933 zoekresultaten voor “geavanceerde methods van gedragsonderzoek” in de Publieke website
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Methods Café
Informele kennismaking voor de empirische-juridische nieuwkomers en zoekenden.
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Recommended weighting methods
The project falls in the context of the EU Thematic Strategy on the Sustainable Use of Natural Resources (COM(2005)670). The Institute for Environment and Resources (IES) of the Joint Research Centre (JRC) has developed three sets of decoupling indicators. Such indicators require the definition of a…
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Leiden Law Methods Portal
Aan de Leiden Law School is een Engelstalige methodologische helpdesk beschikbaar.
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Improving robustness of tomographic reconstruction methods
Promotor: Prof.dr. K.J. Batenburg
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Nonparametric Bayesian Methods in Robotic Vision
In this dissertation non-parametric Bayesian methods are used in the application of robotic vision.
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Statistical methods for microarray data
Promotores: J.C. van Houwelingen, S.A. van de Geer
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The SpeakTeach method
Naar zelfregulerend leren bij spreek- en gespreksvaardigheid in moderne vreemde talen in het voortgezet onderwijs: een adaptieve en praktische aanpak.
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Effective Methods for Diophantine Equations
Promotor: R. Tijdeman
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Filter-based reconstruction methods for tomography
Promotor: K.J. Batenburg
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Reconstruction Methods for Combined HAADF-STEM and EDS Tomography
The research in this thesis is focused on tomographic reconstruction based on two imaging modalities in electron microscopy.
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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.
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A new method to reconstruct the structure from crystal images
Promotor: J.P. Abrahams, Co-promotor: T. Grüne
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Methods and Tools for Mining Multivariate Time Series
Mining time series is a machine learning subfield that focuses on a particular data structure, where variables are measured over (short or long) periods of time.
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Spectral imaging and tomographic reconstruction methods for industrial applications
Radiography is an important technique to inspect objects, with applications in airports and hospitals. X-ray imaging is also essential in industry, for instance in food safety checks for the presence of foreign objects.
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Network analysis methods for smart inspection in the transport domain
Transport inspectorates are looking for novel methods to identify dangerous behavior, ultimately to reduce risks associated to the movements of people and goods. We explore a data-driven approach to arrive at smart inspections of vehicles.
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On the amount of sieving in factorization methods
Promotoren: R. Tijdeman, A.K. Lenstra, Co-promotor: H.J.J. te Riele
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Monotonicity and Boundedness in general Runge-Kutta methods
Promotores: M.N. Spijker, J.G. Verwer.
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Advances in Survival Analysis and Optimal Scaling Methods
This thesis is based on five papers on several topics.
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Personalised medicine for multiple outcomes: methods and application
The main objective of this thesis was to develop clinically relevant survival models for patients with high-grade soft tissue sarcoma of the extremities, in particular the development and validation of prediction models for use in clinical practice.
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A systematic review of current cybersecurity training methods
Dit artikel presenteert een systematische review van verschillende trainingsmethoden op het gebied van cyberbeveiliging.
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Methods to simulate fermions on quantum computers with hardware limitations
This thesis is a collection of theoretical works aiming at adjusting quantum algorithms to the hardware of quantum computers.
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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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Evaluation of Different Design Space Description Methods for Analysing Combustion Engine Operation Limits
Promotor: Prof.dr. T.H.W. Bäck
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Are we there yet? Advances in anytime-valid methods for hypothesis testing and prediction
Statistical considerations guide the design and implementation of the experiments that scientists perform. For instance, in a clinical trial about a the efficacy of a treatment, its effect in a certain minimum amount of patients has to be observed in order to make confident assertions about the efficacy…
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amics in zebrafish: integration of experimental and computational methods
The zebrafish is a promising vertebrate model organism in early drug discovery and development.
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Development of automatic image analysis methods for high-throughput and high-content screening
Promotor: Prof.dr. B. van de Water
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Towards photo-CIDNP MAS NMR as a generally applicable enhancement method
Promotores: Prof.dr. H.J.M. de Groot, Prof.dr. J. Matysik (Universitaet Leipzig)
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Using cryo-EM methods to uncover structure and function of bacteriophages
Bacteriophages, or phages for short, are the most abundant biological entity in nature. They shape bacterial communities and are a major driving force in bacterial evolution.
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Computer Interface Character Speller: Convolutional Neural Network based Methods
A P300-based Brain Computer Interface character speller, also known as P300 speller, has been an important communication pathway, under extensive research, for people who lose motor ability, such as patients with Amyotrophic Lateral Sclerosis or spinal-cord injury because a P300 speller allows human-beings…
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Using synthetic control method to estimate the growth effects of economic liberalisation: Evidence from transition economies
Jaroslaw Kantorowicz and Rok Spruk onderzoeken de bijdrage van institutionele hervormingen aan economische groei.
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analytics for spatially-resolved omics data at single cell resolution: Methods and Applications
The deeper understanding of an organism's pathology is important for developing treatments. Over centuries of systematic research, clinical researchers have demonstrated that the more information they acquire about the cellular properties and their organisation in the tissue, the better they can understand…
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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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Unravelling cell fate decisions through single cell methods and mathematical models
Despite being the object of intense study, embryonic development has been difficult to model due to a number of reasons. First, complex tissues can be comprised of many cell types, of which we probably only know a subset.
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Structural Properties of Single Server Queueing Systems: Efficient Methods via Lumping and Dynamic Programming
This thesis consists of two main parts. The first part (Chapters 2 and 3) deals with a class of Markov process called Quasi-Skipfree (QSF) processes.
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Quality-driven multi-objective optimization of software architecture design: method, tool, and application
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M.R.V. Chaudron, Co-Promotor: M.T.M. Emmerich
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Marjolein FokkemaFaculteit der Sociale Wetenschappen
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Onderzoek
Onderzoek van de sectie Methodologie & Statistiek van het Instituut Psychologie aan de Universiteit Leiden
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Statistical physics and information theory for systems with local constraints
Systems with local constraints is a new finding in recent researches on complex systems. The heterogeneous spatial interactions and the temporal dependencies among those numerous units make it difficult to describe by traditional statistical physics.
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Van data naar inzichten
Sociaal wetenschappelijk onderzoek leert ons om menselijk gedrag en maatschappelijke structuren te begrijpen. Deze worden bepaald door veel verschillende factoren. Dat maakt het onderzoek complex en vergroot de kans op onterechte conclusies. Het kiezen van de onderzoeksmethoden en analyses is dan ook…
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New Foundations for Separation Logic
The research presented in this thesis concerns one of the most important questions in software engineering of our time: how can we make sure that software is free from memory safety bugs?
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Exploring new methods at Research Lab Legal Data Science
How can data analytics be used as a research method in the field of legal research? This question was addressed during the Research Lab Legal Data Science on 23 September, 2016.
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internationale samenwerking aan voor ontwikkeling geneesmiddelen geavanceerde therapie
Het Skåne University Hospital, de Universiteit van Lund en het Leids Universitair Medisch Centrum (LUMC) gaan samenwerken om onderzoek, onderwijs en ontwikkeling op het gebied van ATMP's (Advanced Therapy Medicinal Products) verder te ontwikkelen. Dat is afgesproken in een Memorandum of Understanding…
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Numerical exploration of statistical physics
In this thesis, we examine various systems through the lens of several numerical methods.
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A Matter of Skills: A Mixed-Method Study on the Evaluation and Implementation of an SEL Program Tailored to the Skills Adolescents Need in Educational
Promotie
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Digital warfare in the Sahel: popular networks of war and Cultural Violence
This interdisciplinary study focuses on (trans)national ethnic and popular networks, combining historical-ethnographic and computational methods to understand the ‘workings’ of networked conflict interfering in the increasingly violent conflict in the Sahel (Africa) and beyond. The project focuses on…
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27 oktober opening NeCEN: Meest geavanceerde microscopen ter wereld staan in Leiden
Het Netherlands Centre for Electron Nanoscopy (NeCEN) in Leiden opent zijn deuren op 27 oktober 2011. NeCEN geeft iedereen toegang tot de meest geavanceerde cryo-transmissie-elektronenmicroscopen ter wereld. Tien academische partners, lokale en nationale overheden en bedrijven werkten samen om dit centrum…
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Fitri MurfiantiFaculteit der Sociale Wetenschappen
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Instituut Biologie Leiden
De natuur is een onuitputtelijke inspiratiebron voor de wetenschappers van het Instituut Biologie Leiden (IBL). Vanuit het streven naar fundamenteel begrip van de natuur zoeken zij naar oplossingen op het gebied van gezondheid en behoud van de biodiversiteit. Het thema van het instituut is ‘Harnessing…
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Computer vision en beeldverwerking
Aan de hand van de karakteristieke aspecten van een beeld kunnen bepaalde computers ons vertellen wat het beeld laat zien. Ze kunnen dit leren op dezelfde manier als jonge kinderen beelden kunnen leren herkennen. Het verder verbeteren van deze technieken opent de weg naar een hele reeks nieuwe toepassingen.…
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Femke Bakker, Hawks and Doves: Democratic Peace Theory Revisited
Femke Bakker, Hawks and Doves: Democratic Peace Theory Revisited