1,564 zoekresultaten voor “digital and audiovisual methods” in de Publieke website
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Atmospheres of hot alien Worlds
Promotor: Prof.dr. I.A.G. Snellen, C.U. Keller
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Two-Prover Bit-Commitments: Classical, Quantum and Non-Signaling
This thesis considers multi-prover commitment schemes whose security is based on restrictions on the communication between the provers.
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The colours of the extreme universe
This thesis presents pioneering work on the panchromatic emission of some of the most luminous galaxies in the early Universe: star forming galaxies and active galactic nuclei.
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Role of integrin adhesions in cellular mechanotransduction
Promotor: B. vd Water, T. Schmidt, Co-Promotor: E.H.J. Danen
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Electoral Systems and Turnout: Evidence From a Regression Discontinuity Design
Electoral Systems and Turnout: Evidence From a Regression Discontinuity Design. In dit artikel, gepubliceerd op de website SAGE research methods, bespreken auteurs Jaroslaw Kantorowicz en Tobias M. Hlobil hoe een Regression Discontinuity Design uitgevoerd kan worden.
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Synthetic model microswimmers near walls
Synthetic microswimmers take an important place within the interdisciplinary field of active soft matter.
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Aria of the Dutch North Sea
Promotores: C. J. ten Cate; M. A. Ainslie. Co-promotor: W. Slabbekoorn
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Insights into microtubule catastrophes: the effect of end-binding proteins and force
For each living organism health is ensured by correct functioning of its cells. Cells therefore have elaborate methods for regulation of their proteins.
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Involvement of host and bacterial factors in Agrobacterium-mediated transformation
Agrobacterium tumefaciens, a gram-negative plant pathogen belonging to the family Rhizobiaceae, is the causative agent of crown gall disease, which can affect many plant species including agronomically important ones.
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Forces and symmetries in cells and tissues
The way organisms develop from the initial single-cellular state to a complex final assembly like the human body, and how the final body is maintained throughout life, is one of the greatest mysteries and it’s understanding one of the biggest scientific challenges.
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Plasmonic enhancement of single-molecule fluorescence under one- and two-photon excitation
This thesis aims to improve the detection from ultra-weak single emitter by enhancing their emission properties with plasmonic nanostructures. We exploit the wet-chemically synthesized single crystalline gold nanorods (GNRs) as our basic frameworks in the whole studies, simply because of their unique…
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Explicit Computation of the Height of a Gross-Schoen Cycle
Arithmetic geometry concerns the number-theoretic properties of geometric objects defined by polynomials. Mathematicians are interested in the rational solutions to these geometric objects.
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Development of life cycle assessment for residue-based bioenergy
Promotores: Prof.dr.G.R. de Snoo and Dr. R. Heijungs
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Gauge theory and nematic order : the rich landscape of orientational phase transition
Promotor: J. Zaanen
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Machine learning and computer vision for urban drainage inspections
Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.
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Unveiling protostellar disk formation around low-mass stars
Promotor: Prof.dr. E.F. van Dishoeck
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Systematic, phylogenetic and pollination studies of Specklinia (Orchidaceae)
Promotor: Prof.dr. E.F. Smets. Co-promotores: B. Gravendeel, F. Pupulin
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Life Cycle Assessment-Based Guidance for development of New Energy Technologies
The development of new environmentally sound technologies is seen as a key route towards achieving sustainability.
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Orchestration of Distributed LOFAR Workflows
The LOFAR radio telescope produces petabytes of data every year. Radio Astronomers use complex multi-step pipelines to process this data and produce scientific images.
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Contributions to the phylogeny of the haplolepideous mosses
The haplolepideous mosses (Dicranidae) comprise about 4000 species distributed over a wide range of habitats, with great gametophytic and sporophytic morphological variation. Their monophyly is well supported by the results of several molecular phylogenetic studies, which shed light on their relationships…
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Antibiotic Discovery: From mechanistic studies to target ID
The investigations described in this thesis lay out strategies aimed at advancing antibiotic research and development. The examples presented revolve around two main approaches: understanding drug-target interactions and target identification.
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Probing cosmic monsters: confronting hydrodynamic simulations with new observations of high-density environments
Galaxies in the Universe are distributed along the intricate framework of the Cosmic Web. Groups and clusters of galaxies comprise the densest regions in this network, and therefore, are excellent cosmic laboratories to study different aspects of galaxy evolution in extreme environments.
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Network flow algorithms for discrete tomography
Promotor: R. Tijdeman, Co-promotor: H.J.J. te Riele
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Understanding deep meta-learning
The invention of neural networks marks a critical milestone in the pursuit of true artificial intelligence. Despite their impressive performance on various tasks, these networks face limitations in learning efficiently as they are often trained from scratch.
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Microneedle-mediated vaccine delivery
Promotores: Prof.dr. J. A. Bouwstra, Prof.dr. W. Jiskoot
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Counting points on K3 surfaces and other arithmetic-geometric objects
This PhD thesis concerns the topic of arithmetic geometry. We address three different questions and each of the questions in some way is about counting how big some set is or can be.
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From the root of variation: A metabolomics perspective to plant soil-feedback
By growing in a soil plants change the biotic and abiotic properties of the soil in which they grow.
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Safe anytime-valid inference: from theory to implementation in psychiatry research
Classical statistical methods, such as p-values, are difficult for researchers to apply correctly. They for example do not allow drawing conclusions from a study early, or for extending a study with extra research groups that want to make their data available later.
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Spin dynamics in general relativity
Promotor: J.W. van Holten
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Molecular engineering of plant development using Agrobacterium-mediated protein translocation
Supervisor: P.J.J. Hooykaas Co-Supervisor: R. Offringa
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Synthetic Study on ADP-ribosylation
This Thesis focuses on the design and synthesis of ADP-ribosylated compounds that can be applied in biological studies.
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Modelling the dynamics of the innovation process: a data-driven agent-based approach
Promotor: Prof.dr. B.R. Katzy
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mechanisms of G protein-coupled receptors: the case of the adenosine A2B and HCA2/3 receptors
Promotor: A.P. IJzerman
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RaMa-SCENE
A scenario building web-tool and knowledge package to enable multi-level decision making for the transition to the Circular Economy
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Reactivity and Selectivity in Glycosylation Reactions
The glycosylation reaction is a pivotal reaction in creating new and complex oligosaccharides.
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Novel detectors and algorithms for electron nano-crystallography
Promotor: Prof.dr. J.P. Abrahams, Prof.dr. M. van Heel
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Omics data integration with genome-scale modelling of dopaminergic neuronal metabolism
Parkinson's disease is the second most common neurodegenerative disease in the world. One of its symptoms is the loss of dopaminergic neurons in the substantia nigra pars compacta.
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Aggravating matters: accounting for baryons in cosmological analyses
Three major cosmology-focused missions are planned for the next decade: the Euclid space telescope, the Vera C. Rubin Observatory in Chile, and the Nancy Grace Roman Space Telescope.
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Development of kinase inhibitors and activity-based probes
Promotor: H.S. Overkleeft, J. Neefjes, Co-promotor: M. van der Stelt
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Patterns on Spatially Structured Domains
We consider the propagation of electrical signals through nerve fibres.
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Figuring rural development: concepts and cases of land use, sustainability and integrative indicators
Promotores: Prof. dr. G.R. (Geert) de Snoo, Dr. E. (Ester) van der Voet
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Machine learning-based NO2 estimation from seagoing ships using TROPOMI/S5P satellite data
The marine shipping industry is one of the strongest emitters of nitrogen oxides (NOx), a pollutant detrimental to ecology and human health. Over the last 20 years, the pollution produced by power plants, the industry sector, and cars has been decreasing.
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On the optimization of imaging pipelines
In this thesis, topics relating to the optimization of high-throughput pipelines used for imaging are discussed. In particular, different levels of implementation, i.e., conceptual, software, and hardware, are discussed and the thesis outlines how advances on each level need to be made to make gains…
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Chemical reactivity of O2, CO and CO2 on Cu surfaces
Despite the history of studies on methanol formation from CO2, the dominant elementary reaction steps that constitute the chemical mechanism for this catalyzed process are not determined.
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Artificial metallo-proteins for photocatalytic water splitting: stability and activity in artificial photosynthesis
Climate change is one of the largest challenges faced by humanity. To combat this research into alternatives to fossil fuels is ongoing. Dihydrogen is considered a good alternative fuel, since its burning only forms water.
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Resolving gas-phase metallicity in galaxies
Galaxies are environments where gas coalesces, cools, and is converted into stars. However, it remains unclear the exact mechanisms through which galaxies acquire, redistribute and lose their gas.
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Advanced in vitro models for studying drug induced toxicity
Promotor: B.van de Water, Co-promotor: L.S.Price
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Applications of graphene in nanotechnology : 1D diffusion, current drag and nanoelectrodes
Graphene nanoribbons (GNRs) are used as a current carrying substrate in investigation of current-induced forces in a low-temperature STM (chapter 2).
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Single-molecule fluorescence in sequence space
The sequence-dependence of biomolecular interactions involving nucleic acids and proteins is essential for numerous processes inside the cell. Insights into the underlying molecular mechanisms have been obtained using various biochemical and biophysical methods on two different levels — bulk and sin…
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Computational speedups and learning separations in quantum machine learning
This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…