Filtyp
Hydrolysis of the straw material Paja Brava, a sturdy grass characteristic for the high plains of Bolivia, was studied in order to find suitable conditions for hydrolysis of the hemicellulose and cellulose parts. Dried Paja Brava material was pre-steamed, impregnated with dilute sulfuric acid (0.5% or 1.0% by wt), and subsequently hydrolyzed in a reactor at temperatures between 170 and 230 degrees
Hadfield steel is widely used in heavy-duty applications involving high impact loads and abrasive wear, such as mining and stone crushing equipment, due to its high toughness, ductility, and work-hardening ability. However, the as-cast microstructure contains carbide precipitation and chemical segregation, particularly along grain boundaries, which causes embrittlement and reduce service performan
Early Warning Systems (EWS) are crucial for safeguarding communities, but are vulnerable to failure due to a technocratic focus that excludes local communities. This thesis closes the gap between normative participatory principles and practical implementation by exploring the entry points or challenges that affect community participation. Adopting a complexity theory lens, the study conducts a qua
In this project I investigate how architecture can give form to an institution that creates the conditions for negotiation between competing narratives. It is situated at Sillhovstomten, the contested site behind the Nationalmuseum in central Stockholm. The failed Nobel Center proposal on this site revealed that it is not an empty void awaiting to be filled, but a place where different political,
Augmented Reality (AR), eller förstärkt verklighet, används för att kombinera digitalt innehåll med den fysiska omgivningen, men utveckling av AR-prototyper kräver ofta teknisk kunskap. Detta examensarbete jämför hur Unity och Snap Lens Studio stödjer snabb prototypframtagning av en reminiscensbaserad AR-upplevelse i en palliativ vårdkontext. Samma AR-koncept implementerades i båda verktygen och jAugmented Reality (AR) combines digital content with the physical environment, but creating AR prototypes often requires programming skills, 3D knowledge and interaction design experience. AR authoring tools can lower these barriers through visual interfaces and low-code workflows. This thesis compares how Unity and Snap Lens Studio support rapid prototyping of a reminiscence-based AR experience i
Denna studie undersöker upplevd tillit till LLM-baserade beslutsstödsystem inom svenska Försvarsmakten genom en scenariobaserad enkätstudie med 61 respondenter, där militär personal exponerades för fyra hypotetiska vinjetter med varierande systemautonomi och operativ kontext. Kvantitativa data analyserades med icke-parametriska metoder och kompletterades med tematisk analys av fritextsvar. Resulta
Komplex mjukvara kräver testning på flera nivåer. Detta examensarbete undersöker automatiserad testning av Radio Block Centre (RBC). En RBC bestämmer hur långt ett tåg får köra och i vilken hastighet. Examensarbetet har tre fokusområden. Det första området undersöker hur nuvarande testscript kan göras mer dynamiska genom att införa slumpmässighet. Slumpmässighet införs genom att variera tåglängd. Complex software must be tested carefully. This thesis looks at how automated testing can be improved for Alstom’s Radio Block Centre, a system that supervises trains and sends movement authorities. The work focuses on three practical ways to improve an existing automated test setup. First, it studies how the test suite can be made more dynamic by introducing randomness into current test scripts.
Background: Dietary management of phenylketonuria (PKU) focuses on restricting phenylalanine (Phe) intake. The European PKU guidelines and the PKU Dietary Handbook recommend a simplified PKU diet, allowing unrestricted consumption of many low-Phe foods, called free foods. While this approach may reduce the treatment burden for patients, its implementation varies. This study investigated practi
Learning accurate and stable time-advancement operators for nonlinear partial differential equations (PDEs) remains challenging, particularly for chaotic, stiff, and long-horizon dynamical systems. While neural operator methods such as the Fourier Neural Operator (FNO) and Koopman-inspired extensions achieve good short-term accuracy, their long-term stability is often limited by unconstrained late
Recent advances in the field of wild avian microbiome research have significantly deepened our understanding of the eco-evolutionary dynamics of bird–microbe interactions. Consequently, the field is now approaching a pivotal moment in uncovering the ultimate factors shaping avian microbiome structure, especially in relation to birds' ecological, evolutionary, and dietary diversity. Yet, avian micr
The modern construction industry is heavily resource-intensive, generating billions of tons of waste annually and contributing significantly to global carbon emissions. While recycling initiatives have grown, low-grade demolition debris such as broken bricks are systematically downcycled rather than reintegrated into structural architectural components due to their inherent heterogeneity and irreg
Global manufacturing companies operate in increasingly uncertain and complex environments where changes in sourcing strategies, supplier structures and logistics networks create significant challenges for decision- making. Traditional analytical methods often struggle to capture the dynamic and interconnected nature of modern supply chains, limiting their ability to support proactive evaluation
This Master’s Thesis explored how traditional computer vision methods and deep learning methods could be used to estimate hardwood and softwood fibre distributions in paperboard. 11 mixtures ranging from 100% hardwood to 100% softwood with 10% increments were analysed. The study compared the usefulness of tomograms and radiographs for the given task. It was found that traditional methods did not
Using Swedish Civil Contingency Agency (MSB) as a case study, this paper reviews the implementation of gender mainstreaming across seven DRR capacity development projects implemented between 2007-2017. Documentation and semi-structured interviews with the project managers responsible for the projects were used as main data sources. The overall finding of the study showed that gender was mains
A lot of research involves spectral or polarimetric imaging in applications such as medicine, material science, and molecular science. Spectral imaging allows the acquisition of multiple spectral bands of a scene, while polarimetric imaging enables the extraction of a scene's polarisation. Combining the two imaging techniques simultaneously is referred to as multiparametric imaging. Today, onl
The demand for better networks and faster speeds within telecommunications has been an ever-growing ambition for the last decade. A promising candidate for dealing with this demand is distributed multiple-input multiple-output (D- MIMO) systems that combine large-scale antenna arrays and decentralized node architectures. However, evaluating the possibilities and limitations of such system requires
Smart charging of electric vehicles can reduce cost by scheduling against time-varying electricity spot prices, but commercial systems generally rely on day-ahead prices and capture only within-day variation. This thesis investigates whether forecasting spot prices beyond the day-ahead horizon adds value for vehicle-integrated smart charging, and how that value varies across charging contexts. A t
