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International variables and their impact on the flow of foreign direct investment in Gulf Cooperation Council (GCC)
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Abstract:

The six Arab Gulf states (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, UAE) play a vital role, especially with its geographical location and natural  resources (oil and gas) as well as other cultural and civilizational elements, in achieving  global economic balance and more specifically global energy security, naturally  because of  these countries have a comparative advantage in the field of fossil energy (oil and gas), thus this sector becomes more attractive for local and international investments alike. Being  the energy sector a leader sector in the economic development process, and the basic factor to achieve savings and financial surpluses in these countries for several decades .

  Foreign direct investment has become principal reason to achieve growth and develop the ability for competiveness of many countries, even those possess mineral and natural resources, and achieving financial abundance and surpluses in public finances including the six Gulf Cooperation Countries (GCC), which began  encouraging foreign investment and attempts for serious reforms in the economic, legal and administrative systems to improve the investment environment in the world as a whole, and managed some of these countries to find sectors attract foreign investment as a sector petrochemicals, construction, and the establishment of free zones to attract investment to these areas.

   This research focuses on international variables can play an influential role in increasing investment flows or reduce them, and these variables are different in origin and influence and try to focus in this paper on the effects of these variables and the strength of interdependence with the internal environment in those countries.

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Publication Date
Thu Aug 01 2024
Journal Name
Advances In Science And Technology Research Journal
Power Predicting for Power Take-Off Shaft of a Disc Maize Silage Harvester Using Machine Learning
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Publication Date
Sun Jan 01 2023
Journal Name
Journal Of Robotics And Control (jrc)
Artificial Intelligence Based Deep Bayesian Neural Network (DBNN) Toward Personalized Treatment of Leukemia with Stem Cells
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The dynamic development of computer and software technology in recent years was accompanied by the expansion and widespread implementation of artificial intelligence (AI) based methods in many aspects of human life. A prominent field where rapid progress was observed are high‐throughput methods in biology that generate big amounts of data that need to be processed and analyzed. Therefore, AI methods are more and more applied in the biomedical field, among others for RNA‐protein binding sites prediction, DNA sequence function prediction, protein‐protein interaction prediction, or biomedical image classification. Stem cells are widely used in biomedical research, e.g., leukemia or other disease studies. Our proposed approach of

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Publication Date
Mon Nov 01 2021
Journal Name
Energy Reports
Global solar radiation prediction over North Dakota using air temperature: Development of novel hybrid intelligence model
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Publication Date
Mon Jun 30 2025
Journal Name
Medical Journal Of Babylon
Assessment of Six Polymorphic Variants as Genetic Risks for Coronary Artery Disease: A Case–Control Study
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Abstract<sec> <title>Background:

Coronary artery disease (CAD) is the leading cause of death worldwide. Certain genetic polymorphisms play an important role in this multifactorial disease, being linked with increased risk of early onset CAD.

Objective:

To assess six genetic polymorphisms and clinical risk factors in relation to early onset nondiabetic Iraqi Arab CAD patients compared to controls.

Materials and Methods:

This case–contro

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Publication Date
Wed Feb 01 2023
Journal Name
Colloid Journal
Application of Hydrophilic Lipophilic Difference Theory for Fenofibrate Formulation as a Self-Emulsifying Drug Delivery System
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Improved oral bioavailability of lipophilic substances can be achieved using self-emulsifying drug delivery systems. However, because the properties of self-emulsifying are greatly influenced by surfactant amount and type, type of oil used, droplet size, charge, cosolvents, and physiological variables, the synthesis of self-emulsifying is highly complex; consequently, only a small number of excipient self-emulsifying formulations has been developed so far for clinical use. This study reports a highly effective procedure for developing self-emulsifying formulations using a novel approach based on the hydrophilic-lipophilic difference theory. Microemulsion characteristics, such as the constituents and amounts of oil and surfactant electrolyte

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Publication Date
Mon Apr 19 2021
Journal Name
Bridge Maintenance, Safety, Management, Life-cycle Sustainability And Innovations
Flexure strengthening of concrete bridge girders with concavely curved soffit using near-surface-mounted CFRP bars
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Publication Date
Fri Jan 01 2016
Journal Name
Asian Journal Of Chemistry
Zwitterionic Ion Chromatography of Dansyl Amino Acids with 4-Vinylbenzyl Dimethyl Ammonio Pentanesulfonate as Stationary Phase
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Publication Date
Sun Sep 22 2019
Journal Name
Baghdad Science Journal
Detection of CTX-M-type ESBLs from Escherichia coli Clinical Isolates from a Tertiary Hospital, Malaysia
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The present study aims to detect CTX-M-type ESBL from Escherichia coli clinical isolates and to analyze their antibotic susceptibility patterns. One hundred of E. coli isolates were collected from different clinical samples from a tertiary hospital. ESBL positivity was determined by the disk diffusion method. PCR used for amplification of CTX-M-type ESBL produced by E. coli. Out of 100 E. coli isolates, twenty-four isolates (24%) were ESBL-producers. E. coli isolated from pus was the most frequent clinical specimen that produced ESBL (41.66%) followed by urine (34.21%), respiratory (22.23%), and blood (19.05%).  After PCR amplification of these 24 isolates, 10 (41.66%) isolates were found to possess CTX-M genes. The CTX-M type ESBL

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Publication Date
Tue May 15 2012
Journal Name
Alustath Journal For Human And Social Sciences
A Syntactico-Semantic Study of English Phrasal Verbs دراسة نحوية دلالية للأفعال المركبة في اللغة الانكليزية
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This paper is an attempt to investigate the syntactic and semantic features of the English phrasal verbs. In this paper, phrasal verbs were classified into subgroups according to their syntactic and semantic characteristics. After giving a survey of literature written on the meaning and definition of phrasal verbs, two sections have been devoted to tackle the most important issues in this category of English verbs. Section one sheds light on the basic definitions of the term ‘phrasal verb’ which are, according to the researcher’s point of view, sufficient to cover the area of the study. In addition, it studies the number and the importance of phrasal verbs in English. Section two deals with the syntactic and semantic features of Engli

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Publication Date
Fri Jun 01 2018
Journal Name
Journal Of The College Of Languages (jcl)
Проблемы преподавания русской литературы в иракской аудитории Problems of Teaching Russian Literature to Iraqi College Students
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Аннотация

    в статье рассматриваются проблемы преподавания русской литературы в иракской аудитории.. Использование литературы в преподавании иностранного языка, как правило, имеет две цели. Первая-чисто лингвистическая .. Вторая цель, однако, ассоциируется больше с экстралингвистикой  и представляет собой ознакомление студентов с различными аспектами русской жизни, культуры,

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