Search results

INTRODUCTION: The soluble urokinase-type plasminogen activator receptor (suPAR) has recently been associated with a decline in kidney function and incidence of chronic kidney disease in patients with cardiovascular disease undergoing cardiac catheterization, yet little is known whether suPAR is associated with deterioration of kidney function in the general population.METHODS: In the population-ba

The home is constituted of materials, cultural meanings and practices (Blunt & Dowling 2006), which means, among other things, that we make home through our domestic practices (Hollows 2008). In an ongoing cultural historical project on home management we are studying practices of domestic paperwork during the 20th century in Sweden. Through interviews with people born before 1940, and the stu

The dissociation of DNA-cationic surfactant complexes with the addition of a negative amphiphile was studied by fluorescence microscopy (FM). The unfolding of DNA molecules previously compacted with cationic surfactant was shown to be dependent on the anionic surfactant chain length; lower amounts of a longer-chain surfactant were needed to release DNA into solution. However, we observed no depend

While the inventor is often the driver of an invention in the early stages, he/she needs to move between different social networks for knowledge in order to create and capture value. The main objective of this research is to propose a literature-based framework based on innovation network theory and complemented with C-K theory, in order to analyze the invention/innovation process of inventors and

In this paper, we propose a blind channel deconvolution method based on a sparse reconstruction framework exploiting a wideband dictionary under the (relatively weak) assumption that the transmitted signal may be assumed to be well modelled as a sum of sinusoids. Using a Toeplitz structured formulation of the received signal, we form an iterative blind deconvolution scheme, alternatively estimatin

Background: A previous study has indicated poorer narrative ability during retelling in 5-year-olds with unilateral cleft lip and palate (UCLP) as a group, compared to peers without UCLP. Aim: To investigate if there are any differences between 5-year-olds with and without UCLP in narrative ability during retelling. Methods: A total of 83 children participated, 51 with UCLP and 32 without. They ha

Traditional matrix factorization methods approximate high dimensional data with a low dimensional subspace. This imposes constraints on the matrix elements which allow for estimation of missing entries. A lower rank provides stronger constraints and makes estimation of the missing entries less ambiguous at the cost of measurement fit. In this paper we propose a new factorization model that further

In this study, we have used the coarse-grained model developed for the intrinsically disordered saliva protein (IDP) Histatin 5, on an experimental selection of monomeric IDPs, and we show that the model is generally applicable when electrostatic interactions dominate the intra-molecular interactions. Experimental and theoretically calculated small-angle X-ray scattering data are presented in the

Are we using the right potential functions in the Conditional Random Field models that are popular in the Vision community? Semantic segmentation and other pixel-level labelling tasks have made significant progress recently due to the deep learning paradigm. However, most state-of-the-art structured prediction methods also include a random field model with a hand-crafted Gaussian potential to mode

The technological evolutions have promoted mobile devices from rudimentary communication facilities to advanced personal assistants. According to the huge amount of accessible data, developing a time-saving and cost-effective method for location-based recommendations in mobile devices has been considered a challenging issue. This paper contributes a state-of-the-art solution for a personalized rec

In this paper, we describe a new system to extract, index, search, and visualize entities in Wikipedia. To carry out the entity extraction, we designed a high-performance, multilingual, entity linker and we used a document model to store the resulting linguistic annotations. The entity linker, HEDWIG, extracts the mentions from text usinga string matching Engine and links them toentities with a co

A fully automatic system for abdominal organ segmentation is presented. As a first step, an organ localization is obtained via a robust and efficient feature registration method where the center of the organ is estimated together with a region of interest surrounding the center. Then, a convolutional neural network performing voxelwise classification is applied. Two convolutional neural networks o

This chapter explores the Nordic countries’ attempts to reconcile their environmental front-runner ambitions with their high productivity as advanced welfare states. On the one hand, the Nordics have taken leading positions in promoting environmental issues on the international stage. On the other hand, however, their high productivity, which is needed to support their welfare aspirations, has mad

Background: Humoral immune responses to infectious agents or vaccination vary substantially among individuals, and many of the factors responsible for this variability remain to be defined. Current evidence suggests that human genetic variation influences (i) serum immunoglobulin levels, (ii) seroconversion rates, and (iii) intensity of antigen-specific immune responses. Here, we evaluated the imp

Social interaction sensing and indoor positioning using are widely researched. However, many use cases only need to determine proximity, and not the exact location. In this paper, we describe two methods to determine which meeting each user is participating in using proximity data collected from a challenging real-world office.We show that the RSSI threshold approach to detecting proximity is not

Despite of having no explicit shape model, multi-atlas approaches to image segmentation have proved to be a top-performer for several diverse datasets and imaging modalities. In this paper, we show how one can directly incorporate shape regularization into the multi-atlas framework. Unlike traditional multi-atlas methods, our proposed approach does not rely on label fusion on the voxel level. Inst