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Theories of the structure of modern finance : practical application of pecking order theory and the life cycle of the company/analytical research of asmple of foreign companies
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 Is the subject of the financial structure of the most important topics for which she received the interests of scientific research in the field of financial management , as it emerged several theories about choosing a financial structure appropriate for the facility and behavior change funding them , and in spite of that there is no agreement on a specific theory answer various questions in this regard , and a special issue of the financial structure optimization.

The objective of the research was to identify the most important theories of the structure of modern financial theory has been to focus on the capture of financial firms in two different stages of their life cycle , so-called growth and maturity.

As demonstrated research variables in one variable independently , which represents the rate of sales growth as it turns variable adopted in the rate of growth in retained earnings , while the research community has been represented by (23) U.S. companies large and diverse activities listed in the fortune 500, has been using some statistical methods The task of calculating t) tabular (f t) calculated ( to see the strength of the association between the two variables and were used as well as (f spreadsheet ( and f) the calculated ( to see the degree of influence between the two variables .

The research has come to several conclusions was the most prominent of the existence of a variety of factors and hidden phenomenon that will affect the behavior followed by funding companies through the stages of their life cycle is the most important of these factors retained earnings . The most important recommendations that came out of the current research is to encourage companies to pay attention to the life cycle of established financial terms and define the behavior of financial companies followed at every stage

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Publication Date
Mon Jan 01 2018
Journal Name
Blood Research
Relationship between liver iron concentration determined by R2-MRI, serum ferritin, and liver enzymes in patients with thalassemia intermedia
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4 Blood Res 2018;53:314-319. Received on August 11, 2018 Revised on August 30, 2018 Accepted on August 30, 2018 Background Iron overload is a risk factor affecting all patients with thalassemia intermedia (TI). We aimed to determine whether there is a relationship of serum ferritin (SF) and alanine ami- notransferase (ALT) with liver iron concentration (LIC) determined by R2 magnetic reso- nance imaging (R2-MRI), to estimate the most relevant degree of iron overload and best time to chelate in patients with TI. Methods In this cross-sectional study, 119 patients with TI (mean age years) were randomly se- lected and compared with 120 patients who had a diagnosis of thalassemia major (TM). Correlations of LIC, as determined by R2-MRI, with SF

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Publication Date
Sat May 01 2021
Journal Name
Journal Of Physics: Conference Series
Pretreated Fishbone as Low Cost-Adsorbent for Cationic Dye Adsorption from Aqueous Solutions: Equilibrium, Optimization, Kinetic and Thermodynamic Study
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Abstract<p>The present study investigated the use of pretreated fish bone (PTFB) as a new surface, natural waste and low-cost adsorbent for the adsorption of Methyl green (MG, as model toxic basic dye) from aqueous solutions. The functional groups and surface morphology of the untreated fish bone (FB) and pretreated fish bone were characterized using Fourier transform infrared (FTIR), scanning electron microscopy (SEM) and Energy dispersive X-ray spectroscopy (EDS), respectively. The effect of operating parameters including contact time, pH, adsorbent dose, temperature, and inorganic salt was evaluated. Langmuir, Freundlich and Temkin adsorption isotherm models were studied and the results showe</p> ... Show More
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Publication Date
Thu Dec 01 2022
Journal Name
Journal Of Energy Storage
A hybrid solidification enhancement in a latent-heat storage system with nanoparticles, porous foam, and fin-aided foam strips
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Publication Date
Thu Dec 29 2022
Journal Name
Arterial Hypertension
Correlation between coronary artery calcium score and aorta diameter in population with long-standing hypertension using noncontrast CT scan
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Publication Date
Tue Jun 18 2024
Journal Name
Heat Transfer Engineering
Boosting Solidification Rates in a Triplex-Tube Thermal Storage System Using Circular Fins: Novel Staggered and Inline Fin Arrangements
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Publication Date
Thu Aug 01 2024
Journal Name
Water Practice &amp; Technology
Artificial neural network and response surface methodology for modeling oil content in produced water from an Iraqi oil field
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ABSTRACT<p>The majority of the environmental outputs from gas refineries are oily wastewater. This research reveals a novel combination of response surface methodology and artificial neural network to optimize and model oil content concentration in the oily wastewater. Response surface methodology based on central composite design shows a highly significant linear model with P value &lt;0.0001 and determination coefficient R2 equal to 0.747, R adjusted was 0.706, and R predicted 0.643. In addition from analysis of variance flow highly effective parameters from other and optimization results verification revealed minimum oily content with 8.5 ± 0.7 ppm when initial oil content 991 ppm, tempe</p> ... Show More
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Publication Date
Mon Apr 01 2019
Journal Name
Applied Water Science
Hydrochemistry as a tool for interpreting brine origin and chemical equilibrium in oilfields: Zubair reservoir southern Iraq case study
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Publication Date
Wed May 06 2020
Journal Name
كلية التربية البدنية وعلوم الرياضة/جامعة بغداد
Disability Scale and Its Relationship With Cognitive Behavior On Some Basic Skills, Offensive Tactical Performance In Youth Soccer Players
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MO Khudhair, 2020

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Publication Date
Fri Jan 01 2021
Journal Name
International Journal Of Agricultural And Statistical Sciences
DYNAMIC MODELING FOR DISCRETE SURVIVAL DATA BY USING ARTIFICIAL NEURAL NETWORKS AND ITERATIVELY WEIGHTED KALMAN FILTER SMOOTHING WITH COMPARISON
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Survival analysis is widely applied in data describing for the life time of item until the occurrence of an event of interest such as death or another event of understudy . The purpose of this paper is to use the dynamic approach in the deep learning neural network method, where in this method a dynamic neural network that suits the nature of discrete survival data and time varying effect. This neural network is based on the Levenberg-Marquardt (L-M) algorithm in training, and the method is called Proposed Dynamic Artificial Neural Network (PDANN). Then a comparison was made with another method that depends entirely on the Bayes methodology is called Maximum A Posterior (MAP) method. This method was carried out using numerical algorithms re

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Publication Date
Mon Jul 01 2024
Journal Name
The Iranian Journal Of Medical Sciences
Association between Methylenetetrahydrofolate Reductase (MTHFR( and 5-Methyltetrahydrofolate- Homocysteine Methyltransferase Reductase (MTRR) Polymorphisms in Iraqi Patients with COVID-19
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