This research has been applied on 100 children (age 4 – 6 years) from three kindergartens distributed on basis of 43 children from the college of Education for women kindergarten (A) , 27 children from the governmental Al- Mustafa kindergarten (B) , and 30 children from the private Al – Baraom kindergarten (C) . Details concerning their school meals, already prepared at home , have been analyzed according to their dietary components taken from the tables of the dietary values .The statistical analysis results have shown no significant difference (p< 0.01) in the intake of energy , protein and thiamin between the children of A and C kindergartens while these children have significantly recieved higher amounts of the above nutrients from B children . Similar trend of differences (p < 0.05) among the three kindergartens was reported for calcium , niacin , while no significant difference was observed among the three kindergartens in iron , vit . A, riboflavin and ascorbic acid . The comparison between the average intake recieved by the children of A and C kindergartens and the RDA did not show any significant difference from the standpoint of energy , riboflavin and niacin and also between B kindergarten and the RDA from the standpoint of protein ,riboflavin and niacin . However , the intakes of calcium and vit. A of kindergarten A children were significantly less than RDA and significantly more than RDA for protein , iron , thiamin and ascorbic acid , while the intakes of energy , calcium , iron , vit. A and thiamin by kindergarten B were significantly less than RDA and more ascorbic acid . Kindergarten C children , however , recieved significantly less calcium , iron and vit .A and significantly more protein , thiamin and ascorbic acid than RDA . The percentages of children according to the food groups intake were calculated and no significant differences (p < 0.05) were observed in the intakes of bread and cereals group and milk and its products group between A and C kindergartens children , while B children recieved significantly less amounts than A and C children . Concerning meats and eggs , however , significant differences ( p < 0.05 ) were shown between children intakes of the three kindergartens , so that A recieved more amounts then both B and C and C recieved more than B . In regards of fruits and vegetables group , no significant differences ( p < 0.05 ) were reported between the intakes of B and C kindergartens , while A children recieved significantly more amounts than B and C children .
We propose two simple, rapid, and convenient spectrophotometric methods which are described for the determination of cephalexin in bulk and its pharmaceutical preparations. They are based on the measurement of the flame atomic emission of potassium ion (in the first method) and colorimetric determination of the green colored solution at 610 nm formed after the reaction of cephalexin with potassium permanganate as an oxidant agent (in the second method) in basic medium. The working conditions of the methods are investigated and optimized. Beer's law plot shows a good correlation in the concentration range of 5-40?g ml-1. The detection limits are 2.573,2.814 ?g ml-1 for the flame emission photometric method and 1.844,2.016 ?g ml-1 for colo
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This abstract focuses on the significance of wireless body area networks (WBANs) as a cutting-edge and self-governing technology, which has garnered substantial attention from researchers. The central challenge faced by WBANs revolves around upholding quality of service (QoS) within rapidly evolving sectors like healthcare. The intricate task of managing diverse traffic types with limited resources further compounds this challenge. Particularly in medical WBANs, the prioritization of vital data is crucial to ensure prompt delivery of critical information. Given the stringent requirements of these systems, any data loss or delays are untenable, necessitating the implementation of intelligent algorithms. These algorithms play a pivota
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Various theories have been proposed since in last century to predict the first sighting of a new crescent moon. None of them uses the concept of machine and deep learning to process, interpret and simulate patterns hidden in databases. Many of these theories use interpolation and extrapolation techniques to identify sighting regions through such data. In this study, a pattern recognizer artificial neural network was trained to distinguish between visibility regions. Essential parameters of crescent moon sighting were collected from moon sight datasets and used to build an intelligent system of pattern recognition to predict the crescent sight conditions. The proposed ANN learned the datasets with an accuracy of more than 72% in comp
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Students dropout from the Education has a negative phenomena on individual and society and even on different aspects of life especially on the economic aspect , Thus our research tries studying and analyzing the relation between the size of dropout and human development level in Iraq and as (research sample) the first decade of this century as a studying period, the study includes the dropout in Secondary schools and depending the formal records as a main source to evaluate the size of this problem in Iraq , which shows an increase in the size of dropout in this period in comparison with the last decades of the twentieth century, this produces a negative effect on human developme
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