1,632 zoekresultaten voor “mathematical and statistical modelling” in de Publieke website
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quantification of growth hormone secretion : application of model-informed drug development in acromegaly
Growth hormone profiles are pulsatile and highly variable between individuals, limiting the implementation of mathemathical models to quantify an individual's secretion.
- Wiskundige modellen van patroonvorming bij biologische ontwikkeling
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Empirical signatures of universality, hierarchy and clustering in culture
In this thesis,
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Modeling interstellar bubbles: near and far
Promotor: Prof. dr. A.G.G.M. Tielens
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Computational modeling of mycobacterium infection and innate immune reponse in zebrafish
Promotor: Prof.dr. J.N. Kok
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Optimally weighted ensembles of surrogate models for sequential parameter optimization
It is a common technique in global optimization with expensive black-box functions to learn a surrogate-model of the response function from past evaluations and use it to decide on the location of future evaluations.
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Anisotropy in cell mechanics
Mechanical interactions between cells and their environment play an important role in many biological processes.
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The parabolic Anderson model and long-range percolation
Promotor: Prof.dr. F. den Hollander, G.Maillard
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Constraint-Based Analysis of Business Process Models
Business Process Model and Notation (BPMN) has become the standard for business processes diagrams.
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Microscopy and Spectroscopy on Model Catalysts in Gas Environments
In surface science there is great effort to move from studying simple, flat model surfaces in vacuum to investigating more complex model catalysts in gas environments (in situ). This thesis gives three examples of such studies using microscopy and spectroscopy.
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Knowledge extraction in the quantum random-oracle model
The aim of this thesis is to present novel techniques for proving cryptographic schemes secure against quantum adversaries. Most results are within the context of an idealized model called the ‘quantum random-oracle model’.
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Development of Quantitative Nanostructure Activity Relationship (QNAR) Models Predicting the Toxicity of Metal-based Nanoparticles to Aquatic Species
Describe and identify what dosimetry parameters are of importance to interpret dose-response relationships (eg., mortality, sub-lethal, growth or reproduction inhabitation, DNA damage and reactive oxygen species, etc. ) for metal-based nanoparticles? How to develop quantitative models that enable to…
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Personalised medicine for multiple outcomes: methods and application
The main objective of this thesis was to develop clinically relevant survival models for patients with high-grade soft tissue sarcoma of the extremities, in particular the development and validation of prediction models for use in clinical practice.
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Quantitative pharmacological modelling for optimizing treatment of sepsis
Sepsis is a life-threatening condition caused by a dysregulated host response to infection, it is associated with significant morbidity, mortality, and with a high financial burden on global healthcare systems. Bacterial infections are the primary cause of sepsis, but the growing prevalence of antimicrobial…
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A recipe for desert: analysis of an extended Klausmeier model
Promotores: Arjen Doelman, Jens Rademacher, Max Rietkerk
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Distributions
Statistical distributions in LCA and converting between different representations of these distributions.
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Using mouse models to uncover genes driving tumorigenesis and therapy resistance in human breast cancer
To improve cancer treatments, personalized medicine approaches have aimed to identify exactly which mutations are driving tumor development in a given patient and specifically target these mutations using precision therapies.
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Global Scenarios of Environmental Impacts with Structural Economic Models
To limit the effects of climate change, global average temperature since pre-industrial measurements are to be kept well below 2 °C preferably even at 1.5 °C.
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Enriching official economic statistics using data-driven modelling techniques
Netherlands Statistics (CBS), Leiden University and the University of Amsterdam have started a collaboration in the form of a research project titled 'Enriching official economic statistics using data-driven modelling techniques'.
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Biomimetic models of [NiFe] hydrogenase for electrocatalytic hydrogen evolution
The growing demand of energy indicates that global energy resources in the form of fossil fuels will not be sufficient in the future. In order to solve potential future energy problems development of a sustainable hydrogen economy is highly desirable.
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Lattice models for Josephson junctions and graphene superlattices
In this thesis we study quantum transport phenomena on the nanometer scale, in two classes of materials: topological insulators with induced superconductivity and graphene superlattices.
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Ruben Huele
Wiskunde en Natuurwetenschappen
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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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PhD Position: Computational Modeling of Auger Capture Rates
Wiskunde en Natuurwetenschappen, Leids Instituut voor Chemisch Onderzoek (LIC)
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An Online Corpus of UML design models: Construction and empirical studies
Promotores: J. Kok, M. Chaudron (Chalmers University)
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Mechanistic modelling of drug target binding kinetics as determinant of the time course of drug action in vivo
Drug-target binding kinetics determine the time course of the central event in pharmacotherapy: Drug-target interaction.
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Spectral signatures of breaking of ensemble equivalence
This thesis explores Breaking of Ensemble Equivalence (BEE) in random graph models by examining the spectral properties of adjacency matrices. The goal is to identify spectral characteristics that differentiate random graph ensembles, enhancing the understanding of complex network structures and beh…
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Driemaal Nederlands eremetaal bij European Girls’ Mathematical Olympiad
Het Nederlandse team was bij de achtste European Girls' Mathematical Olympiad zeer succesvol. Drie van de vier teamleden gingen met een medaille naar huis. De Wiskunde Olympiade vond dit jaar plaats van 7 tot 13 april in de Oekraïense hoofdstad Kiev.
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The power of biotic ligand models : site-specific impact of metals on aquatic communities
Promotor: G.R. de Snoo, Co-promotores: M.G. Vijver, J.P.M. Vink
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Insights from modeling metabolism and amoeboid cell motility in the immune system
This thesis focuses on two processes involved in fighting infections: metabolism and immune cell motility and navigation.
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Applications of multisource data-based dynamic modeling to cell-cell signaling and infectious disease spreading
The emergence of complex diseases resulting from abnormal cell-cell signaling and the spread of infectious diseases caused by pathogens are significant threats to humanity. Unraveling the dynamic mechanisms underlying cell-cell signaling and infectious disease spreading is crucial for effective disease…
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Professor Richard Gill bij TEDxFlanders "Statistical Errors in Court"
Richard Gill, hoogleraar Statistiek bij de Universiteit Leiden, heeft onlangs een voordracht gegeven “Statistical Errors in Court” tijdens een recent evenement van TEDx Vlaanderen. Hij spreekt over de zaak Lucia de Berk, een verpleegster die, op basis van met name statistisch materiaal, schuldig werd…
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Modelling the role of mycorrhizal associations in soil carbon cycling: insights from global analyses of mycorrhizal vegetation
In this PhD study, I aim to deepen our understanding of the influence of major mycorrhizal types, namely arbuscular mycorrhizae (AM) and ectomycorrhizae (EM), on the global soil carbon cycle and their potential distribution changes under future environmental shifts.
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Metastability for low-temperature Kawasaki dynamics with two types of particles
Promotor: W.Th.F. den Hollander, Co-promotor: F.R. Nardi
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Development of a Kidney-on-a-Chip Model for Compound Screening and Transport Studies
Pharmaceutical companies, governments and the general public have become increasingly aware that animal models used in drug testing lack vital aspects to serve as an accurate representation of human biology. As models of the human body should become more physiologically relevant, animal models no longer…
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Cholesterol metabolism in mouse models of atherosclerosis and adrenal steroidogenesis
Cholesterol influences many pathways, including serving as precursor for adrenal steroidogenesis. Imbalance of cholesterol levels has been implicated in several diseases including cardiovascular diseases and its underlying pathology, atherosclerosis.
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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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Advances in GPCR Modeling Evaluated by the GPCR Dock 2013 Assessment: Meeting New Challenges
Source: Structure , Volume 22, Issue 8, pp. 1120-1139 (2014)
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Néron models in high dimension: nodal curves, Jacobians and tame base change
We describe certain birational modifications of nodal relative curves over a regular base of arbitrary dimension.
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Pharmacogenomics in drug development: implementation and application of PKPD model based approaches
Promotor: Prof.dr. M. Danhof, Co-Promotor: J. de Jongh
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Pharmacogenomics in Drug Development: Implementation and Application of PKPD Model Based Approaches
Model based approaches, integrating physiological parameters or linking exposure with response, are powerful tools to quantify and evaluate the impact of genetic differences that are reflected as variability of drug exposure and/or clinical response(s). This thesis “Pharmacogenomics in Drug Development: …
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Development of novel anti-cancer strategies utilizing the zebrafish xenograft model
In this thesis, we will utilize embryonic zebrafish tumour models to understand the interaction between engrafted human cancer cells and macrophages from the host, test drug administration modalities and anti-cancer efficacies of newly-developed PDT and PACT compounds, and test a light-triggered liposomal…
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From data to models: reducing uncertainty in benefit risk assessment: application to chronic iron overload in children
Promotor: Prof.dr. M. Danhof, Co-promotor: O.E. Della Pasqua
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Lipid model membrane systems as a tool for unraveling the underlying factors for skin barrier dysfunction
Barrier function is the natural role of the skin. The lipid matrix present in the outermost layer of the skin, the stratum corneum is important for this function.
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Learning-based Representations of High-dimensional CAE Models for Automotive Design Optimization
In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…
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Impact assessment modelling of matter-less stressors in the context of Life Cycle Assessment
Promotoren: Prof.dr. G.R. de Snoo en Dr. R. Heijungs
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A New Model of Global Governance in International Tax Law Making (GLOBTAXGOV)
Dr. Irma Mosquera Valderrama onderzoekt in haar ERC-project de rol van de OESO (Organisatie voor Economische Samenwerking en Ontwikkeling) en de EU bij de totstandkoming van internationale fiscale wetgeving en streeft ernaar voorwaarden te scheppen waaronder zowel ontwikkelde landen als ontwikkelingslanden…
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signaling mechanisms underlying inflammation and infection control: insights from the zebrafish model
This thesis focuses on the role of chemokine receptors CXCR3 and CCR2 in the inflammatory process and infection control using the zebrafish model.
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Beyond the Born-Oppenheimer Static Surface Model for Molecule- Surface Reactions
Several techniques are explored for going beyond the born-oppenheimer static surface model for molecule-surface reactions.
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Discovering the preference hypervolume: an interactive model for real world computational co-creativity
In this thesis it is posed that the central object of preference discovery is a co-creative process in which the Other can be represented by a machine. It explores efficient methods to enhance introverted intuition using extraverted intuition's communication lines.