Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek

We explored how to morphologically classify well-resolved jetted radio-loud active galactic nuclei (RLAGN) in the LOw Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) using machine learning.

Het onderzoek van dit programma is gecentreerd rond dynamische systemen, functionele analyse en hun interactie.

The research of the Applied Mathematics cluster is concerned with such diverse topics as dynamical systems, representation theory, differential equations and pattern recognition.

Overlevingsanalyse is een onderzoeksgebied dat zich richt op het bestuderen van de tijd tot het optreden van een specifieke uitkomst.

This thesis is based on five papers on several topics.

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

De masteropleiding Cultural Analysis: Literature and Theory van de Universiteit Leiden richt zich op de studie van literatuur vanuit een vergelijkend en theoretisch perspectief, en onderzoekt de literatuur van een breed spectrum van talen en culturen uit de hele wereld.

This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.

Promotor: Prof.dr. E. Deprettere

Promotor: Prof.dr. B. van de Water

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.

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).

Promotores: T.H.W. Bäck, A. Plaat, Co-promotor: F.J. Verbeek

The chemical and structural heterogeneity of toxoid vaccines makes their analysis challenging. However, detailed insights on a molecular level can be obtained by mass spectrometry.

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.

We have studied shape with a particular focus on the zebrafish model system. The shape is an essential appearance of the phenotype of a biological specimen and it can be used to read out a current state or response or to study gene expression.

This thesis addresses the challenge of sustainable urban development by analyzing the interplay between green and grey infrastructure to optimize resource use and ecosystem services.

Promotors: W. Jiskoot; G.J. Witkamp, Co-promotor: M.R. Nejadnik

D1.2 reports on the findings of an analysis of framework conditions relevant in the context of the data economy from a legal, a socio-economic and a technological perspective. The analysis is a key foundation for the creation of an initial, heuristic model of the European data economy. The deliverable…

D2.2 comprises the in-depth legal analysis of the initial heuristic model, focused on addressing, in more detail, the main legal concerns for data reusers in the European data economy. This detailed analysis of the legal propositions presented in D2.1 is supplemented by an analysis of the technological,…

Promotor: S.M. Verduyn Lunel

Molecular complexes can be used as electrocatalysts for oxygen reduction, water oxidation, and/or hydrogen peroxide production.

Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.

Promotores: W.T. de Groot, M. Tchuenté, Co-promotor: J.P. Cheylan

Een infrastructuur voor onderzoeksdata in computationele sociale wetenschappen

This thesis focuses on addressing four research problems in designing embedded streaming systems.

Promotor: P.J.J. Hooykaas, Co-Promotores: P.B.F. Ouwerkerk, M. Wang

With the emergence of online social networks (OSNs), the way people create and share information has changed, which becomes faster and broader than traditional social media.

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

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.

Business Process Model and Notation (BPMN) has become the standard for business processes diagrams.

Promotores: Arjen Doelman, Jens Rademacher, Max Rietkerk

Onderzoeken hoe gegevens afkomstig van draagbare technologieën kunnen worden gebruikt om effectieve gedragsveranderingen te identificeren die hopelijk zullen leiden tot gezondheidsverbeteringen.

Supervisor: P.J.J. Hooykaas

Transport inspectorates are looking for novel methods to identify dangerous behavior, ultimately to reduce risks associated to the movements of people and goods. We explore a data-driven approach to arrive at smart inspections of vehicles.

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.

Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe

Promotores: Prof.dr. G.A. Persoon & Prof. dr. H.H. de Iongh

Hoe moet de EU omgaan met Oekraïne, Wit-Rusland en Moldavië? Hoe kunnen we de Europese Unie helpen om, in een uiterst moeilijke en veeleisende geopolitieke context, zijn politiek ten aanzien van deze landen te heroverwegen?

Promotores: Prof.dr. H.P. Spaink & Prof.dr. P.C.W. Hogendoorn Co-promotor: Dr. M.J.M. Schaaf

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

In dit artikel wordt onderzocht hoe educatieve risicocommunicatie de openbare veiligheid kan ondersteunen tijdens nucleaire noodsituaties.

Dit artikel beoordeelt de Russische retoriek ten aanzien van Oekraïne door verklaringen van het Russische ministerie van Buitenlandse Zaken te analyseren.

This study seeks to analyse how job stress could be the result of performing administrative tasks

Streptomyces present a valuable platform for natural product discovery. Lugdunomycin is a novel angucycline-derived polyketide from Streptomyces sp QL37, with unprecedented skeleton and antimicrobial activity.

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Streptomyces bacteria are a valuable source of natural products, many of which are used in the clinic or in biotechnology.

Fokelien Kootstra verdedigde haar proefschrift op 23 april 2019

Promotor: Prof.dr. R. Verpoorte, Co-Promotor: Dr. Young Hae Choi