Temporal processing and reading disability

The present investigation examined thehypothesis that early auditory temporalprocessing deficits cause later specificreading disability by impairing phonologicalprocessing (Farmer & Klein 1995; Tallal1980, 1984). Temporal processing ability atschool entry was examined using Tallal'sRepetition Test in a large unselected sample ofover 500 children followed over subsequentyears. Although our data confirmed the presenceof certain non-speech auditory processingdeficits in children later classified asspecific reading-disabled, many findings wereclearly at odds with a causal interpretation ofthis relationship. (1) Reading-disabled (RD)children were impaired at school entry on thesubtest with long interstimulus intervals(ISIs) but not the critical short-ISIsubtest. (2) RD children were not inferior toreading-age (RA) controls. (3) A subgroup of RDchildren with evidence of temporal deficitswere no less proficient on later phonologicalor reading measures than RD children with noevidence of early temporal impairment. (4)Although there was a reliable concurrentcorrelation between temporal deficits andphonological awareness at school entry(suggesting a possible common causeexplanation), early temporal deficits did notpredict later phonological impairment,pseudoword processing difficulties, or specificreading disability. On the other hand, earlytemporal deficits did predict later oralreceptive vocabulary and reading comprehensionweaknesses. These findings suggest thatauditory temporal deficits in dyslexics may beassociated with the same dysphasic-typesymptoms observed by Tallal and her colleaguesin specific language-impaired populations, butdo not cause the core phonological deficitsthat characterize dyslexic groups.

Corporations law text and essential cases

Corporations Law: Text and Essential Cases is designed as a student text but will be a useful book for practitioners seeking a good, current, concise book on corporations law. Author Julie Cassidy is a proven, successful author and has carefully ensured that the case extracts in this book are long enough to be useful to lawyers needing to cite case authorities in opinions and court submissions.

Corporations law : text and essential cases

Corporations Law: Text and Essential Cases is designed specifically to meet the needs of students undertaking one-semester, case-based courses in Corporations Law. The 13 chapters each contain extracts from the leading cases supported by commentary, further readings, and review questions.

Process drama and digital games as text and action in virtual worlds : developing new literacies in school

This article explores the intersections between drama and digital gaming and the educational possibilities for literacy of both. The article draws on a model for the educational uses of digital gaming and three case studies from the Australian Research Council funded three and a half year project, Literacy in the digital world of the twenty first century: Learning from computer games. This model theorises the scope of the possibilities for literacy outcomes from the usage of computer games. The article describes how the model works, and then applies the model to drama education, specifying some new ways of thinking about the literacy outcomes from drama education. Process drama is theorised as the creation of text-in-action.

Business marketing : text and cases

Produced for undergraduate unit MMK368 (Business marketing) offered by the Faculty of Business and Law's Bowater School of Management and Marketing in Deakin University's flexible learning program.

Contract law : text and cases

A blend of academic commentary supported by key cases providing fundamental knowledge of contract law.

Simulated hyperopic anisometropia and reading, visual information processing, and reading-related eye movement performance in children.

Purpose: This study investigated the impact of simulated hyperopic anisometropia and sustained near work on performance of academic-related measures in children.
Methods: Participants included 16 children (mean age: 11.1 ± 0.8 years) with minimal refractive error. Academic-related outcome measures included a reading test (Neale Analysis of Reading Ability), visual information–processing tests (Coding and Symbol Search subtests from the Wechsler Intelligence Scale for Children), and a reading-related eye movement test (Developmental Eye Movement test). Performance was assessed with and without 0.75 diopters of simulated monocular hyperopic defocus (administered in a randomized order), before and after 20 minutes of sustained near work. Unilateral hyperopic defocus was systematically assigned to either the dominant or nondominant sighting eye to evaluate the impact of ocular dominance on any performance decrements.
Results: Simulated hyperopic anisometropia and sustained near work both independently reduced performance on all of the outcome measures (P < 0.001). A significant interaction was also observed between simulated anisometropia and near work (P < 0.05), with the greatest decrement in performance observed during simulated anisometropia in combination with sustained near work. Laterality of the refractive error simulation (ocular dominance) did not significantly influence the outcome measures (P > 0.05). A reduction of up to 12% in performance was observed across the range of academic-related measures following sustained near work undertaken during the anisometropic simulation.
Conclusions: Simulated hyperopic anisometropia significantly impaired academic-related performance, particularly in combination with sustained near work. The impact of uncorrected habitual anisometropia on academic-related performance in children requires further investigation. © 2014 The Association for Research in Vision and Ophthalmology, Inc.

Using data mining for digital ink recognition: dividing text and shapes in sketched diagrams

The low accuracy rates of textshape dividers for digital ink diagrams are hindering their use in real world applications. While recognition of handwriting is well advanced and there have been many recognition approaches proposed for hand drawn sketches, there has been less attention on the division of text and drawing ink. Feature based recognition is a common approach for textshape division. However, the choice of features and algorithms are critical to the success of the recognition. We propose the use of data mining techniques to build more accurate textshape dividers. A comparative study is used to systematically identify the algorithms best suited for the specific problem. We have generated dividers using data mining with diagrams from three domains and a comprehensive ink feature library. The extensive evaluation on diagrams from six different domains has shown that our resulting dividers, using LADTree and LogitBoost, are significantly more accurate than three existing dividers.