The research included four chapters starting with the chapter dealing with the problem of child abuse which was one of the most important educational and social problems faced by children from their parents or family members. The most common forms of abuse are physical and psychological violence. The problem of school delays is also one of the most important educational and psychological issues that concern educators, which occur because of violence and neglect of the family. The study pointed out that domestic violence is one of the issues that has started to alarm both the global and local communities, because childhood is one of the most important stages of the human development system, which is healthy in terms of physical, mental, psychological and social development. And the importance of the effects of domestic violence on the imbalance in educational achievement and the occurrence of the problem of school delays for primary school children. The aim of the research is to identify: the nature of family violence, its prevailing patterns and its causes in society, and the extent of the relationship between domestic violence and school delays in children in primary school. As well as to make some suggestions and recommendations that can contribute to reducing the phenomenon of domestic violence and get rid of the problem of school delays. The research is determined by the children of the primary stage, because this stage of the process of establishing in the two processes (educational and learning). Violence, family, family violence, child, violence against children, school delays, and late studies are also defined. The second chapter dealt with the theoretical framework dealing with forms of violence against children, psychological disorders and personality disorder, the motives of domestic violence, and studies on domestic violence and its impact on school delays. The third chapter deals with the theories of violence, the basic hypotheses of social learning theory, the theories of growth and its stages, the factors affecting scholastic achievement, and the needs of Maslow and its relationship to helping the child achieve scholastic achievement. Chapter IV examined its findings by linking the results of previous studies with theories of violence and growth. It found that domestic violence does not depend on physical harm. Psychological violence is sometimes more disruptive, leading to delays in children Primary stage. It also addressed some of the recommendations
A hand gesture recognition system provides a robust and innovative solution to nonverbal communication through human–computer interaction. Deep learning models have excellent potential for usage in recognition applications. To overcome related issues, most previous studies have proposed new model architectures or have fine-tuned pre-trained models. Furthermore, these studies relied on one standard dataset for both training and testing. Thus, the accuracy of these studies is reasonable. Unlike these works, the current study investigates two deep learning models with intermediate layers to recognize static hand gesture images. Both models were tested on different datasets, adjusted to suit the dataset, and then trained under different m
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Under major developments in the field of business environment, the use of traditional budgets do not fit into these developments and adversely affect the future performance of the enterprises, which requires the transition to modern systems in the preparation of the budgets of activity based budgeting ABB because they provide a more accurate and objective estimates based on scientific foundations and practical avoided arising from the use of traditional budgeting problems, Where ABB is working better allocation of resources based on the activities of an enterprise and this positively affects the performance of the administration for the purpose of evaluating their performance according to responsibility centers and decision-making govern
... Show Moreتهدف الدراسة إلى معالجة مشكلة تداعيات الأزمة المالية العالمية على أداء الاستثمار الأجنبي المباشر لكل من تونس والجزائر، ومن خلال ما يفرضه النظام العالمي المعولم فانه من المؤكد أن الاستثمارات الأجنبية المباشرة لدول الدراسة ستتأثر سلبا بهذه الأزمة لكن بدراجات متفاوتة نظرا لخصوصية كل اقتصاد ودرجة ارتباطه بالاقتصاد العالمي . وقد خلصت الدراسة إلى أن الأزمة المالية العالمية غيرت خارطة توزيع الاستثمارات الأجنب
... Show Moreالخلاصة ر ة التبخي رة بطريق ة المحض الرقيق ZnSe درس تأثير التلدين الحراري في بعض الخواص التركيبية والبصرية لأغشية ود ة حي لال تقني ن خ اعتين م دة س 373,473 ) م )K راوح رارة تت درجات ح ة ب 550±20 ) والملدن ) nm مك راري بس الح ة الاشعة السينية درست الخواص التركيبية واظھرت بأن الاغشية تمتلك طبيعة بلورية (تركيب مكعب). وبعد اجراء المعامل واص ا ا
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Artificial pancreas is simulated to handle Type I diabetic patients under intensive care by automatically controlling the insulin infusion rate. A Backstepping technique is used to apply the effect of PID controller to blood glucose level since there is no direct relation between insulin infusion (the manipulated variable) and glucose level in Bergman’s system model subjected to an oral glucose tolerance test by applying a meal translated into a disturbance. Backstepping technique is usually recommended to stabilize and control the states of Bergman's class of nonlinear systems. The results showed a very satisfactory behavior of glucose deviation to a sudden rise represented by the meal that increase the blood glucose
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In multivariate survival analysis, estimating the multivariate distribution functions and then measuring the association between survival times are of great interest. Copula functions, such as Archimedean Copulas, are commonly used to estimate the unknown bivariate distributions based on known marginal functions. In this paper the feasibility of using the idea of local dependence to identify the most efficient copula model, which is used to construct a bivariate Weibull distribution for bivariate Survival times, among some Archimedean copulas is explored. Furthermore, to evaluate the efficiency of the proposed procedure, a simulation study is implemented. It is shown that this approach is useful for practical situations and applicable fo
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The primary objective of this paper is to improve a biometric authentication and classification model using the ear as a distinct part of the face since it is unchanged with time and unaffected by facial expressions. The proposed model is a new scenario for enhancing ear recognition accuracy via modifying the AdaBoost algorithm to optimize adaptive learning. To overcome the limitation of image illumination, occlusion, and problems of image registration, the Scale-invariant feature transform technique was used to extract features. Various consecutive phases were used to improve classification accuracy. These phases are image acquisition, preprocessing, filtering, smoothing, and feature extraction. To assess the proposed
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