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Advancing The Ability To Predict Cognitive Decline and Alzheimer’s Disease Based On Genetic Variants Beyond Amyloid-beta and Tau
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In: Master's Projects (2021)
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Predicting Scalar Inferences From "Or" to "Not Both" Using Neural Sentence Encoders
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In: Proceedings of the Society for Computation in Linguistics (2021)
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Early reading correlates in language impairment (Newbury et al., 2020)
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How linguistic structure influences and helps to predict metaphoric meaning
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Dunn J. - : Walter de Gruyter GmbH, 2019
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Predicting literature's early impact with sentiment analysis in Twitter
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In: 192 (2019)
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Reality Monitoring and Feedback Control of Speech Production Are Related Through Self-Agency.
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Towards predicting dialog acts from previous speakers' non-verbal cues ; BIBTEX 2017
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РАЗВИТИЕ У КИТАЙСКИХ СТУДЕНТОВ ВЕРБАЛЬНОГО ВЕРОЯТНОСТНОГО ПРОГНОЗИРОВАНИЯ В ОБУЧЕНИИ РКИ
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ЯНЧЕНКО ВЛАДИСЛАВ ДМИТРИЕВИЧ; ЛЮ ЦЯНЬ. - : Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования «Поволжская государственная социально-гуманитарная академия», 2015
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An investigation of the role of parental request for self-correction of stuttering in the Lidcombe Program
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Integrating literacy and engineering instruction for young learners
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In: Teacher Education and Leadership Faculty Publications (2015)
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Comparative Stylistic Fanfiction Analysis: Popular and Unpopular Fics across Eleven Fandoms
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In: FIMS Publications (2013)
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Reading Development and Dyslexia
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In: Symplectic Elements at Oxford ; Scopus (http://www.scopus.com/home.url) (2010)
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An international validation study of the EORTC brain cancer module (EORTC QLQ-BN20) for assessing health-related quality of life and symptoms in brain cancer patients.
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In: European Journal of Cancer, vol. 46, no. 6, pp. 1033-1040 (2010)
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Mining Face-to-Face . . . PRODUCTIVITY IN AN IT CONFIGURATION TASK
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In: http://ebusiness.mit.edu/research/papers/2008.05_Wu_Waber_Aral_Brynjolfsson_Pentland_Mining Face-to-Face Interaction_288.pdf (2008)
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Mining Face-to-Face Interaction . . . PRODUCTIVITY IN AN IT CONFIGURATION TASK
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In: http://vismod.media.mit.edu//tech-reports/TR-622.pdf (2008)
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An investigation of language and phonological development and the responsiveness of preschool age children to the Lidcombe Program
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Abstract:
Knowledge of variables that predict treatment time is of benefit in deciding when to start treatment for early stuttering. To date, the only variable clearly related to treatment time with the Lidcombe Program is pre-treatment stuttering frequency. Previous studies have shown that children whose stuttering is more severe take longer to complete Stage I of the program. However, studies to date have not investigated phonology and language as predictors of treatment time. In the context of a Phase 11 clinical trial, the present prospective study showed that phonological development does not predict treatment time but that, together, stuttering severity, MLU and CELF Receptive Score predict 35-45% of the variance for time taken to complete Stage 1. Learning outcomes: The reader should be able to (1) understand guidelines developed for the timing of intervention with the Lidcombe Program based on previous retrospective studies, (2) determine whether pre-treatment language and phonological development play a role in treatmentled recovery with the Lidcombe Program and (3) understand recent empirical evidence on time taken by preschool children to complete Stage I of the Lidcombe Program. (C) 2006 Elsevier Inc. All rights reserved.
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Keyword:
321217 Health Counselling; 730204 Child health; Abilities; C1; Disorders; Early Stuttering Intervention; Impact; Initial Status; Linguistics; Predicting Treatment Time; Rehabilitation; Speech; Trial
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URL: https://espace.library.uq.edu.au/view/UQ:134737
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Guidelines for statistical analysis of percentage of syllables stuttered data
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ImpelERO: Modelo híbrido sistema-experto/ red-neuronal para evaluar la erosión en suelos agrícolas. Apéndices
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Rosa, Diego de la. - : CSIC - Centro de Edafología y Biología Aplicada del Cuarto (CEBAC), 2004. : CSIC - Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS), 2004
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