Those interested in the educational process and lesson management sought to invest the information experience with industrial intelligence and technology because of its importance in increasing the effectiveness of lesson management and developing the creative capabilities of the teacher in directing and managing his lesson. Field research for sports educational institutions that are interested in managing the lesson and preparing mathematical teaching cadres is an important issue and necessary means for identifying the most important phenomena that accompany the process of managing the educational process, as the teacher's success in providing the appropriate conditions to provide rich and influencing experiences in managing and directing the lesson is one of the most important factors and foundations The success of the educational process. Therefore, the study aimed to get acquainted with the information experience and its role in the administrative ability to produce a physical education and sports lesson in the Basra Education Directorate. The descriptive method, using the relational method, was used to a randomly chosen sample of teachers and physical education and sports teachers in secondary schools of the Basra Directorate of Education, numbering (300) teaching and teaching. The researchers used the scale of information experience after preparing it for the research sample and conducting the scientific foundations for it and the measure of the administrative ability to extract the lesson to obtain study data from the sample and statistically processing it. The researchers reached the following conclusion: 1-Physical Education and Sports Science teachers are distinguished by their information experience and administrative ability to manage the lesson. 2-That teachers have a degree of informational experience that has a direct moral correlation that distinguishes them from the administrative ability to manage and direct the lesson effectively and influentially the lesson. Therefore, the researchers recommend the following:-1-Using the two scales to evaluate the information experience and the administrative ability in managing and directing the lesson, within the requirements of adequate annual job performance for teachers of physical education and sports science. 2-The necessity of conducting training courses to gain information experience with modern technology and industrial intelligence, how to access and use it and the skills that it requires. 3-Attention to the administrative ability in managing and directing physical education and sports science lessons for high school teachers. Definition of research Research introduction and importance The information experience with technology and artificial intelligence is a standard for understanding, awareness, appreciation and feeling in the fields of multimedia technology and information networks, and all of its branches of technology are specialized in dealing with information in any of its images, which contribute to the acquisition of the teacher and the student how to apply knowledge and use it, and instill the behaviors of curiosity and scientific research, as upgrading the educational process management as effective engines for good learning affects the orientation of the teacher's behavior towards caring for the management of the educational process (Ahmad, 1990: 22). Therefore, those interested in the educational process and lesson management sought to invest the information experience with artificial intelligence and technology because of its importance in increasing the effectiveness of the lesson management and developing the creative capabilities of the teacher in directing and managing his lesson, because one of the advantages of information experience in education is the element of excitement and excitement for the student and the immediate enhancement of his answer, which He pays for more learning and scientific research in accordance with these techniques (Hassan, 2009: 3). From here we find the interest of the teachers in managing their lesson by directing their students to solve research.
The Cu(II) was found using a quick and uncomplicated procedure that involved reacting it with a freshly synthesized ligand to create an orange complex that had an absorbance peak of 481.5 nm in an acidic solution. The best conditions for the formation of the complex were studied from the concentration of the ligand, medium, the eff ect of the addition sequence, the eff ect of temperature, and the time of complex formation. The results obtained are scatter plot extending from 0.1–9 ppm and a linear range from 0.1–7 ppm. Relative standard deviation (RSD%) for n = 8 is less than 0.5, recovery % (R%) within acceptable values, correlation coeffi cient (r) equal 0.9986, coeffi cient of determination (r2) equal to 0.9973, and percentage capita
... Show MoreThe preparation of low cost activated carbon from date stones and microwave method by using K2CO3 as chemical activator were investigated.
The prepared activated carbon was used to remove fluoroquinolones antibiotics from aqueous solution. The characterizations of the activated carbon is represented by surface area, pore volume, ash content, moisture content, bulk density, and iodine number. The adsorbed fluoroquinolones antibiotics are Ciprofloxcin (CIP), Norfloxcin (NOR) and Levofloxcin (LEVO). Different variables as pH, initial concentrations and contact time were studied to show the efficieny of prepared activated carbon. The experimental adsorption data were analyzed by Lungmuir, Freundlich
... Show MoreIn this article the unsteady magnetohydrodynamics oscillating flow of third order fluid with free stream velocity is proposed. It is found that the motion equation is controlled by five dimensionless parameters namely the coecostic parameter 4, viscoelostic parameter ?,acceleration/deceleration c,suction/blowing d and material constants ? . The effect of each of these parameters upon the velocity distribution is analysised
<p>Analyzing X-rays and computed tomography-scan (CT scan) images using a convolutional neural network (CNN) method is a very interesting subject, especially after coronavirus disease 2019 (COVID-19) pandemic. In this paper, a study is made on 423 patients’ CT scan images from Al-Kadhimiya (Madenat Al Emammain Al Kadhmain) hospital in Baghdad, Iraq, to diagnose if they have COVID or not using CNN. The total data being tested has 15000 CT-scan images chosen in a specific way to give a correct diagnosis. The activation function used in this research is the wavelet function, which differs from CNN activation functions. The convolutional wavelet neural network (CWNN) model proposed in this paper is compared with regular convol
... Show MoreTreatment of a high strength acidic industrial wastewater was attempted by activated carbon
adsorption to evaluate the feasibility of yielding effluents of reusable qualities. The experimental
methods which were employed in this investigation included batch and column studies. The
former was used to evaluate the rate and equilibrium of carbon adsorption, while the latter was
used to determine treatment efficiencies and performance characteristics. Fixed bed and expanded
bed adsorbers were constructed in the column studies. In this study, the adsorption behavior of acetic acid onto activated carbon was examined as a function of the concentration of the adsorbate, contact time and adsorbent dosage. The adsorption data was mo
In regression testing, Test case prioritization (TCP) is a technique to arrange all the available test cases. TCP techniques can improve fault detection performance which is measured by the average percentage of fault detection (APFD). History-based TCP is one of the TCP techniques that consider the history of past data to prioritize test cases. The issue of equal priority allocation to test cases is a common problem for most TCP techniques. However, this problem has not been explored in history-based TCP techniques. To solve this problem in regression testing, most of the researchers resort to random sorting of test cases. This study aims to investigate equal priority in history-based TCP techniques. The first objective is to implement
... Show MoreThis study aims to show the effectiveness of immobilization of Chlorella green algae biomass in the form of bead for the removal of lead ions from synthetic polluted water at various operational parameters such as pH (2–6), biosorbent dosage (0.5–20 g/L) and initial concentration (10–100 mg/L). More than 90 % removal efficiency was achieved. FTIR and SEM-EDX analysis of the biosorbent before and after sorption show differences in the functional groups on the adsorbent surface. Langmuir and Freundlich equilibrium isotherm, pseudo-first-order and pseudo-second-order kinetic models were applied to the experimental and results and show good conformity with Langmuir isotherm model and pseudo-second-order kinetic model with c
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