Volume 13 | Issue 6 |

 Abstract

The present study investigates the interaction effect of school type (government and private) and socio-emotional climate (rich and poor) on the academic achievement of students. The socio-emotional climate of a school, characterized by the quality of interpersonal relationships, emotional support, and overall psychological environment, plays a critical role in shaping students' learning outcomes. Employing a 2x2 factorial design, the study examines how the combination of school type and socio-emotional climate influences students' academic performance. A sample of students from government and private schools was selected, and their academic achievement was measured in relation to their school's socio-emotional climate. The data were analysed using Two-Way ANOVA to explore the main effects of school type and socio-emotional climate, as well as their interaction effect. Results revealed a highly significant main effect of school type (F = 1297.12, p < 0.01), with private school students outperforming their government school counterparts in academic achievement. However, the main effect of socio-emotional climate was not significant (F = 1.93, p > 0.05), suggesting that socio-emotional climate alone does not significantly influence academic performance. A significant interaction effect (F = 218.95, p < 0.01) was observed, indicating that the relationship between socio-emotional climate and academic achievement differs by school type. Private school students performed well regardless of the socio-emotional climate, whereas government school students' performance was more adversely affected by a poor socio-emotional climate. The findings underscore the need for targeted interventions in government schools to improve socio-emotional climates and bridge the academic performance gap. The study highlights critical implications for policymakers, educators, and stakeholders in enhancing educational equity and student outcomes.

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Keywords: Socio-emotional climate, school type, academic achievement, government schools, private schools, interaction effect

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This study explores the formulation and evaluation of an herbal hair serum incorporating fenugreek seed and curry leaves extracts, combined with jojoba oil, coconut oil, and vitamin E, to promote hair health. Fenugreek seeds, rich in proteins and nicotinic acid, strengthen hair and prevent hair loss, while curry leaves, high in antioxidants, promote hair growth and prevent premature graying. The serum leverages the anti-inflammatory, antimicrobial, and antioxidant properties of phenolic compounds found in plant extracts. The aim was to prepare and evaluate a preliminary batch of herbal hair serum containing (Trigonella Foenum Graecum) and (Murraya Koenigii) to optimize the formulation. Rationale includes the reduction of dandruff and scalp irritation, prevention of hair thinning and premature graying, deep moisturization, and promotion of healthy hair growth through improved scalp circulation.

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Fenugreek Seeds, Curry Leaves, Natural Ingredients, Herbal Hair Serum

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ABSTRACT In today's context, cultural diplomacy emerged as a strategy to reinforce international relations by promoting mutual understanding, respect and collaboration. This approach, recognized as a type of soft power, has become significant in case of India and Taiwan, where common Buddhist customs form the basis for stronger bilateral connections. Through the encouragement of Buddhist cultural interactions, both countries seek to transcend boundaries and address modern challenges by drawing on the compassionate, wise and morally upright aspects embedded in Buddhist doctrines. Efforts like academic partnerships, cultural events and diplomatic meetings highlight the capacity of Buddhism as a powerful tool for enhancing international relations, resolving conflicts, to overcome cultural barriers, establishing a stage for harmonious cohabitation and joint advancement. This method not only reinforces diplomatic ties but also fosters global peace and stability by highlighting shared values and a collective human experience. This paper will emphasize that leveraging cultural diplomacy particularly through the lens of Buddhism as a means to bridge differences, build trust and work towards common goals.

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Cultural Diplomacy, Soft power, Buddhism, Bilateral, Harmonious

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The Mahakumbh Mela is one of the largest religious gatherings in the world, held every 12 years in rotation among four blest places of India: Prayagraj, Haridwar, Ujjain and Nashik. It is a major Hindu pilgrimage and cultural festival that attracts millions of devotees, saint and tourist from across the globe. The event is founded in ancient mythology and is associated with the legend of the Samudra Manthan, during which drops of blest of amrit fell at the four a mentioned sites. The Mahakumbh Mela involves ritual bathing in the holy rivers, religious, discourses, devotional singing, and mass feeding of the poor. Beyond its religious significance, the mela also represents a complex logistical undertaking and a unique socio-cultural Occurrence. It showcases India's spiritual heritage, cultural diversity, and collective devotion, while also posing challenges related to crowd management, sanitation, and infrastructure. Keywords : Kumbh Mela, Samudra Manthan, Amrit, Moksha, Shahi Snan, Triveni Sangam, Paush Purnima, Mauni Amavasya, Basant Panchami, Maghi Purnima, Maha Shivratri.

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Kumbh Mela, Samudra Manthan, Amrit, Moksha, Shahi Snan, Triveni Sangam, Paush Purnima, Mauni Amavasya, Basant Panchami, Maghi Purnima, Maha Shivratri.

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Context: Multiple sclerosis (MS) is a progressive demyelinating disease of the white matter of the central nervous system. The disorder is found more commonly in young adulthood, out of which women represent a huge stakeholder group, which is approximately 70% of the total affected population. Common symptoms usually represent general fatigue, muscular weakness, spasticity, ataxia, sensory disturbances, cognitive and autonomic dysfunctions, with a very low level of daily physical activity due to detraining and deconditioning. The study's objective was to determine the effect of the exercise training program as a part of an inpatient rehabilitation program on various systems of the body. Study Designs and Settings: This case report was conducted in the OPD at the Maharashtra Institute of Physiotherapy, Latur, Maharashtra. Methods: A 30-year-old female who was diagnosed case of relapsing remitting multiple sclerosis was referred to our center for outpatient rehabilitation. The patient receives a Structured aerobic exercise programme, Treatment for low back pain, Progressive resistance exercises (PRE) for improving the strength of upper and lower limbs, Kegel's exercises for PFM strengthening, and Exercises to improve the strength of core muscles. The intervention was given 5 days a week for 8 weeks. Outcome measures was 6 minute walk test (6MWT), PFT, Peripheral oxygen saturation (SPO2), fatigue severity scale, numerical pain rating scale NPRS, Heart Rate (HR), Systolic and Diastolic blood pressure (B.P), Berg Balance Scale for balance assessment, Multiple Sclerosis Quality Of Life(MSQOL)-54 Instrument. Results: 6 minutes walking distance, which is increased by 60 meters. A MIC adjusted for improvement of 19.7 m (95%CI 9.8-30.9 m) was found in one study, improvement of 19.7 m (95%CI 9.8-30.9 m) was found in one study, There was no significant changes was observed in PFT FEV1:85 & FEV1/FVC RATIO:0.8 which was improved by FEV1:90 & FEV1/FVC RATIO:0.8, Fatigue severity scale score was increased by 16 points, NPRS 8 before intervention which was reduced to NPRS 3 after 8 weeks, MSQOL-54 score was increase from 20/30 to 25/30, Berg balance scale score was increased from 51/56 to 54/56, Pelvic floor muscle function would not show any significant improvement. Conclusion: findings have concluded that managing the MS patient as a whole and considering every system can lead to significant improvement in as a therapeutic protocol to restore patient mental health, improve the general QoL, and fatigue that occurs in this patient.

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Multiple sclerosis, Exercises, Aerobic exercises.

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This study has efficient thermal management of electric vehicle (EV) motors is essential for ensuring optimal performance, reliability, and service life. This study models and simulates an EV motor cooling system using MATLAB Simscape, incorporating critical components such as the motor, cooling channels, pump, radiator, and thermal sensors. The model captures the heat generation and dissipation dynamics within the motor under realistic operating conditions. Both passive and active cooling strategies are analyzed across varying load and ambient conditions to evaluate thermal response and efficiency. Leveraging Simscape's multi-domain capabilities, the study integrates thermal, fluid, and mechanical subsystems to enable system-level analysis. Simulation results highlight the influence of flow rate, coolant properties, and ambient temperature on motor temperature regulation. The developed model provides a robust platform for optimizing EV motor cooling designs, minimizing thermal stress, and enhancing overall energy efficiency.

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Thermal Ports, Heat Transfer, Coolant Loop, Pump, Fan, Fluid Properties, Driving Cycle, Motor Losses, Temperature.

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Aravind Adiga's novels are a compelling exploration of contemporary India's socio-economic realities, portraying the stark divide between wealth and poverty, ambition and morality, and tradition and modernity. The White Tiger critiques the illusions of the Indian success story through Balram Halwai's journey from servitude to ruthless entrepreneurship. Selection Day interrogates the commodification of talent and the psychological pressures of ambition within India's cricket-obsessed culture. Last Man in Tower examines urbanization and capitalist greed, showcasing the clash between ethical resistance and financial desperation. This paper explores the recurrent themes of economic disparity, corruption, ambition, and ethical dilemmas in Adiga's works, positioning them as critical commentaries on India's evolving socio-political landscape.

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Social Realism, Capitalism, Corruption, Urbanization, Class Struggle, Ambition, Ethical Dilemmas.

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Metabolic Syndrome (MetS) is a complex cluster of interrelated metabolic abnormalities, including central obesity, insulin resistance, hypertension, and dyslipidemia. It significantly increases the risk of cardiovascular diseases and type 2 diabetes mellitus. Ayurveda identifies such systemic imbalances through the lens of Kapha and Medo dosha aggravation, Agni dysfunction, and Ama accumulation. Conditions akin to MetS have been described under Medoroga, Sthoulya, and Prameha. Panchakarma, the bio-purification therapy in Ayurveda, serves not only as a detoxification process but as a curative intervention targeting the root cause of dosha imbalance. This article explores the Ayurvedic understanding of Metabolic Syndrome and elaborates on Panchakarma modalities--Vamana, Virechana, Basti, Udwartana, and Langhana--as holistic strategies for prevention and management.

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Metabolic Syndrome, Sthoulya, Prameha, Medoroga, Panchakarma, Vamana, Virechana, Basti, Ayurveda

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Rasa Dhatu, the first of the seven Dhatus in Ayurvedic physiology, plays a foundational role in nutrition, circulation, and systemic detoxification. As the product of the digestion of Ahara Rasa, it nourishes successive Dhatus and maintains tissue homeostasis. In the context of contemporary toxicology, Rasa Dhatu is analogous to plasma and lymph, which serve as major pathways for distribution, filtration, and removal of toxins. According to Kriya Sharir, impaired Agni and Srotodushti of Rasavaha Srotas can lead to Ama accumulation and systemic toxicity. Panchakarma therapy, particularly Vamana, Virechana, Raktamokshana, and Basti, plays a pivotal role in restoring Rasa Dhatu integrity and promoting effective detoxification. This article presents an in-depth examination of Rasa Dhatu physiology in detoxification, correlates it with modern biomedical concepts, and elaborates on Panchakarma inputs for its revitalization.

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Rasa Dhatu, Kriya Sharir, Detoxification, Rasavaha Srotas, Panchakarma, Vamana, Virechana, Basti, Ama

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Electronic gadget addiction has emerged as a pressing concern among students, with far-reaching consequences for their mental health, academic performance, and social relationships. The pervasive nature of gadget addiction, fueled by the widespread availability and accessibility of electronic devices, has led to a growing need for effective predictive models and targeted interventions. This study addresses this critical need by developing a machine learning model to predict gadget addiction among students aged 18-25, leveraging demographic, behavioral, and psychological characteristics. The predictive model, built using decision trees and random forest algorithms, identifies screen time, frequency of gadget use, anxiety, and depression as significant predictors of gadget addiction. The random forest algorithm emerges as the most accurate predictive model, underscoring its potential in identifying high-risk students. These findings have profound implications for educators, counselors, and parents, enabling them to pinpoint vulnerable students and provide personalized support. The predictive model developed in this study can serve as a valuable tool in promoting students' well-being and productivity. By identifying high-risk students, educators and counselors can design targeted interventions, such as counseling sessions, workshops, and awareness programs, to mitigate gadget addiction. Parents can also utilize the model to monitor their children's gadget use and provide guidance on responsible technology habits. Moreover, this study's findings can inform the development of evidence-based policies and programs aimed at reducing gadget addiction among students. Educational institutions can establish guidelines for responsible gadget use, incorporate digital literacy into their curricula, and provide resources for students struggling with gadget addiction.

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Gadget addiction, mobile usage, prediction, machine learning model, Random Forest Algorithm.

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Creative Commons Attribution 4.0 and The Open Definition