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Do songbirds incorporate photoperiod in their migratory programme during migration? - A comparison between a long distance migrant and a short-to-medium distance migrant

Avian migration is based on a genetically inherited, endogenous programme which encodes the spatio-temporal information necessary for naive individuals to perform their first migration. The mechanism responsible for the temporal aspect of migration includes both endogenous clocks and responses to external cues to generate timing programmes. Of all the external cues involved, photoperiod has the g

Public procurement and corruption - To what extent can procurement law mitigate corruption risks in the EU internal market

Public procurement accounts for a substantial portion of public spending within the European Union (EU), yet it remains highly vulnerable to corruption. This thesis investigates to how EU procurement law—particularly Directive 2014/24/EU—can mitigate corruption risks in the internal market. It examines the legal mechanisms embedded in the Directive, such as mandatory exclusion, procedural transpar

Predicting Antibody Developability: Machine Learning Meets Therapeutic Antibodies

Antibody developability refers to an antibody’s suitability for clinical use, including properties such as solubility, stability, and aggregation. These traits are traditionally assessed through experimental screening, which is time-consuming and resource heavy. Machine learning offers a promising alternative for early prediction of developability, though many existing models are still in early st

Single-Neutron Photo-Nuclear Events for LDMX HCal Calibration

The upcoming Light Dark Matter eXperiment (LDMX) aims to push new frontiers in the search for the nature of dark matter. Its electromagnetic calorimeter (ECal) can be calibrated directly from the electron beam in the experiment, however the hadronic calorimeter (HCal) will be installed behind and to the sides of the ECal. Thus, it cannot be calibrated directly and has to be done so through other m

Intervention Effectiveness with Shame Among LGBTQ+ Individuals: A Systematic Review and Meta-Analysis

Shame represents a serious concern among LGBTQ+ individuals, which is often related to minority stressors such as traumatic experiences, peer and family rejection, and societal or religious stigma. This experience of shame is often associated with negative mental health outcomes such as depression and anxiety. This systematic review and metaanalysis evaluated the effectiveness of psychological int

Hejdå Normal!: Plurisexuella kvinnors upplevelser av minoritetsglädje

Denna studie undersökte plurisexuella kvinnors positiva upplevelser av sexuell minoritetstillhörighet. Mot bakgrund av den begränsade mängden forskning på ämnet gjordes en explorativ kvalitativ studie utifrån en fenomenologisk epistemologi. Datan genererades genom semistrukturerade intervjuer som analyserades med reflexiv tematisk analys. Dataanalysen genererade två huvudteman varav det första, EnThis study explored plurisexual women's positive experiences of sexual minority belonging. Given the limited amount of research on the topic, an exploratory qualitative study was conducted using a phenomenological epistemology. The data was generated through semi-structured interviews that were analysed using reflexive thematic analysis. The data analysis generated two main themes, the first o

The Economic Cost of Political Retaliation: China's Informal Sanctions on Norwegian Salmon Exports

This thesis investigates the economic consequences of informal sanctions imposed by China on Norwegian salmon exports following the 2010 Nobel Peace Prize awarded to Chinese dissident Liu Xiaobo. Although no formal trade restrictions were announced, Norwegian salmon, a main export item, faced opaque import barriers that significantly disrupted trade flows. Using disaggregated product-level export

Förtroende för det automatiserade : En kvalitativ studie kring AI-implementering och tillit inom försäkringsbranschen

Denna kandidatuppsats undersöker hur försäkringsbolag arbetar med att skapa tillit till AI-system i skadehandläggningsprocesser. Med utgångspunkt i tidigare forskning om tillit till AI – särskilt begreppen teknisk kvalitet, integritet och mänskliga egenskaper – analyseras tekniska och organisatoriska strategier genom en kvalitativ intervjustudie. Analysen bygger på en systematisk jämförelse mellan

Explicit dynamic analysis of Drive Over Curb load case

Denna populärvetenskapliga artikel undersöker om en dynamisk explicit FE-analys av en helbilsmodell kan användas för att simulera lastfallet "Drive Over Curb". Syftet var att ta reda på om en sådan helbilsmodell kan ge mer realistiska resultat än simuleringar på komponentnivå. Genom att jämföra simuleringsdata med fysiska testresultat visade det sig att metoden stämmer väl överens med veThis thesis work has been conducted in collaboration with Volvo Cars Corporation. The aim of this study was to explore the potential of using an explicit dynamic finite element (FE) simulation to predict forces and accelerations in the suspension during a “Drive over Curb” load case. This was conducted using the explicit FE solver LS-DYNA. To validate the FE model, simulation results were compared

Complexity and Choice under Risk

We investigate the role of complexity in choice under risk through an online experiment in which complexity is manipulated by the use of tokens and tokens-to-dollar conversion rates. This novel experimental design allows us to represent the same dollar amount with different numbers of tokens and thus create choice options that are identical in terms of value but different in terms of complexity. W

”Jag får uppfattningen att ingen egentligen vet hur man skriver en journal korrekt” - Hälso- och sjukvårdskuratorns syn på journalföring

This study aims to explore how medical social workers in pediatric healthcare and youth clinics reason about documentation practices in their daily work. The focus is on the challenges they encounter related to language, ethics, legal regulations, and interactions with other professional groups. Using a qualitative approach, the study is based on focus group interviews and analyzed through the len

Uncovering the Binding Partners of PARP15: From Biophysical Characterization to Proteomic Discovery

Introduction: Discovering and characterizing protein interaction partners can provide valuable insights into key functions. It can also enable the structure determination of small and flexible proteins by providing rigidity through the formation of protein complexes. Background: To date, there are no protein structures of full-length PARP15 in the protein data bank (PDB). Utilizing binding partn

Aligning Inventory With Strategic Priorities Across Factory Boundaries - More Than Moving Plates

Title: Aligning Inventory with Strategic Priorities Across Factory Boundaries – More than moving plates Authors: Lisa Johansson and Johanna Weber Supervisors: Jan Olhager, Professor at Engineering Logistics, Faculty of Engineering(LTH) at Lund University Alexandra Kristensson, Head of S&OP, GPHE at Alfa Laval AB Examiner: Louise Bildsten, Senior Lecturer at Engineering Logistics, Faculty of

Agri-PV approved? Overcoming challenges in the Agri-PV approval process in Bavaria, Germany

Agri-PV is a promising socio-technical innovation increasingly being deployed in Bavaria and Germany. However, institutional challenges in the approval process hinder process standardization and effective deployment. Using a qualitative research design and the three-pillar framework of institutions, this study investigates the approval process of Agri-PV in Bavaria. 17 semi-structured interviews w

Competition Law Framework through European Commission’s Block Exemption Regulations with focus on Motor Vehicles Sector Aftermarket & reliance on Non-Personal Data

The aftermarket, with its spare parts and services, is a strong business driver compared to products from OEMs in the primary market. The MV sector, with features like autonomous driving, advanced mobility, etc., relies on data driven ecosystems apart from the conventional spare parts business. Such a market involves independent repairers, spare parts manufacturers, wholesalers, retailers, end use

Can machine learning be used to accurately forecast intraday index returns using candlestick data?

This thesis wants to investigate whether machine learning, trained on candlestick data, can be used to forecast intraday returns. Previous research has primarily focused on returns with longer horizons and is therefore leaving a research gap on shorter horizons. This thesis will use a combination of Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) as the deep learning model to

Investigating Automation of One-Loop Matching of Effective Field Theories for Beyond the Standard Model Research

De senaste århundraden har vår förståelse för världen runt omkring oss förbättrats avsevärt. Grundpelaren i att bedriva det vetenskapliga arbete som har lett fram till detta är att kunna utföra olika experiment vars resultat kan falsifiera olika teorier om de inte stämmer överens med observationerna. Allt eftersom de experimentella delarna av fysiken har fått möjligheten att göra noggrannare och nAfter the Higgs boson’s discovery precision searches for Beyond the Standard Model physics has become a new frontier in fundamental physics research. In extensions to the Standard Model, large combinatorics arising due to the many possibly involved particles in Feynman diagrams stands in the way of performing precision calculations of what such extensions predict. This work investigates the feasib

Shards of Identity: Rhenish pottery and cultural expression in the Viking Age emporia of Hedeby and Kaupang

This paper examines the role of imported Rhenish pottery in the expression of cultural identity by Frisian merchants in Viking Age emporia. From the beginning of the Viking Age, a new maritime trade network developed in the North Sea and Baltic region that would eventually connect vast areas of Europe through long-distance trade. Along these routes new trade settlements would appear, the emporia.

Out of sight, out of mind? Income inequality proximity and happiness in urban Mexico

Income inequality is typically assumed to be a societal problem. Yet, empirical evidence remains inconclusive on whether inequality reduces individuals’ well-being or not. This study uses data on national-, state-, and city-level inequality measures in Mexico to observe how these relate to changes in self-reported well-being across 12 years. The analysis reveals that the relationship between happi