Business Commons^™

No Time For Tea: Hidden Figures Of The Dutch Tea Industry, Annette Kappert, Lysbeth Vink

Dublin Gastronomy Symposium

This paper explores the historical role women played in promoting, distributing, and establishing tea consumption in The Netherlands. Despite being the first nation to introduce tea to the Western world, and the abundance of literature and images documenting women as sapless tea drinkers, languishing their afternoons away, entertaining and sipping the amber brew in their tea houses, the latter is far from reality. Preliminary research indicates Dutch women were instrumental in establishing an elite tea industry in The Netherlands and beyond. Aptly the authors utilized the archives to explore visual and narrative data dating from 1610 to present, to find …

Between Memory And History: Irish Pubs As Sites Of Memory And Invention, Perry Share, Moonyoung Hong

Dublin Gastronomy Symposium

The pub has been at the centre of Irish culture and identity for at least two centuries, has become a pillar of the Irish tourism “product,” and an export commodity as thousands of themed “Irish pubs” have been established across the world in the last number of decades, supplementing existing establishments that have served the global Irish community. This paper draws on key themes from the diverse material in our upcoming academic volume on the Irish pub, to be published by Cork University Press, later in 2024. The book brings together contributions from scholars of history, sociology, design, literature, culinary …

Proposed Charlotte To Atlanta High-Speed Passenger Rail Line: An Economic, Infrastructural, And Developmental Analysis In The Upstate Of South Carolina, Ian C. Macurda, Kimberly Whitehead

SC Upstate Research Symposium

This research paper is an in-depth analysis of the high-speed passenger rail line proposed between Charlotte, NC and Atlanta, GA and its impact on the economy, infrastructure, and future development of the Upstate of South Carolina. Currently, passenger rail service between Charlotte and Atlanta is offered on Amtrak at late hours throughout the night on its long-distance passenger rail line The Crescent from New York City, NY to New Orleans, LA. The train is often delayed and is operating at a deficit for Amtrak, like most of their long-distance routes. Traffic on Interstate 85 through the Upstate is another issue …

Hgs-3 The Influence Of A Tandem Cycling Program In The Community On Physical And Functional Health, Therapeutic Bonds, And Quality Of Life For Individuals And Care Partners Coping With Parkinson’S Disease, Leila Djerdjour, Jennifer L. Trilk

SC Upstate Research Symposium

Purpose Statement: Several studies have shown that aerobic exercise can have a positive impact on alleviating symptoms experienced by individuals with Parkinson's disease (PD). Despite this evidence, the potential benefits of exercise for both PD patients and their care partners (PD dyad) remain unexplored. This research project investigates the effectiveness, therapeutic collaborations, and physical outcomes of a virtual reality (VR) tandem cycling program specifically designed for PD dyads.

Methods: Following approval from the Prisma Health Institutional Review Board, individuals with PD were identified and screened by clinical neurologists. The pre-testing measures for PD dyads (N=9) included emotional and cognitive status …

Co2 Pricing Impact On Partially Regulated Market, Love Gami

Undergraduate Research Conference at Missouri S&T

With climate change becoming a growing concern, carbon trading has gained attention as a key solution to reducing carbon emissions. However, this raises a concern about whether polluters pass the cost of carbon to electricity prices. This study aims to assess the impact of CO2 pricing on electricity prices in the PJM market where some areas are regulated by carbon trading while others are not. Our findings reveal a significant impact of CO2 prices across all regulated areas, encompassing both real-time and day-ahead markets. Moreover, the impact extends to non-regulated areas, indicating a spillover effect within the PJM market. Interestingly, …

Historical Perspectives In Volatility Forecasting Methods With Machine Learning, Zhiang Qiu, Clemens Kownatzki, Fabien Scalzo, Eun Sang Cha

Seaver College Research And Scholarly Achievement Symposium

Volatility forecasting in the financial market plays a pivotal role across a spectrum of disciplines, such as risk management, option pricing, and market making. However, volatility forecasting is challenging because volatility can only be estimated, and different factors influence volatility, ranging from macroeconomic indicators to investor sentiments. While recent works suggest advances in machine learning and artificial intelligence for volatility forecasting, a comprehensive benchmark of current statistical and learning-based methods for such purposes is lacking. Thus, this paper aims to provide a comprehensive survey of the historical evolution of volatility forecasting with a comparative benchmark of key landmark models. We …