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HiQ-LCA aims to deliver an independent, high-quality Life Cycle Assessment database for use in industrial battery LCA case studies

Promotores: Prof.dr.G.R. de Snoo and Dr. R. Heijungs

To contribute to the body of knowledge aiming at a better coverage of ecosystem service assessment in LCA studies, this thesis dives into the challenges of incorporating existing ecosystem service methods within the impact assessment phase of the conventional LCA framework.

The upscaling of Life Cycle Assessment (LCA) data is recognized as one of the main challenges in the ex-ante LCA of emerging technologies. This challenge arises since industrial-scale system specifications for these technologies are unknown and industrial data is lacking.

This thesis discusses several questions regarding the double ramification cycle as a Chow class on the moduli space of stable n-pointed genus g curves using tools from so-called logarithmic geometry.

Promotores: Prof.dr. G.R. de Snoo & Dr. R. Heijungs

How effective is eye movement desensitization and reprocessing therapy in targeting epilepsy-related anxiety?

The development of new environmentally sound technologies is seen as a key route towards achieving sustainability.

LCA has become an important method to study environmental impacts of human activities. Still, there are several methodological issues in LCA that can adversely affect the results reliability.

A difficulty of studies on chemical kinetics are the reaction time scales and detection of their intermediates.

Researchers at LED3 are working together with biopharmaceutical company Galapagos to develop software for use in early drug discovery (funded by NWO). This software is able to design molecules with several simultaneously optimized characteristics and will also take prediction reliability into consideration…

Promotor: Prof.dr. G.R. de Snoo

In this PhD study, I aim to deepen our understanding of the influence of major mycorrhizal types, namely arbuscular mycorrhizae (AM) and ectomycorrhizae (EM), on the global soil carbon cycle and their potential distribution changes under future environmental shifts.

The Automated Design and Analysis of Algorithms (ADA) research group pursues the development of Artificial Intelligence techniques that complement, rather than replace, human intelligence.

The volume is one-stop shopping for crisis studies and a number of closely related fields, providing a window onto the latest thinking in the field. The articles reflect cutting edge, state of the art scholarship and pose key questions for research and practical development.

With textnets it is possible to visualize and analyze textual data in novel ways.

What mismatch of socioeconomic and environmental values is preventing Circular Collaboration in Dutch housing renovations?

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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.

The Explainatory Data Analysis group develops algorithms and theory that enable domain experts to explain data by finding interpretable patterns and models.

In this publication, Prof. Tahir Abbas, Inés Bolaños Somoano, Joana Cook, Isabelle Frens, Graig R. Klein and Richard McNeil-Willson look into the manifesto that was linked to the Buffalo attack in order to better understand the broader context and specific factors that motivated the perpetrator.

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

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The main research question of this thesis was: Can nitrogen cycling on dairy farms on peat soil in the Dutch Green Heart area be improved by adapting management to the nitrogen supply from soil and by using other grassland species and crops without affecting milk production?

The research of our group is centered around dynamical systems, functional analysis and their interplay.

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

The transition to electric vehicles (EVs) reduces vehicle emissions to combat climate change. EVs raise concerns regarding the production of lithium-ion batteries and related emissions; while batteries can also provide energy storage services for the electricity system.

Obtaining imaging data is nowadays only the start of your project. Once the data has been acquired there are many things that still need to be done.

The research of this programme is centered around dynamical systems, functional analysis, and their interplay.

This handbook provides a resource for those already familiar with some kinds of micro-particles who wish to learn more about others, or for those just starting out in the study of microremains who wish to have a broad understanding about microscopic archaeology.

The focus of the Multicriteria Optimization and Decision Analysis (MODA) group is to develop foundations of methods in multi-objective optimization.

The main methodological aspects of the use of stepwise LCA estimators under different circumstances.

Leiden University, Department of Economics

A study of the technology, form, function, and use of pottery from the settlements Uitgeest-Groot Dorregeest and Schagen-Muggenburg 1, Roman Period, North-Holland, the Netherlands

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

This thesis is based on five papers on several topics.

Analysis of neuroimaging data requires multiple steps where statistics play a crucial role. The MRI methods research group develops new statistical methods that are accurate, transparent and easy to use.