2,970 zoekresultaten voor “mathematical and statistical modelling” in de Publieke website
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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.
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Drie Leidse wiskundigen benoemd tot Fellow van de American Mathematical Society
Manjul Bhargava, Frank den Hollander en Hendrik Lenstra zijn toegetreden tot de ‘Inaugural Class of AMS Fellows’ van het ‘Fellows of the American Mathematical Society program’.
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The integration of meta-analysis and classification & regression trees: meta-CART
In meta-analysis, heterogeneity often exists between studies. In such cases, it is essential to investigate the sources of heterogeneity and understand the relationship between effect size and study characteristics (i.e., moderators).
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Anyonic, cosmic, and chaotic: three faces of Majorana fermions
In my thesis I study Majorana fermions from three different perspectives. The first one corresponds to non-interacting Majorana fermions that, however, pose non-trivial topological properties. The second one corresponds to strongly interacting Majoranas and the third to relic neutrinos. No one knows…
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Phylogeny and species delimitation within the moss genus Dicranum Hedw.
Promotor: Prof.dr. E. Smets, M. Stech
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adaptability of β-lactamase: a study of inhibitor susceptibility in various model systems
β-Lactamases are enzymes that can break down β-lactam substrates, such as antibiotics, preventing the use of these antibiotics for the treatment of various infectious diseases. However, some compounds, β-lactamase inhibitors, can block these enzymes allowing for possible treatments using a combination…
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Quantifying the toxicity of mixtures of metals and metal-based nanoparticles to higher plants
Promotores: Prof.dr. W.J.G.M. Peijnenburg & Dr. M.G. Vijver
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Quantum local asymptotic normality and other questions of quantum statistics
Promotor: R. Gill, Co-promotor: P. Massart
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Intermittency and Number Expansions for Random Interval Maps
This dissertation consists of two parts, each of which considers a different research area related to random interval maps. In the first part we are interested in random interval maps that are critically intermittent.
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Gerard van Westen: 'Ons model voorspelt wat kandidaat-medicijnen doen in je lijf'
Hij praat snel en enthousiast. Logisch, want Gerard van Westen is als de machinist op een heel snelle trein. Het eindstation: een virtuele mens, bestaand uit algoritmen die voorspellen wat een toegediende stof doet in ons lichaam. De trein is al een heel eind op weg. De farmaceutische industrie is ook…
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Zebrafish xenograft model: identification of novel mechanisms driving prostate cancer metastasis
Prostate cancer (PCa) is one of the most prevalent cancer in males.
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First-pass and systemic metabolism of cytochrome P450 3A substrates in neonates, infants, and children
Growth and development affect the metabolism of drugs administered to neonates, infants, and children.
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Concepts and applications for evidence-based dosing in morbidly obese patients before and after weight loss surgery
Promotor: C.A.J. Knibbe, Co-promotores: H.P.A. van Dongen, B. van Ramshorst
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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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Repackaging in South–North Policy Learning: The Chilean Model of Pension Reform as a Lopsided Exportschlager
In dit artikel vatten Kristin Makszin en Achim Kemmerling bewijs samen over hoe het VK en de VS leren van het Chileense pensioenmodel, maar beide landen slagen er niet in krediet toe te kennen of de lessen te vervormen.
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Vaccination and Targeted Therapy Using Liposomes; Opportunities for Treatment of Atherosclerosis and Cancer
This thesis focuses on using liposomes in two different treatment strategies; vaccination (or immunotherapy) and delivery of a small molecule, and in two different disease models; cancer and atherosclerosis.
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Ecology and genomics of Actinobacteria and their specialised metabolism
Filamentous Actinobacteria, such as Streptomyces, produce a plethora of chemically diverse bioactive metabolites that have found applications across medicine, agriculture and biotechnology.
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The flux and flow of data: connecting large datasets with machine learning in a drug discovery envirionment
This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…
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Understanding membrane fusion at the molecular level using a biomimetic model system
Kros
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Topics in the arithmetic of del Pezzo and K3 surfaces
Promotores: P. Stevenhagen, L. van Geemen (Università degli studi di Milano), Co-Supervisor: Ronald M. van Luijk
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Quantitative pharmacology approaches to inform treatment strategies against tuberculosis
Tuberculosis (TB) is associated with 1.5 million deaths annually. There is a need exists to optimize both current as well as novel antibiotic combination treatment strategies to improve the effectiveness and safety of treatments against TB.
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pharmacokinetics-pharmacodynamics in zebrafish: integration of experimental and computational methods
The zebrafish is a promising vertebrate model organism in early drug discovery and development.
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Towards circular and energy-efficient management of building stock
Material circularity and energy efficiency are highly relevant and intertwined issues for the transition towards a carbon-neutral and circular built environment. In the Netherlands, the building sector has been rendered a priority towards a circular and low-carbon society.
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NMR studies of protein-small molecule and protein-peptide interactions
Promotor: M. Ubbink, Co-promotor: G. Siegal
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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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Accurate modeling of the dynamics of dissociative chemisorption on metal surfaces
Fundamental understanding of molecular reactions on metal surfaces is important for improving heterogeneous catalysis.
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Scalability and uncertainty of Gaussian processes
The main theme of this thesis is the theoretical study of Gaussian processes as a tool in Bayesian nonparametric statistics.
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maximising approaches to evaluate the trade-offs involved in the evergreen and deciduous conundrum
Which traits and/or trade-offs determine benefits of being deciduous or evergreen?
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Dormancy in stochastic interacting systems
Organisms often need to adapt more efficiently and devise new strategies for surviving difficult ecological circumstances.
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Lasers, lenses and light curves: adaptive optics microscopy and peculiar transiting exoplanets
Promotores: Prof.dr. C.U. Keller, Prof.dr. H.C. Gerritsen
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Data science for tax administration
In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.
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G-zips and Ekedahl-Oort strata for Hodge type Shimura varieties
Promotores: S.J. Edixhoven, F. Andreatta
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Solving multiplication and division problems
Latent variable modeling of students' solution strategies and performance
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José Mogollón
Wiskunde en Natuurwetenschappen
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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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Semi-partitioned Scheduling and Task Migration in Dataflow Networks
Promotor: Ed F. Deprettere, Co-promotor: Todor P. Stefanov
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Distance-based analysis of dynamical systems and time series by optimal transport
Promotor: S.M. Verduyn Lunel
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Clavis Aurea? Structure-enabled approaches of identifying and optimizing GPCR ligands
Promotores: A.P. IJzerman, H.W.T. van Vlijmen
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A Model Membrane Approach to Elucidate the Molecular Organization in the Skin Barrier
Promotor: J. A. Bouwstra
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Me, My Fiends, and I
A neuro-ecological perspective on adolescent prosocial development
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Patterns on Spatially Structured Domains
We consider the propagation of electrical signals through nerve fibres.
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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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Causal Discovery from High-Dimensional Data in the Large-Sample Limit
Developing robust algorithms and theory for establishing cause-effect relationships from observational data that scale up to large data sets
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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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representation in Multi-sensor Earth Observation Products through phenology and trait-based priors
What are the behaviours of plant traits throughout various points in the growing season in a radiative transfer model framework and how well can this knowledge be integrated through data assimilation to provide priors for robust local and global vegetation products and analysis?
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Machine learning for radio galaxy morphology analysis
We explored how to morphologically classify well-resolved jetted radio-loud active galactic nuclei (RLAGN) in the LOw Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) using machine learning.
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Cosmic tomography with weak gravitational lensing
We explored the Universe using weak gravitational lensing, a phenomenon that occurs when light from distant galaxies is bent by the gravitational fields of closer cosmic objects, much like how a lens distorts light.
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Using insertional mutagenesis to identify breast cancer drivers and therapy resistance genes in mice
In this thesis, we used genetically engineered mouse models to identify genes and pathways that are involved in ILC formation and in the development of resistance to FGFR-targeted therapy.
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Exploration on and of Networks
This dissertation consists of two parts, with the common theme
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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.