast-dissolving tablet, DSC, FT-IR etc.

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India, one of the world's fastest-growing economies, is undergoing a transformative phase driven by urbanization, technological advancements, and demographic shifts. Education stands at the core of this transformation, recognized as a crucial driver of economic development, human capital formation, and innovation. As India strives to maximize its potential on the global stage, the nexus between education and economic growth assumes paramount significance. This paper explores the intricate relationship between education and economic growth in India, delving into various dimensions such as human capital formation, innovation, and national competitiveness. It examines the challenges hindering progress in the education sector, including inadequate infrastructure, teacher shortages, and disparities in access and quality. Through an analysis of existing literature, empirical evidence, and case studies, the paper offers policy recommendations to foster a more inclusive and equitable education system that drives sustainable economic growth. The research objectives encompass investigating the link between education and key economic indicators, assessing the influence of education on economic growth, analyzing the quality and equity of education provision, and identifying challenges and policy interventions. Hypotheses are formulated to test the relationship between education and economic outcomes, providing a framework for empirical analysis. Key findings highlight the transformative potential of education in driving economic growth, with evidence suggesting positive correlations between education attainment and economic indicators such as GDP growth and employment rates. Policy initiatives such as the National Education Policy of 2020 and the Skill India initiative underscore the government's commitment to enhancing educational outcomes and fostering economic prosperity. The paper concludes by emphasizing the critical importance of education as a catalyst for social mobility, economic development, and national advancement. It calls for sustained investments, strategic policy interventions, and collaborative efforts to overcome challenges and build a more inclusive and responsive education system that empowers individuals and fuels sustainable economic growth in India.

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Education, Economic Growth, Skill Development, Human Capital, Policy Recommendations

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The objectives of the present research work to develop the Union Fabrics having the 100% Cotton (2/50) in warp and 100 % Bamboo (1/30), 100 % Modal (1/30), 100 % Viscose(1/30) and 100 % Cotton(1/30) in weft and find out the aesthetic appealing properties like pilling Resistance, color fastness to wash and drape coefficient of union fabrics with cotton yarn as warp and yarn from regenerated fibers (Viscose, Bamboo and Modal) as weft having properties similar or better than 100% cotton. Regenerated fibers were taken in order to reduce consumption of cotton and to provide substitute of cotton with use of cotton, bamboo, viscose and Modal. After the completion of research modal was found the best fabric out of four in terms of pilling resistance and drape co-efficient properties.

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Cotton, Viscose, Bamboo, Modal, Warp, Weft, Pilling, Fiber Length, Hairiness, Resilience, Drape Coefficient, Bending Length and Color Fastness etc.

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-Congenital Muscular Dystrophy (CMD) is one of the variants of muscle weakness disorders presenting early in life during infancy and soon after birth, most of these disorders are inherited and linked to specific genes.[1] The global prevalence of muscular dystrophy is 3.6 per 100,000 people.[2] CMDs are characterized by hypotonia, muscle weakness, and delays in achieving motor milestones.[3] There is no exact correlation for this disease in Ayurveda, however, it could be understood as Adibalapravrutta mamsadhatugata vatavyadhi (hereditary anomalies affecting muscle tissues due to vitiated Vata) Guidelines for the multidisciplinary care for Duchenne muscular dystrophy that address obtaining a genetic diagnosis and managing the various aspects of the disease have been established. In addition, a number of therapies that aim to restore the missing dystrophin protein or address secondary pathology have received regulatory approval and many others are in clinical development

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dystrophin, girdle, muscular dystrophy, shashtishali pind sweda,,

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Computer Network specialists are in great demand these days. Determining the effectiveness of Cisco Packet Tracer as a teaching aid is the aim of this study. Colleges of higher learning believe that this state of affairs is essential to guaranteeing that each candidate has sufficient IT skills. Tools for network simulation could be recommended as a remedy for this problem because network design requires knowledge of both theory and practical application.

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Computer Networking, IT Security, Firewall

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Parikartika is one of the most painful and commonest condition in Gudagata Vikaras affecting majority of the population in the world1. Acharya's have explained it as one among the Vamana Virechana Vyapat2,3 and Bastivyapat4. It is caused by Sthana Samshraya of vitiated Vata & Pitta Dosha in Gudapradesha, leading to Kartanavat Vedana and Daha in Gudapradesha. It can be correlated to fissure-in-ano based on signs and symptoms5. In the Chikitsa of Parikartika, Acharyas have mentioned Madhura, Kashaya Rasa Sneha Yukta Dravya's in the form of Piccha Basti, Anuvasana Basti6, Pichu, Varti & Lepa, which pacifies Vata and Pitta Dosha's. Acharya Sushrutha has mentioned Anuvasana Basti with Grithamanda & Yastimadhu Taila in Parikartika7. Acharya Sushrutha has mentioned Pichu Prayoga in the context of Shashti Upakrama8, in the management of Vrana. Gandhaka Druti9 is mentioned in Rasa Ratna Samucchaya in the context of Uparasas, is having Vedanasthapaka and Vranaropaka properties, so it has been selected in the treatment of Parikartika. Hence the present study is under taken to evaluate and compare the efficacy of Gandhaka Druti Pichu and Yastimadhu Taila Pichu in the management of Parikartika w.s.r to Acute Fissure-in-Ano.

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Parikartika, Fissure in Ano, Gandhaka Druti Pichu, Yastimadhu Taila Pichu, Vrana.

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??????? ?????? ???????? ?????????????? ?????? ????????????? ????????????????. ???? ???? ??????? ????????? ??????????? ???????????????. ?????? ??????? ???? ????????? ???????????? ??????? ???????? ??????????? ?????? ????????????????? ??????????????? ????????? ???????? ???????????. (????????? ??????, 2019; ??????, 2020). ????????? ??????? ???????????? ??????????? ????? ?????????? ???? ?????????? ???? ????????????? ??????? ??????????????? ????????? ????????? ?????? ??? ???????? ??????? ????????????? ???????? ????????????? (????????, 2020). '??????? ????????? ????????? ?????????' ??????? ???????? ??????? ???????? ????????????? ?????????? ????????? ?????? ???????? ??????????? ????????? ??????????.

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In this research, we developed and evaluated a novel flaxseed-based hairl mask .containing tulsi (holy basil) and garlic oils aimed at addressing hair diseases like candidiasis. Tulsi is renowned for its diverse therapeutic properties like vitamin K content, antioxidant benefits, and its ability to stimulate hair growth. Garlic, another important component, has antimicrobial properties and contains selenium, which aids in eliminating scalp bacteria and enhancing blood circulation for improved hair growth. Tulsi and Garlic were selected as they show no or minimum side effects. Flaxseed contributes to hair nourishment and smoothing effects, complementing the therapeutic properties of tulsi and garlic. The formulation involves carbopol 934 at varying concentrations (1% to 2%) as gelling agent, while tulsi and garlic oils were incorporated at concentrations of 2%, 5%, and 8. Out of the nine formulations tested, F8 emerged as the most promising, demonstrating superior performance and stability over an extended duration. This report presents the findings of a comprehensive study involving Design of Experiments (DOE), preliminary testing, texture analysis, zeta potential measurements, and freeze-thaw evaluations. The developed formulation have the potential of incorporating Ayurvedic principles into cosmetic formulations, leveraging the synergistic effects of traditional ingredients to combat specific hair ailments like candidiasis. The developed flaxseed hair mask offers a promising alternative in the realm of natural hair care products, with potential implications for broader cosmetic applications rooted in Ayurvedic knowledge.

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flaxseed, tulsi (Ocimum sanctum), garlic (Alluvium sativum), carbopol, hair mask

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