فهرست مطالب s mansouri

In this paper, main effects and the interactions of operating conditions were investigated using response surface methodology and statistical analysis in the presence of Co/Al2O3 catalyst in a CSTR reactor. Analysis of variance demonstrated that the second-order polynomials adequately predicted the responses. The selectivity of CO2, CH4, and CO conversion increased by the decrement of syngas flow rate. Increasing the pressure to 22 bar led to the increasing of CO conversion and CO2 selectivity; indicating the promotion of the water-gas-shift reaction in these conditions. Rising syngas flow rate caused decreasing the CO conversion and increasing C5+ selectivity. Minimum CO2 selectivity was achieved at the syngas flow rate and pressure of 61.9 Nl/h and 15 bar, respectively. Multi-objective optimization showed that minimum CO2 selectivity (2%) and methane selectivity (16.4%), as well as maximum CO conversion (53.8 %) and C5+ selectivity (68.3%) obtained at the syngas flow rate and pressure of 47.8 Nl/h and 15 bar, respectively.

Since there is no information available regarding crop management, including proper planting arrangement and optimal planting density, of the imported shattering tolerant sesame genotypes, field experiments were carried out in research fields of Seed and Plant Improvement Institute, Karaj, and Khorasan Razavi Agricultural and Natural Resources Research Center, Mashhad, Iran, in 2019 and 2020. The effect of experimental factors including; 30, 45 and 60 cm inter row spacing, and 5, 8, 11 and 14 cm intra row spacing were evaluated as split blocks (strips) arrangements in randomized complete block design with three replications. The results showed that there was reduction in number of sub-branches in both locations due to reduction in inter row spacing and intra row spacing. On the other hand, the reduction in plant density m-2 increased the number of capsules plant-1 and seed number capsule-1. The highest seed yield (1342 and 604 kg ha-1 in Karaj and Mashhad, respectively) obtained from the 45 × 8 and 45 × 11 planting arrangement in Karaj and Mashhad, respectively. Generally, the results indicated that there is an optimal planting arrangement and planting density for each location. Therefore, due to increased competition between plants in high plant density and lack of proper utilization of resources in low plant density, it would not be possible to attain the highest yield potential of shattering tolerant sesame genotype in high and low plant density.

The main purpose of the present study was to evaluate the safety and efficiency of concurrent administration of hydroxychloroquine (HCQ) and whole brain radiation therapy (WBRT) in patients with brain metastases. Based on numerous preclinical reports, inhibition of autophagy by HCQ can significantly enhance the efficacy of DNA-damaging therapies improving results of radiation therapy. The primary end point of this study was response to treatment and complications, determined by the National Cancer Institute Common Toxic Criteria for Adverse Events (CTCAE) scale V5.0.

Patients with pathologically-confirmed primary solid malignancies together with single or multiple brain metastases on magnetic resonance imaging (MRI) were enrolled in the study (n=64). Treatment with HCQ (200 mg/P.O. once daily) was begun concurrent with WBRT (total dose of 30 Grays (Gy) in 10 daily fractions) in case group. Control group received the standard regimen.

Analysis of complications and response rate at each follow up points revealed no statistically significant differences between the case and control groups. Although, median brain metastasis specific Progression Free Survival (PFS) was non-significantly longer in HCQ group compared to control. No grade 3 or more severe toxicities were reported during therapy in both groups of the study.

Although concurrent administration of HCQ with WBRT in patients who suffers from brain metastases was well tolerated, this combination did not meaningfully improve outcomes in comparison to WBRT alone.

Despite the high potential of sesame production in the country, its yield and water use efficiency is low. Therefore, identifying genotypes with high grain yield, especially under drought stress conditions, is essential for developing this crop. For this purpose, field experiments were conducted to investigate the qualitative and quantitative response of 21 sesame genotypes to drought stress conditions at Seed and Plant Improvement Institute, Karaj, located in the semi-arid region of Iran, during the 2017 and 2018 growing seasons. The experiment was a split-plot based on a randomized complete block design with three replications. The irrigation treatments consisting of normal irrigation and drought stress were assigned to the main plots and the sesame genotypes (20 imported genotypes with one Iranian cultivar as a control) were allocated to the sub-plots. Dongeuy, Local 123, Hail 2 and Anthalya 1 genotypes were found as early maturing, Gynum 11, Kubarez 55, Uusu 1, Songhak, Hoechon 2, Dunae, Pachequero, Haibuk and Sunhua 1 genotypes as the medium maturing, Lao hong zhi ma, Bian gan, Bukbak, Margo, Amaliada, Jungkyung and Black chil sung genotypes as the late maturing and Oltan genotype as the very late maturing group. The Margo genotype showed the highest LAI (3.2), and Sunhua 1 genotype showed the lowest value (1.0). The results also revealed that drought stress decreased the number of capsules per plant, the number of seeds per capsule and 1000-seed weight by 35, 44 and 35%, respectively. On the other hand, drought stress caused a reduction in grain and dry matter yield in all genotypes. The Dongeuy genotype with 50% reduction and Songhak genotype with 26% reduction in grain yield showed the highest and lowest sufferings from drought stress, respectively. The Margo genotype produced the highest grain yield in both irrigation treatments (1531 and 1107 kg ha-1 under normal irrigation and drought stress treatments, respectively). In conclusion, the Songhak genotype was considered as one of the superior genotypes due to its shorter growing period, less grain yield loss under drought stress, and high oil yield.

This paper studies the defects graphene and diffusion of helium gas through nanoporous graphene membranes in the presence of natural gas. Due to study the doping effect on to the diffusion process, the helium gas atom passes through the created cavities in the doped nanoporous graphene membranes of C90H27, C90H30, C90H24, and C87H24F3. Because of Helium is one of the most important industrial gases and its separation is important in oil, gas and petrochemical industries. the present study can be used as a theoretical study to develop a new and important industrial method for separation helium in the Presence of Natural Gas. Suitable defective graphene was used as the selective membrane for helium gas release in the presence of natural gas containing methane, nitrogen, hydrogen, helium and carbon dioxide. All DFT calculations were performed using the Gaussian 09 program. The results analysis using (AIM) and (NBO) showed that C90H24 has the highest probability of helium passing through natural gas. Finally, the inlet and outlet concentrations of the pore were investigated to determine the amount of helium. According to this study, it is suggested that this result could be a good solution for extracting helium from natural gas in oil wells.

Identification of genotypes adapted to a particular region is of special interest to breeders and plant geneticists. In order to identify adapted genotypes in sesame lines based on multi-trait selection, an experiment was conducted in a completely randomized block design with four replications at Moghan Agricultural Research Station of Ardabil Agricultural and Natural Resources Research and Education Center during the years 2017 and 2018. The genetic materials evaluated in this study were consisted of 14 superior lines from preliminary yield trails of the three different regions evaluated in 2016 (Derived from the management of segregated generations in a pedigree way) and Oltan cultivar as a check. Combined analysis of variance showed that the genotype and genotype × year interaction effects were significant for all of the studied traits. Biplot analysis of sesame genotypes showed that the first two components explained the 55.3% of the total variations of traits. Which-won-where/what polygon pattern based on different traits of sesame genotypes showed that G3 and G8 had the highest yield and yield components such as plant height, number of capsules per plant and oil content, respectively. Based on comparing of genotypes with ideal genotypes biplot, Shukla stability index, superiority index and heat map analysis, genotypes G3, G8 and G9 were better than Oltan cultivar, thus identified as the best genotypes. These genotypes have the potential to be used in research-extension trials for introduction as a new cultivar for cultivation in Moghan region.

Gestational diabetes is one of the most common diseases in pregnancy with transient effects on fetuses and mothers. The aim of this study was to assess effects of aerobic training and dietary approaches to stop hypertension diets on insulin response and resistance in women with gestational diabetes.

In this quasi-experimental study, 30 obese women with gestational diabetes at 24–28 weeks of gestation with an age range of 30–40 years were selected using random sampling and randomly grouped into three ten-sample groups of dietary approaches to stop hypertension diets, aerobic training, and dietary approaches to stop hypertension diets and aerobic training. In aerobic training group, the eight-week training protocol started at 30% of the stored heart rate for 30 min and finished at 70% of the heart rate for 45 min. For macronutrients, dietary approaches to stop hypertension diets were similar to normal diets but rich in fruits (4–6) unit, vegetables (3–6) unit, whole grains (6–13) unit, low-fat dairy products (2–4) unit and (1) unit of nuts, fats and oils (2–3) unit as well as meats, poultries and fishes (2) unit and contained small quantities of saturated fats with 2400 mg of sodium per day. Blood sampling was carried out to assess biochemical variables after 12 h of fasting at the beginning and end of eight weeks. Fasting blood sugar, 2-h blood sugar and insulin were assessed in fasting blood samples. Data were analyzed using Shapirville test, Leven test, correlated T,  analysis of variance and Bonferroni. Significance levels were reported for the statistical methods when p < 0.05.

Results showed that eight weeks of aerobic training with dietary approaches to stop hypertension  diets decreased fasting blood sugar levels (p = 0.001), 2-h blood sugar (p = 0.001) and insulin resistance (p = 0.02) and increased insulin levels (p = 0.002) in women with gestational diabetes (p < 0.05).

It seems that aerobic training in combination with dietary approaches to stop hypertension diets is effective in improving blood sugar control and blood insulin levels in women with gestational diabetes.

The purpose of this study was to investigate the effectiveness of storytelling based on a multi-sensory method on emotional processing in children with dyslexia in primary school children of Tabriz. The research method was semi-experimental with pretest-posttest design and a control group. The statistical population of this study included all elementary students with dyslexia from which thirty people were randomly selected from schools. After conducting an interview to ensure the test results, the participants were randomly divided into one experimental group (N=15) and a control group (N=15). The experimental group participated in nine 20-minute sessions in which storytelling was performed with a combination of Fernald's multisensory approach. To collect data, the emotional processing scale of Bucker et al., (2007) was used. Data analysis was performed using Covariance analysis in SPSS software. According to the findings of Covariance Analysis and testing of the hypotheses of this research, it was determined that implementation of storytelling method based on multi-dimensional has a significant impact on emotional processing and its components (harassment, repression, lack of awareness, lack of control, separation, and avoidance) of children with dyslexia. We can reinforce emotional processing and its components in children through using this method.

Portland cement CEM I is obtained from (95–97%) of clinker and (3–5%) of gypsum, according to EN 197-1 (2011) standard. Sulfur trioxide SO3 is the main component of gypsum (Calcium Sulfate Dihydrate CaSO4_2H2O), it may also originate from clinker, the previous standard has limited its content in cement at 4%. It is known that the gypsum acts as a cement setting regulator, however, an appropriate gypsum quantity (optimum) may improve other properties such as: mechanical response, dimensional variations and hydration process. This optimum gypsum content is related to several parameters, namely: SO3 %, cement SSB (specific surface Blaine), C3A % and alkali %. The aim of this work is to find, through an experimental protocol, the optimum gypsum content of an Algerian Portland cement CEM I. 10 variants containing various % of gypsum were formulated, where properties of anhydrous cements, cement pastes and normalized cement mortars were studied. Results show that when gypsum is added below or above the optimum, water demand for normal consistency, setting times, compressive strength, heat of hydration, swelling, drying shrinkage and hydration degree were adversely affected. It has been experimentally demonstrated that this optimum gypsum content is 5.5% by weight.

Morphological river models are designed to provide physical insight into the morphological response and to assist river engineers and managers in the design, operation and maintenance of river systems. Here deterministic modeling weak for a dynamic and stochastic of nature river environment. Specially, these could not predict the exact shape of the river bed, Specially e.g. for braided river because the bed level variability and variations in cross-sectional. Since a stochastic model approach copes with the variability of system behavior of the time, therefore need for Stochastic modeling on the location of morphological changes in rivers and variations in river bed seems necessary. Many large rivers in the world have recently undergone through a great deal of morphological changes, Which has led to the development of local scouring, therefore, it has become an important problem for the river engineering. The change of river morphology is evaluated by braid parameter in braided rivers. A decrease in braid parameter results in a braided channel changes to meandering. As a result, local scouring process is accelerated. Since Process of the changes in river cross section are usually caused by change in water and sediment discharges or by river works. Moreover, river gradient plays a key role in channel morphological changes therefore In this research, local scouring relationship with river morphologic changes are investigated by stochastic modeling in braided rivers based upon for parameters such as maximum water, sediment discharges, river bed gradient river and bed elevation. The model was then tested by data obtained from Yahagi river in Japan. That the month Maximum Stream flow data is predicted by time series models (ARIMA) and three sediment transport equation were used to calculate the bedload such as Bagnold, Meyer-peter and Einstien Brown. predicted results show If calculate the bedload with the Bagnold equation, this model could predict significantly in cross-sectional and local scour depth, predict river morphological changes.

High status of sesame (Sesamum indicum L.) among oil-seed crops, requires identification of relationship between yield components and yield potential. The information are important for its yield improvement. This study was carried out on 32 multi-branched sesame genotypes. Positive and significant correlations were detected between number of capsules per plant, number of seeds per capsule, length of main inflorescence and 1000-seeds weight. However, distance of the first branch and first capsule from soil surface showed significant and negative correlation with seed yield. Based on stepwise regression and consequently ordinary path analysis, number of capsules per plant, number of seeds per capsule, length of main inflorescence, and 1000- seeds weight had the highest direct effects on yield formation, respectively. Comparing with ordinary path analysis, sequential path analysis showed higher values for direct effects of main inflorescence length, number of capsules per plant, and 1000-seeds weight, and indirect effect of number of branches per plant and main inflorescence length through number of capsule per plant. Factor analysis showed three factors explained about 80% of total data variations. First factor compared number of capsules per plant, length of main inflorescence versus distance of first capsule and first branch from soil surface. The second factor had positive effects on capsule length, number of seeds per capsule, and 1000-seeds weight. Third factor had positive effects on number of capsules per plant and number of branches per plant. These results are similar to correlation analysis results. Based on path analysis and specificity of factors, selection for lower distance of first capsule and first branch from soil surface (which could be done in early fruit set stages) has the same results as the selection for higher number of capsules per plant and main inflorescence length toward yield improvement. The results of selection based on higher number of seeds per capsule and 1000-seeds weight (which have less direct effects on seed yield) could be achieved by selection based on longer capsule length. The latter traits could be measured non-destructively. The nature of third factor indicated selection based on number of branches per plant might result in an improvement in seed yield.