1,286 zoekresultaten voor “is a art” in de Publieke website
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Iron complexes as electrocatalysts for the water oxidation reaction
In this dissertation, the synthesis and characterization of a series of iron complexes based on different ligand platforms are described.
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Development of personalized health monitoring using ultra-weak photon emission based on systems medicine concepts
Promotor: Jan van der Greef; Co-promotors: Mei Wang; Eduard van Wijk
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Targeting the adenosinergic system
Adenosine is an endogenous ligand which exerts its action by activating adenosine receptors (ARs), while its circulating levels are controlled via a variety of mechanism and proteins, amongst others the equilibrative nucleoside transporters (ENTs).
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Cathodic corrosion
Cathodic corrosion is a relatively unknown phenomenon that can severely etch metallic electrodes at cathodic (negative) potentials.
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Expanding the chemical space of antibiotics produced by Paenibacillus and Streptomyces
Antibiotic-resistant bacteria pose a major health threat. Addressing this challenge requires among others the development of new antibacterial compounds. The research described in this thesis focuses on discovering novel antibiotics from soil bacteria, specifically Streptomyces and Paenibacillus.Despite…
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The rebound effect through industrial ecology’s eyes : the case of transport eco-innovation
Promotor: Prof. dr. Arnold Tukker & Prof. dr. René Kemp (Maastricht University)
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B cell modulation in atherosclerosis
Cardiovascular disease is a major global burden and atherosclerosis is the main underlying pathological process.
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Optical properties of DNA-hosted silver clusters
Promotor: D. Bouwmeester, Co-promotor: D. Kraft
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Pharmaceutical Aspects of Subvisible Particles in Protein Formulations
Promotor: W. Jiskoot, Co-promotor: A. Hawe
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Lipid mediated colloidal interactions
The lipid membrane is a basic structural component of all living cells. Embedded in this nanometer-thin barrier, membrane proteins shape the membrane and at the same time respond to the shape of the membrane.
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When materials become critical: lessons from the 2010 rare earth crisis
Promotor: G.J. Kramer Co-Promotor: E.G.M. Kleijn
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Optimally weighted ensembles of surrogate models for sequential parameter optimization
It is a common technique in global optimization with expensive black-box functions to learn a surrogate-model of the response function from past evaluations and use it to decide on the location of future evaluations.
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Zebrafish xenograft model: identification of novel mechanisms driving prostate cancer metastasis
Prostate cancer (PCa) is one of the most prevalent cancer in males.
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Algorithm selection and configuration for Noisy Intermediate Scale Quantum methods for industrial applications
Quantum hardware comes with a different computing paradigm and new ways to tackle applications. Much effort has to be put into understanding how to leverage this technology to give real-world advantages in areas of interest for industries such as combinatorial optimization or machine learning.
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ALL-IN meta-analysis
Science is typically a patchwork of research contributions without much coordination. Especially in clinical trials, the follow-up studies that we do fail to be the most promising.
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Stress-induced protein dynamic and growth arrest in C. elegans during development
During post-embryonic development into adults, animals face an environment that fluctuates constantly. For example, in nutrient availability, temperature, and osmolarity (e.g., salt concentration).
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The unit residue group
The unit residue group, to which the present thesis is devoted, is defined using the norm-residue symbol, which Hilbert introduced into algebraic number theory in 1897.
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The CM class number one problem for curves
Promotores: P. Stevenhagen, A. Enge Co-Promotor: T.C. Streng
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The parabolic Anderson model and long-range percolation
Promotor: Prof.dr. F. den Hollander, G.Maillard
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Counting problems for number rings
Promotor: H.W. Lenstra
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Noonan and LEOPARD syndrome in zebrafish: molecular mechanisms and cardiac development
Promotor: Prof.dr. J. den Hertog
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Does it still hurt?
The last decades it is increasingly recognized that acute as well as chronic postoperative pain is an important problem. Treatment and prevention of postoperative pain is a challenge, especially in special patient populations where there is only limited guidance on how to optimally use opioids.
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Computational optimisation of optical projection tomography for 3D image analysis
Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.
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Invariant manifolds and applications for functional differential equations of mixed type
Promotor: S.M. Verduyn Lunel
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Exploring novel regulators and enzymes in salicylic acid-mediated plant defense
Salicylic acid (SA) is a plant hormone, which is involved in the defense responses to pathogens and to abiotic stress, and in the regulation of plant growth and development.
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Ecological functions and environmental fate of exopolymers of Acidobacteria
Acidobacteria is a widely distributed phylum but their functional roles in ecosystem processes are still largely elusive.
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Magnetic imaging of spin waves and magnetic phase transitions with nitrogen-vacancy centers in diamond
The elementary excitations of magnets are called spin waves, and their corresponding quasi-particles are known as magnons. The rapidly growing field of Magnonics aims at using them as information carriers in a new generation of electronic devices, (almost) free of electric currents.
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Concepts and applications for evidence-based dosing in morbidly obese patients before and after weight loss surgery
Promotor: C.A.J. Knibbe, Co-promotores: H.P.A. van Dongen, B. van Ramshorst
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Low-Energy Electron Microscopy on Two-Dimensional Systems: Growth, Potentiometry and Band Structure Mapping
Promotor: Prof.dr. J.M. van Ruitenbeek, Prof.dr. R.M. Tromp
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Breeding birds on organic and conventional arable farms
Promotor: G.R. de Snoo
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Coiled-coil mediated liposomal fusion: Asymmetric behaving peptide fusogens
Membrane fusion is a vital process in living organisms and is mediated by zipper-like proteins.
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Interactive scalable condensation of reverse engineered UML class diagrams for software comprehension
Promotores: Prof.dr. J.N. Kok, Prof.dr. M.R.V. Chaudron (Chalmers Univ., Sweden)
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Matchmaking for open innovation: perspectives on multi-sided markets
Promotores: Prof.dr. B.R. Katzy, Prof.dr. K. Sailer (Munich University)
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Computational and experimental studies of reactive intermediates in glycosylation reactions
Carbohydrates, or sugars, are the most diverse and most abundant biomolecules known. However, the isolation of carbohydrate samples in sufficient amounts and purity is often impractical or even impossible, so the chemical synthesis of glycosides becomes relevant. The glycosylation reaction, in which…
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AI Labs
AI Labs zijn samenwerkingen van de Universiteit Leiden met externe partner zoals bedrijven, overheidsinstellingen en andere universiteit op het gebied van kunstmatige intelligentie. De Faculteit voor Wis-en Natuurkunde is uniek gesitueerd op het grootste Bioscience Park van Nederlands, en ligt direct…
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Systems pharmacokinetic models to the prediction of local CNS drug concentrations in human
Clinical development of drugs for central nervous system (CNS) disorders has been particularly challenging and still suffers from high attrition rates.
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Dynamics and radiation from tidal disruption events
When a star gets too close to a supermassive black hole, it is torn apart by strong tidal forces in a tidal disruption event (TDE).
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Cholesterol metabolism and hematopoiesis interaction in atherothrombosis
Cardiovascular disease is the leading cause of death worldwide.
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Evolutionary Developmental Biology of Bitterling Fish
We developed the bitterling as a unique, well-studied model organism in the area of the evolutionary ecology of brood parasitism. The bitterling-mussel relationship, interspecific mussel host preference, and mussel gill structure are studied in detail, to help understand the developmental adaptation…
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Deciphering fermionic matter: from holography to field theory
Promotor: K.E. Schalm, Co-promotor: S.S. Lee
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Opinion Diversity through Hybrid Intelligence
This dissertation explores how Large Language Models (LLMs) can effectively and responsibly contribute to complex decision-making processes. By combining AI and human intelligence, Hybrid Intelligence (HI) emerges, allowing the strengths of both humans and machines to be utilized.
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Enhanced coinduction
Promotores: Prof.dr. F.S. de Boer, Prof.dr. J.J.M.M. Rutten (Radboud Universiteit Nijmegen)
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Water related adsorbates on stepped platinum surfaces
Promotor: M.T.M. Koper, Co-Promotor: L.B.F. Juurlink
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Synthesis of Ribitol Phosphate based Wall Teichoic acids
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.
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Deepening the uncertainty dimension of environmental Life Cycle Assessment: addressing choice, future and interpretation uncertainties.
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.
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Sweeping vacuum gravitational waves under the rug
One of the most important correlation functions in physics, especially in cosmology, is the energy density, which describes how much energy is present at each point in spacetime due to matter fields. A key contribution to the energy density of the primordial universe comes from gravitational waves (GWs),…
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Functional analysis of Dof transcription factors controlling heading date and PPDK gene expression in rice
Promotor: P.J.J. Hooykaas, Co-Promotores: P.B.F. Ouwerkerk, M. Wang
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Two-Prover Bit-Commitments: Classical, Quantum and Non-Signaling
This thesis considers multi-prover commitment schemes whose security is based on restrictions on the communication between the provers.
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The integration of meta-analysis and classification & regression trees: meta-CART
In meta-analysis, heterogeneity often exists between studies. In such cases, it is essential to investigate the sources of heterogeneity and understand the relationship between effect size and study characteristics (i.e., moderators).
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Risk bounds for deep learning
In this thesis, deep learning is studied from a statistical perspective. Convergence rates for the worst case risk bounds of neural network estimators are obtained in the classification, density estimation and linear regression model.