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Momentum or trend following investing refers to trading strategies constructed around the idea that in financial markets, the current trend will, more often then not, prevail. In the context of asset prices, this means that previous returns or the price development of an asset is indicative of similar future returns and price development. While at odds with established theory such as the weaker fo

One fifth of the energy consumed by buildings in Sweden is by those built before 1945, many of them constructed from solid masonry walls. Improving their heating energy consumption is a challenge we must face in light of human’s impact on climate change as well as increasing energy costs. Improving thermal performance can be achieved with many insulating materials however the environmental impact

Interdisciplinary teams are considered to be of great importance for addressing complex problems of the present and future, as they are able to address the complexity of society’s most pressing issues such as climate change, or healthcare solutions. They can be found in multiple areas concerned with future- related problems. Research on specific fields such as healthcare and social work suggests t

Interdisciplinary teams are considered to be of great importance for addressing complex problems of the present and future, as they are able to address the complexity of society’s most pressing issues such as climate change, or healthcare solutions. They can be found in multiple areas concerned with future- related problems. Research on specific fields such as healthcare and social work suggests t

This thesis examines how female-targeting fintech firms can internationalize in ways that genuinely promote financial inclusion for women. Conducted as an exploratory interview study with Female Invest, it builds on the broader observation that gender remains largely absent from fintech’s outlook. The study addresses two key research gaps. First, financial inclusion efforts often overlook how cult

The bulk of Norwegian offshore oil and gas platforms are self-sustained with energy, burning a portion of the extracted gas in turbines to power production. Replacing this energy with electricity from renewables – electrifying – has been put forward as a way to quickly slash domestic emissions. This, all while retaining and expanding fossil fuel production, whose lion’s share of emissions stem not

Biometric fingerprint recognition is a cornerstone of modern authentication systems, yet conventional convolutional neural network approaches often struggle with challenging cases, subjected to noise and partial overlap. This thesis explores the potential of transformer-based architectures to address these challenges. We design, implement, and evaluate five models on a large-scale dataset of over

The dune regions of the Curonian Spit are undergoing a gradual deflation and transformation towards a vegetated surface as a result of extensive forestation and dune stabilization efforts limiting sand input to the dunes. Current dune monitoring in the Spit relies mostly on field levelling, whereas radar interferometry – used extensively in land surface monitoring elsewhere – is not utilized. This

Electrocardiogram (ECG) is an important tool for diagnosing myocardial infarction (MI), but analyzing the ECG signals can sometimes be difficult for physicians. Machine learning could potentially help provide a fast and consistent interpretation of ECG signals. This study aims to evaluate the performance of different machine learning models for classifying MI using ECG data from the PTB-XL dataset

We investigate the validity of thermodynamic uncertainty relations (TURs) in a strongly correlated quantum dot system operating in the Kondo regime. TURs place fundamental bounds on the trade-off between precision and dissipation in non-equilibrium systems, and while these bounds are rigorously proven for classical stochastic dynamics, they are not guaranteed to hold in quantum-coherent, strongly

This thesis investigates the use of several acceleration schemes to improve the performance of the primal-dual hybrid gradient algorithm for linear programming (PDLP), a state-of-the-art first-order method for linear programming (LP). The three main acceleration schemes investigated are: Polyak heavy ball momentum, Nesterov acceleration, and steering vectors selected in a residual momentum directi

Antibiotic resistance is a threat that could result in severe consequences for the public health. The synthesis of new antibiotics is therefore increasingly more important. Sialic acid is a sugar which aids bacterial growth, but the opposite effect could occur if bacteria were prevented from utilizing this sugar. This could be achieved through inhibition of pmSiaT, a protein which transports siali

In this thesis, the required shielding for biologically safe radiation levels during the operation of the shortHIBEAM beamline at the European Spallation Source (ESS) in Lund, Sweden, is presented. The shortHIBEAM beamline is 25 meter long, including a 10- meter magnetically shielded section, a detector and an optional shutter system inside the bunker wall. The shortHIBEAM beamline model was desig

Machine Protection Systems (MPS) at the European Spallation Source (ESS) aim to protect equipment from damage while minimizing accelerator downtime with respect to safety and availability requirements. Main Control Room operators and MPS experts rely on alarm systems to effectively detect faults and guide intervention actions. Current implementations in the Fast Beam Interlock System (FBIS) are pr

I use the full count data of census year 1910 to examine the intermarriage determinants in Swedish immigrants and the consequences to those who were married to natives compared to their counterparts in endogamy. The results from intermarriage determinants were in line with prior research in general. The results showed that immigrants in exogamy with natives wouldn’t have a high probability o

Amidst a surge in global demand for materials driving the green transition, this thesis investigates how policymakers can best ensure sound environmental performance in the Swedish mining industry following unexpected mine closures. Current Swedish financial assurance mechanisms, intended to operationalize the Polluter Pays Principle, are hampered by unclear criteria and a focus on individual site

The Traditional Knowledge (TK) of Indigenous Peoples and Local Communities (IPLC) plays a crucial role in addressing the biodiversity and climate crises. Yet, market- and state-driven governance of TK continues to assist and enables its exploitation. I investigate the potential of Traditional Knowledge Commons to protect the knowledge and rights of IPLC from violations. Through a multi-case study

Purpose: To investigate whether the U.S.-centred M&A literature translates to the heterogeneous European markets by analysing the impact of economic distress, uncertainty, and relatedness on stock performance. Methodology: This thesis utilises an event study to provide a perspective on immediate M&A announcement impacts. Subsequently, we examine the acquirer’s post-announcement performanc

This thesis aims to address the complex legal challenges related to the responsibility of multinational corporations for human rights violations and environmental harm in global supply chains. Starting from the context of increasing pressure on transnational businesses and the shortcomings of soft law instruments such as the UN Guiding Principles and the OECD Guidelines, the study examines the pot