The experiments were conducted in laboratory conditions of a temperature of 25± 2C and relative moisture of 40± 5 % to evaluate the effectiveness of the cinnamon, lavender and clove essential oils on some biological life aspects of cowpea beetle, C. maculates. Results of the obligative experiment for the effect of the oils on insect adult killing showed that the concentration of 5% caused a mortality percentage averaged 13.33% of the insect males. The mortality percentage of the insect females was 11.3% for the cinnamon and lavender oils. The lavender oil had the lowest effect on adult killing, not exceeding 0. For the effect of the oils on egg laying, clove oil affected the number of eggs highly at the concentration of 5%, resulting in 2.00 eggs on average. The lowest oil effect on egg number was for the lavender oil at the concentration of 1%, leading to an average of 14.73 eggs. The clove oil at the concentration of 5% showed effectiveness in adult emergence prevention as it was not observed that any insect emerged. In contrast, the same oil at the concentration of 1% had less effect, resulting in the highest emergence percentage reaching 13.33%. The same applies to the effect of the plant oils on insect productivity as the clove oil at the concentration of 5% was the most effective; no insect productivity was recorded, unlike the concentration of 1%, recorded productivity of 110.2 %. In the facultative experiment, the highest mortality percentage was recorded using clove oil against females, as the mortality percentage reached 4.00%. In contrast, the lowest mortality percentage was recorded using lavender oil against males, where no killing occurred, as the mortality percentage did not exceed 0.00%. For the effect of the oils on egg laying, the highest affected oil was cinnamon at a concentration of 5% as the number of eggs reached 5.60, while lavender oil at 3% was the least effective; the average number of eggs was 25. Clove oil at a concentration of 5% had the highest effect in reducing the emergence of the insect, so the emergence percentage did not exceed 0.33%. In comparison, its influence was low at 1%, recording the highest emergence percentage (18.67%). The lowest recorded insect productivity average was from the treatment of the clove oil at a concentration of 5%, which did not exceed 5.20%, while the highest productivity average was from the treatment of the lavender oil at 1%, which reached 89.6%. Keywords: essential oils, Cowpea beetle, Callosobruchus maculatus
An experiment was conducted to study how SAE 50 engine oil contaminated with diesel fuel affects engine performance. The engine oil was contaminated with diesel fuel at concentrations of 0%, 1%, and 3%. The following performance characteristics were studied: brake-specific fuel consumption, brake thermal efficiency, friction power, and exhaust gas temperature. Each treatment was tested three times. The three treatments (0%, 1%, and 3%) were analyzed statistically with a one-way ANOVA model at the 5% probability level to determine if the three treatments produced significant differences in engine performance. The statistical results showed that there were significant differences in engine performance metrics among the three treatments. The 3
... Show MoreThis work studies with produce of light fuel fractions of gasoline, kerosene and gas oil from treatment of residual matter that will be obtained from the solvent extraction process as by product from refined lubricate to improve oil viscosity index in any petroleum refinery. The percentage of this byproduct is approximately 10% according to all feed (crude oil) in the petroleum refinery process. The objective of this research is to study the effect of the residence time parameter on the thermal cracking process of the byproduct feed at a constant temperature, (400 °C). The first step of this treatment is the thermal cracking of this byproduct material by a constructed batch reactor occupied with control device at a selective range of re
... Show MoreBackground: The aims of this study were to evaluate the effect of implant site preparation in low-density bone using osseodensification method in terms of implant stability changes during the osseous healing period and peri-implant bone density using CBCT. Material and methods: This prospective observational clinical study included 24 patients who received 46 dental implants that were installed in low-density bone using the osseodensification method. CBCT was used to measure the bone density pre- and postoperatively and implant stability was measured using Periotest® immediately after implant insertion and then after 6 weeks and 12 weeks postoperatively. The data were analyzed using paired t-test and the probability value <0.05 was conside
... Show MoreThe e-commerce is one of the best achievements of the twentieth century, since the conduct commercial transactions via the Internet may be the consumer easy selection process and purchase convenient manner different from traditional methods, and with the beginnings of the new millennium impose the emergence of e-commerce term significant challenges to the insurance industry as an important economic sectors Generally, and insurance companies in particular as a result of scientific development, which has led to a reduction in costs and innovation in the production, which led to intense competition on both levels local or global. The insurance industry is a vital part of the economy and it has a varied impact to the community and individual
... Show MoreThis study has been conducted to know the level of microbial ( bacteria and fungi) contamination in 5 types of biscuits from local markets of Baghdad city. Fifty samples (ten sample for each kind of biscuit) were studed,Two are local,others are Iranian,Turkish,and Holandies. The following results have been achieved :1. The highest number of bacteria was 21.6×103 cell/g in Iranian biscuit while the lowest number was 14.3× 103 cell/g in local biscuit No.1 . The highest number of fungi was 16×103 colony/g and the lowest number was 5.3×103 colony/g in the Iranian and the local biscuit No.1,respectively.2. Staphylococcus aureus was the major bacteria appeared at highest level of 100% in Turkish biscuit. The lowest percentage was found in H
... Show MoreOsteoporosis is a prevalent systemic metabolic disorder characterized by a reduction in bone mass and bone density, damage in microstructure of bone tissue, and raised bone fragility causing of fracture susceptibility. This study included 189 Iraqi adults aged 45–75 years, evaluating serum levels TGF-β3 and WNT5A across three groups: healthy individuals (n = 31) as control, those with primary osteoporosis/osteopenia (n = 61), and with comorbidity-related osteoporosis (linked to β-thalassemia, parathyroid disorders or diabetes; n = 97). Among those, β-thalassemia-associated osteoporosis patients showed the most distinct decrease in bone mineral density (0.57 ± 0.078 g/cm², p < 0.0001) along with marked increases in WNT5A (0.89 ± 0.68
... Show MoreStatistical methods of forecasting have applied with the intention of constructing a model to predict the number of the old aged people in retirement homes in Iraq. They were based on the monthly data of old aged people in Baghdad and the governorates except for the Kurdistan region from 2016 to 2019. Using Box-Jenkins methodology, the stationarity of the series was examined. The appropriate model order was determined, the parameters were estimated, the significance was tested, adequacy of the model was checked, and then the best model of prediction was used. The best model for forecasting according to criteria of (Normalized BIC, MAPE, RMSE) is ARIMA (0, 1, 2).
Statistical methods of forecasting have applied with the intention of constructing a model to predict the number of the old aged people in retirement homes in Iraq. They were based on the monthly data of old aged people in Baghdad and the governorates except for the Kurdistan region from 2016 to 2019. Using BoxJenkins methodology, the stationarity of the series was examined. The appropriate model order was determined, the parameters were estimated, the significance was tested, adequacy of the model was checked, and then the best model of prediction was used. The best model for forecasting according to criteria of (Normalized BIC, MAPE, RMSE) is ARIMA (0, 1, 2)