Parental socialization trends impacting seriously on the growth of individual
personality and psychological health trends ,love, acceptance and on confidence help
children to grow as a person who loves other accept others and trust and negative parental
attitudes such as excess portents us or negligence . and the focusing and demonstrate a
negative impact on the growth of excess an mental health and family play a significant role in
a childes life we can see how many manifestation of compatibility or incompatibility thatappear on individual behaviors and achieve their success or failure in life be returned to the
of human relations that prevailed between the family members of children in various stages of
his life first and to methods of treatment parents faced in his life .So the researcher has
developed the following goals :
1- Measurement method of excess indulgence towards kindergarten.
2- Identify the differences in the level of style excess indulgence towards kindergarten
according to a variable:
A-gender (male – female)
B-stage (pre – kindergarten)
3-Measure the social harmony in kindergarten .
4-Identify the differences in the social harmony depending on the variable :
A-gender (male – female)
B-stage (pre –kindergarten)
5- Identify the link between relationship style of pampered excess for parents and social
harmony for kindergarten the research sample consisted of (400) children from children in
Riyauh Baghdad \ Rusafah second the paragraphs were prepared to demonstrate scale
overloud be (18) . the preparation of the scale of the unanimous harmony and paragraphs be
of (22) and after using statistical methods , the following :
1- the first objective findings indicate that parents of well . Travelled pampering method
overload with their children , and the overage grades of the scale ( 61.07)
2-Notes the outcome of the second objective :
A-the absence of significant difference in the degree of use of excessive indulgence
method parents towards their children depending on gender section .
B-the results suggest on statistically significant use of excessive indulgence method parents
towards their children depending on the type of stage the calculated value of T (0.47),is
smaller than the T-value
3-the third objective result indicate that kindergartens are in compatible socially .
4-the results of the fourth objective :
A-this result shows that male lesser female looking either.
B-indicate that the kindergarten (pre – kindergarten) they match the degree of lock of
social consensus .
5-the latter objective result indicate existence of correlation between then the more the style
of pampered excess by parents toward children worsened.
The paper presents a highly accurate power flow solution, reducing the possibility of ending at local minima, by using Real-Coded Genetic Algorithm (RCGA) with system reduction and restoration. The proposed method (RCGA) is modified to reduce the total computing time by reducing the system in size to that of the generator buses, which, for any realistic system, will be smaller in number, and the load buses are eliminated. Then solving the power flow problem for the generator buses only by real-coded GA to calculate the voltage phase angles, whereas the voltage magnitudes are specified resulted in reduced computation time for the solution. Then the system is restored by calculating the voltages of the load buses in terms
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An optical spectroscopic study is reported in this article to study the correlation between the supermassive black hole (SMBH) and the star formation rate (SFR) for a sample of Seyfert galaxies type (I and II). The study focused on 45 galaxy of Seyfert 1, in addition to 45 galaxy of Seyfert 2, where these samples have been selected form different survey of Salon Digital Sky Survey (SDSS). The redshift (z) of these objects were between (0.02 – 0.26). The results of Seyfert 1 galaxies shows that there good correlation between the SMBH and the SFR depending on statistical analysis parameter named Spearman’s Rank Correlation in a factor of (ρ=0.609), as well as the Seyfert 2 galaxies results show a good correlation between the SMBH and
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Empirical and statistical methodologies have been established to acquire accurate permeability identification and reservoir characterization, based on the rock type and reservoir performance. The identification of rock facies is usually done by either using core analysis to visually interpret lithofacies or indirectly based on well-log data. The use of well-log data for traditional facies prediction is characterized by uncertainties and can be time-consuming, particularly when working with large datasets. Thus, Machine Learning can be used to predict patterns more efficiently when applied to large data. Taking into account the electrofacies distribution, this work was conducted to predict permeability for the four wells, FH1, FH2, F
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Advanced strategies for production forecasting, operational optimization, and decision-making enhancement have been employed through reservoir management and machine learning (ML) techniques. A hybrid model is established to predict future gas output in a gas reservoir through historical production data, including reservoir pressure, cumulative gas production, and cumulative water production for 67 months. The procedure starts with data preprocessing and applies seasonal exponential smoothing (SES) to capture seasonality and trends in production data, while an Artificial Neural Network (ANN) captures complicated spatiotemporal connections. The history replication in the models is quantified for accuracy through metric keys such as m
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This study was conducted on a sample of commercial banks in Iraq, chosen according number of considerations for twenty banks, contained two public banks and eighteen private banks. &
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