Volume 13 | Issue 5 |

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Bhartiya Siksha Me Swa - Viniyam Adhigam Ka Vikash : Vaidik Kal Se Adhunik Kal Tak

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Bhartiya Siksha Me Swa - Viniyam Adhigam Ka Vikash : Vaidik Kal Se Adhunik Kal Tak

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This comprehensive study within Kerala's educational framework investigates the complex interplay between social intelligence, academic effectiveness, and student performance among college professors. The research employed mixed methodologies to illustrate a significant and positive relationship between social intelligence and teaching effectiveness. It enhances the influence of student satisfaction on teaching efficacy and the well-being of educators. The association's sagacity is evidently manifest. Educators with advanced social intelligence excel in creating inclusive and engaging learning environments, significantly influencing student behaviour and promoting a harmonious classroom atmosphere. These findings highlight the crucial importance of social intelligence in formulating effective teaching methodologies and enhancing the overall educational experience in culturally diverse institutions in Kerala. Consequently, this study holds substantial importance for educator training and professional development. It aims to equip educators with the interpersonal and emotional intelligence necessary to enhance students' lives and promote their success in varied educational settings.

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Social Intelligence, Job Performance Student Behaviour, Student Satisfaction.

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In this paper, we describe the design of an Automated Content Platform which employs multi-agents systems for content collection, processing, and distribution. The described work merges domain knowledge of Large Language Models (LLMs) with practical deployment approaches that are bounded by scalability, modularity, and efficiency. Our approach followed a stepwise procedure starting with a web-scraping-based content acquisition, then proceeding to content summarization with several models including Gemini by Google, followed by distribution through Telegram and email. The components of the architecture are organized into streams, where each is an independent agent of the system, utilizing FastAPI and Streamlit interfaces, MongoDB for data storage, and so forth. Results prove that the platform substaially meets the requirements for efficient content acquisition from multiple sources, automated summarization of a wide range of topics, and prompt distribution through numerous channels. User testing with 25 participants indicated 87% satisfaction with the quality of summaries provided and 92% with usability of the platform. The measured response times were 3.2 seconds to retrieve content and 4.5 seconds to provide a summary of the retrieved content. The work provided in this document adds to the existing body of knowledge by showing that automated content processes can be further enhanced by multi-agent frameworks focusing on system agility and flexibility in operations.

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Content Automation, Multi-Agent Systems, Natural Language Processing, Web Scraping, Content Distribution, Large Language Models, Retrieval-Augmented Generation

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Medical datasets often have a skewed class distribution and a lack of high-quality annotated images. However, deep learning methods require a large amount of labelled data for classification. In this study, we present a few-shot learning approach for the classification of ultrasound breast cancer images using meta-learning methods. We used prototypical networks and model-agnostic meta-learning (MAML) algorithms as meta-learning methods. The breast ultrasound images (BUSI) dataset, which has three classes and is difficult to use in meta-learning, was used for meta-testing in a cross-domain approach along with other datasets for meta-training. Our proposed approach yielded an accuracy range of 0.882-0.889, achieved by implementing the ResNet50 backbone with ProtoNet in a 10-shot setting. These results represent a significant improvement ranging from 6.27 to 7.10% over the baseline accuracy of 0.831. The results showed that ProtoNet outperformed the MAML method for all k-shot settings. In addition, the use of ResNet models as the backbone network for feature extraction was found to be more successful than the use of a four-layer convolutional model. Our proposed method is the first attempt to apply meta-learning for few-shot classification in the BUSI dataset while providing higher accuracy compared to deep learning methods for medical images with small-scale datasets and few classes. The methodology used in this study can be adapted to other datasets with similar problems.

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Few-shot classification, meta learning, MAML, breast cancer.

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Legal profession is a pious profession. It is regulated by the Bar Council of India which has been established under Section 4 of the Advocates Act, 1961. Advocates are the officers of the court who facilitate the administration of justice by assisting the courts during litigations in the courts. The goal of the administration of justice is to provide justice to the people of India and Advocates play a vital role in providing justice to the people. The conduct of the Advocates is regulated by the Bar Council of India which prescribes duties and responsibilities of the Advocates to be followed by them. The Bar Council of India has the disciplinary jurisdiction over Advocates. This research article is prepared with aim to study the professional conduct and etiquettes required to be followed by the advocates. Doctrinal method of research is applied in completing this research article.

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Legal Profession, Justice, Litigants, Court, Privileged etc.

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The rise of innovative retail solutions has created a need for more efficient and inclusive shopping systems, particularly for individuals with disabilities who often face challenges in traditional supermarkets. This project introduces an automated smart shopping cart designed to simplify the shopping experience, reduce checkout delays, and improve accessibility for every user. The system features a self-guided cart that assists shoppers in navigating the store and selecting products. Products are automatically scanned and identified, displaying essential details such as name and expiry date on a screen. The cart supports cashless payments through a secure digital link, eliminating the need for manual billing. Additionally, voice command functionality ensures ease of use for individuals with mobility or visual impairments. This e-retail cart improves convenience and reduces wait times by integrating automation with an easy-to-use design, fostering a more inclusive shopping experience. Its practical and scalable approach makes it a promising solution for modern retail spaces aiming to improve customer experience while embracing technological advancements.

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Accessibility, Automated Checkout, Digital Payments, Inclusive Design, Retail Innovation.

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Tetra-substituted imidazole drugs were designed as potential inhibitors against Estrogen receptor ? (ER?) which is a key target for breast cancer therapy. The ADME properties of the designed drugs were analysed using Lipinski's rule of five. Molecular operating environment (MOE), an integrated Computer-Aided Molecular Design Platform, was used to perform the docking study and the analysis of the protein-ligand interaction. The designed drugs displayed a binding energy ranging from -7.15 to -8.53 kcal/mol. Tamoxifen was used as a reference inhibitor against Estrogen receptor ?. Among the 13 designed drugs, the 6-(6-(1H-pyrazol-1-yl)pyridin-3-yl)-N-(3,4-dimethoxyphenyl)imidazo[1,2-a]pyridine-2- carboxamide (10) fulfills the Lipinski's rule of five and showed good binding interaction with the target receptor and can become a potential alternative to the existing ER? inhibitors.

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Imidazole; MOE ; Docking; ER? inhibitor; Anticancer activity

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Abstract Naya Raipur, Chhattisgarh's planned capital, is a biodiversity hotspot within a semi-arid landscape, balancing urban development with ecological preservation. This thesis investigates the avian diversity of Naya Raipur, documenting species richness, habitat preferences, seasonal variations, and ecological roles. Field surveys from Jan 2025to Apr 2025 across wetlands, forests, urban parks, and grasslands recorded bird species, including 30 residents, 15 migrants, and 7 seasonal visitors. Key habitats--Sector 13, Tuta Sector 23, Sector 24 , Rakhi Forest, and Sector-27Park--support diverse avifauna, from ubiquitous house sparrows (Passer domesticus) to rare migratory waders like the Using point-count surveys and transect walks, species abundance was recorded. Major threats include urbanization (10% wetland loss), pollution, and habitat fragmentation. Conservation recommendations include wetland restoration, green corridors, and community engagement through birdwatching initiatives. This study underscores Naya Raipur's ecological significance and provides a baseline for future ornithological research and urban conservation planning.

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Keywords: Avian diversity, Naya Raipur, Chhattisgarh, habitat preferences, biodiversity indices, conservation, urbanization.

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This paper explores the elements of magic realism in Uday Prakash's novella Paul Gomra ka Scooter, where the boundaries between the real and the surreal dissolve into a richly layered narrative. The story traces the life of Paul Gomra, a failed Hindi poet and government clerk, whose decision to buy a scooter becomes a turning point in his otherwise uneventful existence. What follows is a series of fantastical events--visions of tribal warriors taming an iron animal, dreamlike journeys across Delhi, absurd public speeches, and ghostly appearances on GT Road--all merging the ordinary with the extraordinary. The scooter, standing like a mute iron animal, becomes a symbol of technology, aspiration, and eventual ruin. The narrative critiques post-liberalization India, highlighting the absurdity, marginalization, and existential despair of small-town intellectuals. Magic realism is used not to escape reality but to expose its deeper, disfigured truth.

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Magic Realism, dream sequence, hallucination, alienation, despair.

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Abstract: This research was to formulated and evaluate effervescent tablet of Shankh Bhasma extract that would mask the peppery taste of herbal drugs and increase the dissolution, responsible for hastening the onset the action. Citric acid, Sodium bicarbonate and other formulation ingredients were used to formulate effervescent tablet using the wet granulation method. Shankh Bhasma and other API was prepared in four different formulation (F1- F5) and evaluation test for flow properties, pH and effervescence time were carried out. The outcomes demonstrated the formulated tablet have good parameters properties. The effervescent time for all four formulas is under three times. According to the observation, formulation F5 was found be optimized because it has best drug release (97.98 %) and effervescent time of about 55 sec.

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Stomach acidity, Sodium bicarbonate, citric acid and Gastrointestinal tract.

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