background and aim: different tests have been developed to evaluate reduced ability of speech perception in noise, and the words-in-noise test is one of the easiest ones in terms of speech materials. this study aimed to develop and determine the validity and reliability of the persian version of the words-in-noise (win) test for 7 to 12-year-old children. methods: this research is a tool-making...

background: an important part of one's information from surrounding environment comes through olfactory system. so its disorders regardless of the reason can lead to many problems. an appropriate diagnostic smell test is needed to determine the normal range of olfactory sense, to evaluate patient's complaints and to determine the severity of the problem. it is also helpful in follow- up and cho...

An essential part of any DNA computation is to encode data on DNA strands. Performing such computation we must be sure that no undesirable hybridization will occur. The aim of this paper is to present algorithms which can test if a given set of code words satisfies certain coding and involutory properties, as it is necessary to prevent undesirable DNA strands interactions. These algorithms are ...

As part of a research program that aims to develop an explicit acoustic basis for a single-word intelligibility test, an initial attempt to characterize the formant trajectories and segment durations of seven test words produced by 30 normal speakers is described. These characterizations are referred to as "acoustic signatures." The data indicate that: (1) formant trajectories show two sex effe...

This paper describes the University of Sheffield’s submission to the SemEval 2016 Twitter Stance Detection weakly supervised task (SemEval 2016 Task 6, Subtask B). In stance detection, the goal is to classify the stance of a tweet towards a target as “favor”, “against”, or “none”. In Subtask B, the targets in the test data are different from the targets in the training data, thus rendering the ...