The childhood stage is considered the most important stage of all the stages through
the human being’s life. In this stage the human being will be more affected by the various
factors that surround him/her. The first five years of his/her life leave a great impact not only
on the human being personality, but also on his/her whole life. Therefore, it is worthwhile tobe concerned with and focus at the raising up and the teaching of the child during the
childhood stage.
The mission of raising up children in this era - the era of globalization and information
bursting or news flooding – has become a very difficult or even an impossible mission.
Furthermore, not only in the Arabic world, but also all over the world, this era has become a
depressing and a disappointing era to many serious parents and teachers, who seek the fact
and care about both their children’s benefit and the benefit of those who raise them up.
Children are seen to be more accepting to and more connecting with the building up of
civilization. The parent’s attentiveness and the level of their educational maturity will define
the level of family evolution and its role in affecting the child’s personality.
Eventually, all these matters go back to the shortage in the environmental attentiveness
and its relation to the health of the human beings. All these leads to the problem discussed in
this research which is the revealing of the attentiveness by the problem of technological media
poisoning of the children’s parents and their teachers.
The aim of this research is to be acquainted with:
The attentiveness of the technological media poisoning in the members of the sample.
The attentiveness of the technological media poisoning in the kindergarten teachers.
The differences in the attentiveness of the technological media poisoning.
between the kindergarten children’s parents and the children’s teacher.
This research is limited the children’s parents and teachers of the kindergartens in
Baghdad for the academic year 2012-2013.
In order to achieve the goal of this research, the researcher has performed a scale of the
attentiveness of the technological media poisoning according to the scientific steps in the
construction of the psychological scales.
To approve the truth of the scale to be introduced to a number of experts. After
straightening some of the scale items, (33) the of the scale has been approved.
Moreover, the researcher uses statistical analysis for the items by calculating the
distinctive power, which proves that all the items of the scale are distinctive and statistically
significant. The researcher tries to find out the relation between the degree of the item and the
total degree.
The validity of the scale has been approved by repeating the test. The validity factor is
(0.86), which proves that the validity factor is reliable. In the application of the Falkronbach
formula, it has been found that the validity factor is (0.93). This proves that the validity factor
is reliable.
The scale has been applied on (600) members of the sample, whichcontains randomly
chosen children’s parents and kindergarten teachers.
The result of the research are as follows:
All the members of the sample have attentiveness of the technological media poisoning.
The children’s parents have attentiveness of the technological media poisoning.
The kindergarten teachers have attentiveness of the technological media poisoning.
There are differences in attentiveness between all the members of the sample to the
benefit of the mothers side.
The researcher has introduced a number of recommendations and suggestions, which
are going to be discussed later.
Abstract
Characterized by the Ordinary Least Squares (OLS) on Maximum Likelihood for the greatest possible way that the exact moments are known , which means that it can be found, while the other method they are unknown, but approximations to their biases correct to 0(n-1) can be obtained by standard methods. In our research expressions for approximations to the biases of the ML estimators (the regression coefficients and scale parameter) for linear (type 1) Extreme Value Regression Model for Largest Values are presented by using the advanced approach depends on finding the first derivative, second and third.
Introduction: Cardiovascular diseases are the main cause of death among type 2 diabetic patients. Higher levels of plasminogen activator urokinase receptor have been found to predict morbidity and mortality across acute and chronic diseases in the common populace. This study aims to explore the role of serum plasminogen activator urokinase receptor levels as a cardiometabolic risk factor among type 2 diabetic Iraqi patients. Methods: Seventy type 2 diabetic patients (40 male and 30 female) (mean age: 46.20±7.56 years) participated in this study; 35 patients were with cardiovascular disease and 35 were without cardiovascular disease; their ages range was 40-55 years. In addition, 30 individuals who apparently healthy were selected a
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Objectives: Is to determine the morbidity and mortality in different age groups in patients with H1N1 influenza versus those patients with seasonal influenza who were admitted at the same time to AL-kindy
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A simple, economical and selective method employing ion pair dispersive liquid−liquid microextraction (DLLME) coupled with spectrophotometric determination of carbamazepine (CBZ) in pharmaceutical preparations and biological samples was developed. The method is based on reduction of Mo(VI) to Mo(V) using a combination of ammonium thiocyanate and ascorbic acid in acidic medium to form a red binary Mo(V) thiocyanate complex. After addition of CBZ to the complex, extraction of the formed CBZ−Mo(V)−(SCN)6 was performed using a mixture of methylene chloride and methanol. Then, the measurement of target complex was performed at the wavelength of 470 nm. The important extraction parameters affecting the efficiency of DLLME were studied and o
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The objective of this study is to apply Artificial Neural Network for heat transfer analysis of shell-and-tube heat exchangers widely used in power plants and refineries. Practical data was obtained by using industrial heat exchanger operating in power generation department of Dura refinery. The commonly used Back Propagation (BP) algorithm was used to train and test networks by divided the data to three samples (training, validation and testing data) to give more approach data with actual case. Inputs of the neural network include inlet water temperature, inlet air temperature and mass flow rate of air. Two outputs (exit water temperature to cooling tower and exit air temperature to second stage of air compressor) were taken in ANN.
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