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This paper presents a pipeline which uses a multiatlas approach for multiorgan segmentation in whole-body CT images. In order to obtain accurate registrations between the target and the atlas images, we develop an adapted feature-based method which uses organ-specific features. These features are learnt during an offline preprocessing step, and thus, the algorithm still benefits from the speed of
Sikhism är i Sverige en liten religion med uppskattningsvis ett tusental anhängare. I det svenska samhället har sikherna främst uppmärksammats i samband med konflikter om deras symbolbruk av turban och dolk. Kapitlet behandlar några av de utmaningar som sikher möter i relationen med majoritetssamhället och reflekterar över hur de svenska sikherna har rekonstruerat och anpassat sitt religiösa liv t
Previous depth buffer compression schemes are tuned for compressing depths values generated when rasterizing static triangles. They provide generous bandwidth usage savings, and are of great importance to graphics processors. However, stochastic rasterization for motion blur and depth of field is becoming a reality even for real-time graphics, and previous depth buffer compression algorithms fail
In this paper, we describe Docforia, a multilayer document model and application programming interface (API) to store formatting, lexical, syntactic, and semantic annotations on Wikipedia and other kinds of text and visualize them. While Wikipedia has become a major NLP resource, its scale and heterogeneity makes it relatively difficult to do experimentations on the whole corpus. These experimenta
Kubernetes (K8s) is one of the best options available to deploy applications in large-scale infrastructures. Security has been a big concern for all practitioners in the K8s eco-system. Almost all cloud vendors have their security solution for K8s cluster, pods, workloads, etc. In recent years, a large number of open-source tools and projects related to K8s security have emerged to meet the increa
While Bayesian Optimization (BO) is a very popular method for optimizing expensive black-box functions, it fails to leverage the experience of domain experts. This causes BO to waste function evaluations on bad design choices (e.g., machine learning hyperparameters) that the expert already knows to work poorly. To address this issue, we introduce Bayesian Optimization with a Prior for the Optimum
Sweden and other developed countries are putting deliberate efforts into eHealth and digitalization of home care nursing. eHealth services have big potential in this area because they can provide mobile access to healthcare information. This study explores the eHealth services that home care nursing providers in Sweden currently use, plan to use, and have discarded. It also investigates their eHea
Path loss models are the most fundamental part of wireless propagation channel models. Path loss is typically modelled as a (single-slope or multi-slope) power-law dependency on distance plus a log-normally distributed shadowing attenuation. Determination of the parameters of this model is usually done by fitting the model to results from measurements or ray tracing. The authors show that the typi
Software developers use collection data structures extensively andare often faced with the task of picking which collection to use.Choosing an inappropriate collection can have major negativeimpact on runtime performance. However, choosing the right collectioncan be difficult since developers are faced with many possibilities,which often appear functionally equivalent. One approachto assist develo
This paper presents the use of the localized surface plasmon resonance (LSPR) sensor concept to probe the formation of macroscopic and laterally mobile supported lipid bilayers (SLBs) on SiOx-encapsulated nanohole-containing Au and Ag films. A comparison between Au- and Ag-based sensor templates demonstrates a higher sensitivity for Au-based templates with respect to both bulk and interfacial refr
Simultaneous Localization And Mapping (SLAM) is an important component in solving the problem of autonomous navigation — allowing machines such as selfdriving cars and mobile robots to find their way in the world without human instruction. Though there is a steadily growing body of literature in the field of SLAM, far fewer works currently address using hardware acceleration to speed up this compu
This research puts together two massive areas: voluntary certification programmes, specifically Type I ecolabelling (ISO 14024), aimed to incentivise and assist in providing customers with sustainable in all meanings products; and rechargeable batteries – inalienable element of portable electronic products. Moreover, the importance of batteries lifts up to an absolutely new level – with a rapid de
This special issue is devoted to empirical studies on inequalities in living standard for different social groups in the past measured as their sensitivity to economic hardship, such as high food prices. The studies are similar in that they all make use of longitudinal microdata constructed from population registers and related sources that record the demographic behavior of individuals and situat
We study a network formation game where n players, identified with the nodes of a directed graph to be formed, choose where to wire their outgoing links in order to maximize their PageRank centrality. Specifically, the action of every player i consists in the wiring of a predetermined number di of directed out-links, and her utility is her own PageRank centrality in the network resulting from the
Syftet med denna studie är att bidra till ny kunskap samt en djupare förståelse för intressentinvolvering i platsvarumärkesutvecklande och på vilket sätt detta kan vara värdeskapande för ett platsvarumärke som helhet. Detta genom att undersöka hur Helsingborgs stad arbetar med att involvera sina intressenter i sitt platsvaru-märkesarbete, genom projektet Sveriges matstad, och hur denna involveringThe purpose of this study is to gain new perspectives and a deeper understanding regarding stakeholder involvement in place branding, and in which ways this can be of value in the development of a place brand. This by examining how Helsing-borg city is working to involve their stakeholders in their place branding strategy, through their project Sveriges Matstad, and how this involvement is perceiv
RTK GNSS is a way of deciding the position of a GNSS receiver with high precision. It should theoretically be possible to determine the position with the precision of a couple of centimeters. Traditionally the RTK GNSS system consists of a base station and a rover. The base station knows its position and compares that to the information it gets from the satellites in order to calculate the error.
Under de senaste åren och i samband med pandemin har det skett en ökad motreaktion till urbaniseringen. Teknologins framsteg har gjort att fler kan arbeta på distans och man prioriterar sitt boende och livskvalité på ett nytt sätt. Allt fler väljer att flytta utanför städerna för att bo billigare, större och nära naturen. Ruralismen ställer högre krav på infrastrukturer och kollektivtrafiken och
Det är Herrens år 1399. Tyska orden försöker upprätthålla lag och ordning på Gotland strax efter att Kalmarunionen grundats. En man har nyligen hittats hängd i en ödegård norr om Visby. Det visar sig vara en rik borgare från Stockholm. Mördaren har sprättat upp hans mage och slängt trettio silverpenningar på marken under honom en kopia av hur Judas Iskariots död brukar avbildas. Bara några steg fr
Stability of Wardrop equilibria is analyzed for dynamical transportation networks in which the drivers' route choices are influenced by information at multiple temporal and spatial scales. The considered model involves a continuum of indistinguishable drivers commuting between a common origin/destination pair in an acyclic transportation network. The drivers' route choices are affected by their, r
