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Breda, Netherlands

NHTV Breda University of Applied science is a vocational university in Breda, Netherlands. It was founded in 1987 with the merger of two educational institutions. Since, the university has increased in the number of staff, students and programmes offered. In 2010 there are more than 7,000 students from over 70 countries studying in the university in different types of programmes offered both in English and Dutch. NHTV Breda University offers 18 full-time bachelor's degree programmes. Two master programmes and one part-time bachelor's degree programme. NHTV Breda University is currently offering nine English taught bachelor programmes and five English taught master programmes. Wikipedia.

Nawijn J.,NHTV Breda University of Applied Sciences | Nawijn J.,Erasmus University Rotterdam
International Journal of Tourism Research | Year: 2010

We take holidays for pleasure, but how well do we actually feel during our holiday? This question was addressed in a study of 481 international tourists in the Netherlands, who answered questions about their mood of the day and about their satisfaction with life in general. Average mood appears to be high. Mood was somewhat lower among people who were in the first 'travel phase' of about 10% of the holiday duration. Mood was highest during the 'core phase', which covers about 70% of the holiday time. Mood then declines slightly, but increases during the last part of the holiday. Copyright © 2009 John Wiley & Sons, Ltd.

Bastiaansen M.,Radboud University Nijmegen | Bastiaansen M.,NHTV Breda University of Applied Sciences | Hagoort P.,Radboud University Nijmegen
Journal of Cognitive Neuroscience | Year: 2015

During sentence level language comprehension, semantic and syntactic unification are functionally distinct operations. Nevertheless, both recruit roughly the same brain areas (spatially overlapping networks in the left frontotemporal cortex) and happen at the same time (in the first few hundred milliseconds after word onset). We tested the hypothesis that semantic and syntactic unification are segregated by means of neuronal synchronization of the functionally relevant networks in different frequency ranges: gamma (40 Hz and up) for semantic unification and lower beta (10–20 Hz) for syntactic unification. EEG power changes were quantified as participants read either correct sentences, syntactically correct though meaningless sentences (syntactic prose), or sentences that did not contain any syntactic structure (random word lists). Other sentences contained either a semantic anomaly or a syntactic violation at a critical word in the sentence. Larger EEG gamma-band power was observed for semantically coherent than for semantically anomalous sentences. Similarly, betaband power was larger for syntactically correct sentences than for incorrect ones. These results confirm the existence of a functional dissociation in EEG oscillatory dynamics during sentence level language comprehension that is compatible with the notion of a frequency-based segregation of syntactic and semantic unification. © 2015 Massachusetts Institute of Technology.

Lewis A.G.,Max Planck Institute for Psycholinguistics | Lewis A.G.,Donders Institute for Brain | Bastiaansen M.,Max Planck Institute for Psycholinguistics | Bastiaansen M.,NHTV Breda University of Applied Sciences
Cortex | Year: 2015

There is a growing literature investigating the relationship between oscillatory neural dynamics measured using electroencephalography (EEG) and/or magnetoencephalography (MEG), and sentence-level language comprehension. Recent proposals have suggested a strong link between predictive coding accounts of the hierarchical flow of information in the brain, and oscillatory neural dynamics in the beta and gamma frequency ranges. We propose that findings relating beta and gamma oscillations to sentence-level language comprehension might be unified under such a predictive coding account. Our suggestion is that oscillatory activity in the beta frequency range may reflect both the active maintenance of the current network configuration responsible for representing the sentence-level meaning under construction, and the top-down propagation of predictions to hierarchically lower processing levels based on that representation. In addition, we suggest that oscillatory activity in the low and middle gamma range reflect the matching of top-down predictions with bottom-up linguistic input, while evoked high gamma might reflect the propagation of bottom-up prediction errors to higher levels of the processing hierarchy. We also discuss some of the implications of this predictive coding framework, and we outline ideas for how these might be tested experimentally. © 2015 Elsevier Ltd.

Bikker J.,NHTV Breda University of Applied Sciences
Computer Graphics Forum | Year: 2012

In this paper, we investigate the efficiency of ray queries on the CPU in the context of path tracing, where ray distributions are mostly random. We show that existing schemes that exploit data locality to improve ray tracing efficiency fail to do so beyond the first diffuse bounce, and analyze the cause for this. We then present an alternative scheme inspired by the work of Pharr et al. in which we improve data locality by using a data-centric breadth-first approach. We show that our scheme improves on state-of-the-art performance for ray distributions in a path tracer. © 2012 The Eurographics Association and Blackwell Publishing Ltd.

Peeters P.,NHTV Breda University of Applied Sciences | Peeters P.,Technical University of Delft | Peeters P.,Wageningen University | Dubois G.,University of Versailles
Journal of Transport Geography | Year: 2010

The paper first describes an inventory for 2005 giving the tourism related CO2 emission caused by global tourism, and presents a 30-year projection and a 45-year simulation. The study found that tourists cause 4.4% of global CO2 emissions. Also these emissions are projected to grow at an average rate of 3.2% per year up to 2035. This increase is problematic as globally a reduction of emissions by 3-6% is required to avoid 'dangerous' climate change. Using contemporary scenario techniques it appeared difficult to find a future tourist travel system consistent with CO2 emission reductions of up to 70% by 2050 with respect to 2005. Based on the model underlying the 30-year projection, 70 scenarios are presented in a 'landscape' graph exploring the effect of opportunities to reduce the emissions, but this attempt did not reach the large reductions envisaged. We therefore explored automated scenario generation as a way to define backcasting scenarios that both reach the emission reduction target and retain the highest possible economic value for the sector. The main contributions made by this study are (1) in comparing the value of different ways to approach a (desired) future and (2) giving insight into the kind of structural changes required within tourism and tourism transport in case very strong emission reductions are required. Finally the model showed signs of 'complex' behaviour. © 2009 Elsevier Ltd. All rights reserved.

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