1,051 search results for “networks modelling” in the Public website
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Young Liveable Planet Network
Are you a young researcher at Leiden University doing research on sustainability topics? Or are you part of the support staff and passionate about sustainability? Then we are looking for you!
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Modeling energy conversion dynamics at interfaces
Chemical reactions go hand-in-hand with an energy exchange with the environment in which they take place. Surfaces offer a variety of energy dissipation channels, constituted by the nuclear and electronic degrees of freedom of the atoms at the interface. Aiming at an improved future harvesting of energy,…
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Quantitative systems pharmacology modeling of biotherapeutics in oncology
In this thesis, mathematical modeling and simulation was applied as a tool to inform quantitative decision making in oncology drug discovery and development.
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textnets: A Python package for text analysis with networks
With textnets it is possible to visualize and analyze textual data in novel ways.
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Spatiotemporal building stock modeling for residential decarbonization in the Netherlands
Decarbonizing the building stock is critical for realizing the climate-neutral target for the Netherlands.
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In the hands of a few: Disaster recovery committee networks
This study examines recovery planning committees across Japan's Tohoku region.
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Regulatory networks in Streptomyces
We aim to unravel the complex and intertwining regulatory systems that control development and antibiotic production in streptomycetes.
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The LeiCNS-PK3.0 model development and applications: healthy-to-diseased CNS pharmacokinetic translation
Accurate prediction of the unbound drug concentration-time profile at the CNS target site is crucial for the assessment of the right drug concentration-effect relationship. PBPK models have supported the PK prediction of the CNS target sites and the translation of PK data between species and between…
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in special populations: towards semi-physiological pharmacokinetic models
Promotor: M. Danhof, Co-promotores: J. Freijer, A. Yassen
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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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and tissue dynamics with cell fate decisions through computational modeling
There is a need for alternative methods to replace, reduce and refine (3R) animal experimentation. Combining experimental data from high-throughput in vitro studies with in silico modeling is a promising approach to unravel the effect of chemicals on living cells and to gain a better understanding of…
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Stochastic resetting and hierarchical synchronisation
Stochastic resetting is simple enough to be approached analytically, yet modifies stochastic processes in a non-trivial way.
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quantification 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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Network analysis reveals unexpected societal patterns
Thanks to data science, we can chart and search enormous quantities of related information. This generates all kinds of new insights, for example in complex global financial structures or such societal problems as loneliness.
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Accurate modeling of the dynamics of dissociative chemisorption on metal surfaces
Fundamental understanding of molecular reactions on metal surfaces is important for improving heterogeneous catalysis.
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Data-Driven Risk Assessment in Infrastructure Networks
Leiden University and the Ministry of Infrastructure and Water Management are involved in a collaboration in the form of a research project titled 'Data-Driven Risk Assessment in Infrastructure Networks'.
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Crafting networks in early farming societies
Tracing the residues of Neolithic activities through the study of stone artefacts
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Bayesian uncertainty quantication in complex models
The aim of this project is to determine in which cases uncertainty statements resulting from a Bayesian statistical analysis can be trusted.
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information and variational Bayes in high dimensional statistical network inference
This thesis develops statistical methods for the analysis of high dimensional data: high dimensional networks reconstruction (Chapters 1-4), incorporation of prior information in networks reconstruction (Chapters 2-4), incorporation of prior knowledge in genetic association studies (Chapter 3).
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Sarita Koendjbiharie
Faculty of Humanities
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Networks and cooperations
Both on a personal and institutional level, the staff of Leiden CADS collaborates with:
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Frank Takes
Science
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Computational modeling of mycobacterium infection and innate immune reponse in zebrafish
Promotor: Prof.dr. J.N. Kok
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Modeling interstellar bubbles: near and far
Promotor: Prof. dr. A.G.G.M. Tielens
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Circular Economy Modelling for Climate Change Mitigation (CIRCOMOD)
How might we include circularity into the models often used in IPCC reporting (in technical language, how can IAMs, dMFA models and CGE models be integrated?) What are possible futures for global resource use and what are the consequences for greenhouse gas emissions in these scenarios?
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Optimally weighted ensembles of surrogate models for sequential parameter optimization
It is a common technique in global optimization with expensive black-box functions to learn a surrogate-model of the response function from past evaluations and use it to decide on the location of future evaluations.
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mammalian cyclooxygenase inhibitors with ensemble proteochemometric modeling
Source: J Cheminform, Volume 7, Issue 1 (2015)
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Development of Generalized Squared Distance Logistic Model (GSDLM).
The objective of this project is the development of a new psychometric model, called the Generalized Squared Distance Logistic Model (GSDLM). This model is an evolution of older psychometric approaches (such as PARELLA, GHCM, and GGUM) and the Gaussian Ordination Models (GOMs) used in environmental…
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Better Predictions when Models are Wrong or Underspecified
Promotor: P.D. Grünwald
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The parabolic Anderson model and long-range percolation
Promotor: Prof.dr. F. den Hollander
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Control theory methods for quantitative systems pharmacology models
Following their application to system biological models, control theory techniques have further potential to aid in the understanding and application of quantitative systems pharmacology models.
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PUPOL: Academic Network Public and Political Leadership
Researchers of the Leiden Leadership Centre are active members of the PUPOL network. PUPOL is an international academic network for public and political leadership which fosters exchange of ideas and inspires collaborative research among scholars focusing on the role of leadership in the public and…
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Development of innovative engineered models for viral diseases
A main goal of MSBB research is to address the major bottle-necks in combatting viral diseases: the lack of experimental models that are representative of human pathology and are cost effective and versatile. Viral diseases such as those that cause viral hemorrhagic syndromes or severe acute respiratory…
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Microscopy and Spectroscopy on Model Catalysts in Gas Environments
In surface science there is great effort to move from studying simple, flat model surfaces in vacuum to investigating more complex model catalysts in gas environments (in situ). This thesis gives three examples of such studies using microscopy and spectroscopy.
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ANO-NET: Anonymity in Complex Networks
This project develops methods for ensuring the anonymity of individuals in social network data.
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Population-Scale Network Analysis (POPNET)
A research data infrastructure in computational social science
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Development of Quantitative Nanostructure Activity Relationship (QNAR) Models Predicting the Toxicity of Metal-based Nanoparticles to Aquatic Species
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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Highly sensitive analysis using 3D cell culture model
A research goal for ABS is to develop miniaturized platforms for research in (stem)cell, in-vitro systems and application in clinical and preventive research. Combined with the high throughput, this development will make it possible to study the dynamics of pathogenesis in human and cellular models…
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The Active Learning Network & Saltswat Pilot Program
2 joint initiatives began in 2019 which attempt to connect the various efforts around active learning at Leiden University: the active learning network, and the Saltswat project.
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Brain networks and the initial stages of dementia
Dementia is a progressive disease, diagnosed at a relatively late stage when intervention may not be effective. Aim of the research is to study scans of brain networks to help discover the early network changes related to dementia. Early diagnosis may benefit effectiveness of future treatment.
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Proteochemometric modelling coupled to in silico target prediction
An integrated approach for the simultaneous prediction of polypharmacology and binding affinity/potency of small molecules.
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Real-time foresight: preparedness for dynamic innovation networks
Promotor: H.J. van den Herik, B.R. Katzy, Co-promotor: K. Sailer
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Knowledge extraction in the quantum random-oracle model
The aim of this thesis is to present novel techniques for proving cryptographic schemes secure against quantum adversaries. Most results are within the context of an idealized model called the ‘quantum random-oracle model’.
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Enriching official economic statistics using data-driven modelling techniques
Netherlands Statistics (CBS), Leiden University and the University of Amsterdam have started a collaboration in the form of a research project titled 'Enriching official economic statistics using data-driven modelling techniques'.
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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…
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‘Ūd Taqsīm as a Model of Pre-Composition
In this research project Rohana analyzes and reflects on taqsīm recordings by two leading figures of ‘ūd playing who were pillars of modern Arabic music, namely the Egyptians Muḥammad al-Qaṣabjī (1898-1964) and Riyāḍ al-Sunbāṭī (1906-1981).
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A recipe for desert: analysis of an extended Klausmeier model
Promotores: Arjen Doelman, Jens Rademacher, Max Rietkerk
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Minipigs as an Animal Model for Dermal Vaccine Delivery
Appropriate animal models for intradermal vaccine delivery are scarce. Given the high similarity of their skin anatomy to that of humans, minipigs may be a suitable model for dermal vaccine delivery.
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The parabolic Anderson model on Galton-Watson trees
The parabolic Anderson model (PAM), which is the Cauchy problem for the heat equation with random potential. The PAM is a mathematical model that describes how mass (i.e. matter or energy) flows in a medium in the presence of a field of sources and sinks.
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Tracing Prehistoric Social Networks through Technology
A Diachronic Perspective on the Aegean