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What Can Nature Withstand? : Science, Politics and Discourses in Transboundary Air Pollution Diplomacy

Long-range transboundary air pollution generates pressing environmental problems such as the acidification of lakes and soils, forest decline and loss of biodiversity as well as threats to human health across Europe. The overall aim of this study is to explore the role of scientific expertise in environmental diplomacy by analyzing recent international agreements in the transboundary air pollution

Applications of laser spectroscopy to analytical chemistry, environmental monitoring and medicine

In this thesis spectroscopic techniques have been used in the fields of analytical chemistry, environmental and medical applications. In analytical chemistry, laser induced fluorescence was used to image the separation of substances during capillary electrophoresis. Here, an optical fibre imaging technique facilitated a higher sensitivity compared with a lens imaging technique. The motion of the s

Optimal Decisions with Limited Information

This thesis considers static and dynamic team decision problems in both stochastic and deterministic settings. The team problem is a cooperative game, where a number of players make up a team that tries to optimize a given cost induced by the uncertainty of nature. The uncertainty is modeled as either stochastic, which gives the stochastic team problem, or modelled as deterministic where the team

Att bli konstnär : Om identitet, subjektivitet och konstnärskap i det senmoderna samhället

This dissertation explore young peoples will to become artists. A group of artstudents have been interviewed and severel questions are raised. How do the students perceive their artistry and their role as artists? In what way is artistic creation meaningful to them? What does the relationship between the individual project of becoming an artist and their societal participation look like? As artist

Acute Myocardial Infarction: The Relationship between Duration of Ischaemia and Infarct Size in Humans - Assessment by MRI and SPECT

The effect of duration of ischaemia on final infarct size is well established in animal studies, but not fully evaluated in humans. Delayed contrast-enhanced magnetic resonance imaging (DE-MRI) can be used to distinguish between viable and non-viable myocardium and thus to quantify infarct size. We therefore used DE-MRI to investigate how duration of ischaemia affects final infarct size normalized

On Zero-dimensional Modelling of Combustion and NOx Formation in Diesel Engines

Diesel engine developers are facing major challenges when meeting future demands on NOx and particulate emissions. The exhausts after treatment systems are rapidly improving and the technologies available in a few years will be capable of cutting emission levels close to the demanded levels. However, in order to reach the low emissions required in a long-lasting, cost effective way, the potential

Full Cycle Engine Simulations with Detailed Chemistry

The modeling work developed in this thesis can be divided in two main areas of investigations: autoignition related to spark ignition engine and combustion and emissions formation in relation to diesel engines. A first version of a detailed kinetics engine simulation program, extended to handle full cycle calculations, was employed in order to demonstrate the strong effect that nitric oxide from

Multiple Enrollments and Neural Back-End Modeling for Automatic Speaker Verification

Tänk dig en värld där din röst är nyckeln till allt – från att låsa upp dörrar till att logga in på ditt bankkonto. Denna teknik, kallad röstverifiering, används redan i stor skala för att identifiera personer genom unika egenskaper i deras röst. Men tekniken har sina begränsningar. Bullriga miljöer, korta inspelningar och språkliga skillnader kan göra systemen mindre pålitliga. Hur kan robustheteThis thesis explores advancements in Automatic Speaker Verification (ASV) by examining the impact of multiple speaker enrollments and introducing Adaptive Neural Probabilistic Linear Discriminant Analysis (Adaptive NPLDA). Modern ASV combines front-end feature extraction, using state-of-the-art methods based on Deep Neural Networks (DNNs), such as the ReDimNet architectures, with back-end modeling

Arbetstagarens yttrandefrihet, sociala medier och saklig grund för uppsägning

The starting point for this essay is the employee's use of social media and the new types of conflicts that may arise from that use, in relation to the employer or between employees. The purpose of this paper is to investigate the law in relation to the employee's freedom of expression in social media. It also aims to investigate what possibilities the employer has to prevent and control v