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The relationship of salary localization and the growth of bank deposits: (applied research for a sample of private banks)
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The research problem consisted in answering the question that revolves around whether there is a relationship to the settlement of salaries with the growth of bank deposits? The research also aimed to provide some initial solutions to improve the role of salary localization, in terms of reviewing the concept of electronic payment systems, its tools and channels, and then identifying the concept of salary localization, its importance, objectives and obstacles to its application, and then analyzing the reality of the state of the settlement of salaries and bank deposits for the research sample banks, which are each of the bank (Ashur International, Business Bay, the Iraqi Middle East for Investment, the Iraqi National, Development and the Iraqi Islamic Bank for the period (2017- 2021), and the use of the statistical program (SPSS V25) by paying attention to the value of the statistical significant correlation coefficient (p_value), in testing the research hypotheses.                                                                                                                   

 The study relied on the inductive approach and the descriptive analytical method in the study and analysis of information and data in the available literature on research concepts, methods of measuring it to determine the level of salary localization, and analysis of bank deposit data.                                                

   The study found a set of results, the most important of which are: There is a significant correlation (statistically significant) between the variable (number of domiciliation accounts) and the variable (the size of bank deposits), where the correlation coefficient between them reached (0.95), which is a strong and significant direct correlation coefficient (statistically significant) below the level of Significant (0.01) on the total level of the six banks in the study sample.                                                                                        

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Publication Date
Sat Dec 01 2018
Journal Name
Fuel
Biodiesel from batch and continuous oleic acid esterification using zeolite catalysts
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Publication Date
Fri Sep 15 2023
Journal Name
Iop Conference Series: Earth And Environmental Science
Determine, Predict and Map Soil pH Level by Fiber Optic Sensor
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Abstract<p>Soil pH is one of the main factors to consider before undertaking any agricultural operation. Methods for measuring soil pH vary, but all traditional methods require time, effort, and expertise. This study aimed to determine, predict, and map the spatial distribution of soil pH based on data taken from 50 sites using the Kriging geostatistical tool in ArcGIS as a first step. In the second step, the Support Vector Machines (SVM) machine learning algorithm was used to predict the soil pH based on the CIE-L*a*b values taken from the optical fiber sensor. The standard deviation of the soil pH values was 0.42, which indicates a more reliable measurement and the data distribution is normal.</p> ... Show More
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Publication Date
Tue Jan 01 2019
Journal Name
Ieee Access
Speech Enhancement Algorithm Based on Super-Gaussian Modeling and Orthogonal Polynomials
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Publication Date
Tue Jun 01 2021
Journal Name
Ieee Systems Journal
Intelligent Traffic Management and Load Balance Based on Spike ISDN-IoT
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An intelligent software defined network (ISDN) based on an intelligent controller can manage and control the network in a remarkable way. In this article, a methodology is proposed to estimate the packet flow at the sensing plane in the software defined network-Internet of Things based on a partial recurrent spike neural network (PRSNN) congestion controller, to predict the next step ahead of packet flow and thus, reduce the congestion that may occur. That is, the proposed model (spike ISDN-IoT) is enhanced with a congestion controller. This controller works as a proactive controller in the proposed model. In addition, we propose another intelligent clustering controller based on an artificial neural network, which operates as a reactive co

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Publication Date
Wed Nov 30 2022
Journal Name
Iraqi Journal Of Science
Breast Cancer Detection using Decision Tree and K-Nearest Neighbour Classifiers
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      Data mining has the most important role in healthcare for discovering hidden relationships in big datasets, especially in breast cancer diagnostics, which is the most popular cause of death in the world. In this paper two algorithms are applied that are decision tree and K-Nearest Neighbour for diagnosing Breast Cancer Grad in order to reduce its risk on patients. In decision tree with feature selection, the Gini index gives an accuracy of %87.83, while with entropy, the feature selection gives an accuracy of %86.77. In both cases, Age appeared as the  most effective parameter, particularly when Age<49.5. Whereas  Ki67  appeared as a second effective parameter. Furthermore, K- Nearest Neighbor is based on the minimu

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Publication Date
Tue Feb 27 2024
Journal Name
Tem Journal
Supervised Classification Accuracy Assessment Using Remote Sensing and Geographic Information System
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Assessing the accuracy of classification algorithms is paramount as it provides insights into reliability and effectiveness in solving real-world problems. Accuracy examination is essential in any remote sensing-based classification practice, given that classification maps consistently include misclassified pixels and classification misconceptions. In this study, two imaginary satellites for Duhok province, Iraq, were captured at regular intervals, and the photos were analyzed using spatial analysis tools to provide supervised classifications. Some processes were conducted to enhance the categorization, like smoothing. The classification results indicate that Duhok province is divided into four classes: vegetation cover, buildings,

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Publication Date
Sun Aug 01 2021
Journal Name
Bulletin Of Electrical Engineering And Informatics
Robust speaker verification by combining MFCC and entrocy in noisy conditions
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Automatic speaker recognition may achieve remarkable performance in matched training and test conditions. Conversely, results drop significantly in incompatible noisy conditions. Furthermore, feature extraction significantly affects performance. Mel-frequency cepstral coefficients MFCCs are most commonly used in this field of study. The literature has reported that the conditions for training and testing are highly correlated. Taken together, these facts support strong recommendations for using MFCC features in similar environmental conditions (train/test) for speaker recognition. However, with noise and reverberation present, MFCC performance is not reliable. To address this, we propose a new feature 'entrocy' for accurate and robu

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Publication Date
Thu Feb 04 2016
Journal Name
Iraqi Journal Of Market Research And Consumer Protection
Effect of Extracts Alkaloids Cordia myxa leafs on fourth larval stage in lesser grain borer Rhyzopertha dominica (F.)(Coleoptera:Bostrichidae): Effect of Extracts Alkaloids Cordia myxa leafs on fourth larval stage in lesser grain borer Rhyzopertha dominica (F.)(Coleoptera:Bostrichidae)
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An experimental study was conducted to evaluate the effect of AL-coholic extract alkaloid of Cordia myxa leafs in fourth larval stage of lesser grain borer Rhyzopertha dominica. Using alkaline extracts of 8%, the study has been shown clear effect increased in mortality rate for fourth larval stage 93.3% and degressed to 66.6% at 4% concentrate to 13.3% with control treatment .Ahigher percentage of pupal mortality 16.6% at 4% concentrate has been observed, while no natural emergence carried out at concentrates of 4.6% comparing with control treatment of 86.66%, at the same time percentage of deformation has been increased to 16.66% at 4% of extracts and degressed to 6.66% at 6% while no deformation have been shown with control treatment .

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Publication Date
Thu Jul 20 2023
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Cr (III), Fe (III), Co (II) and Cu(II)Metal ions complexes with azo compound derived from 2-hydroxy quinolin synthesis, characterization, thermal study and antioxidant activity
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Azo-ligand-(HL)([4-((2-hydroxyquinolin-3-yl)diazenyl)-N-(5-methylisoxazol-3-yl)benzenesulfonamide] ) ,  (2- hydroxy quinolin  derivative),reacts with the next metal ions (Cr (III), Fe (III),Co (II) and Cu(II))  forming stable complexes with unique geometries such as(tetrahedral for bothCo (II) and  Cu (II), octahedral for both Cr (III) and Fe (III)). The creation of such complexes was detected by employing spectroscopic means involving ultraviolet-visible which proved the obtained geometries, Fourier transfer proved the involvement of coordinated water molecule in all complexes besides the pyrolysis (TGA & DSC) studies proved the coordination of water residues with metal ions inside the coordination sphere as well as chlorine ato

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Publication Date
Fri Sep 22 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Effect of Alkaloids Extracts From Solanum nigrum L.(Solanaceae) in DNA -Plasmid PBR322 by Using Gel Electrophoresis
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Four  alkaloids  compounds  were  extracted  from  the  fruits  and leaves, of plant known locally as (Anab AI-Thebe Solanum nigram), by various solvents systems, from an earlier study by the researcher. DNA tested its effect in plasmid PBR322 deportation  method using Gel Electrophoresis. Results showed that two of those extract for full effectiveness   digestible   pieces  of  RNA and  DNA  plasmid,   and digestive  partly  of  the  other  alternatives.  That  could  prove  results indicate that this type of alkaloids consist of   biological effectiveness of anti-twnors, through

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