305 zoekresultaten voor “final integration” in de Publieke website
-
A versatile tuple-based optimization framework
Promotor: Prof.dr. H.A.G. Wijshoff
-
Advances in computational methods for Quantum Field Theory calculations
In this work we describe three methods to improve the performance of Quantum Field Theory calculations.
-
Making the invisible visible: paramagnetic NMR and the transient protein complex
Promotor: Prof.dr. M. Ubbink
-
Algorithms for the description of molecular sequences
Promotor: J.N. Kok, P.E. Slagboom Co-promotor: J.F.J. Laros
-
Heme biosynthesis and regulation in the filamentous fungus Aspergillus niger
Promotors: Prof.dr. P.J. Punt, Prof.dr. C.A.M.J.J. van den Hondel
-
Counting problems for number rings
Promotor: H.W. Lenstra
-
Big simulations for big problems
In this thesis we investigate cosmology and the large scale structure of the Universe using cosmological simulations.
-
Magnetism and magnetization dynamics in thin film ferromagnets
Promotores: Prof.dr. J. Aarts, Prof.dr. J.M. van Ruitenbeek
-
Current challenges in statistical DNA evidence evaluation
Promotor: R.D. Gill, F. Taroni
-
Patterned detectors: From design to science
Patterned detectors are an existing technology that can be found in almost all color cameras.
-
Exploring the chemical space of natural products from Streptomyces using multi-omics approaches
The increasing resistance of pathogenic bacteria to antibiotics necessitates the discovery of new medicines.
-
Assembling anisotropic colloidal building blocks
This PhD-thesis presents a study on micron-sized particles, so-called colloids. By controlling the chemical and physical properties of these particles, such as the interparticle interaction and the particles’ shape, colloids can act as building blocks that self-assembly into larger structures.
-
Dynamics and regulation of the oxidative stress response upon chemical exposure
The focus of the described research in this thesis is on the oxidative stress response (Nrf2 pathway). The aim of the research presented in this thesis is to obtain more information concerning microRNAs which are involved in the Nrf2 pathway, to determine and evaluate the application of microRNAs for…
-
From pixels to patterns: AI-driven image analysis in multiple domains
This thesis investigates the application of deep learning techniques in image analysis across various domains, focusing on four main themes: feature extraction, classification, segmentation, and integration, demonstrating the transformative potential of these technologies.
-
Giant unilamellar vesicles: An efficient membrane biophysical tool and its application in drug delivery studies
Promotor: A. Kros
-
Geometric approach to evolution problems in metric spaces
Promotor: S.M. Verduyn Lunel, Co-promotor: O.W. van Gaans
-
Het miljard deeltjes probleem
Promotor: Prof.dr. S. Portegies Zwart
-
Nuclear magnetic resonance force microscopy at millikelvin temperatures
Promotor: T.H. Oosterkamp
-
Fostering Curiosity Through Video Games
This thesis manuscript explores the use of video games as tools for conceptual exploration and academic research.
-
The potential of multi-scale EE-MRIO to support sustainable development policies in Indonesia
Global Environmental Extensions Multi-Regional Input-Output (EE-MRIO) analysis is often used to analyze how changes in global and national demand for products lead to socioeconomic and environmental impacts at the national level.
-
Computational modeling of angiogenesis : from matrix invasion to lumen formation
Promotor: Roeland M.H. Merks
-
On the geometry of fracture and frustration
Promotor: Prof.dr. M.L. van Hecke, Co-Promotor: V. Vitelli
-
Dynamical Gibbs-non-Gibbs transitions and Brownian percolation
Promotor: Prof.dr. W.Th.F. den Hollander, Co-promotor: R. Fernandez.
-
Systems pharmacology of the amyloid cascade
According to the amyloid cascade hypothesis, accumulation of beta-amyloid (Aβ) peptides initiates the pathological cascade in Alzheimer's disease (AD).
-
Computational speedups and learning separations in quantum machine learning
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…
-
Miniaturized metabolomics methods for enabling the study of biomass- restricted samples
This thesis investigated miniaturized mass spectrometry (MS)-based analytical methods to address challenges in analyzing biomass-restricted biological samples.
-
Duurzaamheid in onderwijs
De universiteit streeft ernaar dat alle studenten in hun opleiding kennismaken met duurzaamheidsthema’s en -vraagstukken, die zoveel mogelijk aansluiten bij de inhoud van hun opleiding.
-
African Oral Literatures, new media and technologies
African oral literatures, new media and technologies: challenges for research and documentation
-
Unconventional fabrication of 2D nanostructures and graphene edges
In this work, we illustrate unconventional approaches towards the fabrication of edge functionalized graphene nanostructures and bidimensional architectures in polymeric and metallic supports, with an outlook towards molecular sensing devices.
-
Novel approaches for direct exoplanet imaging: theory, simulations and experiments
The next generation of high-contrast imaging instruments on space-based observatories requires sophisticated wavefront sensing and control in addition to a high-performance coronagraph.
-
Gintingan in Subang: An Indigenous Institution for Sustainable Community-Based Development in the Sunda Region of West Java, Indonesia
This study attempts to understand how indigenous community institutions pose an important role in sustainable community-based development, including the integration between local culture and development.
-
Developing metabolomics for a systems biology approach to understand Parkinson's disease
Neurodegenerative diseases, including Parkinson’s disease (PD), are increasing in prevalence due to the aging population. Despite extensive study, these diseases are still not fully understood and the lack of personalised treatment options that can target the cause of the diseases, rather than the symptoms,…
-
Machine learning-based NO2 estimation from seagoing ships using TROPOMI/S5P satellite data
The marine shipping industry is one of the strongest emitters of nitrogen oxides (NOx), a pollutant detrimental to ecology and human health. Over the last 20 years, the pollution produced by power plants, the industry sector, and cars has been decreasing.
-
Mitochondria in chemical-induced toxicity
Chemical-induced organ toxicity is a major concern in the development and use of chemicals, including drugs, pesticides, industrial chemicals and cosmetics. In the last decades, the onset and progression of chemical-induced organ toxicity has been linked amongst others to perturbation of mitochondri…
-
Chemistry and characterization of the graphene basal plane and edge for recognition tunneling
Biopolymer sequencing with graphene edge-based tunnel junctions has the potential to overcome current limitations with the third generation of sequencing based on biological nanopores.
-
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…
-
Preclinical validation of putative targets in cardiovascular and metabolic disease
Cardiovascular disease is the number one cause of death worldwide. The most important risk factor for developing this disease is high cholesterol levels in the blood.
-
Formal models of software-defined networks
SDN (Software-Defined Networking) represents a revolutionary approach to network architecture that enables the dynamic and flexible management of network resources through software-based control. This dissertation introduces the idea of SDN and its southbound protocol OpenFlow, then presents the formal…
-
Strategies for the improvement of genome editing in Arabidopsis thaliana
Increasing the efficiency of gene targeting (GT) as a genome editing tool in plants has been an important goal in plant biotechnology.
-
Improving targeted gene editing in Arabidopsis thaliana
Understanding DNA repair mechanisms is essential for advancing plant biotechnology and crop improvement. This study investigates how double-strand breaks (DSBs), induced by CRISPR/Cas systems, are repaired in the model plant Arabidopsis thaliana, and how these processes influence Agrobacterium tumefaciens…
-
Pharmacology based toxicity assessment: towards quantitative risk prediction in humans
Promotor: Prof.dr. M. Danhof
-
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…
-
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…
-
Guiding evolutionary search towards innovative solutions
Promotors: Prof.dr. T.H.W. Bäck, Prof.dr. B. Sendhoff (Technische Universität Darmstadt)
-
Bakti and Sayan traditions among the Tenggerese people in East Java: the role of indigenous institutions in integrated elderly care development
This research delves into the unique cultural approach of the Tenggerese people, an Indigenous community in East Java, Indonesia, regarding elderly care. It focuses on their traditional practices of bakti (‘filial piety’) and sayan (‘mutual aid’), deeply ingrained in the community's lifestyle and va…
-
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.
-
Advancing the LeiCNS-PK3.0 model for prediction of CNS Pharmacokinetics Nonlinear BBB Transport, Inter-species Scaling, and Machine Learning
This thesis focuses on enhancing predictions of central nervous system drug exposure using the LeiCNS-PK3.0, a physiologically based pharmacokinetic model.
-
Proton transport through non-covalently functionalized graphene
Single-layer graphene (SLG) has attracted considerable interest as a proton exchange membrane for direct methanol fuel cells (DMFCs), owing to its atomic thickness, mechanical robustness, and unique proton permeability.
-
A chemical biology approach to explore lipid metabolism in neurological disorders
Neurodegenerative diseases pose a large medical and societal challenge. The etiology of these diseases is still poorly understood, which makes drug discovery for these diseases difficult.
-
Advances in 2D Material Synthesis, Transfer, and Device Integration
Promotie