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The way resources are extracted, consumed and handled after use puts pressure on the environment. In order to slow down the flow of resources, circularity has emerged as a solution by the EU through the Circular Economy Action Plan. To make the transition to a circular economy possible, companies have to adjust their business models accordingly and Product-as-a-Service is one of many circular busi
The Integration of Machine Learning in OFDM Receivers The integration of Machine Learning (ML) into various fields has prompted exploration into the effectiveness of advanced ML architectures within Orthogonal Frequency Division Multiplexing (OFDM) receivers. Prior work by Nvidia demonstrated the promise of Graph Neural Networks (GNNs) in replacing key components of a traditional receiver, surpas
In this work, we study how Coherent Elastic Neutrino Nucleus scattering processes can be used to probe both B-L as well as Li-Lj dark matter models. While the B-L model is assumed to have no kinetic mixing, the whole interaction coming from the Standard Model particle’s coupling to the dark gauge field, the Li-Lj requires mixing to be detectable. The influence of free parameters (the dark coupling
Bakgrund: Nyexaminerade sjuksköterskor upplever ofta arbetsrelaterad stress i övergången från student till yrkesverksam. Det kan påverka både deras hälsa och kvaliteten på vården samt leda till att färre väljer att stanna kvar inom yrket. Syfte: Syftet med studien var att belysa nyexaminerade sjuksköterskors upplevelser av arbetsrelaterad stress. Metod: En icke-systematisk litteraturstudie av kval
Large language models (LLMs) have achieved remarkable capabilities but remain costly to deploy at scale. Knowledge distillation offers a way to transfer knowledge from large, high-capacity models into smaller, more efficient ones. This thesis investigates two key questions: (1) how specific design choices affect distillation performance, and (2) how distillation can be effectively performed in the
The purpose of this study was to illustrate social workers' experiences of treatment work with men who use, or have used, violence against their female partners and how they feel that the legal clarification in SoL affected the conditions for the treatment work with violent men. The study was based on semi-structured interviews with seven social workers from seven different cities in Sweden wh
Enzymatic hydrolysis using immobilized lipases for the production of free fatty acids and glycerol is a promising alternative to the current industrial standard. This study investigates a set of hydrolysis reactions catalysed by four different immobilization techniques to increase the knowledge on two-phase systems. The evaluation of how water purity, buffer salts, and water amount affect the reac
This study explores the renewable energy cooperation between China and the Gulf countries, particularly Saudi Arabia and the United Arab Emirates, focusing on how this collaboration addresses underlying structural asymmetries. These asymmetries include China's technological advancements, institutional frameworks, and discursive power, as well as the Gulf's resource and capital endowments.
This thesis investigates the effects of monetary policy shocks, both domestically from the Swedish Riksbank and internationally from the European Central Bank, on eight macro-sensitive Swedish equity indexes over the time period 2004-2024. Employing high-frequency yield changes around policy announcements, we extract level, slope and curvature factors via principal component analysis and use these
Multi-dimensional spectroscopy is a technique used by scientists to capture ultra-fast quantum effects. In particular, it uses several different frequencies to investigate nonlinear responses. Here we use this technique and apply it on a system of 2 spin-1/2 particles having some magnetic moment, and investigate the behavior of the probability density for a certain spin-state as well as the spin e
Detta examensarbete syftar till att utvärdera om användningen av historisk testdata kan bidra till en förbättrad testprocess. I rapporten presenteras två JavaScript-algoritmer utvecklade av uppsatts- författarna, createTestRun och updateTestRun, som är specifikt utvecklade för att optimera urvalet av testfall och minimera redundans mellan testkörningar. Algoritmernas bygger på historisk data som hThis thesis presents an approach to utilize historical test execution data for improving the test process within a Quality Assurance (QA) department. The thesis research introduces two custom-built JavaScript algorithms, createTestRun and updateTestRun, designed to optimize the selection of test cases and effectively reduce redundancy in between test runs. The algorithms were developed by the thes
I takt med att hållbarhet blir viktigare söker många företag inom jordbrukssektorn lösningar för att fasa ut fossila drivmedel. Utmaningen blir ännu mer komplex när ersättningen ska vara kompatibel med en existerande fordonsflotta, utan investering i nya fordon. Denna studie jämförde fyra kommersiellt tillgängliga och förnybara drivmedel med referensbränslet diesel. De undersökta drivmedlen är HVAs sustainability becomes more important in today's society, many companies in the agricultural sector are looking for new alternatives to fossil fuels. The challenge becomes even more complex when the replacement must be compatible with an existing vehicle fleet, without requiring new investments in vehicles. This report compares four commercially available and renewable fuels, using convent
This thesis investigates cost inefficiencies within the inbound logistics operations of Roam Electric, a Nairobi-based electric vehicle manufacturer. As Kenya’s electric vehicle market expands, managing logistics costs becomes increasingly critical for local firms navigating infrastructural, regulatory and operational challenges. This research adopts a holistic single-case study approach and devel
This thesis investigates the sustainability of Sweden’s reformed pension system, first introduced in 1998. The new reform addressed long-term demographic challenges, particularly population ageing. By linking pension benefits, the new system has systematically shifted financial responsibility from the state to the individual. The study assesses whether the motivation behind the reform has taken
The increase in contact resistance within battery systems remains poorly understood, despite being one of the primary contributors to battery degradation. This project aims to investigate this phenomenon by modeling the electrical interface as a contact between a pin and a busbar. The main goal is to build a DOE and machine learning framework, using Bayesian optimization to efficiently explore the
Migraine is a highly debilitating neurological disorder that affects approximately 15% of the global population. It is most commonly associated with severe headaches that can leave sufferers bedridden, but its impact extends beyond the attacks themselves. The disease presents in various forms, ranging from sporadic attacks to regular ones following the female hormone cycle, and chronic migraine, w
This thesis examines the literary space of Macondo and its transformation due to external national influences in One Hundred Years of Solitude (1967) by Gabriel García Márquez. A case study is conducted of three key episodes in Macondo’s increasing contact with the state. The objective of the study is to analyze their respective spatial logics as a basis of the production and transformation of Mac
Detta arbete undersöker spridningen av Recolabs avloppssystem Tre rör ut som är en innovation som syftar till att separera och återvinna gråvatten, svartvatten och matavfall för ökad hållbarhet. Trots tekniska fördelar har systemet stött på hinder i bygg- och VA-sektorn, särskilt kring implementering och informationsspridning. Syftet har varit att identifiera faktorer som främjar eller försvårar s
Neural radiance fields enable photorealistic 3D scene representation but lack semantic understanding for object-level segmentation in complex indoor environments. This work addresses 3D object segmentation challenges in indoor scenes by integrating 3D Gaussian Splatting with 2D segmentation masks. I analyze existing segmentation methods across visual quality, accuracy, and efficiency dimensions, t
