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
Many academics have concentrated on applying machine learning to retrieve information from databases to enable researchers to perform better. A difficult issue in prediction models is the selection of practical strategies that yield satisfactory forecast accuracy. Traditional software testing techniques have been extended to testing machine learning systems; however, they are insufficient for the latter because of the diversity of problems that machine learning systems create. Hence, the proposed methodologies were used to predict flight prices. A variety of artificial intelligence algorithms are used to attain the required, such as Bayesian modeling techniques such as Stochastic Gradient Descent (SGD), Adaptive boosting (ADA), Decision Tre
... Show MoreMany academics have concentrated on applying machine learning to retrieve information from databases to enable researchers to perform better. A difficult issue in prediction models is the selection of practical strategies that yield satisfactory forecast accuracy. Traditional software testing techniques have been extended to testing machine learning systems; however, they are insufficient for the latter because of the diversity of problems that machine learning systems create. Hence, the proposed methodologies were used to predict flight prices. A variety of artificial intelligence algorithms are used to attain the required, such as Bayesian modeling techniques such as Stochastic Gradient Descent (SGD), Adaptive boosting (ADA), Deci
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Patients infected with the COVID-19 virus develop severe pneumonia, which typically results in death. Radiological data show that the disease involves interstitial lung involvement, lung opacities, bilateral ground-glass opacities, and patchy opacities. This study aimed to improve COVID-19 diagnosis via radiological chest X-ray (CXR) image analysis, making a substantial contribution to the development of a mobile application that efficiently identifies COVID-19, saving medical professionals time and resources. It also allows for timely preventative interventions by using more than 18000 CXR lung images and the MobileNetV2 convolutional neural network (CNN) architecture. The MobileNetV2 deep-learning model performances were evaluated
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Botnet detection develops a challenging problem in numerous fields such as order, cybersecurity, law, finance, healthcare, and so on. The botnet signifies the group of co-operated Internet connected devices controlled by cyber criminals for starting co-ordinated attacks and applying various malicious events. While the botnet is seamlessly dynamic with developing counter-measures projected by both network and host-based detection techniques, the convention techniques are failed to attain sufficient safety to botnet threats. Thus, machine learning approaches are established for detecting and classifying botnets for cybersecurity. This article presents a novel dragonfly algorithm with multi-class support vector machines enabled botnet
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Abstract:
The aim of the research is to evaluate the practice of banking departments for strategic foresight represented by its dimensions (environmental scanning, future vision, scenarios, reconfiguration) and its relationship to the organizational brilliance represented by dimensions (brilliance of leadership, brilliance of service and innovation, brilliance of knowledge, brilliance of employees), as the research was applied in A number of private Iraqi commercial banks represented by (Baghdad, Iraqi Investment, Iraqi Middle East Investment, Commercial Gulf, Ashur International Investment, Al Mansour Investment, Via Iraq Invest
... Show MoreThe research aims to determine the role of knowledge management to measure performance on a sample of faculties of Administration and Economics the University of Kufa, and to achieve this goal through a researcher from the theoretical literature and research and studies related to the construction of the scheme shows the hypothetical relationship between the variables, which was adopted by the independent variable knowledge management, distributed four variables are: (knowledge generation, knowledge storage, knowledge dissemination, the application of knowledge), as well as four variables representing the variables adopted for the performance of the university are:
(to reduce costs and increase profits, improve quality, scie
Water one of the most important sources Which is no doubt essential for life surviving, water is vital in many sectors of life e.g. ( agriculture, industrial, power and so many things can’t be restricted on the mentioned items, water has become major problem facing the world today. Competition over water resources between nations has made it as a vital commodity and a justification for waging wars against its neighbor’s countries, there are currently 263 rivers that either cross or demarcate international political boundaries. Geographically, Europe has the largest number of international basins (69), followed by Africa (59), Asia (57), North America (40), and South America (38).The absolute numbers of international basins, as well as t
... Show MoreThe general crisis of research methods in the social sciences
Research methodology: philosophy and techniques, founded by philosophers and applied by scientists, and no accurate application of techniques except with a deep understanding of philosophy, as a prerequisite. This fact is almost completely absent from the Iraqi and Arab academic mentality. This constituted one of the dimensions of the double crisis - theoretical and applied - of research methods in the social sciences. As first, there is no philosophy of science, neither as an independent material nor as an introductory subject, but not even an oral confirmation. Secondly, the advancement of quantitative research methods are presented without a background philosophy, as sol
Traffic classification is referred to as the task of categorizing traffic flows into application-aware classes such as chats, streaming, VoIP, etc. Most systems of network traffic identification are based on features. These features may be static signatures, port numbers, statistical characteristics, and so on. Current methods of data flow classification are effective, they still lack new inventive approaches to meet the needs of vital points such as real-time traffic classification, low power consumption, ), Central Processing Unit (CPU) utilization, etc. Our novel Fast Deep Packet Header Inspection (FDPHI) traffic classification proposal employs 1 Dimension Convolution Neural Network (1D-CNN) to automatically learn more representational c
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