IPO Timing and Market Readiness: An Interdisciplinary Review of Strategic Entry Points
This study provides an interdisciplinary examination of the determinants of Initial Public Offering (IPO) timing and market readiness. Integrating perspectives from economics, financial consultancy, trading practice, and entrepreneurial decision-making, the analysis demonstrates that IPO performance is contingent upon both external market conditions and internal organisational preparedness. Economists underscore the influence of macroeconomic cycles, venture capital flows, and volatility indices in shaping IPO windows. Financial consultants emphasise the critical role of governance structures, financial integrity, and operational discipline in sustaining post-listing stability. Traders, in contrast, interpret IPOs primarily as events of liquidity and sentiment-driven volatility, privileging short-term momentum indicators over fundamentals. Business leaders conceptualise IPOs as transformative junctures, motivated by capital sufficiency, investor dynamics, and founder psychology. The study concludes that successful IPOs emerge not from opportunistic timing alone but from the alignment of external conditions with institutional resilience, governance capacity, and long-term strategic vision.
Published by: Aaryan Rahul Sethi
Author: Aaryan Rahul Sethi
Paper ID: V11I5-1169
Paper Status: published
Published: October 1, 2025
Analysing Gender Bias in Job Descriptions Using Machine Learning and NLP Techniques
The growing use of automated recruitment systems has raised concerns about gender bias in job descriptions. Subtle linguistic cues can discourage qualified candidates from underrepresented groups, reinforcing workplace inequality. This study presents a computational framework using Natural Language Processing (NLP) and Machine Learning (ML) to detect and analyse such bias. The methodology involves text preprocessing, gender-coded word scoring, topic modelling with Latent Dirichlet Allocation (LDA), clustering via KMeans, and visualisation through t-SNE. A curated lexicon of masculine- and feminine-coded words assigns bias scores, while topic modelling uncovers latent themes in postings. Clustering groups of semantically similar descriptions enables analysis of bias distributions across occupational categories. Findings show that bias varies by job type: technical and managerial roles tend to use more masculine-coded language, while service and support roles favour feminine-coded terms. Semantic cluster visualisations confirm systemic patterns in word usage. This research underscores the need for fairness-aware audits in recruitment, offering both theoretical and practical insights into bias detection. The framework provides organisations with a scalable tool to identify and mitigate hidden biases, promoting inclusive hiring practices and supporting compliance with ethical and regulatory standards.
Published by: Sanvi Choukhani
Author: Sanvi Choukhani
Paper ID: V11I5-1163
Paper Status: published
Published: September 27, 2025
What are the Economic Implications of Congestion Pricing on Urban Traffic Management?
Urban congestion poses significant economic, social, and environmental challenges, from wasted fuel and time losses to deteriorating air quality. Congestion pricing has emerged as a policy tool to address these negative externalities by charging vehicles for road use in high-demand areas. This paper examines the economic implications of congestion pricing through both theoretical foundations and case studies from London, Stockholm, and Singapore, while also considering its potential in India. Findings show that congestion pricing reduces traffic volumes, increases travel speeds, and generates substantial revenues that can be reinvested into public transportation and sustainable infrastructure. However, its effectiveness depends heavily on equitable policy design, with exemptions, subsidies, and transparent reinvestment strategies playing a key role in public acceptance. The analysis concludes that while congestion pricing is not a standalone solution, it can serve as a cornerstone of sustainable urban mobility when integrated with broader strategies for equity, technological innovation, and inclusive growth.
Published by: Shaurya Vikas Agarwal
Author: Shaurya Vikas Agarwal
Paper ID: V11I5-1157
Paper Status: published
Published: September 25, 2025
From Concept to Creation: Prototyping A Centrifugal Projectile Launcher and Analyzing Its Performance
This study presents the design, prototype, and performance analysis of a centrifugal projectile launcher. The research encompasses the conceptual design, key components, and manufacturing processes involved in creating the launcher. The design considerations include material selection, structural integrity, aerodynamics, and precision. The manufacturing process details the fabrication of the rotating arm, integration of the motor and power source, development of the projectile release mechanism, and implementation of safety features. Extensive testing was conducted to evaluate the launcher's performance, analysing parameters such as rotation speed, projectile shape and other characteristics. The results provide insights into its launch velocity, revolutions per minute, precision, and energy efficiency. The study also explores potential future applications and improvements, including advanced materials, automated systems, and scaling possibilities. This research contributes to the understanding of centrifugal projectile launchers and their potential applications in scientific research, sports, and industry.
Published by: Aradhya Sharma
Author: Aradhya Sharma
Paper ID: V11I5-1159
Paper Status: published
Published: September 25, 2025
How Technologies are Negatively Influencing the New Generation’s Behaviour, Work Ethic, and Thinking Skills
This paper examines how modern technologies—including smartphones, social media, and artificial intelligence tools—are reshaping the behaviour, work ethic, and thinking skills of the younger generation. It argues that increasing dependence on AI is weakening critical thinking, while the addictive nature of social media fosters anxiety, unrealistic comparisons, and shortened attention spans. Additionally, the growing obsession with quick success and online fame is replacing discipline, patience, and long-term goal setting with a culture of instant gratification. Ethical concerns are also explored, particularly regarding harmful content exposure and algorithm-driven engagement that disregards age appropriateness. The paper concludes that while technology offers opportunities, its unchecked influence risks producing a generation less resilient, less creative, and more dependent on external systems. It emphasises the urgent need for education, parental guidance, and stricter regulation to ensure healthier digital habits and safeguard the future of young people.
Published by: Daksh Shevakramani
Author: Daksh Shevakramani
Paper ID: V11I5-1153
Paper Status: published
Published: September 24, 2025
A Theoretical Explanation on Neural Regeneration and the Science Behind the Brain’s Refusal to Heal
The Animal Kingdom consists of a variety of organisms that each have a unique regeneration process for organs and the function of the body. For instance, among vertebrates, the capacity of brain regeneration works on a whole new level than it does for mammals. An example of this vertebrate includes a Zebrafish, a teleost with a relatively simple neural system and structure, that can regenerate an extensive amount of its brain regions even after injury, including areas that are analogous to the mammalian forebrain. – In neuroscience, it is common to compare the analogous brain structures across different classes; so even though vertebrates and mammals are two different classes, the analogous forebrain regions may share development pathways. The neural stem cells multiply, damaged circuits are regenerated or reformed, and behavioural functions can possibly be restored. In contrast to this phenomenon, when an adult human brain is injured, suffers trauma or undergoes a stroke, it responds by protecting the damaged brain area by inflammation, gliosis or isolation, forming scar tissues, rather than processing regeneration – due to this, new neurotic signals are not formed, the broken connections between the damaged neurones are not repaired and the lost brain function is generally permanent. Additionally, even though the human brain is incapable of regenerating itself after injury, the genetic instructions needed to build brain tissues are still present in our DNA. This could mean that the ability of the brain to repair itself is not entirely missing – instead, the gene may be turned off or tightly controlled. When this process of regeneration is compared with species that are capable of doing this, it is evident that regeneration does not primarily focus upon having the right genes, but it is about how these genes are regulated in each species. In this paper, we explore the possibility of how the human brain may be deliberately limiting its own healing ability. This could be looked at as a protective strategy rather than a flaw, a strategy that aims to preserve complex functions – like memory, personality, and consciousness.
Published by: Angel Darshan Thakkar
Author: Angel Darshan Thakkar
Paper ID: V11I5-1158
Paper Status: published
Published: September 23, 2025
