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Study the effect of essential oils of some plants in protection from Cowpea beetle, Callosobruchus maculatus in laboratory
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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

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Publication Date
Fri Dec 01 2023
Journal Name
Russian Journal Of General Chemistry
Preparation, Characterization, and Biological Activity of Mixed Schiff Base Ligand Complexes with Amino Acid L-Proline
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Publication Date
Tue Jun 16 2020
Journal Name
Synthetic Communications
Synthesis, identification and molecular docking studies of N-functionalized piperidine derivatives linked to 1,2,3-triazole ring
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Publication Date
Thu Mar 28 2024
Journal Name
Nigerian Journal Of Parasitology
Evaluation of hormones and other biochemical parameters among chronic liver disease patients infected with Toxoplasma gondii
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This study was conducted in Baghdad, Iraq from December 2021 to May 2022. The goal was to determine the effect of Toxoplasma gondii on liver function by examining the relationship between Toxoplasma infection and hormones. One hundred and twenty male patients with Chronic liver disease (CLD) (age:14-75 years) and 120 control males (age: 24-70 years) participated in this study. Serum samples were taken from all individuals and were then analysed for anti-Toxoplasma antibodies. Hormonal tests were conducted for all participants which included (Cortisol, testosterone, prolactin, insulin, and thyroid-stimulating hormone TSH). Biochemical tests included (Prothrombin time PT, international normalized ratio INR and albumin); liver enzymes

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Publication Date
Fri Dec 01 2023
Journal Name
Jordan Journal Of Biological Sciences
Extraction of Klebsiella pneumoniae and Candida albicans Biofilm and Studying their Cytotoxic Effects on Human Lymphocytes
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Publication Date
Sat Nov 30 2024
Journal Name
Research Journal Of Chemistry And Environment
Evaluation of blue textile dye decolorization by immobilized polyphenol oxidase using pumice stone under optimum conditions
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Industrial dyes are major pollutants in wastewater and river water with an initial visible concentration of 1 mg/L. Recent studies have shown the possibility of using polyphenol oxidase in catalytic biological treatment due to its ability to oxidize a large number of dyes and pollutants in wastewater and the flexibility to work in wide ranges of temperature, pH and salinity. It is easy availability as well as the low economic cost resulting from its use in biological treatments, this enzyme polyphenol oxidase was used. The findings in this study showed that the extraction of polyphenol oxidase (PPO) from potato peel was homogenized with potassium phosphate buffer (0.1 M, pH 7) at a ratio of 1:10 (weight: volume) for two min. The res

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Publication Date
Sun Jul 09 2023
Journal Name
Journal Of Engineering
Analysis and Control of PWM Buck-Boost AC Chopper Fed Single-Phase Capacitor Run Induction Motor
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Single phase capacitor-run induction motors (IMs) are used in various applications such as home appliances and machine tools; they are affected by the sags or swells and any fault that can lead to disturb the supply and make it produce rms voltage below or above the rated motor voltage, which is 220V. A control system is designed to regulate the output voltage of the converter irrespective to the variation of the load and within a specific range of supply voltage variation. The steady-state equivalent circuit of the Buck-Boost chopper type AC voltage regulator, as well as the analysis of this circuit are presented in this paper. Switching device for the regulator is an IGBT Module. The proposed chopper uses pulse width modulation (PWM) c

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Publication Date
Sun Jan 27 2019
Journal Name
Civil Engineering Journal
Prediction of Sediment Accumulation Model for Trunk Sewer Using Multiple Linear Regression and Neural Network Techniques
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Sewer sediment deposition is an important aspect as it relates to several operational and environmental problems. It concerns municipalities as it affects the sewer system and contributes to sewer failure which has a catastrophic effect if happened in trunks or interceptors. Sewer rehabilitation is a costly process and complex in terms of choosing the method of rehabilitation and individual sewers to be rehabilitated.  For such a complex process, inspection techniques assist in the decision-making process; though, it may add to the total expenditure of the project as it requires special tools and trained personnel. For developing countries, Inspection could prohibit the rehabilitation proceeds. In this study, the researchers propos

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Publication Date
Sun Jun 27 2021
Journal Name
Iraqi National Journal Of Nursing Specialties
Detection of Depression among Nurses Providing Care for Patients with COVID-19 at Baqubah Teaching Hospital
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Objectives: The present study aims at detecting the depression among nurses who provide care for infected patients with corona virus phenomenon and to find out relationships between the depression and their demographic characteristics of age, gender, marital status, type of family, education, and years of experience of nurses in heath institutions, infection by corona virus, and their participation in training courses.
Methodology: A descriptive study is established for a period from October 10th, 2020 to April 15th, 2021. The study is conducted on a purposive (non-probability) sample of (100) nurse who are providing care for patients with COVID-19 and they are selected from the isolation wards. The instrument of the study is develope

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Publication Date
Mon Apr 09 2018
Journal Name
Al-khwarizmi Engineering Journal
Neural Network Modeling of Cutting Force and Chip Thickness Ratio for Turning Aluminum Alloy 7075-T6
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The turning process has various factors, which affecting machinability and should be investigated. These are surface roughness, tool life, power consumption, cutting temperature, machining force components, tool wear, and chip thickness ratio. These factors made the process nonlinear and complicated. This work aims to build neural network models to correlate the cutting parameters, namely cutting speed, depth of cut and feed rate, to the machining force and chip thickness ratio. The turning process was performed on high strength aluminum alloy 7075-T6. Three radial basis neural networks are constructed for cutting force, passive force, and feed force. In addition, a radial basis network is constructed to model the chip thickness ratio. T

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Publication Date
Sat Dec 31 2022
Journal Name
Journal Of Economics And Administrative Sciences
Comparison of Robust Circular S and Circular Least Squares Estimators for Circular Regression Model using Simulation
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In this paper, the Monte-Carlo simulation method was used to compare the robust circular S estimator with the circular Least squares method in the case of no outlier data and in the case of the presence of an outlier in the data through two trends, the first is contaminant with high inflection points that represents contaminant in the circular independent variable, and the second the contaminant in the vertical variable that represents the circular dependent variable using three comparison criteria, the median standard error (Median SE), the median of the mean squares of error (Median MSE), and the median of the mean cosines of the circular residuals (Median A(k)). It was concluded that the method of least squares is better than the

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