This thesis investigates the potential of manufacturing load-bearing free-form timber using a six-axis industrial robot. Free-form timber curvature in this context refers to timber planes that can rotate freely along x, y, and z axes, resulting in non-planar curvature forms. The motivation behind this thesis is to explore how renewable materials can be integrated with robotic fabrication to produc

Delivery of antigenic peptides to antigen presenting cells (APCs) such as dendritic cells (DCs) using monoclonal antibodies (mAbs) is an attractive approach to evoke antigen-specific T cell activation and improve drug efficacy. Peptide linkage to mAbs has previously been achieved through genetic fusion, chemical conjugation, nano-engineered platforms and high affinity peptides. In this study, we h

As modern vehicles become increasingly connected and software-dependent, the automotive industry requires cybersecurity training that is both effective and aligned with evolving and emerging roles. This study explores factors that influence employees’ perceptions of the rele-vance of role-based cybersecurity training within this context. While role-based training (RBT) is designed to align content

I Tvååker, Halland drivs ett projekt som heter Naturplats Tvååkers Mosse. I denna naturplats ska ett antal informationsskyltar sättas upp för att informera besökare om landskapets utveckling sedan den senaste istiden. Detta arbete utgör grunden för den information som berör bildningen av ett antal ryggformer: en serie ändmoräner och en strandvall belägna kring projektplatsen. Frågorna på när och hIn Tvååker, Halland a project by the name of Naturplats Tvååkers Mosse is under development. The project is a nature area to be opened to the public, and is aimed to inform visitors of how the landscape has developed since the latest ice age. To do this, a number of signs are to be put up, including information for which this report serves as a basis. The report focuses on a number of landforms in

Denna studie undersökte effektiviteten och användarupplevelsen av AI-chatboten Alba som ett diagnostiskt verktyg för mental hälsa, med fokus på ADHD/ADD. Forskningen syftade till att utvärdera Albas förmåga att samla relevant information, engagera användare och ge korrekta diagnoser. En mixed-methods 2x2 faktoriell design med 160 deltagare rekryterades via Prolific, indelade i experimentgrupp (ADHThis study explored the effectiveness and user experience of the AI chatbot Alba as a diagnostic tool for mental health, focusing on ADHD/ADD. The research aimed to assess Alba’s ability to gather relevant information, engage users, and provide accurate diagnoses. A mixed-methods 2x2 factorial design involved 160 participants recruited via Prolific, divided into experimental (ADHD/ADD and mental h

Given the existential risk climate change poses to the natural and human world, transnational policies seeking to reduce anthropogenic emissions are beginning to gain prominence, including, notably, the EU’s Carbon Border Adjustment Mechanism (CBAM). This thesis quantitatively investigates whether the distribution of CBAM risk across countries aligns with the principle of Common But Differentiated

This thesis investigates the impact of the OECD’s Base Erosion and Profit Shifting (BEPS) Action Plan on corporate tax revenue in Latin America. To evaluate the policy implementation, we construct the Tax Avoidance Policy Score (TAPS), a composite index measuring anti-avoidance efforts aligned with BEPS minimum standards from 2000 to 2021. Using a staggered difference-in-differences approach and m

Rwanda has undergone a remarkable improvement in logistics performance, defined as the cost, time, and complexity involved in trade facilitation. Specifically, the landlocked country has surged in the Logistics Performance Index (LPI) by the World Bank from one of the globally worst-performing countries in 2007 to outperforming average low-income and Sub-Saharan African countries since 2016. Groun

In Latin America, gender-based violence and barriers to reproductive autonomy remain widespread. This paper investigates the association between women’s experience of intimate partner violence (IPV) and contraceptive behavior, focusing on three dimensions: use, choice of method effectiveness, and discontinuation. I perform a cross-sectional analysis with binary and multinomial logistic regressions

The EU’s Carbon Border Adjustment Mechanism has received growing scholarly attention. However, it’s impact on firm strategic behavior remains understudied. This thesis presents a qualitative interview-based research framework to capture private sector behavior. The study utilizes eight expert interviews conducted with firm employees and stakeholders and interprets these results through an inducti

This thesis investigates the relationship between Protestant and Catholic religious affiliation and union outcomes, as well as religiosity and union outcomes in Northern Ireland. I conduct a multinomial logistic regression analysis using pooled cross-sectional data from the Northern Ireland Life and Times survey from 1998–2023. I find that cohabitation has increased in the 21st century, and that r

This thesis presents a quantitative analysis of the extent to which changes in regional rental housing costs influence internal net migration among young adults aged 20 to 29 across Sweden’s 21 counties between 2016 and 2024. Using a balanced panel dataset and a two-way fixed effects regression model, the study investigates whether rising rental prices constrain mobility into opportunity-rich but

The increasing use of cross-laminated timber (CLT) in construction has encouraged research on moisture, fire, acoustics, and energy performance. These areas are crucial for CLT buildings’ functionality and durability and are typically addressed together during design. This study reviewed current knowledge, identifies gaps and explores synergies and conflicts among these areas, while briefly addres

Image classification systems have been widely applied in smartphones, industrial inspection, and automated devices. However, in real-world scenarios, existing classifiers often produce inconsistent or incorrect predictions due to factors such as image degradation, inter-class similarity, and model instability, thereby reducing the overall performance of the system. To address these issues and enha

Detta examensarbete syftar till att utvärdera om användningen av historisk testdata kan bidra till en förbättrad testprocess. I rapporten presenteras två JavaScript-algoritmer utvecklade av uppsatts- författarna, createTestRun och updateTestRun, som är specifikt utvecklade för att optimera urvalet av testfall och minimera redundans mellan testkörningar. Algoritmernas bygger på historisk data som hThis thesis presents an approach to utilize historical test execution data for improving the test process within a Quality Assurance (QA) department. The thesis research introduces two custom-built JavaScript algorithms, createTestRun and updateTestRun, designed to optimize the selection of test cases and effectively reduce redundancy in between test runs. The algorithms were developed by the thes

Denna kandidatuppsats undersöker hur användare uppfattar så kallade ”deceptive patterns” - vilseledande designmönster - i digitala användargränssnitt, samt var gränsen går mellan påverkan och manipulation. Studien kombinerar en kvantitativ enkätundersökning med en kvalitativ intervjustudie för att fånga både bredd och djup i ämnet. Enkäten, som riktades till svenska internetanvändare, inkluderade

Syftet med denna studie är att skapa en djupare förståelse och klargöra hur generativ AI kan appliceras som ett hjälpmedel för entreprenörer i anbudsprocessen. Offentliga upphandlingar präglas ofta av omfattande informationsmängder, komplexa formella krav och strikta tidsramar. När förfrågningsunderlagen dessutom är bristfälliga eller otydliga blir varje anbud en resurskrävande investering som måsThe purpose of this study is to develop a deeper understanding and clarify how generative AI can be applied as a support tool for contractors in the bidding process. Public procurements are often characterized by extensive amounts of information, complex formal requirements, and strict timeframes. When the tender documents are additionally incomplete or unclear, each bid becomes a resource-intensi

The Integration of Machine Learning in OFDM Receivers The integration of Machine Learning (ML) into various fields has prompted exploration into the effectiveness of advanced ML architectures within Orthogonal Frequency Division Multiplexing (OFDM) receivers. Prior work by Nvidia demonstrated the promise of Graph Neural Networks (GNNs) in replacing key components of a traditional receiver, surpas

Accurate modeling of wireless channels in urban environments is crucial for the design and evaluation of communication systems. Geometry-Based Stochastic Channel Models (GSCMs) provide a balance between physical retings—an oversimplification that can reduce model fidelity.alism and computational efficiency by simulating Multi-Path Components (MPCs) through simplified ray tracing and stochastic sca