Abstract: The aim of the current research is to identify (the relationship between deep understanding skills and mathematical modeling among fifth grade students) the research sample consisted of (411) male and female students of the fifth grade of biology distributed over the General Directorates of Education in Baghdad / Al-Rusafa / 2 / and Al-Karkh / 1 /, and two research tools were built: 1- A test of deep understanding skills, consisting of (20) test items and a scale for two skills. 2- The second test consists of (24) test items distributed among (18) essay items and (6) objective items. The psychometric properties of validity, stability, discriminatory strength, and effectiveness of alternatives were verified for the two tests for students. The descriptive, analytical and inferential research method was used, and three statistical hypotheses were formulated for the research, which are as follows: 1- There is a statistically significant difference at the significance level (0.05) between the hypothetical mean and the arithmetic mean of the students' scores in general in the tests of deep understanding skills. 2- There is no statistically significant difference at the level of significance (0.05) between the hypothetical mean and the arithmetic mean of the students’ scores in general in the tests of mathematical modeling skills. 3- There is no statistically significant relationship at the significance level (0.05) between the skills of deep understanding and the skills of mathematical modeling among the students of the fifth scientific grade in general. These hypotheses were tested by statistical methods (parametric and non-parametric methods) test, estimates of the effect coefficients according to the simple non-linear regression model of the cubic polynomial, Pearson's simple correlation coefficient, half-segmentation method, non-parametric Mann-Whitney test, (Ki-test). Square), and this was achieved by using the ready-made statistical package (SPSS), and the search results were as follows: 1- There is a similarity in the low level of students' responses in general in the skills of deep understanding. 2- A low level of students' responses in general to the test of mathematical modeling skills was achieved. 3- There is a correlation according to the polynomial model used between the effect of mathematical modeling skills on the dimension function of deep understanding skills for the two groups of male and female students. In light of the results of the research, the researcher recommended several recommendations, including: the inclusion of the mathematics curriculum with exercises, activities and exercises that require employing mathematical modeling skills and deep understanding skills, and working to increase the qualification and training of mathematics teachers by preparing special training courses for this purpose related to introducing them to mathematical modeling and its importance and how to implement it in the classroom , the researcher suggested several proposals, including: Conducting a study to reveal the ability of mathematics teachers on mathematical modeling skills
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In this article, the research presents a general overview of deep learning-based AVSS (audio-visual source separation) systems. AVSS has achieved exceptional results in a number of areas, including decreasing noise levels, boosting speech recognition, and improving audio quality. The advantages and disadvantages of each deep learning model are discussed throughout the research as it reviews various current experiments on AVSS. The TCD TIMIT dataset (which contains top-notch audio and video recordings created especially for speech recognition tasks) and the Voxceleb dataset (a sizable collection of brief audio-visual clips with human speech) are just a couple of the useful datasets summarized in the paper that can be used to t
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The convolutional neural networks (CNN) are among the most utilized neural networks in various applications, including deep learning. In recent years, the continuing extension of CNN into increasingly complicated domains has made its training process more difficult. Thus, researchers adopted optimized hybrid algorithms to address this problem. In this work, a novel chaotic black hole algorithm-based approach was created for the training of CNN to optimize its performance via avoidance of entrapment in the local minima. The logistic chaotic map was used to initialize the population instead of using the uniform distribution. The proposed training algorithm was developed based on a specific benchmark problem for optical character recog
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Deep Learning Techniques For Skull Stripping of Brain MR Images
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In this article, the research presents a general overview of deep learning-based AVSS (audio-visual source separation) systems. AVSS has achieved exceptional results in a number of areas, including decreasing noise levels, boosting speech recognition, and improving audio quality. The advantages and disadvantages of each deep learning model are discussed throughout the research as it reviews various current experiments on AVSS. The TCD TIMIT dataset (which contains top-notch audio and video recordings created especially for speech recognition tasks) and the Voxceleb dataset (a sizable collection of brief audio-visual clips with human speech) are just a couple of the useful datasets summarized in the paper that can be used to test A
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Diversity has become one of the required phenomena to be available within public organizations, in light of the changes taking place in the global and international environment and in various fields. Therefore, it was imperative to study the impact of this phenomenon in various institutions, especially public ones, in most developing countries, including Iraq. The current research aims to analyze the relationship between The demographic diversity and institutional effectiveness of a sample of workers in public institutions included (500) respondents. The questionnaires were distributed to them randomly. Diversity is considered an independent variable and institutional effectiveness a dependent variable. The researcher used interview tools a
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Background: Asthma is a common chronic disease in children in which the body’s airways swell, preventing the lungs from filling with air, there are many different inflammatory cells involved in asthma which can synthesize and release cytokines which are recognized to be important in chronic inflammation and play a critical role in the inflammatory response. Objectives: to assess the local effect of ICS on oral tissue by measuring Interlukine-12 level and Candida albicans colony in saliva among12 year's old asthmatic children who were collected from AL- Zahra Center Advisory for Allergy and Asthma, and compares them with non-asthmatic children of the same age and gender.Type of the study: Cross –sectional study.Methods: The total samp
... Show MoreBackground: 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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