In the area of teaching translation, investigating the effectiveness of technological solutions in developing translation skills is both timely and in demand. As the first step, one can try to explore feedback generated by machines compared to humans. The purpose of this study was to examine the impact of electronic feedback provided by the designed translation software on the translation skill...

Abstract This research has aimed to examine the feedback effects between economic growth and environmental degradation through health that is one of human capital elements and also the consequences of such these relationships on economic convergence process during the period 1990-2013 for 60 developing countries in framework of simultaneous equations model by using unbalanced panel data analysi...

Article history: Received 5 May 2014 This study examines the motives mentors have for providing developmental support to their protégés. Based on qualitative interviewswith 20 informalmentors, we show five broad categories of mentor motives: self-focused motives (based on individual reasons), protégé-focused motives (directed at the protégé), relationship-focused motives (directed at the relati...

Characterizing the wave field produced by an ultrasonic transducer is one important part of developing a complete measurement model of an ultrasonic NDE system. Within the paraxial approximation [1], this wave field can be expressed as a quasi plane wave field modified by a diffraction correction tenn to account for the 3-D effects of having a finite beam generated by the transducer. Previously...

Abstract The present study intended, firstly, to investigate the effect of web-integrated instruction on self-regulated learning ability in EFL writing, and secondly, to compare and contrast the effects of paper-based feedback and web-assisted feedback on the self-regulated learning ability. To this end, a quasi-experimental design was applied for both cases. In line with the first objective, ...

Explaining the decision mechanism of Deep Convolutional Neural Networks (CNNs) is a new and challenging area because “Black Box” nature CNN's. Class Activation Mapping (CAM) as visual explainable method used to highlight important regions input images by using classification gradients. The lack current methods use all filters in last convolutional layer which causes scattered unfocused activati...