Volume 13 | Issue 1 |

 Abstract

Tulsi (Ocimum sanctum), often referred to as the "Queen of Herbs," is renowned in ancient texts as a spiritual and healing plant. Widely utilized in Ayurveda, Siddha, Unani, Greek, and Roman medicine, Tulsi is revered for its medicinal properties and is a significant part of Hindu spiritual practices. In sericulture, enhancing the quality of silk Fiber is of paramount importance, as silk is a luxury material with high demand. This study investigates the effect of supplementing mulberry leaves with ethanolic extracts of O. sanctum on the growth and economic parameters of silkworms ( Bombyx mori L.), particularly during the fifth instar. The supplementation significantly improved larval growth, cocoon weight, shell weight, and silk quality compared to the control group. Among the tested concentrations, 5% ethanolic extract demonstrated the most pronounced effects. Feeding silkworms with fortified mulberry leaves resulted in superior commercial traits, indicating that O. sanctum extract can serve as a natural growth enhancer in sericulture. This research highlights the potential of O. sanctum supplementation as an eco-friendly, cost-effective strategy to improve silkworm productivity and silk quality, benefiting the sericulture industry.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ocimum sanctum plant extract, silk parameters, cocoon parameters, silk worm (Bombyx Mori L), larval developments

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project introduces a web-based platform designed to facilitate real-time collaboration among college students. It enables users to create profiles, post collaboration requests, and connect with peers possessing complementary skills for project development. The platform features tools for task management, resource sharing, and progress tracking, alongside a built-in virtual code editor powered by Docker containers for seamless coding and execution. By simplifying team formation and project management, the platform fosters innovation, teamwork, and skill development, enhancing the collaborative learning experience and preparing students for academic and professional success.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Real, Time, Project, Collaboration

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Our research has focused on using a more restricted dataset to devise appropriate deep learning models to identify citrus diseases. Such constructed dataset was achieved by capturing leaf images stricken with diseases such as CYVCV, Canker, and Melanose and encompassing the diversity that real orchards enjoy. Basically our R&D work has used the ResNet-50 platform for developing two new, state-of-the-all data. FdaNet uses wavelet transformations to effectively emphasize attention mechanisms while for HaNet the task has taken place through implementing frequency and channel attention together with convolution kernels for higher feature extraction. Both these models would help in terms of good performance by outperforming current state-of-the-art ventures regarding higher accuracy and reliability.

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The project focuses on using hybrid attention networks and deep learning techniques, such as CNNs, to accurately identify citrus diseases through image processing. It integrates AI and precision agriculture to enhance crop disease management, contributing to smarter and more sustainable farming practices.

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Creative Commons Attribution 4.0 and The Open Definition

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Working remotely has become a hallmark of the contemporary workplace, presenting both obstacles in team chemistry and communication as well as benefits for flexibility. This paper examines the various ways that distant labor affects organizational management, with a focus on managerial techniques, employee productivity, and communication impediments. We offer solutions to these problems by utilizing technology and creating a unified virtual world, drawing on recent research. The results indicate that in order to improve remote cooperation, firms should adopt new tools and strike a balance between flexibility and structured communication.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Titanium metal , Nanoparticles, Ecofriendly, green synthesis

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Creative Commons Attribution 4.0 and The Open Definition

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Thyroid issues, including hyperthyroidism and hypothyroidism, affect millions of people around the globe and are notoriously challenging to diagnose accurately due to the complex interplay of clinical, biochemical, and imaging data. In this paper, we introduce a novel Dynamic Selection Hybrid Model (DSHM) that leverages advanced machine learning techniques to enhance the accuracy, efficiency, and personalization of thyroid treatment. To optimize predictive performance and adapt to evolving clinical data, the proposed model combines the strengths of various machine learning algorithms, such as decision trees, support vector machines (SVM), and deep learning networks, within a dynamic feature selection framework. Our hybrid approach features a two-stage process for selecting relevant characteristics: dynamic filtering and ensemble-based selection. These methods adapt to the available data, ensuring that the most pertinent features are utilized for accurate thyroid diagnosis and treatment recommendations. The model takes into account individual differences in thyroid conditions by responding to emerging data patterns and integrating clinical, laboratory, and demographic information for a more thorough and personalized evaluation. Additionally, the use of ensemble learning enhances robustness and minimizes the risk of overfitting, leading to improved generalization and predictive accuracy. This research not only enhances the role of machine learning in healthcare but also marks a significant advancement in the use of intelligent systems for personalized thyroid treatment, providing a more flexible and dependable solution.

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 Keywords

Thyroid care, machine learning, dynamic feature selection, hybrid model, predictive modelling, medical diagnosis, healthcare analytics, personalized medicine, clinical decision support, ensemble learning, disease prediction, hyperthyroidism, hypothyroidism, support vector machine, decision trees

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Creative Commons Attribution 4.0 and The Open Definition

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This study explores the systemic challenges faced by women and minorities in attaining and thriving in leadership roles. Drawing on industry case studies, statistical trends, and qualitative data from diverse leaders, it identifies key barriers, effective interventions, and the measurable outcomes of inclusive leadership. The research underscores that equity-driven practices foster innovation, improve organizational performance, and bridge societal divides.

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Creative Commons Attribution 4.0 and The Open Definition

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Systemic challenges, Women, Minorities, Statistical trends, Qualitative data, Diverse leaders, Effective interventions

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Critical study of various concepts of personality in Shaddarshanas

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Critical study of various concepts of personality in Shaddarshanas

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Creative Commons Attribution 4.0 and The Open Definition

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This paper examines the notion of Shiva as an epistemic being, focusing on the relationship between divine knowledge and consciousness. Within various philosophical traditions, especially Kashmir Shaivism, Shiva is not only seen as a supreme deity but also as the ultimate consciousness and the source of all knowledge. The analysis investigates how Shiva embodies key epistemic principles such as self-awareness, transcendence, and omniscience, highlighting the dynamic interplay between the knower, the known, and the process of knowing. By exploring foundational texts like the Shiva Sutras and the works of scholars such as Abhinavagupta, the paper explores Shiva's role as both the origin and ultimate realization of knowledge, situating this within the broader context of epistemology. The study seeks to reveal how divine consciousness provides valuable insights into the nature of knowledge, perception, and understanding, proposing a new framework for rethinking the philosophical foundations of knowing.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

shaivism, pratyabhijna, sadaka, nirvikalpa, savikalpa.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Now a days due to changing lifestyle, improper diet habits, professionally adopted postures, people are facing many physical as well as mental health issues . Tennis Elbow (Lateral epicondylitis) is a condition characterized by pain & tenderness at the lateral epicondyle of humerus due to non-specific inflammation at the origin of the extensor muscles of the forearm. Although , it is sometimes seen in tennis players, other activities such as squeezing clothes, carrying a suitcase etc.are frequently responsible . So besides tennis players , surgery staff, secretaries, violin players, politicians shaking hands & house wives, doing house hold works can also develop Tennis Elbow. The prevalence rate of Tennis elbow between 1 and 3%. On the basis of signs and symptoms , tennis elbow can be correlated with the condition of 'Snayugata Vata' described in Ayurveda . It is developed when the vata dosha aggravates due to aticheshta, ativyayam, etc. and gets localized in snayu of kurpara sandhi

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Snayugata vata, Tennis elbow

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Creative Commons Attribution 4.0 and The Open Definition