This dissertation explores how we can make anomaly detection—identifying unusual or faulty behavior in complex systems—more trustworthy and effective, with a focus on smart manufacturing.

Het Centre for Professional Learning (CPL) is sinds 1999 hét expertisecentrum van de Universiteit Leiden in Den Haag voor leren en ontwikkelen in het publieke domein.

Verbinden van wetenschap en praktijk: opleidingen die jouw leiderschap en impact versterken.

Het centrale doel van dit proefschrift is inzicht verschaffen in hoe de implementatie van een peer educator-interventie van invloed kan zijn op de houding van leerlingen tegenover LHBT-leeftijdgenoten en op de relatie tussen deze houdingen en reflectie over burgerschap.

De auteur onderzocht waarom bureaucraten vluchtelingen integreren in welzijnsvoorzieningen, zelfs als ze daartoe geen wettelijke verplichting hebben.

De incubatietijd (van infectie tot de eerste symptomen) en latente periode (van infectie tot de start van besmettelijkheid) zijn cruciaal voor het informeren van controle maatregelen aan het begin van een infectieziektenuitbraak. Een voorbeeld is de duur van quarantaine voor potentieel geïnfecteerden,…

De LUCDH financiert de ontwikkeling van onderzoeksactiviteiten, kennis en vaardigheden op het gebied van digitale geesteswetenschappen en AI via een programma voor kleine subsidies.

The thesis describes the development, synthesis and biological evaluation of several proteasome inhibitor designs. Mainly, this work focusses on designing proteasome inhibitors that selectively inhibit the immunoproteasome, while leaving the constitutive proteasome mostly, if not completely, untouch…

Dit boek combineert inzichten uit de regelgevingstheorie, het recht en de computerwetenschappen en onderzoekt oplossingen voor beleid en digitale handhaving die de consumentenbescherming in de EU tegen dark patterns zouden kunnen versterken – een beleidsprioriteit van de afgelopen jaren en de nabije…

Dit proefschrift gaat over theoretische oppervlakte chemie binnen het veld van de heterogene katalyse.

In this thesis, we show how MRFM can usefully contribute to the field of condensed-matter.

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.

Promotores: B. Erez, P. Stevenhagen, Co-Promotor: B. de Smit

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Op 17 november 2021 verdedigde Cyril-Igor Grigorieff het proefschrift 'The Regime for International Air Carrier Liability'. Het promotieonderzoek is begeleid door prof.dr. P. Mendes de Leon en prof.dr. V. Correia (University Paris Saclay).

Promotor: S.J. Edixhoven, Co-promotor: K.J. Batenburg

This thesis discusses the physical and chemical processes than influence the composition of forming planets.

Promotores: Wim Jiskoot; Ferry Ossendorp

The prevalence of obesity (BMI >40 kg/m2) has increased rapidly over the recent years, not only in adults, but also in children and adolescents.

Prematurely born neonates require, amongst others, pharmaceutical therapy. Dosing guidelines for these therapies are often based on data from term born neonates or older infants, while these are not necessarily similar to prematurely born neonates.

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Heart failure is a major health care problem with high mortality.

Nanodiscs are small, disc-shaped structures designed to mimic biological cell membranes, composed of a lipid bilayer stabilized by scaffold proteins. Membrane proteins play crucial roles in essential processes such as nutrient and waste transport, molecular recognition, and cell signalling, making them…

The thesis is part of a bigger project, the HEPGAME (High Energy Physics Game). The main objective for HEPGAME is the utilization of AI solutions, particularly by using MCTS for simplification of HEP calculations.

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This thesis surveys the intersection of computed tomography (CT) and machine learning (ML), treating CT as an ill-posed inverse problem shaped by object properties, imaging physics, and data limitations.

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

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

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.

The growing demand of energy indicates that global energy resources in the form of fossil fuels will not be sufficient in the future. In order to solve potential future energy problems development of a sustainable hydrogen economy is highly desirable.

The major and ultimate aim of metabolomics is to obtain an answer to a specific biological or clinical question.

What is the optimal design of sandy solutions for sustainable climate change adaption, from an ecological, biophysical and societal point of view?

Promotor: H.J. van den Herik, B.R. Katzy, Co-promotor: K. Sailer

This thesis investigates how quantum, quantum-inspired, and hybrid quantum-classical computation can enhance key points of the automated machine learning (AutoML) pipeline under the constraints of noisy intermediate-scale quantum (NISQ) devices.

The spindle-assembly checkpoint (SAC) is a safety mechanism which secures accurate chromosome segregation during mitosis.

There is an urgent need for more physiologically relevant cell culture methods to guide compound selection in pre-clinical stages of the drug development pipeline.

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

Promotores: Prof.dr. B.R. Katzy, Prof.dr. K. Sailer (Munich University)

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

Radiography is an important technique to inspect objects, with applications in airports and hospitals. X-ray imaging is also essential in industry, for instance in food safety checks for the presence of foreign objects.

In the emerging field of small-molecule RNA targeting, there is a growing demand for new high-throughput screening methods.

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