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Erasmus+ is a European Union (EU) grant programme aimed at education, youth and sport. The programme funds projects for 5€ billion per year, impacting around 84 000 organisations. Erasmus+ is an example of how the EU implements sustainability policy through soft governance tools. Through an analysis of sustainability criteria in Erasmus+, this thesis explores how EU policy in grant programmes impa
This thesis is a qualitative case study of Venezuelan migrants living in Buenos Aires, Argentina. This study examines how migrants experience the four main barriers to socio economic integration – labour market exclusion, housing insecurity, institutional hurdles and everyday discrimination as well as the implications of these barriers. The theoretical framework of this thesis combines intersectio
This thesis investigates the weaponisation of healthcare in Ukraine during the ongoing conflict, analysing how deliberate attacks on medical infrastructure are not just violations of humanitarian law but systemic assaults on development, governance, and human security. Framed through a three-stage model: Disruption, Destabilisation, and Reconstruction, the study draws on Amartya Sen’s Development
Till följd av en allt strängare lagstiftning kring marknadsföring av tobaksfria nikotinprodukter i Sverige har varumärket Loop utvecklat nya strategier för att synas i sociala medier utan att bryta mot rådande regler. Denna studie undersöker hur Loop iscensätter och kommunicerar sin varumärkesidentitet på Instagram genom strategisk kommunikation som undviker direkt produktreklam. Med utgångspunkt In response to increasingly strict regulations surrounding the marketing of tobacco-free nicotine products in Sweden, nicotine pouch brand Loop has adopted new strategies to maintain brand visibility and consumer engagement on social media. This study examines how Loop constructs and communicates its brand identity on Instagram in a legally restricted environment, using strategic communication tha
As demand for nicotine pouches continues to grow globally, especially in the form of tobacco-free snus, efficient and scalable packaging solutions have become essential for producers. This report presents the design, development, and testing of a fully automated end-of-line packaging station using a collaborative robot (cobot), specifically the UR10e. The project was carried out in collaboration w
This study examines whether machine learning (ML) models can forecast daily Bitcoin price directions and generate statistically significant alpha in trading strategies. Employing a dual-model approach, we utilize a Random Forest (RF) classifier, leveraging its non-linear strengths and a LASSO-penalized logistic regression as a linear benchmark. Both models are trained on a comprehensive dataset o
This thesis examines the conditions under which the triangular simplification mechanism under Article 141 of the VAT Directive may apply to quadrangular chain transactions involving four taxable persons established or identified for VAT purposes across multiple Member States. The triangular simplification mechanism relieves the intermediary operator in a three-party chain transaction from register
This study aims to investigate how social media trends affect international trade through a study on the relationship between the global matcha tea trend and Japanese green tea exports. The study is performed in two steps, due to limitations in social media data access. Firstly, a time-series regression is used to analyse the relationship between global TikTok views and Google search intensity for
Atrial fibrillation (AF) is the most common heart rhythm abnormality and is a leading cause of heart failure and stroke. This large-scale meta-analysis of genome-wide association studies increased the power to detect single-nucleotide variant associations and found more than 350 AF-associated genetic loci. We identified candidate genes related to muscle contractility, cardiac muscle development an
Atrial fibrillation (AF) is a prevalent and morbid abnormality of the heart rhythm with a strong genetic component. Here, we meta-analyzed genome and exome sequencing data from 36 studies that included 52,416 AF cases and 277,762 controls. In burden tests of rare coding variation, we identified novel associations between AF and the genes MYBPC3, LMNA, PKP2, FAM189A2 and KDM5B. We further identifie
Neural simulation-based inference (NSBI) is a powerful class of machine-learning-based methods for statistical inference that naturally handles high-dimensional parameter estimation without the need to bin data into low-dimensional summary histograms. Such methods are promising for a range of measurements, including at the Large Hadron Collider, where no single observable may be optimal to scan ov
A set of measurements for the production of a W-boson in association with high-transverse-momentum jets is presented using 140 fb-1 of proton–proton collision data at a centre-of-mass energy of s=13 TeV collected by the ATLAS detector at the LHC. The measurements are performed in final states in which the W-boson decays into an electron or muon plus a neutrino and is produced in association with j
