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Using poetry in teaching Russian language in university of Baghdad / faculty of langu: Использование поэзии в процессе обучения русскому языку на кафедре русского языка факультета языков Багдадского университета
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There are many methods of teaching foreign language to non-native speakers now therefore the discovery of new methods - which  make students understand the language , vocabulary & saves them as soon as possible – becomes one of  the most important duties of teachers and educators .

The personal experience shows that the teaching of the Russian language through memorizing    Russian poetry is   one of the fastest ways to master the language and know its rules and also    improve the   ability of translating vocabulary and being not able to  save the Russian words only  , but to make it complete too. Poetry is an article or text which loves by people and enjoy reading it,   therefore, using it to   teach foreign language has a positive reaction on students. As we mentioned it helps greatly to absorb the language.

A lot of professors and experts in teaching methods _ specialists in language teaching for foreign students in different grades _ use poetic texts in teaching a foreign language to avoid the boredom in teaching grammar and make it interesting.   

Аннотация

Статья посвящена возможности использования в обучении русскому языку как иностранному Есть много методов обучения иностранному языку для не-носителей языка в настоящее время до открытия новых методов-которые делают студенты понимают язык, словарный запас и сохраняет их как можно скорее-становится одним из самых важных обязанностей учителей и преподавателей . Личный опыт показывает , что преподавание русского языка через поэзию русского языка является одним из самых быстрых способов овладеть языком и знать его правила, а также улучшить способность переводить словарный запас и быть не в состоянии сохранить только русские слова, но и сделать его полным.

 

          

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Publication Date
Sat Dec 01 2018
Journal Name
Indian Journal Of Natural Sciences
Geology and Structure Analysis of Shaqlawa – Merawa Area, Northern Iraq Using Remote Sensing, GIS and Field Observations
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This study appears GIS techniqueand remote sensing data are matching with the field observation to identify the structural features such as fault segments in the urban area such as the Merawa and Shaqlawa Cities. The use of different types of data such as fault systems, drainage patterns (previously mapped), lineament, and lithological contacts with spatial resolution of 30m was combined through a process of integration and index overlay modeling technique for producing the susceptibility map of fault segments in the study area. GIS spatial overlay technique was used to determine the spatial relationships of all the criteria (factors) and subcriteria (classes) within layers (maps) to classify and map the potential ar

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Sun Jun 02 2019
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Publication Date
Wed Jun 30 2021
Journal Name
International Journal Of Research In Medical Sciences & Technology
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Publication Date
Sat Aug 04 2012
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Publication Date
Sun Sep 02 2012
Journal Name
Baghdad Science Journal
Evaluation of bread wheat Triticum aestivum L. callus genotypes for water stress tolerance using Polyethylene Glycol (PEG)
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Publication Date
Thu Feb 01 2024
Journal Name
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Predicting Biochemical Oxygen Demand at the Inlet of Al-Rustumiya Wastewater Treatment Plant Using Different Mathematical Techniques
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Water quality planning relies on Biochemical Oxygen Demand BOD. BOD testing takes five days. The Particle Swarm Optimization (PSO) is increasingly used for water resource forecasting. This work designed a PSO technique for estimating everyday BOD at Al-Rustumiya wastewater treatment facility inlet. Al-Rustumiya wastewater treatment plant provided 702 plant-scale data sets during 2012-2022. The PSO model uses the daily data of the water quality parameters, including chemical oxygen demand (COD), chloride (Cl-), suspended solid (SS), total dissolved solids (TDS), and pH, to determine how each variable affects the daily incoming BOD. PSO and multiple linear regression (MLR) findings are compared, and their perfor

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Publication Date
Fri Dec 01 2023
Journal Name
Al-khwarizmi Engineering Journal
Development of an ANN Model for RGB Color Classification using the Dataset Extracted from a Fabricated Colorimeter
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Codes of red, green, and blue data (RGB) extracted from a lab-fabricated colorimeter device were used to build a proposed classifier with the objective of classifying colors of objects based on defined categories of fundamental colors. Primary, secondary, and tertiary colors namely red, green, orange, yellow, pink, purple, blue, brown, grey, white, and black, were employed in machine learning (ML) by applying an artificial neural network (ANN) algorithm using Python. The classifier, which was based on the ANN algorithm, required a definition of the mentioned eleven colors in the form of RGB codes in order to acquire the capability of classification. The software's capacity to forecast the color of the code that belongs to an object under de

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Publication Date
Thu Dec 31 2015
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Electrolytic removal of zinc from simulated chloride wastewaters using a novel flow-by fixed bed electrochemical reactor
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Publication Date
Fri Jan 01 2010
Journal Name
Ibn Al- Haitham J. Fo R Pure & Appl. Sci
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Publication Date
Sun Sep 01 2019
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Removing of Hexavalent Chromium from Aqueous Solutions Using Dried Yogurt, and Studying Isotherm, Kinetic and Thermodynamic Parameters
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