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jih-203
Pathogenicity of Bacillus thuringiensis Berliner on Larvae and Adults of Blow Fly Chrysomya albiceps (Wiedemann,1819) (Diptera : Calliphoridae)
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 This study was conducted to evaluate serial concentrations of commercial formulation suspension (Antrol) of Bacillus thuringiensis israelensis. As a microbial control agent against Chrysomya albiceps (blow fly) larvae and adults under laboratory conditions. The results revealed that percentages of accumulated mortalities of second instar larvae were 30 - 63.33% for the doses 100 – 2000 ppm respectively , Mortalities rate increased with increased of time, treating larval food with 1000 ppm of bacterial suspension caused mortality rate reached 30% after two days, later reached 72.96% after 12 days. The bio assays results of treating adults food showed that mortalities percentage were 6.67 – 73.33 when their food was treated by 100 – 2000 ppm of bacterial suspension. The results indicated that B. thuringiensis has a potential to be a bio control agent for Ch. albiceps. 

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Publication Date
Mon May 28 2018
Journal Name
Iraqi Journal Of Science
Propose retina identification system based on the combination of SURF detector and BRISK descriptor
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     In this paper the design of hybrid retina matching algorithm that is used in identification systems is considered. Retina based recognition is apparent as the most secure method for identification of an identity utilized to differentiate persons.

     The characteristics of Speeded up Robust Feature (SURF) and Binary Robust Invariant Scalable Key-Points (BRISK) algorithm have been used in order to produce a fast matching algorithm than the classical ones, those characteristics are important for real-time applications which usually need quick processing of a growing quantity of data. The algorithm is divided into three stages: retinal image processing and segmentation, extracting the lo

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Publication Date
Mon Aug 26 2019
Journal Name
Iraqi Journal Of Science
Textural Analysis of Liver Tumor using Watershed Segmentation based on Statistical and Geometrical features
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The liver diseases can define as the tumor or disorder that can affect the liver and causes deformation in its shape. The early detection and diagnose of the tumor using CT medical images, helps the detector to specify the tumor perfectly. This search aims to detect and classify the liver tumor depending on the use of a computer (image processing and textural analysis) helps in getting an accurate diagnosis. The methods which are used in this search depend on creating a binary mask used to separate the liver from the origins of the other in the CT images. The threshold has been used as an early segmentation. A Process, the watershed process is used as a classification technique to isolate the tumor which is cancer and cyst.

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Publication Date
Fri Mar 01 2019
Journal Name
Iraqi Journal Of Physics
The effect of rear earth doping CdS nanostructure on structural, optical and photoconductivity properties
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Rare earth elements (Cerium, Lanthanum and Neodymium) doped CdS thin films are prepared using the chemical Spray Pyrolysis Method with temperature 200 oC. The X-ray diffraction (XRD) analysis refers that pure CdS and CdS:Ce, CdS:La and CdS:Nd thin films showed the hexagonal crystalline phase. The crystallite size determined by the Debye-Scherrer equation and the range was (35.8– 23.76 nm), and it was confirmed by field emission scanning electron microscopy (FE-SEM). The pure and doped CdS shows a direct band gap (2.57 to 2.72 eV), which was obtained by transmittance. The room-temperature photoluminescence of pure and doped CdS shows large peak at 431 nm, and two small peaks at (530 and 610 nm). The Current – voltage measurement in da

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Publication Date
Mon Mar 08 2021
Journal Name
Baghdad Science Journal
some Chemical effects on growth of azotobacter chroococcum wild-type and it's mutant-44
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the effecth of some chemicals on growth of two azotobacter chroococcum and aniline caused significant increase of growth

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Publication Date
Mon Jun 28 2021
Journal Name
Journal Of Engineering
The Catholyte Effects on The Microbial Desalination Cell Performance of Desalination and Power Generation
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A microbial desalination cell (MDC) is a new approach to bioelectrochemical systems. It provides a more sustainable way to electrical power production, saltwater desalination, and wastewater treatment at the same time. This study examined three operation modes of the MDC: chemical cathode, air cathode, and biocathode MDC, to give clear sight of this system's performance. The experimental work results for these three modes were recorded as power densities generation, saltwater desalination rates, and COD removal percentages. For the chemical cathode MDC, the power density was 96.8 mW/m2, the desalination rate was 84.08 ppm/hr, and the COD removal percentage was 95.94%. The air cathode MDC results were different

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Publication Date
Fri Mar 31 2017
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Effect of Metformin and Antioxidant Agents on Hirsutism in Women with Polycystic Ovary Syndrome
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Forty six Iraqi women with PCOS were involved in this study . They were treated with metformin alone and with antioxidant agents (vitamin E or C).It was found that all patients who treated with metformin or with combination of metformin with antioxidant agents showed significant decrease in hirsutism score. The treatment of metformin with antioxidant agents is of great benefit in treatment of hirsutism in PCOS due to that there was no worsening effect after treatment. This may indicate that antioxidant agents may participate in alleviation of hirsutism so it can be said that oxidative stress may play an important role in developing of hirsutism in PCOS.   

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Publication Date
Fri Jul 08 2022
Journal Name
Innovation Of Businesses, And Digitalization During Covid-19 Pandemic
The Impact of Political Stability and Macroeconomic Variables on Foreign Direct Investment in Turkey
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Foreign direct investment (FDI) is one of the most practical types of foreign investment. FDI contributes to job creation, foreign exchange earnings and national income escalation, improving semi-skill and skilled labor. Based on our knowledge, this paper is the first study attempting to investigate the effect of political stability on the FDI in Turkey using an econometric approach. Achieving this objective, a co-integration analysis was conducted between the FDI and its determinants in the short-run and long-run including “macroeconomic indicators” and “Political Stability (PS)” in Turkey. Using annual data from 1974 to 2017 via Auto-Regressive Distributed Lag (ARDL) model. The results confirm the positive correlation betwe

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Publication Date
Sun Jun 12 2011
Journal Name
Baghdad Science Journal
Effect of Water on Some Mechanical Properties for Sawdust and Chopped Reeds /UPE composites
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In this study, composite materials were prepared using unsaturated polyester resin as binder with two types of fillers (sawdust and chopped reeds). The molding method is used to prepare sheets of UPE / sawdust composite and UPE / chopped reeds composite. The mechanical properties were studied including flexural strength and Young's modulus for the samples at normal conditions (N.C). The Commercial wood, UPE and its composite samples were immersed in water for about 30 days to find the weight gain (Mt%) of water for the samples, also to find the effect of water on their flexural strength and Young's modulus. The results showed that the samples of UPE / chopped reeds composite gained highest values of flexural strength (24.

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Publication Date
Thu Aug 22 2019
Journal Name
Separation Science And Technology
Modification of Langmuir model for simulating initial pH and temperature effects on sorption process
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Publication Date
Mon Feb 01 2021
Journal Name
Indonesian Journal Of Electrical Engineering And Computer Science
Comparative study of logistic regression and artificial neural networks on predicting breast cancer cytology
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<p>Currently, breast cancer is one of the most common cancers and a main reason of women death worldwide particularly in<strong> </strong>developing countries such as Iraq. our work aims to predict the type of tumor whether benign or malignant through models that were built using logistic regression and neural networks and we hope it will help doctors in detecting the type of breast tumor. Four models were set using binary logistic regression and two different types of artificial neural networks namely multilayer perceptron MLP and radial basis function RBF. Evaluation of validated and trained models was done using several performance metrics like accuracy, sensitivity, specificity, and AUC (area under receiver ope

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