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 problem of the research is indicated by answering the following questions: 1) what are the attitudes of the Arabic language teachers towards homework?
2) Do the Arabic language teachers differ in their attitudes towards homework according to their specialization? 3) Do the Arabic language teachers differ in their attitudes towards homework according to their gender (male and female)? According to the three questions asked above, we may state the following hypotheses. There is no statistically significant difference between the average of the marks of Arabic language teachers in the real practice of the scale of the attitudes towards their homework and their average in the hypothetical practice of the
... Show MoreNitrogen (N) fertilizer rate is important for high yield and good quality of potato tubers. In this dissertation, I seek to study the response of different potato cultivars under different N fertilizer rates and how that can impact tuber quality, examine the performance of active optical sensors in improving a potato yield prediction algorithm, and evaluate the ability of active optical sensors (GreenSeeker (GS) and Crop Circle (CC)) to optimize a N recommendation algorithm that can be used by potato growers in Maine. This research was conducted at 11 sites over a period of two years (2018–2019) in Aroostook County, Maine; all sites depended on a rainfed system. Three potato cultivars, Russet Burbank, Superior, and Shepody, were planted u
... Show MoreA genetic algorithm model coupled with artificial neural network model was developed to find the optimal values of upstream, downstream cutoff lengths, length of floor and length of downstream protection required for a hydraulic structure. These were obtained for a given maximum difference head, depth of impervious layer and degree of anisotropy. The objective function to be minimized was the cost function with relative cost coefficients for the different dimensions obtained. Constraints used were those that satisfy a factor of safety of 2 against uplift pressure failure and 3 against piping failure.
Different cases reaching 1200 were modeled and analyzed using geo-studio modeling, with different values of input variables. The soil wa
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Decision-makers in each country work to define a list of internal and external interests, goals and threats to their countries according to the nature of their awareness of these interests, goals and threats.
Hence, Iraq is not an exception to this rule, and the process of evaluating its interests and the objectives of its foreign policy is subject to the pattern of awareness of decision-makers and the influencing forces in defining its basic interests, which often witness some kind of difference in defining them, evaluating their importance and determining the size of the threats they face. And among these interests and threats that have witnessed a difference in the assessment of their
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KE Sharquie, RA Najim, RK Al-Hayani, AA Al-Nuaimy, DM Maroof, Saudi medical journal, 2008 - Cited by 74
The rise of Industry 4.0 and smart manufacturing has highlighted the importance of utilizing intelligent manufacturing techniques, tools, and methods, including predictive maintenance. This feature allows for the early identification of potential issues with machinery, preventing them from reaching critical stages. This paper proposes an intelligent predictive maintenance system for industrial equipment monitoring. The system integrates Industrial IoT, MQTT messaging and machine learning algorithms. Vibration, current and temperature sensors collect real-time data from electrical motors which is analyzed using five ML models to detect anomalies and predict failures, enabling proactive maintenance. The MQTT protocol is used for efficient com
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Monaural source separation is a challenging issue due to the fact that there is only a single channel available; however, there is an unlimited range of possible solutions. In this paper, a monaural source separation model based hybrid deep learning model, which consists of convolution neural network (CNN), dense neural network (DNN) and recurrent neural network (RNN), will be presented. A trial and error method will be used to optimize the number of layers in the proposed model. Moreover, the effects of the learning rate, optimization algorithms, and the number of epochs on the separation performance will be explored. Our model was evaluated using the MIR-1K dataset for singing voice separation. Moreover, the proposed approach achi
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It takes a lot of time to classify the banana slices by sweetness level using traditional methods. By assessing the quality of fruits more focus is placed on its sweetness as well as the color since they affect the taste. The reason for sorting banana slices by their sweetness is to estimate the ripeness of bananas using the sweetness and color values of the slices. This classifying system assists in establishing the degree of ripeness of bananas needed for processing and consumption. The purpose of this article is to compare the efficiency of the SVM-linear, SVM-polynomial, and LDA classification of the sweetness of banana slices by their LRV level. The result of the experiment showed that the highest accuracy of 96.66% was achieved by the
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