Rationale, aims and objectives: A review of studies published over the last six years gives update about this hot topic. In the middle of COVID-19 pandemic, this study findings can help understand how population may perceive vaccinations. The objectives of this study were to review the literature covering the perceptions about influenza vaccines and to determine factors influencing the acceptance of vaccination using Health Belief Model (HBM). Methods: A comprehensive literature search was performed utilizing PubMed and Google Scholar databases. Three keywords were used: Influenza vaccine, perceptions, and Middle East. Empirical studies that dealt with people/ HCW perceptions of influenza vaccine in the Middle East and writt

In this paper, an algorithm is suggested to train a single layer feedforward neural network to function as a heteroassociative memory. This algorithm enhances the ability of the memory to recall the stored patterns when partially described noisy inputs patterns are presented. The algorithm relies on adapting the standard delta rule by introducing new terms, first order term and second order term to it. Results show that the heteroassociative neural network trained with this algorithm perfectly recalls the desired stored pattern when 1.6% and 3.2% special partially described noisy inputs patterns are presented.

The method of predicting the electricity load of a home using deep learning techniques is called intelligent home load prediction based on deep convolutional neural networks. This method uses convolutional neural networks to analyze data from various sources such as weather, time of day, and other factors to accurately predict the electricity load of a home. The purpose of this method is to help optimize energy usage and reduce energy costs. The article proposes a deep learning-based approach for nonpermanent residential electrical ener-gy load forecasting that employs temporal convolutional networks (TCN) to model historic load collection with timeseries traits and to study notably dynamic patterns of variants amongst attribute par

This study aimed to examine the effects of electronic training to improve the skills of designing electronic courses for teachers of Arabic language in the colleges of education in Iraq. The descriptive approach is applied and the sample included 145 teachers of Arabic who were selected randomly from the colleges of education in Iraq. Moreover, the results reflected that e-training is effective in improving the skills related to designing online educational courses for teachers of Arabic in the colleges of education in Iraq. Besides, there was no difference between the mean of the respondents' responses to the total score of the tool on the role of electronic training to develop the skills related to electronic courses designing for teacher

قد يشعر الطلبة و الاساتذة بالملل و الروتين وقلة الاهتمام بما يقومون به  مما يؤدي تدني الفاعلية الذاتية وتدني احترام الذات و تدني الافكار المسبقة عن الاداء و توقع النجاح في المهمات و هذا الشعور يؤدي الى تدني امكانية تطوير فاعلية ذاتية في اداء التدريسين و في المذاكرة و التحصيل لدى الطلبة , و بما ان طلبة الجامعة هم فئة مهمة في المجتمع تقع عليهم مسؤولية قيادة معظم مفاصل المجتمع و ميادينه و يمثلون طاقة انتاجية ب

The old ways of education has not been able to achieve the ultimate goal in the development of the child's personality and prepared for public life , so shall educators to adopt modern methods of learning such as cooperative learning , which takes into account the considerations psychology of children and their level of mental , as the collective learning is important for children mighty and vulnerable children and so by placing the child in front of something significant tangible and choose topics of relevance to the concerns of the child himself . ( Maroni , 2008 : 101-102 ) . Consisted importance of research of the most important goals of community child care and upbringing proper education to create him a good citizen intact,