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Borrowing in a diwan Moon Tree for Nazik Angels
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The moon tree, the lover of the night, cholera, the sea changes its colors are poetic products left by the pioneer of free poetry, as many have called her. She used to write poetry and publish it in magazines and newspapers until she published it with collections that came into existence from an early age. Several factors helped her in that that contributed to the formation of her personality and the maturity of her talent, including factors Family, including environmental, and psychological, until she later became the focus of attention of many, so she became taught in the universities of London, and students stood by her method of writing free poetry, this poetic color that Badr Shaker Al-Sayyab participated in pioneering. Whoever examines the life of this poet and her achievements finds that every part of her life evaluates research and letters, and every house she has has a lot of ambiguity and creativity, which makes you stand there a lot to meditate on it and dive into its meanings and try to extract the rhetorical arts from it and wonder how a poet at an early age had this ability to choose words. Eloquent to this extent, and how can you weave it, but you go back and say talent and the poet's family are the two main poles in its formation, in addition to its culture and study, which enabled it to impart Arab landmarks colored by the Western character and renewal. And al-Sayyab explained by saying: (The two poets - meaning Nazek and al-Sayyab - tried to renew the content of Arabic poetry and followed the general form of the poem on the path of immigrant literature and American literature in particular. Badr was deeply impressed by English and American literature, and he admired the American poet TS Eliot. .......... As for Nazik, she is authentic in her Arab culture and in her understanding of Arabic literature. It was clear, and it followed a well-marked path (( ), as for its pioneering of free poetry, it had another opinion, it was mentioned that this poetry has roots dating back to the year 1911 AD, in what was published in magazines and newspapers, and that Nazik and Al-Siyab re-try and renew () although they are in many Interviews It was confirmed that she is the pioneer of free poetry, from that an interview that Dr. Mahmoud Muhammad al-Habib conducted with her and was published in the Journal of Arts when he asked her by saying: (There was a lot of controversy about the first poem that was composed in free poetry. It was said that the late Badr Shakir al-Sayyab preceded you in that in his poem “Was it Love” in his collection “Withered Flowers” (1947), while you insist that you preceded him chronologically in your poem “Cholera” which was published by Al-Oruba magazine on 1/12/1947.. .......... - She replied - ....... The important thing is that my poem was published before his poem, and I did not have any knowledge of Badr Shakir al-Sayyab - may God have mercy on him - at that time, so he did not look at my poem when he composed his poem Nor did I read his poem when I compiled mine, but each of us started separately. The two poems (Cholera) and (Was it Love) differ from one another in weight, theme, form, and language...) () We note from her answer that she insists and is proud that she is the pioneer of poetry Al-Hur, with her poem Cholera, was agreed by many.

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Publication Date
Sat Dec 01 2018
Journal Name
Applied Soft Computing
A new evolutionary algorithm with locally assisted heuristic for complex detection in protein interaction networks
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Publication Date
Fri Jan 01 2021
Journal Name
International Journal Of Agricultural And Statistical Sciences
A noval SVR estimation of figarch modal and forecasting for white oil data in Iraq
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The purpose of this paper is to model and forecast the white oil during the period (2012-2019) using volatility GARCH-class. After showing that squared returns of white oil have a significant long memory in the volatility, the return series based on fractional GARCH models are estimated and forecasted for the mean and volatility by quasi maximum likelihood QML as a traditional method. While the competition includes machine learning approaches using Support Vector Regression (SVR). Results showed that the best appropriate model among many other models to forecast the volatility, depending on the lowest value of Akaike information criterion and Schwartz information criterion, also the parameters must be significant. In addition, the residuals

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Publication Date
Mon Mar 08 2021
Journal Name
Baghdad Science Journal
A stuy Some physical properties for play (vunyl alcohol) in aquecous solution at four temperatures
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The densities and visconsities of solutions of poly(vinyl alcohol)(PVA) molccuar weight (14)kg.mol-1in water up to 0.035%mol.kg-1

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Publication Date
Thu Aug 01 2019
Journal Name
Ieee Internet Of Things Journal
A New Task Allocation Protocol for Extending Stability and Operational Periods in Internet of Things
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Publication Date
Mon Jun 12 2017
Journal Name
Day 3 Wed, June 14, 2017
A New Practical Method for Predicting Equivalent Drainage Area of Well in Tight Gas Reservoirs
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Abstract<p>The tight gas is one of the main types of the unconventional gas. Typically the tight gas reservoirs consist of highly heterogeneous low permeability reservoir. The economic evaluation for the production from tight gas production is very challenging task because of prevailing uncertainties associated with key reservoir properties, such as porosity, permeability as well as drainage boundary. However one of the important parameters requiring in this economic evaluation is the equivalent drainage area of the well, which relates the actual volume of fluids (e.g gas) produced or withdrawn from the reservoir at a certain moment that changes with time. It is difficult to predict this equival</p> ... Show More
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Publication Date
Fri Oct 07 2022
Journal Name
Texas Journal Of Engineering And Technology
Estimation of Pore Pressure and In-Situ Stresses for Halfaya Oil Field: A Case Study
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Publication Date
Thu Oct 13 2022
Journal Name
Computation
A Pattern-Recognizer Artificial Neural Network for the Prediction of New Crescent Visibility in Iraq
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Various theories have been proposed since in last century to predict the first sighting of a new crescent moon. None of them uses the concept of machine and deep learning to process, interpret and simulate patterns hidden in databases. Many of these theories use interpolation and extrapolation techniques to identify sighting regions through such data. In this study, a pattern recognizer artificial neural network was trained to distinguish between visibility regions. Essential parameters of crescent moon sighting were collected from moon sight datasets and used to build an intelligent system of pattern recognition to predict the crescent sight conditions. The proposed ANN learned the datasets with an accuracy of more than 72% in comp

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Publication Date
Sun Oct 01 2023
Journal Name
Bulletin Of Electrical Engineering And Informatics
A novel data offloading scheme for QoS optimization in 5G based internet of medical things
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The internet of medical things (IoMT), which is expected the lead to the biggest technology in worldwide distribution. Using 5th generation (5G) transmission, market possibilities and hazards related to IoMT are improved and detected. This framework describes a strategy for proactively addressing worries and offering a forum to promote development, alter attitudes and maintain people's confidence in the broader healthcare system without compromising security. It is combined with a data offloading system to speed up the transmission of medical data and improved the quality of service (QoS). As a result of this development, we suggested the enriched energy efficient fuzzy (EEEF) data offloading technique to enhance the delivery of dat

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Publication Date
Sat Jan 01 2022
Journal Name
Iranian Journal Of Earth Sciences
Resistivity surveys application for detection of shallow caves in a case example from Western Iraq
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Publication Date
Wed Dec 23 2020
Journal Name
Iraqi Journal For Electrical And Electronic Engineering
Heuristic and Meta-Heuristic Optimization Models for Task Scheduling in Cloud-Fog Systems: A Review
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Nowadays, cloud computing has attracted the attention of large companies due to its high potential, flexibility, and profitability in providing multi-sources of hardware and software to serve the connected users. Given the scale of modern data centers and the dynamic nature of their resource provisioning, we need effective scheduling techniques to manage these resources while satisfying both the cloud providers and cloud users goals. Task scheduling in cloud computing is considered as NP-hard problem which cannot be easily solved by classical optimization methods. Thus, both heuristic and meta-heuristic techniques have been utilized to provide optimal or near-optimal solutions within an acceptable time frame for such problems. In th

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