GEN EXPRESSION Programming is the newest method of evolutionary algorithm methods that because of the sufficient accuracy, has more application. GEP using the information in the data and without any assumption on the structure of the relationship between independent and dependent variables identifies an appropriate relationship and predicts the output hydrograph. Dynamic wave method is one of the complicate methods in flood routing and because of the need to hydraulic and cross section data routing by this method is costly and time-consuming. In this study a computer model has been developed in which partial differential equations of unsteady none uniform flow, are solved by staggered method. This model can consider infiltration into river bed. Statistical indicator such as Coefficient of Correlation(R), Mean Absolute Error (MAE), Mean Square Relative Error (MSRE) and Relative Error (RE) are used to comparison two methods. The results of routing of 6 events between 1384 and 1388 indicate that performance of GEP model to predict the volume of output hydrograph is better than dynamic wave model. While, the ability of dynamic wave model to predict hydrograph peak flow and time of peak discharge is more reasonable than GEP model. Hydrograph peak flow discharge is calculated by dynamic wave model with 7.25% mean error and GEP model predict it with 17% error. Also mean error for prediction of time of peak discharge is 1.45% and 2.25% by mentioned models respectively.

Plants as bioreactors are able to produce substances including proteins. In order to produce a protein, the corresponding GEN is introduced into plant cells by two systems: stable GENetic transformation and the use of viral vectors. Tobacco, alfalfa and hevea have been used for this purpose. Peptides such as leu-enkephalin, blood proteins such as albumin, hormones and cytokines such as interferons, immunoGENs such as Hepatitis B surface antiGEN, antibodies such as secretary IgA and enzymes such as glucanase, xylanase, phytase and amylase have been produced by this method.

Background and Aim: Foot& mouth disease (FMD) is a vesicular viral disease which cause severe damage in livestock industry. Today FMD is controlled by traditional inactivated vaccine. Due to short duration of immunity, using molecular adjuvant is recommended to increase efficiency of vaccine. Purpose of this study is synthesis fusion protein from VP1 protein of FMDV (Opanasia2) and flagelline of the Salmonella (fliC) in E. coli. Methods: 1D GENe that is responsible for producing VP1 protein was produced by PCR (800bp) and cloned in PTZ57 vector. After cutting cloned fragment from the recombinant plasmid by HindIII & XhoI, inserted to EXPRESSION vector (pET41b) that containsfli C of the Salmonella. The construct was transfected to competent E. coli (BL21DE3) cell. The EXPRESSION was induced by IPTG (0.5mM) and purified by Ni-NTA Resin. Production of recombinant protein was resolved by SDS-PAGE in 12% acrylamide gel and western blotting. Results: Recombinant fusion protein was evaluated by PCR and enzyme digestion. By molecular analysis, PCR product by length 700 and 1500 bp was observed. Ni-NTA Resin and gradient pH was used for purification. The most amount of protein recovering was observed in pH 4.5. Recombinant protein by molecular weight of 76 KDa determined in SDS-PAGE (12% acrylamide gel) and was confirmed by western blot by AntiHis. In this study, the fused GENe of FMDV vp1 and flagelline of Salmonella (fliC/2200 bp) was cloned successfully in E.coliand recombinant protein (76 KDa) was expressed and purified.

Today, the daily flow forecasting of rivers is an important issue in hydrology and water resources and thuscan be used the results of daily river flow modeling in water resources management, droughts and flood smonitoring. In this study, due to the importance of this issue, using nonlinear time series models and artificialintelliGENce (Artificial Neural Network and GEN EXPRESSION Programming), the daily flow modeling has been at the time interval (1981-2012) in the Armand hydrometric station on the Karun River. Armand station up streambasin is one of the most basins in the North Karun basin and includes four sub basins (Vanak, Middle Karun, Behesht abad and Kohrang).The results of this study shown that artificial intelliGENce models have superior than nonlinear time series in flow daily simulation in the Karun River. As well as, modeling and comparison of artificial intelliGENce models showed that the GEN EXPRESSION Programming have evaluation criteria better than artificial neural network.

Introduction: Type 2 diabetes is a multifactorial disease, but recently it has been found that increased EXPRESSION of MTNR1B GENe is associated with of the risk of type 2 diabetes. The aim of this study was to evaluate the effect of 12 weeks of resistance training on MTNR1B GENe EXPRESSION in the pancreas and glucose and insulin levels in male Wistar rats with type 2 diabetes.Materials and Methods: This study was a fundamental and experimental approach. In this study 30 male Wistar rats weighing 220±20 g, were used. Rats were kept under the standard conditions of temperature of 22±2oC and humidity of 45% and consecutive 12-hour periods of light and darkness. Rats were divided into three groups: Control group, diabetic group, and diabetic plus resistant training group. Diabetes was induced by disolving nicotinamide and STZ in the drinking water. Resistance training was conducted for 12 weeks, 5 days a week in a 3 course with 6 repetitions. All rats were sacrificed 48 hours after the last training session.Results: A significant reduction in fasting glucose levels was observed in the diabetic resistant training group than the diabetic group (P<0.05). Unlike glucose, 12 weeks of exercise training significantly increased serum insulin levels in the diabetic group than before training (P<0.05). On the other hand, MTNR1B GENe EXPRESSION was decreased in diabetic resistance training group than the diabetic group by 93percent (P<0.05).Conclusion: The results showed that twelve weeks of resistance exercise significantly increased serum insulin, a significant reduction in blood glucose and a significant reduction in the MTNR1B GENe EXPRESSION in the pancreatic than diabetic group.

Background and Aim: The hormone receptor status in breast cancer has been pivotal in determining the likelihood of response to hormonal manipulation. Tumors which are both estroGEN and progesterone receptor positive are much more likely to respond to anti-hormone therapy than negative tumors. There is well-established similarity between breast tissue and salivary glands. The aim of this study was to evaluate the progesterone receptor EXPRESSION in pleomorphic adenoma and adenoid cystic carcinoma of salivary glands. Materials and Methods: In this descriptive study, immunohistochemical staining with progesterone antibody was performed on 14 pleomorphic adenoma (PA) and 15 adenoid cystic carcinoma (ACC) paraffin blocks. The percentage of positive cells was determined using an eye piece graticule. Immunoreactivity was categorized as either positive (reactivity more than 5%) or negative (reactivity less than 5%). In addition the existence of progesterone receptor in tumor cells, stromal cells (fibroblasts), inflammatory cells and salivary glands around tumors was evaluated. Data were analyzed with T and Mann Whitney U tests with p<0.05 as the limit of significance. Results: Immunohistochemical staining for progesterone receptor was negative in 15 ACC and 13 PA. Only one case of PA showed immunoreactivity for progesterone receptor. Also, 12 normal salivary glands around tumor were positive. Inflammatory cells, endothelial cells and fibroblasts did not show immunoreactivity in most cases. Conclusion: The results indicate the lack of progesterone receptor EXPRESSION in ACC and PA of salivary glands.

In traditional medicine, the Verbena officinalis is used to treat depression, seizure, jaundice, fever, anxiety, insomnia, abdominal problems, throat inflammation and thyroid problems. The aim of this study was to evaluate the effect of Verbena officinalis extract on scopolamine-induced memory impairment in rats. In this experimental study, 35 rats were randomly assigned into 5 groups: control group, scopolamine (0. 7 mg/kg, i. p., injection) and scopolamine and Verbena officinalis recipients at concentrations of 100, 200 and 400 mg/kg. After 3 weeks of treatment, behavioral tests including passive avoidance memory were performed. The level of malondialdehyde and the antioxidant potential of the serum and brain of the rats were also determined. NMDA receptor subunit GluN2B GENe EXPRESSION was also measured. Treatment of rats with Verbena officinalis increased the secondary delay in the shuttle box test. Treatment with Verbena officinalis also reduced levels of serum and brain tissue malondialdehyde and also increased serum and brain antioxidant capacity. Treatment with 100 doses of Verbena officinalis extract increased the EXPRESSION level of GluN2B GENe in the brain. The findings of this study indicate that the extract of this plant can be a neuropharmacologic aGENt against memory disorders and oxidative stress induced by scopolamine in rats.