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.

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.

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…

Promotie

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.

Lezing

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…

Promotor: Prof.dr. M. Ubbink, Co-promotor: G. Siegal

Promotor: Thomas Hankemeier, Co-promotores: Heiko van der Linden, Paul Vulto

In the first part of this thesis we study the geometry of folding patterns.

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.…

The field of exoplanet research is rapidly advancing through the development of new technology, observing techniques, and post-processing methods.

Promotor: P.D. Grünwald

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).

This thesis provides an overview of the development of the Pair Configuration to Molecular Activity Coefficient (PAC-MAC) model.

Promotor: W.Th.F. den Hollander Co-Promotor: F.M. Spieksma

We study the interplay of topology and geometry with chirality for several passive and active systems, employing both analytical and numerical methods.

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…

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.

Promotor: R. Verpoorte, Co-promotores: Y.H.Choi, N.R. Mustafa

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.

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.

Promotor: J.N. Kok, P.E. Slagboom Co-promotor: J.F.J. Laros

Building a Deep Cross-media Transfer Network to extract visual relations that relieve the problem of insufficient training data for visual tasks.

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.

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.

African oral literatures, new media and technologies: challenges for research and documentation

Congres/symposium

Onderzoekers van meer dan 30 landen namen deel in het Europese onderzoeksnetwerk E-READ om de veranderingen in het lezen door digitalisering te bestuderen. Adriaan van der Weel, universitair hoofddocent, sprak over het succes van het netwerk met de Duitse krant Frankfurter Allgemeine Zeitung.

Wist je dat je na succesvolle afronding van de minor Boek, boekhandel en uitgeverij de aansluitende masteropleiding kunt volgen? Lees hier meer over de specialisatie Book and Digital Media Studies van de masteropleiding Media Studies (MA).

Promotie

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.

Promotores: Prof.dr. G.F.A Kersten, Prof dr. J.A. Bouwstra

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…

This thesis covers several aspects of quantum algorithms for near-term quantum computers and its applications to quantum chemistry and material science.

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.

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.

The main theme of this thesis is the theoretical study of Gaussian processes as a tool in Bayesian nonparametric statistics.

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.

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.

This thesis has described novel synthetic methods to produce a variety of (glyco)peptides and their application in the study of various immunological processes.

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.