Published Papers

Due to the recent rise in popularity of short-form media, especially amongst adolescents, there is little research about its possible effects and implications. This experiment aims to explore the impact of watching TikTok, in comparison to reading, on the attention capability and memory capacity of adolescent participants. In this experiment, participants watched TikTok or read a book for 7 minutes and were then required to complete sub-tasks from The Addenbrooke's Cognitive Examination Version 3 (ACE-III) focused on assessing attention and memory. 

This paper presents the analysis of the various aerodynamic properties like lift and drag, with respect to the following airfoils: NACA 22112, NACA 23015, NACA 23018, NACA 23021, NACA 23112, NACA 24112. The objective of this study is to explore the effects of lift and drag at various angles to find out how efficiently it can perform under a wide range of conditions. The Cd, Cl and Alpha for the NACA 5-digit series airfoils are taken from the airfoil tools website. The data is then calculated to evaluate the Cl vs Alpha, Cd vs Alpha, Cl vs Cd and Cl/Cd vs Alpha values, that is then plotted onto their respective graphs for further investigation. This shows us that there are some airfoils that have properties that allow them to perform better under conditions where other airfoils might stagger.

This paper examines Japan’s distinctive inflation and deflation patterns, highlighting prolonged deflation following the 1990s asset bubble collapse and exploring the systemic issues underlying this trend. Japan’s deflationary cycle, reinforced by demographic shifts, conservative spending habits, and policy limitations, has presented unique challenges that distinguish its economy from other developed nations. By analyzing historical events, monetary policies, and fiscal interventions, this study identifies key factors contributing to Japan's economic stagnation. The paper concludes by suggesting alternative strategies and offering insights that may assist policymakers worldwide in addressing deflationary pressures within an interconnected global economy.

The automobile is the primary mode of transport for most families, but automobile accidents remain the leading cause of death for children and young adults. The most common cause of automobile accidents is incorrect driver action and research aims to minimize the factors that contribute to this, specifically driver aggression and inattention. Music has been shown to have an impact on driving and may be a useful tool to help mitigate these behaviors that can increase the risk of automobile accidents. The aim of this study is to systematically review and summarize the current published literature on the impact of listening to music whilst driving on the driver’s behavior, mood and attention.

This work explores the application of machine learning to detect exoplanets from NASA’s Kepler mission. Our dataset comprises Kepler Objects of Interest (KOIs), encompassing their characteristic features and confirmed exoplanet status. We experiment with multiple supervised classification techniques including classical, tree-based, and neural methods. The best-performing model Histogram Gradient Boosting achieves a strong performance of 94.6% precision and 94.1% recall on a held-out dataset demonstrating the strong potential of integrating machine learning techniques into astronomy, potentially leading to new insights into planetary systems outside the solar system.

This paper investigates the impact of the Christmas period on the prices of five cryptocurrencies Bitcoin, Ethereum, Ripple, Litecoin and Dogecoin from 2017 to 2021 By employing statistical and data science analysis, the study aims to enhance the understanding of seasonality anomalies in the cryptocurrency market The results reveal significant price fluctuations during the Christmas period, highlighting the potential for seasonal effects in digital currencies.