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
BP 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.
Detection 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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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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Deep Learning Techniques For Skull Stripping of Brain MR Images
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The present study aimed to identify teaching problems which facing the teachers for first three grades classes, and if these problems different according to some variables teacher qualification, experience period, class grade). The study sample consist of (137 )
female teachers who teach the first three grades in Braimy city in Oman, teachers spread in five government schools. Both researchers developed questionnaire to measure problems faced by the mentioned teachers, consist of 50 questions distributed into 4 dimensions (teacher, students, the curriculum, the evaluations), Also researchers checked questionnaire validity and stability. The results indicate to: The most common probl
... Show MoreThe research aims at evaluating the illustrations images and determining the availability of good image standards in the illustrations images of the content of the second intermediate stage computer's book for the academic year (2019-2020) as seen by computer teachers. The sample was randomly selected, (30) teachers who are actually teaching the subject in schools within the geographical area of the province of Baghdad (Karkh III). To achieve this goal, ten standards were identified: scientific accuracy, suitability for the level of students, image clarity, image freshness, quality of coloring, suitability of its location of the subject, Matching their content glimpsed, The subject matter is appropriate in terms of area, matching its tit
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We can see the phenomena of small and medium-sized enterprises, by important and a new subject contemporary, thro related between important concept that develop and add. This research focused on the important concept of small and medium-sized enterprises, in public and privet sectors. small and medium-sized enterprises discrimination by large filer ratio in the especially at the first years when they started because of the limited managerial skills, financial recourses and marketing problems. On it they will creative new procedures. this research treatment the core issues about wakens local and international enterprises, so threat. the goals of this research are extended malty dimension concept o
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Continual learning on edge platforms remains challenging because recurrent networks depend on energy-intensive training procedures and frequent data movement that are impractical for embedded deployments. This work introduces M2RU, a mixed-signal architecture that implements the minion recurrent unit for efficient temporal processing with on-chip continual learning. The architecture integrates weighted-bit streaming, which enables multi-bit digital inputs to be processed in crossbars without high-resolution conversion, and an experience replay mechanism that stabilizes learning under domain shifts. M2RU achieves ∼13 GOPS at 16.76 mW, corresponding to 776 GOPS per watt, and maintains accuracy within 5 percent of software baselines on seque
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