685 zoekresultaten voor “mixed methods” in de Publieke website
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Pair configurations to molecular activity coefficients: PAC-MAC
This thesis provides an overview of the development of the Pair Configuration to Molecular Activity Coefficient (PAC-MAC) model.
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Steady-State Analysis of Large Scale Systems
Promotor: W.Th.F. den Hollander Co-Promotor: F.M. Spieksma
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Topology and Geometry in Chiral Liquids
We study the interplay of topology and geometry with chirality for several passive and active systems, employing both analytical and numerical methods.
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Principles of Environmental Sciences
Principles of Environmental Sciences provides a comprehensive picture of the principles, concepts and methods that are applicable to problems originating from the interaction between the living and non-living environment and mankind. Both the analysis of such problems and the way solutions to environmental…
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Modelling the interactions of advanced micro- and nanoparticles with novel entities
Novel entities may pose risks to humans and the environment. The small particle size and relatively large surface area of micro- and nanoparticles (MNPs) make them capable of adsorbing other novel entities, leading to the formation of aggregated contamination.
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Metabolomic characteristics of Catharanthus roseus plants in time and space
Promotor: R. Verpoorte, Co-promotores: Y.H.Choi, N.R. Mustafa
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Data-driven Predictive Maintenance and Time-Series Applications
Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.
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Exploring Deep Learning for Intelligent Image Retrieval
This thesis mainly focuses on cross-modal retrieval and single-modal image retrieval via deep learning methods, i.e. by using deep convolutional neural networks.
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Algorithms for the description of molecular sequences
Promotor: J.N. Kok, P.E. Slagboom Co-promotor: J.F.J. Laros
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Visual Relation extraction Based on Deep Cross-media Transfer Network
Building a Deep Cross-media Transfer Network to extract visual relations that relieve the problem of insufficient training data for visual tasks.
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Tangent fermions: massless fermions on a lattice
In some condensed matter systems, such as the surface of a 3D topological insulator, the electrons are effectively massless and we must necessarily use the massless Dirac equation to describe them.
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Motivic invariants of character stacks
This thesis studies the geometry of representation varieties and character stacks. These are spaces parametrizing the representations of a finitely generated group, typically the fundamental group of a compact manifold, into an algebraic group G.
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Evidence Synthesis Methods for Continuous Outcomes
Promotie
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Exploring deep learning for multimodal understanding
This thesis mainly focuses on multimodal understanding and Visual Question Answering (VQA) via deep learning methods. For technical contributions, this thesis first focuses on improving multimodal fusion schemes via multi-stage vision-language interactions.
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Replacing the needle and syringe for vaccine administration
Promotores: Prof.dr. G.F.A Kersten, Prof dr. J.A. Bouwstra
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Computational aspects of class group actions and applications to post-quantum cryptography
Most of current public-key cryptography is considered insecure against attacks from sufficiently powerful quantum computers. Post-quantum cryptography studies methods to secure information resistant against such attacks. One proposal is isogeny-based cryptography, which bases its security on computational…
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Optimization of quantum algorithms for near-term quantum computers
This thesis covers several aspects of quantum algorithms for near-term quantum computers and its applications to quantum chemistry and material science.
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Observing what cannot be observed: computational electrochemistry from carbon to hydrogen
In this thesis, we consider various (electro)chemical phenomena at surfaces and nanoparticles and their underlying atomistic processes, which we studied using first-principles methods such as density functional theory.
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Liposomes as delivery system for allergen-specific immunotherapy
In this book liposomes are explored as delivery system for allergen-specific immunotherapy. Both cationic and anionic formulations are prepared with Bet v 1, one of the allergens in birch pollen.
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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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Reliable and Fair Machine Learning for Risk Assessment
The focus of this thesis is on the technical methods which help promote the movement towards Trustworthy AI, specifically within the Inspectorate of the Netherlands.
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Assessing global regionalized impacts of eutrophication on freshwater fish biodiversity
Freshwater biodiversity has been threatened by eutrophication due to excessive nutrients in the environment. Releasing the freshwater species from such pressures requires efforts from industry and manufacturers to avoid emissions to vulnerable and high-risk regions.
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Synthetic peptides as tools in chemical immunology
This thesis has described novel synthetic methods to produce a variety of (glyco)peptides and their application in the study of various immunological processes.
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Aspects of the analysis of cell imagery: from shape to understanding
In this thesis, we have studied cell images from two types of cells, including pollen grains and the immune cells, neutrophils. These images are captured using a bright field microscope and a confocal microscope.
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The formation of complex organic molecules in dense clouds-Sweet results from laboratory
Large areas of space are filled by molecular clouds that consist of gas and dust grains that are the remnants of dead stars. When these clouds start collapsing, the decreasing temperature and increasing density cause gas particles to start accreting onto dust grain surfaces.
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On metrics and models for multiplex networks
In this thesis, we extend the concept of null models as canonical ensembles of multi-graphs with given constraints and present new metrics able to characterize real-world layered systems based on their correlation patterns.
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Empirical signatures of universality, hierarchy and clustering in culture
In this thesis,
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Deepening the uncertainty dimension of environmental Life Cycle Assessment: addressing choice, future and interpretation uncertainties.
LCA has become an important method to study environmental impacts of human activities. Still, there are several methodological issues in LCA that can adversely affect the results reliability.
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Novel analytical approaches to characterize particles in biopharmaceuticals
Particles are omnipresent in biopharmaceutical products. In protein-based therapeutics such particles are generally associated with impurities, either derived from the drug product itself (e.g. protein aggregates), or from extrinsic contaminations (e.g. cellulose fibers).
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Reinout Heijungs
Wiskunde en Natuurwetenschappen
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Programmerende socioloog John Boy ontwikkelt Textnets: software om grote hoeveelheden tekst visueel inzichtelijk te maken
Software programmeren is waarschijnlijk niet het eerste waar je aan denkt bij een socioloog. Drie jaar geleden begon John Boy aan de ontwikkeling van zijn software programma Textnets. Corona zorgde ervoor dat hij zich minder goed kon concentreren op het schrijven van wetenschappelijke onderzoek en ook…
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Pesticides and health – challenges and opportunities for exposure assessment
The aim is to develop methods to assess environmental and occupational exposure to (individual) pesticides, to be applied in epidemiological studies investigating pesticide exposure and human health. Furthermore, we aim to investigate the potential association between exposure to pesticides and Parkinson’s…
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CML-IA Characterisation Factors
CML-IA is a database that contains characterisation factors for life cycle impact assessment (LCIA) and is easily read by the CMLCA software program.
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Development of an Adverse Outcome Pathway (AOP) for metallic nanoparticles
What is the mechanism of action preceding a physiological effects induced by metallic nanoparticles?
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Computer Science
Computational thinking, programming, and algorithms form the basic of many of the things that are shaping our world, the way we work, interact, organize ourselves, and even spend our free time with social networks, streaming media, and games. And this transformation is far from being complete, it is…
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Multi-Objective Bayesian Global Optimization for Continuous Problems and Applications
A common method to solve expensive function evaluation problem is using Bayesian Global Optimization, instead of Evolutionary Algorithms.
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Quantitative live cell imaging of glucocorticoid receptor dynamics in the nucleus
In this thesis, the focus lies on studying glucocorticoid receptor dynamics in living cells with the aim of understanding how this transcription factor finds its DNA target sites to regulate transcription.
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High-throughput profiling of small molecules using mass spectrometry
Promotor: Prof.dr. T. Hankemeier
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Expanding the coverage of ecosystem services in life cycle assessment: an interdisciplinary venture
To contribute to the body of knowledge aiming at a better coverage of ecosystem service assessment in LCA studies, this thesis dives into the challenges of incorporating existing ecosystem service methods within the impact assessment phase of the conventional LCA framework.
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Tracing the journey of the sun and the solar siblings through the Milky Way
Supervisor: S.F. Portegies Zwart Co-Supervisor: A.G.A. Brown
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Analytical chemistry and biochemistry of glycosphingolipids: new developments and insights
Advanced mass spectrometry of glycosphingolipids takes the central stage in this thesis. Investigations focus on characterization of glycosphingolipid metabolism in health and disease with emphasis to the detection and accurate quantitation of known and so far unknown glycosphingolipids and closely…
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Credible sets in nonparametric regression
Promotor: Prof.dr. A.W. van der Vaart
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Geometric quadratic Chabauty and other topics in number theory
This thesis is is made of three parts. The first part describes a generalization of the Chabauty's method, that can be used to determine the rational points of a curve such that s+g>r+1, where g is the genusof the curve, r is the rank of the Mordell-Weil group of the jacobian of the curve and s is…
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Lipid signaling and inflammation: metabolomics for better diagnosis and treatment strategy
Lipid signaling is an essential biological event/process in a plethora of pathophysiological conditions. The underlying idea of this thesis is that many of the roles and the complex interplay of the individual signaling lipids in inflammatory processes and related conditions in health and disease is…
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Enhanced coinduction
Promotores: Prof.dr. F.S. de Boer, Prof.dr. J.J.M.M. Rutten (Radboud Universiteit Nijmegen)
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The power of one qubit in quantum simulation algorithms
Quantum computing is an emerging technology, which holds the potential to simulate complex quantum systems beyond the reach of classical numerical methods.Despite recent formidable advancements in quantum hardware, constructing a quantum computer capable of performing useful calculations remains challenging.In…
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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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Towards Optical Detection of a Single Electron
Single-molecule spectroscopy has become a powerful method for using organic fluorescent molecules in numerous applications.
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The rebound effect through industrial ecology’s eyes : the case of transport eco-innovation
Promotor: Prof. dr. Arnold Tukker & Prof. dr. René Kemp (Maastricht University)
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Development of personalized health monitoring using ultra-weak photon emission based on systems medicine concepts
Promotor: Jan van der Greef; Co-promotors: Mei Wang; Eduard van Wijk