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.
Most of the medical datasets suffer from missing data, due to the expense of some tests or human faults while recording these tests. This issue affects the performance of the machine learning models because the values of some features will be missing. Therefore, there is a need for a specific type of methods for imputing these missing data. In this research, the salp swarm algorithm (SSA) is used for generating and imputing the missing values in the pain in my ass (also known Pima) Indian diabetes disease (PIDD) dataset, the proposed algorithm is called (ISSA). The obtained results showed that the classification performance of three different classifiers which are support vector machine (SVM), K-nearest neighbour (KNN), and Naïve B
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This study employs evolutionary optimization and Artificial Intelligence algorithms to determine an individual’s age using a single-faced image as the basis for the identification process. Additionally, we used the WIKI dataset, widely considered the most comprehensive collection of facial images to date, including descriptions of age and gender attributes. However, estimating age from facial images is a recent topic of study, even though much research has been undertaken on establishing chronological age from facial photographs. Retrained artificial neural networks are used for classification after applying reprocessing and optimization techniques to achieve this goal. It is possible that the difficulty of determining age could be reduce
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Nowadays, Wheeled Mobile Robots (WMRs) have found many applications as industry, transportation, inspection, and other fields. Therefore, the trajectory tracking control of the nonholonomic wheeled mobile robots have an important problem. This work focus on the application of model-based on Fractional Order PIaDb (FOPID) controller for trajectory tracking problem. The control algorithm based on the errors in postures of mobile robot which feed to FOPID controller to generate correction signals that transport to torque for each driven wheel, and by means of dynamics model of mobile robot these torques used to compute the linear and angular speed to reach the desired pose. In this work a dynamics model of
... Show MoreIn this work, the switching nonlinear dynamics of a Fabry-Perot etalon are studied. The method used to complete the solution of the differential equations for the nonlinear medium. The Debye relaxation equations solved numerically to predict the behavior of the cavity for modulated input power. The response of the cavity filled with materials of different response time is depicted. For a material with a response time equal to = 50 ns, the cavity switches after about (100 ns). Notice that there is always a finite time delay before the cavity switches. The switch up time is much longer than the cavity build-up time of the corresponding linear cavity which was found to be of the order of a few round-trip ti
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Cancer is in general not a result of an abnormality of a single gene but a consequence of changes in many genes, it is therefore of great importance to understand the roles of different oncogenic and tumor suppressor pathways in tumorigenesis. In recent years, there have been many computational models developed to study the genetic alterations of different pathways in the evolutionary process of cancer. However, most of the methods are knowledge-based enrichment analyses and inflexible to analyze user-defined pathways or gene sets. In this paper, we develop a nonparametric and data-driven approach to testing for the dynamic changes of pathways over the cancer progression. Our method is based on an expansion and refinement of the pathway bei
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Polyacrylonitrile nanofiber (PANFS), a well-known polymers, has been extensively employed in the manufacturing of carbon nanofibers (CNFS), which have recently gained substantial attention due to their excellent features, such as spinnability, environmental friendliness, and commercial feasibility. Because of their high carbon yield and versatility in tailoring the final CNFS structure, In addition to the simple formation of ladder structures through nitrile polymerization to yield stable products, CNFS and PAN have been the focus of extensive research as potential production precursors. For instance, the development of biomedical and high-performance composites has now become achievable. PAN homopolymer or PAN-based precursor copolymer can
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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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