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Research Paper

A Study of Passer Domesticus and Pycnonotus Barbatus Nesting Behavior In an Urban Microhabitat in Raebareli, Uttar Pradesh

The nesting biology of a bird species is likely the most important component of its life history and is affected by several ecological and environmental factors. Various components of avian nesting biology have proved to be important traits for testing fundamental ecological and evolutionary hypotheses, and for monitoring the efficacy of biological conservation programs. Although there is a great need for research, there are several biological, legal, and ethical aspects to consider before studying bird nests through direct observation or by using new technological and digital monitoring techniques. Here, we outline the merits and needs for studying the nesting biology of birds in India but also suggest best practices specific to the Indian context, which will help ensure that the research is conducted legally, ethically, and in a way that can provide important new information to advance Indian ornithology without compromising the welfare of birds.

Published by: Priya Patel, Dr. Tuneera Bhadauria

Author: Priya Patel

Paper ID: V10I4-1199

Paper Status: published

Published: August 21, 2024

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Research Paper

Biases in Ai-Driven Educational Tools

This paper explores the prevalence of biases in AI-driven educational technologies, examining their sources, manifestations, and impacts on diverse student populations. It proposes a framework for identifying and mitigating biases, emphasizing the need for transparent and inclusive educational technologies. The global market value of AI in education is projected to increase by over 45% CAGR(Compound Annual Growth Rate) between 2022 and 2030- highlighting the vast potential of this growing industry. As a responsible society, we must ensure the ethical reproduction of Artificial Intelligence in a sensitive domain like education, where the potential is boundless however the risks are equally potent. This paper aims to set the foundation of AI as an assistive technology and not as a replacement for traditional teaching. The research highlights the use of Deep Learning and Natural Language Processing in Curriculum Design or Pedagogy planning, focusing on critical thinking and not only static learning. While other recent works have merely reviewed one use case, we have categorized EdTech tools into three learning pathways: Student-Supporting, Teacher-Supporting, and System-Supporting. By theoretical and empirical analysis, we systematically break down two technologies Assistive Grading Technology and Chatbot Personalized learning, and consequently explore every impact on the stakeholders: students, teachers, and the educational community. Furthermore, we emphasize the need for a safe regulatory framework, much like the one currently existing, to ensure there is no misuse of data collected. The laws surrounding the fragility of the information sourced and the usage of data mining for further replication should be strict, with appropriate legal consequences for breaching the same.

Published by: Aanya Yaduvanshi

Author: Aanya Yaduvanshi

Paper ID: V10I4-1204

Paper Status: published

Published: August 21, 2024

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Case Study

Corporate Sponsorships and Arsenal F.C.’S Financial Evolution

This research explores Arsenal Football Club's strategic use of corporate sponsorships to bolster its financial stability and global brand presence. It examines key sponsorship deals, including the Emirates Stadium naming rights and agreements with Nike, Puma, Adidas, and PRIME, illustrating their role in transforming Arsenal into a commercial powerhouse. The study highlights the club's innovative approach, particularly through the PRIME and Sobha Realty partnerships, emphasizing the importance of adapting to modern sponsorship dynamics. Arsenal's successful strategies provide valuable insights into sports finance and set a benchmark for financial acumen and commercial success in football.

Published by: Samarth Shrivas

Author: Samarth Shrivas

Paper ID: V10I4-1202

Paper Status: published

Published: August 20, 2024

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Research Paper

Evaluating the Impact of Data Visualization Tools on Decision-Making Processes in Healthcare: A User-Centric Analysis.

Data has become the backbone of informed decision-making across industries, including healthcare. The adoption of Electronic Health Records (EHR) has amplified the importance of data, making data visualization an indispensable tool for professionals [1]. Effectively extracting and visualizing data into valuable insights can produce remarkable outcomes in the decision-making process involved in the healthcare domain [2]. As the healthcare industry uses the ever-increasing volume and complexity of medical data, data visualization tools have emerged as promising solutions for enhancing decision-making processes. According to a survey conducted by HealthIT.gov 2017, 94% of healthcare organizations reported using electronic clinical data from their EHR to support decision-making processes. The same survey, however, also indicated that only 31% of respondents believed that their organizations were highly effective in leveraging visualization tools for decision support [3]. This discrepancy highlights a gap between the widespread implementation of data visualization tools and the perceived effectiveness of their adoption in healthcare decision-making. Historically, decision-making in the clinical aspect of healthcare relied on manual analysis of patient records and limited datasets [3]. With the digitization of health records and the exponential growth of data in the health sector, the need for advanced tools to extract meaningful patterns is evident. The use of electronic health records (EHRs) has changed how we gather large datasets, with the potential to revolutionize decision-making processes in the healthcare domain. This research aims to investigate the influence of data visualization tools on decision-making processes within the healthcare domain, focusing on the users' perspective. The primary line of inquiry will examine how users and healthcare professionals, including clinicians, administrators, and analysts, perceive and interact with data visualization tools in their decision-making processes. The research will explore the features and elements that users find most valuable or challenging, seeking insights into how integrating data visualization tools can be improved to enhance decision-making.

Published by: Boluwatife Oluwamakinde, Moyinoluwa Senjobi, Oluwaseyi Abujade

Author: Boluwatife Oluwamakinde

Paper ID: V10I4-1166

Paper Status: published

Published: August 17, 2024

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Research Paper

Inherent Gender Bias in Women Safety And LLMs with Special Emphasis on Engineering Design Defects and Technological Aspects

Current safety and technology systems often overlook the unique needs of women. Issues with crash test dummies, stab vests, CPR techniques, and AI systems reveal significant risks and discomfort for women due to designs based primarily on male standards.Addressing these issues requires integrating female-specific models in safety tests, improving the design of protective gear, and correcting biases in AI systems. Implementing these changes will ensure that both men and women receive fair and effective protection, making technology and safety measures more equitable and reliable for everyone.

Published by: Advik Shukla

Author: Advik Shukla

Paper ID: V10I4-1194

Paper Status: published

Published: August 17, 2024

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Research Paper

The Impact of Highly-Skilled and Talented Workers on the US Economy: Leveraging the Best and Brightest Minds for Economic Growth

The United States has long been a beacon of opportunity and innovation, attracting some of the brightest minds from around the world. The influx of highly skilled and talented workers has been crucial in driving economic growth, fostering innovation, and maintaining the nation's competitive edge globally. This paper examines the profound impact of these individuals on the U.S. economy, particularly within the technology sector, and explores their contributions across STEM (Science, Technology, Engineering, and Mathematics) fields, finance, legal, and healthcare sectors, which have fueled economic development and technological advancement. However, this Research Note also identifies several challenges that could hinder the productivity and impact of these workers. Key issues include brain waste and skills mismatches, the displacement and replacement of native workers, brain drain and talent retention, access to education and economic inequality, as well as migration and international student policies, and security and social safety concerns. To ensure the continued economic productivity of these talented individuals, the researcher recommends several solutions. These include establishing programs to more efficiently recognize and validate foreign credentials, implementing reverse brain drain initiatives, and strengthening the monitoring and enforcement mechanisms of existing laws, such as the “Protect and Grow American Jobs Act.”

Published by: Deborah Similoluwa Akinbobola

Author: Deborah Similoluwa Akinbobola

Paper ID: V10I4-1195

Paper Status: published

Published: August 15, 2024

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