Aims: To investigate the impact of consecutive perioperative care transitions on in-hospital recovery of patients who had primary total knee arthroplasty (TKA) over an 11-year period. Methods: This observational cohort study used electronic health record data from all patients undergoing preoperative …

Repeating an experiment following the exact same procedures and using the exact same data and tooling should always give the same results. This is referred to as replicability, a key principle within the scientific research community. To support replicability in a clinical context, recording and reporting …

This paper explores country-level macro-structural conditions that are associated with social capital, measured as individuals’ access to social resources. To explain differences in social capital across societies, we formulate hypotheses based on welfare state generosity, cultural orientations (collectivism …

In recent years, drones have increasingly supported First Responders (FRs) in monitoring incidents and providing additional information. However, analysing drone footage is time-intensive and cognitively demanding. In this research, we investigate the use of AI models for the detection of humans in drone …

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 …

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, …

Dealing with and maintaining high-quality standards in the design and construction phases is challenging, especially for on-site construction. Issues like improper implementation of building components and poor communication can widen the gap between design specifications and actual conditions. To prevent …

Many product innovations can benefit from being more adaptive to their environment. Learning adaptive behavior can be time sensitive and complex. For that purpose we created a simulation environment with a reinforcement learning component for developing simple adaptive products. The environment models …

Autism Spectrum Disorder (ASD) is a neurobiological condition affecting about 1% of the population, characterized by repetitive behaviors, restricted interests, and communication deficiencies. While ASD has both genetic and environmental influences, the role heritable yet non genetic gastrointestinal …

The developments in city logistics are leading to an increasing number of smaller, time-sensitive deliveries. The parcel market has consistently grown over the past decade, with emerging business models such as ship-from-store (both B2C and B2B) and quick commerce. Moreover, companies are increasingly …