In this study, we trained a supervised neural network for sea ice classification using X-band SAR images obtained during an Antarctic fieldwork campaign and applied it to Arctic X-band data acquired during sea ice fieldwork campaigns. The results revealed a pronounced correlation between the predicted sea ice class and measured snow depth in the Arctic. This correlation is likely attributed to the ...

Objective - This study aimed to investigate the predictive capabilities of historical patient records to predict patient adverse outcomes such as mortality, readmission, and prolonged length of stay (PLOS).<p> <p>Methods - Leveraging a de-identified dataset from a tertiary care university hospital, we developed an eXplainable Artificial Intelligence (XAI) framework combining tree-based and ...

Background: Limb-girdle muscular dystrophy R9 (LGMDR9) is a chronic progressive hereditary muscle disease, related to the Fukutin Related Protein (FKRP) gene, that may cause major disabilities, cardiomyopathy, and ventilatory failure. Knowledge of how LGMDR9 affects health-related quality of life (HRQoL) is relevant in treatment and care.<p> <p>Objective: To investigate HRQoL in the Norwegian ...

Collaborative approaches to destination design require conscious and reflexive stakeholder involvement in activities and decision making. Design science studies such participatory processes by observing design teams in practice. From these observations, scientists have identified design strategies and processes that design teams use to support their work in identifying problems and developing ...

Metaheuristics can benefit from analyzing patterns and regularities in data to perform more effective searches in the solution space. In line with the emerging trend in the optimization literature, this study introduces the Reinforcement-learning-based Alpha-List Iterated Greedy (RAIG) algorithm to contribute to the advances in machine learning-based optimization, notably for solving combinatorial ...

Despite important progress in modern medicine, widely regarded as an indispensable foundation of healthcare in all highly advanced nations and regions, not all patients respond well to available treatments in biomedicine alone. Additionally, there are concerns about side effects of many medications and interventions, the unsustainable cost of healthcare and the low resolution of chronic non-communicable ...

Background: In times of crisis, the interests of the individual might be sacrificed for the health and safety of others. The aim of this study was to explore the situation under Covid-19 for persons with intellectual disabilities, focusing on implications on the right to self-determination within health protection.<p> <p>Method: To understand how the relevant legal framework was governed by ...

This study aimed to conduct a systematic review and meta-analysis evaluating the inclusion of β-glucan in aquaculture animal diets and its impact on their health outcomes. Relevant studies were identified from Scopus and Web of Science databases. A total of 82 primary studies published between 1996 and 2024 were reviewed, of which 70 were included in the meta-analysis. The results revealed that ...

Drawing from the field of complex evaluations we discuss a novel application of process tracing for the evaluation of complex tourism interventions. We argue that to better evidence impact of tourism interventions and facilitate policy transfer we ought to adopt approaches to evaluation that allow us to deepen our understanding of causal mechanisms at play in an intervention. We adopt process ...

Flipped Classroom (FC) approaches, which utilize video distribution via modern internet platforms, have recently gained interest as a pedagogical framework. Inquiry Based Mathematics Education (IBME) has proven to be a valid form of task design to motivate active learning and enhance classroom interactivity. This article presents a practical combination of introductory videos and inquiry-based class ...