Following model educational offenders in collection and Alasbaka of fifth grade students preparatory in history A. M. Dr Prepared by: Dr. Bashaer Mawloud Tawfeeq, The Center of Educational and Psychological Studies Baghdad University - There is no difference statistically significant at the 0.05 level of significance between the average scores of the following students studying using model and offenders and who are studying in the usual manner (traditional) in the collection - There is no difference statistically significant at the 0.05 level of significance between the mean scores for the following students studying using model and offenders and who are studying in the usual manner (traditional) in retention Find limits: Current search is determined by students fifth grade preparatory (literary) in day secondary schools in the province of Baghdad Center Determine the terms of the survey model and offenders, collection, retention Chapter II Previous studies have addressed the model and offenders with the collection and retention Chapter III First: the experimental design: the researcher adopted experimentally determined The two experimental groups and a control group and achievement test after me Second: The students preparatory fifth (literary) in day secondary schools in Baghdad city center / for the academic year 2012-2013 Third: distributed randomly on the two sets of people search to the first representation of the experimental group (Division) Division represents the control group. The number of female students after Astied the female students Alraspat to the previous year Researcher rewarded variables (degrees of history, intelligence test, the previous information in history Researcher drafted (35) behaviorally goal depending on the general goals and content-delivery history topics examined in the experiment spread over the first three levels of the cognitive domain of Bloom's Taxonomy (knowledge, comprehension, application) Researcher prepared a test to measure the achievement of Formation (35) paragraph of multiple-choice, the researcher used a number of means, including statistical (ANOVA, difficult equation and excellence paragraph, the Pearson correlation coefficient, Spearman equation - Brown Chapter IV Presented in this chapter researcher's findings in accordance with the goal of research and hypotheses (rejected hypotheses and the results showed that there were statistically significant differences between the scores of the two students Conclusions In light of the findings of current research can be concluded as follows: Preference model Janneh on the usual way of teaching history at the fifth grade students preparatory and which was reflected by raising level mode and retention of information Recommendations: In light of the findings and conclusions reached by the researcher can go out the following recommendations: - Emphasis on the educational model Janneh in the teaching of history in middle school because of its role in achieving the objectives of teaching history to raise the level of the collection and retention of information Numbers of teachers, which makes them able to teach according to modern models in the teaching of history Proposals : An update of the current research suggests the researcher conducting the following studies A similar study of the current study in another subsidiary variables such as critical thinking or direction towards the article,Following model educational offenders in collection and Alasbaka of fifth grade students preparatory in history
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Neuro-ophthalmic disorders are often documented individually for each illness, with little data available on their overall incidence and pattern. The overall incidence of neuro-ophthalmic illnesses in Iraq is still not recorded. This study aimed to evaluate the clinical, demographic, and etiological features of patients seeking consultation at an Iraqi neuro-ophthalmology clinic. A prospective cross-sectional observational research was conducted at the Janna Ophthalmic Center in Baghdad, Iraq. The center serves a diverse patient population from various governorates. All newly diagnosed patients with neuro-ophthalmic disorders who visited the neuro-ophthalmological clinic, regardless of gender or age group, were included. The neuro-ophthalmo
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The gas sensing properties of Co3O4 and Co3O4:Y nano structures were investigated. The films were synthesized using the hydrothermal method on a seeded layer. The XRD, SEM analysis and gas sensing properties were investigated for Co3O4 and Co3O4:Y thin films. XRD analysis shows that all films are polycrystalline in nature, having a cubic structure, and the crystallite size is (11.7)nm for cobalt oxide and (9.3)nm for the Co3O4:10%Y. The SEM analysis of thin films obviously indicates that Co3O4 possesses a nanosphere-like structure and a flower-like structure for Co3O4:Y.
The sen
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The presence of antibiotic residues such as ciprofloxacin (CIPR) in an aqueous environment is dangerous when their concentrations exceed the allowable. Therefore, eliminating these residues from the wastewater becomes an essential issue to prevent their harm. In this work, the potential of efficient adsorption of ciprofloxacin antibiotics was studied using eco-friendly ZSM-5 nanocrystals‑carbon composite (NZC). An inexpensive effective natural binder made of the sucrose-citric acid mixture was used for preparing NZC. The characterization methods revealed the successful preparation of NZC with a favorable surface area of 103.739 m2/g, and unique morphology and functional groups. Investigating the ability of NZC for adsorbing CIPR antibioti
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The consumption of dried bananas has increased because they contain essential nutrients. In order to preserve bananas for a longer period, a drying process is carried out, which makes them a light snack that does not spoil quickly. On the other hand, machine learning algorithms can be used to predict the sweetness of dried bananas. The article aimed to study the effect of different drying times (6, 8, and 10 hours) using an air dryer on some physical and chemical characteristics of bananas, including CIE-L*a*b, water content, carbohydrates, and sweetness. Also predicting the sweetness of dried bananas based on the CIE-L*a*b ratios using machine learn- ing algorithms RF, SVM, LDA, KNN, and CART. The results showed that increasing the drying
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