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We present the composite luminosity function (hereafter LF) of galaxies for 81 Abell clusters studied in our survey of the Northern Hemisphere, using DPOSS data processed by the CRoNaRio collaboration. The derived LF is very accurate due to the use of homogeneous data both for the clusters and the control fields and to the local estimate of the background, which takes into account the presence ...

This paper examines the vowel production of eight young male speakers of Mäori in order to assess whether there are pronunciation differences between those who were raised as L1 speakers of Mäori and those who clearly learnt English first. We demonstrate that the L1 speakers produce two vowel pairs, /a:/ (WÄ), /a/ (WAKA) and /ü:/ (TÜ), /u/ (TUKU) significantly farther back than the L2 speakers....

This study uses articulography, the measurement of the position of tongue and lips during speech, as a tool to quantitatively assess the differences between pronunciations of native and non-native (Dutch) speakers of English. In our study, we focus on two pairs of English sound contrasts: /s/-/ʃ/ and /t/-/θ/. Our analysis focuses on the anterior-posterior position of the tongue tip during the p...

PLAIN ENGLISH SUMMARY Engaging patients in research studies is becoming more common because it makes research and its results more relevant for patients. It is important to understand the best ways for patients and researchers to work together. Patients who are included as active partners in research can provide useful input on what it is like to work on a research team but very little has been...

We present the composite luminosity function (hereafter LF) of galaxies for 80 Abell clusters studied in our survey of the Northern Hemisphere, using DPOSS data in the framework of the CRoNaRio collaboration. Our determination of the LF has been computed with very high accuracy thanks to the use of homogeneous data both for the clusters and the control fields and to a local estimate of the back...

This paper describes a grammar learning system that combines model-based and data-driven learning within a single framework. Our results from learning grammars using the Spoken English Corpus (SEC) suggest that combined model-based and data-driven learning can produce a more plausible grammar than is the case when using either learning style in isolation.

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