In this work, I explore the creation of new methods that optimize simulations of the gravitational N-body problem. Specifically, I take advantage of the recent popularity of Machine Learning methods to find tools that can suit this problem.

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

In this thesis, rational points on K3 surfaces are studied. In the first part of Chapter 1 the Brauer group and the the Brauer-Manin obstruction are introduced.

De bibliotheek van het Papyrologisch Instituut is de meest volledige faciliteit op het gebied van de papyrologie in Nederland.

Dit interdisciplinair onderzoeksproject verkent verschillende adaptieve machine-learning methoden die inzicht kunnen geven in de interactie tussen mens en machine. Het uiteindelijke doel is een open en natuurlijke communicatie tussen mens en AI die moet resulteren in wederzijds vertrouwen, samenwerking…

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

Interactive exploration of large volumes of data is increasingly common, as data scientists attempt to extract interesting information from large opaque data sets. This scenario presents a difficult challenge for traditional database systems, as (1) nothing is known about the query workload in advance,…

The following report discusses a survey on the topic of the Sustainable Development Goals that was distributed among researchers at Leiden University in the month of November 2021.

Drug induced organ toxicity is the main problem of the drug development and drug usage in the clinic. The liver and kidneys are the most sensitive organs towards drug induced toxicity.

Promotor: J.A. van Veen, Co-promotor: E.E. Kuramae

Promotor: S.M. Verduyn Lunel, Co-promotor: S.C. Hille

With the help of quantum mechanics, digital quantum hardware may be able to tackle some of the problems that are too difficult for ordinary computers. But despite these expectations and the ongoing effort of the research community, reliable quantum computers are not yet realized in a lab setting.

This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.

Promotor: Prof.dr. F.S. de Boer, Co-promotor: D. Clarke

Acute cardiovascular syndromes, including myocardial infarction or stroke, are the principal cause of death in the Western society. The main underlying pathology of cardiovascular diseases is atherosclerosis, which is caused by the accumulation of lipids and inflammatory cells in the vessel wall, in…

Is een carrière als notaris iets voor jou? Haal dan het beste uit jezelf, met de master Notarieel recht in Leiden: wetenschappelijk, persoonlijk onderwijs van betrokken docenten, in een kleinschalige setting.

In this thesis we will explore the use of fuzzy systems theory for applications in bioinformatics.

Climate change is one of the largest challenges faced by humanity. To combat this research into alternatives to fossil fuels is ongoing. Dihydrogen is considered a good alternative fuel, since its burning only forms water.

This thesis mainly extends the theory of positive operators on Riesz spaces to a setting of pre-Riesz spaces.

Prof.dr. J. Memelink

Chemical-induced organ toxicity is a major concern in the development and use of chemicals, including drugs, pesticides, industrial chemicals and cosmetics. In the last decades, the onset and progression of chemical-induced organ toxicity has been linked amongst others to perturbation of mitochondri…

Open gesprekken voeren over diversiteit en inclusie is een belangrijke eerste stap op weg naar verandering. Toch kunnen zulke gesprekken emotioneel en kwetsbaar zijn, en soms ongemakkelijk om te initiëren. Het 'What’s your story?' kaartspel heeft tot doel deelnemers in staat te stellen verhalen uit…

The research in this thesis is focused on tomographic reconstruction based on two imaging modalities in electron microscopy.

Modeling and analysis of cyber-physical systems are still challenging. One reason is that cyber-physical systems involve many different parts (cyber or physical), of different nature (discrete or continuous), and in constant interaction via sensing and actuating.

Songbirds as vocal learners learn their songs and song preference from social tutors⁠. Tutor choice for both song and preference learning are important to characterize for understanding individual learning performance and cultural transmission of song⁠.

Samen wonen in een residentiële setting voegt een extra dimensie toe aan dit leren, omdat onze studenten moeten leren samen te leven met anderen die mogelijk niet dezelfde dagelijkse routines of normen delen.

Viral hemorrhagic fever (VHF) is a group of acute diseases caused by highly infectious viruses including Ebola, Lassa, Dengue viruses. Its high mortality rate poses high risk to public health, however, studies on VHF have been hampered due to the non-availability of proper models and incomplete knowledge…

Studenten leren hoe ze duidelijk medicijnadvies aan patiënten kunnen geven.

Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.

Glycosidases are essential in fundamental biological processes and are responsible for the degradation of most (oligo)saccharides, glycolipids and glycoproteins.

Vitamin A or retinol is essential in embryonic development, the visual cycle and the immune system.

Organic molecules in interstellar space are important as they influence the structure of galaxies and star formations. Studying catalytic processes in space allows us to understand how molecular species are formed and chemically evolved in the interstellar medium and solar system objects.

This PhD thesis concerns the topic of arithmetic geometry. We address three different questions and each of the questions in some way is about counting how big some set is or can be.

Mining time series is a machine learning subfield that focuses on a particular data structure, where variables are measured over (short or long) periods of time.

Galaxies are environments where gas coalesces, cools, and is converted into stars. However, it remains unclear the exact mechanisms through which galaxies acquire, redistribute and lose their gas.

Promotores: K.J. Batenburg, B. Koren

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

Promotor: Prof.dr. P. Stevenhagen

Optimization tasks in practice have multifaceted challenges as they are often black box, subject to multiple equality and inequality constraints and expensive to evaluate.

Promotor: Johan Kuiper, Co-promotor: Saskia C.A. de Jager

Promotor: F.H.J. Redig, Co-Promotor: W.T.F. den Hollander

Jaarlijks organiseert het Alumnibureau van de Universiteit Leiden een aantal masterclasses. Deze masterclasses zijn exclusief toegankelijk voor Leidse alumni.

Promotor: Prof.dr. T. Hankemeier

Woorden kunnen, afhankelijk van wie ze waar en wanneer gebruikt, erg veel verschillende betekenissen hebben of zelfs het tegenovergestelde van hun woordenboekbetekenissen uitdrukken.

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: J.N. Kok, H.J. Hoogeboom

Promotor: Jaap Brouwer, Co-promotor: Remus Th. Dame

The goal of the research presented in this thesis was to explore the chemical space of ruthenium(II) photocages, investigate their ability to host potent chemotherapy drugs, and to red shift the activation wavelength of the most promising PACT candidates to conduct biological studies.