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Mot bakgrund av ett ökat individualiserat arbetsliv och ökade krav riktas denna studie mot lärares kompetensutveckling i en sådan kontext. Studiens syfte är att öka kunskapen om lärares möjligheter till kompetensutveckling och hur lärare upplever och hanterar ansvaret för sitt eget lärande och utveckling i ett arbetsliv präglat av individualisering och ökade krav. Det mynnar ut i följande frågestä
Textile recycling is highly needed as great amounts of waste are produced every year and most of it is put into landfill or incinerated. This thesis lays the foundations for a quality control system which may be applied for controlling the recycling of cellulosic textiles in an upcoming pilot plant based on ShareTex’s technology. The quality control system was constructed as a mathematical model r
This thesis examines how female-targeting fintech firms can internationalize in ways that genuinely promote financial inclusion for women. Conducted as an exploratory interview study with Female Invest, it builds on the broader observation that gender remains largely absent from fintech’s outlook. The study addresses two key research gaps. First, financial inclusion efforts often overlook how cult
The bulk of Norwegian offshore oil and gas platforms are self-sustained with energy, burning a portion of the extracted gas in turbines to power production. Replacing this energy with electricity from renewables – electrifying – has been put forward as a way to quickly slash domestic emissions. This, all while retaining and expanding fossil fuel production, whose lion’s share of emissions stem not
Biometric fingerprint recognition is a cornerstone of modern authentication systems, yet conventional convolutional neural network approaches often struggle with challenging cases, subjected to noise and partial overlap. This thesis explores the potential of transformer-based architectures to address these challenges. We design, implement, and evaluate five models on a large-scale dataset of over
To reduce reliance on energy-intensive, chemically synthesised nitrogen sources in microbial cultivation, we investigated the integration of the nitrogen-fixing bacterium Azotobacter vinelandii into a bioconversion process with the recombinant yeast Saccharomyces cerevisiae. Our objective was to develop a more sustainable approach by utilising biological nitrogen fixation to supply ammonium direct
Reverse electrodialysis is a membrane-based technology that utilizes the salinity gradient between two solutions (e.g. river water and seawater) to generate sustainable energy. A critical component of RED systems is the spacer, which ensures effective flow distribution and ion exchange through the membranes. Conventional spacers suffer from the shadow effect, which limits ion transport and reduces
The dune regions of the Curonian Spit are undergoing a gradual deflation and transformation towards a vegetated surface as a result of extensive forestation and dune stabilization efforts limiting sand input to the dunes. Current dune monitoring in the Spit relies mostly on field levelling, whereas radar interferometry – used extensively in land surface monitoring elsewhere – is not utilized. This
A challenge when predicting physiological corrosion behaviour of biomaterials is the lack of established correlation between the results from in vitro and in vivo studies. This project investigates how the selection of immersion testing method affects the degradation of magnesium based alloys by comparing corrosion rates obtained from three methods: bioreactor, incubator and isothermal calorimetry
Electrocardiogram (ECG) is an important tool for diagnosing myocardial infarction (MI), but analyzing the ECG signals can sometimes be difficult for physicians. Machine learning could potentially help provide a fast and consistent interpretation of ECG signals. This study aims to evaluate the performance of different machine learning models for classifying MI using ECG data from the PTB-XL dataset
We investigate the validity of thermodynamic uncertainty relations (TURs) in a strongly correlated quantum dot system operating in the Kondo regime. TURs place fundamental bounds on the trade-off between precision and dissipation in non-equilibrium systems, and while these bounds are rigorously proven for classical stochastic dynamics, they are not guaranteed to hold in quantum-coherent, strongly
100 000 elderly fall each year, costing the healthcare system up to 750 million SEK. Beyond the financial part, these accidents could lead to serious injuries such as head trauma or hip replacements, and in the worst case, even death. This project aims to find a preventive technique that will make life easier for the elderly while saving money and resources for society. The aim is to gather data
This thesis investigates the use of several acceleration schemes to improve the performance of the primal-dual hybrid gradient algorithm for linear programming (PDLP), a state-of-the-art first-order method for linear programming (LP). The three main acceleration schemes investigated are: Polyak heavy ball momentum, Nesterov acceleration, and steering vectors selected in a residual momentum directi
The road freight sector’s significant contribution to greenhouse gas emissions necessitates emission mitigating strategies to meet climate targets, such as the Paris Agreement’s goal of 43% emission reduction. While Battery Electric Trucks (BETs) show great potential to reach these goals, their successful integration hinges on optimization and route planning. This thesis investigates the condition
Antibiotic resistance is a threat that could result in severe consequences for the public health. The synthesis of new antibiotics is therefore increasingly more important. Sialic acid is a sugar which aids bacterial growth, but the opposite effect could occur if bacteria were prevented from utilizing this sugar. This could be achieved through inhibition of pmSiaT, a protein which transports siali
This thesis investigates the feasibility and performance of implementing attention-based machine learning models for high-precision cellular localization on low-power hardware. While such models, particularly those using the self-attention mechanism, have demonstrated impressive accuracy in extracting spatial information from wireless signals, they typically rely on GPU acceleration, limiting thei
In this thesis, the required shielding for biologically safe radiation levels during the operation of the shortHIBEAM beamline at the European Spallation Source (ESS) in Lund, Sweden, is presented. The shortHIBEAM beamline is 25 meter long, including a 10- meter magnetically shielded section, a detector and an optional shutter system inside the bunker wall. The shortHIBEAM beamline model was desig
Machine Protection Systems (MPS) at the European Spallation Source (ESS) aim to protect equipment from damage while minimizing accelerator downtime with respect to safety and availability requirements. Main Control Room operators and MPS experts rely on alarm systems to effectively detect faults and guide intervention actions. Current implementations in the Fast Beam Interlock System (FBIS) are pr
I use the full count data of census year 1910 to examine the intermarriage determinants in Swedish immigrants and the consequences to those who were married to natives compared to their counterparts in endogamy. The results from intermarriage determinants were in line with prior research in general. The results showed that immigrants in exogamy with natives wouldn’t have a high probability o
