Objective This study aims to better understand how new future-oriented nursing roles are enacted in a general hospital. Design A learning history, that is, a participatory action-oriented research design to explore and foster organizational learning. Methods Data collection consisted of a (historical) …

Objective This study aims to better understand how new future-oriented nursing roles are enacted in a general hospital. Design A learning history, that is, a participatory action-oriented research design to explore and foster organizational learning. Methods Data collection consisted of a (historical) …

Objective This study aims to better understand how new future-oriented nursing roles are enacted in a general hospital. Design A learning history, that is, a participatory action-oriented research design to explore and foster organizational learning. Methods Data collection consisted of a (historical) …

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 …

Severe mental illness (SMI) imposes a significant burden on individuals, resulting in long-lasting symptoms, lower social functioning and impaired physical health. Physical activity (PA) interventions can improve both mental and physical health and care workers can serve as healthy role models. Yet, …

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 …

This paper presents a user-friendly version of Persistent Homology (PH) graph code to model financial market structures and changes. By leveraging Topological Data Analysis (TDA), the code offers an effective approach for analyzing high-dimensional stock data, enabling the identification of persistent …

This paper presents user-friendly code for the implementation of a loss function for neural network time series models that exploits the topological structures of financial data. By leveraging the recently-discovered presence of topological features present in financial time series data, the code offers …

The persistence of multiple educational pathways into the nursing profession continues to occupy scholars internationally. In the Netherlands, various groups within the Dutch healthcare sector have tried to differentiate nursing practice on the basis of educational backgrounds for over 50 years. Proponents …

The persistence of multiple educational pathways into the nursing profession continues to occupy scholars internationally. In the Netherlands, various groups within the Dutch healthcare sector have tried to differentiate nursing practice on the basis of educational backgrounds for over 50 years. Proponents …