2,403,905 research outputs found
English-language learners’ problem solving in Spanish versus English
To explore the role of language in English Language Learners (ELLs)´ problem solving, we compare the performance of a group of Latino first graders when working in Spanish and in English on two equivalent sets of story problems. We contrast our results with others from previous studies with bilingual and monolinguals children by focusing on students´ performance in problems with the same semantic structure. This comparison leads us to discuss some factors influencing students´ problem solving. The findings support the use of problem solving in teaching ELLs. Students’ performance was slightly higher in English, even in problems of higher language complexity, but lower than monolingual students from other studies
ProLanGO: Protein Function Prediction Using Neural~Machine Translation Based on a Recurrent Neural Network
With the development of next generation sequencing techniques, it is fast and
cheap to determine protein sequences but relatively slow and expensive to
extract useful information from protein sequences because of limitations of
traditional biological experimental techniques. Protein function prediction has
been a long standing challenge to fill the gap between the huge amount of
protein sequences and the known function. In this paper, we propose a novel
method to convert the protein function problem into a language translation
problem by the new proposed protein sequence language "ProLan" to the protein
function language "GOLan", and build a neural machine translation model based
on recurrent neural networks to translate "ProLan" language to "GOLan"
language. We blindly tested our method by attending the latest third Critical
Assessment of Function Annotation (CAFA 3) in 2016, and also evaluate the
performance of our methods on selected proteins whose function was released
after CAFA competition. The good performance on the training and testing
datasets demonstrates that our new proposed method is a promising direction for
protein function prediction. In summary, we first time propose a method which
converts the protein function prediction problem to a language translation
problem and applies a neural machine translation model for protein function
prediction.Comment: 13 pages, 5 figure
- …