Volume 12 | Issue 7 |

 Abstract

Myths are part and parcel of every culture in the world and mythological stories reflect the value system of a society. The representation of women in mythology is significant to understand cultural perceptions, gender roles, and power dynamics. This study explores how women are portrayed in mythology, comparing and contrasting tales from various mythical traditions to identify recurring themes, variances, and changes in the way women are portrayed. The research article consists methodology of comparative analysis as well as structuralism as theoretical framework. The primary sources are ancient texts, religious scriptures and epic poems of Indian, Egyptian, Greek and Norse. These texts aided in reviewing narratives that involve significant female characters. The study is significant in a way of understanding women in mythology and finds out, recurring themes in portrayal of women in mythology across cultures. It also makes a way to understand myth and women in broader sense.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Women, Myth, Archetypal Females, Structuralism, Gender.

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Creative Commons Attribution 4.0 and The Open Definition

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In today's digitally driven marketplace, personalized marketing has emerged as a pivotal strategy for businesses aiming to engage customers on a deeper level and foster long-term relationships. With the advent of Artificial Intelligence (AI), personalized marketing has reached unprecedented levels of customization and effectiveness. This master's thesis delves into the intricate relationship between AI and personalized marketing strategies, focusing on how AI-powered techniques can revolutionize customer engagement and satisfaction. The research explores various facets of personalized marketing, including data collection, analysis, and implementation of tailored campaigns. Through a comprehensive literature review, this thesis examines the theoretical underpinnings of personalized marketing and the evolution of AI technologies in this domain. Moreover, empirical studies and case analyses are conducted to illustrate real-world applications and outcomes of AI-driven personalized marketing strategies across diverse industries. Key themes investigated include the role of machine learning algorithms in deciphering consumer behavior patterns, the ethical considerations surrounding data privacy and consent, and the implications of AI-generated content on brand- consumer interactions. Additionally, the study investigates the impact of personalized recommendations, dynamic pricing, and predictive analytics on enhancing customer satisfaction and loyalty. Furthermore, this research highlights the challenges and opportunities associated with integrating AI into personalized marketing initiatives, such as algorithm bias, algorithmic transparency, and the need for continuous adaptation to evolving consumer preferences. Insights gathered from interviews with industry experts and surveys of consumers contribute to a comprehensive understanding of the practical implications and future directions of AI-enabled personalized marketing.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Marketplace , strategies ,data

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The utilization of employee engagement had acquired parcel of consideration in organization. Employee engagement has additionally been spread to different Businesses moreover. Keeping employee full drawn in is a lot of fundamental need. Connecting with worker will be more useful, compelling and productive. In this paper factors influencing employee engagement in Akashwani is taken for the study. Hundred samples were taken for the review. Threety seven attributes investigation. Just nine factors have solid impact on employee engagement. Salary, Development and Growth, Job Resources, Communication, Work life Balance, Decision making, Unity in Teams, Freedom and Manager

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Employee engagement, salary, communication, Job Resources, Growth and Development.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This review article discusses studies on mouthwash characteristics, benefits, drawbacks, negative impacts, adverse consequences, and applications, especially in COVID-19. It also addresses an unbiased comparison of chemical mouthwash formulations, herbal products, and their effects on allergens from foods as well as the significance of cosmeceuticals. It is considered that a variety of bacterial species called the mouth home. However, while some of these organisms are benign, others can be dangerous and lead to oral plaque, bad breath, and mouth diseases. Thus, keeping the mouth and body healthy requires practicing good dental hygiene. Mouthwash preparations made from extracts of herbs are known as herbal mouthwash preparations. Mouthwash made with herbs offers several advantages over mouthwash made with chemicals

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Mouthwash , Herbal preparation , Oral hygiene , Alcohol free , Psidium guajava , Clove Oil.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mutual funds are a well-liked choice in India's capital markets for both novice and seasoned investors. Apart from the diminishing necessity for comprehensive market research, proficient management plays a crucial role in the expansion and advancement of the organization. It is one of the best ways for the average person to invest their money, even on a tight budget, to avoid accumulating excess cash and to receive a good return at a modest risk. The focus of this study is to evaluate how the strategy has been implemented in India's mutual fund sector under the debt fund category. The top 25 debt plans with five stars were chosen for the analysis based on their return after two, three, and five years. Statistical methods like beta, market profitability, and risk-adjusted performance indicators can be used to assess the Sortino ratio, cost ratio, and Sharpe ratio. Using the aid of this study, investors can base their selections on the past profitability of particular enterprises. Finally, before investing, investors should thoroughly assess the scheme.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mutual fund performance, market volatility, Return, Debt Schemes, Risk

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project presents a novel approach to game control using computer vision techniques for pose detection. By leveraging machine learning algorithms, specifically pose estimation models, the system interprets the user's body movements to generate control commands for games. The proposed system aims to provide intuitive and immersive gaming experiences by mapping common game actions such as 'up', 'down', 'left', and 'right' to corresponding detected poses. Unlike traditional input devices, this method offers greater freedom of movement, potentially enhancing accessibility for players with disabilities or limited mobility. The versatility of the system allows integration with various game genres, providing a seamless and adaptable control mechanism across different gaming platforms. Experimental results demonstrate the feasibility and effectiveness of the proposed approach, showcasing its potential to revolutionize game interaction through natural body gestures. The versatility of our system is noteworthy as it seamlessly integrates with a wide range of game genres, offering a flexible and adaptable control mechanism across various gaming platforms. Through rigorous experimentation and testing, we demonstrate the feasibility and efficacy of our proposed approach, showcasing its potential to redefine game interaction through natural body gestures. Our findings suggest that this innovation has the capability to revolutionize the gaming landscape by bridging the gap between physical movement and virtual gameplay, unlocking new avenues for immersive gaming experiences.

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 Keywords

Pose Estimation, Computer Vision, Human-Computer Interaction (HCI), Gesture Recognition, Mediapipe, OpenCV (cv2), Python, pyautogui, Real-Time Processing, Game Control.

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Creative Commons Attribution 4.0 and The Open Definition

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Open access (OA) has transformed scholarly communication by ensuring research outputs are freely available online without subscription barriers. This movement democratizes knowledge, allowing anyone with internet access to read, download, and use scholarly works. This article explores the evolution, models, benefits, challenges, and impacts of open access on scholarly communication. It highlights key developments like the Budapest Open Access Initiative and various OA models such as gold, green, and diamond OA. The benefits of OA include increased accessibility, enhanced visibility, accelerated research, and compliance with funding mandates. However, challenges such as financial sustainability, quality control, copyright issues, and technological infrastructure need to be addressed. Open access redefines publishing practices, promotes open science, supports global research equity, and encourages public engagement, ultimately reshaping the future of scholarly communication.

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Open Access in Scholarly Communication

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract o Objective : To study neck pain related disabilities among male barber of Banas kantha region. o Method : A total 114 participants were included. The data was collected with Neck Disability Index (NDI). o Results : 114 Males filled the form. Among them 40 male barbers have significant disability and 74 male barbers has no disability to mild disability and according to Neck disability score 35.09% male barber has significant disability o Conclusion : According to the study, male barbers have significant difficulties and chances are more increased in older barbers in their day-to-day activities.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Neck pain, disabilities, male barber

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Creative Commons Attribution 4.0 and The Open Definition

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The consumer demand for video applications is rapidly increasing in the present digital market. This necessitates the compression of the video streams and the HEVC (High Efficiency Video Coding) standard significantly reduces network traffic and bandwidth needs. The coarse quantization that results in many artifacts is the main cause of the compressed video's quality loss. The goal of this work is to improve the quality of HEVC compressed decoded video using an Improved Attention U-Net architecture and to detect moving objects in the improved HEVC decoded video using a modified Mask R-CNN object detection approach. Deep learning based Denoising model can be used as a preprocessing technique in prior to Improved Attention U-Net GAN architecture. In the improved video, moving objects are found using the Mask R-CNN model. Using a post-processing technique like Non-Maximum Suppression (NMS), duplicate detections can be eliminated and the model's accuracy can be increased. The proposed method of quality enhancement demonstrated a maximum improvement of 7.71 dB for PSNR and a maximum improvement of 6.01% for SSIM, when compared to SRGAN (Super Resolution Generative Adversarial Network), MLDCNN (Multi Layered Deep Convolutional Neural Network) and Deep Learning with Super Interpolation - Laplacian Filter (DLSI-LF) methods. In comparison to Faster R-CNN and Single Shot multibox Detection (SSD) approaches, the proposed object detection method achieves a maximum precision of 0.9812, a maximum recall of 0.9789, a maximum F-measure of 0.9800 and a maximum accuracy of 0.9984 with a maximum improvement of 8.84%.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

HEVC, Video Quality Enhancement, Moving Object Detection

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Creative Commons Attribution 4.0 and The Open Definition

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The advent of the digital age has brought transformative changes to library science, particularly through the development of digital libraries. This article explores the evolution of digital libraries, tracing their origins from early initiatives like Project Gutenberg to significant milestones such as the Digital Library Initiative (DLI). Key technological advancements, including the rise of the internet, enhanced data storage, and sophisticated retrieval algorithms, have fueled the growth of digital libraries. The article examines the essential components of digital libraries, including digital collections, metadata, access and retrieval systems, and user interfaces. It highlights the benefits of digital libraries, such as increased accessibility, preservation of materials, cost efficiency, and enhanced search capabilities, while also addressing challenges like copyright issues, digital preservation, technological barriers, and data security. The profound impact of digital libraries on modern library science is discussed, emphasizing the redefinition of librarianship, collaborative opportunities, user-centric services, and the expansion of educational reach. As technology continues to advance, digital libraries will play an increasingly vital role in preserving knowledge and ensuring access to information for all.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

DIGITAL LIBRARIES AND THEIR IMPACT ON MODERN LIBRARY SCIENCE

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Creative Commons Attribution 4.0 and The Open Definition