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Direct linkMusso, Mariel F.; Cómbita, Lina M.; Cascallar, Eduardo C.; Rueda, M. Rosario – Mind, Brain, and Education, 2022
The objective of this research was to develop robust predictive models of the gains in working memory (WM) and fluid intelligence (Gf) following executive attention training in children, using genetic markers, gender, and age variables. We explore the influence of genetic variables on individual differences in susceptibility to intervention.…
Descriptors: Genetics, Artificial Intelligence, Gender Differences, Age Differences
Liu, Zhimin; Kipchumba, Simon Kibet; Liu, Lu – Higher Education: The International Journal of Higher Education Research, 2016
The top-ranking world-class universities in agricultural science denote those universities which are globally popular with agriculture-related subjects. The paper synthesizes the results of three different ranking scales (NTU, QS and ARWU) of top 50 universities in agriculture subject in 2013. The overlapped parts have been synchronized to derive…
Descriptors: Reputation, Agricultural Education, Science Education, Universities
Download full textRobb, Preston – 1965
A discussion of the incidence of epilepsy is followed by a discussion of etiology including the following causes: genetic and birth factors, infectious diseases, toxic factors, trauma or physical agents, heredofamilial and degenerative disorders, circulatory disturbances, metabolic and nutritional disturbances, and neoplasms. Epileptic seizures…
Descriptors: Biochemistry, Classification, Clinical Diagnosis, Communicable Diseases
