1,553 search results for “data analysis” in the Public website
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Workshop: How to write a Data Management Plan (DMP)
Workshop
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Workshop: How to write a Data Management Plan (DMP)
Workshop
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Generalized Strictly Periodic Scheduling Analysis, Resource Optimization, and Implementation of Adaptive Streaming Applications
This thesis focuses on addressing four research problems in designing embedded streaming systems.
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Wouter van LoonFaculty of Social and Behavioural Sciences
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Physicochemical analysis of allosteric binding pockets
Supervisor: Gerard van Westen
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Oliver TuazonFaculteit der Rechtsgeleerdheid
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Fabrizio CorrieraFaculty of Science
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Laura ZwepFaculty of Science
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Accountability and data-driven urban climate governance
The use of increasingly large and diverse datasets to guide urban climate action has implications for how, and by whom, local governments are held accountable.
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Knowledge Discovery and Data Mining from patient experience repositories
This project develops a scientific method to extract clinically relevant new information from patient forum websites that discuss patient experiences concerning e.g. medication, nutrition, co-morbidities, genetic factors etc.
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A large-scale crop protection bioassay data set
ChEMBL is a large-scale drug discovery database containing bioactivity information primarily extracted from scientific literature.
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Franco DonatiFaculty of Science
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The writing culture of ancient Dadan; a description and quantitative analysis of linguistics variation
Fokelien Kootstra defended her thesis on 23 April 2019
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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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From detection to sentencing: a homicide case flow analysis of the Dutch criminal justice system
Homicide engenders broad moral concerns in society, and its aftermath can be understood as a barometer for criminal justice policy. Of all homicides committed, however, only some lead to arrest, to prosecution and ultimately to conviction in court.
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Interaction with sound for participatory systems and data sonification
This thesis deals with the use of sound in interactions in the context of participatory systems and data sonification. We investigate an interactive environment where participants perceive information of the data through sound elements.
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Data Atlas of Byzantine and Ottoman Material Culture
Archiving Medieval and Post-Medieval Archaeological Fieldwork Data from the Eastern Mediterranean (600-2000)
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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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Pharmaceutical-Grade Sugars and their Interference with Light Scattering-Based Analysis of Protein Formulations
PURPOSE: In the present study we investigated the root-cause of an interference signal (100-200 nm) of sugar-containing solutions in dynamic light scattering (DLS) and nanoparticle tracking analysis (NTA) and its consequences for the analysis of particles in biopharmaceutical drug products.
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Wessel KraaijFaculty of Science
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Exploring big data approaches in the context of early stage clinical
Als gevolg van de grote technologische vooruitgang in de gezondheidszorg worden in toenemende mate gegevens verzameld tijdens de uitvoering van klinische onderzoeken.
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Next generation human IPSC-derived reporter systems for image-based analysis of drug adversity
Analysis of drug adversity
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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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Data use, online consumer needs, business strategies and regulatory response
This project aims to explore and examine the factors that impact upon the efficacy of information disclosure duties pertaining to customer data use in online business.
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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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Matthijs van LeeuwenFaculty of Science
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Gerrit-Jan ZwenneFaculteit der Rechtsgeleerdheid
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Danny MekicFaculteit der Rechtsgeleerdheid
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Leiden SPSS project
Data theory research on the analysis on the multidimensional data
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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.
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Assessing the effect of cybersecurity training on End-users: A Meta-analysis
Julia Prümmer, Tommy van Steen & Bibi van den Berg evaluate the effectiveness of cybersecurity training programs for end-users.
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Transversal Democracy Projection in the Mediterranean: A De-centred Practice Analysis
This book expands on the existing literature on the international dimension of democratization by introducing the concept of democracy projection. Democracy projection is defined as the projection of (democratic) norms through the every-day practice of interactions-beyond any donor-recipient relationship-between…
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The interpretation of physical activity wearable data and its relation with metabolic and brain health in older adults
Quantifying physical activity (using accelerometers) and combining the frequency and intensity of activities with health data (brain MRI, traditional clinical parameters and metabolomics) is of utmost importance to monitor mobility and health among older individuals and study health promotion during…
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Big data cannot do without statistics
Data science and statistics are closely linked, says Spinoza laureate and Stochastics professor Aad van der Vaart. We talk with him about the big data hype, genome research and collaboration with other disciplines. ‘Statistics helps wherever data is not perfect.’
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Data Carpentry with R for Social Sciences and Humanities
Workshop
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Sander HilleFaculty of Science
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Vivi RottschäferFaculty of Science
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Data mining and algorithm development
Due to the modern techniques of combinatorial chemistry and high-throughput screening, data on the biological activity of many millions of compounds is known. However, it is still very difficult to transfer this data into knowledge: if we know that compounds A and B bind to a certain protein with high…
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EU privacy and data protection law applied to AI
On 23 April, Andreas Häuselmann defended the thesis 'EU privacy and data protection law applied to AI: unveiling the legal problems for individuals'. The doctoral research was supervised by Gerrit-Jan Zwenne and Bart Custers.
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Richard GillFaculty of Science
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Spatial patterns in landscape archaeology (publication)
In several Mediterranean regions archaeological sites have been mapped by fieldwalking surveys, producing large amounts of data. These legacy site-based survey data represent an important resource to study ancient settlement organization. Methodological procedures are necessary to cope with the limits…
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The flux and flow of data: connecting large datasets with machine learning in a drug discovery envirionment
This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…
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Preferences for risk conversations in everyday life: a conjoint analysis
This article investigates which factors most influence individuals’ decisions to engage in conversations about risk.
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Functional analysis of agrobacterium tumefaciens virulence protein VirD5
Supervisor: P.J.J. Hooykaas
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Kin Enough, article by Irene Moretti in Social Analysis
Irene Moretti published the article Kin Enough in Social Analysis, The International Journal of Anthropology.
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Water use of electricity technologies: A global meta-analysis
Understanding the water use of power production is an important step to both a sustainable energy transition and an improved understanding of water conservation measures. However, there are large differences across the literature that currently present barriers to decision making.
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Documentation and analysis of !Ora and !Ui languages
This project aims at describing the Khoisan languages !Ora (Korana/Griqua) and !Ui of South Africa.
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Constraint-Based Analysis of Business Process Models
Business Process Model and Notation (BPMN) has become the standard for business processes diagrams.
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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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Automated text analysis of policy-related documentation
Political institution (like the Council of the European Union and the European Parliament) generate large bodies of text. These great amounts of text can impossibly be read by a researcher. Contrary to human researchers, computers are able to read thousands of documents a day. In this research project…