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.
Objective)s): To evaluate the quality of life for adult clients with hypermobility syndrome at private clinics in Baghdad City. Methodology: A cross-sectional study used a purposive ‘’non-probability’’ sample of (75) adult clients with Hypermobility Syndrome (HMS) male and female who age (25-64) years. The data were collected through the utilization of standard developed questionnaire of the world health organization (WHO). Data collected by interview with each client who is involved in the study. Each interview takes approximately (20) minutes. Results: The study revealed that there is an effect of hypermobility syndrome on the quality of life, which recorded fair level in general. The study also reported that there is an effect
... Show MoreProblem: Cancer is regarded as one of the world's deadliest diseases. Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. Traditional ways of analyzing cancer data have their limits, and cancer data is growing quickly. This makes it possible for deep learning to move forward with its powerful abilities to analyze and process cancer data. Aims: In the current study, a deep-learning medical support system for the prediction of lung cancer is presented. Methods: The study uses three different deep learning models (EfficientNetB3, ResNet50 and ResNet101) with the transfer learning concept. The three models are trained using a
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Current search problem manifested and widows who community harsh to bear hardships and pains، The goals of continuing the sustainability of life and take responsibility, and especially in light of the difficult circumstances in which Iraq is going through, and the displacement of murder and terrorism, which generated huge numbers of widows and orphans Because of the loss of a breadwinner and which became women and children are the most harm to the victim and as a result of wars and armed tendencies So this research is an important and vital topic opens our horizons important for overlapping roles of women widows and their impact on the achievement and status of Iraqi women and that as long as aptly characterized and their ability to end
... Show MoreA simple setup of random number generator is proposed. The random number generation is based on the shot-noise fluctuations in a p-i-n photodiode. These fluctuations that are defined as shot noise are based on a stationary random process whose statistical properties reflect Poisson statistics associated with photon streams. It has its origin in the quantum nature of light and it is related to vacuum fluctuations. Two photodiodes were used and their shot noise fluctuations were subtracted. The difference was applied to a comparator to obtain the random sequence.
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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This abstract focuses on the significance of wireless body area networks (WBANs) as a cutting-edge and self-governing technology, which has garnered substantial attention from researchers. The central challenge faced by WBANs revolves around upholding quality of service (QoS) within rapidly evolving sectors like healthcare. The intricate task of managing diverse traffic types with limited resources further compounds this challenge. Particularly in medical WBANs, the prioritization of vital data is crucial to ensure prompt delivery of critical information. Given the stringent requirements of these systems, any data loss or delays are untenable, necessitating the implementation of intelligent algorithms. These algorithms play a pivota
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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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Future wireless networks will require advance physical-layer techniques to meet the requirements of Internet of Everything (IoE) applications and massive communication systems. To this end, a massive MIMO (m-MIMO) system is to date considered one of the key technologies for future wireless networks. This is due to the capability of m-MIMO to bring a significant improvement in the spectral efficiency and energy efficiency. However, designing an efficient downlink (DL) training sequence for fast channel state information (CSI) estimation, i.e., with limited coherence time, in a frequency division duplex (FDD) m-MIMO system when users exhibit different correlation patterns, i.e., span distinct channel covariance matrices, is to date ve
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