Abstract:
The aim of the present research is to evaluate the child’s nutritional
method (2-5 years old) which is based on his resistance of the food highly rich
with nutritional elements and his acceptance of the food of a low nutritional
value in addition to his having forbidden food with other mates and making
use of all mates when having food, in establishing the sound social values and
affection since child hood. The required statistical equation have been used
by the researcher namely (Z test).
The sample of the present study consists of (26) children who were selected
intentionally and randomly from the kindergartens of Al-Bayaa region and the
college of Education for women. The questionnaires were distributed among
the samples mother. After sorting the answers, it was noticed that the foods
refused by the child included : milk, eggs, meat, fish, rice, potatoes, soup,
bread, eggplants, green pepper, cucumber, tomatoes, banana and orange.
The reasons behind the children’s refusal mediated between the highest
percentage (100%) for the children who had no desire and the lowest
percentage (20%) for fear of the shape of food as a fish for not having such
types of food by the cartoon films, while the other percentages (30-80%)
oscillated for the food taste, lack of appetite, inability to crew, food smell,
creating accuses, the child’s health but when the child was brought together
with his mates, he was able to have the same rejected food in a high degree.
The results of the study concluded that the increase of the child’s acceptance
of the food leads to some positive indicators among which achieving the
sound social, educational and nutritional aims especially under the
circumstances our country lives in and this is the first step towards
establishing the national values for the children of the neighborhood and the
kinder gather friends away from any wrong concept that might dissociate
them.
Artificial neural networks usage, as a developed technique, increased in many fields such as Auditing business. Contemporary auditor should cope with the challenges of the technology evolution in the business environment by using computerized techniques such as Artificial neural networks, This research is the first work made in the field of modern techniques of the artificial neural networks in the field of auditing; it is made by using thesample of neural networks as a sample of the artificial multi-layer Back Propagation neural networks in the field of detecting fundamental mistakes of the financial statements when making auditing. The research objectives at offering a methodology for the application of theartificial neural networks wi
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The focus will be on the statement of the extent of corruption and investment in Iraq and the adoption of the style of economic measurement using cross-section
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Investment in human capital of renewable energy can be relied upon to get to achieve the goals of development is important for Iraq through the intellectual community cards creative able to innovate and develop what is so is study the effect of human investment on economic growth through the adoption of the index of national income as a function of variables independent ( human capital, physical capital) and this is built on the premise that the relationship direct correlation between economic growth and human investment, and it can measure the return on human investment, which is an incentive to increase human capital through education and the development of the economy in general have shown th
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Objectives: This study was designed to determine the relationship between the levels of iron indices and diabetes mellitus type 2. Type 2
Type of the study: Cross –sectional study.
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