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In the mid-twentieth century, Sweden distinguished itself as one of the most organized and participatory democracies in the world, with high levels of voting turnout and party membership. But in the late nineteenth century the situation was much the opposite – Sweden had for Western Europe a low degree of suffrage, and low political participation. To explain the turnaround, this paper explores ext

Due to the aging population, hip fracture incidence has been increasing over the past decades. Measurements of bone mineral density with dual energy X-ray absorptiometry are the gold standard for hip fracture risk assessment, where patients with a low bone density have a high risk of fracture. However, many people that are not diagnosed to be at risk, still fracture their hip. Calculations of bone

BACKGROUND: There is a worldwide shift towards increased consumption of ultra-processed foods (UPF) with concurrent rising prevalence of obesity. We examined the relationship between the consumption of UPF and weight gain and risk of obesity.METHODS: This prospective cohort included 348 748 men and women aged 25-70 years. Participants were recruited between 1992 and 2000 from 9 European countries

We considered the phase coherence dynamics in a Two-Frequency and Two-Coupling (TFTC) model of coupled oscillators, where coupling strength and natural oscillator frequencies for individual oscillators may assume one of two values (positive/negative). The bimodal distributions for the coupling strengths and frequencies are either correlated or uncorrelated. To study how correlation affects phase c

BACKGROUND: Recent whole genome sequencing studies report that up to 6% of the childhood cancer population harbour a pathogenic variant. Identification of families with hereditary cancer may improve early detection of cancer as well as treatment outcome. AIMS: The overall aim of this thesis was to investigate familial cancer risk in relatives of children with cancer and assess the prevalence of pa

This article studies the difference in the government response to COVID-19 in Norway and Sweden drawing upon theories of agenda setting, crisis management and multi-level governance. Despite having virtually identical systems of government and, initially, facing similar infection threats, Sweden opted for far less strict countermeasures than Norway. While Norway’s government response was similar t

The core of this Doctoral thesis is mainly based in the studies of one-dimensional initial-boundary value problems, which are given by a single non-linear hyperbolic partial differential equation (PDE) with non-convex flux function, or by a system of strongly degenerate parabolic PDEs, for the simulation of sedimentation processes of solid particles immersed in a fluid. Particular attention is pai

Contemporary evidence suggests that climate change and other co-occurring large-scale environmental changes, such as eutrophication, will have a considerable impact on aquatic communities. However, the interactions of these environmental changes on trophic interactions among zooplankton remain largely unknown. Here we present results of a mesocosm experiment examining how a couple of zooplankton p

Autologous (auto-) or allogeneic (allo-) hematopoietic cell transplantation (HCT) are accepted treatment modalities for mantle cell lymphoma (MCL). Recently, chimeric antigen receptor (CAR) T-cell therapy received approval for MCL; however, its exact place and sequence in relation to HCT is unclear. The ASTCT, CIBMTR, and the EBMT, jointly convened an expert panel to formulate consensus recommenda

Small birds are hot creatures with an average body temperature of 40° Centigrade, and so must burn energy at a formidable rate to stay warm. This becomes quite the challenge in winter when birds are 40-50 degrees warmer than outside for extended periods, even in comparatively mild regions such as Scotland. Thus, the little bird in winter must spend most of the day either feeding or searching for f

Objective: Streptococcus pneumoniae is the most common cause of bacterial meningitis, a disease that, despite treatment with antibiotics, still is associated with high mortality and morbidity worldwide. Diffuse brain swelling is a leading cause of morbidity in S pneumoniae meningitis. We hypothesized that neutrophil extracellular traps (NETs) disrupt cerebrospinal fluid (CSF) transport by the glym

The performance of heritage takes place in prestigious institutions such as museums and archives, in officially sanctioned spaces such as jubilees and public monuments, but also in more mundane, ephemeral and banal cultural practices, such as the naming of phenomena, viewing exhibitions or walking in the countryside. This volume examines the performance of Nordic heritage and the shaping of the ve

In contrast to the other chapters in Part V, Nina Wilén’s focus is on multilateral military interventions at the regional level: She explores the relationship between sovereignty, intervention, and the international normative order, by examining how ECOWAS, an African regional organization, justified its intervention in Liberia’s civil war referring to international norms. Based on a critical disc

Artificial Intelligence (AI) is increasingly used in critical applications. Thus, the need for dependable AI systems is rapidly growing. In 2018, the European Commission appointed experts to a High-Level Expert Group on AI (AI-HLEG). AI- HLEG defined Trustworthy AI as 1) lawful, 2) ethical, and 3) robust and specified seven corresponding key requirements. To help development organizations, AI-HLEG

Aim: The Eurasian otter (Lutra lutra) is a flagship species for global freshwater ecosystems. As one of the most widely distributed Palearctic mammals, the otter used to inhabit most provinces in China. However, after decades of relentless hunting and habitat degradation, the Sanjiangyuan Region is now one of last strongholds for this species in China. Currently, there still remains an enormous kn

Background and purpose: Radiation therapy treatment planning is a manual, time-consuming task that might be accelerated using machine learning algorithms. In this study, we aimed to evaluate if a triplet-based deep learning model can predict volumetric modulated arc therapy (VMAT) dose distributions for prostate cancer patients. Materials and methods: A modified U-Net was trained on triplets, a co