With the quick emergence of computers and related technology, Electronic-learning (E-learning) and Information Communication and Technology (ICT) have been extensively utilized in the education and training field. Miscellaneous methods of integrating computer technology and the context in which computers are used have affected student learning in many different ways. Integration of technology can help to create courses that are easier and more effective for learners, especially if ICT and E-learning are integrated into the educational process. ICT, when used in a sufficient and suitable manner, can help learners to understand IT better. Moreover, it can help learners to use the absolutely necessary skills which can guarantee success in empowering the learners with IT awareness and skills which are essential for success in today's knowledge economy. This study aims to conduct a survey on the role of E-learning and ICT courses in educational environment. By having ICT courses available online via E-learning, every learner will adapt and be comfortable with the continuous upcoming technologies and innovations.

Data mining techniques, extracting patterns from large databases have become widespread in all life’s aspect. One of the most important data mining tasks is classification. Classification is an important and widely studied topic in many disciplines, including statistics, artificial intelligent, operations research, computer science and data mining and knowledge discovery. One of the important things that should be done before using classification algorithms is preprocessing operations which cause to improve the accuracy of classification algorithms. Preprocessing operations include various methods that one of them is normalization. In this paper, we selected five applicable normalization methods and then we normalized selected data sets afterward we calculated the accuracy of classification algorithm before and after normalization. In this study the SVM algorithm was used in classification because this algorithm works based on n-dimension space and if the data sets become normalized the improvement of results will be expected. Eventually Data Envelopment Analysis (DEA) is used for ranking normalization methods. We have used four data sets in order to rank the normalization methods due to increase the accuracy then using DEA and AP-model outrank these methods.

Recently, light emitting diodes (LEDs) have been introduced as a potential physical factor for proliferation and differentiation of various stem cells. Among the mesenchymal stem cells human umbilical cord matrix-derived mesenchymal (hUCM) cells are easily propagated in the laboratory and their low immunogenicity make them more appropriate for regenerative medicine procedures. We aimed at this study to evaluate the effect of red and green light emitted from LED on the neural lineage differentiation of hUCM cells in the presence or absence of retinoic acid (RA). Harvested hUCM cells exhibited mesenchymal and stemness properties. Irradiation of these cells by green and red LED with or without RA pre-treatment successfully differentiated them into neural lineage when the morphology of the induced cells, gene expression pattern (nestin, β-tubulin III and Olig2) and protein synthesis (anti-nestin, anti-β-tubulin III, anti-GFAP and anti-O4 antibodies) was evaluated. These data point for the first time to the fact that LED irradiation and optogenetic technology may be applied for neural differentiation and neuronal repair in regenerative medicine.

This study aims to use an experimental research design to enhance teaching efficacy by social-emotional skills training in teachers. The statistical sample comprised of 68 elementary teachers (grades 4 and 5) with at least 10 years teaching experience and a bachelor's degree who were randomly assigned into control (18 female, 16 male) and experimental (20 female, 14 male) groups. During ten weekly sessions of training the experimental groups learned a set of social-emotional skills (interpersonal-intrapersonal skills). Bar-On social emotional scales (adult version) and a researcher-made questionnaire for teaching efficacy were used to collect the required data. Independent t-tests, mix models of variance, multivariate analyses of variance, and regressions were used to compare the mean of social-emotional intelligence and its components and teaching efficacy differences between and within groups. The results showed that training had a significant effect on increasing social emotional skills and its components of the experimental group teachers. This research also showed a positive correlation between the enhancement of emotional skills and effective teaching. To be most effective, emotional skills training programs need to be applied in the classroom consistently across the curriculum, and teachers` involvement with these skills is needed to promote their social-emotional abilities.

For years, tangible assets used to be the most important precious wealth of organizations. However, the recent advances in technology has changed this concept and today, intangible assets such as human resources, customers, processes are playing essential roles on making strategies. In this paper, we present a study to setup appropriate strategies using the implementation of balanced score card in four perspectives of customers, processes, learning and financial. The proposed study of this paper gathers important factors through three different brainstorming sessions and prioritize them using TOPSIS method. Based on the results of MCDM technique, selecting appropriate target market for penetration is the number one priority followed by having good accounting system and preparing for more diversified production. These are the most important items influencing strategic planning. Therefore, the study uses BSC for the first two important strategies and discusses possible actions for productivity improvement.