Institution
University of Jyväskylä
Education•Jyvaskyla, Finland•
About: University of Jyväskylä is a education organization based out in Jyvaskyla, Finland. It is known for research contribution in the topics: Population & Neutron. The organization has 8066 authors who have published 25168 publications receiving 725033 citations. The organization is also known as: Jyväskylän yliopisto & Kasvatusopillinen korkeakoulu.
Papers published on a yearly basis
Papers
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TL;DR: It is demonstrated that neonates can efficiently learn transitional probabilities or frequencies of co-occurrence between different syllables, enabling them to detect word boundaries and in this way isolate single words out of fluent natural speech.
Abstract: Statistical learning is a candidate for one of the basic prerequisites underlying the expeditious acquisition of spoken language. Infants from 8 months of age exhibit this form of learning to segment fluent speech into distinct words. To test the statistical learning skills at birth, we recorded event-related brain responses of sleeping neonates while they were listening to a stream of syllables containing statistical cues to word boundaries. We found evidence that sleeping neonates are able to automatically extract statistical properties of the speech input and thus detect the word boundaries in a continuous stream of syllables containing no morphological cues. Syllable-specific event-related brain responses found in two separate studies demonstrated that the neonatal brain treated the syllables differently according to their position within pseudowords. These results demonstrate that neonates can efficiently learn transitional probabilities or frequencies of co-occurrence between different syllables, enabling them to detect word boundaries and in this way isolate single words out of fluent natural speech. The ability to adopt statistical structures from speech may play a fundamental role as one of the earliest prerequisites of language acquisition.
255 citations
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255 citations
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02 Jan 2013
TL;DR: Measurements of charge-dependent azimuthal correlations with the ALICE detector at the LHC show a clear signal compatible with a charge- dependent separation relative to the reaction plane, which shows little or no collision energy dependence when compared to measurements at RHIC energies.
Abstract: Measurements of charge-dependent azimuthal correlations with the ALICE detector at the LHC are reported for Pb-Pb collisions at root s(NN) = 2.76 TeV. Two- and three-particle charge-dependent azimuthal correlations in the pseudorapidity range vertical bar eta vertical bar < 0.8 are presented as a function of the collision centrality, particle separation in pseudorapidity, and transverse momentum. A clear signal compatible with a charge-dependent separation relative to the reaction plane is observed, which shows little or no collision energy dependence when compared to measurements at RHIC energies. This provides a new insight for understanding the nature of the charge-dependent azimuthal correlations observed at RHIC and LHC energies. DOI: 10.1103/PhysRevLett.110.012301
255 citations
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TL;DR: Vitamin D-deficient girls have low cortical BMD and high iPTH concentrations, which are consistent with secondary hyperparathyroidism, which may limit the accretion of bone mass in young girls.
254 citations
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TL;DR: The models including familial risk status and the three above-mentioned measures offer a rough screening procedure for estimating an individual child's risk for reading disability at the age of 3.5 years.
Abstract: Background: Analyses from the JyvaskylaLongitudinal Study of Dyslexia project show that the key childhood predictors (phonological awareness, short-term memory, rapid naming, expressive vocabu- lary, pseudoword repetition, and letter naming) of dyslexia differentiate the group with reading disability (n ¼ 46) and the group without reading problems (n ¼ 152) at the end of the 2nd grade. These measures were employed at the ages of 3.5, 4.5 and 5.5 years and information regarding the familial risk of dyslexia was used to find the most sensitive indices of an individual child's risk for reading disabil- ity. Methods: Age-specific and across-age logistic regression models were constructed to produce the risk indices. The predictive ability of the risk indices was explored using the ROC (receiver operating curve) plot. Information from the logistic models was further utilised in illustrating the risk with probability curve presentations. Results: The logistic regression models with familial risk, letter knowledge, phonological awareness and RAN provided a prediction probability above .80 (area under ROC). Conclusions: The models including familial risk status and the three above-mentioned measures offer a rough screening procedure for estimating an individual child's risk for reading disability at the age of 3.5 years. Probability curves are presented as a method of illustrating the risk. Key- words: Longitudinal study, dyslexia, reading disability, phonological awareness, letter knowledge, rapid naming, prediction, estimation, childhood.
254 citations
Authors
Showing all 8239 results
Name | H-index | Papers | Citations |
---|---|---|---|
Brenda W.J.H. Penninx | 170 | 1139 | 119082 |
Mika Kivimäki | 166 | 1515 | 141468 |
Jaakko Kaprio | 163 | 1532 | 126320 |
Marvin Johnson | 149 | 1827 | 119520 |
Stanislas Dehaene | 149 | 456 | 86539 |
Roger Jones | 138 | 998 | 114061 |
Zubayer Ahammed | 129 | 912 | 59811 |
James Alexander | 129 | 886 | 75096 |
Matti J Kortelainen | 128 | 1186 | 80603 |
Madan M. Aggarwal | 124 | 883 | 56065 |
Joakim Nystrand | 117 | 658 | 50146 |
Robert U. Newton | 109 | 753 | 42527 |
Dieter Røhrich | 102 | 637 | 35942 |
Keijo Häkkinen | 99 | 421 | 31355 |
Dong Jo Kim | 98 | 497 | 36272 |