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Desmit, Elliott (author)
Hydrogen Polymer Electrolyte Membrane (PEM) fuel cell technology is becoming increasingly popular in the transportation sector, especially the automotive industry. It can power electric drives by converting hydrogen into electricity in a chemical reaction with oxygen, whose products consist only of water. Therefore, hydrogen PEM fuel cell-based...
master thesis 2024
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Leenen, Femke (author)
Introduction <br/>Opioids are vital for pain management but are highly addictive and may lead to opioid-induced respiratory depression (OIRD), which is the primary cause of death related to both prescription and illicit opioid use. This study employed unsupervised machine learning (ML) to examine potential changes in cluster patterns post-opioid...
master thesis 2024
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Splitthoff, L.J. (author)
Superconducting circuits in cryogenic environments form an excellent material platform for the realization and study of quantum systems. <br/>In this thesis, we continue the exploration of novel types of circuit elements which expand the circuit quantum electrodynamics toolbox to enable exotic, and potentially better circuit implementations. To...
doctoral thesis 2024
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Abbady, Hnady (author)
Expansion microscopy (ExM) is a new approach to super-resolution that relies on the physical isotropic expansion of a sample in a swellable polymer network. We developed a novel ExM method termed Sevenfold Post-labelling Expansion Microscopy (SP-ExM) that enables sevenfold expansion in a single step of thick cerebellar mouse brain and human...
master thesis 2024
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Dawe, Alon (author)
master thesis 2024
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Wang, W. (author)
This thesis explores advanced computational techniques in super-resolution microscopy (SRM), with the primary goal of pushing the limits of achievable resolution towards the 1 nm scale. It includes developments in particle fusion algorithms, data analysis of complex biological structures, and exploration of the impact of molecular dipole...
doctoral thesis 2024
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Diab Montero, H.A. (author)
In this dissertation, I explore ensemble data assimilation methods to enhance our capability to forecast earthquakes and slow slip events, focusing on the critical challenge posed by limited information on the current stress state of faults. <br/>At the outset, the research acknowledges the inherent limitations in our current understanding of...
doctoral thesis 2024
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Hesam Mahmoudi Nezhad, N. (author)
The design of electrostatic charged particle lenses involves changing many geometrical parameters of the lens electrodes as well as changing the voltages at each lens electrodes. The objective of the design is often to get the electrons passing through the lens system to be focused at a specific point and to minimize the aberrations of the lens....
doctoral thesis 2024
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Dundulis, Tomas (author)
The concept of Distributed Electric Propulsion (DEP) aircraft holds great promise in achieving the goals outlined in Flightpath 2050. This involves utilizing electricity to power propellers and enhancing overall flight performance through interactions between the wings and propellers. This thesis investigates the stability and control aspects of...
master thesis 2024
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Long, Youyuan (author)
In Inverse Optimization (IO), it is hypothesized that experts, when making decisions, implicitly engage in solving an optimization problem. If we can reconstruct this optimization problem using the decision data of the expert, then the behavior of the expert can be emulated. In this thesis, a novel inverse optimization model, Kernel Inverse...
master thesis 2024
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Wassenaar, Arjen (author)
The use of geometric anti-springs (GASs) in MEMS accelerometers can not only boost the sensitivity through the static balancing effect, it also introduces the capability to tune the stiffness post-manufacturing by adjusting the balancing force. This paper addresses the challenge of mechanically fine-tuning the stiffness to create the potential...
master thesis 2024
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Wilgenburg, Gert (author)
The use of non-destructive tests for assessing the material status of concrete structures in the Netherlands remains relatively uncommon, despite the growing demand for the preservation of existing structures under the VenR policy of Rijkswaterstaat. Skepticism towards NDTs is reflected in the scarcity of documented case studies in publicly...
master thesis 2024
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van Kleef, Emma (author)
This research examines the resilience of the water sector after a societal collapse, defined by a significant loss of societal complexity. Through Exploratory Modeling and Analysis, this research evaluates how interconnected infrastructures respond to cascading failures caused by disruptions resulting from a societal collapse. The investigation...
master thesis 2024
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Liscio, E. (author)
Human values are the abstract motivations that drive our opinions and actions. AI agents ought to align their behavior with our value preferences (the relative importance we ascribe to different values) to co-exist with us in our society. However, value preferences differ across individuals and are dependent on context. To reflect diversity in...
doctoral thesis 2024
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Cardinali, M. (author)
This doctoral thesis critically examines green space characteristics and their proximity to residents in their ability to help reduce the global disease burden of non-communicable diseases. By dissecting three pivotal pathways of theorized green space health effects through increased physical activity, increased social cohesion, and reduced air...
doctoral thesis 2024
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Boorsma, Reinder (author)
The Wadden Sea is of great ecological importance. Key elements in the Wadden Sea are the extensive intertidal flats. These contain vast amounts of life, serve as feeding grounds for millions of birds, and provide ecosystem services such as coastal protection. It follows that it is important to be able to understand and predict how these vital...
master thesis 2024
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te Marvelde, Pepijn (author)
In the realm of machine learning (ML), the need for efficiency in training processes is paramount. The conventional first step in an ML workflow involves collecting data from various sources and merging them into a single table, a process known as materialization, which can introduce inefficiencies caused by redundant data. Factorized ML strives...
master thesis 2024
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Vos, Ruben (author)
Capacitive deionisation (CDI) is a desalination technology that removes ionic species from water through electrostatic attraction. Recently, a new CDI cell architecture has been developed with multiple channels and electrodes. Here, the ions are driven to migrate from channel to channel to desalinate the water. The inner electrodes of such a...
master thesis 2024
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Prins, Jelle (author)
Sulfide-based solid-state batteries (SSBs) are emerging as a top contender for next-generation rechargeable batteries with improved safety and outstanding energy densities. SSBs incorporate non-flammable solid-electrolytes (SEs), eliminating safety hazards for batteries in electric vehicles and electronic devices. In addition, the development of...
master thesis 2024
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Qiu, Y. (author)
Innovation is critical in driving economic growth. It fosters new products and services to move the economy forward. On the other hand, innovation requires new technologies to thrive. One such technology that has revolutionised various industries is big data. By harnessing big data, businesses can unlock valuable insights to enhance decision...
doctoral thesis 2024
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