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The proof of the pudding lies in eating, and that is why 6G testbeds are essential in the progress toward the next generation of wireless networks. Theoretical research toward 6G wireless networks proposes advanced technologies to serve new applications and drastically improve energy performance. Testbeds are indispensable to validate these new technologies under more realistic conditions. This ar
Distributed massive MIMO systems are expected to be part of the upcoming generation of wireless systems where joint communication and positioning opens the possibility of exploring new applications. In this work we investigate one of the various ways of deploying these kinds of systems, through the concept of Large Intelligent Surfaces (LISs). Although the concept of LISs is not completely novel,
Distributed massive multiple-input multiple-output (D-MIMO) has been identified as a promising technology to meet the service requirements of 6 G wireless networks and beyond. The coordination between a massive number of distributed antennas introduces stiff challenges and requires a substantial amount of computing resources that must be put together with careful algorithm-architecture codesign. T
This study explores the potential of utilizing hardware built for Machine Learning (ML) tasks as a platform for solving linear Partial Differential Equations via numerical methods. We examine the feasibility, benefits, and obstacles associated with this approach. Given an Initial Boundary Value Problem (IBVP) and a finite difference method, we directly compute stencil coefficients and assign them
Use of static program analysis tools can be highly beneficial in software development, but usage is hindered by usability issues. One method to better understand these issues is to gather user feedback, but it is challenging to get developers to invest effort in giving user feedback.In this paper, we investigate whether gamification can increase user engagement in feedback collection on static ana
This study develops a strategic framework to guide the adoption of Industry 4.0 technologies across various business sectors. Using a mixed-methods approach, the research combines an extensive literature review with empirical investigations, including case studies and surveys with industry practitioners. The framework integrates advanced digital technologies, such as artificial intelligence and im
The discovery of the role of α-synuclein in the pathogenesis of Parkinson's disease (PD) has opened new possibilities for the development of more authentic models of Parkinson's disease. Recombinant adeno-associated virus (AAV) and lentivirus (LV) vectors are efficient tools for expression of genes locally in subsets of neurons in the brain and can be used to express human wild-type or mutated α-s
OBJECTIVE: To compare measurements of the arterial blood volume (aBV), a perfusion parameter calculated from arterial spin labelling (ASL), and cerebral blood volume (CBV), calculated from dynamic susceptibility contrast (DSC) MRI. In the clinic, CBV is used for grading of intracranial tumours. MATERIALS AND METHODS: Estimates of aBV from the model-free ASL technique quantitative STAR labelling of
Diffusion kurtosis imaging (DKI) is an emerging technique with the potential to quantify properties of tissue microstructure that may not be observable using diffusion tensor imaging (DTI). In order to help design DKI studies and improve interpretation of DKI results, we employed statistical power analysis to characterize three aspects of variability in four DKI parameters; the mean diffusivity, f
This study is an attempt to take advantage of a cerebellar model to control a biomimetic arm. The cerebellar controller is a modified MOSAIC model which adaptively controls the arm. We call this model ORF-MOSAIC (Organized by Receptive Fields MOdular Selection And Identification for Control). The arm features a musculoskeletal model which is controlled through muscle activations by means of optimi
This study discusses the image of Sweden and Swedish society in Swedish-language instructional material used in the Swedish-language course for immigrants (S.F.I.). As such, the main source material for this study has been different textbooks used as instructional material in the S.F.I. course from 1967-2005. Theoretically, this study takes its inspiration from the branch of discourse analysis kno
Sites of Lobaria pulmonaria reported from the nemoral zone of the Swedish provinces Skåne and Blekinge since 1990 were revisited. At each locality, the habitat ecology and lichen viability were investigated. A substantial decline was noted, particularly in Skåne, as L. pulmonaria was found at only 24 sites, 22 of which were forests and two were wooded meadows. The commonest habitats for L. pulmonaSites of Lobaria pulmonaria reported from the nemoral zone of the Swedish provinces Skåne and Blekinge since 1990 were revisited. At each locality, the habitat ecology and lichen viability were investigated. A substantial decline was noted, particularly in Skåne, as L. pulmonaria was found at only 24 sites, 22 of which were forests and two were wooded meadows. The commonest habitats for L. pulmona
Diffusion is a molecular phenomenon and can be described as the process by which matter is transported from one part of a system to another as a result of random molecular motion. The diffusion coefficient is then a quantity that describes the mobility of the molecules in a media. In recent years, methods have been developed to image the diffusion of water in human tissue using magnetic resonance
Small independent (indie) game startups face fierce competition when developing games with limited time, budget, and resources. Continuously testing and experimenting with new ideas, features, and content is essential to validate and guide development toward a viable and successful game. Such continuous experimentation (CE) requires access to users and user data, which is often very limited in the
The topic of this thesis is how to infer geometric information using sound data. Achieving this requires solving several subproblems. First, signal processing of the recorded sound is needed to compute measurements of primitive geometric relations. Secondly, robust estimation is needed to go from primitive geometric measurements to more useful higher-level information such as the locations of micr
Ensuring functional safety is crucial for the deployment of autonomous systems in real-life dynamic environments, as they must operate reliably and safely among humans. However, existing safety systems are designed with a closed-world assumption and can over-constrain the system by shutting down the robot at every safety violation, limiting the robot’s ability to complete its tasks. To address thi
We use a closed-loop algorithm to accurately program hafnium zirconium oxide (HZO) ferroelectric tunnel junctions (FTJs) to arbitrary chosen target conductance values. The key enabler is suppression of conductance growth. We have identified two different mechanisms contributing to the total conductance of FTJs. By controlling both, we demonstrated an up to threefold increase of the usable conducta
Introduction: This study evaluated real-world cassette use and cost of levodopa-carbidopa intestinal gel (LCIG; 2000 mg levodopa equivalent dose [LED]) and levodopa-entacapone-carbidopa intestinal gel (LECIG; 1250 mg LED) pump treatments among patients with advanced Parkinson’s disease (PD) in Sweden. Methods: This was a non-interventional, longitudinal, retrospective, comparative study of patient
Background: Shiga toxin producing Escherichia coli (STEC) inducing hemolytic uremic syndrome (HUS) with multiple organ involvement is associated with significant morbidity and mortality. The treatment has mostly been focused on kidney, respiratory and cardiovascular supports and not against the bacteria that cause STEC-HUS. The use of bactericidal therapy has been shown to be antibiotic dependent
Parkinson’s disease (PD) is now recognized as a multisystem, heterogeneous neurodegenerative disease with fluctuating trajectories and complex symptom profiles. Despite therapeutic advances, many patients (particularly women and those in late stages) and their caregivers face substantial unmet needs across physical, psychological, social, and spiritual domains, which highlight the need for a more
