Volume-10, Issue-4

July-August, 2024

Research Paper

1. Challenges Faced by Women in Corporate Leadership Positions

This research paper focuses on the diverse problems experienced by women in executive positions. Though women have made great strides towards gender equality, they still face several challenges like stereotypes, the gender pay gap, and the glass ceiling among others. Therefore, this paper aims to explore these incidences using interviews, surveys, and literature that already exists to ascertain if other barriers hinder women’s progress within the commercial world and proposes steps that need to be taken to provide a more conducive atmosphere. The information gathered gives us insights into the fact that ongoing work is required to destroy gender assumptions and help women move up into official posts.

Published by: Tarini KhemlaniResearch Area: Economics

Organisation: Perfect Communication , Gurgaon.Keywords: Women, Challenges, Leadership, Corporate, Equality, Bias, Stereotypes, Glass Ceiling, Gender Pay Gap, Diversity, Inclusion

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Research Paper

2. Social Media and the Spread of Fake News

The rise of the network of computers has admitted the rise of planks to some extent Facebook, Instagram, Twitter, and so forth alike. Today's people have handled the opportunity to connect and exchange numbers, considerably reconstructing value and development status. Social publishing acts as a form for storying comprehensive relations, assisting in work endeavors, making new friendships, and represent a telling release. Despite the advantages of public issuing, few things disregard allure potential, specifically concerning allure misuse. This study aims to delineate the factors that impact the utilization of friendly video as a revelation origin and judge because allure misuse in reaching telling and facts. Utilizing anything related to kinds not quantities research methods, the study executed all-encompassing interviews to draw appropriate file. The results signify that public revelation plays a main part as a telling beginning consequently allure fast classification ability. Furthermore, belongings are informed about latest trends companionable transmission misuse, containing the increase of fake disclosure and the history of parody characterizations

Published by: Shreya Chakravarty, Roopa Lakshmi K, Raviteja C, Praneeth M, Rashmi JResearch Area: Data Science

Organisation: Sri Venkateshwara College of Engineering, BengaluruKeywords: Social, Radio, Abuse, Contrived Information, Parody Profiles, News Distribution.

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Review Paper

3. Robotics in Healthcare

Robots are instilled in health care to raise patient care, current times. They are used at any settings from hospitals to rehabilitation centers and even walking assistance. The paper talks about the developments that are happening in robotic technology within the health care sector, more specifically the field of research in care, hospitals, assistive devices, rehabilitation, and walking assisting robots. It also touches upon patients' views concerning the combination of AI and robotic systems in health care, especially through their experiences of hospitalization during the COVID-19 period. Knowledge of these perspectives is capable to guide in development of AI and robotic systems meeting citizens needs, as well as contribution to development of robots in healthcare.

Published by: Suraj Kumar Kar, Sushma C, Ranjana thakuria, T M Apoorva Sharma, Sunny YadavResearch Area: HEALTHCARE

Organisation: Sri Venkateshwara College of Engineering, BengaluruKeywords: Robots, Healthcare, Rehabilitation, AI(Artificial Intelligence), Patient Care, Covid-19

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Review Paper

4. Advancements in Real-Time Object Detection with Deep Learning Models

Real-time object detection is crucial in computer vision, impacting domains like surveillance, autonomous vehicles, and augmented reality. Here, it integrates insights from seminal works—faster R-CNN, YOLOv3, Mask R-CNN, and SSD—to create a unified framework. Balancing speed and accuracy, we leverage Faster R-CNN's region proposal networks (RPNs) for precise localization. Inspired by YOLOv3's efficiency, our single-shot detection strategy ensures adaptability. Mask R-CNNs instance segmentation enhances scene comprehension, while SSDs streamlined architecture optimizes speed. This synthesis yields a framework redefining real-time object detection, pushing boundaries without compromising accuracy. In conclusion, this research underscores the transformative potential of real-time object detection, uniting cutting-edge models to innovate computer vision.

Published by: R Krishnananda, B. Padmavathy, Pulkit Kumar Yadav, R Priyanka, Shubhalakshmi DashResearch Area: Object Detection

Organisation: Sri Venkateswara College of Engineering, BangaloreKeywords: Real-Time Object Detection, Deep Learning, Mask R-CNN, SSD, YOLOv3

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Article

5. TikTok Under Scrutiny: Balancing National Security and User Privacy in Digital Age

This article aims to present a thorough study of the proposed TikTok ban in the U.S., examining the various factors that led to the proposal, its legal and regulatory framework, and its far-reaching effects. The purpose of the article is to provide readers with a fair and impartial analysis of the topic by stressing the threats to national security, the effects on users and content providers, the economic ramifications, and the wider political and diplomatic responses

Published by: Christianah Olawumi AkinyemiResearch Area: Law Of Privacy/Communication Law

Organisation: American University Washington College of Law, Washington, DCKeywords: TikTok Ban, Privacy Issue in TikTok, U.S. Concerns About TikTok, Users Option Available for TikTok Users, Options Available For TikTok.

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Review Paper

6. Diversity of Plant Flora in Suttur Matt, Mysuru

Plants play a critical role in the development of human civilization. Medicinal plants are considered as rich resources of ingredients which can be used in various drug discoveries. Suttur matt has a history of thousands of years. In this campus around 96 varieties of plants species belongs to 45 family, in which 30 herbs, 15 shrubs, 01 climbers, 50 trees, 01 pteridophytes and 04 gymnosperms were identified and documented by their botanical name, family, part used, habit and its uses. The study found that majority of the plants recorded from the campus are having high medicinal plants and one endangered species also noted.

Published by: Pooja NResearch Area: Taxonomy

Organisation: JSS College of Arts, Commerce and Science (Autonomous), Ooty Road, MysuruKeywords: Medicinal Plants, Flora, Suttur Matt, Mysuru

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Online paper publication is ongoing for the current issue and authors can submit their paper for this issue until Ongoing Submissions.