In this paper, we focus to find desired node position in indoor environments using a Sequence of Observations and user movement records. For this purpose, we first record the user's movements in indoor environments by defining a set of states and several matrices, which are Viterbi inputs. To record the fingerprints of the environment, we move across the entire coordinates of the building to collect and record the fingerprints of different places. In the online phase, we use the Weighted K-Nearest Neighbors (WKNN) algorithm in parallel to check the accuracy of both WKNN and Viterbi algorithms and to correct the WKNN behavior by Viterbi. During this phase, an experimental node is inserted into the environment and moves in the desired direction by determining the destination. The proposed method calculates the current location of the node and its most probable location in the next step. The results of the implementation and testing of the proposed algorithm in the Faculty of Engineering, Arak University, show the optimal performance of the proposed idea for predicting the location and path of the node.

Background: Observational learning is an effective pedagogical approach that can be used as a method to improve motor skill acquisition and also a useful instrument to promote psychological variables such as self-efficacy by emphasizing the motivational aspect. Although, little research is known about the model type and the Observation conditions which will optimize learning. Aim: This study aimed to clarify the effect of using a combination of ideal model-Observation and self-Observation on self-efficacy and learning the forehand service of table tennis. Materials and Methods: Forty females were assigned to one of four experimental groups. All groups received the same instructions concerning how to perform the task, filled out a self-efficacy questionnaire, and then performed 10 pre-test trials. The acquisition phase included six sessions. The retention test was done 72 hours after the last acquisition session. Mixed ANOVA with repeated measures and Bonferroni post hoc tests were conducted, and one-way ANOVA was used to determine group significant differences. Results: The results indicated that observing the combination of skilled and learning models led to the highest self-efficacy for learning, compare with other experimental models. Also, significant learning of the task was shown in the acquisition phase in which the performance of all three experimental groups was clearly superior to the control group. Although in this phase there was no significant difference between the performances of two groups of combined skilled-learning and skilled. The results of the delayed retention test indicated that the performance scores of the combined skilled-learning group were significantly higher than the other three groups. Also, in this phase, the difference between the combined skilled self-Observation and control or skilled groups was not significant. Conclusion: Demonstrating a skilled model is the most popular type of Observational learning among the instructors and physical education teachers, it is suggested that adding a learning model to that leads to better performance and enhancing the self-efficacy.

Pregnancy is not safe when accompanied by heart disease. It threatens both mother and fetus. Heart disease is one of the most important causes of mortality in pregnant women. This study was conducted over a 4-year period (1995-2000) in Alzahra and Shahid Beheshti Hospitals, Isfahan, Iran.135 patients were selected, 31 of whom underwent therapeutic abortion and 104 were studied until the end of the pregnancy. 87.4% of the patients had rheumatic heart disease and 5.92% suffered from a congenital heart disease. Of the 104 patients studied, 88 (84.6%) had full term pregnancy and 16 (15.4%) had preterm labor. 71% of the patients were discharged from the hospital after 5 days.82.7% of the patients had normal delivery and 17.3% gave birth by cesarean section. Body weights of 9.8% of the neonates measured less than 2500 grams, and 73.5% were in the normal weight range (2500-3500 grams). 25% of neonates born to mothers with history of cardiac surgery had low birth weight.Rheumatic heart disease in Iran is the most common heart problem during the reproductive years. Women with rheumatic heart disease can have safe and near-normal pregnancies provided they are identified before pregnancy.