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Adsorption during heat treatment related to the thermal unfolding/aggregation of β-lactoglobulins A and B

Adsorption onto chromium surfaces during heat treatment (65–68°C) of β-lactoglobulin A and B in phosphate buffer, pH 6.88, was investigated byin situellipsometry. Thermal unfolding andin situheat-induced aggregation under the same conditions were studied by differential scanning calorimetry and dynamic light scattering, respectively. A lag phase was observed for buildup of the thickness of the

EU Merger Control of below-threshold concentrations Post-Illumina – A legal study into the balance between the principle of subsidiarity, legal certainty and the need for effective control.

EU:s koncentrationsförordning syftar till att skydda konkurrensen på den inre marknaden från skada som orsakas av betydande strukturella förändringar, genom att säkerställa att företagsförvärv och fusioner leder till ökad tillväxt och en högre levnadsstandard inom EU. Denna uppsats undersöker det rättsliga ”vakuum” som uppstår utanför förordningens tillämpningsområde, samt hur den praktiska tillämThe EU Merger Regulation aims to protect the common market from lasting damage to competition caused by significant structural changes, by ensuring that mergers and acquisitions ultimately lead to improved growth and a higher standard of living within the EU. This thesis examines the regulatory gap outside the scope of the EU Merger Regulation, and how the practice of EU merger control has evolved

When is it Violent Enough? The Brazilian State's Logic on the Criminalization or Legitimization of Violence

This thesis explores the Brazilian State logic of criminalization or legitimization of violence through two important cases: the 1992 Carandiru massacre, in which 111 inmates were assassinated by the military police, and the 2013-2014 Black Bloc demonstrations in which 23 activists were criminalized. Aiming to challenge entrenched ideas about violence, the research investigates who benefits from t

Imaging and Clinical Prognostic Features in Lobar Versus Deep Intracerebral Hemorrhage in an Unselected Swedish Population

BackgroundHematoma location may influence hematoma volume and risk of expansion, the strongest prognostic predictors in patients with intracerebral hemorrhage (ICH). This study aims to determine differences in imaging and clinical factors affecting survival in patients with lobar vs. deep ICH.MethodPatients with spontaneous supratentorial ICH residing in Skåne county registered in the Swedish Stro

Tracing metastatic spread in pediatric solid tumors using copy number and targeted deep sequencing

The most common cause of death in pediatric cancer patients is a treatment-resistant tumor, compounded by metastatic spread, making surgery, radiation therapy, and chemotherapy unfeasible as curative treatment options. However, the mechanisms behind metastatic spread in pediatric tumors remain largely unexplored. We conducted whole-genome copy number profiling on 171 primary tumor and metastases s

Structural and Prognostic Clinical Insights in Cardiovascular Imaging

In Paper I, 4703 subjects from the Malmö Cost Cancer cohort, with a mean follow-up of 16.5 years, were evaluated for future risk of ischemic stroke in relation to levels of s-LOX1. An increased risk was found for higher level of sLOX-1 OR 1.75 (1.28-2.39), p<0.001, increasing in presence of carotid plaque OR 2.42 (1.71-3.44), p<0.001. Endothelial cells were exposed to oxLDL, resulting in release o

Thermal effects of laser illumination in GASMAS for lung monitoring - A clinical study on skin heating

Gas in Scattering Media Absorption Spectroscopy (GASMAS) is a near-infrared (IR) optical spectroscopy technique showing great potential in the continuous, non-invasive monitoring of the lungs. While the feasibility of GASMAS has been proven in neonatal lung studies, applying the technique to older children and adults is challenging. The increased tissue thickness strongly attenuates the signal, ne

Circularity in Practice : Closed loop recycling and circular public procurement

Our current patterns of resource use have serious impact on the environment and are affecting our chances to future welfare. In this context, circular economy practices emerge as essential. Circular economy focuses on maximizing resource efficiency through reuse, repair, recycling, and product longevity—ultimately minimizing waste and reducing reliance on virgin materials. My dissertation presents

Optimization of the method for analysing neonicotinoids and their metabolites in hoverflies using supercritical fluid extraction and liquid chromatography coupled to triple quadruple mass spectrometer

The extensive use of neonicotinoids has raised concerns about their impact on pollinators like hoverflies, which are vital for pollination and ecosystem health. This study develops and validates a green extraction method using Supercritical Fluid Extraction (SFE), coupled with HPLC (High Performance Liquid Chromatography) - MS/MS (Mass Spectrometry) for selective analysis. SFE was employed as a m

Applications of artificial intelligence in the dairy Industry : from farm to product development

The dairy industry faces increasing demand for enhanced productivity, sustainability, and innovation. Artificial Intelligence (AI) has emerged as a transformative tool capable of addressing these challenges by enabling data-driven decision-making across the dairy supply chain. AI integrates machine learning (ML), big data analytics (DA), and predictive algorithms (PA) to optimize processes, improv

Melanoma Proteomics Unveiled : Harmonizing Diverse Data Sets for Biomarker Discovery and Clinical Insights via MEL-PLOT

Using several melanoma proteomics data sets we created a single analysis platform that enables the discovery, knowledge build, and validation of diagnostic, predictive, and prognostic biomarkers at the protein level. Quantitative mass-spectrometry-based proteomic data was obtained from five independent cohorts, including 489 tissue samples from 394 patients with accompanying clinical metadata. We

Adopting net-zero supply chains : integrated model of TOE and TAM in emerging economy context

Industries across the globe are making arduous efforts to mitigate emissions and use greener ways of transporting goods and delivering services. The supply chain includes all the activities which involve producing, transporting, and distributing goods and services, contributing to a major portion of worldwide emissions. Road transport contributes majorly to emissions; therefore, focusing on net-ze

Overcoming barriers to fuel cell electric vehicles adoption : greener environmental governance in the Indian subcontinent

Fuel cell electric vehicles (FCEVs) are gaining global attention as a sustainable transportation solution, yet their adoption in emerging South Asian economies remains limited. This study addresses the research gap by identifying and prioritizing barriers to FCEV adoption in India, Pakistan, and Bangladesh, regions underrepresented in existing literature. A hybrid methodology integrating Explorato

Experimental noise and light pollution alter prey detection in a nocturnal bird of prey

Urban expansion has led to ever increasing noise and light pollution, which impairs the audio-visual perception of wild animals and drives changes in key activities and behaviours. Nocturnal predators may be especially affected in detecting prey, with potentially dramatic consequences for their fitness. However, the combined effects of noise and light pollution on predator performance are still mo

Multiscale Quantification of Hemispheric Asymmetry in Cortical Maps Using Geometric Eigenmodes

Hemispheric asymmetry is a universal property of brain organization with wide implications into brain function and structure, and diseases. This study presents a laterality index for characterizing hemispheric asymmetries that underlie cortical maps using geometric eigenmodes derived from human cortical surfaces. We develop a generalized design to quantify asymmetries across various cortical spati