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.
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<span lang="EN-US">The need for robotics systems has become an urgent necessity in various fields, especially in video surveillance and live broadcasting systems. The main goal of this work is to design and implement a rover robotic monitoring system based on raspberry pi 4 model B to control this overall system and display a live video by using a webcam (USB camera) as well as using you only look once algorithm-version five (YOLOv5) to detect, recognize and display objects in real-time. This deep learning algorithm is highly accurate and fast and is implemented by Python, OpenCV, PyTorch codes and the Context Object Detection Task (COCO) 2020 dataset. This robot can move in all directions and in different places especially in
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Background Parkinson’s disease (PD) is currently the fastest-growing neurological disorder in the world. Patients with PD face numerous challenges in managing their chronic condition, particularly in countries with scarce healthcare infrastructure. Objective This qualitative study aimed to delve into neurologists’ perspectives on challenges and gaps in the Iraqi healthcare system that influence the management of PD, as well as strategies to mitigate these obstacles. Method Semi-structured interviews were conducted with neurologists from five different Iraqi provinces, working in both hospitals and private neurology clinics, between November 2024 and January 2025. A thematic analysis approach was employed to identify the main challenge
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In this paper, double Sumudu and double Elzaki transforms methods are used to compute the numerical solutions for some types of fractional order partial differential equations with constant coefficients and explaining the efficiently of the method by illustrating some numerical examples that are computed by using Mathcad 15.and graphic in Matlab R2015a.
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Churning of employees from organizations is a serious problem. Turnover or churn of employees within an organization needs to be solved since it has negative impact on the organization. Manual detection of employee churn is quite difficult, so machine learning (ML) algorithms have been frequently used for employee churn detection as well as employee categorization according to turnover. Using Machine learning, only one study looks into the categorization of employees up to date. A novel multi-criterion decision-making approach (MCDM) coupled with DE-PARETO principle has been proposed to categorize employees. This is referred to as SNEC scheme. An AHP-TOPSIS DE-PARETO PRINCIPLE model (AHPTOPDE) has been designed that uses 2-stage MCDM s
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Objective: Synthesized a series of new thiourea (TU) derivatives, tested their antioxidant activity, and investigated their expected biological activity by theoretical study (computational methods). Methods: The derivatives were made using a one-pot reaction with two steps. Initially, succinyl chloride was mixed with KSCN to make succinyl isothiocyanate. Then, primary and secondary amines were used to make TU derivatives. The theoretical studies were done by Swiss ADME and molecular docking via Genetic Optimization of Linkage Docking (GOLD). Then evaluate antioxidant activity using the DPPH scavenging method. Results: FT-IR, 1H NMR, and 13C NMR spectroscopy show the verification of all the prepared derivatives. Compounds (II), (VIII),
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In this work, the precursor [2-(1,5-dimethyl-3-oxo-2-phenyl-2,3-dihydro-1H-pyrazol-4-ylimino)acetic acid] was synthesised from 4-aminoantipyrine and glyoxylic acid, this precursor has been used in the synthesis of new multidentate ligand [2-((E)-3-(2-hydroxyphenylimino)-1,5-dimethyl-2-phenyl-2,3-dihydro-1H-pyrazol-4-ylimino)acetic acid][H2L] type (N2O2). The ligand was refluxed in ethanol with metal ions [VO(II), Mn(II), Co(II) and Ni(II)] salts to give complexes of general molecular formula:[M(H2L)2(X)(Y)].B, where: M=VO(II), X=0, Y=OSO3-2, B=2H2O; M=Mn(II),Co(II) ,X=Cl, Y=Cl, B=0; M=Ni(II), X=H2O, Y=Cl, B=Cl. These complexes were characterised by atomic absorpition(A.A), F.T-I.R., (U.V-Vis)spectroscopies (1H,13C NMR for ligand only), alon
... Show MoreSurvival analysis is one of the types of data analysis that describes the time period until the occurrence of an event of interest such as death or other events of importance in determining what will happen to the phenomenon studied. There may be more than one endpoint for the event, in which case it is called Competing risks. The purpose of this research is to apply the dynamic approach in the analysis of discrete survival time in order to estimate the effect of covariates over time, as well as modeling the nonlinear relationship between the covariates and the discrete hazard function through the use of the multinomial logistic model and the multivariate Cox model. For the purpose of conducting the estimation process for both the discrete
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