1,760 zoekresultaten voor “effective data development” in de Publieke website
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Data-driven Predictive Maintenance and Time-Series Applications
Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.
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Sex effects on development of brain structure and executive functions: Greater variance than mean effects
In dit onderzoek wordt hersenontwikkeling voor het eerst direct gelinkt aan sekseverschillen en schoolprestatie. De resultaten ontkrachten de mythe dat jongens achterlopen in hersenontwikkeling.
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reflective functioning: Influence on parenting practices and the early development of externalizing behavior
Het terugdringen van agressie is in de afgelopen jaren in toenemende mate een maatschappelijke prioriteit geworden. Agressie in de vroege kindertijd vergroot de kans op latere agressieproblemen en antisociaal gedrag.
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Design and development of conformational inhibitors and activity-based probes for retaining glycosidases
Glycosidases are essential in fundamental biological processes and are responsible for the degradation of most (oligo)saccharides, glycolipids and glycoproteins.
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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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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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Play by the rules? : coordination of EU sustainable development policies and the importance of the politico-legal context
There is an increasing amount of attention on EU and its Member States contributions to implementation of two landmark agreements: the Paris Climate Agreement and the UN Agenda 2030 with Sustainable Development Goals (SDGs). Absent from the current literature is an analysis of the political effect of…
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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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of growth hormone secretion : application of model-informed drug development in acromegaly
Growth hormone profiles are pulsatile and highly variable between individuals, limiting the implementation of mathemathical models to quantify an individual's secretion.
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Development of a Kidney-on-a-Chip Model for Compound Screening and Transport Studies
Pharmaceutical companies, governments and the general public have become increasingly aware that animal models used in drug testing lack vital aspects to serve as an accurate representation of human biology. As models of the human body should become more physiologically relevant, animal models no longer…
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Development of Quantitative Nanostructure Activity Relationship (QNAR) Models Predicting the Toxicity of Metal-based Nanoparticles to Aquatic
Describe and identify what dosimetry parameters are of importance to interpret dose-response relationships (eg., mortality, sub-lethal, growth or reproduction inhabitation, DNA damage and reactive oxygen species, etc. ) for metal-based nanoparticles? How to develop quantitative models that enable to…
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Emotions and the psychosocial development of children with and without Developmental Language Disorder
Emoties en de psychosociale ontwikkeling van kinderen met en zonder Taal Ontwikkelingsstoornis
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Development of novel anti-cancer strategies utilizing the zebrafish xenograft model
In this thesis, we will utilize embryonic zebrafish tumour models to understand the interaction between engrafted human cancer cells and macrophages from the host, test drug administration modalities and anti-cancer efficacies of newly-developed PDT and PACT compounds, and test a light-triggered liposomal…
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Conceptualisation of the Rule of Law in its External Relations: Case Studies on Development Cooperation and Enlargement
Op 26 juni 2019 verdedigde Lisa Louwerse haar proefschrift 'The EU’s Conceptualisation of the Rule of Law in its External Relations: Case Studies on Development Cooperation and Enlargement'. Het promotieonderzoek is begeleid door promotor prof. mr. C.A.P. Hillion.
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Van data naar een ACTieve levensstijl voor rolstoelgebruikers (D-ACT-Wheel)
Het e-platform Virtuagym geschikt maken voor rolstoelgebruikers met een dwarslaesie of beenamputatie.
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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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Ymke de Bruijn
Faculteit Governance and Global Affairs
y.de.bruijn@fgga.leidenuniv.nl | +31 70 800 9503
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Designing Data protection law: hebben we een beter idee?
Wat is een goede wetgeving inzake gegevensbescherming? Hoe kan een dergelijke wetgeving goed worden ontwikkeld? Is de Europese wetgeving hierover adequaat, en is deze toepasbaar in China?
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Promovendus Development and testing of educational interventions within a digital context
Sociale Wetenschappen, Pedagogische Wetenschappen
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EU Personal Data Protection in Policy and Practice
Hoewel de Algemene Verordening Gegevensbescherming (AVG) vanaf mei 2018 de bescherming van persoonsgegevens in de hele EU harmoniseert, resulteren de open normen ervan in combinatie met culturele verschillen tussen landen in verschillen in de praktische implementatie, interpretatie en handhaving van…
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Regulation of the arabidopsis AGC kinase PINOID by PDK1 and the microtubule cytoskeleton
Plants, are sessile organisms, have developed strategies to adapt to changes in their environment, in part by altering their growth and development.
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Data-geïnformeerd werken in het voortgezet onderwijs
Dit onderzoek richt zich op het proces waarmee docenten eigen lespraktijk stapsgewijs kunnen aanpassen in de richting van activerende didactiek en gedifferentieerd onderwijs.
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Prestigieuze Edinburgh Medal voor 'Astronomy for Development'
De Edinburgh Medal 2016 is uitgereikt aan zowel Kevin Govender van de Office of Astronomy for Development (OAD) als de International Astronomical Union (IAU). De prijs is een erkenning voor het wereldwijd bevorderen van onderwijs en technologie door middel van sterrenkunde. Het programma is het geesteskind…
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induction programs on beginning teachers'well-being and professional development
Dit proefschrift gaat over de invloed van inductieprogramma’s op het welbevinden en de professionele ontwikkeling van beginnende docenten, en welke specifieke kenmerken van inductieprogramma’s daarvoor belangrijk zijn. Hiernaar is onderzoek gedaan met een interviewstudie en een grootschalige vragenl…
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Reverse engineering of drug induced QT(c) interval prolongation: Towards a systems pharmacology approach
Promotor: M. Danhof Co-promotor: O.E. Della Pasqua
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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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Based Clustering of Objects on Subsets of Attributes in High-Dimensional Data
This monograph focuses on clustering of objects in high-dimensional data, given the restriction that the objects do not cluster on all the attributes, not even on a single subset of attributes, but often on different subsets of attributes in the data.
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Big Data in ontwikkelings- en humanitaire hulp: een volgende stap in het privacydebat
Hoe kan ‘Big Data’ worden ingezet bij ontwikkelings- en humanitaire hulp en wat zijn de risico’s daarvan? De Universiteit Leiden en United Nation’s Global Pulse organiseren hierover op 23 oktober in Den Haag een internationale expert meeting.
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actinobacterial cell wall in antibiotic resistance, phylogeny and development
Streptomyces are multicellular, Gram-positive bacteria in the phylum of actinobacteria which produce a high amount of bioactive natural products of which the expression is tightly coordinated with the life cycle.
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Knowledge development of secondary school L1 teachers on concept-context rich education in an action-research setting
In deze studie wordt verslag gedaan van een onderzoek naar de ontwikkeling van de praktijkkennis bij elf docenten Nederlands. Zij ontwikkelden en implementeerden concept-contextrijk onderwijs met behulp van actieonderzoek.
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Development and application of cryo-EM tools to study the ultrastructure of microbes in changing environments
Cryogenic electron microscopy (cryo-EM) is a powerful technique used to visualize the inside of cells and to study specific protein complexes. Within this thesis, I describe the use of various cryo-EM techniques to gain insight into the structural changes of the human pathogen, Vibrio cholerae, as it…
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Reverse engineering the role of tip cells and pericytes in vascular development
Promotor: Prof.dr. R.M.H. Merks
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Data Science in Digital Health in Oeganda
Op 27 februari 2019 was Kampala International University (KIU) de locatie van de conferentie ‘Digital Health and Development in Data Science in Uganda’. Professor Mirjam van Reisen van het Leiden Centre of Data Science was een van de hoofdsprekers.
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rechtvaardigheid' tijdens de Toogdag van het onderzoeksprogramma Effective Protection of Fundamental Rights
Op vrijdag 22 maart hield het onderzoeksprogramma ‘Effective Protection of Fundamental Rights’ (effectieve bescherming van fundamentele rechten) hun jaarlijkse Toogdag in het Gravensteen. Het thema van de Toogdag was ‘Het concept van rechtvaardigheid in oorlogstijd: de situaties in Gaza, Zuid-Soedan…
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Modelling the dynamics of the innovation process: a data-driven agent-based approach
Promotor: Prof.dr. B.R. Katzy
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Selective autophagy in host defense against mycobacterial infection
The effective treatment of tuberculosis (TB) remains a major challenge to global health.
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Development of a low cost technology for in-situ treatment of groundwater for potable and irrigation purposes (TiPOT)
Description of Development of a low cost technology for in-situ treatment of groundwater for potable and irrigation purposes (TiPOT) (2004 - 2007)
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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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Sports and data analytics: discovering the unknown known
The combination of data science and sports is a hot topic. In a talk during the opening of the Academic Year at the Faculty of Science, Professor Joost Kok explained what data analytics can teach us about sports.
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Sport Data Center
Sport Data Center
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Synthetic carbohydrate ligands for immune receptors
One of the main challenges in the development of an effective anti-cancer vaccine is the generation of an adequate and directed cellular immune response.
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VODAN Africa - FAIR Covid-19 data in Afrika en Azië
VODAN Africa is begonnen als een platform om toegang te bieden tot kritieke data die Afrika nodig heeft om de nieuwe COVID-19 te bestrijden. Het initiatief werd geïnspireerd door de ervaring met de uitbraak van het ebolavirus in Liberia in 2014: vroege opsporing vereist tracering van contacten. Het…
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Transforming data into knowledge for intelligent decision-making in early drug discovery
Promotor: A.P.IJzerman Co-promotor: A. Bender
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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.
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Gregory receives Veni grant for research on the sustainability of open data infrastructures
Data about COVID-19 were everywhere during the pandemic, but how will all this data continue to be managed and kept open so that it is usable in the future? We spoke with Kathleen Gregory, researcher at the Centre for Science and Technology Studies (CWTS), who will study this question in a new project…
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Cleared for take-off, Game-based learning to prepare airline pilots for critical situations
Over the last decades, aviation safety has improved strongly. As a downside, airline pilots do not have as many opportunities to develop through experience the competencies that they need in critical situations.
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Automated machine learning for dynamic energy management using time-series data
Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…
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Van gevoel naar data
Nederland wint al jaren de meeste medailles bij schaatsen op de Olympische Spelen. Hoe ze dat doen? Op gevoel. Bewegingswetenschapper Jeroen van der Eb van de Data Mining & Sports groep van het Leiden Institute of Advanced Computer Science (LIACS) wil dat schaatsers hun schaatsen afstellen op basis…
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Verantwoorde en transparante data science
In bijna elk wetenschappelijk vakgebied wordt gebruik gemaakt van data science. Dat biedt vele nieuwe mogelijkheden, maar ook nieuwe dilemma’s. Daarom vindt op 5 maart het symposium ‘Fairness and Transparency, towards responsible data science’ plaats. Hoofdspreker Ricardo Baeza-Yates licht een tipje…
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Teachers' use of progress data in planning and evaluating instruction for students with learning disabilities
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