Economically Weaker Section Allocations- Impact, Misuse, and Implementation Framework
This paper talks about the economically weaker section of the society. It includes information about different topics; The Impact of Affordable general housing for the urban poor, Misuse of Affordable Housing Schmes and its direct consequences, Source of Finance, Economic parameters, Sanitation and Location, Critical issues in the affordable housing sector, Infrastructure Parameters, Services, Regulations, International evidence. This paper examines the depth of different major problems about the economically weaker section and the other parameters that affect this.
Published by: Ridhima Kapur
Author: Ridhima Kapur
Paper ID: V10I4-1197
Paper Status: published
Published: August 24, 2024
Advances in Dental Implant Technology
This abstract delves into the rapidly evolving field of implant dentistry, highlighting the continuous advancements in dental technology that are revolutionising oral health restoration and enhancing smiles. The exploration of implant innovations spans a range of cutting-edge technologies, including digital imaging, computer-aided design and manufacturing (CAD/CAM), guided surgery techniques, immediate load implants, biocompatible materials, and augmented reality. These innovations collectively contribute to a more precise, efficient, and patient-centered approach, ushering in a new era in dental care. As advancements in implant technology continue to expand the frontiers of dental care, the future holds numerous promising developments. The fusion of artistic and scientific principles in implantology aims not only to replace missing teeth but to do so with a high degree of sophistication, respecting the unique oral anatomy of each patient. This abstract encourages an examination of the dynamic relationship between implant innovations and dental technology, presenting a future where new developments not only restore smiles but also transform the nature of personalised, precise, and patient-focused oral health care.
Published by: Dr. Rishika Dogra
Author: Dr. Rishika Dogra
Paper ID: V10I4-1205
Paper Status: published
Published: August 21, 2024
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
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
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
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
