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Anger in Kindergarten Children as Seen by Teachers
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Anger is one of the problems of scientific importance that psychologists and education scientists are interested in, especially societies and educational environments, because if a child’s anger continues to develop into violence, then it becomes an unusual behavior, and an indication of the child's lack of adaptation to his family and his environment (Moses, 2013: 4)                                                                                            

 The outward expression of anger can be found in facial expressions, body language, physiological responses, and sometimes in public acts of human aggression or from wild animals (Desmond, 1967: 34)

 

The current research aims to identify:

  1. Measuring anger among kindergarten children.

In order to achieve the aims of the research, the researcher built an anger measure to measure anger in kindergarten children, and it consists of three areas, first area: (the subjective emotional aspect) from item (1) to item (11), and the second area: (the physiological aspect) from item (12) to item. (19), the third area: (the apparent, external aspect) from item (20) to item (31). The total number of the anger measure in all its areas is (31) items, the teacher answer it ,the measure were presented to a group of arbitrators of experts and specialists in educational and psychological sciences, measurement and evaluation, kindergartens and fine arts of 18 experts to demonstrate the validity of the measure items and their suitability for children. The researcher extracted the apparent validity of the measure.

The researcher extracted a number of psychometric properties of the measure by using the T-test for two independent samples (T-test) and the Pearson correlation coefficient, and the Chi-square test and the Kolmogrove - Smirnov. As for the stability, it was extracted by retest method (0.95) and stability Alpha Cronbach of (0.97).

The research found that kindergarten children suffer from a state of anger... Based on these results, of anger... Based on these results; the researcher reached a number of appropriate recommendations and suggestions.

 

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Publication Date
Wed Jan 01 2020
Journal Name
Applied Energy
Solidification enhancement with multiple PCMs, cascaded metal foam and nanoparticles in the shell-and-tube energy storage system
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Tue Sep 01 2015
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Tue May 07 2019
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Efficacy of the LED Red Light Therapy in the Treatment of Temporomandibular Disorders: Double Blind Randomized Controlled Trial
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Background. Temporomandibular dysfunction syndrome (TMD) is a common disease among dental patients. It occurs as a consequence of malfunction of the tempromandibular and/or surrounding facial muscles. LED red light therapy is not been well established, and it is important to find out the role of this technique in the treatment of temporomandibular disorders. Aim of the Study. To evaluate the efficacy of the LED red light in the treatment of the tempromandibular dysfunction syndrome. Material and Methods. Fifty students of the College of Dentistry/University of Baghdad with myofacial pain associated with Tempromandibular Disorder volunteered to participa

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Publication Date
Mon Oct 30 2023
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Amputation of the upper limb significantly hinders the ability of patients to perform activities of daily living. To address this challenge, this paper introduces a novel approach that combines non-invasive methods, specifically Electroencephalography (EEG) and Electromyography (EMG) signals, with advanced machine learning techniques to recognize upper limb movements. The objective is to improve the control and functionality of prosthetic upper limbs through effective pattern recognition. The proposed methodology involves the fusion of EMG and EEG signals, which are processed using time-frequency domain feature extraction techniques. This enables the classification of seven distinct hand and wrist movements. The experiments conducte

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Investigation of halo structure of neutron rich 14B, 15C, 19C and 22N nuclei in the two body model
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Wed Jul 01 2015
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Publication Date
Sat Aug 09 2025
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Machine learning models for predicting morphological traits and optimizing genotype and planting date in roselle (Hibiscus Sabdariffa L.)
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Accurate prediction and optimization of morphological traits in Roselle are essential for enhancing crop productivity and adaptability to diverse environments. In the present study, a machine learning framework was developed using Random Forest and Multi-layer Perceptron algorithms to model and predict key morphological traits, branch number, growth period, boll number, and seed number per plant, based on genotype and planting date. The dataset was generated from a field experiment involving ten Roselle genotypes and five planting dates. Both RF and MLP exhibited robust predictive capabilities; however, RF (R² = 0.84) demonstrated superior performance compared to MLP (R² = 0.80), underscoring its efficacy in capturing the nonlinear genoty

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Publication Date
Fri May 23 2025
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Molecular detection of Rubella virus (1E genotype) in clinical sample of pregnant women, and it’s related to abortion
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Pregnant women who have rubella may potentially pass the infection on to their unborn offspring. A congenital rubella infection can result in a miscarriage, stillbirth, and congenital rubella syndrome. The only member of the Togaviridae family’s Rubivirus genus, the Rubella virus (RV) is a positive-polarity, single-stranded RNA virus genome surrounded by a lipoprotein envelope with spike-like, hemagglutinin-containing surface projections.The objective: to determine the Rubella virus (1E genotype) in pregnant woman and its relation to spontaneous miscarriage.Materials and methods. A total of 174 women which visited Al-Elweya Teaching Hospital, Baghdad, Iraq, were screened according to the following criteria: women with a history of

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