The current study aims at identifying the impact of using learning acceleration model on the achievement of mathematics for third intermediategrade students. Forachieving this, the researchers chose the School (Al-Kholood Secondary School for Girls) affiliated to the General Directorate of Babylon Education / Hashemite Education Department for the academic year (2021/2021), The sample reached to (70) female students from the third intermediate grade, with (35) female students for each of the two research groups. The two researchers prepared an achievement test consisting of (25) objective items of multiple choice type, The psychometric properties of the test were confirmed, and after the completion of the experiment, the achievement test was applied to the two research groups at the same time, and after processing the data statistically using the statistical bag, the study concluded thatthat the experimental group students who studied according to learning acceleration model outperformed the students of the control group who studied according to the traditional method. First // Research problem: We live today in an open era, the most prominent characteristic of which is access to knowledge in many forms that are faster, more interesting and attractive, Perhaps what we really need is knowledge that is transformed into projects and works that contribute to changing reality and making the future;Through the study path of the two researchers and their visit to a number of mathematics teachers for the third intermediate grade, and through a questionnaire distributed to them, the researchers concluded that (85%) of the male and female teachers are not satisfied with their students achievement in mathematics, and this was confirmed by the success rates for the past year, which reached to (34.69%), and some studies indicated a decrease in the achievement level as a study ( Al-Ayoubi, 2007) and (Mizban, 2018) study. The two researchers noted that the reason for the low level of achievement is due to most male and female teachers adopting traditional methods of teaching, using few teaching methods, giving ready information to students, not benefiting from the students’ mental capabilities and abilities, and not knowing many teachers of modern strategies and models in teaching mathematics, which emphasizes the positive role for the learner and taking into account the individual differences among students. The two researchers believe that there is an urgent need to keep up with developments in teaching methods and means by relying on modern models and strategies in teaching, as it is no longer acceptable to maintain traditional methods because they are no longer sufficient to meet the educational process requirements, especially that the world is witnessing qualitative and quantitative leaps in all areas of life, and maintain the traditional methods of teaching will inevitably increase the gap between us and developed world countries. In order to address this problem, the two researchers believe that using learning acceleration model in teaching mathematics to the third intermediate grade female students is that it addresses low achievement problem.
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Ovako Working Postures Analyzing System (OWAS) is a widely used method for studying awkward working postures in workplaces. This study with OWAS, analyzed working postures for manual material handling of laminations at stacking workstation for water pump assembly line in Electrical Industrial Company (EICO) / Baghdad. A computer program, WinOWAS, was used for the study. In real life workstation was found that more than 26% of the working postures observed were classified as either AC2 (slightly harmful), AC3 (distinctly harmful). Postures that needed to be corrected soon (AC3) and corresponding tasks, were identified. The most stressful tasks observed were grasping, handling, and positioning of the laminations from workers. The construct
... Show MoreIn order for the process of removing pollutants, including dyes, from the aquatic environment to be effective, plant wastes such as banana peels were used as adsorbent surfaces by thermally activating them (ABP) and modifying them with iron oxide nanoparticles (MABP), which were characterized using Fourier transform infrared (FT-IR) and X-ray diffraction (XRD) techniques. They were applied in the field of Janus green (JG) dye adsorption for the batch system and studied the effect of several factors (adsorbent weight, contact time, initial concentration, and temperature). Their data were analyzed kinetically using first- and second-order kinetic models and they were found to follow the second order. Their data were also analyzed thro
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Corona Virus Disease-2019 (COVID-19) is a novel virus belongs to the corona virus's family. It spreads very quickly and causes many deaths around the world. The early diagnosis of the disease can help in providing the proper therapy and saving the humans' life. However, it founded that the diagnosis of chest radiography can give an indicator of coronavirus. Thus, a Corner-based Weber Local Descriptor (CWLD) for COVID-19 diagnostics based on chest X-Ray image analysis is presented in this article. The histogram of Weber differential excitation and gradient orientation of the local regions surrounding points of interest are proposed to represent the patterns of the chest X-Ray image. Support Vector Machine (SVM) and Deep Belief Network (DBN)
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The two most popular models inwell-known count regression models are Poisson and negative binomial regression models. Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson regression assumes the response variable Y has a Poisson distribution, and assumes the logarithm of its expected value can be modeled by a linear combination of unknown parameters. Negative binomial regression is similar to regular multiple regression except that the dependent (Y) variables an observed count that follows the negative binomial distribution. This research studies some factors affecting divorce using Poisson and negative binomial regression models. The factors are unemplo
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In order for the process of removing pollutants, including dyes, from the aquatic environment to be effective, plant wastes such as banana peels were used as adsorbent surfaces by thermally activating them (ABP) and modifying them with iron oxide nanoparticles (MABP), which were characterized using Fourier transform infrared (FT-IR) and X-ray diffraction (XRD) techniques. They were applied in the field of Janus green (JG) dye adsorption for the batch system and studied the effect of several factors (adsorbent weight, contact time, initial concentration, and temperature). Their data were analyzed kinetically using first- and second-order kinetic models and they were found to follow the second order. Their data were also analyzed thro
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The Influence of Some Vitamins and Biochemical Parameters on Iraqi Females’ Patients with Malignant Breast Cancer"