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A simple and reproducible model for the experimental study of the normally functioning human appendix is described. The appendix removed from a human is transplanted into a nude mouse and is kept vital for at least 4 hours. This model is an improvement on previous models. It corresponds well with the working of the normal human appendix as regards tissue type and characteristics. Results are easil

Background: The International Consortium for Health Outcomes Measurement (ICHOM) was founded in 2012 to propose consensus-based measurement tools and documentation for different conditions and populations.This article describes how the ICHOM Older Person Working Group followed a consensus-driven modified Delphi technique to develop multiple global outcome measures in older persons. The standard se

This paper describes a de-icing salt-frost scaling test method for analysis of the salt-frost scaling behaviour in high-performance concrete with various binders. The method was therefore designed to result in considerable scaling damage for the concrete considered to be salt-frost resistant. In addition, the experimental set-up was designed to avoid leakage, and to allow testing of a large number

The T-REX neutron spectrometer at the European Spallation Source will use Multi-Grid Technology, which is a voxelised proportional counter relying on 10B4C coatings to detect neutrons scattered by the sample under investigation. Measurements of the position dependence of pulse-height and relative detection efficiency of a Multi-Grid prototype of the T-REX spectrometer are presented for two differe

Essentially all academic research of today relies on analysis of data from a wide range of sources. Several underpinning, and rapidly developing, technologies are supporting the analysis of this data. Visualization serves as an interface to this ecosystem of tools and methods and integrates them into environments supporting scientific workflows, effectively sharing cognitive load between computers

Gal-3 appears clinically useful for ruling out short-term mortality in patients with acute dyspnea and could have role as a negative prognostic marker in the emergency department.

The field of general-purpose robotics has recently embraced powerful probabilistic diffusion-based models to learn the complex embodiment behaviours. However, existing models often come with significant trade-offs, namely high computational costs for inference and a fundamental inability to quantify output uncertainty. We introduce Normalizing Flows Policy (NF-P), a conditional normalizing flow-ba

Annual report 2025 for REAL, Centre for Retail and Logistics

Purpose This study aimed to evaluate the outcome of argon laser therapy for nonresolving central serous chorioretinopathy (CSCR) in a Saudi patient population. Patients and methods This is a prospective case series study of 20 eyes (20 patients) having nonresolving CSCR. In all of them, no signs of spontaneous improvement were noticed in 3 months. The assessment of the patients, including history

Shared ground heat exchange can deliver low-carbon electrified heat where individual heat pumps or heat networks are not feasible, such as in terraced homes. However, there is a policy gap around these mid-scale heat solutions. We outline the benefits and challenges of shared ground heat exchange, and actions needed by policy, housing, and innovation stakeholders to support further deployment.

Denna policy brief presenterar policyrelevanta resultat från Women in Power-projektet, vilket undersöker kvinnors professionella nätverkande och kollektivisering inom den svenska energisektorn och hur detta kan bidra till ökad jämställdhet. Projektet är finansierad av Energimyndigheten (2023–2027; P2022-01070). Denna rapport är baserad på två artiklar inom Women in Power-projektet. Genom struktureThis policy brief presents policy-relevant findings from the Women inPower project, which examines women’s professional networking and collective action within the Swedish energy sector and how this can contribute to greater gender equality. The project is funded by the Swedish Energy Agency (2023–2027; P2022-01070). This report is based on two articles from the Women in Power project. Through str

This paper studies cone-preserving linear discrete-time switched systems whose switching is governed by an automaton. For this general system class, we present performance analysis conditions for a broadly usable performance measure. In doing so, we generalize several known results for performance and stability analysis for switched and positive switched systems, providing a unifying perspective.

Rapporten analyserar hur ansvar, roller och samverkansformer mellan offentliga och privata aktörer behöver utformas för att hantera omfattande samhällsomställningar, med fokus på klimatomställningen. Industrins, och energisystemens omställning kräver mer än gradvisa anpassningar. Rapporten betonar att djupgående strukturförändringar aktualiserar problem som teknologiska inlåsningar, koordineringss

Biomanufacturing increasingly relies on computational modeling to strengthen process understanding, speed up process development, scale-up and scale-down, improve experimental design, and reduce reliance on costly and laborious wet lab activities. Here we present CADET-Hub, a modular web-based platform for biomanufacturing and stability modeling, developed within the Inno4Vac project. CADET-Hub un

The 2019 IARAI traffic4cast competition is a traffic forecasting problem based on traffic data from three cities that are encoded as images. We developed a ResNet-inspired graph convolutional neural network (GCN) approach that uses street network-based subgraphs of the image lattice graphs as a prior. We train the Graph-ResNet together with GCN and convolutional neural network (CNN) benchmark mode

We extend the generalized information criteria framework for model selection to high-dimensional sparse statistical jump models, a recent class of statistically robust and computationally efficient alternatives to hidden Markov models. Specifically, we derive expressions for the model fit and complexity to construct suitable information criteria for hyperparameter selection. In extensive simulatio