Relationship between Cognitive style (risk taking VS Cautiousness) and performance of some ring skills for third stage female students in College of Physical Education and Sport Sciences / University of Baghdad
Publication Date
Tue Jan 16 2018
Journal Name
Design And Manufacture An Automatic Knife For Date Palm Tree Frond Cutting Operates By Frequency Theory Cutting Mra Abdulrazak A. Jasim
Publication Date
Sun Jun 25 2023
Journal Name
International Journal Of Drug Delivery Technology
Synthesis, Characterization, Antioxidant and Antibacterial Studies for New Schiff Base Complexes derived from 4-Bromo-O-toluidine
In this article, new Schiff base ligand LH-prepared Mn(II), Co(II), Ni(II), Cu(II), Zn(II), Cd(II), Hg(II), Pd(II), and Pt(II) materials were analyzed using spectroscopy (1 Metal: 2 LH). The ligand was identified using techniques such as FTIR, UV-vis, 1H-13C-NMR, and mass spectra, and their complexes were identified using CHN microanalysis, UV-vis and FTIR spectral studies, atomic absorption, chloride content, molar conductivity measurements, and magnetic susceptibility. According to the measurements, the ligand was bound to the divalent metal ions as a bidentate through oxygen and nitrogen atoms. The complexes that were created had microbicide activity against two different bacterial species and one type of fungus. DPPH techniques were bei
... Show MorePublication Date
Sat May 01 2021
Journal Name
Journal Of Physics: Conference Series
An Efficient Shrinkage Estimators For Generalized Inverse Rayleigh Distribution Based On Bounded And Series Stress-Strength Models
Abstract<p>In this paper, we investigate two stress-strength models (Bounded and Series) in systems reliability based on Generalized Inverse Rayleigh distribution. To obtain some estimates of shrinkage estimators, Bayesian methods under informative and non-informative assumptions are used. For comparison of the presented methods, Monte Carlo simulations based on the Mean squared Error criteria are applied.</p>
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Publication Date
Fri Jul 27 2012
Journal Name
Journal Of Prosthodontics
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Publication Date
Thu Dec 31 2020
Journal Name
Journal Of Accounting And Financial Studies ( Jafs )
Financial analysis indicators and their impact on investment decision-making: for the national insurance company (applied research)
Financial Analysis Financial indicators) Liquidity ratios
activity ratios
profitability ratios (
Investment - investment decision
rate of realization of investment size
rate of investment returns
The financial analysis of the published financial statements is the means that enables businessmen, financial institutions, financial analysts and others to conduct their studies and conclusions to obtain information that helps them in the decision-making process, including decisions related to investment. National in making the decision on the investment activity, for the period from 2012 to 2018, through the information provided by the annual financial statements, by selecting a set of indicators provided by the financial statements, namely (liquidity ratio, activity percentage, profitability ratios) to measure the extent of this ability Indicators in determining their role in making an investment decision.
Publication Date
Thu Oct 18 2018
Journal Name
European Journal Of Organic Chemistry
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Publication Date
Sat Oct 31 2020
Journal Name
International Journal Of Intelligent Engineering And Systems
Automatic Computer Aided Diagnostic for COVID-19 Based on Chest X-Ray Image and Particle Swarm Intelligence
COVID-19
Chest X-ray
Li s' method
Particle swarm intelligence
Laws' masks
Gray level co-occurrence matrix (GLCM)
Weighted voting
Support vector machine (SVM)
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Publication Date
Tue Jan 01 2019
Journal Name
Ieee Access
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Publication Date
Sun Feb 25 2024
Journal Name
Baghdad Science Journal
Simplified Novel Approach for Accurate Employee Churn Categorization using MCDM, De-Pareto Principle Approach, and Machine Learning
AHP-TOPSIS
DE-PARETO principle
Employee churn
MCDM
Random Forest algorithm
Churning of employees from organizations is a serious problem. Turnover or churn of employees within an organization needs to be solved since it has negative impact on the organization. Manual detection of employee churn is quite difficult, so machine learning (ML) algorithms have been frequently used for employee churn detection as well as employee categorization according to turnover. Using Machine learning, only one study looks into the categorization of employees up to date. A novel multi-criterion decision-making approach (MCDM) coupled with DE-PARETO principle has been proposed to categorize employees. This is referred to as SNEC scheme. An AHP-TOPSIS DE-PARETO PRINCIPLE model (AHPTOPDE) has been designed that uses 2-stage MCDM s
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Publication Date
Fri May 28 2021
Journal Name
Journal Of Microbiology And Biotechnology
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