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The predictive power of saliva electrolytes exceeds that of saliva microbiomes in diagnosing early childhood caries
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In: J Oral Microbiol (2021)
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Speech perception in children with reading disabilities
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Abstract:
Reading disability (RD) is typically viewed as a major obstacle in the development of literacy. This thesis proposes that the source of RDs is related to inadequate phonetic non-categorical processing skills rooted in early development. This view is supported by two experiments on children with reading disabilities in two tasks: a Syllable Confusion Oddball task (SCO) and a Nonsense Syllable Confusion Matrix task (NSCM). The SCO task tested children’s ability to select a different syllable (either a consonant vowel–CV or vowel consonant–VC syllable) from a string of three such syllables spoken by three different talkers. The NSCM task tested children’s ability to reproduce the exact syllable after hearing it. All of the natural CV and VC speech syllables used in both tasks were taken from a commercial database of 18 talkers. Experimental results were: First, regardless of pure tone hearing ability and higher language processing ability (at the level of words and sentences), children with RD (RDs) encountered significant difficulties in phonetic perception compared to a normal reading control group (RCs). Second, RDs had a speech perception problem with nonsense syllable identification, despite normal hearing for pure tones. The stark contrast in performance of the two tasks showed that the SCO task was more difficult than the NSCM task for the RDs. Based on this contrast, the hypothesis is that RDs are not able to retain the three syllables in their phonetic short-term memory, as required to produce an accurate outcome. Third, the clustering analysis for probability of error and entropy showed that the RDs had much greater diversity in responses than the RCs. Some RDs gave all possible responses of phones (maximum entropy), while a few RDs gave only one alternative guess for certain phones. It is reasonable to conclude that, while weakness in phonetic perception could separate the majority of the RDs from the RCs, there exist other factors which contribute to the difficulties in reading for some RDs. Finally, major similarities in confusion patterns for the two groups were plotted using directed graphs and stacked bar plots. For consonants, centers of confusion were mainly affricates and fricatives. The RDs also had additional confusion patterns related to stops and liquids. For vowels, perception of diphthongs and tense vowels was mostly intact for both groups. Confusions mostly occurred among certain “front” and “back” lax vowels. With the purpose of developing an automatic diagnostic tool with confusion pattern, methods were explored to rank phones by automatically block-diagonalizing confusion matrices.
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Keyword:
Phoneme perception; Phonemic awareness; Reading disabilities in children; Source of reading disabilities
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URL: http://hdl.handle.net/2142/100903
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Technology roadmapping for competitive technical intelligence
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In: ISSN: 0040-1625 ; Technological Forecasting and Social Change ; https://hal-upec-upem.archives-ouvertes.fr/hal-01276909 ; Technological Forecasting and Social Change, Elsevier, 2015, pp.175-186. ⟨10.1016/j.techfore.2015.11.029⟩ (2015)
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An extended version of the fuzzy multicriteria group decision-making method in evaluation processes
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In: Faculty of Informatics - Papers (Archive) (2012)
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Development of a decision support approach for sustainable urban water management
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Theme-Based Comprehensive Evaluation in New Product Development Using Fuzzy Hierarchical Criteria Group Decision-Making Method
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In: Faculty of Engineering and Information Sciences - Papers: Part A (2011)
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Decider: A fuzzy multi-criteria group decision support system
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In: Faculty of Engineering and Information Sciences - Papers: Part A (2010)
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Multi-criteria Group Decision Support with Linguistic Variables in Long-term Scenarios for Belgian Energy Policy
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In: Faculty of Engineering and Information Sciences - Papers: Part A (2010)
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Team situation awareness measure using semantic utility functions for supporting dynamic decision-making
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In: Faculty of Engineering and Information Sciences - Papers: Part A (2010)
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