Praise be to God, prayer and peace upon our master Muhammad the Messenger of Allah peace be upon him mercy, gift, and grace, and rendered his family and the good righteous is followed until the Day of Judgment. After: The Koran

По мнению ученых, исследующих современные деривационные процессы, „начиная со второй половины XX в., активизируются новые социолингвистические и коммуникативные факторы”, определяющие специфику современного словотворчества в ряде типологически близких славянских языков [Нещименко 2010: 39]. В результате возросшего влияния масс-медиа на коллективное сознание носителей языка, на существующий вербальный

המחקר מתייחס לתופעת ההקטנה משני ענפים את הסימנטיקה והמורפופונולוגיה בשפה העברית, ומנסה ליגלוי את המשמעות בתוך ההקשר של צורות ההקטנה לדוגמאות מן התורה טקסטים מחדשות, שירה וסיפורים, הרי שחלק מהמשמעויות של מבנה הפלט עומדות בניגוד למשמעויות הבסיס או הדרגה במשמעות, כך מביעות על (הקטנה, חיבה, או זלזול) שרובן לא התקיימו בעברית הקלאסית, מצד אחר המחקר בדק במבנים המורפולוגיים במייוחד (המשקלים של צורת ההקטנה) ומבחין את

This paper deals with the restrictive/nonrestrictive relative clauses in German and Arabic. I will, first of all, be concerned with some theories that have been provided to define the restrictive and the nonrestrictive relative clauses, particularly with the phonetic hypothesis. It will be, then, shown that the phonetic aspect is unable to give clear answers in this respect. The best way to determine restrictivity in both languages is, I think, by implementing of semantic indicators.

התמצית השניות היא התורה שנזכרת כי המוצאים בלשון הערבית וכך בלשונות השמיות אינם הבטויים בעלי האותיות השלושיות , אלא בעלי שתי אותיות . לפי כך אפשר להשיב השורשים השלושיים לשורשים השניים . וכל אות שנאספה בשורש שׁניוני, יהיה לפי חוק ההתפתחות הלשונית , הוספות תחילית , תוכית , סופית , עם השארת החיבור המשמעתית בין השׁניוני והשׁלשׁי כמו היא ממושכת בין השׁלשׁי והרביעי ומה שרבה ההוספות . השרשים השניים מוצאים הם: אות וה

Background: The efficacy of educational strategies is crucial for nursing students to competently perform pediatric procedures like nasogastric tube insertion. Specific Background: This study evaluates the effectiveness of simulation, blended, and self-directed learning strategies in enhancing these skills among nursing students. Knowledge Gap: Previous research lacks a comprehensive comparison of these strategies' impacts on skill development in pediatric nursing contexts. Aims: The study aims to assess the effectiveness of different educational strategies on nursing students' ability to perform pediatric nasogastric tube insertions. Methods: A pre-experimental design was employed at the College of Nursing, University of Baghdad, i

Gender classification is a critical task in computer vision. This task holds substantial importance in various domains, including surveillance, marketing, and human-computer interaction. In this work, the face gender classification model proposed consists of three main phases: the first phase involves applying the Viola-Jones algorithm to detect facial images, which includes four steps: 1) Haar-like features, 2) Integral Image, 3) Adaboost Learning, and 4) Cascade Classifier. In the second phase, four pre-processing operations are employed, namely cropping, resizing, converting the image from(RGB) Color Space to (LAB) color space, and enhancing the images using (HE, CLAHE). The final phase involves utilizing Transfer lea

Estimating an individual's age from a photograph of their face is critical in many applications, including intelligence and defense, border security and human-machine interaction, as well as soft biometric recognition. There has been recent progress in this discipline that focuses on the idea of deep learning. These solutions need the creation and training of deep neural networks for the sole purpose of resolving this issue. In addition, pre-trained deep neural networks are utilized in the research process for the purpose of facial recognition and fine-tuning for accurate outcomes. The purpose of this study was to offer a method for estimating human ages from the frontal view of the face in a manner that is as accurate as possible and takes

Monaural source separation is a challenging issue due to the fact that there is only a single channel available; however, there is an unlimited range of possible solutions. In this paper, a monaural source separation model based hybrid deep learning model, which consists of convolution neural network (CNN), dense neural network (DNN) and recurrent neural network (RNN), will be presented. A trial and error method will be used to optimize the number of layers in the proposed model. Moreover, the effects of the learning rate, optimization algorithms, and the number of epochs on the separation performance will be explored. Our model was evaluated using the MIR-1K dataset for singing voice separation. Moreover, the proposed approach achi