The Comedy of patterns dramas that gave Representative possibilities of advanced functionality and wide being dependent on the diversity performance piece , which is intended to provoke laughter at the receiver, through the diversity of genres performing between dancing and singing and Albantomaim and other methods that have made them distinct from the species dramas other being enabled Representative in dealing with all roles across mature and adaptation of his tools of physical and vocal , as the comedy discusses the societal issues many have a factor of psychological and behind their platforms as a tool face is not directly give way to vent citizen injustice and disadvantages of humans and these conditions need to techniques of physic

توافدت إلى الساحة النقدية اللغوية والأدبية الحديثة مصطلحات من بيئات مختلفة، امتلك بعضها فضيلة المواءمة لمشارب متنوعة مما أهّله لإمامة العنوان في دراسات متعددة ،هذا ما كان من شأن( استراتيجية) ذلك المصطلح العسكري الرحّال إلى حقول العلوم الإنسانية ،فلقدرته التفاعلية استقبلته في حضرة البلاغة رفيقاً لمحسن بديعي تسلّط في التصوّر المنهجي بمفهوم الانسجام اللفظي، ذلك هو( المشاكلة) التي تعني ذكر الشيء بلفظ غيره لوق

The cruel human suffering experienced by the Andalusians was a religious and racist conflict that affected all aspects of public life. Religious conflict was one of the most important factors determining the hostile relationship between the Andalusians and the Castiles. Castile sought to make them Christians by force, through laws that deprived them of all their rights.

The aim of the research is to investigate the effect of cold plasma on the bacteria grown on texture of sesame paste in its normal particle and nano particle size. Starting by using the image segmentation process depending on the threshold method, it is used to get rid of the reflection of the glass slides on which the sesame samples are placed.  The classification process implemented to separate the sesame paste texture from normal and abnormal texture. The abnormal texture appears when the bacteria has been grown on the sesame paste after being left for two days in the air, unsupervised k-mean classification process used to classify the infected region, the normal region and the treated region. The bacteria treated with cold plasma, t

Medical images play a crucial role in the classification of various diseases and conditions. One of the imaging modalities is X-rays which provide valuable visual information that helps in the identification and characterization of various medical conditions. Chest radiograph (CXR) images have long been used to examine and monitor numerous lung disorders, such as tuberculosis, pneumonia, atelectasis, and hernia. COVID-19 detection can be accomplished using CXR images as well. COVID-19, a virus that causes infections in the lungs and the airways of the upper respiratory tract, was first discovered in 2019 in Wuhan Province, China, and has since been thought to cause substantial airway damage, badly impacting the lungs of affected persons.

Healthcare professionals routinely use audio signals, generated by the human body, to help diagnose disease or assess its progression. With new technologies, it is now possible to collect human-generated sounds, such as coughing. Audio-based machine learning technologies can be adopted for automatic analysis of collected data. Valuable and rich information can be obtained from the cough signal and extracting effective characteristics from a finite duration time interval that changes as a function of time. This article presents a proposed approach to the detection and diagnosis of COVID-19 through the processing of cough collected from patients suffering from the most common symptoms of this pandemic. The proposed method is based on adopt

Document source identification in printer forensics involves determining the origin of a printed document based on characteristics such as the printer model, serial number, defects, or unique printing artifacts. This process is crucial in forensic investigations, particularly in cases involving counterfeit documents or unauthorized printing. However, consistent pattern identification across various printer types remains challenging, especially when efforts are made to alter printer-generated artifacts. Machine learning models are often used in these tasks, but selecting discriminative features while minimizing noise is essential. Traditional KNN classifiers require a careful selection of distance metrics to capture relevant printing

This study addresses the issue of academic writing in English by comparing pragmatic argumentation in the writing of 40 graduate students studying at Iraqi universities (SSIU) with the writing of 40 graduate students studying at American universities (SSAU). In these 80 theses, six selected aspects of academic writing were analyzed: (a) paragraph structure, (b) length and construction of sentences, (c) organization of information in sentences, (d) vocabulary, (e) topic sentences, and (f) discourse markers. This study seeks to go beyond the traditional and often onedimensional analysis of pragmatics of argumentation in English academic writing to distinguish and describe different aspects of academic writing and their results when used by EF

The research was carried out in lathhouse on one-year-old apple seedlings of the Ibrahimi variety in the Karma-Fallujah region for the 2021 growing season to study the effect of methods of adding nano-fertilizer and humic acid on seedling growth. A two-factor experiment was designed according to a randomized complete block design, with three replicates and two seedlings per experimental unit, so the number of seedlings was 54. The first factor includes NPK nanofertilizer at three levels (0- and 2-ml L-1 foliar spray and 5 ml L-1 soil application). The second factor is humic acid at three levels (0 and 5 g of seedlings - 1 foliar spray and 10 g of seedlings - 1 soil application). The results of the study show that the NPK nano-fertil