Objectives: One of the education ministry’s concerns in high schools is the problem of academic achievement. The researches have mentioned that student’s false attribution and absence of scholastic counseling service are the most important factors affecting student’s low performance and achievements. The main goal of this research was to study the rate of cognitive reconstructive effect on attr...

Introduction: Cone beam computed tomography (CBCT) is a new method that is able to provide three-dimensional images in radiology and is useful for dentomaxillofacial imaging. This study aimed to investigate the cases administrated CBCT by dentists of Kerman (2015 year). Methods: This cross-sectional study was conducted on dentists in Kerman. The data were gathered using standard research q...

In this paper we investigate the performance of common capture models in terms of the fairness properties they reflect across contenting hidden connections. We propose a new capture model, Message Retraining,as a means of providing an accurate description of experimental data. Using two fairness indices we undertake a quantitative study of the accuracy with which each capture model is able to r...

In machine learning, symbolic approaches usually yield comprehensible results without free parameters for further (incremental) retraining. On the other hand, non-symbolic (connectionist or neural network based) approaches usually yield black-boxes which are diicult to understand and reuse. The goal of this study is to propose a machine learner that is both incrementally retrainable and compreh...

A wide range of equipment is available for use in ALS. The role of such equipment should be subject to constant evaluation. The use of any item of equipment requires that the operator is appropriately trained and maintains competency in its use. Frequent retraining (theory and practice) is required to maintain both BLS and ALS skills. The optimal interval for retraining has not been established...

Kernel pruning methods have been proposed to speed up, simplify, and improve explanation of convolutional neural network (CNN) models. However, the effectiveness a simplified model is often below original one. In this letter, we present new based on objective subjective relevance criteria for kernel elimination in layer-by-layer fashion. During process, CNN retrained only when current layer ent...