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US-Russian Interventions in the Caspian-Caucasus Basin Countries after 2001: (Strategies to Re-Impose Control and Influence as a Model)
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Today, the five Caspian riparian states on the shores of the Caspian Sea (Kazakhstan, Turkmenistan, Azerbaijan, Russia, and Iran) have become a front for ambitions and international and regional competition, especially in light of the features and characteristics that natural geography has endowed them with and their enjoyment of a group of economic and mineral wealth that are not optimally exploited so far which made it a strategic attraction area for international trends and interventions, especially Western ones. It is a battleground for major international companies aiming to monopolize promising industrial investments in order to impose control and influence on the region’s resources and economic wealth and thus impose their foreign policies and military and security arrangements on the countries of the Caspian Sea region – the Caucasus and the countries of the Basin region. more broadly.

Accordingly, this region occupy a distinguished position on the agenda of major international policy planners, especially after the dissolution of the Soviet Union and the intensification of international and regional competition in the region, not only for the sake of controlling the rich energy resources (such as oil and natural gas), but to achieve long-term geopolitical and strategic gains. The United States of America is not able to see the region away from its political orientations that coincides with its announcement of the establishment of the (New World Order), and the Russian Federation has been seeking to restore its international position again since President Vladimir Putin came to power in early 2000. This forced Russia to restore its geopolitical position and influence on the countries of the near abroad (Central Asia and the Caucasus), as well as the international competition of the emerging powers shown by China, India, Iran and Turkey, which formed a heated international competition and conflict in the region. As the confined geographical location for the republics of the region, it generated a double political-economic problem, represented by the inability of the countries of the region to benefit directly from their mineral and hydrocarbon resources unless they resort to using the lands and ports of the neighboring countries, most of which suffer from the phenomenon of political and social instability. This imposes the emergence of a set of challenges based on the specificity of the US-Russian interventions in the Caspian-Caucasus Basin countries after 2001 within the framework of conglomeration and enhancing the sustainability of strategies for imposing control and influence by each of the states The United States of America and the Russian Federation regarding this region.

 

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Publication Date
Sun Jun 21 2020
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Nanotechnology-Based Topical Drug Delivery Systems for Management of Dandruff and Seborrheic Dermatitis: An overview
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Dandruff and seborrheic dermatitis (SD) are common skin disorders affecting the scalp and extending to other body sites in the case of SD. They are associated with pruritus and scaling, causing an esthetical disturbance in the population affected.   Treatment of such conditions involves using a variety of drugs for long terms, thus optimizing drug formulation is essential to improve therapeutic efficacy and patient compliance. Conventional topical formulations like shampoos and creams have been widely used but their use is associated with disadvantages. To overcome such effects, novel topical nanotechnology-based formulations are currently under investigation. In the following article, we highlight recently published formulatio

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Publication Date
Sun Jul 12 2026
Journal Name
Natural Resources For Human Health
Manufacturing Functional Yogurt Enriched with Rhamnus Alaternus Fruit Powder and Studying Some of Its Properties
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Functional yogurts enriched with plant-based bioactive compounds have emerged as promising dietary strategies to enhance human health. Objective: This study investigated the fortification of yogurt with Rhamnus alaternus fruit powder and its impact on quality characteristics, sensory attributes, and antioxidant activity. Methods: The current study involved preparing a powder from the fruit of the R. alternus plant, which underwent chemical and antioxidant analysis. Fresh buffalo milk was used to prepare yogurt, and products were fortified with the R. alternus powder. Results: R. alternus powder demonstrated significant improvements in taste, flavor, texture, color, and overall acceptability compared to the control. Conclusion: R. alternus p

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Publication Date
Mon Oct 01 2018
Journal Name
Journal Of Engineering
Synthesis and Characterization of Magnetic Iron Oxide Nanoparticles by Co-Precipitation Method at Different Conditions
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Magnetic nanoparticles (MNPs) of iron oxide (Fe3O4) represent the most promising materials in many applications. MNPs have been synthesized by co-precipitation of ferric and ferrous ions in alkaline solution. Two methods of synthesis were conducted with different parameters, such as temperature (25 and 80 ̊C), adding a base to the reactants and the opposite process, and using nitrogen as an inert gas. The product of the first method (MNPs-1) and the second method (MNPs-2) were characterized by x-ray diffractometer (XRD), Zeta Potential, atomic force microscope (AFM) and scanning electron microscope (SEM). AFM results showed convergent particle size of (MNPs-1) and (MNPs-2) with (86.01) and (74.14)

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Publication Date
Sun Jun 16 2013
Journal Name
International Journal For Sciences And Technology
Synthesis and Characterization of Some New Thiazine-4-Ones Containing 1, 3, 4-Thiadiazole Moiety
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Small ring heterocycles containing nitrogen and sulfur have been under investigation for a long time because of their important medicinal properties. Among the wide range of heterocycles explored to develop pharmaceutically important molecules, thiadiazoles had played an important role in medicinal chemistry. A survey of literature had shown that compounds having thiadiazole nucleus possess a broad range of biological activities such as anti-inflammatory (1), antibacterial (2), and antifungal activities (3). Thiazine-4-one and their derivatives are import classes of compounds in organic and medicinal chemistry. The thiazine-4-one ring system is a core structure in various synthetic pharmaceutical agents, displaying a broad spectrum of biolo

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Publication Date
Tue Jan 08 2019
Journal Name
Iraqi Journal Of Physics
Structure and optical properties of PANI/MWCNTs nanocomposites thin films prepared by plasma jet polymerization
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Polyaniline Multi walled Carbon nanotubes (PANI/MWCNTs) nanocomposite thin films have been prepared by non-equilibrium atmospheric pressure plasma jet on glass substrate with different weight percentage of MWCNTs 1, 2, 3, 4%. The diameter of the MWCNTs was in the range of 8-55 nm and length - - 55 55 μm. the nanocomposite thin films were characterized by UV-VIS, XRD, FTIR, and SEM. The optical studies show that the energy band gap of PANI/MWCNTs nanocomposites thin films will be different according to the MWCNTs polyaniline concentration. The XRD pattern indicates that the synthesized PANI/MWCNTs nanocomposite is amorphous. FTIR reveals the presence of MWCNTs nanoparticle embedded into polyaniline. SEM surface images show that the MWCNT

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Publication Date
Sat Dec 01 2012
Journal Name
Journal Of Engineering
Nonlinear Finite Element Analysis of Steel Fiber Reinforced Concrete Deep Beams With and Without Opening
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This paper presents a nonlinear finite element modeling and analysis of steel fiber reinforced concrete (SFRC) deep beams with and without openings in web subjected to two- point loading. In this study, the beams were modeled using ANSYS nonlinear finite element
software. The percentage of steel fiber was varied from 0 to 1.0%.The influence of fiber content in the concrete deep beams has been studied by measuring the deflection of the deep beams at mid- span and marking the cracking patterns, compute the failure loads for each deep beam, and also study the shearing and first principal stresses for the deep beams with and without openings and with different steel fiber ratios. The above study indicates that the location of openings an

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Publication Date
Mon Jun 01 2026
Journal Name
Chemical Physics Impact
High-density perovskite oxide ceramics with enhanced proton stopping power and gamma-ray shielding efficiency
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Publication Date
Thu Jan 31 2019
Journal Name
Journal Of Engineering
Mechanical Properties Enhancement of Conventional Glass Ionomer Cement by Adding Zirconium Oxide Micro and Nanoparticles
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The aim of this work is to enhance the mechanical properties of the glass ionomer cement GIC (dental materials) by adding Zirconium Oxide ZrO2 in both micro and nano particles. GIC were mixed with (3, 5 and 7) wt% of both ZrO2 micro and nanoparticles separately. Compressive strength (CS), biaxial flexural strength (BFS), Vickers Microhardness (VH) and wear rate losses (WR) were investigated. The maximum compression strength was 122.31 MPa with 5 wt. % ZrO2 micro particle, while 3wt% nanoparticles give highest Microhardness and biaxial flexural strength of 88.8 VHN and 35.79 MPa respectively. The minimum wear rate losses were 3.776µg/m with 7 wt. % ZrO2 nanoparticle. GIC-contai

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Publication Date
Tue Mar 31 2026
Journal Name
Mesopotamian Journal Of Big Data
Automatic Classification of Orange Fruit Diseases Using Multilayer Deep Features and Traditional Machine Learning Classifiers
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Citrus diseases are the main issue for agricultural productivity, which cause a reduction in yield and quality, thus causing economic loss; also, we see that traditional methods of diagnosis, which are very subjective and prone to error, and thus we need to suggest accurate automated detection systems. In this study, we present a hybrid model that integrates conventional machine learning with deep learning models. We used the Gray Level Co-occurrence Matrix (GLCM) for feature extraction, which is classified via machine learning algorithms like k-Nearest Neighbors (KNN), Decision Tree (DT), Linear Discriminant Analysis (LDA), and Random Forest (RF). At the same time, deep convolutional neural networks (DCNNs), GoogLeNet, and ResNet18

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Publication Date
Fri Nov 09 2018
Journal Name
Iraqi National Journal Of Nursing Specialties
Assessment Knowledge and Attitudes of Baghdad University Students’ toward Human immunodeficiency virus / acquired immunodeficiency syndrome
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Objective(s): To assess Baghdad University students’ knowledge and attitudes toward HIV/AIDS, and to find out
the relationship of Baghdad University students’ knowledge and attitudes with certain variables (gender,
socioeconomic status, field of study).
Methodology: A descriptive analytic study was used to assess the knowledge and attitudes of Baghdad University
Students’ toward HIV/AIDS. The study was conducted (November 1st 2012 to July 15th 2013). A non-probability
(purposive sample) of 400 students (males-138 and females-262) were selected from four colleges and they were
in the fourth class, a probability (stratified random) method was used to select four colleges at University of
Baghdad as a study settin

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