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Water management is a critical factor for the performance and reliability of polymer electrolyte fuel cells (PEFCs) operating as energy generation systems. Inadequate operating conditions may lead to non-uniform water distribution, resulting in membrane dehydration or flooding of porous media, both of which adversely affect cell operation. In this work, a two-dimensional reduced-order model is dev
Musculoskeletal health is essential to health, well-being, and independence across the life course. Musculoskeletal conditions including inflammatory joint diseases, osteoarthritis, back pain, osteoporosis, and fragility fractures are among the greatest causes of disability globally imposing a major burden on health and social care and economic impact also through lost productivity. Despite effect
Freevalve AB develops camless valvetrains for internal combustion engines using pneumatic and hydraulic systems. An air compressor is used to generate pressure in the pneumatic system. To further increase efficiency of the Freevalve system, a new compressor tailored to its purpose, is being developed in house. This thesis is part of the development of this compressor, which is a reciprocating pis
A growing environmental issue today is the amount plastic pollution in the ocean. To investigate how it might affect marine life, an important aspect is to study how plastics are transported by ocean currents and where it ends up. This can be done by use of Lagrangian simulation of plastic particles in computer ocean models. To improve the quality of the output from such simulations the number of
This Master's thesis in Biomedical Engineering investigates the performance and generalizability of linear regression models in context of prosthesis control for short residual limb amputees. This thesis uses intramuscular electromyography data, and a regression and emplys a regression technique called Elastic Net Regression - a technique that combines L1 and L2-regularization - to predict 1-D
Marine and salt marsh sediments contain large amounts of organic carbon (OC) and are therefore important in the global carbon cycle. Here, we collated previously published and unpublished measurements of sediment OC in marine and salt marsh sediments in European regional seas (EURO-CARBON; available at https://doi.org/10.5281/zenodo.14905489). To the extent possible the OC data were complemented b
Accurate prediction of spatial yield variations within individual fields is crucial for precision agriculture, as it enables optimized resource allocation and targeted crop management. In this study, we propose a novel framework that leverages remote sensing data and Graph Attention Networks (GATv2) to predict fine-scale yield variations for winter wheat at a high resolution (10 m × 10 m). The obj
The curve number (CN) method, developed by the Natural Resources Conservation Service (NRCS), is one of the most widely used approaches worldwide to estimate runoff from rainfall events. However, one of the remaining uncertainties in the method remains whether to apply a frequency-matched or natural data approach for computing the CN from rainfall-runoff data. To address this knowledge gap, this s
The mobilization of water has been key for the reconfiguration and modernization of the Spanish state. During the Francoist dictatorship (1939–1975), the hydro-social reengineering of Spain was central to Franco's political mission but failed to provide for subnational, regionalist aspirations which subsequently pursued their own agendas for water development. In this paper we examine the (failed)
Amyloid-β (Aβ) positron emission tomography (PET) imaging and cerebrospinal fluid (CSF) biomarkers are now established tools in the diagnostic workup of patients with Alzheimer's disease (AD), and their use is anticipated to increase with the introduction of new disease-modifying therapies. Although these biomarkers are comparable alternatives in research settings to determine Aβ status, biomarker
Microplastics are increasingly recognized as a pervasive pollutant in both aquatic and terrestrial environments, raising pressing concerns about their ecological impacts and implications for human health. Traditional detection and quantification methods—including manual microscopy and standalone spectroscopic techniques—offer reliable accuracy but are limited by labor-intensive procedures and low
Massively parallel sequencing (MPS) is increasingly used in forensic DNA analysis for SNP and STR genotyping, though accredited proficiency tests remain limited. To address this, five forensic DNA laboratories from four countries participated in a study to assess MPS methods across different kits and platforms. In this study ForenSeq DNA Signature Prep Kit, ForenSeq MainstAY kit, Precision ID Glob
Metal oxide nanoparticles are essential in various applications, and the synthesis through gas-phase generation methods offers a rapid and reliable pathway for nanoparticle production. Yet achieving precise control over their formation remains challenging due to the complex nature of oxidation processes. While bulk oxidation states can be assessed via off-line measurements, the dynamic nature of s
The durability of existing infrastructures is a worldwide challenge in structural engineering. Societal demands for reducing greenhouse gas emissions, coupled with the financial constraints faced by many countries, push infrastructure management companies and owners to extend the lifespan of existing structures. However, extending the lifespan comes with a set of problems related to safety and tim
Logs are prevalent in modern cloud systems and serve as a valuable source of information for system maintenance. Over the years, many supervised, semi-supervised, and unsupervised log analysis methods have been proposed to detect system anomalies. In particular, semi-supervised methods have garnered increasing attention as they balance reduced labeled data requirements and optimal detection perfor
Pixel sensors in 3D technology equip the outer ends of the staves of the Insertable B Layer (IBL), the innermost layer of the ATLAS Pixel Detector, which was installed before the start of LHC Run 2 in 2015. 3D pixel sensors are expected to exhibit more tolerance to radiation damage and are the technology of choice for the innermost layer in the ATLAS tracker upgrade for the HL-LHC programme. While
In some ways, it can feel like conducting empirical research has become more and more difficult. Some standards that were widely agreed upon in the past for conducting research on gender and/or sex appear to be contested today (see Fraser, 2018). Some questions that may feel uncontroversial to ask for some research participants are a source of minority stress, exclusion, and outrage for others. Ca
Pedagogical development programmes (PDPs) are important for developing teaching skills for university teaching staff. Due to participants’ different teaching roles, their professional development needs and interests may also be different. However, little is known regarding the immediate needs of university teaching staff when they enter PDPs and how these may differ according to their roles. This
