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Under sen Trias inträffade flera globala miljöförändrigar, inclusive klimatinstabilitet, och den mest markanta var det biotiska utdöendet vid Norian-Rhaetian-gränsen (NRB). Stora karbonatplattformar etablerades längs tethyshavet och exporterade periodvis karbonat-sediment till det angränsade havsbottnet, särskilt på bathyalt djup. Petrografisk analys av elva prover från sex density flow-avlagringaDuring the late Triassic period several global environmental changes took place, including climate instability, and the most distinctive one was the biotic extinction at the Norian – Rhaetian boundary (NRB). Large carbonate platforms were established along the Tethys ocean and periodically exported carbonate sediments to the adjacent ocean floor, and especially at the bathyal depth. Petrographic

Pollenanalys är en viktig del av rekonstruktion av forna landskap, men det krävs mycket manuellt arbete och expertis för att vara träffäkert. På senare tid har maskininlärning utvecklats och kan vara appliceras brett inom forskning. Syftet med denna studie är därför att utveckla metoden av Olsson et.al på fossila pollen att även kunna alalysera fossila pollen (Olsson et.al. 2021, Methods in EcologPollen analysis is an important part of paleo landscape reconstruction, but it requires a lot of manual work, and the work needs to be precise. In recent years machine learning has developed into a useful tool within image analysis. Therefore, this study aims to develop a method of counting fossil pollen based on the method by Olsson et.al. developed for fresh pollen (Olsson et.al. 2021, Methods i

Localized brown discoloration occurs in some Tetra Recart®-packed retorted meat products after extended storage, affecting perceived visual quality. This thesis investigates the possible mechanisms of this phenomenon and presents a systematic evaluation method for future similar cases. The study analyzes 59 images of discolored cases from two datasets: an archival dataset (n = 47, storage duration

The purpose of this project is to study the enhancement of diffusion bonding by mainly analyzing the effects of dislocations on atomic migration at the interface in 316L. Therefore, the relationship between dislocation densities and bonding quality was investigated. It was observed that dislocations successfully enhanced bonding quality by reducing porosity, decreasing average pore size, and incr

The legislative landscape of packaging regulation has been experiencing exponential growth, with the introduction of new EPR policies and stricter sustainability requirements. This thesis aims to assess differences in EPR implementation across multiple countries, highlighting its contributions to the European EPR landscape and exploring the management process of EPR compliance within a global food

Background: Supply Chain Planning (SCP) is a business process that aligns supply and demand across procurement, production, distribution, and sales to improve customer service levels and reduce costs, while including multiple planning horizons (strategic, tactical, operational). Integrated Business Planning (IBP) serves as a framework that connects these horizons. By progressing through IBP maturi

This thesis investigates how discrete-event simulation (DES) can serve as decision support for evaluating the performance of an Automated Storage and Retrieval System (AS/RS) within the inbound material flow at Company X. The AS/RS, referred to as the Highbay, has been identified as the primary bottleneck of the inbound material flow at the factory. Its performance is therefore a major concern, pa

This Master’s Thesis explored how traditional computer vision methods and deep learning methods could be used to estimate hardwood and softwood fibre distributions in paperboard. 11 mixtures ranging from 100% hardwood to 100% softwood with 10% increments were analysed. The study compared the usefulness of tomograms and radiographs for the given task. It was found that traditional methods did not

This thesis investigates simulating X-ray computed tomography with two primary objectives: developing a virtual representation of an X-ray computed tomography scanner and generating labelled synthetic training data for deep learning-based fibre segmentation. A simulation pipeline to generate X-ray projections based on the Beer-Lambert law was developed using the open-source framework gVirtualXray.

Sammanfattning I takt med att arbetsprocesser i allt högre grad organiseras genom automatiserade system förändras villkoren för hur nyanställda får tillgång till och utvecklar förståelse för arbete. Checklistor, kunskapsplattformar och systemförmedlade arbetsflöden kan göra arbetet tillgängligt som avgränsade moment, men innebär inte nödvändigtvis att arbetets praktiska sammanhang och situationsb

This thesis was conducted in collaboration with IKEA Components AB and aims to assess the potential of X-ray computed microtomography (μCT) and four-dimensional (4D) μCT for use in product development. The thesis examines the interaction between particleboard and thermoplastic expander dowels during pull-out testing. An experimental methodology was developed combining mechanical pull-out testing

This thesis explores how men’s irregular migration from the coastal community of Munnakkara in Negombo, Sri Lanka, to Europe reshapes the everyday lives of families left behind. The study is situated within the social and economic context of post-2022 Sri Lanka. It focuses on household insecurities among families where men initially migrated legally to Eastern European countries but later moved th

Asbestos and polychlorinated biphenyls (PCB) are hazardous substances that pose a risk to human health and the environment, and they are banned in Sweden. There is a large amount of older buildings that contain these substances and this causes a need for risk management. The responsibility for inventory and remediation lies on the property owner. Riskcommunication is an essential tool for encourag

Neural network approaches have been demonstrated to work quite well to solve partial differential equations in practice. In this context approaches like physics-informed neural networks and the Deep Ritz method have become popular. In this paper, we propose a similar approach to solve an infinite-dimensional total variation minimization problem using neural networks. We illustrate that the resulti

The decline in areal BMD (aBMD) in men may start as early as age 19, but it is debated whether proximal femoral strength follows the same pattern. We measured FN aBMD in a cross-sectional cohort of 1101 men aged 18-28 yr with two-dimensional DXA. Body height, weight, jump height, grip strength, and maximum knee extension torque muscle strength were measured with standard tests, after which BMI was

We present a simple and scalable implementation of next-generation reservoir computing (NGRC) for modeling dynamical systems from time-series data. The method uses a pseudorandom nonlinear projection of time-delay embedded inputs, allowing the feature-space dimension to be chosen independently of the observation size and offering a flexible alternative to polynomial-based NGRC projections. We demo

A classical and central problem in the theory of water waves is to classify parameter regimes for which non-trivial solitary waves exist. In the two-dimensional, irrotational, pure gravity case, the Froude number Fr (a non-dimensional wave speed) plays the central role. So far, the best analytical result Fr < √2 was obtained by Starr (1947 J. Mar. Res., vol. 6, pp. 175–193), while the numerical ev

Germany remains the only large country in the world without a general speed limit on highways. One of the main arguments for this policy is that lower speeds represent a travel time cost that is not outweighed by benefits, such as a reduction in greenhouse gas emissions. As transport decision making in the European Union is based on cost-benefit analysis (CBA), this paper compares the value of tra