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The Role of Gender and Culture in Dealing with the Arab Woman's Issues Embodied in Caricatures: A Cognitive Linguistic Analysis
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Gender and culture are among the factors that influence the process of understanding and interpreting different types of communication, especially images. The current study, which is a part of a master’s thesis, aims at investigating the role of gender and culture in interpreting and understanding the caricatures that deal with women’s issues in Arab societies. To this end, the researchers adopted Barthes’ (1957) concepts of denotation and connotation in his theory of mythologies in addition to Langacker’s (1987) theory of (Domains). The research concludes that the female subjects have better cognitive abilities in investing the signs within the selected caricatures. The other factor the study reached to is that the respondents’ different cultures didn’t affect their way of dealing with the caricatures very much, so they supported the issues raised in the caricatures almost equally.

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Publication Date
Tue Jun 01 2021
Journal Name
Swarm And Evolutionary Computation
A review of heuristics and metaheuristics for community detection in complex networks: Current usage, emerging development and future directions
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Publication Date
Sat Feb 01 2020
Journal Name
Journal Of Green Engineering
Water distribution and interference of wetting front in stratified soil under a continues and an intermittent subsurface drip irrigation
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Publication Date
Tue Jun 01 2021
Journal Name
Swarm And Evolutionary Computation
A review of heuristics and metaheuristics for community detection in complex networks: Current usage, emerging development and future directions
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Sensibly highlighting the hidden structures of many real-world networks has attracted growing interest and triggered a vast array of techniques on what is called nowadays community detection (CD) problem. Non-deterministic metaheuristics are proved to competitively transcending the limits of the counterpart deterministic heuristics in solving community detection problem. Despite the increasing interest, most of the existing metaheuristic based community detection (MCD) algorithms reflect one traditional language. Generally, they tend to explicitly project some features of real communities into different definitions of single or multi-objective optimization functions. The design of other operators, however, remains canonical lacking any inte

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Publication Date
Thu Dec 01 2011
Journal Name
Journal Of Accounting And Financial Studies ( Jafs )
دور حوكمة الشركات في معالجة الاختلالات الهيكلية في سوق العراق للاوراق المالية
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تعد حوكمة الشركات Governance  من المواضيع التي تهم العديد من الباحثين والمنظمات المهنية والدولية في فروع عديدة من المعرفة ، حيث يتضمن مفهوم حوكمة الشركات الاطار الذي يتم من خلاله وضع أهداف الشركات والمتمثله في حماية مصالح حملة الاسهم والاخرين من أصحاب المصلحه ، وتعظيم أداء الشركات وتقليل المخاطر وتحسين فرص الوصول الى أسواق رأس المال.  وان احد اسباب ظهور حوكمة الشركات هو وجود عدد من الاختلالات الهيكلية في ا

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Publication Date
Sat Mar 01 2014
Journal Name
Journal Of Accounting And Financial Studies ( Jafs )
دور الدولة في حل معوقات التنمية الزراعية في العراق بعد عام 2003
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تحتل التنمية الزراعية في معظم بلدان العالم مكانة مهمة ومتميزة لما لها من دور مهم في الحياة الاقتصادية والاجتماعية .ففي البلدان المتقدمة كان هناك دعم كبير  مالي وفني وعلمي وتكنولوجي من قبل الحكومات الى القطاع الزراعي على الرغم من الامكانيات المالية والفنية والادارية والتكنولوجية التي يمتلكها القطاع الخاص الزراعي.لذا فمن الضروري قيام الحكومات في البلدان الناميه بشكل عام والعراق بشكل خاص بتقديم كل اشكال

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Publication Date
Tue Jul 07 2015
Journal Name
European Chemical Bulletin
DETERMINATION OF CANCER ANTIGEN CA15-3 AND ALPHA FETO PROTEIN (AFP) LEVELS AS TUMOR MARKER IN PATIENTS WITH BREAST AND PROSTATE CANCER
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European Chemical Bulletin (ISSN 2063-5346) is a peer-reviewed journal that publishes original research papers, short communications, and review articles in all areas of chemistry. European Chemical Bulletin has eight sections, namely

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Publication Date
Thu Jun 29 2023
Journal Name
International Journal Of Nonlinear Analysis And Applications (ijnaa)
Applying a suitable approximate-simulation technique of an epidemic model with random parameters
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Because the Coronavirus epidemic spread in Iraq, the COVID-19 epidemic of people quarantined due to infection is our application in this work. The numerical simulation methods used in this research are more suitable than other analytical and numerical methods because they solve random systems. Since the Covid-19 epidemic system has random variables coefficients, these methods are used. Suitable numerical simulation methods have been applied to solve the COVID-19 epidemic model in Iraq. The analytical results of the Variation iteration method (VIM) are executed to compare the results. One numerical method which is the Finite difference method (FD) has been used to solve the Coronavirus model and for comparison purposes. The numerical simulat

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Publication Date
Sat Dec 30 2017
Journal Name
International Journal Of Heat And Technology
Optimization of a rectangular pin fin using rectangular perforations with different inclination angles
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Publication Date
Sun Oct 01 2017
Journal Name
Journal Of Mechanical Science And Technology
Optimization of a rectangular pin fin using elliptical perforations with different inclination angles
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Publication Date
Sat Apr 15 2023
Journal Name
Journal Of Robotics
A New Proposed Hybrid Learning Approach with Features for Extraction of Image Classification
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Image classification is the process of finding common features in images from various classes and applying them to categorize and label them. The main problem of the image classification process is the abundance of images, the high complexity of the data, and the shortage of labeled data, presenting the key obstacles in image classification. The cornerstone of image classification is evaluating the convolutional features retrieved from deep learning models and training them with machine learning classifiers. This study proposes a new approach of “hybrid learning” by combining deep learning with machine learning for image classification based on convolutional feature extraction using the VGG-16 deep learning model and seven class

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