تهدف الدراسة إلى استعراض ظهور كراسي اليونسكو في الجامعات العراقية والأنشطة التي تم تنفيذها لتحقيق أهداف التنمية المستدامة، حيث تم إنشاء كل كرسي لتحقيق أحد هذه الأهداف التي تركت أثرها على بعض القطاعات التعليمية والاجتماعية ، وبالتالي تنبع أهمية الدراسة من الحاجة إلى الإشارة إلى إنشاء كراسي اليونسكو في الجامعات العراقية والأنشطة التي عززت إنشائها ونشاطها ومبادراتها المحلية والدولية, وكذلك تحديد ما حقق

Solar energy has significant advantages compared to conventional sources such as coal and natural gas, including no emissions, no need for fuel, and the potential for installation in a wide range of locations with access to sunlight. In this investigation, heterocyclic derivatives were synthesized from several porphyrin derivatives (4,4',4",4"'-(porphyrin-5,10,15,20-tetrayl) tetra benzoic acid) compound (3), obtained by reaction Pyrrole with 4-formyl benzoic acid. Subsequently, porphyrin derivative-component amides 5a, 5b, and 5c were produced by reacting compound (3) with amine derivatives at a 1:4 molar ratio. These derivatives exhibited varying sensitivities for utilization in solar cells, with compound 5a displaying the highest power

Background: Infection with sexually
transmitted diseases is broad and includes
bacterial, viral and protozoa infection.
Large number of infected people goes
untreated because of symptomatic or
unrecognized infections.
Patients and methods: Forty five
patients was complaining from infertility
(primary or secondary), consulting
Kammal El-Sammari Hospital for
infertility from May - 2008 to February -
2009. Control group consisted of twenty
fertile women that consulting private clinic
for checking. Four swabs were taken from
each woman in two groups. Two swabs
were taken from posterior fornix of the
vagina (High vaginal swab) and the last
two were taken from endocervical canal.
First swab

Abstract

That Iraq's dependence on the revenues of the oil product in financing its development programs and growth rates , Making the economy affected by external forces represented by fluctuations in crude oil prices in the global market, Which is directly reflected on the performance and efficiency of the Iraqi economy.

The study adopted its objectives to analyze the time series for the period (1988 - 2015) through the use of standard and statistical methods, Four standard models were estimated to reach those targets, Where the results of the stability test showed instability of most variables at their original level, But to achieve stability when taking the first differences, While the result

This study aimed to identify attitudes towards mental illness in pregnant female clients to clinics women in the province of Ramallah and Al Bireh, for this purpose applied to study procedures on a sample of (200) of pregnant mothers were selected a sample available, have reached results no statistically significant differences in the level of attitudes towards mental illness due to the variable age in mothers pregnant female clients to clinics for women. Ther were astatistically significant differences in the level of these trends depending on the variable-level scientific research for the benefit of pregnant class university students and older and then high school and so on all areas except the area of social interaction, The results a

Image classification is the process of finding common features in images from various classes and applying them to categorize and label them. The main problem of the image classification process is the abundance of images, the high complexity of the data, and the shortage of labeled data, presenting the key obstacles in image classification. The cornerstone of image classification is evaluating the convolutional features retrieved from deep learning models and training them with machine learning classifiers. This study proposes a new approach of “hybrid learning” by combining deep learning with machine learning for image classification based on convolutional feature extraction using the VGG-16 deep learning model and seven class

Image classification is the process of finding common features in images from various classes and applying them to categorize and label them. The main problem of the image classification process is the abundance of images, the high complexity of the data, and the shortage of labeled data, presenting the key obstacles in image classification. The cornerstone of image classification is evaluating the convolutional features retrieved from deep learning models and training them with machine learning classifiers. This study proposes a new approach of “hybrid learning” by combining deep learning with machine learning for image classification based on convolutional feature extraction using the VGG-16 deep learning model and seven class