362 search results for “random wang” in the Public website
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e-Coach: Tailored cognitive-behavioral e-Health care for patients with chronic somatic conditions
The major aim is to develop, evaluate, and implement disease-generic cognitive-behavioral interventions through the internet in order to optimize tailored health care for patients with chronic somatic conditions.
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Combining classic and novel tools in the study of Historical Collections of Chinese Materia Medica in the Netherlands
Chinese materia medica (CMM), comprising a diverse array of natural substances from plants, animals, and minerals, has been integral to Traditional Chinese Medicine (TCM) throughout history. This study investigates the dynamic evolution of CMM, noting shifts in species for improved therapeutic effects…
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Model-assisted robust optimization for continuous black-box problems
Uncertainty and noise are frequently-encountered obstacles in real-world applications of numerical optimization. The practice of optimization that deals with uncertainties and noise is commonly referred to as robust optimization.
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Greater China Region Group
The Greater China Region Group develops and monitors Leiden University's cooperation with China.
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The SMILE study: Sleep Mood lntervention: Live Effectively a group intervention in students with sleep problems
Can SMILE, our multi-component intervention, which combines cognitive-behavioural therapy for insomnia, mindfulness, stress, and lifestyle components, improve sleep quality? Can it also improve mood and quality of life and prevent depression and anxiety in the long term?
- About this minor
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Cosmologists propose new way to form primordial black holes
What is dark matter? How do supermassive black holes form? ‘Primordial’ black holes might hold the answer to these long-standing questions. Leiden and Chinese cosmologists have identified a new way in which these hypothetical objects could be produced just after the Big Bang. Publication in Physical…
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Dancing with the Stars
This thesis develops a method for direction dependent calibration of the ionosphere in radio interferometric data.
- Extracts
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A dyadic method to investigate voting behaviour in the council of the European Union
This article presents a new dyadic approach to studying voting behaviour in the Council of the European Union.
- LIAS China Seminar
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Trends in social assistance, minimum income benefits and income polarization in an international perspective
Social assistance and minimum income benefits are important instruments as a safeguard against low income and poverty. There have been major developments in minimum income benefits both in developed and developing countries over the last decades. Our study collects several empirical studies regarding…
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The Impact of Digital Educational Resources on Teachers and Teaching in Rural China
What are the impacts of digital educational resources on rural teachers and their teaching in China?
- Meet our staff
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Epilepsy and anxiety: targeting a vicious cycle
How effective is eye movement desensitization and reprocessing therapy in targeting epilepsy-related anxiety?
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Controlling anxiety in late life (CALL)
Primary Objective: The primary aim of the proposed RCT is to evaluate whether LF-TLP in blended form as an indicated prevention for anxiety complaints is more (cost-) effective than TAU according to the NHG guideline Anxiety. We hypothesize that in comparison to TAU, LF-TLP will result in a significantly…
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Neurobiological and Environmental Determinants of Parenting and Child Development
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The evolution of Chinese industrial CO2 emissions 2000–2050: A review and meta-analysis of historical drivers, projections and policy goals
The emissions of the Chinese industrial sector alone comprise 24.1% of global emissions (7.8 GtCyr−1 in 2015). This makes Chinese industrial emissions of unique national and international relevance in climate policy. This study reports a literature survey that quantitatively describes the evolution…
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From Benchmarking Optimization Heuristics to Dynamic Algorithm Configuration
For optimization problems, it is often unclear how to choose the most appropriate optimization algorithm. As such, rigorous benchmarking practices are critical to ensure we can gain as much insight into the strengths and weaknesses of these types of algorithms.
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Social network and radical innovation: evidence from the U.S. pharmaceutical and biotechnology industry
Innovation plays an essential role in firms' competitiveness and long-term success. It varies from different types, ranging from run-of-the-mill innovation that brings incremental changes to existing technologies to radical innovation that breaks from existing trajectories.
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Benchmarking Discrete Optimization Heuristics
This thesis involves three topics: benchmarking discrete optimization algorithms, empirical analyses of evolutionary computation, and automatic algorithm configuration.
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Essays on trends in income distribution and redistribution in affluent countries and China
Over the last decades, income inequality has increased globally. How do social policies affect this increasing trend? How do international trade and technological progress affect inequality? What is the profile of income inequality in China?
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Second Language Acquisition
Research combining a conceptual and practical perspective within the field of teaching and learning second languages.
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Interkingdom Signaling between Bacillus subtilis and Sporisorium scitamineum
Exploiting the Ecological Role of Natural Products as Novel Biocontrol Agents (LIPQUORUM): The central aim of LIPQUORUM is to unravel the intricate interkingdom signaling mechanisms between the Bacillus subtilis species complex and the devastating fungal pathogen Sporisorium scitamineum.
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Open label placebo for itch
Positive expectations can influence sensations of itch and evoke placebo effects, whereas negative expectations can trigger nocebo effects in itch. There is evidence that placebo effects can occur even when people know that they are taking a placebo. Little is known about how these so-called open-label…
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Kraft Lab - Self-assembly in Biological and Soft Matter
Research in the Daniela Kraft Lab focuses on self-assembly in biological and soft matter systems, ranging from anisotropic colloidal particles to lipid membranes, emulsions, and viruses.
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Key publications
Key publications of the Quantitative Clinical Pharmacology group
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Quantitative Particle Tracking
Brownian motion is the random motion of (colloidal) particles due to collisions with the atoms and molecules of the solvents, which are moving due to temperature.
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Insights from scanning tunneling microscopy experiments into correlated electron systems
This thesis presents insights from our study of various correlated electron systems with a scanning tunneling microscope (STM). In ordinary metals, electron-electron interactions exist, but get substantially screened due to the sheer number of electrons.
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Analysis and Stochastics
The research of the Applied Mathematics cluster is concerned with such diverse topics as dynamical systems, representation theory, differential equations and pattern recognition.
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Events in Probability
Seminars, conferences, and events you might be interested in:
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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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Bayes and Networks
Promotor: A.W. van der Vaart
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Diagnosis and treatment of obese children with insulin resistance
Promotors: C.A.J. Knibbe, Anthonius de Boer, Co-promotor: M.M.J. van der Vorst
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Growth-induced self-organization in bacterial colonies
Mechanical forces are known to play an important role in bacterial colonies. In this dissertation, we study the self-organization at various stages of growing bacterial colonies, and focus on the mechanical effects of cell growth.
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About LCN2
Mission statement
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Pharmacological resting-state fMRI in aging and dementia
How can we implement the technique of pharmacological resting-state fMRI to improve the diagnosis of dementia?
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On electronic signatures of topological superconductivity
Promotor: Prof.dr. C.W.J. Beenakker
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Algorithms for analyzing and mining real-world graphs
Promotor: Prof.dr. J.N. Kok, Co-Promotor: W.A. Kosters
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Scattering and absorption in 2D optics
Scattering of light in the presence of nano-structured materials, i.e. with features in the order of the wavelength of the light or smaller, reveals details of how light interacts with matter at the nanoscale.
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The anthropological signification of the ‘Man with No Breath’ in Visayas and Mindanao epics
This paper explores the long-term endurance of “breath” as a schema of personhood in the Austronesian-speaking world, from a comparative-ethnographic approach to the “Man with No Breath” figure featured in Philippine epics. This is one of two contributions from Myfel D. Paluga and Andrea Malaya M.…
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Machine learning for radio galaxy morphology analysis
We explored how to morphologically classify well-resolved jetted radio-loud active galactic nuclei (RLAGN) in the LOw Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) using machine learning.
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LCN2 Seminars
A monthly seminar on complex networks, aimed at scientists from all disciplines.
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What Works in Preventing Emerging Social Anxiety: Exposure, Cognitive Restructuring, or a Combination?
Programs that aim to reduce symptoms of social anxiety in children generally include multiple components, such as exposure and cognitive restructuring. It is unknown if separate components yield positive intervention effects in children or whether a combination of components is required.
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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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Steady-State Analysis of Large Scale Systems
Promotor: W.Th.F. den Hollander Co-Promotor: F.M. Spieksma
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Risk bounds for deep learning
In this thesis, deep learning is studied from a statistical perspective. Convergence rates for the worst case risk bounds of neural network estimators are obtained in the classification, density estimation and linear regression model.
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Dutch Extract Library
Natural product library for high throughput screening.
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Numismatics in Leiden: more than two sides to the same coin
Numismatic research of Roman coin hoards in the Netherlands. The use of numismatic sources is incorporated in Claes’s research project “Dialogues of Power”. This project aims to analyse the legitimising dialogue between Roman emperors and their Germanic legions during the so-called “crisis of the third…
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Cardiovascular Pharmacology
The Cardiovascular Pharmacology research group headed by Ilze Bot aims to elucidate the mechanisms that underlie atherosclerotic plaque destabilization, which is the key process that leads to acute cardiovascular syndromes such as a myocardial infarction or stroke.