A data analysis method based on artificial neural networks aiming to support cause-and-effect in design exploration studies is presented. The clusters and aggregates the effects of multiple variables structural hierarchy evaluated system. proposed exemplified a case study showing that predictive capability created, clustered, dataset comparable original, unmodified, one. using coefficient deter...

Abstract This study investigated how bilingual experience alters neural mechanisms supporting novel word learning. We hypothesised that words elicit increased semantic activation in the larger lexicon, potentially stimulating stronger memory integration than monolinguals. English monolinguals and Spanish–English bilinguals were trained on two sets of written Swahili–English pairs, one set each ...