The present study aimed to measure the calendar estimates for my book Physics of the preparatory phase (fourth and fifth preparatory) has been a research sample consisted of 32 teachers and a school for 36 schools from both sides of the Rusafa and Karkh first To achieve the objectives Find promised researcher tool for measuring the calendar estimates for my book Physics of the preparatory phase in accordance with the contemporary scientific innovations as formed tool from 5 innovations built on the basis of which the paragraphs which formed the final version of the 21 paragraph manual are not substitutes to answer yes -No Your has been used Baha percentages to reach the results may reach current research conclusion which is defic

The calamities, calamities, problems and constant dilemmas that society is experiencing have made it the responsibility of professors and researchers to find appropriate and effective solutions to these issues, and among those calamities that our societies faced was the problem of the epidemic represented by (Corona-Covid-19)

The study aims at knowing the relationship between retirement problems and psychological flexibility, besides identifying the difference of retirement problems and psychological flexibility due to the wok place variable and sex variable.

The study sample consists of 250 registered retirees in both associations of the government and the UNRWA. The researcher had prepared and used a retirement problems scale and  a psychological flexibility scale. The study findings show the following:

1. The economic problems were greatly common by a relative weight of 76.3 %.
2. The psychological compatibility was the most widespread domain in the psychological fl

Many academics have concentrated on applying machine learning to retrieve information from databases to enable researchers to perform better. A difficult issue in prediction models is the selection of practical strategies that yield satisfactory forecast accuracy. Traditional software testing techniques have been extended to testing machine learning systems; however, they are insufficient for the latter because of the diversity of problems that machine learning systems create. Hence, the proposed methodologies were used to predict flight prices. A variety of artificial intelligence algorithms are used to attain the required, such as Bayesian modeling techniques such as Stochastic Gradient Descent (SGD), Adaptive boosting (ADA), Decision Tre

Diabetic retinopathy is an eye disease in diabetic patients due to damage to the small blood vessels in the retina due to high and low blood sugar levels. Accurate detection and classification of Diabetic Retinopathy is an important task in computer-aided diagnosis, especially when planning for diabetic retinopathy surgery. Therefore, this study aims to design an automated model based on deep learning, which helps ophthalmologists detect and classify diabetic retinopathy severity through fundus images. In this work, a deep convolutional neural network (CNN) with transfer learning and fine tunes has been proposed by using pre-trained networks known as Residual Network-50 (ResNet-50). The overall framework of the proposed