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Professional awareness among Riyadh teachers government and private (Comparative Study)
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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.

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Publication Date
Sat Jan 01 2022
Journal Name
Ieee Access
Hand Gesture Recognition With Acoustic Myography and Wavelet Scattering Transform
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Publication Date
Fri Jan 01 2021
Journal Name
Indonesian Journal Of Electrical Engineering And Computer Science
Stamps extraction using local adaptive k- means and ISODATA algorithms
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<span>One of the main difficulties facing the certified documents documentary archiving system is checking the stamps system, but, that stamps may be contains complex background and surrounded by unwanted data. Therefore, the main objective of this paper is to isolate background and to remove noise that may be surrounded stamp. Our proposed method comprises of four phases, firstly, we apply k-means algorithm for clustering stamp image into a number of clusters and merged them using ISODATA algorithm. Secondly, we compute mean and standard deviation for each remaining cluster to isolate background cluster from stamp cluster. Thirdly, a region growing algorithm is applied to segment the image and then choosing the connected regi

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Publication Date
Sun Nov 02 2014
Journal Name
Autophagy
Autophagy in osteoblasts is involved in mineralization and bone homeostasis
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Publication Date
Fri Jul 14 2023
Journal Name
Aip Conference Proceedings
Seismic impact on makhool earthdam in flood and drought seasons
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Publication Date
Tue Jun 11 2019
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Preparation and Characterization of Etodolac as a Topical Nanosponges Hydrogel
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Nanosponges (NS) of etodolac(ETO) was prepared using the emulsion solvent diffusion method ; the effects of drug: polymer ratio, the effect of level concentration of internal phase and stirring time and other variables that effect on the physical characteristics of NS were investigated and characterized, The selected formula was lyophilized then incorporated into hydrogel ; which also evaluated .The results show that the formulation that contain Drug: PVA:EC in ratio 1:3:2 is the best with smallest particle size 40.2±0.098 with polydispersibility0.005 and in vitro release 97.6±0.11%, , ETO NS Carbopol hydrogel produced a significant(p<0.05) improvement of the in vitro release than pure ETO hydrogel.

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Publication Date
Wed Nov 27 2019
Journal Name
Iraqi Journal Of Science
Bit Plane Slicing, Wavelet and Polynomials Mixing for Image Compression
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     This paper introduced a hybrid technique for lossless image compression of natural and medical images; it is based on integrating the bit plane slicing and Wavelet transform along with a mixed polynomial of linear and non linear base. The experiments showed high compression performance with fully grunted reconstruction.

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Publication Date
Mon Jan 30 2023
Journal Name
Iraqi Journal Of Science
On Soft Somewhere Dense Open Functions and Soft Baire Spaces
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    The paper starts with the main properties of the class of soft somewhere dense open functions and follows their connections with other types of soft open functions. Then preimages of soft sets with Baire property and images of soft Baire spaces under certain classes of soft functions are discussed. Some examples are presented that support the obtained results. Further properties of somewhere dense open functions related to different types of soft functions are found under some soft topological properties.

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Publication Date
Tue Dec 28 2021
Journal Name
2021 2nd Information Technology To Enhance E-learning And Other Application (it-ela)
Pedestrian and Objects Detection by Using Learning Complexity-Aware Cascades
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Publication Date
Tue Jun 23 2020
Journal Name
Baghdad Science Journal
Anomaly Detection Approach Based on Deep Neural Network and Dropout
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   Regarding to the computer system security, the intrusion detection systems are fundamental components for discriminating attacks at the early stage. They monitor and analyze network traffics, looking for abnormal behaviors or attack signatures to detect intrusions in early time. However, many challenges arise while developing flexible and efficient network intrusion detection system (NIDS) for unforeseen attacks with high detection rate. In this paper, deep neural network (DNN) approach was proposed for anomaly detection NIDS. Dropout is the regularized technique used with DNN model to reduce the overfitting. The experimental results applied on NSL_KDD dataset. SoftMax output layer has been used with cross entropy loss funct

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Publication Date
Tue Aug 30 2022
Journal Name
Pakistan Journal Of Medical & Health Sciences
Association between Digital Addiction and Sleep Habits for Preschool Children
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