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Background: Previous studies have shown variations in management routines for children with traumatic brain injury (TBI) in Sweden. It is unknown if this management has changed after the publication of the Scandinavian Neurotrauma Committee guidelines in 2016 (SNC16). Also, knowledge of current practice routines may guide development of an efficient implementation strategy for the guidelines. The
Recently a new, time saving, approach to the determination of the composition at which a microemulsion is balanced has been developed using the so called HLD-titration. The key of the method is the observation that in correspondence of the balanced state where the microemulsion coexist with excess oil and water (Winsor III phase equilibrium), the level reached by the three-phasic system under stir
In this article, we construct and analyse an explicit numerical splitting method for a class of semi-linear stochastic differential equations (SDEs) with additive noise, where the drift is allowed to grow polynomially and satisfies a global one-sided Lipschitz condition. The method is proved to be mean-square convergent of order 1 and to preserve important structural properties of the SDE. First,
Tight binding models are widely used in large scale electronic structure calculations of nanostructures. Their atomistic nature makes them flexible, but also means the computational cost increases rapidly with system size. The large number of calculations required to design nanostructures makes computational efficiency desirable. We have developed a method to increase computational speed while ret
The gallides YbNi3Ga9 and YbCu3Ga8 were obtained from flux growth reactions of Yb, various transition metals M, and Ga, to test a stability diagram that predicts the formation of ternary intermetallic phases. The structure of YbNi3Ga9 was redetermined to resolve discrepancies in the literature. For an untwinned crystal of YbNi3Ga9, the ErNi3Al9-type structure was confirmed (space group R32, a =
Study region Irtysh River Basin, a transboundary river laying in the North hemisphere and serving as a home for around 15 million people in China, Kazakhstan, and Russia. Study focus Considering existing pressures of climate change and anthropogenic activities on water resources, this research aims to evaluate recent (2010–2022) trends in research about a state-of-the-art of the river in a matter
We present a statistical mechanics theory of rubber-like elasticity in swollen and unswollen polymer networks characterized by explicitly non-Gaussian distribution functions (Laplace's, Cauchy's, and continuous Poisson's in the exponential limit). An important outcome is the derivation of new families of statistical and mechanical laws, including a discussion of energy functions of strain invarian
Using a penalized maximum likelihood, we estimate, for the first time, the velocity distribution of white dwarfs in the solar neighbourhood. Our sample consists of 129 675 white dwarfs within 500 pc in Gaia Early Data Release 3. The white dwarf velocity distributions reveal a similar structure to the rest of the solar neighbourhood stars, reflecting that white dwarfs are subject to the same dynami
The individual wishes and priorities of patients with advanced disease are too often neglected, making a deck of cards with statements reflecting potential wishes and priorities a useful conversation tool. However, in the most ill patients, the card selection and sorting process may be too strenuous. The aims of this study were to explore the wishes and priorities of patients receiving palliative
Objectives: Cervical nerve root compression can lead to radiculopathy in the arm. Some studies have reported low accuracy in determining the responsible nerve root in both cervical and lumbar regions. This prospective, observational, pragmatic study aimed to determine the accuracy of the clinical evaluation relative to magnetic resonance imaging (MRI) findings in patients with arm radiculopathy. M
Objective: Given the public health importance of opioid use disorder (OUD), we sought to understand better its risk predictors in the Swedish general population. Method: We examined the Swedish population, born 1950–1970 (n = 2,092,359), and followed through 2018. Using Cox, logistic, and co-sibling models, we explored associations between a wide range of putative risk factors and a first onset of
Mathematical modelling in glucose metabolism has proven very useful for different reasons. Several models have allowed deeper understanding of the relevant physiological and pathophysiological aspects and promoted new experimental activity to reach increased knowledge of the biological and physiological systems of interest. Glucose metabolism modelling has also proven useful to identify the parame
Non‐apoptotic caspase‐3 activation is critically involved in dendritic spine loss and synaptic dysfunction in Alzheimer’s disease. It is, however, not known whether caspase‐3 plays similar roles in other pathologies. Using a mouse model of clinically manifest Parkinson’s disease, we provide the first evidence that caspase‐3 is transiently activated in the striatum shortly after the degeneration of
For decades, cluster initiatives and funding programmes have been used as instruments of industrial and innovation policy-addressing system failures by strengthening linkages among actors, fostering innovation, and developing more effective innovation systems. More recently, a growing segment of these initiatives are also focused on driving system-level transformation and contributing to broader s
In recent years Genuine Savings (GS) has emerged as an indicator of weak sustainability and predictor of socio-economic well-being. This paper presents the first long-term GS estimates for Norway, covering the period from 1865 until 2018. The preliminary results indicate unsustainable development throughout most of the period leading up to the Second World War and positive GS since 1946, with a si
The economic development of Chile represents an interesting case of divergence and convergence with developed countries. In the late nineteenth century, its GDP per ca-pita was comparable with some countries of the European periphery and far exceeded the current developed countries of South East Asia. However, after the First World War and particularly in the years following the Great Depression,
We propose a novel multi-pose loss function to train a neural network for 6D pose estimation, using synthetic data and evaluating it on real images. Our loss is inspired by the VSD (Visible Surface Discrepancy) metric and relies on a differentiable renderer and CAD models. This novel multi-pose approach produces multiple weighted pose estimates to avoid getting stuck in local minima. Our method re
Climate change adaptation is rising on the agenda of cities. However, critics have argued that urban adaptation efforts largely focus on preserving economic growth while overlooking the root causes of unequal vulnerability to climate impacts, giving rise to climate injustices. In response, literature on transformational adaptation has politicized these issues but it has remained largely conceptual
