The aim of this study was to explore whether social workers can become more explicit about their knowledge use if they are assisted in analyzing the rationales underlying their conclusions about diagnosis and treatment. By dissecting the rationales provided by 46 Swedish social work practitioners and students in response to two case vignettes describing vulnerable children and their families, and

To evaluate the possibility of obtaining detailed individual mobility data from archaeological teeth, the strontium isotope ratios on 28 human teeth from three separate Early-Mid Holocene, Swedish, foraging contexts (Norje Sunnansund, Skateholm and Västerbjers) were analysed through laser ablation. The teeth/individuals have previously been analysed using traditional bulk sampled thermal ionisatio

Research on democratic attitudes has recently turned to examine citizens’ views about the performance of specific democratic institutions in their country. Drawing on data from the European Social Survey (ESS6) and the Bright Line Watch Project (BLW) in the United States, this article argues that such evaluative questions carry high levels of cognitive complexity that lead to gender gaps in item r

Dealing with irregular domains, graph signal processing (GSP) has attracted much attention especially in brain imaging analysis. Motor imagery tasks are extensively utilized in brain-computer interface (BCI) systems that perform classification using features extracted from Electroencephalogram signals. In this paper, a GSP-based approach is presented for two-class motor imagery tasks classificatio

The study aimed to create a pipeline from Monte Carlo simulated projections of a Gate PET system to reconstructed images. The PET system was modelled after the GE Discovery MI (DMI) PET/CT, and the simulated projections were reconstructed with the stand-alone reconstruction software CASToR. Attenuation correction, normalisation calibration, random estimation, and scatter estimation for the simulat

Hip fractures following a low-impact fall are common in the elderly. Finite element (FE) models of the proximal femur can improve the prediction of fracture risk over current clinical standards. Foramina in the femoral neck may influence its fracture mechanics, albeit the majority of FE modelling approaches do not consider them. This study aimed to show how foramina affect fracture propagation and

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,

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