692 research outputs found
I. Kort verslag van een bezoek in 1916 gebracht aan het Panama-kanaal en aan verschillende sluis- en kanaal werken in Noord-Amerika, door den ingenieur van den Rijkswaterstaat jhr. C.E.W. van Panhuys: II. - III. Eenige aanteekeningen van den ingenieurs van den Rijkswaterstaat F.L. Schlingemann en G.J. van den Broek, naar aanleiding van een in 1916 gemaakte reis naar Noord-Amerika ter bezichtiging van werken op waterbouwkundig gebied
No full textBezoek aan Noord Amerika om informatie te krijgen t.b.v. de bouw van de sluis bij IJmuiden. Op het voorloopig reisprogramma stonden aanvankelijk alleen de werken van het New-York State Barge-kanaal, de kanalisatie van de Ohio en zijrivieren, terwijl was gedacht aan de mogelijkheid een bezoek aan de sluis in de Mississippi te Keokuk en de Amerikaansche sluizen in den scheepvaartweg der groote meren te Sault Ste Marie. Dit reisplan werd later bovendien nog uitgestrekt tot de Canadeesche sluis te Sault Ste Marie en de sluizen in het Welland-kanaal, terwijl ten slotte ook het Chicago Drainage-kanaal werd bezocht. Daarnaast zijn de werken in het Panamakanaal bezocht
Draft De Novo Genome Sequence of<i>Agapornis roseicollis</i>for Application in Avian Breeding
No full textIn aviculture, lovebirds are considered one of the most popular birds to keep. This African parakeet is known for its range of plumage colors and ease to tame. Plumage variation is the most important price-determining trait of these birds, and also the main selection criterion for breeders. Currently, no genetic screening tests for traits of economic importance or to confirm pedigree data are available for any of the nine lovebird species. As a starting point to develop these tests, the de novo genome of Agapornis roseicollis (rosy-faced lovebird) was sequenced, assembled, and annotated. Sequencing was done on the Illumina HiSeq 2000 platform and the assembly was performed using SOAPdenovo v2.04. The genome was found to be 1.1 Gb in size and 16,044 genes were identified and annotated. This compared well with other previously sequenced avian genomes, such as the chicken, zebra finch, and budgerigar. To assess genome completeness, the number of benchmarking universal single-copy orthologs were identified in the genome. This was compared to other previously assembled avian genomes and the results indicated that the genome will be useful in the development of genetic screening tests to aid lovebird breeders in selecting breeding pair
Proceedings of the 3rd Workshop on Multimodal Output Generation
No full textvan der Sluis I, Bergmann K, van Hooijdonk C, Theune M. Proceedings of the 3rd Workshop on Multimodal Output Generation. In: MOG 2010. Twente/Enschede, NL: CTIT; 2010
Some multimodal signals in humans
No full textde Ruiter J. Some multimodal signals in humans. In: van der Sluis I, Theune M, Reiter E, Krahmer E, eds. Proceedings of the Workshop on Multimodal Output Generation MOG 2007. 2007: 141-148
An Intelligent Algorithm for Smart Grid Protection Applications
No full textElectrical Sustainable EnergyElectrical Engineering, Mathematics and Computer Scienc
Detecting Specific Genotype by Environment Interactions Using Marginal Maximum Likelihood Estimation in the Classical Twin Design
No full textConsiderable effort has been devoted to the analysis of genotype by environment (G × E) interactions in various phenotypic domains, such as cognitive abilities and personality. In many studies, environmental variables were observed (measured) variables. In case of an unmeasured environment, van der Sluis et al. (2006) proposed to study heteroscedasticity in the factor model using only MZ twin data. This method is closely related to the Jinks and Fulker (1970) test for G × E, but slightly more powerful. In this paper, we identify four challenges to the investigation of G × E in general, and specifically to the heteroscedasticity approaches of Jinks and Fulker and van der Sluis et al. We propose extensions of these approaches purported to solve these problems. These extensions comprise: (1) including DZ twin data, (2) modeling both A × E and A × C interactions; and (3) extending the univariate approach to a multivariate approach. By means of simulations, we study the power of the univariate method to detect the different G × E interactions in varying situations. In addition, we study how well we could distinguish between A × E, A × C, and C × E. We apply a multivariate version of the extended model to an empirical data set on cognitive abilities
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