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One of the means of translating the Quran is to pay attention to the origin of the meaning of the words of the verses, which paves the way for explaining the meaning of the text. To understand the main words in the verses, the principle of basic meaning, etymology and its meaning in different contexts should be considered. One of the most frequent words in the Holy Quran is the words taken from the article "Nafaq" in a way that for finding an equivalence, the two words "charity" and "hypocrite" are always considered independent due to semantic distance and positive and negative emotional connotation because of not paying attention to the derivation from the principle of matter, and they show the meanings away from the basic meaning. The present research seeks to answer the questions in a descriptive-analytical method, what semantic course has the article "Nafaq" gone through and what components has it in this course? And what is the semantic relationship between the derivatives of this article? The findings of the research indicate that in pre-Islamic Arabic texts and their common scientific language, the word "Nafaq" was used in the meaning of "hole". The Holy Quran created a special culture for the meaning of this word and based on meanings of the hole and the rift, the three words "hypocrite", "charity" and "alimony" has been conceptualized from the article "Nafaq". The difference is that in Quran and in the light of the prototype view, the meanings of "Nafaq" are more limited and it is used in the two areas of charity and spending wealth, as well as hypocrisy and duplicity in beliefs. Based on the original prototype in the scientific language, these meanings have been illustrated and conceptualized in a way that it is necessary for the translators to pay attention to these conceptualizations in the translation of the Quran.
 

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Banks play substantial role in the national economy and its growth and prosperity. In this regard, recent researches have focused on performance evaluation of banks using “data envelopment analysis” (DEA). However, most of these studies has paid less attention to the selection of input and output variables. Obviously, the change in the variables set makes the efficiency scores and assessments of the decision-making units very different. Hence, in this paper, a logistic regression model is used in order to select the input and output variables. Applying this method indicates that the main variables of model are main source of financing as "input variable" and the bank facilities, resource absorption rate and number of bills as "output variables". These are of the greatest impact on forecasting of units efficiency (inefficiency). Then, we dealt with this set of variables to determine technical, allocative, and overall efficiency of 15 branches of Sepah Bank in Tehran during 2011. The results show that only 27 percent of units are 100% efficient, 20% of the units are 100% inefficient, 20% of units are allocatively inefficient and 34% of them are technically inefficient.