Volume 13 | Issue 8 |

 Abstract

Abstract: This study investigates the evolving contours of indigeneity in Assam through the lens of tribal politics. It explores how tribal communities have historically constructed and asserted their indigenous identity, shaping their collective consciousness and socio-political agency. The research traces the trajectory of tribal political mobilization, focusing on key demands around land rights, autonomy, and representation. It further analyzes the impact of state interventions particularly the Sixth Schedule and autonomous councils on tribal autonomy and the institutionalization of indigeneity. By examining these dynamics, the study offers critical insights into how tribal politics continues to influence Assam's broader socio-political landscape.

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Keywords: indigeneity, tribal politics, Assam, land rights, autonomy, Sixth Schedule, autonomous councils, political mobilization, tribal identity, socio-political landscape.

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The present study was planned to find out the guidance needs of male and female adolescents studying in Jawahar Navodaya Vidyalayas of Himachal Pradesh with respect to Physical, Social, Psychological, Educational and Vocational Area. The students studying in Jawahar Navodaya Vidyalayas of Himachal Pradesh were selected for study. Data was collected with the help of standardized tool viz. Guidance Needs Inventory (GNI) developed by Dr. J.S Grewal[1]. The statistical technique like Mean, SD and the 't'-test were employed for data analysis. The finding of the study reported no significant difference in Physical, Social, Psychological, Educational, Vocational and Total areas of guidance needs of Male and Female adolescents studying in Jawahar Navodaya Vidyalayas.

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Physical Guidance, Social Guidance, Educational Guidance

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Background: Essential hypertension continues to be a major risk factor for cardiovascular morbidity and mortality, affecting almost half of the adult population worldwide. Acupuncture at specific cities, such as Liver 3 (LV3), has shown promising results in blood pressure management, given the well-established effect of pharmaceutical interventions. Case Presentation: A 64-year-old man who had just been diagnosed with essential hypertension had daily acupuncture treatments on both LV3 sites for 21 days. The patient did not take any medications, had no significant medical history, and favoured non-pharmacological management. Methods: Blood pressure was measured immediately before and after each Acupuncture session. Statistical analysis included paired t-tests, linear regression, and effect size calculations using Cohen's d. Results: Baseline blood pressure of 180/100 mmHg decreased to 163/90 mmHg by day 21, representing reductions of 17 mmHg systolic and 10 mmHg diastolic pressure. Mean blood pressure reduction per session was 1.95 mmHg systolic and 2.33 mmHg diastolic. Paired t-test analysis revealed highly significant differences (systolic: t = 7.192, p < 0.000001; diastolic: t = 4.121, p < 0.001) with moderate effect sizes (Cohen's d = 0.387 and 0.476, respectively). Linear regression demonstrated consistent downward trends throughout the intervention period. No adverse events occurred. Conclusion: Acupuncture at LV3 over 21 days resulted in clinically significant blood pressure reduction in this patient with essential hypertension. These findings support existing evidence for LV3 acupuncture as a potential complementary therapy for hypertension management, though larger controlled trials are warranted.

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Acupuncture, Liver 3, LV3, Taichong, essential hypertension, blood pressure, traditional Chinese medicine, case study

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This study investigates investor behavior towards bond market investments in India, focusing on the influence of fintech platforms, ESG-oriented green bonds, and investor financial literacy in enhancing retail participation. Using a sample of 200 respondents across Karnataka, the study applies descriptive statistics, ANOVA, and regression analysis to examine the impact of demographic, behavioral, and technological factors on investor preferences and repeated investment decisions. Findings reveal that factors such as age, income, digital readiness, and investor awareness significantly affect bond investment choices, while fintech tools and ESG-focused green bonds foster confidence and participation. The study highlights gaps in financial literacy and digital infrastructure in smaller cities, underscoring the need for targeted digital education, regulatory streamlining, and accessible fintech platforms to expand inclusive and sustainable bond market participation in India.

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Bond Market, Retail Investors, Fintech, Green Bonds, ESG, Investor Awareness, Financial Literacy, India.

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The prompt accurate identification of leaf diseases are crucial for enhancing agricultural productivity and mitigating crop losses. This study introduces a model based on Convolutional Neural Networks (CNN) that utilizes transfer learning through EfficientNet-B0 for the intelligent detection of plant leaf diseases. The model was trained and validated using a carefully curated dataset comprising over 10,000 images across various disease categories. We conducted a comparative analysis with three advanced models: Vision Transformer (ViT), ResNet-50. The experimental findings indicate that our proposed model achieved a remarkable classification accuracy of 97.8%, surpassing ViT's 94.2%, ResNet-50's 92.6%. The system's precision, recall, and F1-score were recorded at 98.1%, 97.5%, and 97.8%, respectively. Additionally, the model demonstrates quicker inference times and lower computational requirements. This research presents an effective and scalable solution for real-time implementation in smart agriculture applications, suitable for mobile or embedded systems.

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Convolutional Neural Networks (CNN), Leaf Disease Detection, EfficientNet-B0, Transfer Learning, Smart Agriculture, Deep Learning.

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Health issues like non-communicable diseases (NCDs), obesity, mental health problems and sedentary livelihood of a majority of population in the world often pose a massive threat to the global health and economy. In order to address this emerging issue, G20 nations have been found to encourage the inclusion of cost-friendly approaches like physical activities and sports in the daily lives of people to foster the economy and well-being of their population. This study primarily focuses on comparison of health issues of different types and strategies or health policies undertaken by G20 nations in order to incorporate physical activity and sports in educational institutions and public health sectors. Several barriers pertaining to the promotion of physical health like rapid urbanization, limited accessibility of people to sports facilities alongside cultural and socio-economic issues have been discussed in great detail with emphasis on certain health policies that have been successfully implemented. However, there are still a few challenges faced during policy administration in the nations which have been brought to attention simultaneously and specific recommendations are suggested to overcome them. This paper strongly supports the preparation of proper health policy frameworks for effective global health outcome. Promotion of healthy living standard in people is facilitated by the inclusion of physical activity and sports in school curriculum and at workplace with development and easy accessibility of public infrastructure and sports facilities alongside raising public awareness through discussions in G20 forums with an aim to provide a sustainable solution to emerging health issues.

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Healthy lifestyle, economy, well-being, policies, sustainability

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5F's, knowledge, children, effectiveness, VATP.

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In recent years, there has been a notable increase in the interest surrounding machine learning techniques within the healthcare sector, particularly for their capacity to forecast diseases using patient data. This paper introduces a symptom-based disease prediction system that employs three machine learning algorithms--Support Vector Classifier (SVC), Gaussian Naive Bayes, and Random Forest Classifier. The model is trained on a carefully curated dataset comprising 4920 patient records linked to 41 distinct diseases and 132 symptoms utilized as predictive features. Users must provide at least three symptoms, as depending on a single symptom does not produce reliable or accurate predictions. Utilizing the chosen symptoms, the system forecasts the most likely disease, serving as a valuable preliminary screening tool. This framework offers a practical, cost-effective, and accessible approach for early-stage disease prediction and bolsters ongoing initiatives to incorporate machine learning into healthcare support systems.

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Disease prediction, Machine learning, Random Forest, Support Vector Classifier, Gaussian Naive Bayes, Symptom-based diagnosis, Healthcare, Gradio interface

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Tribal athletes, though often naturally active and physically resilient, face significant nutritional disadvantages rooted in socio-economic and cultural disruptions. These deficiencies, particularly in key nutrients like iron, calcium, protein, and B vitamins, undermine their athletic development and competitive performance. This study synthesizes findings from tribal regions in India, including dietary intake, anthropometric measurements, and observed performance metrics, to examine how undernutrition among tribal athletes impairs endurance, muscle strength, injury recovery, and overall physiological function. It also recommends culturally relevant interventions such as the reintroduction of traditional diets, nutrition education, and structural food policy reforms. Addressing these challenges is essential not just for sports equity but for the holistic well-being and empowerment of tribal youth in India.

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Tribal athletes, performance metrics, nutrition deficiency, indigenous health, traditional diets

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This research paper deals with the unconventional practice of Parag Tandal, an Indian artist belonging to the Koli community of Maharashtra. He uses ceramic as a critical and conceptual material which is rooted in socio political narratives. Instead of adhering to the traditional techniques of utility, finish and permanence he uses a post ceramic aesthetic in his works and liberates the medium from disciplinary constraints by using other mediums with ceramics. This paper deals with how his practice is unconventional and is shaping the contemporary Indian ceramic discourse.

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Parag Tandal, Contemporary Indian Ceramics, Indian Contemporary Art, Koli community, Dhokra casting, Archival Art, socially engaged Art.

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Creative Commons Attribution 4.0 and The Open Definition