The Global Infrastructure Resilience ReportThe First Global Infrastructure Resilience (GIR) Report, published by the Coalition for Disaster Resilient Infrastructure (CDRI) in October 2023, marked a significant milestone in the global efforts to advance disaster and climate-resilient infrastructure. Addressing …

Citizen science has demonstrated potential to foster local changes in public health, including physical (in)activity. We used community-engaged citizen science to explore how to improve the exercise-friendliness of a Dutch neighborhood, chosen because it scored below average on important health parameters. …

Biogas production involves the complex process of anaerobic digestion in bioreactors. This paper presents numerical modeling results and analysis of bioreactors. We discuss research methodology, model geometry, internal bioreactor processes, and possible modifications. Two mathematical models and their …

Encouraging adolescents to participate in physical activity (PA) is crucial for both their immediate and long-term well-being. However, maintaining their engagement remains a challenge. The Health-Promoting School (HPS) model takes a holistic approach by integrating health promotion into education, policies, …

This study investigates the Topological Tail Dependence (TTD) theory’s applicability to individual stock volatility and high dimensions. Utilizing a comprehensive dataset from the S&P 100, the research employs various methodologies to test the predictions and implications of the TTD theory. The theory’s …

The high level of digitalization of financial products and services changed the banking landscape, leading to the emergence of digital banks, or neobanks. Despite the further advancement of digitalization and the rapidly growing customer base, many digital banks left the market just a few years after …

Purpose This study aims to critically evaluate the competitiveness of Transformer-based models in financial forecasting, specifically in the context of stock realized volatility forecasting. It seeks to challenge and extend upon the assertions of Zeng et al. (2023) regarding the purported limitations …

This paper presents a Python script that automates the estimation of Yang & Zhang’s stock realized volatility proxy for univariate and multivariate cases. Yang & Zhang’s realized volatility is a stock volatility proxy commonly used by financial researchers and practitioners due to its unbiasedness in …

This study proposes a novel loss function for neural network models that explores the topological structure of stock realized volatility (RV) data by adding Wasserstein Distance (WD). The study shows that the proposed loss statistically significantly improves the forecast accuracy of neural network models …

The Dutch healthcare system suffers from the ‘care gap’: its inadequacies to deliver healthcare services for growing numbers of clients. AI-systems are designed to remedy these problems, but for social acceptance these innovations must be realized with a human-centric approach. The research focuses on …