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The Musical Intelligence in kindergarten children
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The childhood of the important stages in which the adopted child's personality, mental and physical, motor and configure , as well as gain experience , it is the basis on which the future life of the child , studies have unanimously competent in the fields of childhood verily the first five years of a child of the most important stages of life and the most fertile life . Because the stage Childhood its an active role as the foundation upon which to build human personality , it was necessary to create all leads to raise the level of intelligence of children , because intelligence is the first element in the organization of thinking makes the child able to do the activities characterized by mental qualities .
Indicated most of the scientists, there is a mental and intellectual series deals with a number of intelligences , including musical intelligence , that music intelligence is thefoundation upon which to build the artistry capacity , because it is inspired by a sense of the individual environmental beauty, taste of nature and you pay to become more understanding to the content of the aesthetic elements of the environment , also, the family that develop musical intelligence of her child , help to gain a lot of different values and principles , including: respect for his homeland, and to respect the rights of others and the rights of the community in which he lives , working on widening the intellectual, linguistic, emotional and imaginary field when, for example, learned how to coordinate his voice to learn a particular skill or experience, and thus grow human being sound and integrated.
Given the importance of music in a child intelligence kindergarten , and the lack of studies on this topic , the researcher sought to measure the musical intelligence of kindergarten children By building a test of intelligence musician at the age of (5-6) years based on the theory (Wing) musical intelligence, researcher chose Kindergarten (AL- Slam) of the Directorate of Baghdad / Karkh second in the AL-Alam area , and that the number of its children (187) boys and girls .
In order to test the application for adoption , researcher Extracted transactions discrimination and difficulty of the paragraphs of the test , validity to the test as a whole transactions ,and its fields, the test includes the three areas, it is as follows: (Music cognition), which consists of (30) items , (musical taste), which consists of (3) items , and finally (Music Performance), which consists of (8) items , bringing the number of items of the test as a whole (41) items.
After the test application on the research sample consisting of (187 ) children, the data were analyzed Which Obtained by researcher Children of answers on the test , and introduced the statistical system (SPSS) , results of the study revealed that the kindergarten children were suffering from the weakness of their intelligence in music, compared with the average premise, researcher This result was interpreted according to the theory (Wing) that the by relying in the search , that the cause of the weakness of children in kindergarten musical intelligence goes back to different musical productions on the three areas identified by (Wing) to his test.
The researcher also provided after receiving a Search some of the recommendations and suggestions which it considered useful to researchers and the concerned authorities in this issue result.

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Publication Date
Tue Mar 21 2023
Journal Name
International Journal Of Emerging Technologies In Learning (ijet)
Impact of Deep Learning Strategy in Mathematics Achievement and Practical Intelligence among High School Students
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— To identify the effect of deep learning strategy on mathematics achievement and practical intelligence among secondary school students during the 2022/2023 academic year. In the research, the experimental research method with two groups (experimental and control) with a post-test were adopted. The research community is represented by the female students of the fifth scientific grade from the first Karkh Education Directorate. (61) female students were intentionally chosen, and they were divided into two groups: an experimental group (30) students who were taught according to the proposed strategy, and a control group (31) students who were taught according to the usual method. For the purpose of collecting data for the experimen

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Publication Date
Sun Jul 20 2025
Journal Name
Journal Of Baghdad College Of Dentistry
A Salivary α-Amylase Level in Relation to the Oral Health Parameters among Children in Baghdad City
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Background: Saliva is a specific bio-fluid with important biomarkers. Analyzing any alternation in these markers could give valuable information, in relation to oral health status parameters. The aim of this study was to investigate the level of α -amylase in unstimulated whole saliva of healthy, primary school children in relation to some oral health parameters. Materials and Methods: A questionnaires consisted of demography and medical histories of participants were filled by children families. Saliva samples were collected for 5- minutes between 9:00 -11:00 AM from 114 healthy students aged 6-13 years, divided into four age groups. Flow- rate, Plaque and Gingival Index were assessed and dentition status was investigated by DMFT/dmft

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Publication Date
Tue Jan 01 2002
Journal Name
Journal
The Effectiveness & Safety of Topical Podophyllin Therapy in Condylomata Acuminata in Iraqi Infants and Young Children.
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KESMM Al, WAA Al-Nuaimy

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Publication Date
Sun Jan 01 2006
Journal Name
Iraqi Journal Of Community Medicine
The Effectiveness & Safety of Topical Podophyllin Therapy in Condylomata Acuminata in Iraqi Infants and Young Children
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KE Sharquie, MM Al-Waiz, AA Al-Nuaimy, IRAQI JOURNAL OF COMMUNITY MEDICINE, 2006

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Publication Date
Thu Nov 01 2012
Journal Name
2012 International Conference On Advanced Computer Science Applications And Technologies (acsat)
Data Missing Solution Using Rough Set theory and Swarm Intelligence
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This paper presents a hybrid approach for solving null values problem; it hybridizes rough set theory with intelligent swarm algorithm. The proposed approach is a supervised learning model. A large set of complete data called learning data is used to find the decision rule sets that then have been used in solving the incomplete data problem. The intelligent swarm algorithm is used for feature selection which represents bees algorithm as heuristic search algorithm combined with rough set theory as evaluation function. Also another feature selection algorithm called ID3 is presented, it works as statistical algorithm instead of intelligent algorithm. A comparison between those two approaches is made in their performance for null values estima

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Publication Date
Wed Nov 01 2023
Journal Name
Al-rafidain Journal Of Medical Sciences ( Issn 2789-3219 )
After Introducing Artificial Intelligence, can Pharmacists Still Find a Job?
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Publication Date
Sun Jan 01 2023
Journal Name
Lecture Notes In Networks And Systems
Using Artificial Intelligence and Metaverse Techniques to Reduce Earning Management
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This study aims to demonstrate the role of artificial intelligence and metaverse techniques, mainly logistical Regression, in reducing earnings management in Iraqi private banks. Synthetic intelligence approaches have shown the capability to detect irregularities in financial statements and mitigate the practice of earnings management. In contrast, many privately owned banks in Iraq historically relied on manual processes involving pen and paper for recording and posting financial information in their accounting records. However, the banking sector in Iraq has undergone technological advancements, leading to the Automation of most banking operations. Conventional audit techniques have become outdated due to factors such as the accuracy of d

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Publication Date
Mon Jan 01 2024
Journal Name
International Journal Of Mathematics And Computer Science
Artificial Intelligence Techniques to Identify Individuals through Palm Image Recognition
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Artificial intelligence (AI) is entering many fields of life nowadays. One of these fields is biometric authentication. Palm print recognition is considered a fundamental aspect of biometric identification systems due to the inherent stability, reliability, and uniqueness of palm print features, coupled with their non-invasive nature. In this paper, we develop an approach to identify individuals from palm print image recognition using Orange software in which a hybrid of AI methods: Deep Learning (DL) and traditional Machine Learning (ML) methods are used to enhance the overall performance metrics. The system comprises of three stages: pre-processing, feature extraction, and feature classification or matching. The SqueezeNet deep le

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Publication Date
Fri Aug 16 2024
Journal Name
International Journal Of Mathematics And Computer Science
Artificial Intelligence Techniques to Identify Individuals through Palm Image Recognition
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Artificial intelligence (AI) is entering many fields of life nowadays. One of these fields is biometric authentication. Palm print recognition is considered a fundamental aspect of biometric identification systems due to the inherent stability, reliability, and uniqueness of palm print features, coupled with their non-invasive nature. In this paper, we develop an approach to identify individuals from palm print image recognition using Orange software in which a hybrid of AI methods: Deep Learning (DL) and traditional Machine Learning (ML) methods are used to enhance the overall performance metrics. The system comprises of three stages: pre-processing, feature extraction, and feature classification or matching. The SqueezeNet deep le

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Publication Date
Wed Mar 10 2021
Journal Name
Baghdad Science Journal
The role of the plasmid content in multiple resistance to antibiotics Life in isolated Rthomh of cases of diarrhea in children
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Was conducted neutralize content Albulamedi for local isolates using Alacardan dye orange selection experience showed loss of local isolates resistant life antibiotic ampicillin, chloramphenicol

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