background : due to the recognized benefits of breastfeeding, health policies have been based on the promotion of breastfeeding and it seems that one suitable way to promote breastfeeding is electronic learning. in this survey, the impact of a breastfeeding electronic education package on mothers’ knowledge of breastfeeding was evaluated. methods: this quasi-experimental and single blind study ...

background breast milk is the best and most effective food for infants and their survival and health. promotion of breastfeeding self-efficacy is a goal of breastfeeding education. the purpose of this research was to teach breastfeeding through role-playing and explore its effects on breastfeeding self-efficacy among pregnant women referring to healthcare centers of isfahan, iran. materials and...

Nowadays customer attrition is increasingly serious in commercial banks, particularly, high-valued customers in retail banking. Hence, it is encouraged to develop a prediction mechanism and identify such customers who might be at risk of attrition. This prediction mechanism can be considered to be a classifier. In particular, the problem of predicting risk of customer attrition can be prototype...

artificial neural network is one of the most robust and reliable methods in online prediction of nonlinear incidents in machining. tool flank wear as a tool life criterion is an important task which is needed to be predicted during machining processes to establish an online tool life estimation system. in this study, an artificial neural network model was developed to predict the tool wear and ...

We describe the integration of the EMPA based software tool TwoTowers and the GSPN based software tool GreatSPN, in order to fully realize a multiparadigm approach to the functional and performance modeling and analysis of concurrent and distributed systems. The integration is achieved via an improved semantics mapping EMPA terms onto GSPN models.