Vol. 1 No. 1 (2023)
Editorial Introduction to the First Issue of Cambridge Explorations in Arts and Sciences (CEAS)
On behalf of the Editorial Team, I would like to welcome you to the inaugural issue of Cambridge Explorations in Arts and Sciences (CEAS). As Editor-in-Chief, I am delighted to announce that the first issue is focussed on Artificial Intelligence (AI) in a range of applications and social settings.
CEASC has a unique mission. We aim to give a platform to High School and University students who would like to gain early experience in publishing their working papers and projects so as to reach a wide audience. The papers are by authors that are all outstanding in their cohort, in terms of content, organisation, and presentation. Showcasing a publication in CEASC will benefit them in many ways. Firstly, they will gain a public platform for their work through which they will be able to put forward their ideas, arguments, designs, and models: these will be on show for all to see. A corresponding benefit is that it will be of great help in their progression through the educational system and the world of work. In today’s fast-moving environment, it is essential to publish as soon as possible. Naturally, this is to claim a stake in the debate and to assert ownership of intellectual property of all types. That is why we offer a fast-publishing model while retaining academic standards. CEASC is intended to be for authors from a broad range of academic disciplines: from business to technology, from history to sociology. The focus of our first issue is AI. However, many papers are not only technical in nature but also examine the social impacts of such technology that are vital for people in general to understand and appreciate.
Our First Papers
Our first ten papers are dedicated to the exploration of AI in a broad range of social contexts ranging from healthcare to song generation. They have been written by university students on a Cambridge educational programme (please contact the Editor-in-Chief for details).
Gao Shuyan et. al. provide an AI method for finding the optimal battery material suitable for an artificial heart, while Yiting Zheng et. al. not only create a predictive model of breast cancer by analysing methylation molecular markers but also examine public attitudes to using AI for the same. Also in the medical sphere, Kexin Yuan et. al. propose a new idea for colorectal cancer (CRC) screening and diagnosis based on three comparative AI analytical approaches of intestinal flora of CRC. Ziyin Wang et al. apply a U-net model to retinal vessel segmentation and achieve data enhancement in morphology methods to highlight the importance of data preprocessing in digital image processing, and Yuyan Zhang, Shuoyue Feng, and Yiming Wang propose a model of ambulance routing that maximises not only speed to hospital but allows for consideration of hospital resources across locations to improve patient outcomes. In the arts, Shuoshuo Yin et al. evaluate AI-generated art in Tiktok and other platforms both from a technical point of view and that of human artists, and Siyuan Chen et.al. investigate the capability of AI to generate songs and lyrics for use in the primary school as part of a STEAM curriculum. Relevant to all, Zixuan Tang et. al. use AI to make correlations between air pollution indices and expressions of happiness on social media with suggestions for a new indicator, while dining experiences might be enhanced by the AI model for the optimisation of cost control regarding key factors for individual buffet restaurants and chains proposed by Shuang Wu et. al. Finally, Yuhang Pan et al. provide a technical account of the Deep Q-Network and how it can be improved to get better outcomes in the Snake game. All in all, we offer a fascinating collection of articles in our first edition and we hope the reader will enjoy them!
Mark Perkins
Editor-in-Chief
