1,589 zoekresultaten voor “complex network” in de Publieke website
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Visual Relation extraction Based on Deep Cross-media Transfer Network
Building a Deep Cross-media Transfer Network to extract visual relations that relieve the problem of insufficient training data for visual tasks.
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Moved by the tears of others: emotion networking in the heritage sphere
There is no heritage without emotional sharing and clashing. This article explores the involvement of divergent emotions in heritage making by discussing the debate series of Imagine IC and the Reinwardt Academy and zooming in on the commemoration of slavery and imagery of ‘Black Pete’ in the Netherlands.…
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Flow: A study of electron transport through networks of interconnected nanoparticles
This thesis describes a study from both a theoreticaL and an experimental point of view.
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Information Diffusion Analysis in Online Social Networks based on Deep Representation Learning
With the emergence of online social networks (OSNs), the way people create and share information has changed, which becomes faster and broader than traditional social media.
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1,2-cis-glycosylations: method development and synthesis of complex oligosaccharides
Promotor: G.A. van der Marel, Co-promotor: D.C. Codée
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Biomimetic redox reactions of the Cu(II) μ-thiolate complex
Promotor: Prof.dr. E. Bouwman
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Alberto Ceria-
Wiskunde en Natuurwetenschappen
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Beyond random and forbidden interactions : how optimizing energy gain results in morphological matching among subalpine Asteraceae and their
Plants and their pollinators form complex interaction networks. Within these networks, species differ widely in the number of species they interact with.
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Statistical learning for complex data to enable precision medicine strategies
Explaining treatment response variability between and within patients can support treatment and dosing optimization, to improve treatment of individual patients.
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The Regional Network on the Synergy between the Convention on Biological Diversity and the UN Convention to Combat Desertification
Description of The Regional Network on the Synergy between the Convention on Biological Diversity and the UN Convention to Combat Desertification.
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Lipid signaling and inflammation: metabolomics for better diagnosis and treatment strategy
Lipid signaling is an essential biological event/process in a plethora of pathophysiological conditions. The underlying idea of this thesis is that many of the roles and the complex interplay of the individual signaling lipids in inflammatory processes and related conditions in health and disease is…
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Blowup in the complex Ginzburg-Landau equation
Promotor: Prof.dr. A. Doelman, Co-promotor: V. Rottschäfer
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Deciphering the complex paramagnetic NMR spectra of small laccase
Multicopper oxidase, laccase, can efficiently reduce oxygen to water and are mostly used in the enzymatic biofuel cells.
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Grip krijgen op complexiteit. Onderwijs voor het 'moeras'
Hoe kun je leerlingen en studenten leren grip te krijgen op complexe ‘moerassituaties’? Oratie in verkorte vorm uitgesproken door prof.dr.ir. Fred Janssen bij de aanvaarding van het ambt van hoogleraar in de Didactiek van de Natuurwetenschappen aan de Universiteit Leiden op 19 juni 2017.
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LCN2 Seminars
Een maandelijks seminar over complexe netwerken, gericht op wetenschappers uit alle disciplines.
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The structure of the cytochrome P450cam-putidaredoxin complex determined by paramagnetic NMR spectroscopy and crystallography
Promotor: Prof.dr. M. Ubbink
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Functional characterization and unraveling the Gene Regulatory Networks (GRNs) of HD-Zip transcription factor HB40 (and HB22) in Arabidopsis
In this Ph.D. thesis, we characterized two novel upstream regulators of JUB1, HB40, and HB22, in Arabidopsis thaliana. In Chapter 2, we described functions of HB40 in modulating growth and development via the regulation of JUB1 and GA inactivation genes GA2OXs.
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Change: How has Women’s Political Mobilization Restructured Political Networks and Changed Local Governance?
Gaat de toenemende deelname van vrouwen aan verkiezingen in ruraal India het bestuur verbeteren?
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The formation of complex organic molecules in dense clouds-Sweet results from laboratory
Large areas of space are filled by molecular clouds that consist of gas and dust grains that are the remnants of dead stars. When these clouds start collapsing, the decreasing temperature and increasing density cause gas particles to start accreting onto dust grain surfaces.
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Resolving a bioindicator diatom species complex using genomic approaches for freshwater biomonitoring
This thesis pioneers diatom molecular identification and quantification through genome-scale methods, with four key aims: (i) reviewing DNA/RNA sequencing methods in aquatic biomonitoring to highlight their strengths and limitations;
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Charge transport properties of Ru-complex molecules: the influence of humidity
I will give a general introduction to the field of molecular electronics, its history, methods and challenges. I will also introduce the subject of my investigation and provide a brief outlook to the remainder of our thesis.
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Gene networks-based mechanistic assessment of drug-induced organ toxicity: a focus on liver and kidney
Drug induced organ toxicity is the main problem of the drug development and drug usage in the clinic. The liver and kidneys are the most sensitive organs towards drug induced toxicity.
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investigation of the photoprotection mechanism of Light Harvesting Complex II
Solar energy is used by photosynthetic organisms to drive energy required cellular processes. Is absorbed by two groups of pigments, located in the LHCs.
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Identification and characterization of developmental genes in streptomyces
Promotor: Prof.dr. G.P. van Wezel
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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).
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Call for Papers - Networks of Manuscripts, Networks of Texts (Amsterdam, deadline: 30 April 2020)
This two-day international conference organised by the 'Innovating Knowledge' Project aims to bring together researchers applying network analysis to premodern manuscripts and manuscript texts.
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Algorithms for analyzing and mining real-world graphs
Promotor: Prof.dr. J.N. Kok, Co-Promotor: W.A. Kosters
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Signalling pathways that control development and antibiotic production in streptomyces
Bacteria are highly complex and diverse organisms that have adapted to survive in ecological niches ranging from the most extreme to the most heterogeneous environments.
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Disentangling a complex genus: systematics, biogeography and bioactivity of the genus Phyllanthus L. and related genera of tribe Phyllantheae
The largest genus within the Phyllanthaceae family is a group called Phyllanthus L. Recent studies have shown, that Phyllanthus is paraphyletic with the genera Glochidion, Breynia and Synostemon nested within it.
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System-level design for efficient execution of CNNs at the edge
A convolutional neural network (CNN) is a biologically inspired algorithm, highly capable at processing images and videos.
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Linking the gene regulatory network with the functional physical structure of whole-genome engineered Arabidopsis mutants : an HR-MAS NMR-based
Climate change is a challenge for both current and future generations. New biological resources have to be developed in order to meet the demand for energy as well as the demand for food.
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NETWORKS-consortium krijgt COFUND-beurs van Europese Commissie
Het Zwaartekracht-programma NETWORKS heeft een COFUND-beurs gekregen van 3 miljoen. De helft daarvan komt vanuit het programma Marie Skłodowska-Curie Actions van de Europese Commissie, partners uit het bedrijfsleven betalen de andere helft. Van de 14 nieuwe promovendi komen er twee bij de Leidse onderzoeksgroep…
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Multi-dimensional feature and data mining
In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.
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Leiden University Buddhist Studies Network opgericht
Sinds kort bestaat het Leiden University Buddhist Studies Network, opgericht bij het LIAS, het Leiden University Institute for Area Studies.
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Metabolomics Implementation Network gelanceerd voor eerlijke data
Op 10 maart 2017 verwelkomde Professor Karel Luyben (TU Delft) het Metabolomics GO FAIR Implementation Network als community initiatief om de Europese Open Science Cloud te starten. Het netwerk richt zich op het implementeren van de FAIR data principes binnen metabolomics in Europa.
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LGBT+ Network: een platform voor gelijkgestemden
De Universiteit Leiden is een platform rijker. Vicerector Hester Bijl gaf op 19 september het officiële startschot voor de oprichting van het LGBT+ Network.
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Events
Het LIACS organiseert verschillende lezingenseries, zoals het Florence Nightingale Colloquium, LCN2 Seminars, de Ada Lovelace Distinguished Lecture Series en het OTICS Colloquium.
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Learning class-imbalanced problems from the perspective of data intrinsic characteristics
The class-imbalance problem is a challenging classification task and is frequently encountered in real-world applications. Various techniques have been developed to improve the imbalanced classification performance theoretically and practically.
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Exploring Deep Learning for Intelligent Image Retrieval
This thesis mainly focuses on cross-modal retrieval and single-modal image retrieval via deep learning methods, i.e. by using deep convolutional neural networks.
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Population size fails to explain the evolution of complex culture
The logic seems inescapable indeed. The bigger the population, the higher the probability it contains an Einstein. Hence, bigger populations are more likely to develop complex culture.
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Beperken instroom asielzoekers complex
De VVD stemde vorige week in met de nieuwe spreidingswet, waardoor gemeentes verplicht kunnen worden asielzoekers te huisvesten. Dat gebeurde nadat premier Rutte toezegde aan de slag te gaan met het inperken van de stroom asielzoekers. In hoeverre kan hij die belofte waarmaken?
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Business Liability Research Network (BLRN) online jaarverslag 2019, 2020
Graag presenteren wij het Business Liability Research Network (BLRN) online jaarverslag 2019, 2020. In dit dubbele jaarverslag rapporteert het BLRN over de belangrijkste resultaten over de jaren 2019 en 2020. Het jaarverslag bevat onder meer een compleet overzicht van de publicaties en evenementen in…
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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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Ignas Snellen over complex buitenaards leven
Het aantal planeten waarop complex leven kan gedijen, is kleiner dan gedacht. Beloftevolle tweelingen van de aarde blijken bij nader inzien slechts beperkt levensvatbaar, stellen astronomen. Ignas Snellen van de Leidse Sterrewacht reageert in DeMorgen op het nieuws.
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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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Constructing elliptic curves of prescribed order
Promotor: Peter Stevenhagen
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De complexiteit van Groningen en vertrouwen
Sinds de gasbevingen in Groningen worden ‘vertrouwen’ en ‘overheid’ daar niet zomaar meer met elkaar geassocieerd. Dat leverde de casus op van de Honours Class ‘Gaswinning in Groningen en het fenomeen van vertrouwen in de overheid’, waarin studenten erachter kwamen hoe complex een begrip als ‘vertrouwen’…
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Oogst eerste bijeenkomsten toekomst WSD-complex
De eerste ronde gebruikersbijeenkomsten heeft veel input opgeleverd voor de toekomstige Humanities Campus. Het doel: inzicht in de activiteiten die plaatsvinden in de Leer- en Werkomgeving en welke typen ontmoeting er plaatsvinden. Lees in de samenvattingen wat jouw collega’s en studenten hebben ing…
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Networks of the future
Lezing, Tuesday Talks: Science Insights
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Quantum machine learning: on the design, trainability and noise-robustness of near-term algorithms
This thesis addresses questions on effectively using variational quantum circuits for machine learning tasks.