Archives-August 2016

The present study examined the moderating effect of adolescent’s intrinsic motivation to accomplish on the relationship between temperament and computer game playing among 400 Iranian adolescents. The findings highlighted that moderating effects of intrinsic motivation to accomplish moderated the relation between novelty seeking with video game playing (b= 2.15, p?.001). As a conclusion, intrinsic motivation to accomplish would influence on the relationships between novelty seeking and video game playing.

In recent years most of countries particularly pay attention on soil’s salinity because reducing water quality,reducing efficient of agronomy products and extension of desertification are come from that phenomenon.Iran is one of only three countries where is encountered to soil’s salinity.one of ways to control salinity is investigation range and addition of it in an area, and in the next step prevention and elimination of problem will be considered.The research has been done in Zahedan’s area in order to examination of soil’s salinity(electricity transfer) with exploitation of geostatistical procedure. Geostatistical factors are used by Kriching, Cokriching, inverse distance weight method and Kriching regression. The 300 points have been done in order to determination of amount of electricity transfer in horizontal and vertical state by electromagnetic inductor device.Three depths of 0-30,30-60 and 60-90 cm have been investigated.According to obtained results the least sum of error in three depths in Kriging regression than three others method illustrate how the method is high benefit and accurate and the method has been chosen to determination of soil’s salinity.Coefficient of soil salinity in regression model in 0-30,30-60 and 60-90 depths have been obtained 0.22,0.27 and 0.32 respectively.According to obtained map, whatever we go down from surface to depth of soil, salinity becomes lower soit has to be more considered to harvest and cultivate.According to low cost and high accuracy of the Kriging regression method, it can be used for zoning of soil’s salinity.

Being familiar with the peculiarities of scientific prose style in general and technical writing in particular would undoubtedly help a science author to communicate appropriately with his peers in order to get his message across. At the level of word groups (Lexical-Phraseological word combinations), the use of ‘noun compounds’, or ‘string compounds’ is noticeable in this style. Considering the ubiquity of them in technical writing, familiarity with their functions seems to be of paramount importance as non-native writers tend to have difficulty producing them. The present study intended to disclose the functional peculiarities of technical writing on the lexical syntagmatic level of linguistic expression, focusing on noun compounds, the creation or the very existence of which would be based on the definite, well-fixed rules of combining lexical morphemes according to productive patterns, in other words, rules which can be determined by the lexical-morphological categories of the language under investigation. The analysis has revealed that noun compounds, are indivisible part of this style not because of their ubiquity but due to the fact that they would facilitate the author to create something new, something individual, and more importantly economize the pieces of information intended to be relayed.

An experiment was conducted in one of the fields of the University of Baghdad in 2015 In sandy loam soil to evaluate the effect of irrigation methods and discharge on growth and yield of green onion .The research using two factors included Subsurface irrigation system and drip irrigation system as main plot and three levels discharge included 2.5, 3.0 and 3.5 L\hr as secondary plot. Soil bulk density of the soil, distribution uniformity, the plant height, number of onion plant leaves and plant yield. were measured in this study. Nested design under randomized complete block design (CRBD) with three replications were used in this experiment. Least significant differences (L.S.D) at 0.05 levels were used to compare the mean of treatments. The results showed Soil bulk density in drip irrigation system reached 1.351 mg /m3,and uniformity distribution for subsurface irrigation system reached 88.7% compared with the drip irrigation system which reached 86.8% ,for the plant characteristics , subsurface irrigation exceeded generally in the plant characteristics, and the maximum of leaves number in subsurface irrigation system in one plant reached 10.6 and the average of plant height reached 65.6 in subsurface irrigation system. It's obvious through the results the exceeding of subsurface irrigation system in increasing, Leaves number average and the height of plant while the values of soil bulk density and the uniformity distribution were close between the two system. The successful of using subsurface irrigation system for planting good growing onion.

This study is to establish the procedure of cleaning validation of Losartan Potassium tables on pharmaceutical manufacturing equipments and analytical method validation by UV spectroscopy. This study develops a procedure and validation analytical method by UV spectroscopy used in cleaning validation. This study is aimed to produce a simple and validated method by UV Spectrophotometer for cleaning validation and develop a system as compliance to the regulatory bodies like USFDA, MHRA, WHO, etc. The method gave good results as compared to official books and guidelines. The analysis of samples by UV is easy as compared to other sophisticated instruments like HPLC, TC. Samples are analyzed effectively by UV Spectrophotometer.

We studied Dunaliella salina on different media to find out optimum culture media for algal growth and biopigment production. D. salina is a flagellated, halophile green microalga especially found in brackish water. D. salina is known for its antioxidant activity because of its ability to create large amount of carotenoid. Growth kinetics of cultures was showed on various media with significant modifications such as ASWM1 (2M NaCl), 2ASWM1 (medium composition same as ASWM1 but double strength of 4M NaCl, modified D medium2 (.01 g of NaHCO3 and 2M NaCl), modified Johnson medium3 (3M NaCl), FE medium (2m NaCl).pH was adjusted to 7.8. Maximum growth rate, cell production with maximum accumulation of chlorophyll and carotenoid were found in ASWM. Carotenoid content was found maximum in double concentration of NaCl (4-5molar) in 2ASWM. Chlorophyll content was found maximum in D medium (19.4 mg/gm) and minimum FE medium (2.2mg/gm). Improvement in the carotenoid content with increase in salinity in ASWM could be a good basis for the exploitation of microalgae as a source of biopigment.

The levels of fatty acids, phospholipids and sterols were determined in the raw, roasted and cooked wholeseeds flour of Treculia africana. Results showed crude fat varied from 2.90 – 8.67 g/100 g; SFA from 18.7 – 31.2 % of total fatty acids, total polyunsaturated unsaturated fatty acids (PUFA) varied from 34.7 – 46.8 % and MUFA/SFA ranged from 0.962 – 2.89, PUFA/SFA ranged from 1.05 – 2.50, n-6/n-3, EPSI (PUFA/MUFA), LA/aLA and EPA/DHA ranged from 7.80 – 28.8, 0.830 – 1.35, 30.4 – 237 and 0.530 – 1.21 respectively. The samples had high levels of n-6 fatty acids but low in n-3 fatty acids. In the phospholipids, phosphatidylcholine was highest in the raw wholeseed flour whereas phosphatidylinositol was highest both in roasted and cooked wholeseed flours with respective values of 733 and 733 (mg/100 g). The sterol values in the samples varied from: raw (7.9e-8 – 98.4); roasted (3.1e-7 - 302) and cooked (5.40e-6 – 309) mg/100 g. In all the samples, cholesterol was of the least concentration. In all nutrient parameters considered, roasted and cooked wholeseed flours were better than the raw wholeseed flour. Correlation coefficient was significantly and positively high at r = 0.05 in: the crude fats, total fatty acids and energy; fatty acids, fatty acids as food, energy contribution from fatty acids and sterols.

In this study coal fly ash (CFA) which is the waste product of coal fired power plant is used as an adsorbent for adsorption of phenol from aqueous solution in packed bed column. The effect of bed height (7.5, 13.5, 27.5 cm), effect of flow rate (0.375, 0.75 and 1.0 ml/min) and initial phenol concentration (70.0, 292.7, 651.2, 1039.9 mgL-1) on the adsorption were studied by assessing the breakthrough curve. Thomas and Yoon-Nelson models were used to evaluate the column performance. The result shows that with increase in flow rate, break point time decreases while the values of maximum adsorption capacity (q0) decreased and the Thomas constant (KTh) increased. As the bed height and initial concentration increases, break point time increases with bed height but decreases with initial concentration but q0 increased while KTh decreased. The maximum adsorption capacity was found to be 5.90 mg/g at 1.0 ml/min flow rate and 27.5 cm bed height with phenol concentration of 1039.9 mg/L. Key words: Coal fly ash, Phenol, packed bed column, adsorption, Thomas and Yoon Nelson model.

The ordinal regression is a method that is used to robust the model when dependent variable is ordinal and Independent variables may be dichotomous, polytomous, and continuous or combination of these. Ordinal logistic regression is used to predict the “odds” of having a lower or a higher value for dependent variable (y), based on independent variable (x). In practice, the frequently used type of model is a proportional odds model in ordinal logistic regression. HIV testing is necessary for preventing and reducing the HIV transmission. However, there are various Socio-demographic and HIV related behavior factors contribute the high or low HIV testing in general population and high risk groups. Intend of this study find out the important factors of the HIV testing in Injecting drug users (IDUs) patients. The ordinal logistic regression model makes assumptions about the nature of the relationship between the order response variable HIV testing Methods: Total 139 IDUs patients’ collect the information for this research based on specific questioner from the district Kamur in Bihar. In study, Ordinal logistic regression analysis to determine the factors which are considered to be a significant contributor in HIV testing. The ordinal logistic regression model was used to build models for dependent variable HIV testing and independent variables which are Age, Marital Status, Education, Occupation, Stigma, Income, STI/STD problems, Needle injecting sharing and HIV information. Results: In this research apply the proportional odds model for confirm the applicability of the ordinal logistic model. We determine the all parameter the significant of the model. We found that Needle sharing, Abscess problem, Abuse, Heard about STI, HIV, Income, HIV knowledge, HIV transmission through multiple partners shows significant contribution to IDUs patient for HIV testing. Conclusion: This study has made an attempt to recognize the predictors of HIV testing for injecting drug users by developing an ordinal logistic regression model.

Nowadays organizations are starting to realize the importance of using more data in order to support decision for their strategies. The size of data in world is growing day by day. Data is growing because of vast use of internet, smart phone and social network. Big data is a collection of data sets which is very large in size as well as complex. Generally size of the data is Petabyte and Exabyte. Traditional database systems are not able to capture, store and analyze this large amount of data. As the internet is growing, amount of big data continue to grow. Big data analytic provide new ways for businesses and government to analyze unstructured data. Nowadays, Big data is one of the most talked topic in IT industry. It is going to play important role in future. Big data changes the way that data is managed and used. Some of the applications are in areas such as healthcare, defense, traffic management, banking, agriculture, retail, education and so on. Organizations are becoming more flexible and more open. New types of data will give new challenges as well.