Publikationer från Uppsala Universitet
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Tron som botemedel? : En diskursanalys av synen på F.A Boltzius i Aftonbladet och Göteborgs Handels- och Sjöfarts-Tidning år 1885
No full textFredrik August Boltzius was a Swedish faith healing preacher during the second half of the 19th century. In this qualitative content analysis studie with comparative approaches, I will with the help of Norman Fairclough’s discourse analysis, analyse how the discourse about the Swedish faith healing preacher F.A. Boltzius looked like in newspaper articles from the Swedish newspapers Aftonbladet and Göteborgs Handels- och Sjöfarts-Tidning during the year 1885. The study suggests that the attention Boltzius received during the year 1885 was likely the result of several factors. He was active during a period of religious transformation, where the normative and established church were challenged by revivalist movements and religious liberalism. Boltzius came to embody a personal and revivalist form of faith, which provoked both interest and criticism. The media practices during the 19th century, such as republication of other newspaper articles contributed to a chain reaction of national attention. Two contemporary events, the trial against the newspaper Väktaren and Carl von Bergen’s lectures, also helped increase the attention Boltzius recieved. The results show that both newspapers generally portrayed Boltzius in a negative way. Often as an imposter with easily deceived followers. However, Göteborgs Handels- och Sjöfarts-Tidning occasionally offered a more nuanced portrayal and even called for open-mindedness, a statement not found in Aftonbladet.
Targeting of Epithelial Cell Adhesion Molecule-Expressing Malignant Tumors Using an Albumin-Binding Domain-Fused Designed Ankyrin Repeat Protein : Effect of the Molecular Architecture
No full textDesigned ankyrin repeat protein (DARPin) Ec1, a small scaffold protein (18 kDa), binds with high affinity the epithelial cell adhesion molecule (EpCAM) that is overexpressed in several carcinomas. To enhance the targeted delivery of cytotoxic drugs using Ec1, we investigated the potential of fusing Ec1 with an albumin-binding domain (ABD) to improve its circulation time and decrease renal uptake. Two fusion proteins were created, Ec1-ABD, with the ABD at the C-terminus, and ABD-Ec1, with the ABD at the N-terminus. Both variants were labeled with 111In. ABD-fused variants bound specifically to EpCAM-expressing cells with picomolar affinity. Adding human albumin reduced the affinity. This effect was more pronounced for Ec1-ABD; however, the affinity remained in the subnanomolar range. The position of the ABD did not influence the internalization rate of both variants by human cancer cells. In mouse models with human cancer xenografts, both variants demonstrated over 10-fold lower renal uptake compared to the Ec1. Tumor uptake of the ABD-fused variants was higher than the uptake of Ec1. ABD-Ec1 provided two-fold higher tumor uptake, indicating fusion with an ABD as a promising way to modulate the targeting properties of an Ec1-based construct. However, the effect of fusion depends on the order of the domains
Mixed fluid processes in Fe-Mn dendrite formation and associated carbon and nickel isotope fractionation
No full textDendritic iron- and/or manganese-rich microstructures, often referred to as "microstromatolites," are commonly observed in carbonate veins in the deep subsurface. However, the mechanisms responsible for their formation, particularly the role of microbial processes, remain incompletely understood. One hypothesis suggests that Feand Mn-enriched fluids, sourced from submarine hydrothermal vents and circulating through mafic or ultramafic rocks, lead to the precipitation of manganese dendrites within open fractures. Microbial activity has been proposed as a contributing factor, particularly due to its ability to catalyze Mn2+ oxidation to Mn4+ at rates significantly faster than abiotic processes under ambient conditions. Such microbial mediation often results in the formation of poorly crystalline Mn oxide phases, which are commonly associated with biologically mediated oxidation. These disordered Mn oxides, frequently observed in natural settings, suggest a microbial contribution to mineral precipitation, particularly in environments where redox gradients and fluid-rock interactions are prominent. Because manganese oxides are an important sink for Ni in marine systems, stable Ni isotope analyses may offer valuable insights into their formation. Biological activity in laboratory systems is known to fractionate Ni isotopes, producing negative δ60Ni values, while abiotic interactions with Mn oxides can result in a range of isotopic signatures. In this study, we show that manganese-rich dendrites likely formed through the interplay between organic matter, oxidizing fluids and viscous serpentine muds, resulting in the fractionation of both carbon and nickel isotopes. The moderately negative δ13C and δ60Ni values, together with the presence of organic matter, suggest a mixed formation pathway involving both abiotic mineral precipitation and biologically mediated processes. One plausible mechanism involves the nucleation of Mn oxides on nanoparticulate "seeds," which could include both abiotic particles, organic matter, microbial cells and their metabolic byproducts. Understanding the formation of Fe-Mn dendrites is key to interpreting the biogeochemical cycling of essential elements like iron, manganese, and nickel. Due to its redox flexibility, Mn forms highly reactive oxides that effectively scavenge trace metals such as Ni, Co, Fe, and Cu, facilitating their removal from seawater and incorporation into marine minerals. Our findings underscore the complexity of Fe-Mn oxide formation and point to the combined influence of abiotic fluid dynamics and microbial processes. This improves our ability to interpret geochemical signatures in both modern and ancient environments and enhances the utility of stable isotope systems in reconstructing past ocean conditions and elemental cycling
The employer’s right to termination of contract due to anticipateddelay in commercial services relating to work on property
No full textInternational Child Abductions and Domestically Abused Women : In the Lights of the 1980 Hague Convention and Brussels IIb Regulation
No full textPersonal Liability of Procedural Representatives, with Particular Regard to Litigation Costs
No full textUppsatsen behandlar frågan om under vilka omständigheter processuella företrädare kan åläggas personligt betalningsansvar för ett aktiebolags rättegångskostnader. Fokus ligger på två huvudsakliga rättsliga grunder dels ansvar enligt 25 kap. 18 § aktiebolagslagen vid kapitalbrist, och dels den rättspraxisbaserade modellen för ansvar vid illojal användning av bolagsformen, särskilt i ljuset av NJA 2014 s. 877 ("Processorfallet"). Uppsatsen analyserar hur dessa konstruktioner påverkar processuella företrädare och diskuterar rättssäkerhetsproblem, doktrinär kritik samt möjliga reformförslag. Analysen visar att nuvarande rättsläge präglas av osäkerhet, särskilt i fråga om externa företrädare som inte har formell beslutanderätt i bolaget. Den gällande ordningen riskerar att undergräva rättssäkerheten och skapa ett avskräckande ansvar för juridiska ombud, vilket kan påverka tillgången till rättslig prövning. Mot denna bakgrund föreslås att ansvarskretsen bör avgränsas utifrån faktisk kontroll och inflytande över bolagets agerande, vilket skulle minska risken för oskäligt ansvar samtidigt som det lämnar utrymme att ingripa vid verkligt missbruk. En reform i denna riktning bedöms vara både rättssäker och ändamålsenlig
Risk management in M&A-transactions : Strategies for identifying, anticipating and mitigating risks
No full textBetween space and bone : A metric examination of the relation between the bones and Västergarn
No full textThe thesis examines the degree of bone fragmentation metrically together with the material context in Västergarn, Gotland. The examined material comes from the excavations of shaft 67 and shaft 78. The squares examined were square 65 in shaft 67 and squares 3 and 8 in shaft 78. The squares were located south of house foundation 11 and northwest of house foundations 15. Each fragment was measured and weighed to examine the level of fragmentation. The fragmentation was then analyzed together with cultural taphonomic processes such as butcher marks to construct an understanding of where the bone fragments came from and what they can tell about the place where they were found. The material was however too small to reach a concrete conclusion, regarding the metric distribution and more research is needed. However, certain conclusions about the activity patterns in the area could be drawn from the limited material. The analysis revealed that the bone material consisted mainly of food and craft remains from the tannery activity that was located between house foundations 11 and 12. The position of the fragments may be due to either conscious deposition or unconscious movement to and from the activity area. Within the squares, bones from several different species were found, such as sheep/goat, cattle, pig, horse, cat, fish and several different types of bird
Insights into the surface of mesoporous nickel oxide and its interaction with oxygen and water
No full textThe surface chemistry of mesoporous nickel oxide (NiOx) plays a pivotal role in its functionality across various technological applications. Herein, we present a detailed study of NiOx surface states using multiple spectroscopic techniques, including ambient pressure X-ray photoelectron spectroscopy (XPS), ultraviolet-visible (UV-vis) spectroscopy, and Fourier-transform infrared (FTIR) spectroscopy, to observe the removal and reformation of surface species during gas dosing. Our findings reveal the presence of both surface oxygen- and hydroxide-species on the NiOx surface. Furthermore, the results suggest that NiOx surface states consist of approximately 50% hydroxides and the remainder comprising adsorbed oxygen species, likely predominantly diatomic oxygen ions (O2−), that are associated with higher valence Ni states (Ni3+). In situ experiments demonstrate that the formation and stability of hydroxides and diatomic oxygen ions depend on temperature and are significantly influenced by interactions with atmospheric oxygen and water. Our insights into the NiOx surface state composition and reactivity offer a nuanced understanding of its surface chemistry, with implications for enhancing its performance in catalysis, sensing, energy harvesting and energy storage devices where the surface states of nickel oxide are known to dictate electronic and chemical properties of the material
Transfer Learning for Predictive Maintenance in Workshop Environments : Vibration Based Analysis of Mechanical Systems
No full text Predictive maintenance is a powerful strategy for reducing downtime and improving reliability in workshop environments, particularly for rotating machinery such as bearings. This thesis investigates the use of deep learning models for vibration-based fault detection, focusing on the method of convolutional autoencoders and transfer learning to enable scalable and generalizable anomaly detection. The study proposes a transfer learning framework that reuses temporal representations learned from asource domainandfine-tunesonlythedecoderonasmallamountofhealthytarget domain data. The performance of this approach is benchmarked against models trained entirely within the source or target domains using two well-known bearing data sets from Center for Intelligent Maintenance Systems, and Case Western Reserve University. The models are evaluated based on reconstruction error, anomaly detection performance, convergence efficiency, and training time. The results show that the transfer learning model achieves comparable accuracy to the target domain trained model while converging faster and requiring fewer trainable parameters. An autoregressive based method is applied for anomaly detection in reconstruction loss sequences, further validating the robustness of the proposed approach. Overall, this work demonstrates that transfer learning enables rapid deployment of predictive maintenance models with minimal domain-specific retraining. The findings have practical implications for real world industrial systems, particularly in edge computing environments where computational resources are limited and fast adaptation is essential