Filtyp
Introduction: Mono(ADP-ribosyl)ation (MARylation) is a post tranlational modification with important roles in stress responses and cellular signaling. Mass spectrometry is an efficient tool for identifying modified amino acid residues, optimisation of parameters is desired to develop an efficient method for detection of MARylation on proteins using the recombinant protein NUDT16. Background: MAR
The number and complexity of modern software systems have increased substantially since their inception. This unrelenting growth is making manual code review more difficult year by year, and the gap between the amount of code and security verification creates a critical need for automated tools that can assist developers in detecting vulnerabilities. A possible solution to this is large language m
The task of matching fixed-order event generation with the parton shower is physically non-trivial and closely related to an efficiency bottleneck of event generators. In this thesis, we examine and implement two novel matching schemes in KrkNLO and MAcNLOPS for the LHC process p p > Z Z. As both schemes generate positive-definite event samples, they can be interesting alternatives to MC@NLO. The
Dry powder inhalers (DPIs) are widely used to treat respiratory diseases such as asthma and chronic obstructive pulmonary disease (COPD). The performance of DPI formulations is influenced by the properties of the active pharmaceutical ingredient (API), but systematic comparative studies of different APIs under the same processing conditions remain limited. This study investigated the effects of di
Micro- and nanoscale pollutants dispersed at low concentrations in the environment pose increasing threats to human health and ecosystems. However, investigating the properties of individual particles remains challenging because conventional characterization methods mainly rely on ensemble measurements. Optical tweezers provide a promising approach for single-particle trapping and open new possibi
In recent years, as 6G wireless systems continue to develop, high-accuracy indoor localization has become increasingly important for future wireless systems. At the same time, reliable indoor positioning is needed by many location-aware applications, such as robotic navigation, emergency healthcare, and smart transportation. Since indoor wireless measurements can vary over time due to multipath pr
Wind damage is one of the most economically and ecologically significant natural disturbances in European forests, yet the cloud cover that follows major storms routinely blocks optical satellite acquisitions for weeks, precisely when rapid damage mapping is most valuable. Synthetic aperture radar (SAR) circumvents this limitation through all-weather imaging, but pixel-level windthrow detection fr
Innovation concentrations are increasingly extending beyond metropolitan cores into urban peripheries through science parks, research infrastructures, advanced manufacturing sites, and innovation districts. Yet their physical presence does not necessarily generate long-term local development capacity. Existing research has explained innovation stability largely through agglomeration, proximity, in
Traditional football analytics largely evaluates players through on-ball events such as shots, passes and dribbles, leaving the much longer periods of off-ball play poorly measured. This thesis develops a spatial framework for evaluating individual player contributions in crossing situations, where a cross is defined as an aerial or driven delivery from a wide area into the central penalty zone. T
Damaged or partially damaged pumps can cause issues that at best is an inconvenience and at worst a catastrophe. In order to prevent such issues it is necessary to catch any potential damage as early as possible. One possible solution is to use a sensor that can be placed on or near a pump in order to monitor it using audio. Audio based fault detection is still a relatively new field of research,
Therapeutic peptides are a fast-increasing segment in the pharmaceutical industry, and GLP-1 analogues stood for two out of the three most sold drugs last year, 2025. The most common production method of peptides is based on Merrifield’s discovery of solid-phase peptide synthesis (SPPS), which uses large volumes of hazardous chemicals like N,N-dimethylformamide (DMF), piperidine, and trifluoraceti
Denna studie undersöker hur rollen som kommunal beredskapssamordnare konceptualiseras i kommunala rekryteringsannonser. Genom en kvalitativ innehållsanalys av 30 annonser analyseras vilka kunskaper, kompetenser och arbetsuppgifter som tillskrivs rollen. Resultatet visar att beredskapssamordnaren framställs som en hybridroll där specialistkunskap inom civil beredskap kombineras med generella kompet
Brädspel blir alltmer populära, vilket gör det ännu viktigare att deras regelböcker går att läsa och förstå. Denna uppsats syftar till att analysera språkbruket i strategiska brädspel i förhållande till klarspråk och forskning om instruerande text, men också att undersöka spelarnas uppfattning om spelens regelböcker. Metoden för undersökningen består av en textanalys av spelen Terraforming Mars, R
Today, digital pre-distortion (DPD) is the predominant technique for linearising the power amplifiers (PAs) used in telecommunication radio transmitters. However, conventional DPD implementations rely on power-hungry digital signal processing, making energy efficiency a critical concern. Compute in-memory (CiM) architectures have previously been demonstrated to provide significant efficiency gains
This thesis investigates the application of Artificial Intelligence (AI) and Machine Learning (ML) methods to improve carbon footprint estimation for Integrated Circuit (IC) components in automotive Cost Engineering (CE). The work addresses challenges faced by electrical cost engineers at Volvo Cars: the manual, time-consuming process of collecting component specifications, and estimating Carbon D
This thesis aims to develop and evaluate a fast design and optimisation workflow for corrugated tubes used in tubular heat exchangers by combining computational fluid dynamics (CFD) simulations and machine learning. A steady-state Reynolds-averaged Navier-Stokes (RANS) model was established to simplify the simulation process and reduce computational time. Based on the selected CFD setup, a CFD dat
Bakgrund På grund av den rådande klimatkrisen måste Sverige göra omfattande klimatanpassningar för att skydda sig mot kommande och nuvarande effekter av klimatförändringarna. Ansvaret för arbetet tillfaller för det mesta Sveriges kommuner genom bland annat planmonopolet. Kommunerna kan söka finansiering för dessa typer av åtgärder genom matchade statsbidrag. Däremot är bidragsprocessen för de svenIn response to growing risks associated with climate change, Sweden must address the need for climate change adaptations. A central actor in addressing this is Swedish municipalities, due to their local planning monopoly and their ability to identify risks associated with local geographical conditions. However, studies have shown that there are several obstacles within the process of adapting to c
Det huvudsakliga syftet med denna studie var att undersöka könsbias i skattningen av ledares ledarskapsförmåga, samt undersöka om könsbias i dessa bedömningar kunde prediceras av deltagarnas grad av sexism. Totalt deltog 136 unga vuxna i Sverige (58.8% kvinnor) i vinjettstudien där de skattade ledare, utifrån en kort text, på fem dimensioner rörande ledarskapsförmåga. Sexism mättes genom Swedish MThe primary aim of this study was to investigate gender bias in the evaluation of leadership ability among leaders and to examine whether these evaluations could be predicted by the participants' degree of sexism. A sample of 136 participants (58.8% women) took part in the vignette study where they scored the leaders, from a short text, across five dimensions regarding leadership ability. Sexi
One of the greatest public health challenges of our time is mental health issues, particularly the increasing prevalence among young adults in Sweden. Meanwhile, artificial intelligence (AI), which is more accessible and widely used than ever before, is being discussed as a promising tool in mental health care. This report investigates the potential of a generative AI-based chatbot to promote ment
