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The European Spallation Source will, once fully operational in 2025, be the world's brightest neutron source. The neutrons will be generated by bombarding a tungsten target with protons accelerated to 96\% the speed of light by electromagnetic fields confined in 155 radio-frequency cavities along the world's most powerful linear accelerator.This thesis has been motivated by the strict control spec
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This paper considers a housing market with price restrictions. On such market, price equilibrium may be excluded for certain preference profiles. However, the existence of a unique minimal rationing price equilibrium has previously been established on a general preference domain that contains “almost all” preference profiles. This type of equilibrium has been demonstrated to be an important ingred
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We discuss thermal fluid-structure interaction processes, where a simulation of the time-dependent temperature field is of interest. Thereby, we consider partitioned coupling schemes with a Dirichlet-Neumann method. We present an analysis of the method on a model problem of discretized coupled linear heat equations. This shows that for large quotients in the heat conductivities, the convergence ra
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Aerosols are significant to the Earth's climate, with nearly all atmospheric aerosols containing organic compounds that often contain both hydrophilic and hydrophobic parts. However, the nature of how these compounds are arranged within an aerosol droplet remains unknown. Here we demonstrate that fatty acids in proxies for atmospheric aerosols self-assemble into highly ordered three-dimensional na
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Providing sensory feedback for myoelectric prosthetic users can not only increase the manipulation ability but can also introduce a feeling of embodiment. Previous research has demonstrated the feasibility of providing mechanotactile or vibrotactile feedback on the remaining stumps of amputees. To improve the recognition rate and reduce mental work load when identifying stimulation patterns, we pr
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Gaussian models are frequently used for road elevations. However, these models are often only valid for short sections of the road. Here we present a comprehensive approach to describe various aspects of road surface/elevation by using extensions of Gaussian models arising from random gamma distributed variances. These random variances result in the Laplace distribution and thus we refer to the so
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One of the most important constraints on large-scale civil engineering projects is economic feasibility. All projects are restricted by the cost of construction and materials. A cost analysis of alternative foundation designs for wind turbines is done in this work to aid the choice of design solution. The suitability of different foundation types are compared including a novel solution, with a cir
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Multi-gigawatt-scale hydrogen production by water electrolysis is central in the green transition when it comes to storage of energy and forming the basis for sustainable fuels and materials. Alkaline water electrolysis plays a key role in this context, as the scale of implementation is not limited by the availability of scarce and expensive raw materials. Even though it is a mature technology, th
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Increasing awareness of the extent of preventable harm from healthcare has led to efforts to improve patient safety through a variety of efforts, including legislation. Extending legal privilege to quality and safety reviews leads to further harm for many patients, families and healthcare providers. The intentional isolation, silencing and exclusion after the incident undermines trust, prevents le
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Ultrafast lasers reaching extremely high powers within short fractions of time enable a plethora of applications. They grant advanced material processing capabilities, are effective drivers for secondary photon and particle sources, and reveal extreme light-matter interactions. They also supply platforms for compact accelerator technologies, with great application prospects for tumor therapy or me
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Increasing the modal share of the single wagonload transport in Europe requires improving the reliability and predictability of freight trains running between the yards. In this paper, we propose a novel machine learning-assisted macro simulation framework to increase the predictability of yard departures and arrivals. Machine learning is applied through a random forest algorithm to implement a ya
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Although fossils are relatively common in some sedimentary deposits, the majority consists of fragmented or distorted skeletal hard parts (such as shell and bones). However, in rare cases, special burial and diagenetic conditions have allowed a greater portion of the original anatomy to be incorporated into the fossil record. This exceptional type of preservation is characterised by the retention
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A new rapid method for immunochemical quantitation - immunocapillarymigration - is presented. It is based upon.....
