The self-awareness interactions reflects with emotions,assess the child in respect to its relations with the social standards; they are not merely simply reactions , but rather they connect with his moral behavior and other 's thinks. When the self- awareness gets developed with emotions within the child , the latter become highly sensitive, causing him prone to be blamed . AS a result , the children test the self –awareness interactions with emotions and in age 3 years , where the self –awareness interactions with emotion clearly link to the self- assessment. The children in stage of kindergarten could not describe the self-awareness interactions accurately ; they test it under different circumstances in comparison to the youngest one. Based on the recommendations of emotionally child bringing up conference held in Cairo in 2007, it is necessitated to concern over the official and semi- official educational institutions that could have an emotion effect upon the child ; besides, the conference also confirmed to study the child emotionally and how to promote it for bringing up a new generation endowing with strong will and sincere ( Al-Hawarna- 2007). The study has indicated that the self-awareness with emotions and its integration with others have a relation to appear behavior problems within the children and having a big role on the psychological and social development for the children. The self-awareness with emotions has an important impact on the children for a success in life and for preserving the relations with the family and colleagues. If the children are not to be aware with their emotions , they will find difficulty in making decisions logically or to get integrated with others ; thus , they have an opportunity to response to the social attitudes to help others in correct ways and to avoid the decisions that lead to incorrect results( Elias and Weissber 2000). The two researchers have indicated that the child needs to learn some vocabularies indicating to emotions and feelings and reasons for such reasons and other alternatives in order for the child to have an opportunity to represent his emotions to be used in correct way. . ( Al-Shimari-2005) sees that the method of assistance represents as a means for social interaction having clear effect in the exchange between the individual and his family and between the individual and others ( Al-Shimari , 2005, 98). The current research aims to : Measure the self- awareness with emotions with the kindergarten children ( sample of the research males and females ) Measure the method of assistance within the kindergarten children ( sample of the research males and females ) Knowing the relationship between the self- awareness with emotion and integration with others among the kindergarten children. ( males and Females) For verifying goals of the research , the researcher has prepared three scales ( scale of self-awareness with emotion, scale of integration with others and scale of assistance ) . For ascertaining the reliability and consistence, the three scales have been applied on the sample 400 child who have been randomly chosen from 20 kindergartens . After processing the statistic data , the scales have been applied on the basic sample 600 child who have been randomly chosen . The researcher has reached to the following results: The sample of the research of females enjoys with self-awareness with emotion. The sample of the research of females enjoys with integration with others The research sample of females enjoys with the method of assistance.The integration with others is consistent relationship , the more the integration with others gets increased , the more the self-awareness with emotion increase. The more the method of assistance increases , the more self-awareness with emotion increases. The independent variables affect the method of assistance. In the light of the results , the researcher has submitted a set of recommendations and suggestions.
Data scarcity is a major challenge when training deep learning (DL) models. DL demands a large amount of data to achieve exceptional performance. Unfortunately, many applications have small or inadequate data to train DL frameworks. Usually, manual labeling is needed to provide labeled data, which typically involves human annotators with a vast background of knowledge. This annotation process is costly, time-consuming, and error-prone. Usually, every DL framework is fed by a significant amount of labeled data to automatically learn representations. Ultimately, a larger amount of data would generate a better DL model and its performance is also application dependent. This issue is the main barrier for
A Ligand (ECA) methyl 2-((1-cyano-2-ethoxy-2-oxoethyl)diazenyl)benzoate with metals of (Co2+, Ni2+, Cu2+) were prepared and characterization using H-NMR, atomic absorption spectroscopy, ultra violet (UV) visible, magnetic moments measurements, bioactivity, and Molar conductivity measurements in soluble ethanol. Complexes have been prepared using a general formula which was suggested as [M (ECA)2] Cl2, where M = (Cobalt(II), Nickel(II) and Copper(II), the geometry shape of the complexes is octahedral.
This research aims to removes dyes from waste water by adsorption using banana peels. The conduct experiment done by banana powder and banana gel to compare between them and find out which one is the most efficient in adsorption. Studying the effects different factors on adsorption material and calculate the best removal efficiency to get rid of the methylene blue dye (MB).
Introduction: Cutaneous leishmaniasis (CL) is a common protozoan disease in Iraq characterized by localized ulcers, primarily on exposed skin. This study aimed to investigate the hematological parameters of infected patients using a complete blood count (CBC) in the endemic area of Diyala Governorate, northeast of Baghdad. This has been studied in newly diagnosed, untreated individuals and patients receiving sodium antimony gluconate. Methodology: Hematological screening was performed on blood samples from 161 patients with microscopically diagnosed cutaneous leishmaniasis before and after treatment. Anti-Leishmania IgG was also assessed by ELISA in seropositive and seronegative subjects. Results: The newly diagnosed, untreated pati
... Show MoreProgression in Computer networks and emerging of new technologies in this field helps to find out new protocols and frameworks that provides new computer network-based services. E-government services, a modernized version of conventional government, are created through the steady evolution of technology in addition to the growing need of societies for numerous services. Government services are deeply related to citizens’ daily lives; therefore, it is important to evolve with technological developments—it is necessary to move from the traditional methods of managing government work to cutting-edge technical approaches that improve the effectiveness of government systems for providing services to citizens. Blockchain technology is amon
... Show MoreFeature selection (FS) constitutes a series of processes used to decide which relevant features/attributes to include and which irrelevant features to exclude for predictive modeling. It is a crucial task that aids machine learning classifiers in reducing error rates, computation time, overfitting, and improving classification accuracy. It has demonstrated its efficacy in myriads of domains, ranging from its use for text classification (TC), text mining, and image recognition. While there are many traditional FS methods, recent research efforts have been devoted to applying metaheuristic algorithms as FS techniques for the TC task. However, there are few literature reviews concerning TC. Therefore, a comprehensive overview was systematicall
... Show MoreGenome sequencing has significantly improved the understanding of HIV and AIDS through accurate data on viral transmission, evolution and anti-therapeutic processes. Deep learning algorithms, like the Fined-Tuned Gradient Descent Fused Multi-Kernal Convolutional Neural Network (FGD-MCNN), can predict strain behaviour and evaluate complex patterns. Using genotypic-phenotypic data obtained from the Stanford University HIV Drug Resistance Database, the FGD-MCNN created three files covering various antiretroviral medications for HIV predictions and drug resistance. These files include PIs, NRTIs and NNRTIs. FGD-MCNNs classify genetic sequences as vulnerable or resistant to antiretroviral drugs by analyzing chromosomal information and id
... Show MoreThis article showcases the development and utilization of a side-polished fiber optic sensor that can identify altered refractive index levels within a glucose solution through the investigation of the surface Plasmon resonance (SPR) effect. The aim was to enhance efficiency by means of the placement of a 50 nm-thick layer of gold at the D-shape fiber sensing area. The detector was fabricated by utilizing a silica optical fiber (SOF), which underwent a cladding stripping process that resulted in three distinct lengths, followed by a polishing method to remove a portion of the fiber diameter and produce a cross-sectional D-shape. During experimentation with glucose solution, the side-polished fiber optic sensor revealed an adept detection
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