945 search results for “multi-objective optimization” in the Public website
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Does it still hurt?
The last decades it is increasingly recognized that acute as well as chronic postoperative pain is an important problem. Treatment and prevention of postoperative pain is a challenge, especially in special patient populations where there is only limited guidance on how to optimally use opioids.
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Pulling the strings on anti-cancer immunity
Promotores: J. Jonkers, K.E. de Visser
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Plant Growth Facility
IBL researchers use the facility to study a wide range of wildtype and transgenic plants, including Arabidopsis, tomato, barley, rice, lettuce, radish, ornamentals, and various trees. Research also involves the interaction between plants and various microorganisms and insects, providing valuable insights…
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Improving robustness of tomographic reconstruction methods
Promotor: Prof.dr. K.J. Batenburg
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Discovery of BUB1 kinase inhibitors for the treatment of cancer
The spindle-assembly checkpoint (SAC) is a safety mechanism which secures accurate chromosome segregation during mitosis.
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Photocleavable activity-based acid glucosylceramidase probes
Lysosomal acid glucosylceramidase (GBA1) is a lysosomal enzyme that degrades glucolipids with its main substrate being glucosylceramide (GlcCer). Defects in the GBA1 gene lead to glycosphingolipidosis Gaucher disease (GD), in which the hydrolysis of GlcCer is impaired and therefore, it accumulates in…
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Plant BioDynamics Laboratory
The Plant BioDynamics Lab (PBDL) is a laboratory dedicated to experiments designed to develop and validate quantitative mathematical models of dynamical processes in biology. The principal objective of developing these models is to make quantitative predictions about these processes.
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The Oxford Handbook of Morphological Theory
Edited by linguists Jenny Audring (Leiden University) and Francesca Masini (University of Bologna), this is a unique handbook with a focus on morphology theories rather than morphological data. It covers a wide array of morphological theories, from traditional twentieth century models to current theoretical…
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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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Surface-structure dependence of water-related adsorbates on platinum
Promotor: M.T.M. Koper, Co-promotor: J.B.F. Juurlink
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Systems diagnosis in chronic disease: prediction and evaluation
Promotor: J. van der Greef, T. Hankemeier; Co-promotor: H.A. van Wietmarschen
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Flat but not shallow. Towards flatter representations in deep semantic parsing for precise and feasible inferencing
Simulating human language understanding on the computer is a great challenge. A way to approach it is to represent natural language meanings in logic, and to use logical provers to determine what does and does not follow from a text. What logic is best to use and how natural language meanings are best…
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European strategic autonomy as a double-edged sword? US perspectives in an Era of Sino-American competition
Linde Desmaele explores how the United States is recalibrating its stance on European unity amid growing strategic competition with China.
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Intradermal delivery of nanoparticulate vaccines using coated and hollow microneedles
In summary, the collective results described in this thesis show that nanoparticulate vaccines can be delivered intradermally by coated and hollow microneedles and evoke antigen-specific immune responses.
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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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Systemic Accountability of the European Border and Coast Guard
On 11 November 2021, Mariana Gkliati defended the thesis 'Systemic Accountability of the European Border and Coast Guard'. The doctoral research was supervised by Prof. P. Rodrigues and Prof. L. Besselink (UvA).
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Pascal chair at LIACS
The Leiden Institute of Advanced Computer Science (LIACS) of Leiden University proudly establishes the Blaise Pascal chair. The chair applies for one year and is meant to strengthen the cooperation of the Leiden computer science research with foreign institutes.
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Pharmacogenomics in drug development: implementation and application of PKPD model based approaches
Promotor: Prof.dr. M. Danhof, Co-Promotor: J. de Jongh
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Expanding the coverage of ecosystem services in life cycle assessment: an interdisciplinary venture
To contribute to the body of knowledge aiming at a better coverage of ecosystem service assessment in LCA studies, this thesis dives into the challenges of incorporating existing ecosystem service methods within the impact assessment phase of the conventional LCA framework.
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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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ALL-IN meta-analysis
Science is typically a patchwork of research contributions without much coordination. Especially in clinical trials, the follow-up studies that we do fail to be the most promising.
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Advancing the LeiCNS-PK3.0 model for prediction of CNS Pharmacokinetics Nonlinear BBB Transport, Inter-species Scaling, and Machine Learning
This thesis focuses on enhancing predictions of central nervous system drug exposure using the LeiCNS-PK3.0, a physiologically based pharmacokinetic model.
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A community computational challenge to predict the activity of pairs of compounds
Source: Nat Biotechnol, Volume 32, Issue 12, pp. 1213-22 (2014)
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Exploration of the endocannabinoid system using metabolomics
To increase clinical success rate of drugs, a better understanding of drug action mechanism and disease dynamics is required. Metabolomics, which studies small molecules involved in biochemical processes in organisms, has shown to be a useful tool for this better understanding.
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Public perception of terrorism attacks: A conjoint experiment
This article researches the public perception of terrorist attacks by measuring the importance the public assigns to attributes of terrorist attacks.
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Ruthenium-peptide conjugates for targeted phototherapy
As leading cause of death worldwide, cancer is responsible for nearly 10 million deaths in 2020 according to World Health Organization (WHO). Cisplatin and its derivatives are commonly used chemotherapy agents for current cancer treatment in the clinics.
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Key publications
Key publications of the Biologics Formulation group
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News in a Glasshouse: Media, Publics, and Senses of Belonging in the Dutch Caribbean
On the 23d of May, Sanne Rotmeijer successfully defended a doctoral thesis. The Leiden University Centre for Linguistics congratulates Sanne on this achievement!
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Frontiers of Nanoscience (NanoFront)
Can we make quantum devices from quantum surprises? And can we explore and build life from the nanoscale up?
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The electrode-electrolyte interface in CO2 reduction and H2 evolution: a multiscale approach
Electrocatalysis allows for storing electricity or converting it into chemical bonds, producing chemical building blocks and fuels using renewable resources.
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Cavities for light and sound: a cavity-enhanced platform for quantum acoustics
Surface acoustic waves (SAWs) are mechanical waves that travel along the surface of a material and find many applications in modern technologies due to the ease of excitation on piezoelectric substrates via interdigital transducers (IDTs).
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Research
Central elements in the research activities of all programme group members are: attachment, sensitive caregiving, and prevention and intervention.
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Visualizing strongly-correlated electrons with a novel scanning tunneling microscope
Materials with strongly correlated electrons show some of the most mysterious and exotic phases of quantum matter, such as unconventional superconductivity, quantum criticality and strange metal phase.
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Segments and rules: a comparative study into the computational mechanisms underlying language acquisition
In this project we study the properties of statistical- and rule-learning mechanisms in relation to the acquisition and evolution of language. We ask to what extent these mechanisms are unique to humans - or to human language - by comparing the acquisition of vocal structure in two species: humans (infants)…
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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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Dosing considerations for preterm neonates: from pharmacometrics to clinical practice
Prematurely born neonates require, amongst others, pharmaceutical therapy. Dosing guidelines for these therapies are often based on data from term born neonates or older infants, while these are not necessarily similar to prematurely born neonates.
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Mass Spectrometry-Based Degradomics Analysis of Toxoid Vaccines
The chemical and structural heterogeneity of toxoid vaccines makes their analysis challenging. However, detailed insights on a molecular level can be obtained by mass spectrometry.
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HomininSpace – a large scale simulation system for hominins in the past
HomininSpace is an agent based modelling and simulation system in which fluctuating carrying capacity is the key attractor for hominin dispersal. A parameterized and spatially explicit reconstructed palaeo-environment models available energy in the form of secondary biomass using reconstructed climate…
- Jordi Tura Group (Applied Quantum Algorithms)
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Statistical methods for microarray data
Promotores: J.C. van Houwelingen, S.A. van de Geer
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A study on PsbS and its role as a pH sensor
Solar energy harnessed by plants and algae has great potential to be converted into biofuels for future generations.
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Chemical Tools to Illuminate N-acylphosphatidylethanolamine Biosynthesis
This thesis describes the development and optimization of the first molecular tools to study the enzyme PLA2G4E.
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Intermediate assessment in higher education
In higher education intermediate assessment is used in different ways. In her PhD research Indira Day shows that lecturers should be able to continue to have the freedom to use various test forms, because not one type of test is optimal.
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Solid Bioneedle-Delivered Influenza Vaccines Are Highly Thermostable and Induce Both Humoral and Cellular Immune Responses
The potential of bioneedles to deliver influenza vaccines was investigated.
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Improved Strategies for Distance 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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Vaccination and Targeted Therapy Using Liposomes; Opportunities for Treatment of Atherosclerosis and Cancer
This thesis focuses on using liposomes in two different treatment strategies; vaccination (or immunotherapy) and delivery of a small molecule, and in two different disease models; cancer and atherosclerosis.
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Robust rules for prediction and description.
In this work, we attempt to answer the question:
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Vaccination against atherosclerosis; induction of protective CD8 T-cells through immunization
Atherosclerosis, in particular rupture of atherosclerotic plaques, is the underlying cause of most heart attacks or strokes and is the leading cause of death worldwide.
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Strategies for braiding and ground state preparation in digital quantum hardware
With the help of quantum mechanics, digital quantum hardware may be able to tackle some of the problems that are too difficult for ordinary computers. But despite these expectations and the ongoing effort of the research community, reliable quantum computers are not yet realized in a lab setting.
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AI Labs
AI Labs are collaborations of Leiden University with external parties such as industry, governmental parties and other universities on the topic of Artificial Intelligence. The Science institutes of Leiden University are unique located in the largest Bioscience Park of the Netherlands, next door to…