Volume 14 | Issue 5 |

 Abstract

Abstract Cinema is a multisensory medium where sound and cinematography function as core elements of storytelling. Malayalam cinema has gained global recognition for its technical innovation and experimental narrative forms. The film Jallikattu (2019), directed by Lijo Jose Pellissery, stands as a landmark in contemporary Indian cinema for its radical use of audiovisual language. This research paper examines the role of sound design and cinematography in constructing meaning, tension, and sensory overload in Jallikattu. The study analyzes how handheld camera movement, long takes, natural lighting, and immersive soundscapes contribute to the portrayal of chaos, human instinct, and collective violence. Using qualitative film analysis, the paper argues that Jallikattu transforms sound and visual composition into narrative agents rather than supporting elements. The film redefines cinematic realism by creating an experience of controlled chaos and sensory immersion.

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 Keywords

Keywords: Cinematography, Sound Design, Malayalam Cinema, Jallikattu, Audiovisual Narrative, Sensory Cinema, Realism

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This research explores the interdependent relationship between the leadership behaviour and social intelligence of school heads in the Punjab region. This study examined the relationship between leadership behaviour and social intelligence among school heads in Punjab. Using a descriptive survey method, data were collected from 50 government and private school heads through standardized scales. The findings showed no significant difference in leadership behaviour and social intelligence across school management. However, school heads with higher social intelligence displayed better leadership behaviour. The study emphasizes the importance of social intelligence in effective educational leadership and the need for leadership training programs focusing on interpersonal skills.

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 Keywords

Leadership Behaviour, Social Intelligence, Educational Leadership, Interpersonal Skills, Educational Administration.

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Viruddha Ahara refers to incompatible dietary combinations and habits described in Ayurveda. Ayurveda considers Ahara as one of the three pillars responsible for sustaining life and maintaining health.Improper dietary combinations disturb digestion, produce Ama, and initiate pathological changes within the body. Modern dietary patterns involving processed foods, preservatives, junk food, and irregular meal timings strongly resemble many incompatible dietary practices described in Ayurveda.Acharya Charaka elaborately described various forms of Viruddha Ahara including Desha Viruddha, Kala Viruddha, Agni Viruddha, Matra Viruddha, Veerya Viruddha, and Samskara Viruddha. Classical examples include fish with milk, heated honey, curd at night, and incompatible fermented foods. According to Ayurveda, incompatible food leads to Agnimandya, Ama formation, Dosha imbalance, Dhatu Dushti, and Srotorodha. These pathological changes eventually contribute to chronic inflammatory and metabolic disorders. Modern science also recognizes the harmful impact of unhealthy dietary patterns on metabolism, gut microbiota, and immune function. Clinical manifestations include indigestion, allergies, obesity, fatigue, skin diseases, gastrointestinal disturbances, and metabolic syndrome. Long-term incompatible dietary habits may contribute to diabetes mellitus, hypertension, autoimmune disorders, and inflammatory conditions .Ayurveda strongly emphasizes prevention through proper dietary discipline, seasonal regulation, individualized nutrition, and healthy lifestyle practices. Consumption according to digestive capacity, avoidance of processed foods, and maintenance of regular eating habits are considered essential. The concept of Viruddha Ahara demonstrates the preventive and holistic nature of Ayurveda. Modern research supports that unhealthy food combinations and processed diets disturb metabolism and contribute to lifestyle disorders. Therefore, Ayurvedic dietary principles remain highly relevant in modern preventive medicine and nutritional science.

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Ayurveda, Viruddhahara, Incompatible Diet, Dosha ,diseases

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Abstract Purpose This research investigates how remote work impacts personal life satisfaction and job satisfaction of workers in various industries. This study delves into the impact of flexibility, work-life balance, autonomy, communication and organizational support on employee perceptions and satisfaction. Design/methodology/approach A quantitative research design was used and structured questionnaire was utilized and sent to remote and hybrid workers of technology, education, finance, healthcare, and service sectors. A descriptive statistics, correlation analysis, and regression analysis were used to analyze the data to assess the relationship between remote work and employee satisfaction. Findings The results suggest that telework positively affects personal life satisfaction and job satisfaction, as long as the companies employ the proper technology, communication network and flexibility. Employees indicated higher levels of autonomy, lower stress levels related to commuting, and better work-life balance. But for some workers, social isolation, communication difficulties and limited work-life balance had a negative impact on employees' satisfaction. Research limitations/implications This study is based on the self-reported data, and the sample size is relatively small. Longitudinal studies could be conducted and cross-country and cross-culture comparisons of the experiences of teleworkers made. Practical implications To enhance employee wellbeing and productivity in remote working environments, organisations need to put in place structured communication practices, mental health support systems, and flexible work policies. Originality/value This paper adds to the existing body of literature on telework by also exploring the effects of telework on personal life satisfaction and on job satisfaction and provides implications for practice for organizations transitioning to a new way of working.

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Remote work, job satisfaction, personal life satisfaction, work-life balance, employee well-being, flexible work arrangements.

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Bangles are a key feature of cultural and literary imagination among Indian communities and represent femininity, tradition, marital status, and transitions of life cycles. This comparative research paper will discuss two poems that are separated by more than a century: the iconic poem by Sarojini Naidu, 'the Bangle Sellers' (1912), and the modern poem by T. Ramesh Reddy, 'Clay Bangles' (2020). By showing continuities in the description of bangles as a sign of female identity and changes in the accentuation, the study demonstrates a shift in focus, between metaphorical idealized seasons and the traditional domestic role in Naidu to a wider spectrum of life stages, an overt symbolic definition of colour, defensive roles and material anchoring in Reddy. The article builds its argument based on Indian cultural anthropology and literary studies, contending that the two works recognize bangles as essential markers of continuity in socio-cultural transformation that suggest the changing ways Indian womanhood is being represented in postcolonial and globalized environments.

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Clay Bangles, Indian literature, symbolism, femininity, Sarojini Naidu, T. Ramesh Reddy, cultural identity, comparative poetry.

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The National Education Policy (NEP) 2020 marks a paradigm shift in the Indian education system by emphasizing holistic and multidisciplinary development of learners. Moving beyond traditional content-focused approaches, NEP 2020 highlights the importance of cognitive, emotional, and social dimensions of learning. In this context, emotional intelligence (EI) emerges as a crucial competency that supports the realization of holistic development. Emotional intelligence, defined as the ability to perceive, understand, and manage emotions, plays a vital role in shaping students' behavior, learning experiences, and interpersonal relationships.The present paper examines the role of emotional intelligence in achieving holistic development as envisioned in NEP 2020. Adopting a qualitative narrative review approach, the study synthesizes existing literature and policy perspectives to analyze how emotional intelligence contributes to educational transformation. The findings suggest that emotional intelligence enhances socio-emotional learning, promotes student engagement, and supports the development of essential life skills. Furthermore, the paper highlights the importance of integrating emotional intelligence into teacher education and classroom practices to effectively implement NEP 2020.The study concludes that emotional intelligence is not merely an additional skill but a fundamental component of holistic education. Its integration into the educational framework can significantly contribute to the development of well-rounded individuals capable of meeting the challenges of the twenty-first century.

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Emotional Intelligence, NEP 2020, Holistic Development, Socio-Emotional Learning, Education Policy.

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The rapid growth of information and communication technologies has significantly transformed the landscape of academic libraries and information access. In the digital era, search engines have emerged as one of the most widely used tools for retrieving information, especially among students in higher education. Search engines such as Google, Bing, and Yahoo provide quick and easy access to vast amounts of information, making them an essential component of academic research and learning. In this context, understanding how students use search engines within college libraries becomes crucial for improving information services and enhancing academic performance.

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Search Engines, Information Seeking Behaviour, College Libraries, Students, Digital Information Resources, Information Retrieval, User Behaviour, Academic Libraries, Internet Use in Education, E-Resources

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Pain is a common symptom associated with many pathological conditions, and its management remains a major clinical challenge. Conventional analgesics such as NSAIDs and opioids are associated with several adverse effects including gastrointestinal irritation, renal toxicity, and dependency. Herbal drugs offer a promising alternative due to their safety, efficacy, and traditional usage. The present study aims to evaluate the analgesic activity of selected herbal drugs using experimental animal models. The extracts were prepared using standard extraction techniques and screened for phytochemical constituents. Analgesic activity was assessed using models such as the hot plate method and tail flick method. Pain is an unpleasant sensory and emotional experience associated with tissue damage. It involves peripheral and central mechanisms mediated by nociceptors. The study confirms that herbal drugs possess significant analgesic activity. They can be considered as safer alternatives to synthetic analgesics. The herbal extracts showed significant analgesic activity comparable to standard drugs. The activity may be due to phytoconstituents such as flavonoids and alkaloids which inhibit pain mediators. The results demonstrated significant analgesic activity of herbal extracts, suggesting their potential as safer alternatives to synthetic drugs.

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Analgesic, Herbal Drugs, Pain, Phytochemicals, Hot Plate Method

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Machine Learning and Deep learning-based software tools has facilitated the creation of credible face exchanges in videos and images that leave few traces of manipulation, in what they are known as "DeepFake"(DF) videos. Manipulations of digital videos have been demonstrated for several decades through the good use of visual effects, recent advances in deep learning have led to a drastic increase in the realism of fake content and the accessibility in which it can be created. These so-called AI-synthesized media (popularly referred to as DF).Creating the DF using the artificially intelligent tools are simple task. But, when it comes to detection of these DF, it is major challenge. Because training the algorithm to spot the DF is not simple. We have taken a step forward in detecting the DF using Convolutional Neural Network and Recurrent neural Network. System uses a convolutional Neural network (CNN) to extract features at the frame level. These features are used to train a recurrent neural network (RNN) which learns to classify if a video has been subject to manipulation or not and able to detect the temporal inconsistencies between frames introduced by the DF creation tools. Expected result against a large set of fake videos collected from standard dataset.

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Deepfake Detection , Kaggle Dataset, convolutional Neural network (CNN), recurrent neural network (RNN), Machine Learning.

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The present study aimed to compare the level of mental toughness between athletic and non athletic female students enrolled in govt. model residential girls college Bijapur ,cg . Mental toughness, a psychological construct associated with resilience, perseverance, emotional stability, and goal-directed behavior, plays a vital role in academic and physical performance. The collection of data Mental Toughness Questionnaire prepared by Allen Goldberg was administered. The questionnaire was comprised of 60 statement based on handling pressure (20 questions), concentration (17 questions), mental rebounding (14 questions) and winning attitude (9 questions). Each statement has two possible responses i.e. true and false. For the analysis of data, collected by administering the questionnaire to all the subject's t- test was employed at 0.05 level of significant.Their age was ranged 18 to 25 year. Results indicated that athletic students exhibited significantly higher levels of mental toughness compared to non athleticstudents. The findings suggest that the physically demanding nature of sports and activity-based curricula may enhance psychological resilience. Implications for academic counseling, student support programs, and curriculum design are discussed.

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Keywords: Mental toughness, athletic,non athletic ,female players ,college.

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