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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Background: The rapid integration of Artificial Intelligence (AI) into healthcare necessitates that nursing education evolves to equip students with essential technological competencies. Objectives: To explore pediatric nursing students' perceptions of AI in nursing and analyze associations with sociodemographic factors and prior AI knowledge. Methods: A descriptive cross-sectional study was conducted from December 2024 to March 2025 across five universities in Baghdad. A non-probability sample of 500 pediatric nursing students completed the Shinners Artificial Intelligence Perception (SAIP) tool. Data were analyzed using descriptive statistics and inferential comparisons (t-tests/ANOVA) via SPSS. Results: Participants had a mean ag
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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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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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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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In this study Isolated Pathogenic bacteria which causes Tonsillitis in Children with ages between 3-17 years. They are admitted to Central Children Hospital (Al-Karch) and Ebn-Albalady Hospital (Al-Rusafa). 200 cases were collected which include 120 Male and 80 Female. The result of the recent study shows that the isolation percentage was 40% from Male and 35% from Female. In this study Fifty six isolated were Identified, 20 were ?-hemolytic Streptococcus which was Streptococcus pyogenes, formed (36%) from all isolated.6 Pathogenic bacteria were ?- hemolytic Streptococcus which was Streptococcus pneumoniae formed (11%). The number of Moraxella catarrhalis bacteria was 12 formed (21%), the number of Haemophilus influenzae was 1
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In today’s competitive environment, organizational efficiency and sustained growth are crucial for survival. The performance of an organization is intricately connected to strategic planning, prompting firms to gather and leverage competitive information for a competitive advantage. Senior managers, recognizing this, initiate actions accordingly. This study aims to investigate the relationship between foresight, vision, strategic partnerships, motivation, system thinking, and organizational performance. Data, gathered through a self-administered questionnaire from various textile units, were analysed using structural equation modelling (SEM). The findings indicate that sub-constructs of strategic intelligence positively impact organizatio
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