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The purpose of this thesis is to examine how state biographical narratives can change and how this process might affect a state’s ontological security. Moreover, it looks at whether interstate friendship could alleviate any feelings of anxiety caused by such changes. Using the case of Austria after World War II, the analysis focuses on political elites’ articulations of Austrian state identity alo
Objective: In primary health care in southern Sweden, interprofessional medication reviews are conducted, to a limited extent, for patients living independently, with the purpose of optimising their pharmacological treatment. These medication reviews have identified and addressed many important issues regarding the patients’ medication. However, there is limited knowledge regarding the participati
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
Given the cost constraints of the European health-care systems, criteria are needed to decide which genetic services to fund from the public budgets, if not all can be covered. To ensure that high-priority services are available equitably within and across the European countries, a shared set of prioritization criteria would be desirable. A decision process following the accountability for reasona
Anaphoric dependencies in real time: Processing of Russian numerical constructions Maria Polinsky and Eric Potsdam Harvard University and the University of Florida Natural language has numerous ways to encode anaphoric dependencies, including filler-gap (movement) constructions, antecedent-anaphor relations, control, variable binding, and coreference. Such relations can be created in the syntax (e
Background: Previous studies have reported an increased fracture risk after bariatric surgery. Objective: To investigate the association between different bariatric surgery procedures and fracture risk. Methods: Incidence rates and hazard ratios for fracture events were analysed in the Swedish Obese Subjects study; an ongoing, nonrandomized, prospective, controlled intervention study. Hazard ratio
This paper focuses on the computation of the joint spectral radius (JSR), when the involved matrices are sparse. We provide a sparse variant of the procedure proposed by Parrilo and Jadbabaie to compute upper bounds of the JSR by means of sum-of-squares (SOS) programming. Our resulting iterative algorithm, called SparseJSR, is based on the term sparsity SOS (TSSOS) framework developed by Wang, Mag
More reliable and faster prediction methods are needed to interpret enormous amounts of data generated by sequencing and genome projects. We have developed a new computational tool, PON-P2, for classification of amino acid substitutions in human proteins. The method is a machine learning-based classifier and groups the variants into pathogenic, neutral and unknown classes, on the basis of random f
The current study was made to develop a biosensor based on a single-chamber microbial fuel cell in which anaerobes were retained in the anode compartment separated from the cathode compartment by a proton exchange membrane. In the sensor a replaceable anaerobic consortium was used for analyzing biodegradable organic matter. The anaerobes acted as biocatalysts in oxidizing organic matter and transf
In this paper we address absolute camera pose estimation. An efficient (and standard) way to solve this problem, is to use sparse keypoint correspondences. In many cases point features are not available, or are unstable over time and viewing conditions. We propose a framework based on silhouettes of quadric surfaces, with special emphasis on cylinders. We provide mathematical analysis of the probl
Robot control through contact is challenging as it requires reasoning over long horizons and discontinuous system dynamics. Highly dynamic tasks such as Air Hockey additionally require agile behavior, making the corresponding optimal control problems intractable for planning in realtime. Learning-based approaches address this issue by shifting computationally expensive reasoning through contacts t
In TSP with neighborhoods (TSPN) we are given a collec-tion X of k polygonal regions, called neighborhoods, with totally n ver-tices, and we seek the shortest tour that visits each neighborhood. TheEuclidean TSP is a special case of the TSPN problem, so TSPN is alsoNP-hard. In this paper we present a simple and fast algorithm that, givena start point, computes a TSPN tour of length O(log k) times
A fast spectral approximation of a narrow-band computer model is proposed for prediction of thermal radiation in a generally nonisothermal and nonhomogeneous combustion environment. The approximation is made by assuming each discretized spatial element along a line of sight to be locally "gray" within each small narrow-band spectrum interval. For each spatial element, the local equivalent spectral
Let C be a simple(1) polygonal chain of n edges in the plane, and let p and q be two arbitrary points on C. The detour of C on (p, q) is defined to be the length of the subchain of C that connects p with q, divided by the Euclidean distance between p and q. Given an epsilon >0, we compute in time O((1)/(epsilon) n log n) a pair of points on which the chain makes a detour at least 1/(1 + epsilon) t
