Constraint multi-objective optimization with a limited budget for function evaluations is challenging. This thesis tackles this problem by proposing new optimization algorithms. These algorithms are applied on holistic ship design problems. This helps naval architects balance objectives like cost, efficiency,…

Cancer is considered the silent pandemic of the 21st century and the second leading cause of death worldwide.

Neurodegenerative diseases, including Parkinson’s disease (PD), are increasing in prevalence due to the aging population. Despite extensive study, these diseases are still not fully understood and the lack of personalised treatment options that can target the cause of the diseases, rather than the symptoms,…

Promotor: W. Jiskoot, Co-promotor: H.A. Every

Promotor: K.J. Batenburg

Promotor: H.P. Spaink, Co-Promotor: A.H. Meijer

This thesis discusses several questions regarding the double ramification cycle as a Chow class on the moduli space of stable n-pointed genus g curves using tools from so-called logarithmic geometry.

The four possible segments A, T, C and G that link together to form DNA molecules, and with their ordering encode genetic information, are not only different in name, but also in their physical and chemical properties.

The research presented in this thesis makes use of small molecules (as H2 , D2 and O2 ) on well-defined single crystal surfaces (flat Pt(111), flat Cu(211) and curved Pt(111)) to elucidate the role of surface structure and degrees of freedom in the reactant in specific surface reactions.

Promotor: Jan van der Greef; Co-promotors: Mei Wang; Eduard van Wijk

Promotor: Prof.dr. J. Kuiper

Promotor: Prof.dr. M. Ubbink

Promotores: Prof.dr. G. Miley & Prof.dr. J.M. van den Broek

This dissertation investigates the energy and material related impacts of the transition towards a low-carbon heating system in the Netherlands, in the context of its 2050 climate and circular economy policy goals.

Promotor: J.M. van Ruitenbeek, Co-Promotor: S.J. van der Molen

Innovation plays an essential role in firms' competitiveness and long-term success. It varies from different types, ranging from run-of-the-mill innovation that brings incremental changes to existing technologies to radical innovation that breaks from existing trajectories.

Antibiotic resistance, caused by widespread use of antibiotics, leads to bacterial infections that are difficult, if not impossible, to treat and is a major worldwide health concern.

Promotor: Prof.dr. A. P. IJzerman, Co-Promotor: L.H. Heitman

This proposed research uses ego-documents from visual artists that were not intended for publication to reassess the scholarly debate on the demise of the Russian Avant-garde aesthetic in the twenties and early thirties of the 20th century.

Promotor: A. Kros

The work done during this PhD research, aims to investigate the effect of tidal heatingin the observability of extra-solar satellites around exoplanets.

Classical statistical methods, such as p-values, are difficult for researchers to apply correctly. They for example do not allow drawing conclusions from a study early, or for extending a study with extra research groups that want to make their data available later.

Promotores: P. Stevenhagen, A. Enge Co-Promotor: T.C. Streng

The aim of the research presented in this thesis was to develop new methods forchallenging systems in liquid-state NMR using paramagnetic effects generated by thetwo-armed probe CLaNP-5.

Promotor: B.van de Water, Co-promotor: L.S.Price

In this PhD-thesis several new and existing data science application are described that are particularly focused on applications for tax administrations.

In my research, I used a comparative wood anatomical approach to address wood evolution of the (largely) tropical flowering plant families Apocynaceae and Sapotaceae.

This thesis investigates the application of deep learning techniques in image analysis across various domains, focusing on four main themes: feature extraction, classification, segmentation, and integration, demonstrating the transformative potential of these technologies.

Science is typically a patchwork of research contributions without much coordination. Especially in clinical trials, the follow-up studies that we do fail to be the most promising.

This thesis describes the development and validation of new high-contrast imaging techniques, with the ultimate goal of enabling the next generation of instruments for ELT-class telescopes to directly image Earth-like extra-solar planets orbiting around nearby stars.

Promotor: M.T.M. Koper, Co-promotor: J.B.F. Juurlink

Promotor: R. Gill, Co-promotor: P. Massart

Glycosidases (GHs) are enzymes responsible for the degradation of carbohydrates and play many roles in human health and pathophysiology. Often, abnormal levels of glycosidase activity are markedly linked to human pathologies.

Promotor: Prof.dr. A. Achucarro

A common method to solve expensive function evaluation problem is using Bayesian Global Optimization, instead of Evolutionary Algorithms.

Animal diet studies are critical for understanding ecological processes such as trophic interactions, energy flow, and nutrient cycling. By examining what animals consume, ecologists gain insights into species specialization, predator-prey relationships, and ecosystem management.

Sustainable energy from wind and solar is most readily available near the sea.

A key step in the synthesis of oligosaccharides and glycoconjugates is the formation of the glycosidic bond.

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.

Promotor: G.P. van Wezel, Co-promotor: D. Claessen

The different kinds of cultural perspectives on health and disease of the participants are related to their knowledge, beliefs, values and practices manifested in various forms of lifestyle in Indonesia. The cultural diversity of the population is also related to differences in health behaviour.

Promotor: H.W. Lenstra

One of the main challenges in the development of an effective anti-cancer vaccine is the generation of an adequate and directed cellular immune response.

Streptomyces are bacteria abundant in soil that participate in diverse and complex interactions. These bacteria are the main producers of the antibiotics we currently use in the clinic.

Promotor: Prof.dr. S. Portegies Zwart

Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…

Promotor: M.L. van Hecke

This thesis tackles the difficulty of predicting the liver’s clinical response to novel therapies, a challenge arising from interspecies differences and limitations of existing in vitro models.

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

What physics controls the properties of quantum matter, such as how electrons flow inside high-temperature superconductors? This question has captivated the physics community and industry for decades, in part due to the great technological potential such materials have, but also because they have resisted…