The use of technology, specifically machine learning, to address complex issues in developing regions has become increasingly prominent. In the context of wildlife conservation, combating poaching has emerged as a significant application of such technology. This research project aims to develop machine-learning-based low-cost antipoaching solutions. It presents three case studies, each exploring a

This thesis explores the application of machine learning techniques to predict mortality risk using data from the Swedish Adoption/Twin Study of Aging (SATSA). Through the development and evaluation of multiple supervised learning models, including Random Forest and Histogram Gradient Boosting classifiers, the study examines mortality predictors across 10-year and 20-year timeframes. The models ac

Hydrocyclones are important pieces of equipment used within the mineral processing industry, where they are used for sorting ore particles suspended in water based on their size. The turbulent flow within a hydrocyclone is today usually modelled using demanding computational fluid dynamics (CFD) simulations. In this thesis, we explore the use of physics-informed neural networks (PINNs) as an alter

Multi-agent pathfinding (MAPF) is becoming increasingly interesting because of its role in complex systems, such as warehouse sorting, search-and-rescue missions and autonomous vehicles. Another application for path planning is within production in industry when more advanced solutions than conveyor belts are developed. One such advanced transportation system is the XPlanar system, which is produc

Introduction: Discordant results between cystatin C and creatinine in estimating glomerular filtration rate (GFR) are an important medical issue. However, the equation that should be used when GFR estimates are discordant remains unclear. Methods: This cross-sectional analysis included 15,485 participants with GFR measured by the clearance of an exogenous marker, serum creatinine, and cystatin C.

Debate over the future of international science takes place in light of two trends that are frequently interpreted as standing in tension with each other. The longer-term pattern shows that science is increasingly an international endeavour, as collaboration across borders has grown. A more recent apparent re-nationalisation of science, however, raises questions over the march of international sci

Sialic acids are a group of 9-carbon carbohydrates abundant in humans, where they can be found on the surface of all cell types. They play an important role in biological signaling and therefore numerous physiological and pathophysiological processes. Some pathogenic bacteria are able to use the sialic acid of its host, which they uptake through transporters in their membrane, as an energy source

Research on monoclonal antibody (mAb) has considerably gained importance during the last decades, not only for cancer therapy but also for its importance in variety of fields. Unfortunately, the development phase can take several years before obtaining FDA approval, hence alternative approaches that could potentially shorten this timeline are critically needed. For instance, flow-injection analysi

A series of rigid spiro-acetal-containing diol monomers derived from citric acid were synthesized and reacted with five different diisocyanates to form partially biobased thermoplastic polyurethanes (PUs) with different chemical and physical properties. The PUs had a renewable carbon content between 48 and 71%, and all formed transparent and colorless films with glass-transition temperatures betwe

This is a poster presentation of the project RIGHydro for the MissionGreenFuels Annual Meeting 2025. The project RIGHydro is funded by the Innovation Fund Denmark.The Project "Regulatory Innovation to Incentivize Green Hydrogen" (RIGHydro) aims to contribute to the deployment of green hydrogen as a key component of the green transition in Denmark, the EU and beyond. Through an analysis of the late

This thesis comprises three self-contained chapters that explore how individual behavior, incentives, and institutional frameworks shape the allocation of scarce resources, with particular emphasis on healthcare markets. The first chapter examines the impact of intrinsic truth-telling preferences on consumer welfare within a priority pricing mechanism, in which individuals can gain faster access t

This dissertation examines how Jewish and non-Jewish Polish survivors of Nazi persecution who came to Sweden in 1945 as ‘repatriates’ and were associated with the Polish Research Institute in Lund, Sweden (PIZ) were engaged in transnational social and political processes during the early postwar period, including documenting Nazi persecution and contributing to postwar humanitarian and justice eff