The atomic theory and disease     

Ellice McDonald 《Journal of The Franklin Institute》1926,202(4):517-523

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Phonological processing and emergent literacy in Spanish-speaking preschool children     

Anthony JL  Williams JM  McDonald R  Corbitt-Shindler D  Carlson CD  Francis DJ 《Annals of dyslexia》2006,56(2):239-270

Phonological awareness (PA), phonological memory (PM), and phonological access to lexical storage (also known as RAN), play important roles in acquiring literacy. We examined the convergent, discriminant, and predictive validity of these phonological processing abilities (PPAs) in 147 3-, 4-, and 5-year-old children whose native language was Spanish. Confirmatory factor analysis (CFA) supported the validity of each PPA as separate from general cognitive ability and separate from each other. Moreover, structural equation modeling found RAN uniquely associated with knowledge of Spanish letter names and Spanish letter sounds. PA was found the best predictor of children’s ability to distinguish alphabetic text from nonalphabetic text. Finally, general cognitive ability was only indirectly associated with emergent literacy skills via PPAs. These results highlight the importance of PPAs in the early literacy development of native Spanish speaking preschool children.  相似文献   

Photomicrography and radiation studies with various wave-lengths of monochromatic ultraviolet radiation     

Alexander J. Allen  Rachel Franklin  Ellice McDonald 《Journal of The Franklin Institute》1934,218(6):701-716

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Software for calculating blood lactate endurance markers   总被引：2，自引：2，他引：0  

Newell J  Higgins D  Madden N  Cruickshank J  Einbeck J  McMillan K  McDonald R 《Journal of sports sciences》2007,25(12):1403-1409

Blood lactate markers are used as summary measures of the underlying model of an athlete's blood lactate response to increasing work rate. Exercise physiologists use these endurance markers, typically corresponding to a work rate in the region of high curvature in the lactate curve, to predict and compare endurance ability. A short theoretical background of the commonly used markers is given and algorithms provided for their calculation. To date, no free software exists that allows the sports scientist to calculate these markers. In this paper, software is introduced for precisely this purpose that will calculate a variety of lactate markers for an individual athlete, an athlete at different instants (e.g. across a season), and simultaneously for a squad.  相似文献   

LINC Health Panel Launch, 17 July 1995, Wellcome Building,UK     

Steven McDonald 《Health information and libraries journal》1995,12(4):311-314

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Progress of the Biochemical Research Foundation of the Franklin Institute     

Ellice McDonald 《Journal of The Franklin Institute》1938,225(2):121-169

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Evaluating Junior Secondary Science Textbook Usage in Australian Schools     

Christine V. McDonald 《Research in Science Education》2016,46(4):481-509

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The use of skill tests to predict status in junior Australian football     

T. E. Carl Woods  J. Annette Raynor  Lyndell Bruce  Zane McDonald 《Journal of sports sciences》2015,33(11):1132-1140

This study examined whether skill tests were predictive of status in junior Australian football. Players were recruited from the 2013 under 18 (U18) West Australian Football League competition and classified into two groups: elite (state U18 squad representative; n = 25; 17.9 ± 0.5 years) and subelite (nonstate U18 squad representative; n = 25; 17.3 ± 0.6 years). Both groups completed the Australian football kicking (AFK) and Australian football handballing (AFHB) tests, assessing kicking accuracy/ball speed and handballing accuracy on dominant and nondominant sides. A multivariate analysis of variance (MANOVA) modelled the main effect of “status”, whilst logistic regression models were built for the predictive analysis using the same test parameters. Between-group differences were noted across all parameters, with the combination of kicking accuracy and ball speed on the dominant and nondominant sides being the best predictor of status for the AFK test (wi = 0.25, AUC = 89.4%) and the combination of accuracy on the dominant and nondominant sides being the best predictor of status for the AFHB test (wi = 0.80, AUC = 88.4%). The AFK and AFHB tests are predictive of status, suggesting that their use is warranted as a means of talent identification in junior Australian football.  相似文献   

Report of the work of the Biochemical Research Foundation of the Franklin Institute     

Ellice McDonald 《Journal of The Franklin Institute》1943,235(1):27-39

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Book Review     

Margaret Marshall McDonald 《Health information and libraries journal》1993,10(1):50-51

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