درخت حوزه‌های تخصصی

In order to survive in the modern world, organizations must be equipped with the mechanisms that not only maintain their competitive advantage, but also result in their progress and improvement. Prediction of banks’ performances is an important issue, and a poor performance in banks may primarily lead to their bankruptcy, thereby affecting national economics. The bank performance prediction model uses scientific and systematic approaches to diagnose the financial operations of institutes. According to a precise and strict evaluation, the model can detect the weakness of institutions in advance and provide early warning signals to related financial governments. In the present study, we have used three data mining models to predict the future performance of the banks accepted in Tehran Stock Exchange (TSE) and Iran Fara Bourse. Initially, 53 financial ratios were selected and, consequently, reduced to 28 using the fuzzy Delphi technique. The statistical population included 18 banks listed on TSE and Iran Fara Bourse, which   provided their financial statements during the period of 2011 to 2017. Data were collected from the Codal site based on 28 financial ratios using C4.5 decision tree, AdaBoost, and Naïve Bayes algorithm. According to the findings, the Naïve Bayes algorithm was the optimal predictive model with the accuracy of 88.89%.

Today, urban areas are among the most complex social landscapes. In order to detect and to resolve urban social problems, urban planners require a deep recognition of this complexity. Synthetic homogeneous neighborhoods offer one approach in moving towards reimagining some of the invisible socioeconomic aspects of urban life. In this paper, we use Openshaw’s Automated Zone Design (AZD) methods that utilize an array of factors and algorithms to generate new homogenous socio-spatial units based on both statistical and heuristic procedures. The results are polygons (pseudo neighborhoods) which represent a specific underlying socioeconomic patterning across the city. Using Tehran as our case, the hidden socioeconomic patterns are different from the administrative city divisions and cartographic. The consistency of the new zone design was checked through global and local Moran’s I; upon given assumption that for the resulted homogenous polygons (neighborhood), there is no spatial autocorrelation in the new zone design map. The results showed the random distribution for all but one socioeconomic indices in the new zone design map. The result converts heterogeneous urban divisions into new homogenous polygons (neighborhoods) by regrouping basic socioeconomic and spatial units.

Individual differences in personality traits can influence students' ability to learn a new language. Among the important personality traits, perfectionism has recently been the topic of investigation in second language acquisition research. Following this line of research, the current study aims at examining a path model linking dimensions of perfectionism to second language (L2) listening comprehension through mediating effects of subscales of self-efficacy along with the use of metacognitive listening strategy (MLS). A sample of 230 English as a foreign language (EFL) participants majoring in Translation studies and English Literature completed the perfectionism, general self-efficacy, and MLS questionnaires and took an IELTS listening comprehension test. The sample included 112 juniors (48.7 %), and 118 seniors (51.3 %) selected through convenience nonrandom sampling. Cluster analysis was used to identify three perfectionistic clusters: adaptive, maladaptive, and non-perfectionists. The results of a path analysis revealed that perfectionism and MLS use were the most significant variables in the proposed conceptual model. While correlational analyses in this study revealed significant relationships among self-efficacy components and listening comprehension, the overall total effects were not significant. Adaptive perfectionism significantly contributed to the MLS use and listening ability (LA). Perfectionism also contributed significantly to the effort and persistence self-efficacy components. In contrast, perfectionism did not significantly influence the initiative self-efficacy subscale. Implications of this study are discussed.