Filtyp
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
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
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
Denna studie undersöker hur det generativa AI-verktyget Gemini kan användas i gymnasieskolans engelskundervisning för att stödja elevers muntliga språkutveckling. Studien bygger på kvalitativ metod, med diskursanalys av samtal mellan elever och Gemini samt tematisk analys av semistrukturerade intervjuer. Resultaten visar att de flesta elever upplevde samtalen som positiva och att flera språkliga d
Amidst a surge in global demand for materials driving the green transition, this thesis investigates how policymakers can best ensure sound environmental performance in the Swedish mining industry following unexpected mine closures. Current Swedish financial assurance mechanisms, intended to operationalize the Polluter Pays Principle, are hampered by unclear criteria and a focus on individual site
This bachelor's thesis examines how the Swedish low-price company Lager 157 communicates feminist and sustainability-related messages through a campaign launched in connection with the International Women's Day 2025. The campaign offered T-shirts for eight SEK to celebrate women, which sparked strong criticism in the media. The aim of the study is to analyze how the company performs its br
This thesis focuses on two primary parts: the design of a 10-bit medium high-speed, high-linearity current-steering digital-to-analog converter (DAC), and the implementation of a linear analog interpolation technique aimed at suppressing images at the DAC output. Design considerations for the current-steering DAC are discussed comprehensively, and the circuit is designed in 22nm Fully-Depleted Si
Kravet på medvetenhet är en förutsättning för straffrättsligt ansvar och innebär att en person ska ha varit i tillräcklig grad medveten om sitt handlande. Medvetenhetskravet regleras inte i lag, utan har utvecklats genom praxis och doktrin. Uppsatsens syfte är att redogöra för gällande rätt om kravet på medvetenhet inom svensk straffrätt och att undersöka dess potentiella påverkan på rättssäkerhetThe consciousness requirement is a prerequisite for criminal liability and means that a person must have been sufficiently conscious in order to be aware of his or her actions. The consciousness requirement is not regulated in law, it has developed through practice and doctrine. The purpose of the essay is to clarify the consciousness requirement in Swedish criminal law and to examine its potentia
