Background: In various researches, ICA is used for detecting and removing eye artifacts but here, for innovation, ICA algorithm is used not only for detecting eye artifacts, but also for detecting brain signals of two conceptual categories of the words Danger and Information.

  Materials and Methods: In this descriptive- analytical study, recording is done by using a Micromed device and a 19-channel helmet in unipolar mode that the Cz electrode is selected as reference electrode. The statistical community included four men and four women in the age range of 25-30. In the designed task, three groups of traffic signs are considered in which two groups refered to the concept of danger and the other one refered to the concept of information.

  Results: For two of the eight volunteers, alpha waves were observed with a very high power from back of the head in the test time, but it was different in thinking time. According to this alpha waves, in changing the task from thinking to rest, it takes at least 3 and at most 5 seconds for two volunteers till they go to the absolute rest. For seven of the eight volunteers, danger and information signals well separated that these differences for five of the eight volunteers observed in the right hemisphere and for the other three volunteers in the left hemisphere.

  Conclusion: ICA algorithm as one of Blind Source Seperation (BSS) algorithms is suitable for recognizing the word’s concept and its place in the brain. Achieved results from this experiment are the same as the results from other methods like fMRI and methods based on electroencephalograph (EEG) in vowel imagination and covert speech.

Background: The purpose of this research is to design a Brain-Computer Interface to discriminate the brain signals while the brain images four main directions. To be innovative, the subjects have imaged the aimed directions by power of imagination, and for the first time, the ICA algorithm has been used to detect the aimed signal and to eliminate the artifacts.

Materials and Methods: In this descriptive-ana alytic study, signals are recorded by using a Micromed device and a 19-channel helmet in unipolar mode. The statistical population included three persons in the age range of 25 to 30 and the designed task consisted of 24 slides of four main directions.

Results: Simulations have shown that the best classification accuracy was the outcome of the 2.5-second time windowing and the best choice for extracting features was the AR coefficients of 15 order. There was no significant difference between the classification accuracy of different implementation of the Artificial Neural Network classifier with different number of layers and neurons and different classification functions. In comparison with the Neural Network, the Linear Discriminant Analysis (LDA) showed better classification accuracies.

Conclusion: The results of this research are in accordance with the results of the methods such as FMRI and methods based on the brain signals in vowel imagination. In this research, the best classification accuracy was obtained from the Linear Discriminant Analysis classifier by extracting the target signal from the output of the ICA algorithm and extracting the AR coefficients as feature and the 2.5-second time windowing. The Linear Discriminant Analysis classifier result the best classification accuracies.

Background: Cardiac troponin T and creatine kinase are used as biological markers for cardiomyocytes and its levels in serum are used as indicators of myocardial cell injury. The purpose of this study was to compare the effects of 3 different training protocols (runing, swimming, and pedaling training) on myocardial cell injury biomarkers in young girls.

Materials and Methods: In this semi-experimental study with pretest–posttest design, ten healthy young girls (aged 23.0±1.6 y) were selected in a convenience sampling way. The subjects performed three types of exercise in 7 days interval. Blood sample was assessed before and after the exercise sessions. Data were analyzed using t-test and analysis of variance.

Results: Our results indicated that creatin kinase increased significantly after three types of exercise (p<0.05). Running exercise led to greater increase in serum creatine kinase (p<0.05). Also, troponin T levels significantly were increased after three types of exercise (p<0.05), although no significant differences were observed between exercise types (p>0.05).

Conclusion: Our data suggest that intensive exercise is associated with cardiac damage in less trained girls and the type of exercise is determinants of the magnitude of myocardial injury biomarkers release.

Background: Brucella is an intracellular bacterium that causes chronic infection in humans and domestic animals. The underlying mechanisms that cause prolonged illness are complex and not fully understood. Immune responses may have an important role in the chronicity of infection. Here, we evaluated the lymphocyte proliferation responses in patients with chronic and acute brucellosis.

Materials and Methods: This descriptive - analytical study was performed on 22 patients with acute brucellosis, 21 patients with chronic brucellosis and 21 healthy people with the similar age, sex and genetic background as control group. Peripheral lymphocytes were isolated using Ficoll and the cellular proliferation was quantified in presence of antigen and phytohemaglutinin-A by MTT method.

Results: The brucella antigen-specific stimulation index in patients with chronic brucellosis was significantly lower than the acute brucellosis patients (p=0.001). Also, stimulating the lymphocytes with phytohemaglutinin-A has shown that proliferative response in patients with chronic brucellosis was lower than the other groups (p=0.04).

Conclusion: The results indicated that chronic brucellosis inhibits lymphocyte proliferation. This inhibition of lymphocyte proliferation may be due to the induction of anergy.

Background: The aim of this study was to compare the efficacy of ondansetron, Midazolam and metoclopramide with placebo in preventing PONV following strabismus surgery.

Material and Methods: 160 patients were allocated with simple randomization in 4 groups of 40: group ON received Ondansetrone 0.05mg/kg, MT group received Metoclopramide 0.15mg/kg, MD group received Midazolam 0.03mg/kg intravenously and group CT received the solution of NaCl 0.9% as placebo infused with the same volume and the same manner 30 minutes before the end of surgery. The patients were evaluated for nausea, vomiting, need and  dosage of anti-emetic drugs, time of liquid and solid diet tolerance, drug complications and satisfaction score for the initial 24 hours after anesthesia.

Results:  The frequency of nausea (p-value = 0.001< 0.05) and vomiting (p-value=0.084>0.05) was lower in ON group and both of these complications were lower in MD group compared with MT and CT group. Use of rescue antiemetic was higher in MT and CT group (p-value = 0.001 < 0.05). Patient satisfaction was higher in ON group compared with other 3 groups (p-value=0.001<0.05).

Conclusion:   Prophylactic use of Ondansetron is more effective with fewer side effects than Metoclopramide and Midazolam in the prevention of PONV following strabismus surgery. Furthermore, metoclopramide was less effective and was associated with more adverse effects.