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Varje år dör nästan 10 miljoner människor i cancer, många av dem hade kunnat räddas genom tidigare diagnostisering. Capillon Analytics är ett företag som startade som ett forskningsprojekt vid Lunds universitet. De utvecklar en metod för att identifiera tidiga tecken på cancer genom håranalysering och siktar mot klinisk validering 2026. I samarbete med dem var målet med detta examensarbete att stöEvery year, around 10 million people die from cancer, many of whom could have been saved through earlier detection. Capillon Analytics is a company that grew out of research at Lund University and is developing a method for identifying early signs of cancer using hair analysis and are aiming for clinical validation in 2026. In collaboration with them, the aim of this thesis was to support their wo

The study examines whether Nigerian communication practitioners engage with, adapt to, or diverge from dominant Western crisis communication assumptions when managing crises shaped by ethnic, political, and religious complexities. Using a phenomenological qualitative approach to explore their lived experiences, ten communication professionals from government, corporate, and consultancy sectors w

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 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

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

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

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

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

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

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

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

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

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

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

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 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

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

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

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