Take the teacher's key position in the educational system as a foundation stone and primarily responsible for achieving the goals of Education , and efficient teacher conscious is the teacher who prepared educationally and specialized training well add to the enjoyment of a range of features that enable them to adjust and compatibility with educational developments
Hence the problem of the study questioning the Kindergarten Does teacher professional awareness that enable it to perform its work learned from experienceThe research sought to measure
1-Professional awareness among teacher Kindergarten
2-Professional awareness of Kindergarten parameters depending on the type of kindergarten.
Limited search parameters Riyadh government and private academic year ( 2013- 2014 )
In order to achieve the objectives of the research , the researcher built a standard professional awareness and enough mental according to the steps of scientific building psychometric After drafting paragraphs scale professional awareness and number (50) paragraph , it was ascertained the veracity of the scale -mediated presentation to a group of experts , has proven its validity after making some adjustments bringing the number of paragraphs (34) items , as well as a researcher statistical analysis of the vertebrae in with your strength discriminatory , and the researcher delete (8) paragraphs of scale professional awareness of the lack of distinguishable The rest of the paragraphs were found to be distinct and statistically significant , as well as the creation of a relationship degree paragraph primarily college, was sure of the stability of the scale in a way re-testing , with a reliability coefficient ( 0.83 ), and this shows that the reliability coefficient good . Increase the application of the equation of Alpha Kronbak , and found that the reliability coefficient equal to ( 0.89 ) and this shows good stability
Scales were applied to a sample numbered ( 300 ) parameter of the kindergarten teachers of government and private , were chosen the way of simple random , research has come to the following conclusions :
1-Enjoys kindergarten teachers in the city of Baghdad, a professional high- consciously.
2-There are no statistically significant differences between the Riyadh government and private variable in professional awareness.
Diabetes mellitus is a set of metabolic diseases, the most prevalent of which is chronic hyperglycemia. The culprits include insulin synthesis, insulin action, or both. Osteoporosis is a progressive systemic skeletal disorder defined by decreased bone mass and micro architectural degeneration of bone tissue, resulting in increased bone fragility and fracture risk, according to the World Health Organization (WHO). The degree of Nervosa damage determines how much a diabetic patient's body has been compromised. The current study's goal is an estimation: Age, BMI, FBS, HbA1C, D3, ALP, Ca, P, and Osteocalcin in Iraqi T2DM Women's patients with and without Osteoporosis. Three vitamins are required for Osteocalcin biosynthesis: vitamin K for Gla f
... Show MorePaul Auster's City of Glass is here singled out as representative of the writer's The New
York Trilogy. All throughout his novelistic career, Auster has been working on a pseudothesis
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space (mise en scène) where the perfect crime of the murder of the real is to be thoro
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Stone Matrix Asphalt (SMA) is a gap-graded asphalt concrete hot blend combining high-quality coarse aggregate with a rich asphalt cement content. This blend generates a stable paving combination with a powerful stone-on-stone skeleton that offers excellent durability and routing strength. The objectives of this work are: Studying the durability performance of stone matrix asphalt (SMA) mixture in terms of moisture damage and temperature susceptibility and Discovering the effect of stabilized additive (Fly Ash ) on the performance of stone matrix asphalt (SMA) mixture. In this investigation, the durability of stone matrix asphalt concrete was assessed in terms of temperature susceptibility, resistance to moisture damage, and sensitivity t
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Nanoparticles (NPs) have unique capabilities that make them an eye-opener opportunity for the upstream oil industry. Their nano-size allows them to flow within reservoir rocks without the fear of retention between micro-sized pores. Incorporating NPs with drilling and completion fluids has proved to be an effective additive that improves various properties such as mud rheology, filtration, thermal conductivity, and wellbore stability. However, the biodegradability of drilling fluid chemicals is becoming a global issue as the discharged wetted cuttings raise toxicity concerns and environmental hazards. Therefore, it is urged to utilize chemicals that tend to break down and susceptible to biodegradation. This research presents the pra
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In the current worldwide health crisis produced by coronavirus disease (COVID-19), researchers and medical specialists began looking for new ways to tackle the epidemic. According to recent studies, Machine Learning (ML) has been effectively deployed in the health sector. Medical imaging sources (radiography and computed tomography) have aided in the development of artificial intelligence(AI) strategies to tackle the coronavirus outbreak. As a result, a classical machine learning approach for coronavirus detection from Computerized Tomography (CT) images was developed. In this study, the convolutional neural network (CNN) model for feature extraction and support vector machine (SVM) for the classification of axial
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