<p>Transition metal (TM) catalysts are indispensable in industrial operations and organic synthesis due to their unique properties, such as variable oxidation states, rich coordination chemistry, and ability to enable electron transfer processes. These properties allow them to activate a diverse range of substrates by lowering activation energies, and the catalysts can be fine-tuned to enhance chemo-, ...

Hensikt: Hensikten med studien var å undersøke effekten av ulik treningsfrekvens, herunder to versus fire treningsøkter i uka på muskelstyrke og hypertrofi blant moderat trente kvinner ved likestilt volumbelastning. Metode: 13 moderat trente kvinner med tidligere styrketrenings-erfaring deltok i studien (alder: 29.1  6.3 år, høyde: 168  7.3 cm, vekt: 67  12.5 kg. Deltakerne ble randomisert til ...

Introduction People with tinnitus are likely to have other co-occurring disorders that should be considered when diagnosing and understanding tinnitus as a health problem. The association between tinnitus and cardiovascular health in the general population is, however, unclear. This study aimed to examine whether tinnitus is associated with the prevalence of hypertension, myocardial ...

We present an all-electron, four-component relativistic implementation of electric field gradients (EFGs) at the nuclei using Gaussian-type orbitals and periodic boundary conditions. This allows us to include relativistic effects variationally, which is important for compounds containing heavy elements and for a property dependent on the electronic structure close to the nuclei. The all-electron ...

Climate change and the advent of artificial intelligence-generated content are reshaping wine marketing. The interplay between consumer focus on naturalness and sustainable farming practices and the proliferation of artificial intelligence-generated content represents a particularly salient area of research. However, the extent to which the presence of fictitious artificial intelligence-generated ...

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 ...