1,177 zoekresultaten voor “geavanceerde methods van gedragsonderzoek” in de Publieke website
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Resolving a bioindicator diatom species complex using genomic approaches for freshwater biomonitoring
This thesis pioneers diatom molecular identification and quantification through genome-scale methods, with four key aims: (i) reviewing DNA/RNA sequencing methods in aquatic biomonitoring to highlight their strengths and limitations;
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ReCiPe
The ReCiPe methodology for Life Cycle Impact Assessment (LCIA).
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Biophysical characterization of membrane protein-small molecule interactions
Promotor: Prof.dr. M. Ubbink
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Algebraic filters for filtered backprojection
Promotor: K.J. Batenburg, Co-promotor: A.W. van der Vaart, B. de Smit
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Guiding evolutionary search towards innovative solutions
Promotors: Prof.dr. T.H.W. Bäck, Prof.dr. B. Sendhoff (Technische Universität Darmstadt)
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Reasoning about object-oriented programs: from classes to interfaces
Throughout the history of computer science, a major challenge has been how to assert that software is free of bugs and works as intended. Software bugs can lead to serious negative impacts on any software system. Throughout the main body of the thesis, we implemented a series of studies on exploring…
- ELS lab meeting - Methodology Session with Loran Kostense & Lisa van Roermund
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Novel Protecting Group Strategies in the Synthesis of Oligosaccharides
The thesis focuses on synthesis strategies in oligosaccharide campaigns, and the influence of protecting groups.
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Activity-based proteomics of the endocannabinoid system
This thesis describes the use of an activity-based proteomics method to study the endocannabinoid system.
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Counting curves and their rational points
n this thesis we study curves. In the first half, we study moduli spaces of curves and Gromov-Witten invariants, certain kinds of curves counts. We employ logarithmic geometry for this.
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Simulating the birth environment of circumstellar discs
Circumstellar discs are the reservoirs of gas and dust that surround young stars and have the potential to become planetary systems.
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Searching by Learning: Exploring Artificial General Intelligence on Small Board Games by Deep Reinforcement Learning
In deep reinforcement learning, searching and learning techniques are two important components. They can be used independently and in combination to deal with different problems in AI, and have achieved impressive results in game playing and robotics. These results have inspired research into artificial…
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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.
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Expansions of quantum group invariants
In my research, we developed a method to distinguish knots. A knot is a mathematical depiction of the everyday knot that occurs in ropes and cords.
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Highly Accurate Simulations and Benchmarking of Molecule-Surface Reactions
Heterogeneous catalyzed processes are highly significant to the chemical industry. Dissociative chemisorption (DC) of molecules on surfaces is always considered as a step with a high degree of rate control for heterogeneous catalysis.
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Klinische technologie (BSc)
Geavanceerde scans en op maat 3D-geprinte kunstorganen. Medische technologie is niet meer weg te denken uit de zorg. Deze innovatieve behandelmethoden vragen echter om een nieuw soort medisch professional. Iemand met medische én technische kennis, die de brug slaat tussen de techniek en de patiënt.
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Applications of quantum annealing in combinatorial optimization
Quantum annealing belongs to a family of quantum optimization algorithms designed to solve combinatorial optimization problems using programmable quantum hardware. In this thesis, various methods are developed and tested to understand how to formulate combinatorial optimization problems for quantum…
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NMR structural studies of protein-small molecule interactions
Promotor: Prof.dr. M. Ubbink, Co-promotor: G. Siegal
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Single-electrolyte isotachophoresis: on-chip analyte focusing and separation
Promotor: Thomas Hankemeier, Co-promotores: Heiko van der Linden, Paul Vulto
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Origami metamaterials : design, symmetries, and combinatorics
In the first part of this thesis we study the geometry of folding patterns.
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Engagement of citizens and public professionals in the co-production of public services
The idea of citizens and public professionals collaborating to provide public services has widely spread in several countries around the globe. Co-production is often presented as the go-to solution for challenges like a legitimacy crisis of both the government and the market, and financial concerns.…
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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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Better Predictions when Models are Wrong or Underspecified
Promotor: P.D. Grünwald
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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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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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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,