Abstract Background: Evaluating a patient's medication list is critical to reduce prescribing errors (PEs), but is a labour- and time-intensive process. Identification of patients at risk of PEs could improve the allocation of scarce time and resources, but currently available prediction tools are not …

DEME Group, a leader in offshore energy and marine infrastructure, seeks to enhance the efficiency and accuracy of cable burial operations for offshore wind farms through the development of a user-friendly trencher mobility model. This research addresses the limitations of existing models and provides …

OBJECTIVE: This study aimed to examine the prevalence and predictors of reconstructive surgery among pediatric burn patients in the Netherlands. METHODS: Pediatric burn patients were identified through the Dutch Burn Repository R3. Eligibility criteria included a burn requiring hospital admission or …

Background: Although medical courses are frequently evaluated via surveys with Likert scales ranging from “strongly agree” to “strongly disagree,” low response rates limit their utility. In undergraduate medical education, a new method with students predicting what their peers would say, required fewer …

To model individuals' experience of urban spaces, this study integrates knowledge from environmental psychology and artificial intelligence to propose a framework for individuals' perceptions and emotion by incorporating individual characteristics and cognitive appraisal together with environment attributes …

Background Wheelchair tennis, a globally popular sport, features a professional tour spanning 40 countries and over 160 tournaments. Despite its widespread appeal, information about the physical demands of wheelchair tennis is scattered across various studies, necessitating a comprehensive systematic …

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 investigates the application of neural basis expansion analysis with exogenous variables (NBEATSx) in the prediction of daily stock realized volatility for various time steps. It compares NBEATSx’s forecasting accuracy and robustness with several commonly used models, namely Long-Short Term …

Physical activity is crucial in human life, whether in everyday activities or elite sports. It is important to maintain or improve physical performance, which depends on various factors such as the amount of physical activity, the capability, and the capacity of the individual. In daily life, it is significant …

ABSTRACT: Background Population aging is occurring worldwide. As a result, frailty and disability are in the full interest of practice, policy, and science. An increase in healthcare utilization is an adverse outcome of frailty and disability. Objective The aim of the present study was the prediction …