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Neural networks for image-based wavefront sensing for astronomy

We study the possibility of using convolutional neural networks for wavefront sensing from a guide star image in astronomical telescopes. We generated a large number of artificial atmospheric wavefront screens and determined associated best-fit Zernike polynomials. We also generated in-focus and out-of-focus point-spread functions. We trained the well-known “Inception” network using the artificial

Gender identification in Chinese names

In this paper we discuss a number of factors that bear on the question if a Chinese given name is more likely to refer to a female or a male. In some cases this can be determined (with some degree of confidence) – in others it cannot. We identify the relevant factors as 1) gender-identifying characters or radicals; 2) sound symbolism and 3) reduplication. We consider the relations between these fa

Mental health provision in schools: approaches and interventions in 10 European countries

Background.The role of schools in providing community-based support for children's mental health and well-being is widely accepted and encouraged. Research has mainly focused on designing and evaluating specific interventions and there is little data available regarding what provision is available, the focus and priorities of schools and the professionals involved in providing this support. The cu

Examining Mental Health and Well-being Provision in Schools in Europe: Methodological Approach

Schools are considered an ideal setting for community-based mental health and well-being interventions for young people. However, in spite of extensive literature examining the effectiveness of such interventions, very few studies have investigated existing mental health and well-being provision in schools. The current study aims to extend such previous research by surveying primary and secondary

Contributions to Preventive Measures in Cyber Security

Organizations and individuals maintain and use an ever increasing amount of computer systems, either deployed locally, or in the cloud.These systems often store and handle vast amounts of data, some of which is sensitive and should be kept private.Regardless of where the data is located, there is a need to prevent data from falling into the wrong hands.To this end, this dissertation presents contr

Bridges in a changing climate : a study of the potential impacts of climate change on bridges and their possible adaptations

Climate change may have multifaceted impacts on the safety and performance of infrastructure. Accounting for the different ways in which potential climate change scenarios can affect our infrastructure is paramount in determining appropriate adaptation and risk management strategies. Despite gaining some attention among researchers in recent years, this research area is still largely uninvestigate

Pool Boiling on Structured Surfaces: Heat Transfer and Critical Heat Flux : Experiments and Mechanistic Modelling

In this thesis, pool boiling heat transfer was experimentally studied on structured surfaces with dielectric liquids (HFE-7200, NOVEC-649, FC-72), organic liquids (Acetone, Pentane) and deionized water.In the first step, nanoparticle coatings on copper surfaces were prepared by an electrophoretic deposition method, with Cu-Zn nanoparticles (100 nm) and Cu nanoparticles (150 nm). Two types of nanop

Does the means achieve an end? : A document analysis providing an overview of emergency and crisis management evaluation practice in the Netherlands

Evaluations provide insights into the effectiveness of emergency exercises or the response to a disaster. A well-constructed process is key to capture evidence-based feedback that can support future learning and development. However, little is known about how they are performed in practice and whether they actually meet their intended purpose. Therefore, this paper provides an overview of how ‘ope