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Transfusion-related acute lung injury (TRALI) is the leading cause of transfusion-related mortality and can occur with any type of transfusion. TRALI is thought to be primarily mediated by donor antibodies activating recipient neutrophils resulting in pulmonary endothelial damage. Nonetheless, details regarding the interactions between donor antibodies and recipient factors are unknown. A murine a

The hypothesis that human reasoning and decision-making can be roughly modeled by Expected Utility Theory has been at the core of decision science. Accumulating evidence has led researchers to modify the hypothesis. One of the latest additions to the field is Dual Process theory, which attempts to explain variance between participants and tasks when it comes to deviations from Expected Utility The

Coherence Reliability

Design optimization of distributed energy systems has become an interest of a wider group of researchers due the capability of these systems to integrate non-dispatchable renewable energy technologies such as solar PV and wind. White box models, using linear and mixed integer linear programing techniques, are often used in their design. However, the increased complexity of energy flow (especially

In this thesis, we present and study a few approaches for constructing controllers for uncertain systems, using a combination of classical control theory and modern machine learning methods. The thesis can be divided into two subtopics. The first, which is the focus of the first two papers, is dual control. The second, which is the focus of the third and last paper, is multiple-input multiple-outp

Decisions regarding strategic software process improvement (SPI) are generally based on the management's viewpoint of the situation, and in some cases also the viewpoints of some kind of an SPI group. This may result in strategies, which are not accepted throughout the organisation, as the views of how the process is functioning are different throughout the company. This paper describes a method f

Machine calibration is important for optimal performance throughout the lifespan of industrial processes. A prime example is the pick-and-place process, where robots must manipulate objects accurately. Currently, this process is manually calibrated, which can be a complex practice. This thesis studies a software-based approach to error detection within the process, aiming to reduce the need for ma

The automotive industry in Europe has been forced to develop new solutions for the vehicles in order to fulfill the emission standards set by the European Commission according to European Emission Standards (Euro). The latest, Euro 6, involves new demands on continuous audits of emissions during a vehicles lifecycle. The standards are legislated and without approval a manufacturer may lose its lic

Political institutions are keen to use the best available scientific knowledge in decision-making. For environmental policy, relevant scientific evidence can be complex and extensive, so expert judgment is frequently relied upon, without clear links to the evidence itself. We propose a new transparent process for incorporating research evidence into policy decisions, involving independent synopsis

The development of production methods, research on material engineering and analysis tools for energy conversion processes establish a powerful design environment for any unconventional electromagnetic or electromechanical device. The design for manufacturability becomes the one of the main goals of the design apart from cost and performance improvement. The main focus of this paper lies on the de