Sökresultat

Motor sequence learning research has been primarily concerned with simple frequentist patterns, thereby neglecting the motor system's ability to handle uncertainty and non-deterministic environments. In this study, we combine methods from motor neuroscience and neurolinguistics to study how probabilistic systems are acquired during motor learning. Two groups of young adults practiced a probabilist

In the effort to obtain a precise measurement of leptonic CP-violation with the ESSνSB experiment, accurate and fast reconstruction of detector events plays a pivotal role. In this work, we examine the possibility of replacing the currently proposed likelihood-based reconstruction method with an approach based on Graph Neural Networks (GNNs). As the likelihood-based reconstruction method is reason

Neutrino oscillations constitute an excellent tool to probe physics beyond the Standard Model. In this paper, we investigate the potential of the ESSnuSB experiment to constrain the effects of flavour-dependent long-range forces (LRFs) in neutrino oscillations, which may arise due to the extension of the Standard Model gauge group by introducing new U(1) symmetries. Focusing on three specific U(1)

As a contribution to the Symposium on Protest and Legal Mobilization, this blog post examines the multifaceted ways in which the Yazidi diaspora in Sweden has pursued justice in the aftermath of the 2014 genocide. It highlights how prosecutions under universal jurisdiction, while symbolically significant, often remain distant from victim-survivors’ lived experiences, and how rituals, commemoration

Cell type deconvolution - the computational estimation of cellular composition in bulk tissue samples - is a valuable tool in cancer research for understanding immune infiltration and tissue heterogeneity. Most deconvolution algorithms infer the composition of cell types in bulk samples by modeling the observed expression data as a linear combination of reference expression profiles from each cell

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: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

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

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

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

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

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

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

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

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