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

Lezing

Explaining treatment response variability between and within patients can support treatment and dosing optimization, to improve treatment of individual patients.

Promotor: Prof.dr. M. Danhof, Co-promotor: O.E. Della Pasqua

The class-imbalance problem is a challenging classification task and is frequently encountered in real-world applications. Various techniques have been developed to improve the imbalanced classification performance theoretically and practically.

The intracluster medium (ICM) is a hot, tenuous and X-ray emitting gas that pervades galaxy clusters.

Patterned detectors are an existing technology that can be found in almost all color cameras.

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…

Workshop

Workshop

The work presented in this thesis is based on ALMA surveys of protoplanetary disks in three star-forming regions: Lupus, OMC-2, and NGC 2024.

For optimization problems, it is often unclear how to choose the most appropriate optimization algorithm. As such, rigorous benchmarking practices are critical to ensure we can gain as much insight into the strengths and weaknesses of these types of algorithms.

Promotor: K.E. Schalm, Co-promotor: S.S. Lee

Kunst en vrije tijd, Kunst en vrije tijd

The aim of this thesis is to expedite and ensure the systematic accuracy of clearance scaling from adults to paediatric patients, with a special focus on drugs undergoing hepatic metabolism.

Promotor: J.P. Abrahams, Co-promotor: T. Grüne

Promotor: Roeland M.H. Merks

This thesis advances automata learning, a key area in computer science, with applications in software verification, biological analysis, and autonomous technologies. It explores three main themes: first, it introduces a passive learning algorithm for generating compact probabilistic models from positive…

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.

Of all the mass in our Universe, 80% is thought to consist of a hypothetical and invisible substance called dark matter (DM).

Indigenous Latin American artifacts have attracted the interest of Europeans since the earliest moment of contact between Europeans and the Indigenous peoples of the Americas. The ERC-funded BECACO project uses an innovative multidisciplinary framework to investigate the provenance of ethnographic and…

The marine shipping industry is one of the strongest emitters of nitrogen oxides (NOx), a pollutant detrimental to ecology and human health. Over the last 20 years, the pollution produced by power plants, the industry sector, and cars has been decreasing.

Throughout the history of computer science, a major challenge has been how to assert that software is free of bugs and works as intended. Software bugs can lead to serious negative impacts on any software system. Throughout the main body of the thesis, we implemented a series of studies on exploring…

Promotores: Prof.dr. J. Zaanen, Prof.dr. K.E. Schalm

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.

Over the past years it has been discovered that the population of extra-solar planets is large and diverse.

Promotor: Prof.dr. A.G.G.M. Tielens, Prof.dr. C. Dominik (UvA)

This thesis addresses the chemical processes that determine the compositions of giant planet atmospheres.

This thesis explores how electron paramagnetic resonance (EPR) spectroscopy can be used to investigate key biochemical processes.

The investigations described in this thesis lay out strategies aimed at advancing antibiotic research and development. The examples presented revolve around two main approaches: understanding drug-target interactions and target identification.

IoT technology poses serval opportunities to supply chains. This thesis employs grey correlation and forecasting models, system dynamics, agent-based modeling, and ex-ante LCA to investigate and quantify the opportunities and risks of IoT-enabled sustainable supply chain operations from both industrial…

Promotores: Prof.dr. G.W. Canters, Prof.dr. T.J. Aartsma

In this course, you will explore the organs involved in our food digestion and discover the common causes of abdominal and pelvic pain. The latest graphics and animations will give you new insights and understandings of this part of the body.

Artificial intelligence algorithms govern in subtle, yet fundamental ways, the way we live and are transforming our societies. The promise of efficient, low‐cost or ‘neutral’ solutions harnessing the potential of big data has led public bodies to adopt algorithmic systems in the provision of public…

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.

Nanoparticles can be used as delivery systems for both small molecules and macromolecules such as proteins, peptides or oligonucleotides. This thesis focuses on the use of liposomes, nanometric vesicles formed by a lipid bilayer enclosing an aqueous core. Liposomes are highly versatile delivery syst…

In this thesis, the role of mast cells in atherosclerosis and novel therapeutic strategies to inhibit atherosclerosis progression are discussed. The first part of the thesis specifically focuses on the relation between mast cells and advanced human atherosclerotic plaque characteristics.

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.

Irene Khan, expert op het gebied van mensenrechten, werpt een aantal vragen op: Wat kan men verstaan onder een ‘Culture of Justice’? Wie bepaalt wat 'Justice' is? Hoe realistisch is de bevordering van ‘Rule of Law’ en ‘Justice’ in landen waar sprake is van ernstige conflictsituaties en armoede?

A single self-assembled semiconductor quantum dot in a high-finesse optical microcavity - the subject of this thesis - is an interesting quantum-mechanical system for future quantum applications. For instance, this system allows trapping of an extra electron and thus can serve as a spin quantum memory,…

The extensive use of electronic communication channels and other devices has opened new possibilities for collecting data on human behavior. This information is sometimes openly accessible, but largely part of administrative registration systems that are not open to the broader public. The data provides…

Plants and soils from natural ecosystems harbor great diversity of soil microorganisms, which could potentially contribute to the sustainability of horticulture. The knowledge about using wild plant species and soil from natural ecosystem to improve the crop health will advance the application of ecological…

In dit artikel onderzoeken Wout Broekema, Wouter Jong en Sara Perlstein het ontwerp en de beoordeling van crisisonderzoeken vanuit een leerperspectief.

Stars like the sun are born in large molecular clouds existing from gas and dust. During the formation process, the chemical composition of the material can be altered drastically by the changing physical conditions.

Promotores: J.C. van Houwelingen, S.A. van de Geer

In dit artikel onderzoeken Thijs van Dooremalen en Philip Smith hoe het publieke discours over hittegolven is verschoven in Britse kranten.

The global agri-food system plays a critical role in food security and environmental issues.

Promotores: S.F. Portegies Zwart, E. M. Rossi

Door individuele gezondheidsgegevens te vergelijken met groepsdata, kunnen artsen advies op maat geven en kunnen patiënten leren van elkaars ervaringen. Wessel Kraaij, hoogleraar Applied Data Analytics, laat zien hoe persoonlijke data een voorspellende waarde kunnen hebben.