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Forensic pathology is a branch of medicine that aims to determine the manner and cause of unnatural, suspicious or unexpected deaths that require a legal investigation. An important part of determining the cause of death is the examination of the body through an autopsy. The purpose of this project is to evaluate whether machine learning algorithms can predict cause of death based on autopsy data.
Accurate estimations of regional CO2 fluxes are essential for understanding the global carbon cycle and further mitigating climate change. Satellite-based retrievals of column-averaged carbon dioxide (CO2) from the Orbiting Carbon Observatory 2 (OCO-2) offer a promising avenue for estimating carbon fluxes with atmospheric inversion systems, as they provide higher spatial resolution and observation
Toxic workplaces have received increased attention in line with an increased focus on employee well-being and the psychosocial work environment. The complexity of the phenomenon, in combination with its negative impact on both individuals and organizations, makes it an important subject to investigate. Recent research shows that a toxic work environment is the strongest predictor of employee turno
Since the digital art commission market is a new business model in the art industry, the discovery of potential mechanisms for setting digital art commission prices is considered limited. This research explores the mechanism between an artist’s reputation level by the number of followers and artwork prices in the online digital art commission market for an exploratory study of developing the prici
Drawing on Upper Echelons Theory and Institutional Theory, this study explores the relationship between CEO narcissism, expressed through public facing digital communications, and firm- level Environmental, Social and Governance (ESG) performance across distinct institutional contexts. While emerging literature connects executive use of social media to Corporate Social Responsibility, it remains u
The global fashion industry generates approximately 2.1 billion tonnes of greenhouse gas emissions annually, yet the circular business models and sustainability initiatives promoted as its primary environmental remedy have not translated into reductions in absolute production volumes or total consumption. This study investigates why through the lens of what we term the Circular Growth Paradox: the
This study explores how organizational culture, organizational learning, and leadership enable neuroinclusive practices in large Swedish high-technical multinational organizations. Despite growing interest in neurodiversity in recent years, limited research has examined how neuroinclusive practices develop and become integrated within organizations. The study draws on theories of organizational cu
The loss of regulatory control over radioactive material and sources poses great risks to public safety. Such a situation necessitates the development of protocols and methods for effective and accurate localisation, characterisation and securement of the materials. Mobile gamma spectrometry, particularly using vehicle-borne detectors, has emerged as a viable method for in-situ characterisation of
Skin cancer is one of the most common forms of cancer worldwide and its prevalence is increasing. Current assessment of tumor extent relies mainly on histopathology after excision, and repeated surgeries are often required to achieve complete tumor removal. This leads to high medical costs and unnecessary patient discomfort. To reduce the pressure on the healthcare system, there is a strong need f
Recent work by Ghose and Pinotsis (2025) reformulated the classical FitzHugh–Nagumo neuronal model as a Schrödinger-like equation. The aim of this thesis is to investigate whether the proposed equation is able to reproduce the dynamics of the original model. Results presented here show that the reformulation is capable of capturing the conservative component of the neuronal model, but not its full
Parvalbumin (PV) interneurons are specialised inhibitory neurons that help regulate the timing and balance of neural circuits. Generating PV-like interneurons through direct glia-to-neuron reprogramming is therefore relevant for disease modelling and future regenerative strategies, but efficient acquisition of a specific PV-associated fate remains challenging. This thesis builds on a human glia-to
Numerical Weather Prediction (NWP) relies on the accurate and efficient numerical solution of nonlinear conservation laws governing atmospheric flows. However, high order DG methods are known to exhibit instabilities when applied to nonlinear conservation laws. Entropy stable methods improve the robustness of these schemes by imposing an entropy inequality on the solution and ensuring that the res
In this thesis, we study groups of superpolynomial growth, with a particular focus on the first Grigorchuk group. Introduced by Rostislav Grigorchuk in 1980, this group serves as a fundamental example of a finitely generated group of intermediate growth. The main result concerns the superpolynomial growth of the first Grigorchuk group, illustrating its relevance for the conjugacy search problem a
We first motivate fusion systems and provide basic definitions. Then we discuss saturated fusion systems and the equivalence of various definitions found in the literature. We then give the definitions of group (co)homology and introduce (co)induced modules, restriction, conjugation and transfer homomorphisms, Shapiro’s lemma, and prove the Cartan-Eilenberg stable elements theorem. Thereafter, we
The extent of data usage today makes the problem of its smoothing and filtering more relevant than ever. In this thesis, we explore one of the possible approaches to this problem: smoothing splines. When trying to clean noisy data, we want the final result to be both smooth and close to the original data set, thus it is logical to simultaneously minimize both of these values, while controlling the
In this thesis, the possibility of cooling small electronic products using new methods is investigated. By improving a base product, different types of methods for enhanced heat dissipation are evaluated. Initially, a literature study is conducted with the goal of analyzing the market and exploring new technology. The literature study is integrated with interviews to gain a more informed understa
Network Display speakers are used as public address (PA) systems as security devices for effective communication of messages. Lately, one of the industry leading companies within IP network product systems launched their own take on this. This thesis aimed at developing a new display speaker in collaboration with them, focusing on sustainability, user feedback and new features. The project follow
BACKGROUND: Heart rate (HR) control in atrial fibrillation (AF) is commonly guided by resting HR measurements, usually with 12‑lead ECG or in-office pulse palpation.OBJECTIVES: We aimed to assess the reliability of resting HR measurements in AF patients with long-term ambulatory ECG and activity monitoring.METHODS: We included patients who had recorded a full-disclosure ambulatory ECG with a mobil
INTRODUCTION: Sexual violence is highly prevalent in North Kivu, the Democratic Republic of the Congo and access to care for survivors remains challenging. This study aims to analyse characteristics of violence, barriers to care and timely access to care among survivors of sexual violence who accessed care in North Kivu following the increase of violence and displacement 2023-2024. Furthermore, it
BACKGROUND: Previous research has shown that mobile health (mHealth) interventions are effective in reminding older adults with chronic conditions about health care appointments and promoting adherence to medication schedules. However, the evidence is limited by the short duration and poor quality of the interventions.OBJECTIVE: We evaluated the effectiveness of the Support, Monitoring and Reminde
