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Strategic Risk's Variation as a function of Competitive Intelligence Investment - An applied research on some Iraqi's manufacturing Companies –
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          The main aim of this research has been associated with the study of relationship between competitive intelligence and strategic risk, and to deduct their specific trends, which are interpreted as predicted by research hypotheses according to a review of literature including prior studies. The basic theme  of these hypotheses is related to the probability that declining levels of strategic risk and competitive positions of industrial companies is dependent upon the growing capacity to stay ahead of competitors in the market.

    A purposive non-random sample has selected consisting of (30) thirty Iraqi industrial joint stock companies listed on the Iraq Stock Exchange along a time horizon lasted (10) years (2003-2012). Variables were measured and analyzed, both financially and statistically, on the level of description and interpretation using the ordinal approach for building a probabilistic transition matrices towards estimating strategic risk levels. Moreover, a number of statistical tools has used for statistical description, interpretation and inference, which are measures of central tendency, dispersion, correlation and regression respectively.       

         The required mathematical analyses on companies' data and the four research's hypotheses have tested and conducted on the sample studied after being classified into three minor ones. Then, it has reached to many conclusions confirm research's hypotheses in their prediction on the ability of competitive intelligence, with the resulting investment returns, to interpret the varying levels of strategic risk. A number of recommendations have proposed initiating the need to monitor the movements of competitors and analyze their responses to customers in a dynamic environment. The research has also proposed a number of future works that may exceed the current determinants or being prepared on other designs as a continuous scientific investigation for studying interrelationships of phenomena.

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Publication Date
Fri Nov 01 2019
Journal Name
Journal Of Engineering
Prediction of Heat Transfer Coefficient and Pressure Drop in Wire Heat Exchanger Working with R-134a and R-600a
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An experimental and theoretical works were carried out to model the wire condenser in the domestic refrigerator by calculating the heat transfer coefficient and pressure drop and finding the optimum performance. The two methods were used for calculation, zone method, and an integral method. The work was conducted by using two wire condensers with equal length but different in tube diameters, two refrigerants, R-134a and R-600a, and two different compressors matching the refrigerant type. In the experimental work, the optimum charge was found for the refrigerator according to ASHRAE recommendation. Then, the tests were done at 32˚C ambient temperature in a closed room with dimension (2m*2m*3m). The results showed that th

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Publication Date
Mon Jul 27 2026
Journal Name
Indonesian Journal Of Clinical Pathology And Medical Laboratory
The Value of Cardiac Troponin I and Midkine in predicting coronary artery obstruction severity in Chronic Coronary Syndromes (CCS)
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High-sensitive cardiac troponin I (hs-cTnI) is a recognized marker of myocardial injury in acute coronary syndromes, but its utility in chronic coronary syndromes (CCS) remains unclear. Midkine (MK), a heparin-binding growth factor, plays a role in inflammation and vascular remodeling in atherosclerosis. This cross-sectional study aimed to evaluate the predictive value of serum hs-cTnI and MK in determining the severity of coronary artery obstruction in patients with CCS. The study included 125 subjects undergoing coronary angiography (CAG) at the Iraqi Center of Heart Disease/ Medical City/Baghdad, from March to December 2024. Subjects were classified into three groups based on CAG findings: no CAD, 1- or 2-vessel disease, and 3-ve

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Publication Date
Tue Jun 16 2020
Journal Name
Frontiers In Pharmacology
Administration of Δ9‐Tetrahydrocannabinol (THC) Post‐Staphylococcal Enterotoxin B Exposure Protects Mice From Acute Respiratory Distress Syndrome and Toxicity
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Publication Date
Mon Jun 29 2026
Journal Name
Applied Biosciences
From Epithelial Barrier Disruption to Gingival Remodeling in Periodontitis: The Roles of Snail1 and Twist1 in Epithelial–Mesenchymal Transition
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Periodontitis is a chronic inflammatory disease initiated by dysbiotic biofilms and sustained by an altered host response, resulting in progressive destruction of the tooth-supporting tissues. Alongside immune-mediated damage, epithelial–mesenchymal transition has been proposed as a contributing mechanism in gingival barrier disruption and periodontal tissue remodeling. This narrative review examines the roles of the EMT-related transcription factors Snail1 and Twist1 in periodontitis, with particular focus on their involvement in epithelial junction loss, mesenchymal activation, and disease-associated tissue change. Relevant literature was identified through targeted searches of PubMed/MEDLINE and Google Scholar using terms relat

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Publication Date
Sat Apr 30 2022
Journal Name
Revue D'intelligence Artificielle
Performance Evaluation of SDN DDoS Attack Detection and Mitigation Based Random Forest and K-Nearest Neighbors Machine Learning Algorithms
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Software-defined networks (SDN) have a centralized control architecture that makes them a tempting target for cyber attackers. One of the major threats is distributed denial of service (DDoS) attacks. It aims to exhaust network resources to make its services unavailable to legitimate users. DDoS attack detection based on machine learning algorithms is considered one of the most used techniques in SDN security. In this paper, four machine learning techniques (Random Forest, K-nearest neighbors, Naive Bayes, and Logistic Regression) have been tested to detect DDoS attacks. Also, a mitigation technique has been used to eliminate the attack effect on SDN. RF and KNN were selected because of their high accuracy results. Three types of ne

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Publication Date
Sun Dec 01 2024
Journal Name
Journal Of Ecological Engineering
Enhancing the Removal of Methyl Orange Dye by Electrocoagulation System with Nickel Foam Electrode – Optimization with Surface Response Methodology
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Azo dyes like methyl orange (MO) are very toxic components due to their recalcitrant properties which makes their removal from wastewater of textile industries a significant issue. The present study aimed to study their removal by utilizing aluminum and Ni foam (NiF) as anodes besides Fe foam electrodes as cathodes in an electrocoagulation (EC) system. Primary experiments were conducted using two Al anodes, two NiF anodes, or Al-NiF anodes to predict their advantages and drawbacks. It was concluded that the Al-NiF anodes were very effective in removing MO dye without long time of treatment or Ni leaching at in the case of adopting the Al-Al or NiF-NiF anodes, respectively. The structure and surface morphology of the NiF electrode were inves

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Publication Date
Sat Jan 01 2022
Journal Name
Journal Of Energy Storage
Intensifying the thermal response of PCM via fin-assisted foam strips in the shell-and-tube heat storage system
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Publication Date
Tue Nov 01 2022
Journal Name
Journal Of Engineering
Finite Element Modeling of One-Way Recycled Aggregate Concrete Slabs Strengthened using Near-Surface Mounted CFRPs under Repeated Loading
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This study offers numerical simulation results using the ABAQUS/CAE version 2019 finite element computer application to examine the performance, and residual strength of eight recycle aggregate RC one-way slabs. Six strengthened by NSM CFRP plates were presented to study the impact of several parameters on their structural behavior. The experimental results of four selected slabs under monotonic load, plus one slab under repeated load, were validated numerically. Then the numerical analysis was extended to different parameters investigation, such as the impact of added CFRP length on ultimate load capacity and load-deflection response and the impact of concrete compressive strength value on the structural performance of

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Publication Date
Sun Mar 24 2024
Journal Name
Al-rafidain Journal Of Medical Sciences ( Issn 2789-3219 )
Correlation between Therapeutic Drug Monitoring of Infliximab Serum Trough Levels and other Biomarkers in Iraqi Patients with Crohn's Disease
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Background: Inflammatory bowel disease (IBD) is a collection of chronic, recurrent inflammatory illnesses of the gastrointestinal system, including Crohn's disease (CD). Infliximab is one of the biological medications used to treat CD. Therapeutic drug monitoring has evolved as a treatment in IBD, aiming to optimize benefit while meeting more demanding, objective end criteria. Objective: To determine the achievement of target trough level (TL), develop anti-drug antibodies (ADAs) to infliximab, assess response to therapy, and study TL relations with different variables. Methods: The present study was cross-sectional and conducted from May 2022 to November 2022. It included 40 CD patients allotted into 2 groups: group 1 patients ach

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Publication Date
Mon Jan 01 2024
Journal Name
Baghdad Science Journal
Synthesis, Characterization and Anticancer Activity of Chitosan Schiff Base / PVP Gold Nano Composite in Treating Esophageal Cancer Cell Line
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In the present paper, chitosan Schiff base has been synthesized from chitosan’s reaction with the salicyldehyde. The AuNPs was manufacture by extract of onion peels as a reducing agent. The Au NPs that have been prepared were characterized through the UV-vis spectroscopy, XRD analyses and SEM microscopy. The polymer blends of the chitosan Schiff base / PVP has been prepared through using the approach of solution casting. Chitosan Schiff base / PVP Au nano-composites was prepared. Nano composites and polymer blends have been characterized by FTIR which confirm the formation of Schiff base by revealing a new band of absorption at 1651cm-1 as a result of the (C=N) imine group. SEM, DSC and TGA confirms the thermal stability of

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