zahedi

Being consistent with human nature and enjoying precision and philosophy for their setting, Islamic rules are easy and flexible in order to relieve their audience of the new situations and states caused by difficulties and entanglements and to help them. In spite of this fact, some people try to show a rough, static, and indifferent picture of Islam in respect of any change and reform. The present research aims at extracting the different types of flexibility out of the Holy Quran’s rules and laws and explaining the situations that leads to changing the primary rules. The results of the study show that the Divine law never stops, but it may be reduce or change into another law due to the different reasons and situations. Even the legally competent person has the right to choose from among a number of actions depending on his/her power or to show a better reaction toward the action of the other party compatible with his/her act.

The present paper is an attempt to study the minimal BL-general fuzzy automata which realizes the given fuzzy behavior. Of two methods applied for construction of such automaton presented here, one has been based on Myhill-Nerode's theory while the other has been based on derivatives of the given fuzzy behavior. Meanwhile, the categories of BL-general fuzzy automata and fuzzy behavior, along with a functorial relationship between them, are introduced.

The hatching rate and larval survival of shoemaker rabbit fish Siganus sutor at different environmental conditions were surveyed in 2014. Adult and sub adult fishes were captured from coastal waters of Lavan Island, Hormozgan Province, Iran and were transported to Persian Gulf and Oman Sea Ecological Research Center, and reared until reproduction season. Induced spawning took place using HCG hormone (500 IU kg-1 body weight), during April – May when the environmental temperature was reached around 26-28 oC. Eggs were stocked at a density of 25 Eggs L-1 in different tank size (40, 300 and 2400 L, tanks) to determine the effects of tank size on eggs,  hatching rate  and survival of fish larvae. Three  salinities (25, 30 and 37 ppt), and three light intensity (10000, 5000, and 2000 lux) were examined  in 300L tanks and survival rates of larvae were assessed on days 3, 5, 7, 10, 15 and 20 of culturing period. There was no significant difference between hatching rate of S. sutor eggs, in various hatching tanks (p>0.05), but survival rates of larvae was significantly higher in 300 Land 2400 L tanks (p<0.05), the survival rate of S. sutor larvae was significantly higher in 30 ppt salinity than the others (p<0.05). There was no any significant difference between survival rate of larvae in salinity 25 and 37 ppt (p>0.05). The survival rate of larvae was significantly higher in 2000 lux intensity of light (p<0.05), under intense light (5000 and 10000 lux), the mortality of larvae was increased.

In order to study the effect of water deficit and foliar application of salicylic acid and spermine on the phenological stages and caffeic acid derivatives yield of Echinacea purpurea L., a three replicated split- plot experiment was conducted based on a randomized complete block design during 2016 and 2017 growing seasons at the research field of Research Institute of Forests and Rangelands, Iran. In this experiment, three irrigation regimes (irrigation after 20, 40 and 60% depletion of soil available water) were accommodated in main plots and salicylic acid (SA) and spermine (SPM) spray treatments (Control (no spray), spray at five levels of 75 mg/l SA, 150 mg/l SA, 75 mg/l SPM, 75 mg/l SA+75 mg/l SPM and 150 mg/l SA+75 mg/l SPM) were considered in subplots. The exogenous SA and SPM were applied on the foliage at two steps, 10-days apart and at the beginning of stem elongation stage. The effects of irrigation regime and spray treatments were significant on the traits studied. Drought stress decreased the number of days to phenological stages, the yield of echinacoside and cynarin in flower and cichoric acid, and caftaric acid and cynarin in leaves, but increased the yield of chlorogenic acid in flowers and caffeic acid derivatives (cichoric acid, echinacoside, chlorogenic acid, caftaric acid and cynarin) in roots. The foliar application of salicylic acid and spermine increased all studied traits. The interaction between water deficit and foliar spray was significant on the yield of caffeic acid derivatives in roots. The highest yield of cichoric acid (9.49 kg/ha), echinacoside (0.67 kg/ha), chlorogenic acid (0.26 kg/ha), caftaric acid (7.31 kg/ha) and cynarin (0.27 kg/ha) in roots was obtained at irrigation after 60% depletion of soil available water and simultaneous application of high concentrations of SA and SPM. Based on the results of the present study, the foliar application of SA and SPM improved the yield of caffeic acid derivatives in coneflower under both normal and water stress conditions.

Data mining is an appropriate way to discover information and hidden patterns in large amounts of data, where the hidden patterns cannot be easily discovered in normal ways. One of the most interesting applications of data mining is the discovery of diseases and disease patterns through investigating patients' records. Early diagnosis of diabetes can reduce the effects of this devastating disease. A common way to diagnose this disease is performing a blood test, which, despite its high precision, has some disadvantages such as: pain, cost, patient stress, lack of access to a laboratory, and so on. Diabetic patients’ information has hidden patterns, which can help you investigate the risk of diabetes in individuals, without performing any blood tests. Use of neural networks, as powerful data mining tools, is an appropriate method to discover hidden patterns in diabetic patients’ information. In this paper, in order to discover the hidden patterns and diagnose diabetes, a water wave optimization(WWO) algorithm; as a precise metaheuristic algorithm, was used along with a neural network to increase the precision of diabetes prediction. The results of our implementation in the MATLAB programming environment, using the dataset related to diabetes, indicated that the proposed method diagnosed diabetes at a precision of 94.73%,sensitivity of 94.20%, specificity of 93.34%, and accuracy of 95.46%, and was more sensitive than methods such as: support vector machines, artificial neural networks, and decision trees.

Integrated culture of Litopenaeus vannamei postlarvae with different densities of Gracilaria corticata was examined during a 30-day period from July 17 to August 16,  2018. Four  treatments of nursing the whiteleg  shrimp L. vannamei  post larvae (PL15) at a density of 2000 Pl/m2 integrated with  different densities of red sea weed (0, 400 , 800  and 1200 g algae/m2) (T1,T2, T3 and T4) plus a control treatment, culturing of red algae Gracilaria corticata at a density of 400 g without shrimp (T5) were compared. Based on the results, the survival rate, the specific growth rate(SGR) and the final weight  of L. vannamei  (95.33±3.05, 12.26±0.02 and 543.7±47.88) in  treatment T4  were significantly higher than the treatments T1 and T2 (p<0.05). The maximum SGR of G. corticata  (2.37±0.88) and the highest percentage of weight gain (WG) (103.5 ± 5.02%) was observed in treatment T2. The minimun SGR  (0.23±0.10) and the minimum WG (7.08±3.15%) was observed in treatment T5. This research clearly showed that culturing of red algae G.corticata  in the nursery tanks of  L. vannamei  post larvae could lead to increase the growth parameters and survival rate of post larvae and the increasing in these parameters were significantly related to the density of algae in tanks.

This paper introduces the notion of multidimensional fuzzy finite tree automata (MFFTA) and investigates its closure properties from the area of automata and language theory. MFFTA are a superclass of fuzzy tree automata whose behavior is generalized to adapt to multidimensional fuzzy sets. An MFFTA recognizes a multidimensional fuzzy tree language which is a regular tree language so that for each dimension, a fuzzy membership grade is assigned to each tree. We study MFFTA by extending some classical problems and properties of automata and regular languages such as determinization, reduction, duality and operations on languages. Furthermore, we provided the method of converting every complete fuzzy tree automata to an MFFTA as well as an example to show the efficiency of MFFTA in comparison to FFTA.}

Displacement-based methods are recognized as appropriate approaches to reach the goals of performance-based seismic design method. In the direct displacement-based seismic design method, the seismic yield displacement is applied as one of the important design parameters. In this paper, a new relation is suggested to determine the lateral displacement pattern at first yielding of eccentrically braced frame systems subjected to earthquake ground motions. This relation considers the influence of various structural features of frames. It is developed from the results of several nonlinear dynamic analyses containing 30 eccentrically braced frames under 15 far-field and near-field earthquake ground motions. Then, the results of these analyses are processed by nonlinear regression analysis in order to establish the most effective parameters on the yield displacement pattern of the  frames. As a result, a comparison between the suggested yield displacement pattern and nonlinear dynamic analyses showed the efficiency and advantages of the suggested approach.

Wireless networks suffer from battery discharging specially in cooperative communications, where multiple energy constrained relays are used. To overcome this problem, energy harvesting from RF signals is used to charge the node battery. These intermediate nodes have the ability to harvest energy from the source signal and use the harvested energy to transmit information to the destination. In fact, the node tries to harvest energy and then transmit the data to destination. Division of energy harvesting and data transmission periods can be done in two different protocols, namely time switching based relaying protocol (TSR) and power splitting based relaying protocol (PSR). These two protocols can also be applied in delay-limited and delay-tolerant transmission systems. The previous works have assumed a single relay for energy harvesting; However, in this paper, the proposed method is concentrated on improving the outage probability and throughput using multiple antennas in each relay node instead of using single antenna. Also the optimum location of multiple relays is discussed and its effect on throughput of the system is mainly considered. According to our simulation results, when multi-antenna relays are used, ability of energy harvesting is increased and thus system performance will be improved to a great extent. MRC selection relay scheme is used when the destination chooses a group of relays and antennas satisfying the required SNR.

Management and speed reduction in accidental areas are among the factors influencing road safety, which can lower the rate of accidents. Relaxation measures are among the factors affecting the reduction and management of speed. Non-standardized use of relaxation measures can cause incidents and adverse consequences and impose significant damage on the transportation network. Therefore, by assessing the relaxation measures on the flow velocity and obtaining a spatial range, suitable speed control techniques can be found in the accident areas. In this study, the effects of relaxation measures on the speed of operation in the installation site and the piece after the installation of measures in free flow conditions have been investigated. The velocity changes in the three phases of the speed of the previous unit and the installation site, the speed of the next piece and place of installation, the speed of the previous piece and the later part were examined. Data analysis was done by statistical methods. Data analysis was done by statistical methods. Correlation coefficient and dependent t test were used for data analysis. According to the results of these tests, at 95% confidence interval there is a correlation and correlation between the speed of operation and the speed of the gear with its predecessor, there is a significant difference between the speed of the work piece before and after the speed. The performance of the next piece with the piece before the field has no correlation and correlation, and there is no significant difference between the speeds of performance of these two pieces. The functional speed of the next piece with the piece before the camera has no correlation and correlation; there is no significant difference in the performance of the piece before and after the installation of the camera.

Lemonverbena(Lippia citriodora (Palau) Kunth) is a medicinal plant belonging to the Verbenaceae family. Propagation of lemon verbena is commonly performed using stem cutting. In order to study the effects of cutting time (autumn, winter and spring), cutting position (apical, medial and basal) and different concentrations of indole butyric acid (ABA) (0, 2000 and 4000 ppm) on rooting of stem cuttings of lemon verbena, a factorial experiment based on a three-replicated completely randomized design was performed in a greenhouse in Kavar (Fars province) in 2016-2017. According to the results, the autumn taken cuttings showed better rooting compared with both winter and spring taken cuttings. Regardless of auxin application and cutting time, the highest rooting percentage, root number, root dry weight and shoot length were observed in the basal cuttings of larger diameters. The medial cuttings showed higher rooting percentage than apical ones. The rooting-related characteristics including rooting percentage, root number, and dry weight improved as the concentration of IBA increased up to 2000 ppm. While at the highest concentration of IBA (4000 ppm), most rooting-related characteristics showed no significant increase in comparison to 2000 ppm, the length of the newly emerged shoots on cuttings decreased.

In this note, we define the concepts of admissible relation and admissible partition for an arbitrary BL-general fuzzy automaton. In particular, a connection between the admissible partition and the quotient BL-general fuzzy automaton is presented. It is shown that if we use the maximal admissible partition, then we obtain a quotient BL-general fuzzy automaton and this quotient is minimal. Finally, we present some examples to clarify the notions and results of this paper.

This experiment was conducted in a greenhouse at Isfahan University of Technology, Isfahan, Iran in 2014 to evaluate 20 wheat cultivars (Navid, Pishtaz, Karaj, Kavir, Tajan, Karun, sholeh, Bahar, Khoshki 11, Gasparood, Sepahan, Sorkh tokhm, Chamran, Ghods, Shariar, Omid, Sistan, Alamut, Marvdasht and Shiraz) under two carbon dioxide concentrations (the ambient 360 and the enriched 700 µM) and two salinity levels (0 and 150 mM NaCl). Treatments were arranged as a factorial in a completely random design with three replications. The results showed that salinity decreased potassium concentration in shoots (27%) and roots (39%), chlorophyll a and b concentrations (27 and 30%, respectively), carotenoids concentration (21%), plant height (39%), leaf area (32%), root volume (40%), shoot and root dry weight (30% and 23%, respectively); however, it increased sodium concentration in the shoots and roots (36%). The extent of salt-induced decreases in the shoot dry weight of the evaluated cultivars ranged from 8 to 46%. Karaj and Marvdasht cultivars were the most and the least sensitive cultivars to salinity under both ambient and enriched carbon dioxide concentrations, respectively. The elevated carbon dioxide concentration increased potassium concentration in the shoots (except Sholeh, Ghods and Gasparood) and roots, chlorophyll and carotenoids concentrations, plant height, leaf area (except Shahriar), root volume, shoot (except Sistan and Omid), and root dry weight; however, it decreased sodium concentration in the shoots and roots. The highest and the lowest increases in the shoot dry weight under non saline condition were obtained for Karaj and Alamut (23 and 6%, respectively); under saline conditions, they were found in Chamran and Kavir (66 and 3%, respectively). The results obtained from this experiment showed that the elevated carbon dioxide concentration positively influenced the growth of most cultivars. This effect was more pronounced under saline conditions, indicating that carbon dioxide enrichment could alleviate, at least in part, the negative effects of salinity.

Speed is one of the main causes of financial and psychological damage in crashes. Using traffic control cameras is one of the common ways to manage speed. The function of this tool is due to the limited space available in the pieces before and after the installation of the camera, so that in addition to the accidental points, we can also estimate the incident areas. In this study, speed information was collected in three sections before installation of the camera, its installation location and the next installment. The velocity changes in the three phases of the speed of the previous unit and the installation site, the speed of the next piece and place of installation, the speed of the previous piece and the later part were examined. Data analysis was done by SPSS software. Correlation coefficient and dependent t test were used for data analysis. There is a correlation between the speed of the location of the camera installation and the previous piece, in the 95% confidence interval. There is a significant difference in the speed of the installation site and the previous piece. The performance speed in the piece after the installation site at the speed of performance at the installation site of the camera is not correlated, but there is a significant difference between these two pieces. The speed of performance in the piece after the installation site with the speed of performance in its previous section has no correlation and performance is not significant in these parts.

The emergence of business process management systems (BPMS) is a valuable achievement in information systems and is an outstanding meeting point of intelligent systems and information systems. BPMS provides the possibility to design, monitor, manage and improve the business processes. Organizations may adopt policies like cycle time reduction, production increase, production cost decrease, and so on. workload balancing may also be considered as an objective. Workload balancing guarantees fair work distribution among resources. In heavy load conditions or when the number of human resources is limited, workload balancing can increase the stability of the system. On the other hand, cycle time reduction would lead to waiting time reduction and customer satisfaction. In this paper, a novel approach is proposed to reduce cycle time of business processes by dispatching "dependent" tasks while maintaining workloads balanced. Dependent tasks are the tasks in a business process for which concurrent processing would help reduce cycle time. The concept of dependency is extracted by statistical analysis of event logs.To evaluate the proposed approach, BPI Challenge 2012 dataset is chosen to benchmark the three conducted experiments. The experiments shows that the proposed method (WB_FIFOࣰ) outperforms WB_FIFO and DSWB methods in cycle time reduction, especially in circumstances where arrival rate increases. The superiority of the proposed method in cycle time reduction is 16.6% in contrast to DSWB and 31.1% in contrast to WB_FIFO.

The aim of this research was to investigate the effect of different concentrations of chitosan coating on the quality and shelf life of a local cultivar of banana. The factorial experiments of this research were conducted on a completely random basis and also replicated three times in a warehouse at 15˚C and in relative humidity of 85-90%. The treatments consisted of four chitosan concentrations (0, 0.5, 1 and 2%) and characteristics such as weight, hardness, rottenness, phenol content, antioxidant content, pH, titratable acidity and soluble solid materials, vitamin C, polyphenol oxidase enzyme, level of browning and coloring were measured on days 0, 5, 10, 15 and 20. The obtained results showed that chitosan treatment improved some qualitative characteristics in banana fruits. Chitosan delayed water loss and weight loss, hardness, ascorbic acid content and coloring. The highest incidence index (8.09%) was obtained from the control treatment and its lowest value (2.45%) was obtained from applying 2% chitosan after 20 days. The contents of the soluble solid materials and organic acids increased during storage and the banana fruits treated with 1 and 2% chitosan had the lowest soluble solid materials and acid contents. Also, at the end of the storage period, the fruits treated with 1 and 2% chitosan had the highest pH, phenol content and total antioxidant content. Finally, it was concluded that chitosan treatments with concentrations of 1 and 2 % can significantly increase and maintain the quality of banana fruits during storage.

Background and Objectives Identification and collection of superior genotypes in horticultural plants is the first step in breeding programs. In our country, insufficient knowledge about horticultural plants germplasm is the important limiting factor for improving programs on horticultural crops specially cucumber. The aim of this study was grouping of different cucumber genotypes based on some morphological traits and their genetic distances.
Materials and Methods 25 cucumber lines were evaluated by measurement of 25 morphological traits using principal component and cluster analysis. Seed of all lines were obtained from the Asian Vegetable Research and Development Center (Shanhua, Tainwan). To develop transplants cucumber seeds were sown in single plastic pots (12×11 cm) filled with peat in a greenhouse. The loamy sand soil was prepared by plowing and disking. There was a preplanting application of urea nitrogen, 50 kg·ha-1, and 100 kg·ha-1 of phosphorus. The soil was formed into raised beds with rows on 1.2 m centers. Data were collected from 12 plants in a row per plot of each accession and 25 morphological traits were determined.
Results The result of PCA showed that twenty main factors accounted for %88 of total variance. Contribution of each component to arrangement was 17.97, 12.25, 11.45, 8.74, 7.52, 6.12, 5.13, 4.53, 4.29, 3.77, 3.44, and 2.86 percent of total variance. Cluster analysis based on Euclidean distance and UPGMA was used to cluster the lines. According to the cluster analysis the lines were grouped in 7 clusters and cophenetic coefficient was 0.842.
Discussion In this research, there was high genetic diversity between the studied lines that can be used for heterosis breeding by parental line selection for crossing to reach suitable cultivars.

The aim of this study was to evaluate the effect of marinade solution with different acetic acid concentration ( 0 ¡ 0.5, 1 and 1.5% w/w)-sodium chloride (2%) and immersion time ( 0 ¡ 24, 48 and 72h) on physicochemical and quality characteristics of biceps femoris (BF) muscle of Iranian camel. For this purpose, pH, moisture content, marinade uptake, color properties, water-holding capacity, pigment oxidation indicators and thiobarbituric acid were examined. Results showed that the acetic acid concentration and immersion time of the samples had significant effect on the marinade uptake, moisture content, water holding capacity (WHC), cooking loss, myoglobin, brightness (L*) and redness (a*) properties. The immersion time significantly affected thiobarbituric acid of the samples, whereas marinade concentration had not significant impact on it. The pH of marinated meat exhibited a direct relationship with WHC, myoglobin and a*, but a reverse relationship with cooking loss, thiobarbituric acid and Met-myoglobin properties. Overall, the results indicated that the combination of acetic acid and sodium chloride marinade could be a useful method for improvement the quality of camel BF muscle.

Background and ObjectivesDracocephalum kotschyi Boiss. (Labiateae) is an endemic perennial herbaceous plant known in Iran as Zarrin-Giah. Recent pharmacological studies have confirmed some of the methoxylated flavonoids in plant’s parts having anti-cancer properties. Excessive harvesting of wild plants and limited distribution areas are the main reasons why D. kotschyi is now listed as an endangered plant. Polyploidy induction is an effective tool in medicinal plant breeding. Chromosome duplication and polyploidization may affect plant morphology and breeding systems, ultimately enabling the release of improved genotypes.
Materials and Methods In this study, an efficient procedure was established for successful induction of tetraploid D. kotschyi by treating diploid explants with colchicine in horticulture laboratory of Urmia University during 2014-2015 years. Seedlings apical meristem treatment was carried out in two growth phases including, the two and four-leaf plants through presoaking manner. Colchicine at a concentration of 0, 0.05, 0.1, 0.2 and 0.5 % (w/v) was applied in each of these stages. Cytological and morphological evidence confirmed the results of flow cytometry analysis.
Results Cytological analyses showed the increase of chromosome numbers from 2n=2x=20 to 2n=4x=40. The results of this study demonstrated for the first time that chromosome counting in D. kotschyi of a total of 165 surviving seedlings, 7.27% was found to be tetraploids, 13.3% was chimers while the remainder were diploids. Tetraploid plants demonstrated significantly longer stomata and a higher stomatal index compared with diploid control plants. Negative correlation between stomata size, plants height, leaf number and lateral shoot number was obtained in treated plants. The total content of flavonoids increased from 1583.28 in diploids to 1890.07 (μg/g DW) in stable tetraploids.
Discussion It seems that 0.5% of colchicine can be used as an effective treatment for polyploidy induction in D. kotschyi.

Persian walnut (Juglans regia L.) is one of the most important species of Juglans genus and Iran is one of the most important centers of genetic diversity of this species. Thus evaluation of genetic diversity of Persian walnut in Lorestan province is very important. So if the results displayed a sufficient genetic diversity of nut and tree, we can use it for walnut breeding programs in future.
In this study 43 Persian walnut genotypes of the five populations were selected. 41 morphologic traits evaluated between these populations were including Alashtar, Doroud, Khorram-abad, Boroujerd and Nourabad. Assaying traits on 10 to 20 samples from each tree, and 5 to 10 leaves, that selected accidently, for 41 quantitative traits related to nuts and leaves such as protein and oil of nuts was done.
One-sided variance analysis of the data’s indicated a significant difference between regions for most traits. Means comparison with Duncan’s test at 5% level showed that most traits were significantly different in various regions of Lorestan province. The study of variety coefficients of different traits showed that the husk weight had the most variation among the traits (35.51%). After that, husk humidity (29.45%) and green seed weight (28.39%) respectively owned the major variation among the studied traits. In terms of high protein and oil, Alashtar (20.26 and 64.1%), Boroujerd (19.98 and 60.73%) and Doroud (19.14 and 59.11%) populations respectively had the highest contents of protein and oil than other populations. In terms of nut yield, Boroujerd population had seed weight with hard skin of 12.13gr and highest kernel weight (4.98gr). This population made it the most suitable population for selecting stocks with suitable nut yield. On other hands, the highest percentage of kernel with hard skin was observed in Nourabad population and the highest percentage of kernel with green skin was in Doroud population. Cluster analysis of morphologic traits based on Ward method, differentiated genotype in 3 clusters in distance of -41.21 and populations also in 3 clusters in distance of 67.71. In the first cluster Alashtar, Nourabad and Beyranshahr populations, in the second cluster Doroud population and in the third cluster Boroujerd populations were placed. Based on the results of principal component analysis (PCA), 3 main components justified total of 93.30% of total variance. Dispersion of populations based on 2 main components were corresponded with cluster analysis of walnut populations based on morphologic traits in Lorestan province and populations were put in 3 different areas on diagram.
Results showed that genetic relationships among populations that were geographically near each other, caused these populations to be in same groups in cluster analysis. Green seed volume and thickness, length and width of seed with hard skin, had the highest effects on dispersion of populations in this study. Doroud and Nourabad populations respectively with the highest percentage of kernel with green skin and kernel with hard skin are recommended for selection in terms of kernel yield and future walnut breeding program in Lorestan province. Results showed that walnut populations in Lorestan province had a high diversity and the selection must be done through mentioned traits.

Domestic violence is the most common type of violence against women which leaves negative effects on the mental health of the mother, children, family, community, and the next generation directly and indirectly. Therefore, this study was conducted to assess the arte of domestic violence and some related factors in married women.
This cross-sectional descriptive research was carried out with participation of 623 married women attending health care centers of Abadan, Iran who were selected through random cluster sampling from in 2015. The data were collected by a demographic questionnaire and a women abuse scale checklist. Moreover, descriptive and analytical statistics (including T-Student Test, Pearson Correlation Coefficient, One-Way Variance Analysis, Chi-Square Test, and Fisher) were used for data analysis.
The total prevalence of violence was 72.3%, and the porevalence of psychological, physical, life threatening, and sexual violence was 71.7%, 17.8%, 8.3%, and 7.1%, respectively. Moreover, a significant relationship was observed between violence and age, marital satisfaction, family behavior, financial situation, cigarette, alcohol, disease, domicile, occupation, place of birth, and criminal records.
Violence in the city of Abadan, eespecially psychological violence, is highly prevalent. Therefore, it is suggested that domestic violence against women be prevented using approaches such as life skills training starting before marriage such as anger management, proper communication, and problem solving.

Aims: Due to the high consumption of Pickhandle Barracuda, it is necessary to prepare its amino acid profile. The aim of this study was to investigate the proximate composition and amino acid profile of Pickhandle Barracuda and Yellowtail Barracuda fillet in autumn and spring.
The present experimental study was carried out on Pickhandle Barracuda and Yellowtail Barracuda in autumn and spring. The fish were equivalently divided in 2 groups of male and female in 3 clusters, each containing 7 fish. The total amino acid composition was performed by liquid chromatography. The data were analyzed by GRAPHPAD-PRISM 5 software, using unpaired T test.
Findings: In two species, moisture in autumn was higher than spring, but, compared to autumn, the amount of fat, protein, and total ash had a significant difference in spring. In spring, the essential/nonessential (E/NE) amino acid ratio and aromatic amino acids did not have any significant differences in two species, but other measures had significant differences. In autumn, the E/NE ratio and acidic amino acids did not have any significant differences. Chemical indices were more than 1 based on the needs of the adult human. In two species, Leucine showed depletion in the range of 2 to 5 years in autumn and spring.
Both species have a higher moisture in autumn, but the amount of fat, protein, and total ash in spring is higher than autumn. The most common amino acids in both seasons are Glutamic acid and Aspartic acid. Regarding the essential amino acids, there is no depletion in adult human necessity in two species in two seasons. Based on the needs of children aged 2 to 5 years, Leucine has depletion in both species.

Soil depth is a major soil characteristic commonly used in distributed hydrological modeling in order to present watershed subsurface attributes. It strongly affects water infiltration and accordingly runoff generation, subsurface moisture storage, vertical and lateral moisture movement, saturation thickness and plant root depth in the soil. The objective of this study is to develop a statistical model that predicts the spatial pattern of soil depth over the watershed from topographic and land cover variables derived from DEM and satellite image, respectively. A 10 m resolution DEM was prepared using 1:25000 topographic maps. Landsat8 imagery, OLI sensor (May 06, 2015) was used to derive different land cover attributes. Soil depth, topographic curvature, land use and vegetation characteristics were surveyed at 426 profiles within the four sub-watersheds. Box Cox transformations were used to normalize the measured soil depth and each explanatory variable. Random Forest prediction model was used to predict soil depth using the explanatory variables. The model was run using 336 data points in the calibration dataset with all 31 explanatory variables (18 variables from DEM and 13 variables from remote sensing image), and soil depth as the response of the model. Prediction errors were computed for validation data set. Testing dataset was done with the model soil depth values at testing locations (93 points). The Nash-Sutcliffe Efficiency coefficient (NSE) for testing data set was 0.689. The results showed that land use, Specific Catchment Area (SCA), NDVI, Aspect, Slope and PCA1 are the most important explanatory variables in predicting soil depth.

Biodiesel is considered as a clean fuel, because it is free of any aromatic compound. In recent years, in order to reduce the cost of production of Biodiesel, many studies have been conducted on the extraction of biofuels from microalgae around the world. Thus, this study was conducted with the aim of investigating the feasibility of optimum temperature for growth of Nannochloropsis Oculata microalga by using image processing system. In this experimental study, a piece of Nannochloropsis Oculata microalga containing 100,000 cells per ml was cultured in 15°C, 20°C, and 25°C. In order to evaluate the growth rate, active microalgae were sampled at 24-hour intervals, and their growth was studied, using machine vision systems. The data were analyzed, using Matlab 2012 and Weka 3 software by multivariable analysis of variance, linear regression algorithm, multilayer perceptron, Gaussian processing and simple linear regression analysis. The maximum cell density of Nannochloropsis Oculata on the 8th day was 286.23×104±0.38×105 cells per ml in treatment at 25°C and the minimum cell density was 168.58×104±0.48×105 cells per ml in treatment at 15°C. Specific growth rate was significantly increased at temperature of 25°C compared to the treatments at 15°C and 20°C. Linear regression algorithms (r2=0.84), multilayer perceptron (r2=0.88) and Gaussian processing (r2=0.78) showed good results, but simple linear regression indicated that the algorithm was unsuccessful (r2=0.45). The image processing technique provides a successful estimation of the growth process of Nannochloropsis Oculata at different temperature levels.