importumt educational institution as (kindergartens) need teachers which qualified ownes modalities in their education for children , as Marzanu method in a way of learning and own methods of crisis management, because the teachers that own those styles of learning ginekindergarten children knowledge and the childrenIeaving based on theMeaing and knowledge and integration of their information, And teachers that earn methods of crisis management provide for the children of the kindergarten security within the educational institution which in turn affect the growth and development of the Child and then abilities, health physical, mental, psychological …etc.., The aims of the current research have identified to recognize: 1- the dimensions for Marzanuof learningfor kindergartenteachers according to the five dimensions (trends positive and perceptions toward learning, knowledge acquisition and its integration, deepening the knowledge and refined meaningful, use of the knowledge, habits ofproductive mind). 2-the methods of crisis management for kindergarten teachers according to the four methods (initial study of the dimensions of the crisis, the analytical study of the crises, scientific planning to deal with the crisis, the actual intervention to face the crisis). 3. The relationship between the dimensions of learning for Marzanumethods in crisis management for kindergartenteachers . The current research Is defined by : 1.the governmentkindergarten related to the six educationdirectordes in Baghdad city both side (Al Karakh and Al rosafa). 2. The teachers exited in a kindergarten in the city of Baghdad in the sixdirectorates of the education both (Al Karakh and Al rosafa). 3. The Academic Year (2015- 2016). In order to achieve the objectives of the search the sample of kindergarten teachers in the city of Baghdad is cosist of (400), the teacher to answer the gauge babysitting where they selected randomly simple way form (51)kindergarten distributed in six Education directorates, and to measure learning dimensions for Marzanuand its relationship to the methods of crisis management researcher sought to : building Measure mat (dimensions of Marzanulearning)according to five dimensions (trends positive and perceptions toward learning, knowledge acquisition integration, deepening the knowledge and refined meaningful, use the of knowledge, habits of mind) and building et methods of crisis management in product four methods are ( the initial study of the dimensions of the crisis, the analytical study of the crises, scientific planning to deal with the crisis, the actual intervention to face the crisis), These twomeasurementexperts a group of twenty two experts with scientific in kindergarten and measurement and evaluation and educational administration for the two measurement to demonstrate the validity of the paragraphs of the measurement and the researcher used two indicators of the truth, (the apparent Trueness and trueness of construction) whilemeasurement the stability standards of had extracted by researcher for each measurement of two types of stability the coefficient of stability the measurement of dimensions of MR learning in a re-testing is (0.79)andAlfa Cronbachmanner is (0.86) andstability of the measurement methods of crisis management in a manner re-testing (0,74)and the way Alfa Cronbach(0,84). In the measurement objectives of the current research after the application of the to the sample and analysis of their responses statistically using Ttest onesamples and Pearson correlation coefficient and the research conclue the following results: 1. The teachers of the kindergarten using the dimensions of the five learning in the MR model (that includes several educational theories in its model such as Piaget theory representation in harmonizing the Cooperative Learning based on problems OZBELtheory is on and use the reward and training and feedback. 2. All the teachers of the kindergarten this country the four methods of management of the crises in general way as a result of the circumstance of unstable security, which requires know all methods of management of crises within the kindergarten or outside it. 3. The teachers that use the dimensions of the five learning MR also have the methods of crisis management because of availability of analytical side of thought and knowledge related on that help the teachers to reinvent modern methods in the management of the crises that may bethe teachers exposed within the kindergarten or outside it. In light of these results, the researcher putsomeimportant andrecommendationssuggests
The current study aims at identifying the impact of using learning acceleration model on the achievement of mathematics for third intermediategrade students. Forachieving this, the researchers chose the School (Al-Kholood Secondary School for Girls) affiliated to the General Directorate of Babylon Education / Hashemite Education Department for the academic year (2021/2021), The sample reached to (70) female students from the third intermediate grade, with (35) female students for each of the two research groups. The two researchers prepared an achievement test consisting of (25) objective items of multiple choice type, The psychometric properties of the test were confirmed, and after the completion of the experiment, the achievement test wa
... Show MoreDetection of early clinical keratoconus (KCN) is a challenging task, even for expert clinicians. In this study, we propose a deep learning (DL) model to address this challenge. We first used Xception and InceptionResNetV2 DL architectures to extract features from three different corneal maps collected from 1371 eyes examined in an eye clinic in Egypt. We then fused features using Xception and InceptionResNetV2 to detect subclinical forms of KCN more accurately and robustly. We obtained an area under the receiver operating characteristic curves (AUC) of 0.99 and an accuracy range of 97–100% to distinguish normal eyes from eyes with subclinical and established KCN. We further validated the model based on an independent dataset with
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Solid waste is considered to be one of the rescuers of pollution in case of neglecting conditions and procedures relating to specific processes of laws, systems, and contracts requirements in addition to recommendations of organizations concerned with environment issue. The environments auditing groups of intosai have taking into account the environments control by various conference and recommended that the Board of supreme audit have and environments controlling taking into consideration auditing procedures on waste management ,and also offered on evidences for experiences of members of countries in order to exchange their knowledge's and experiments .the definition of solid waste and their resources ,risks ,man
... Show MoreBP algorithm is the most widely used supervised training algorithms for multi-layered feedforward neural net works. However, BP takes long time to converge and quite sensitive to the initial weights of a network. In this paper, a modified cuckoo search algorithm is used to get the optimal set of initial weights that will be used by BP algorithm. And changing the value of BP learning rate to improve the error convergence. The performance of the proposed hybrid algorithm is compared with the stan dard BP using simple data sets. The simulation result show that the proposed algorithm has improved the BP training in terms of quick convergence of the solution depending on the slope of the error graph.
Deep Learning Techniques For Skull Stripping of Brain MR Images
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One of the diseases on a global scale that causes the main reasons of death is lung cancer. It is considered one of the most lethal diseases in life. Early detection and diagnosis are essential for lung cancer and will provide effective therapy and achieve better outcomes for patients; in recent years, algorithms of Deep Learning have demonstrated crucial promise for their use in medical imaging analysis, especially in lung cancer identification. This paper includes a comparison between a number of different Deep Learning techniques-based models using Computed Tomograph image datasets with traditional Convolution Neural Networks and SequeezeNet models using X-ray data for the automated diagnosis of lung cancer. Although the simple details p
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This study aims to recognize the process of using computer in publicschools in Ma`an governorate in terms of hardware, capabilities, and teachers usage. It also aims to identify the most important obstacles those schools face from a teachers perspective.
The study sample consists of (150) teachers from different disciplines. The researcher prepared two questionnaires related to the research pivotal, then presented to a group of arbitrators to be used in this final form. The data was analyzed statistically and the study concluded that there is a shortage in the computer services provided to teachers, and there is a w
... Show MoreThis 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
... Show MoreBreast cancer is a heterogeneous disease characterized by molecular complexity. This research utilized three genetic expression profiles—gene expression, deoxyribonucleic acid (DNA) methylation, and micro ribonucleic acid (miRNA) expression—to deepen the understanding of breast cancer biology and contribute to the development of a reliable survival rate prediction model. During the preprocessing phase, principal component analysis (PCA) was applied to reduce the dimensionality of each dataset before computing consensus features across the three omics datasets. By integrating these datasets with the consensus features, the model's ability to uncover deep connections within the data was significantly improved. The proposed multimodal deep
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