de senaste fem åren har begreppet universellutformning fått ett allt större genomslag i den svenskafunktionshinderpolitiken. En viktig anledning till detta är att Sverige ratificerade den så kalladefunktionsrättskonventionen år 2008. I konventionenförs universell utformning fram som huvudprincip ochnationellt åtagande för allt nytt som skapas i samhället.Det innebär att alla nya produkter, varor,

Families with children born to Danish mothers and German soldiers during WWII often resorted to secrecy to ward off discrimination and harm. Not knowing their origins, though, could have long-term consequences for the identity formation of these children born of war (CBOW). Based on a qualitative analysis of personal testimonies and interviews, this paper shows that the secret burdened,protected,

Cell-free massive MIMO systems consist of many distributed access points with simple components that jointly serve the users. In millimeter wave bands, only a limited set of predetermined beams can be supported. In a network that consolidates these technologies, downlink analog beam selection stands as a challenging task for the network sum-rate maximization. Low-cost digital filters can improve t

Collaboration between academia and actors outside academia (AOAs) has been proclaimed as a way for society to confront challenges in different fields. This ‘participatory imperative’ is anchored in EU research policy. The paper explores the participatory imperative in contemporary Swedish aging research. Three kinds of motives for participatory research as a way to societal impact emerged in the s

Climate change and urbanization are two major challenges when planning for sustainable energy transition in cities. The common approach for energy demand estimation is using only typical meso-scale weather data in building energy models (BEMs), which underestimates the impacts of extreme climate and microclimate variations. To quantify the impacts of such underestimation on assessing the future en

Mesenchymal cells are important components of specified niches in the lung, and can mediate a wide range of processes including tissue regeneration and repair. Dysregulation of these processes can lead to improper remodeling of tissue as observed in several lung diseases. The mesenchymal cells responsible remain poorly described, partially due to the heterogenic nature of the mesenchymal compartme

Microstructure imaging seeks to noninvasively measure and map microscopic tissue features by pairing mathematical modeling with tailored MRI protocols. This article reviews an emerging paradigm that has the potential to provide a more detailed assessment of tissue microstructure—combined diffusion-relaxometry imaging. Combined diffusion-relaxometry acquisitions vary multiple MR contrast encodings—

This article builds on qualitative interviews with employees in Norwegian and Swedish welfare state institutions and explores how they experience and make sense of their work with newly arrived refugees. The task of these street-level bureaucrats was to care for and simultaneously push the refugees to quickly become working taxpayers. Both as fellow human beings and as bureaucrats, however, our in

BackgroundImmunosuppressed patients are particularly vulnerable to severe infection from the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), risking prolonged viremia and symptom duration. In this study we describe clinical and virological treatment outcomes in a heterogeneous group of patients with severe immunosuppression due to various causes suffering from COVID-19 infection, who

In this paper, we present a side-channel attack on a first-order masked implementation of IND-CCA secure Saber KEM. We show how to recover both the session key and the long-term secret key from 24 traces using a deep neural network created at the profiling stage. The proposed message recovery approach learns a higher-order model directly, without explicitly extracting random masks at each executio

Background: Musculoskeletal pain is among the most common reasons for seeking care, specialist competence for its treatment in primary care limited and waiting lists for orthopaedics often amongst the longest. Many referrals to orthopaedics do not concern disorders that benefit from surgery. Manual therapy is effective, yet not integrated in national health care systems, and there is a lack of res

Background: Pediatric healthcare today shows a rising demand for research focusing on children’s perspectives on and consumer satisfaction with the nursing care they receive. Therefore, the purpose of this study was to translate and adapt the Consumer Emergency Care Satisfaction Scale (CECSS), a paper-based, self-administered 19-item questionnaire originally developed in the United States and targ

A novel natural small molecule, voacangine (Voa), has been discovered as a potent antiangiogenic compound. Notably, Voa directly binds the kinase domain of the vascular endothelial growth factor receptor 2 (VEGFR2) and thereby inhibits downstream signaling. Herein, we developed synthetic small molecules based on the unique chemical structure of Voa that directly and specifically target and modulat

Background: The COVID-19 pandemic has affected not only somatic health with over 3.7 million deaths worldwide, but also has had a huge impact on psychological health, creating what amounts to a mental health crisis. The negative effect of the pandemic on traditional addictions is well described and concerning, and the same has been seen for gambling. Objective: This study explores self-reported we

How can we, as IR scholars, contribute to the daunting task of crafting a different world? In this paper, I suggest that we begin by looking towards art. Based on a reading of Jacob Remin’s art project ‘Harvesting the Rare Earth,’ I consider how the material imaginary presented in this particular work of art – bio-engineered worms that can extract rare earth minerals from e-waste – provides IR sch

Light field microscopy (LFM) has emerged as a powerful tool for fast volumetric image acquisition in biology, but its effective throughput and widespread use has been hampered by a computationally demanding and artefact-prone image reconstruction process. Here, we present a novel framework consisting of a hybrid light-field light-sheet microscope and deep learning-based volume reconstruction, wher

BACKGROUND: From the beginning of COVID-19 pandemic, pregnant women have been considered at greater risk of severe morbidity and mortality. However, data on hospitalized pregnant women show that the symptom profile and risk factors for severe disease are similar to those among women who are not pregnant, although preterm birth, Cesarean delivery, and stillbirth may be more frequent and vertical tr