914 search results for “learning problems and impairments” in the Public website
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Zijian Li
Faculteit der Sociale Wetenschappen
z.li.20@fsw.leidenuniv.nl | +31 71 527 2727
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Shannon Yuen
Faculteit der Sociale Wetenschappen
s.yuen@fsw.leidenuniv.nl | +31 71 527 2727
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Probing complex problems
Issues such as climate change, the depletion of natural resources or social inequality are too complex to be addressed from a single scientific discipline or by a single country. Leiden University has the expertise to bring the resolution of these enormous problems a small step closer.
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Stefanie van Goozen
Faculteit der Sociale Wetenschappen
goozenshmvan@fsw.leidenuniv.nl | +31 71 527 NVT
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The migrant problem
The current migration flow into Europa demands effective measures. Leiden experts examine whether these measures are legal and hold up a mirror to policy-makers.
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Tailored care for children at high risk for problem behaviour
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Learning by Doing in Journalism
Students at Leiden University College (LUC) gain an understanding of journalism ‘from the inside out’ through innovative teaching methods in the courses Multimedia Journalism, Investigative Journalism and Gender, Media and Conflict. By simulating the actual daily tasks of journalists, they are exposed…
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Counting problems for number rings
Promotor: H.W. Lenstra
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Teachers’ professional learning preferences
How do secondary school teachers’ professional learning preferences relate to teaching experience and the school context?
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Solving multiplication and division problems
Latent variable modeling of students' solution strategies and performance
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Learning labs in conservatoire education
Music profession requires strong reflective, collaborative, creative and improvisational skills, yet prevailing one-to-one tuition in conservatoire education focuses mainly on transmission of craft skills. Examining effects of students' collaborative and experiential learning, as in learning labs, creates…
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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?
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Computational speedups and learning separations in quantum machine learning
This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…
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Inverse problems for universal deformation rings of group representations
Promotor: P. Stevenhagen, Co-promotores: B. de Smit, F. Andreatta
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progress data in planning and evaluating instruction for students with learning disabilities
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Massively collaborative machine learning
Promotor: J. N. Kok, Co-promotor: A. J. Knobbe
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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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Understanding the complexity of intelligence problems
The complexity of an intelligence problem determines to a great extent the certainty that can be provided by intelligence and security services.
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efficacy of digitized storybooks for young learners with attention problems
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Cell-autonomous and host-dependent CXCR4 signaling in cancer metastasis: insights from a zebrafish xenograft model
Promotor: A.H. Meijer, Co-promotor: B.E. Snaar-Jagalska
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Nonverbal Learning Disorder (NLD)
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Topic: Self-management in chronic diseases
Having a chronic somatic condition can result in a variety of impairments in patients’ daily lives, including not only physical complaints such as pain, itch, and fatigue, but also problems of negative mood and impairments in social relationships. Next to disease characteristics, individual difference…
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The gravitational billion body problem
Promotor: Prof.dr. S. Portegies Zwart
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More efficient learning thanks to sleep
Young children, adolescents and students may experience learning difficulties as a result of lack of sleep. Dr Kristiaan van der Heijden investigates sleep problems and solutions for various age groups.
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Deep learning for visual understanding
With the dramatic growth of the image data on the web, there is an increasing demand of the algorithms capable of understanding the visual information automatically.
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Understanding deep meta-learning
The invention of neural networks marks a critical milestone in the pursuit of true artificial intelligence. Despite their impressive performance on various tasks, these networks face limitations in learning efficiently as they are often trained from scratch.
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Sleep and learning in children
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Collaborative learning in higher education: design, implementation and evaluation of group learning activities
The aim of this study was to provide insight into how teachers in higher education can be supported in the design, implementation and evaluation of group assignments by developing a theoretical and evidence-based framework for the design of group assignments.
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Andreas Paraskeva
Science
a.paraskeva@liacs.leidenuniv.nl | +31 71 527 2727
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Andreas Sauter
Science
a.w.m.sauter@liacs.leidenuniv.nl | +31 71 527 4799
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Developmental effects of polystyrene nanoparticles in the chicken embryo
There is concern about the threat that nanoplastics (NPs) may pose to both wildlife and humans. This thesis explores the mechanisms of toxicity of polystyrene nanoparticles (PS-NPs) in chicken embryo.
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Rapid and profound rewiring of brain lipid signaling networks by acute diacylglycerol lipase inhibition
Diacylglycerol lipases (DAGLα and DAGLβ) convert diacylglycerol to the endocannabinoid 2-arachidonoylglycerol. Our understanding of DAGL function has been hindered by a lack of chemical probes that can perturb these enzymes in vivo.
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Discovery of a NAPE-PLD inhibitor that modulates emotional behavior in mice, Nat. Chem. Biol. 2020
N-acylethanolamines (NAEs), which include the endocannabinoid anandamide, represent an important family of signaling lipids in the brain. The lack of chemical probes that modulate NAE biosynthesis in living systems hamper the understanding of the biological role of these lipids.
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The complicated conservation problem of genetic pollution
How does invasive hybridization affect threatened native species?
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Exploring deep learning for multimodal understanding
This thesis mainly focuses on multimodal understanding and Visual Question Answering (VQA) via deep learning methods. For technical contributions, this thesis first focuses on improving multimodal fusion schemes via multi-stage vision-language interactions.
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Collaborative learning in conservatoire education: catalyst for innovation
The aim of this research project was to increase understanding of which collaborative learning approaches already exist in conservatoire education, and how implementation of collaborative learning could be supported.
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Increased striatal activity in adolescence benefits learning
Heightened activation of the striatum that adolescents show in response to reward is often associated with risk-taking and negative health consequences. This article in Nature Communications investigates a potential positive side of this heightened activation. It shows that the activity peak in late…
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Professional learning: what teachers want to learn
The aim of this thesis was to examine what teachers want to learn themselves. The main research question was: what, how and why teachers want to learn? And does this depend on their years of teaching experience and the school at which they work?
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Early intervention in behavioural problems at school
Leiden University social scientists have shown that customised intervention pays off. A new fundamental research-based approach in children who are in danger of going off the rails has delivered spectacular results.
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Kim Stroet
Faculteit der Sociale Wetenschappen
k.f.a.stroet@fsw.leidenuniv.nl | +31 71 527 3955
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Julia Wasala
Science
j.wasala@liacs.leidenuniv.nl | +31 71 527 4799
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Michael Lew
Science
m.s.lew@liacs.leidenuniv.nl | +31 71 527 7034
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The CM class number one problem for curves
Promotores: P. Stevenhagen, A. Enge Co-Promotor: T.C. Streng
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Exploring Deep Learning for Intelligent Image Retrieval
This thesis mainly focuses on cross-modal retrieval and single-modal image retrieval via deep learning methods, i.e. by using deep convolutional neural networks.
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Reinforcement learning
The Reinforcement Learning lab conducts research into Reinforcement Learning and Intelligent Combinatorial Algorithms.
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Machine Learning
Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…
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Blended learning
The programme is also offered in a blended learning version: this is a combination of distance learning and face-to-face learning. Read more information
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Severe behavioral and emotional problems, special education and youth care
Which educational and child welfare interventions offer optimal opportunities for positive development to children with severe behavioral and emotional disorders.
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Solving problems in your head and in the world
Until recently, the role of external information processing in intelligence has rarely been investigated quantitatively or experimentally. A group of researchers from Erasmus University Rotterdam, Leiden University, GGZ Rivierduinen, and University of Edinburgh measured in a new way how and when people…
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Jochanan Veerbeek
Faculteit der Sociale Wetenschappen
j.veerbeek@fsw.leidenuniv.nl | +31 71 527 3399