Volume 13 | Issue 10 |

 Abstract

This study examines the relationship between teaching competency and professional dedication among Higher Secondary School teachers in the Puducherry regions. A sample of 300 teachers was selected using stratified random sampling to ensure representation across demographic and institutional categories. Standardized tools were used to measure teaching competency and professional dedication, and data were analyzed using descriptive statistics, t tests, and ANOVA. Results indicated high overall levels of competency (M = 78.4) and dedication (M = 82.1). Significant differences in competency were found across gender, age, and teaching experience, while dedication varied by type of school and qualification. A positive correlation emerged, highlighting their interdependence.

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Keywords: Teaching competency, professional dedication, Higher Secondary School teachers

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In today's hyper connected global marketplace, the ability of marketing strategies to remain relevant is a decisive factor for organizational success. Guerrilla Marketing Insights: Redefining Relevance in a digital era explores how the concept of "Guerrilla Marketing" can serve as a unique framework to align brand value, customer expectations, and digital transformation. The study emphasizes the growing significance of consumer-centric approaches, data-driven decision-making, and digital platforms in shaping sustainable marketing strategies. By integrating global case studies, emerging technologies, and cultural adaptability, this research highlights how Guerrilla Marketing redefines traditional marketing paradigms into more dynamic, inclusive, and innovation-driven models. The findings suggest that marketing relevance in the digital era requires not only technological adoption but also a holistic understanding of consumer behavior across borders. The paper contributes to international marketing discourse by providing actionable insights for businesses, policymakers, and academics seeking to enhance market competitiveness, brand resonance, and customer engagement in an era defined by digital disruption.

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Key Words: Guerrilla Marketing, digital transformation, marketing relevance, consumer engagement, global strategies, innovation.

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Ayurveda is the holistic system of medicine which gives equal importance to preventive and curative aspects of treatment. In Ayurveda Vandhytva (Infertility) as an inability to reproduce naturally. Infertility is a medical conditions described by the failure to achieve a clinical pregnancy after 12 month or more of regular unprotected sexual intercourse. In present modern era, female infertility is raised to the alarming extent due to diet and lifestyle modification. Form a physiological perspective infertility as a disturbance in the normal functioning of the Hormones, structural abnormalities and sperm or egg quantity to overcome this Rasayan therapy is the Ayurvedic management that focuses on rejuvenation and restoration of the body's natural functioning, mainly in the reproductive system.

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Infertility, Agni, Rasayan, Ama, Dhatu, Artava.

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ABSTRACT Attention-Deficit Hyperactivity Disorder (ADHD) is recognized as the most prevalent neurobehavioral condition in childhood. It is a multifactorial disorder of brain function marked by the triad of inattention, hyperactivity, and impulsivity. Genetic predisposition plays a major role in its causation, often influenced by environmental triggers. Although it can occur across all age groups, school-aged children are most frequently affected. In contemporary medicine, management strategies primarily include stimulant medications along with psychotherapeutic interventions. Ayurveda explains that any illness arises from the imbalance of either sharirika (physical) or manasika (psychological) doshas, or both. The characteristic symptoms of ADHD indicate involvement of vata dosha on the physical level and raja dosha on the mental plane. Shirodhara, an Ayurvedic therapeutic procedure described for mental health disorders, holds potential as a supportive intervention in behavioral conditions like ADHD. Considering its calming and stabilizing effect on the mind, Shirodhara may serve as an effective complementary approach in the management of neurobehavioral disorders.

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ADHD, Inattention, Hyperactivity, Impulsivity, Shirodhara

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Dental visits are often accompanied by psychological distress, with anxiety, stress, and depression playing significant roles in shaping treatment experiences. Although extensive research has been conducted on dental anxiety, limited attention has been given to the broader psychological dimensions, especially among women who are known to experience heightened vulnerability. This study investigates the prevalence and patterns of psychological distress among female dental patients in Bengaluru Urban, integrating both quantitative and qualitative approaches. Using the Depression, Anxiety, and Stress Scales (DASS-21), semi-structured interviews, and demographic profiling, the study highlights correlations between sociodemographic variables and distress levels. Findings reveal significant associations between younger age groups, lower educational levels, infrequent dental visits, and higher psychological distress. The study underscores the importance of integrating psychological screening into dental practice and advocates for a holistic approach that bridges dentistry and mental health in India.

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Psychological distress, dental anxiety, DASS-21, stress, depression

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 Abstract

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Neighbourhood First Policy; India's Soft Power Diplomacy; Culture; Education; Humanitarian; and Developmental Assistance.

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The proliferation of artificial intelligence (AI) in retail has transformed customer interactions from transactional to highly personalized experiences. This study aims to investigate the direct and indirect effects of AI-powered personalization on consumer purchase intention within an omnichannel retail context. It specifically examines the mediating roles of perceived value and consumer trust. A structured questionnaire was developed and administered online to a sample of 327 Indian consumers who have experienced personalized recommendations on e-commerce platforms and in-store digital kiosks. Data analysis was conducted using SPSS for descriptive statistics and SmartPLS 4.0 for Structural Equation Modeling (SEM) to test the proposed hypotheses. The results indicate that AI-powered personalization has a significant positive direct effect on purchase intention. Furthermore, perceived value and trust were found to be significant partial mediators. Perceived value emerged as the stronger mediator, suggesting that consumers are primarily driven by the functional benefits of personalization. The study is limited by its cross-sectional design and geographic focus on urban Indian consumers. Future research could employ longitudinal designs and explore cultural differences. The findings offer practical implications for retailers to invest in AI systems that enhance perceived value (e.g., through relevant product discovery) while being transparent to build trust. This research contributes to the literature by integrating Technology Acceptance Model (TAM) and Stimulus-Organism-Response (S-O-R) framework to provide a holistic model that explains how personalization influences purchase decisions through key psychological mechanisms (perceived value and trust) in an omnichannel setting.

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Artificial Intelligence, Personalization, Omnichannel Retail, Purchase Intention, Perceived Value, Consumer Trust, Structural Equation Modeling

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A comparison of the perceptions of B.Ed. and Shiksha Shastri student teachers regarding the challenges faced in implementing the National Education Policy 2020

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A comparison of the perceptions of B.Ed. and Shiksha Shastri student teachers regarding the challenges faced in implementing the National Education Policy 2020

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In today's world, people spend a lot of time online using phones, social media, and other digital platforms. While these tools can help us connect, they can also harm mental health by causing stress, loneliness, or anxiety. Many people who need mental health support do not get it due to stigma, high costs, or lack of access to professionals. Artificial Intelligence (AI) could help by detecting emotions through online activity, messages, or speech and by offering quick support. But there are concerns about how accurate AI really is, whether it can be trusted, and how it might affect privacy. This raises an important question: Can AI be used safely and effectively to support people's emotional well-being in the digital age?

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Artificial Intelligence, Mental Health, Emotional Well-being, Digital Mental Health, AI Therapy, Mental Health Apps, Emotional AI, AI and Privacy, Online Therapy, Future of Mental Health

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Abstract: In today's digital era, networks are highly important but face growing threats such as malware, phishing, and denial-of-service attacks. Traditional intrusion detection systems, which rely on signatures, fail to detect zero-day and evolving attacks. To address this, the research proposes an intelligent IDS that uses machine learning models like SVM, Random Forest, and Logistic Regression to classify traffic as normal or malicious. The system includes real-time monitoring, automated classification, database logging, and an interactive web dashboard. Its performance is validated using metrics such as accuracy, precision, recall, and F1-score, showing strong robustness. Overall, the proposed IDS achieves higher accuracy and scalability, making it suitable for enterprises, institutions, and critical infrastructures.

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Intrusion Detection System, Machine Learning, Cybersecurity, Random Forest, Support Vector Machine, Logistic Regression

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