Filtyp
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
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
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
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
Rätten ska obligatoriskt verka för förlikning enligt 42 kap. 17 § Rätte-gångsbalken. Lagtexten saknar i stor del anvisningar för vad det innebär att en domare “verkar” för förlikning. Syftet med uppsatsen är att klargöra rättens skyldigheter och möjligheter i förlikningsverksamheten vid dispo-sitiva tvistemål. Det görs genom att besvara tre delfrågor. Under vilka om-ständigheter ska rätten verka fThe court is under a mandatory obligation to promote settlement according to Chapter 42, Section 17 of Rättegångsbalken. However, the statutory provis ion largely lacks guidance on what it entails for a judge to “promote” settle ment. The purpose of this thesis is to clarify the court’s duties and discret ionary powers in settlement efforts within dispositive civil cases. This is done by address
Bakgrund: Postoperativa kognitiva komplikationer, såsom postoperativt delirium (POD) och postoperativ kognitiv dysfunktion (POCD), är vanliga hos äldre patienter efter kirurgi. Anestesidjup har identifierats som en möjlig påverkande faktor, där övervakning med bispektralt index (BIS) kan bidra till en mer individanpassad anestesistyrning och därmed minska risken för negativa kognitiva utfall. Tidi
3D Gaussian Splatting (3DGS) has emerged as the latest breakthrough in 3D reconstruction since it can provide photorealistic 3D reconstruction with real-time rendering. Despite its increasing popularity, it lacks an accessible and clear end-to-end workflow, and the use for it in interactive and immersive applications remains largely unexplored. Furthermore, with the constant development of new 3DG
This thesis aims to address the complex legal challenges related to the responsibility of multinational corporations for human rights violations and environmental harm in global supply chains. Starting from the context of increasing pressure on transnational businesses and the shortcomings of soft law instruments such as the UN Guiding Principles and the OECD Guidelines, the study examines the pot
Rehabilitation exercises are essential for recovery from many injuries, and their practice is guided by physical therapists in order to avoid the risk of further damage. The physical therapists have limited tools for conducting a quantified assessment of movement quality and this study investigates whether machine learning could be used to improve that process. A way to assess movement is to analy
