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.
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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The increasing demand for energy has encouraged the development of renewable resources and environmentally benign fuel such as biodiesel. In this study, ethyl fatty esters (EFEs), a major component of biodiesel fuel, were synthesized from soybean oil using sodium ethoxide as a catalyst. By-products were glycerol and difatty acyl urea (DFAU), which has biological characteristics, as antibiotics and antifungal medications. Both EFEs and DFAU have been characterized using Fourier transform infrared (FTIR) spectroscopy, and 1H nuclear magnetic resonance (NMR) technique. The optimum conditions were studied as a function of reaction time, reactant molar ratios, catalyst percentage and the effect of organic solvents. The conversion ratio of soybea
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In this paper, a new equivalent lumped parameter model is proposed for describing the vibration of beams under the moving load effect. Also, an analytical formula for calculating such vibration for low-speed loads is presented. Furthermore, a MATLAB/Simulink model is introduced to give a simple and accurate solution that can be used to design beams subjected to any moving loads, i.e., loads of any magnitude and speed. In general, the proposed Simulink model can be used much easier than the alternative FEM software, which is usually used in designing such beams. The obtained results from the analytical formula and the proposed Simulink model were compared with those obtained from Ansys R19.0, and very good agreement has been shown. I
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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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The provision of safe water for people is a human right; historically, a major number of people depend on groundwater as a source of water for their needs, such as agricultural, industrial or human activities. Water resources have recently been affected by organic and/or inorganic contaminants as a result of population growth and increased anthropogenic activity, soil leaching and pollution. Water resource remediation has become a serious environmental concern, since it has a direct impact on many aspects of people’s lives. For decades, the pump-and-treat method has been considered the predominant treatment process for the remediation of contaminated groundwater with organic and inorganic contaminants. On the other side, this tech
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Lost circulation or losses in drilling fluid is one of the most important problems in the oil and gas industry, and it appeared at the beginning of this industry, which caused many problems during the drilling process, which may lead to closing the well and stopping the drilling process. The drilling muds are relatively expensive, especially the muds that contain oil-based mud or that contain special additives, so it is not economically beneficial to waste and lose these muds. The treatment of drilling fluid losses is also somewhat expensive as a result of the wasted time that it caused, as well as the high cost of materials used in the treatment such as heavy materials, cement, and others. The best way to deal with drilling fluid losses
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In this paper , an efficient new procedure is proposed to modify third –order iterative method obtained by Rostom and Fuad [Saeed. R. K. and Khthr. F.W. New third –order iterative method for solving nonlinear equations. J. Appl. Sci .7(2011): 916-921] , using three steps based on Newton equation , finite difference method and linear interpolation. Analysis of convergence is given to show the efficiency and the performance of the new method for solving nonlinear equations. The efficiency of the new method is demonstrated by numerical examples.
The objective of this study is to evaluate the efficacy and safety of rowatinex and tamsulosin in the treatment of patients with ureteric stone.
Forty patients with ureteric stone ranged (4- 12) mm, were included in this study. They were randomized into two groups where the first group includes twenty patients treated with Rowatinex three times daily (Group 1), and the second group includes twenty patients treated with tamsulosin 0.4mg/day (Group 2). All patients were randomly assigned to receive the designed standard medical therapy for a maximum of 3 weeks.
Each group was given an antibiotic as prophylaxis and an injectable non-steroidal anti-inflammatory drug used on demand. At the outpatient clinic all subjects were a
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