2,254 zoekresultaten voor “clinical this” in de Publieke website
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Cavity quantum electrodynamics with quantum dots in microcavities
Promotor: Prof.dr. D. Bouwmeester
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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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Stochastic and Deterministic Algorithms for Continuous Black-Box Optimization
Continuous optimization is never easy: the exact solution is always a luxury demand and the theory of it is not always analytical and elegant.
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When materials become critical: lessons from the 2010 rare earth crisis
Promotor: G.J. Kramer Co-Promotor: E.G.M. Kleijn
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The evolution and plasticity of life histories upon variation in nutrition: on aging focused integrative approach
Promotores: Prof.dr. P.M. Brakefield, Prof.dr. B.J. Zwaan (Wageningen Universiteit)
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Metabolomics approaches for unravelling host-gut microbiota changes in different stages of cognitive impairment
The investigation into the bidirectional communication between the gut and its host is a rapidly growing area of research, attracting considerable attention for its potential to provide crucial insights into health and disease.
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Innovation and stasis
The name ‘Jambi flora’ refers to fossil plants found as part of a rock formation from the Early Permian (296 million years old), located in the Jambi Province of Sumatra, Indonesia.
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Orchid mycorrhizal interactions: evolutionary trajectories and ecological variations
The mycorrhizal symbiosis is among the most widespread species interactions on Earth. This thesis focuses on orchid mycorrhiza, a unique mycorrhizal type that has caught scientists’ attention for centuries.
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Cryo Electron Tomography Studies On Bacterial Chemosensory Arrays
Bacterial chemosensory arrays are protein assemblies that are the key structural and functional component for motile bacteria to sense their internal or environmental chemical signals.
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Towards understanding the toxicity of copper nanoparticles in aquatic ecosystems
Promotores: Prof.dr. W.J.G.M. Peijnenburg & Dr. M.G. Vijver
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Assembling anisotropic colloidal building blocks
This PhD-thesis presents a study on micron-sized particles, so-called colloids. By controlling the chemical and physical properties of these particles, such as the interparticle interaction and the particles’ shape, colloids can act as building blocks that self-assembly into larger structures.
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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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Soil legacy effects on aboveground plant-insect interactions
In this thesis, the role of plant-mediated soil legacy effects in shaping aboveground plant-insect interactions was investigated.
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A fixed point approach towards stability of delay differential equations with applications to neural networks
Promotor: S.M. Verduyn Lunel, Co-Promotor: O.W. van Gaans
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Error bounds for discrete tomography
Promotores: K.J. Batenburg, B. Koren
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Many objective optimization and complex network analysis
This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.
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Neutral outflows in high-redshift dusty galaxies
Outflows are crucially important for the gas budget and evolution of luminous star-forming galaxies and AGNs, with observed mass outflow rates of the same order as the star formation rate. Greater star formation and black hole growth lead to more intense feedback and outflows, resulting in self-regulated…
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Applying data mining in telecommunications
This thesis applies data mining in commercial settings in the telecommunications industry.
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Comorbidities, complications and treatment of childhood obesity
Childhood obesity is an increasing health issue. In the first part of this thesis comorbidities in children with obesity were studied, concerning the diagnostic process and dosing regimens.
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Random walks and the contact process
Promotores: W. Th. F. den Hollander, M.O. Heydenreich
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Multiple star formation: chemistry, physics and coevality
Multiple stars, that is two or more stars composing a gravitationally bound system, are common in the universe.
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Getting personal: Advancing personalized oncology through computational analysis of membrane proteins
Cancer is considered the silent pandemic of the 21st century and the second leading cause of death worldwide.
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The mechanical genome : inquiries into the mechanical function of genetic information
The four possible segments A, T, C and G that link together to form DNA molecules, and with their ordering encode genetic information, are not only different in name, but also in their physical and chemical properties.
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Laboratory studies of Water Ice in Space
Astronomical observations of cold regions in the universe show a rich inventory of ices. Part of these ices may end up on planets like our own, but in that journey they will be exposed to considerable amounts of radiation.
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Predicting the future: Predictive control for astronomical adaptive optics
The field of exoplanet research is rapidly advancing through the development of new technology, observing techniques, and post-processing methods.
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The energy and material related impacts of the transition towards low-carbon heating: a case study of the Netherlands
This dissertation investigates the energy and material related impacts of the transition towards a low-carbon heating system in the Netherlands, in the context of its 2050 climate and circular economy policy goals.
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Small changes for long term impact: optimization of structure kinetic properties: a case of CCR2 antagonists
Promotor: Prof.dr. A. P. IJzerman, Co-Promotor: L.H. Heitman
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Potential interference of fungal endophytes in Vanilla planifolia on vanilla flavor compounds biosynthesis
Natural vanilla flavor is one of the most important in the world. However, the cost of this flavor is expensive. Production of this flavor by alternative methods, could reduce the cost.
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Giant barrel sponges in diverse habitats: a story about the metabolome
Marine sponges are important members of reef ecosystems, as they play ecological roles that are essential for the health of the reef.
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Atomic Insights into Hydrodesulfurization
Hydrodesulfurization (HDS) is an ubiquitous part of oil refining that ensures that fuels are cleaned of impurities and environment release of pollutants such as SOx and NOx gasses are minimized.
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Dynamical Gibbs-non-Gibbs transitions and Brownian percolation
Promotor: Prof.dr. W.Th.F. den Hollander, Co-promotor: R. Fernandez.
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Protostellar jets and planet-forming disks: Witnessing the formation of Solar System analogues with interferometry
The focus of this thesis is how stars like our Sun and planets like Jupiter, Saturn, and Earth are formed.
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The advantages and disadvantages of bioorthogonal proteins
This thesis describes the use of bioorthogonal proteins in immunological settings. It provides an introduction towards the field of protein modification, which was used throughout the thesis for the expression of proteins containing unnatural amino acids.
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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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Unraveling multifaceted roles of Grainyhead-like transcription factor-2 in breast cancer
Breast cancer is the most common cancer in women worldwide. Metastasis, the process by which cancer cells spread to other parts of the body, makes treatments less effective. It is important to unravel the mechanism of metastasis.
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A search for transient reductions in the speed of sound of the inflaton in cosmological data, and other topics
Promotor: Prof.dr. A. Achucarro
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Scheduled protocol programming
With the advent of multicore processors and data centers, computer hardware has become increasingly parallel, allowing one to run multiple pieces of software at the same time on different machines. Coordination of these pieces is best expressed in a coordination language as an explicit interaction protocol…
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Multi-dimensional feature and data mining
In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.
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Systems vaccinology: molecular signatures of immunity to Bordetella pertussis
Promotor: G.F.A. Kersten, W. Jiskoot, Co-promotor: B. Metz
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The interplay between stars, gas and dust in faint star-forming galaxies
When observing star-forming galaxies, we are not only seeing stellar light, but we also see how this interacts with galactic gas and dust. This thesis contains studies of the stellar, nebular and dust properties of low mass star-forming galaxies.
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Transdisciplinary Perspectives on Validity: Bridging the Gap Between Design and Implementation for Technology-Enhanced Learning Systems
Technologies that help to enhance our educational environments can be found everywhere.
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Seeing voices: the role of multimodal cues in vocal learning
Humans and songbirds learn their vocalizations early in life by exposure to the vocalizations of adult conspecifics. Often, better learning outcomes are achieved with live, social, tutors than with audio-only exposure to vocalizations.
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Coming of age: An insight into the mechanisms of developmental ageing and post-harvest senescence in lettuce
The vegetative growth period for leafy vegetables like lettuce is essential for yield and quality.
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Fire and grazers in the West African savanna
Promotores: H.A. Udo de Haes, H.H.T. Prins, Co-promotor: H.H. de Iongh
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Interactions from lipid membrane deformations
Biological cells, the basic building blocks of all life forms, are surrounded by a lipid membrane. More than half of the membrane is occupied by membrane proteins, which can regulate the cell functionality through specific arrangements.
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Spectroscopic characterization of exoplanets: From LOUPE to SINFONI
Over the past years it has been discovered that the population of extra-solar planets is large and diverse.
- The Holocaust and Our World
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System-level design for efficient execution of CNNs at the edge
A convolutional neural network (CNN) is a biologically inspired algorithm, highly capable at processing images and videos.
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Synthesis of well-defined ADP-Ribosylated biomolecules
Promotor: G. A. van der Marel, Co-promotor: D. V. Filippov
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Model-assisted robust optimization for continuous black-box problems
Uncertainty and noise are frequently-encountered obstacles in real-world applications of numerical optimization. The practice of optimization that deals with uncertainties and noise is commonly referred to as robust optimization.