The five-a- Side Soccer for people with a minor mental disability has become as important as many other sporting events. Therefore, the researcher considers that the basic skills tests are suited to the level of the tested individuals in terms of their age and mental ability. The technical aspects were adopted as a means of selecting from They are qualified to practice this game in the simplest form, so show the importance of the problem of research through the design and codification of two tests of handling skills belonging to this category and adopted by the training cadres during the selection process. The research community for people with minor mental disabilities determines the male category of the mental and social disability instit

Statistical learning theory serves as the foundational bedrock of Machine learning (ML), which in turn represents the backbone of artificial intelligence, ushering in innovative solutions for real-world challenges. Its origins can be linked to the point where statistics and the field of computing meet, evolving into a distinct scientific discipline. Machine learning can be distinguished by its fundamental branches, encompassing supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. Within this tapestry, supervised learning takes center stage, divided in two fundamental forms: classification and regression. Regression is tailored for continuous outcomes, while classification specializes in c

Development and progress of the fleet and the navy in Oman during
the reign of Sultan Said bin sultan from 1804 to 1856.
It had second level in Arab Gulf and Indian Ocean during the first half
of nineteenth century. The fleet of Oman in this time became after British
fleet.
Several reasons were behind the development of Omani fleet
- First : The aim of Sultan Said was to built a large navy yard in Arab Gulf
and Indian Ocean to encourage him -to made many ships factories.
- Second: Arab Gulf and Indian Ocean within the reign of Sultan Said
wittinsed the confilicts and wars between different forces it drived Sultan Said
to built agood and strong navy.
- Third The main aim of Oman during the reign of Sultan

Vatan ve hürriyet aşkının ilk ve en Kuvvetli örneklerinden Türkmen topraklarında yetişen yüzlerce Şairlerden biri Hıdır Lütfü’dür. Düşmana yar, öz evladına ağyar, yumuşak tabiatlı, yardımı ve milletini seven bir insandır. Şairin duygusu her dem yükseklere yücelirdi. O bilgili bir şair olduğu için şiirinde türlü türlü bilgi ile ögütleri arkasında bırakmamış onun duygusu bir bulak gibi her dem durmadan coşardı.
Onun en çok sevdiği varlıklar yurdu ile ulusuydı, ve tek acısı onların ilerleme ile yükselemesi içın bir haykırıydı.
Şair her zaman yurdunun ufukunda dolaşıp ulusunun bugünkü ve geleck torunları için yanıklı duyguları ile bir yol gosterıci gibi olmuştur.

Recent growth in transport and wireless communication technologies has aided the evolution of Intelligent Transportation Systems (ITS). The ITS is based on different types of transportation modes like road, rail, ocean and aviation. Vehicular ad hoc network (VANET) is a technology that considers moving vehicles as nodes in a network to create a wireless communication network. VANET has emerged as a resourceful approach to enhance the road safety. Road safety has become a critical issue in recent years. Emergency incidents such as accidents, heavy traffic and road damages are the main causes of the inefficiency of the traffic flow. These occurrences do not only create the congestion on the road but also increase the fuel consumption and p

המחקר הזה עוסק באחד מהסופרים העבריים שנחשבו בעלי־השפעה בתהליך הספרות העברית החדשה על אף גילו הקצר ועל אף שהוא השאיר עזבון ספרותי מועט, אך עם זה דמותו עולה לענינו גם מתוך כתביו המעטים כאילו הם טבועים בחותם, הסופר הזה הוא מרדכי זאב פיארברג.

            במחקר זה טיפלנו בחייו של המספר הזה בקיצור וגם ביצירותיו באופן כללי, ובסימנים המאפינים את גיבוריו, ובמיוחד גיבורו של הסיפור "

Early detection of brain tumors is critical for enhancing treatment options and extending patient survival. Magnetic resonance imaging (MRI) scanning gives more detailed information, such as greater contrast and clarity than any other scanning method. Manually dividing brain tumors from many MRI images collected in clinical practice for cancer diagnosis is a tough and time-consuming task. Tumors and MRI scans of the brain can be discovered using algorithms and machine learning technologies, making the process easier for doctors because MRI images can appear healthy when the person may have a tumor or be malignant. Recently, deep learning techniques based on deep convolutional neural networks have been used to analyze med

A new and hybrid deep learning-based approach for diagnosing faults in electric vehicle (EV) drive motors is proposed in this article. This article presents a new and hybrid deep learning-based method of diagnosing faults in the drive motors of electric vehicles (EV). In contrast to standard CNNLSTM approaches that depend on SoftMax classification, the introduced framework combines a Random Forest (RF) classifier to enhance the generalization, interpretability, and robustness of fault prediction. Furthermore meant for use on edge computing equipment with IoT integration, the design allows for real-time monitoring in resource-limited settings. The introduced algorithm utilizes a Random Forest (RF) classifier for accurate fault classification