1,688 zoekresultaten voor “mathematical and statistical modelling” in de Publieke website
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Antonius Johannes Rabelink
Faculteit Geneeskunde
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Alies Jansen
Faculteit der Geesteswetenschappen
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Inge Ligtvoet
Faculteit der Geesteswetenschappen
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Liwen Meng
Faculteit der Sociale Wetenschappen
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Peter van der Zwan
Faculteit Rechtsgeleerdheid
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Peter de Knijff
Faculteit Geneeskunde
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Susan van den Brink
Wiskunde en Natuurwetenschappen
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Nadia Garnefski
Faculteit der Sociale Wetenschappen
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Barbara Krakovská
Faculteit Governance and Global Affairs
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Data-driven donation strategies: understanding and predicting blood donor deferral
The research in this dissertation aims to optimise blood donation processes in the framework of the Dutch national blood bank Sanquin. The primary health risk for blood donors is iron deficiency, which is evaluated based on donors' hemoglobin and ferritin levels.
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Phenotypic screening with 3D cell-based assays
Traditional drug discovery approaches have been hampered by (in vitro) cell-culture models that poorly represent the situation in the human body.
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Towards predictive cardiovascular safety: a systems pharmacology approach
Promotores: Prof.dr. M. Danhof, Prof.dr. D.R. Stanski
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Novel pharmacometric techniques to quantify the pharmacodynamics of analgesics
The overarching clinical aim of this thesis was to improve pharmacological pain management by characterizing the pharmacodynamics of analgesics. This promotion has been awarded the predicate cum laude.
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SMALL Savannah : an information system for the integrated analysis of land use change in the Far North of Cameroon
Promotores: W.T. de Groot, M. Tchuenté, Co-promotor: J.P. Cheylan
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Interactive scalable condensation of reverse engineered UML class diagrams for software comprehension
Promotores: Prof.dr. J.N. Kok, Prof.dr. M.R.V. Chaudron (Chalmers Univ., Sweden)
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Gibbs-non-Gibbs transitions and vector-valued integration
Promotor: W. T. F. den Hollander, F. H. J. Redig
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Semi-partitioned Scheduling and Task Migration in Dataflow Networks
Promotor: Ed F. Deprettere, Co-promotor: Todor P. Stefanov
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Impact of low-carbon electricity development on carbon emissions in China
Low-carbon (LE) technologies have a significant potential to reduce the total carbon emissions in China.
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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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Nieuwe techniek om bloedvaten te bestuderen
Sonja Boas ontwikkelde nieuwe technieken om het groeiproces van bloedvaten op computationele wijze te bestuderen. De resultaten van haar onderzoek geven een beter begrip van mechanismen in bloedvatgroei en dat is relevant voor de ontwikkeling van medische therapieën. Promotie op dinsdag 22 december…
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Structured Parallel Programming for Monte Carlo Tree Search
The thesis is part of a bigger project, the HEPGAME (High Energy Physics Game). The main objective for HEPGAME is the utilization of AI solutions, particularly by using MCTS for simplification of HEP calculations.
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Samenwerkend leren bij lerarenopeldingen
Het ontwikkelen, gebruiken en evalueren van groepsopdrachten in het hoger onderwijs.
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Functions of leptin in tuberculosis and diabetes: multi-omics studies across species
In this thesis, I study 1) metabolic alterations in tuberculosis related to wasting syndrome in human patients as well as in rodent and fish animal models. 2) effects of the mutation of the leptin gene on cachexia and diabetes in rodent and zebrafish animal models.
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GLOBOX
GLOBOX is a spatially differentiated multimedia fate, exposure and effect model. It is used for the calculation of spatially differentiated LCA characterisation factors on a global scale.
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Developing systems for high-throughput screening of infectious diseases using zebrafish
Promotor: Prof.dr. H.P. Spaink, Co-promotor: Prof.dr. A.H. Meijer
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Archief
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Probing new physics in the laboratory and in space
The Standard Model (SM) of particle physics fails to explain several observed phenomena and is incomplete. In order to resolve this problem, one may extend the SM by adding new particles.
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Boosting the host immune system to fight tuberculosis
New drugs for use as tuberculosis (TB) treatment are needed due to the constrains of classical antibiotics against TB and the rise of antibiotic-resistant strains, making TB a harder and harder disease to treat.
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Dynamic real-time substrate feed optimization of anaerobic co-digestion plants
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M. Bongards (Cologne University)
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ReCiPe
The ReCiPe methodology for Life Cycle Impact Assessment (LCIA).
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Diagnostics for mechanical heating in star-forming galaxies
Promotor: F.P. Israel, Co-Promoter: R. Meijerink
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Foam rheology near the jamming transition
Promotor: Prof.dr. M.L. van Heck, Co-Promotor: B.P. Tighe
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Mosselen organiseren zich als moleculen in materiaal
Mosselen in mosselbedden vormen een patroon dat lijkt op de organisatie van moleculen en atomen in materialen als brons, staal of rubber. Dit gedrag kan dan ook worden beschreven met hetzelfde wiskundige model.
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Plan B for particle physics: finding long lived particles at CERN
This thesis discusses the discovery potential of Intensity Frontier experiments.
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Prediction Sets via Parametric and Nonparametric Bayes: with Applications in Pharmaceutical Industry
This thesis consists of five chapters on how to construct prediction sets for different types of data and models in a parametric or nonparametric Bayesian paradigm.
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Metals in LCIA
A critical look at the impact assessment modelling of metals in Life Cycle Impact Assessment and improvement options.
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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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Probing the properties of dark matter particles with astrophysical observations
It is an established fact that the Standard Model has to be extended to explain the so-called Beyond the Standard Model (BSM) phenomena: dark matter, matter-antimatter asymmetry of the Universe and neutrino flavour oscillations.
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A novel formulation for skin barrier repair : from ex vivo assessment towards clinical studies
The stratum corneum is the outermost skin layer and consists of dead cells embedded in a lipid matrix.
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Surf Innovation Challenge Awards voor Shabaz Sultan en Simon Portegies Zwart
Shabaz Sultan en Simon Portegies Zwart, met de hulp van Vincent Icke, hebben één van de tien Surf Innovation Challenge Awards gewonnen voor hun onderzoek naar 'Interactive high-performance laboratory for Chaos'. De winnaars hebben een geldprijs van 10.000 euro ontvangen en krijgen 6 maanden (tot 1 juni…
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Nonparametric Bayesian Methods in Robotic Vision
In this dissertation non-parametric Bayesian methods are used in the application of robotic vision.
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Coiled-coils on lipid membranes: a new perspective on membrane fusion
Promotor: J.G.E.M. Fraaije, Co-Promotor: A. Kros
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Sterile neutrinos in the early Universe
Promotor: A. Achúcarro, Co-promotor: A. Boyarsky
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d interplay between local three- dimensional chromatin architecture and gene expression
Nucleoid associated proteins maintain the architecture of the bacterial chromosome and regulate gene expression, hinting that their role as transcription factors may involve local three-dimensional chromosome re-modelling.
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Bridging the gap between physics and chemistry in early stages of star formation
A dense region of a gaseous and dusty cloud collapses to form a protostar surrounded by a disk and an envelope. This thesis uses both observations and models to study physical and chemical conditions of these protostellar systems which are likely where planets start to form.
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Licht op het oudste scheepsmodel
In het Scheepvaartmuseum van Amsterdam bevindt zich een getuigd model van een driemasterschip uit de tweede helft van de zestiende eeuw: het oudste scheepsmodel in de museumcollectie. Historicus Louis Sicking deed in opdracht van het museum onderzoek naar dit bijzondere object.
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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…
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Development of an in vitro vascular network using zebrafish embryonic cells
One of the major limitations in culturing complex tissues or organs is the lack of vascularization in the cultured tissue. Development of a functional capillary bed could overcome this problem.
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Fermions and Bosons: Excitons in strongly correlated materials
Promotors: Prof.dr. J. Zaanen, Prof.dr.ir. H. Hilgenkamp
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Improved hard real-time scheduling and transformations for embedded Streaming Applications
This thesis addresses the problem of designing performance and energy efficient embedded streaming systems, that is, systems which process a stream of input data coming from the environment and generate a stream of output data going into the environment.