This thesis is concerned with the constitution of chiral responsive matrix assemblies that may undergo light-driven conformational changes and self-select vibrations to develop vibronic states for driving semi-classical coherent transfer with nearly 100% yield in a lossless NCAP process.

This dissertation investigates the energy and material related impacts of the transition towards a low-carbon heating system in the Netherlands, in the context of its 2050 climate and circular economy policy goals.

One of the key quests in astronomy is to study the growth and evolution of galaxies across cosmic time. Radio observations provide a powerful means of studying the formation of stars and subsequent buildup of distant galaxies, in a way that is unbiased by the presence of dust.

The haplolepideous mosses (Dicranidae) comprise about 4000 species distributed over a wide range of habitats, with great gametophytic and sporophytic morphological variation. Their monophyly is well supported by the results of several molecular phylogenetic studies, which shed light on their relationships…

Antibiotic resistance, caused by widespread use of antibiotics, leads to bacterial infections that are difficult, if not impossible, to treat and is a major worldwide health concern.

Humans can see the world through the eyes of other humans and imagine what they know, want, and intend. This competence is known as Theory of Mind.

LLInC ondersteunt innovatief en hoogwaardig onderwijs, binnen de Universiteit Leiden en in samenwerking met onderwijs- en maatschappelijke organisaties.

The way organisms develop from the initial single-cellular state to a complex final assembly like the human body, and how the final body is maintained throughout life, is one of the greatest mysteries and it’s understanding one of the biggest scientific challenges.

Promotor: Prof.dr. T. Hankemeier, Prof.dr. J.C.T. Eijkel (Twente University)

Promotor: S.J. Edixhoven, Co-promotor: R.S. de Jong

Promotor: Prof.dr. P.G.L. Klinkhamer, Co-Promotor: T.J. de Jong

Mycoheterotrophy is a particular mode of life in which plants obtain carbohydrates from their associated fungal partners, instead of by using photosynthesis.

Dissolution processes – next to aggregation processes - play an important role for fate prediction and environmental risk assessment of metal-based nanoparticles (MNPs). It is challenging to predict the kinetics of the dissolution process of MNPs in complex systems such as we can find in in vivo and…

Building a Deep Cross-media Transfer Network to extract visual relations that relieve the problem of insufficient training data for visual tasks.

Promotor: Prof.dr. J.P. Abrahams, Co-Promotor: N.S. Pannu

The recently introduced nature-originated deep eutectic solvents, so-called natural deep eutectic solvents (NADES) are considered as truly green solvents, which composed of natural ingredients found abundantly in organisms.

The mycorrhizal symbiosis is among the most widespread species interactions on Earth⁠. This thesis focuses on orchid mycorrhiza, a unique mycorrhizal type that has caught scientists’ attention for centuries⁠.

This proposed research uses ego-documents from visual artists that were not intended for publication to reassess the scholarly debate on the demise of the Russian Avant-garde aesthetic in the twenties and early thirties of the 20th century.

Promotor: Prof.dr. J.P. Abrahams, Prof.dr. M. van Heel

Tracing the evolution of the molecular gas content in galaxies is critical for a complete understanding of galaxy formation and evolution, as it provides the direct fuel for star formation. Studies of high-redshift (z>1) molecular gas reservoirs, most commonly traced by carbon monoxide (CO), have seen…

The type-IV secretion system (T4SS) is a machinery able to transfer DNA and proteins between bacteria and in certain cases also to eukaryotic cells.

Op 11 november 2021 verdedigde Mariana Gkliati het proefschrift 'Systemic Accountability of the European Border and Coast Guard'. Het promotieonderzoek is begeleid door promotoren prof.dr. P. Rodrigues en prof.dr. L. Besselink (UvA).

My work focuses on a class of astronomical objects called protoplanetary disks.

Ethiopian wolves are endangered diurnal Afroalpine rodent hunters. I investigated the interaction between wolves, rodents and human land use in Borena Sayint National Park (BSNP), Abune Yosef and Aboi Gara in Ethiopia.

Promotor: Prof.dr. G.R. de Snoo, Prof.dr. G.A. Persoon, Co-promotor: H.H. de Iongh

Promotor: A. Kros

Plants are colonized by an astounding number of microorganisms that can provide different life-support functions, including nutrient acquisition and protection against (a)biotic stresses like drought or pathogen attack.

The focus of this thesis is how stars like our Sun and planets like Jupiter, Saturn, and Earth are formed.

Dr. Helen Pluut heeft een artikel gepubliceerd in het gerenommeerde tijdschrift Organizational Behavior and Human Decision Processes (OBHDP). Dit in samenwerking met Remus Ilies (National University of Singapore), Petru Curşeu (Open Universiteit en Babeş-Bolyai University) en Yukun Liu (University of…

In this thesis, we describe the latest advances in SQUID-detected Magnetic Resonance Force Microscopy (MRFM).

The redox-conversion reaction of metal-disulfide and metal-thiolate complexes are important, as they may shed light on electron-transfer reactions that often occur in Nature.

Promotor: Prof.dr. H.P. Spaink, Co-promotor: Dr. M. van der Zee

Sustainable energy from wind and solar is most readily available near the sea.

Actinobacteria are well known for the production of bioactive natural products, many of which have applications in the fields of human, animal and plant health. Subject of this thesis are the anthracyclines, glycosylated aromatic polyketides with potent anticancer activity.

Empirical Legal Studies in Leiden focust op het bouwen van een interdisciplinaire gemeenschap van rechtsgeleerden en sociale wetenschappers die samen juridische vraagstukken onderzoeken op het snijpunt van recht en gedrag, waarbij diverse soorten methoden worden gebruikt.

Promotor: Prof.dr. K.J. Batenburg

Clinical development of drugs for central nervous system (CNS) disorders has been particularly challenging and still suffers from high attrition rates.

Death in all types of melanomas is generally caused by metastasis. Uveal melanoma (UM) is the most common intraocular melanoma, there are currently no (patient-derived) animal models that faithfully recapitulate metastatic dissemination of UM.

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

Promotores: Prof.dr. J.N. Kok, Prof.dr. M.R.V. Chaudron (Chalmers Univ., Sweden)

Promotor: Prof.dr. E Gittenberger, Co-Promotores: C.H.J.M. Fransen, B.W. Hoeksema

Promotor: Prof.dr. M.L. van Heck, Co-Promotor: B.P. Tighe

Promotor: H.V.J. Linnartz

The research described in this thesis focused on the use of bioorthogonal antigens to investigate immunological processes in antigen presenting cells. Bioorthogonal antigens are antigenic proteins produced through recombinant expression in a methionine auxotrophic E. coli strain.

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.

Promotors: Prof.dr. T.H.W. Bäck, Prof.dr. B. Sendhoff (Technische Universität Darmstadt)

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

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

The soil-dwelling, filamentous bacteria of the genus Streptomyces are renowned for their production of useful secondary metabolites including antibiotics. The work described in this thesis provides new insights on the role and regulation of antibiotic production and resistance in these bacteria.

This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…