This dissertation provides a formal description of the relationship between diatopic/diachronic micro-variation and phonologization through analysis of the phonetic/phonological properties of unstressed vowel reduction and vowel insertion in two Northern Italian dialects.

In this paper, the authors outline how the UK and USA adopt the Chilean pension model without proper attribution, potentially distorting the lessons.

The aim of this thesis is to present novel techniques for proving cryptographic schemes secure against quantum adversaries. Most results are within the context of an idealized model called the ‘quantum random-oracle model’.

The objective of this project is the development of a new psychometric model, called the Generalized Squared Distance Logistic Model (GSDLM). This model is an evolution of older psychometric approaches (such as PARELLA, GHCM, and GGUM) and the Gaussian Ordination Models (GOMs) used in environmental…

This research project adresses the question how local and traditional European forms of parrhesiastic theater— events, actions, and performances staged by characters who courageously speak their minds through scenes of excess and laughter, that take place in public view and incite the spectator’s agency…

This dissertation addresses the different use of the same philosophical model: immanent teleology. In this work Aristotle, the founder of the study of final causes, is put in relation with the modern French evolutionary thinker Henri Bergson, the philosopher of time. The dissertation tackles the two…

Cholesterol influences many pathways, including serving as precursor for adrenal steroidogenesis. Imbalance of cholesterol levels has been implicated in several diseases including cardiovascular diseases and its underlying pathology, atherosclerosis.

PhD defence

PhD defence

Clearance is the most important pharmacokinetic parameter for drug dose selection. Pharmacokinetic information is typically first available in the adult population, and in general only limited pharmacokinetic data are available in children when drugs enter into the market. It is therefore of the utmost…

The Repository from the Drug Disease Model Resources (DDMoRe) consortium provides a home to a collection of computational models of disease and drug action that have been used in pharmaceutical and/or academic research. This publically available open-access resource will make it easier for researchers…

We use zebrafish as a model organism to study human development and disease as well as animal welfare and environmental impact.

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…

Simulation is a formal scientific method used to develop, compare and test hypotheses (models). In the last few decades the use of simulation has increased dramatically in virtually all scientific disciplines, but is still limited in archaeology due to the technological barrier – coding skills. Starting…

Creation of a framework for environmental parameter estimation that benefits from the consistency of physics-based theory-driven models and the accuracy of the machine-learning-based data-driven models

Electrical signals travel like a wave through our neural pathways. The mathematical models for these movements could not yet properly describe all the biological properties of the nerves. PhD student Willem Schouten-Straatman changed this by improving the existing models. ‘I hope that one day we will…

The stratum corneum (SC) plays a fundamental role in the barrier function of the skin. The SC consists of corneocytes embedded in a lipid matrix.

The availability of complete plant genome sequences together with the ever increasing amount of data on the molecular, cellular and physiological mechanisms of plant development require mathematical and computational models to obtain a complete overview of and generate new insights into the quantitative…

The discussion on employability of higher education graduates has been around for several years, with more emphasis in the 21st century. Yet, universities are still challenged in the pursuit of providing work-ready graduates who can meet industry expectations.

When new features are being written into software code, errors can easily be made. This causes bugs, which leads to software appearing later and being more expensive. Michiel Helvensteijn, a PhD student from CWI and the Leiden Institute of Advanced Computer Science, studied how to prevent these kinds…

This dissertation is about Bayesian learning from data. How can humans and computers learn from data?

Matthijs van Leeuwen of the Leiden Institute of Advanced Computer Science develops methods to make computer models interactive. With interactive models, experts can combine information from raw data with their own knowledge to make predictions more accurate. 'In this way we hope to build models that…

Do medicines arrive in the right amount at the right spot in our brain? By making a model that depicts our brain in small 'brain blocks', Esmée Vendel tries to find an answer to this question. Her new, mathematical model predicts the concentration of medicines in the brain over time and space. Vendel…

After 41 years, Meindert Danhof, Professor of Pharmacology, is leaving the Leiden Academic Centre for Drug Research on 31 March. A symposium in his honour, prior to his farewell lecture, will show what has been achieved in this period. Danhof takes a look back on his career.

The past two years, Laura van der Knaap and Professor Karsten Lambers worked on creating open teaching materials on agent-based modeling, funded by Erasmus+ and in collaboration with Danish, Irish and Dutch partners. Programming is an important skill involved in this, which is often seen as intimidating…

Two Leiden researchers have demonstrated how mathematics can improve our healthcare. Daniel Gomon has developed a model that contributes to the quality of care in hospitals. Marta Spreafico works on an app that helps physicians make well-informed decisions about the treatment of a certain type of cancer.…

Mechanical interactions between cells and their environment play an important role in many biological processes.

Learning from small data sets in machine learning is a crucial challenge, especially when dealing with data imbalances and anomaly detection. This thesis delves into the challenges and methodologies of learning from small datasets in machine learning, with a particular focus on addressing data imbalances…

This study aims to make a practical contribution to a new understanding and use of 3D reconstructions, namely as ‘laboratories’ to test hypotheses and visualize, evaluate and discuss alternative interpretations.