Abstract  Marching band competitions require members to perform under pressure after long periods of time waiting before they start the first note of their performance. This study examines the competitive environment of marching band performance and its effects on performers’ emotional states. In particular, the waiting process before performance may influence how nervous, excited, or […]

Abstract Rapid sea level rise poses immediate risks to coastal cities, like Miami Beach, with accurate forecasting technologies having the potential to inform infrastructure and adaptation. This study evaluates probabilistic state-transition models (Continuous-Time Markov Chains) and compares its effectiveness and accuracy to Random Forest (RF) Regressions and Seasonal ARIMA (SARIMA) models using identical datasets and […]

Abstract Microplastics are a global environmental concern with widespread impacts on marine ecosystems. Predicting oceanic microplastic concentration remains underexplored, as most machine-learning approaches focus on regional settings and rely on features not consistently available worldwide. We propose a global framework that uses universally available spatial inputs (latitude, longitude, ocean, month) augmented with 256-dimensional satellite-derived geo-embeddings. […]

Abstract This paper explores how local climate is related to the creation of urban cycling systems. We examine an international sample of cities to establish whether such elements as temperature and precipitation are related to the degree of committed bike infrastructure. With the help of OpenStreetMap data, in the form of the OSMnx, and climate […]