98 zoekresultaten voor “limited” in de Publieke website
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Deep learning for tomographic reconstruction with limited data
Tomography is a powerful technique to non-destructively determine the interior structure of an object.Usually, a series of projection images (e.g.\ X-ray images) is acquired from a range of different positions.
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Pulling the Brakes on Political Violence: How Internal Brakes Limited Violent Escalation from the Provisional IRA
Onder welke omstandigheden beperken paramilitaire groepen hun gebruik van politiek geweld? Dit artikel onderzoekt het gebruik hiervan door de PIRA.
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Limited Impact of Introducing Proportional Representation on Women’s Representation: Insights from a Quasi-Experiment in Local Elections
Dit artikel onderzoekt de effecten van de invoering van proportionele vertegenwoordiging (PR) op de politieke vertegenwoordiging van vrouwen.
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Advancing Learned Algorithms for 2D X-ray Computed Tomography
This thesis surveys the intersection of computed tomography (CT) and machine learning (ML), treating CT as an ill-posed inverse problem shaped by object properties, imaging physics, and data limitations.
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Capillary Electrophoresis-Mass Spectrometry based Metabolomics Approaches for Volume-restricted Applications
Metabolomics is a powerful tool that can provide a comprehensive insight into the complexity of human biology and the pathophysiology of diseases. By analyzing the metabolome, which refers to the complete set of small (endogenous) molecules (with a mass <1500 Da) present within a given biological system,…
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Solution in Dissolution: dynamics and fate of metal-based nanoparticles in toxicity assessment
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…
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Algebraic filters for filtered backprojection
Promotor: K.J. Batenburg, Co-promotor: A.W. van der Vaart, B. de Smit
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Online Course Clinical Kidney, Pancreas and Islet Transplantation
Kidney transplantation is a major advance of modern medicine. This course will give you state of the art updates about what used to be an experimental, risky, and very limited treatment option more than 50 years ago and is now routinely performed in many countries worldwide.
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Stable single molecules for quantum optics and all-optical switches
Promotor: Prof.dr. M.A.G.J. Orrit
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Potentiation of Gram-positive specific antibiotics against Gram-negative bacteria through outer membrane disruption
Extending our current arsenal of antibiotics is key to staying ahead in the arms race between humans and resistant bacteria.
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Essentiality of conserved amino acid residues in β-lactamase
Evolution acts via mutations in amino acid sequences. Substitution of essential amino acids leads to a nonfunctional protein. l.
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Steden van het Romeinse Nabije Oosten
Het belangrijkste doel van dit onderzoek is om de steden van het Romeinse Nabije Oosten in de keizertijd in kaart te brengen, met een focus op locatie, stadsgrootte en stedelijke kenmerken, om de vorm van het stedelijke systeem en de niveaus van integratie te bestuderen.
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CMLCA
CMLCA is a software tool that supports the technical steps of the Life Cycle Assessment. The focus of the program is on advanced computational aspects of life cycle inventory calculations.
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Monitoring drought and salinity stress in agriculture by remote sensing for a sustainable future
Food security is challenged by a growing global population and by climate change. Drought and soil salinity are considered the most important ones that inhibit crop yield and distribution. Worryingly, climate change is predicted to increase not only their frequency and severity, but also their co-occurrence,…
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Environmental opportunities and challenges for IoT technologies in sustainable supply chain operations: from industries to products
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…
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Optoplasmonic detection of single particles and molecules in motion
Detecting nanoscopic objects plays an important role in nanoscience in particular, in the rapidly growing field of nanobiology. The forebear to modern super-resolution microscopy for single molecule investigation, is fluorescence microscopy.
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Innovative sample preparation and handling strategies for automated and high-throughput metabolomics
Metabolomics has the potential to play a pivotal role in understanding disease onset and progression, and ultimately personalized treatments. One of its major challenges is its large-scale implementation, which is necessary to deal with the high variability of the metabolome. In this work we have developed…
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Getting personal: Advancing personalized oncology through computational analysis of membrane proteins
Cancer is considered the silent pandemic of the 21st century and the second leading cause of death worldwide.
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Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box ProblemsBagheri, S.
Optimization tasks in practice have multifaceted challenges as they are often black box, subject to multiple equality and inequality constraints and expensive to evaluate.
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Visualization of Vitamin A Metabolism
Vitamin A or retinol is essential in embryonic development, the visual cycle and the immune system.
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Phenotypic plasticity and genetic adaptation of plant functional traits on global scales
In light of climate change, it is crucial to determine whether plant species can adapt to future climates to avoid extinction. Plants adapt to various conditions by altering their functional traits, such as leaf size or photosynthetic rate. Some traits appear linked and vary together between species,…
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The developing infant gut microbiota: mathematical predictions of the effects of oligosaccharides
A complex community of microbes develops in the infant gut shortly after birth. We call this community the infant gut microbiota. The microbiota influences the health of the infant, which makes the composition and function of the infant gut microbiota an important topic to study.
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A novel formulation for skin barrier repair : from ex vivo assessment towards clinical studies
The stratum corneum is the outermost skin layer and consists of dead cells embedded in a lipid matrix.
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Towards an effective biodiversity conservation and governance in the Pontocaspian region
Freshwater and brackish water ecosystems are arguably the most vulnerable ecosystems on earth, due to concentrated human developments in and around them. The Pontocaspian (PC) region located at the border of Europe and Asia contains a variety of brackish water ecosystems and unique inhabitants, known…
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Convergent molecular evolution of toxins in the venom of advanced snakes (Colubroidea)
The explosive radiation and diversification of the advanced snakes (superfamily Colubroidea) was associated with changes in all aspects of the shared venom system. Morphological changes included the partitioning of the mixed ancestral glands into two discrete glands devoted for production of venom ormucous…
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Deep Learning Solutions for Domain-Specific Image Segmentation
Image segmentation is a fundamental task in computer vision, with applications ranging from medical diagnostics to archaeological research.
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Targeted Therapy for Triple-Negative Breast Cancer
The research described in this thesis focused on identifying novel drug targets and synergistic combinations for triple-negative breast cancer (TNBC), a virulent subtype of breast cancer with a dismal prognosis and limited therapeutic options.
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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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Flexing the Slot Regime
Op 16 december 2021 verdedigde Lisanne van Houten het proefschrift 'Flexing the Slot Regime'. Het promotieonderzoek is begeleid door prof.dr. P. Mendes de Leon en prof. L. Pierallini (Luiss University Of Rome).
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Single-molecule fluorescence in sequence space
The sequence-dependence of biomolecular interactions involving nucleic acids and proteins is essential for numerous processes inside the cell. Insights into the underlying molecular mechanisms have been obtained using various biochemical and biophysical methods on two different levels — bulk and sin…
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Stellar radio beacons for Galactic astrometry
A century ago, it was unclear whether the stars in the sky were clustered in groups, or widely spread in the universe.
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Circulating cells as biomarkers in cardiovascular disease : the difference between men and women
Promotor: J. Kuiper
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Reactivity of cobalt(II)-dichalcogenide complexes: correlation between redox conversion and ligand-field strength
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.
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Anthracycline biosynthesis in Streptomyces: engineering, resistance and antimicrobial activity
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.
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Machine learning for radio galaxy morphology analysis
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.
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The architects of crenarchaeal chromatin: A biophysical characterization of chromatin proteins from Sulfolobus solfataricus
Promotor: Jaap Brouwer, Co-promotor: Remus Th. Dame
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Quantitative pharmacological modelling for optimizing treatment of sepsis
Sepsis is a life-threatening condition caused by a dysregulated host response to infection, it is associated with significant morbidity, mortality, and with a high financial burden on global healthcare systems. Bacterial infections are the primary cause of sepsis, but the growing prevalence of antimicrobial…
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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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Molecular sensors for calcium ion detection via triplet-triplet annihilation upconversion
Cardiovascular diseases (CVDs) are the leading global cause of mortality. Endothelial dysfunction, an early reversible stage of CVD development, is marked by decreased nitric oxide production linked to Ca2+ influx in endothelial cells.
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Tuning in to star-planet interactions at radio wavelengths
Low-mass main-sequence stars like our Sun are continuous sources of outflowing hot magnetised plasma. In the case of the Sun, this is known as the solar wind, whereas for other stars they are called stellar winds.
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Understanding deep meta-learning
The invention of neural networks marks a critical milestone in the pursuit of true artificial intelligence. Despite their impressive performance on various tasks, these networks face limitations in learning efficiently as they are often trained from scratch.
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Molecular engineering of plant development using Agrobacterium-mediated protein translocation
Supervisor: P.J.J. Hooykaas Co-Supervisor: R. Offringa
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Artificial metallo-proteins for photocatalytic water splitting: stability and activity in artificial photosynthesis
Climate change is one of the largest challenges faced by humanity. To combat this research into alternatives to fossil fuels is ongoing. Dihydrogen is considered a good alternative fuel, since its burning only forms water.
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The tension between nature conservation and economic valuation of ecosystem services
Promotores: G.R. de Snoo, W.T. de Groot, Co-promotor: C.J.M. Musters
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Progressive Indexes
Interactive exploration of large volumes of data is increasingly common, as data scientists attempt to extract interesting information from large opaque data sets. This scenario presents a difficult challenge for traditional database systems, as (1) nothing is known about the query workload in advance,…
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The use of computational toxicology in hazard assessment of engineered nanomaterials
Assessing the risks of engineered nanomaterials (ENMs) solely on the basis of experimental assays is time-consuming, resource intensive, and constrained by ethical considerations (such as the principles of the 3Rs of animal testing). The adoption of computational toxicology in this field is a high p…
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Resistance to PARP inhibition by DNA damage response alterations in BRCA1/2-deficient tumors
Inactivating mutations in BRCA1 or BRCA2 genes predispose to several types of cancer.
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Controlling growth and morphogenesis of the industrial enzyme producer Streptomyces lividans
Promotor: G.P. van Wezel, Co-Promotor: E. Vijgenboom
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Determination of surface formation energies on curved single crystals from STM images
In this thesis, we study different curved single crystals because of the diversity of surface structures across their curvature.
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Life cycle assessment of emerging chemical technology systems: challenges and future needs
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.