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The Effect of Increased Correction in Modifying Some Improper Eating Habits in Malnourished Children
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Not necessarily to be malnutrition is a result of poverty and lack of food, it may be the outcome of the wrong food practices; and the lack of knowledge in nutrition basis and chronic diseases. Some studies have confirmed that the more the knowledge in nutrition basis increased, the more the child has well-balanced food.

Unhealthy eating habits spread among children at an early age, which is one of the negative factors affecting the nutritional status they have causing various disorders as a result of lack or increase of food or lack of balance. The signs and symptoms of these disorders can be simple or can lead to deadly diseases.

Training children on proper eating habits in different fields of life is considered the most important functions of kindergarten's teacher, and whenever such habits are correct, the child grows up healthy, physically and psychologically. This is because the physical health depends largely on mental health and the habits that an individual accustomed them since childhood.Current research goal have been identified by:

_ knowing the effect of increased correction program in modifying some improper eating habits in malnourished children, and that requires the testing the following hypotheses :

 

  1. There are no statistically significant differences between the sign scores of the experimental group on the list of unhealthy dietary habits between the pre and post tests.
  2. There are no statistically significant differences between the sign scores of the control group on the list of unhealthy dietary habits between the pre and post tests.
  3. There are no statistically significant differences between the sign scores of the experimental and control groups on the list of unhealthy dietary habits after applying the program of increased correction in the post test.
  4. There are no statistically significant differences between the sign scores of the experimental group on the list of unhealthy dietary habits between the first post test and the second one.

And to achieve the goal of the current research, (30) children was chosen intention from (5) kindergartens in the districts of Baghdad city. To measure  improper eating habits and measure malnutrition caused by lack of protein, the researcher tries to:

  1. Build a measurement of improper dietary habits contains (55) points.
  2. Build a measurement of malnutrition that caused by lack of protein contains (22) points.
  3. Build a program that uses the method of increased correction to modify some of unhealthy dietary habits of malnourished children due to lack of protein, contains (14) meetings.

These measurements and program have submitted to a group of experts and specialists in fields of medicine of society, nutrition, and educational and psychological sciences, who are (20) experts to evaluate the validity of the points. The researcher found the truth of the two measurements and the program, and she also found two kinds of stability for the measurement of unhealthy dietary habits, which are (85%) in the way of re-test and (88%) in the way of Alvakronbach.

 the research found the following results:

  1. There are statistically significant differences between pre and post tests on the list of unhealthy dietary habits and in favor of the experimental group post test.
  2. There are no statistically significant differences between pre and post tests for the control group.
  3. There are statistically significant differences between the scores' orders of the experimental group and the control group on the list unhealthy dietary habits after applying the program and this due to the effect and effectiveness of the program.
  4. There are statistically significant differences between the scores' orders of the experimental group in the first post test and the second one after (3) weeks.
  5. The method of increased correction led to fully modify the unhealthy dietary habits of malnourished children within a period of only (7) weeks.

For these results, the researcher reached to a number of recommendations.

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Publication Date
Fri Feb 28 2025
Journal Name
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Synergizing Machine Learning and Physical Models for Enhanced Gas Production Forecasting: A Comparative Study of Short- and Long-Term Feasibility
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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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Thu Nov 02 2023
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Experimental determination of hydrate phase equilibrium for different gas mixtures containing methane, carbon dioxide and nitrogen with motor current measurements
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Publication Date
Tue Nov 01 2022
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Green Synthesis Of Bimetallic Iron/Copper Nanoparticles Using Ficus Leaves Extract For Removing Orange G(OG) Dye From Aqueous Medium
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This study shows that it is possible to fabricate and characterize green bimetallic nanoparticles using eco-friendly reduction and a capping agent, which is then used for removing the orange G dye (OG) from an aqueous solution. Characterization techniques such as scanning electron microscopy (SEM), Energy Dispersive Spectroscopy (EDAX), X-Ray diffraction (XRD), and Brunauer-Emmett-Teller (BET) were applied on the resultant bimetallic nanoparticles to ensure the size, and surface area of particles nanoparticles. The results found that the removal efficiency of OG depends on the G‑Fe/Cu‑NPs concentration (0.5-2.0 g.L-1), initial pH (2‑9), OG concentration (10-50 mg.L-1), and temperature (30-50 °C). The batch experiments showed

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Publication Date
Tue Mar 15 2022
Journal Name
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Natural preparation of rice husk-derived silica and eggshell-derived calcium carbonate composite as a coating material for dental implant
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Background: The world is in front of two emerging problems being scarceness of virgin re-sources for bioactive materials and the gathering of waste production. Employment of the surplus waste in the mainstream production can resolve these problems. The current study aimed to prepare and characterize a natural composite CaO-SiO2 based bioactive material derived from naturally sustained raw materials. Then deposit this innovative novel bioactive coating composite materials overlying Yttria-stabilized tetragonal zirconia substrate. Mate-rials and method; Hen eggshell-derived calcium carbonate and rice husk-derived silica were extracted from natural resources to prepare the composite coating material. The manufac-tured powder was characterized

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