هدفت الدراسة الى الاهتمام واستغلال ماهو جديد من تقنيات واجهزة حديثة في تعليم السباحة الحرة عن طريق توجيه الاطفال على تطوير مداركهم واستيعابهم بالتطور التكنولوجي الذي يتناوله العالم ،قامت الباحثتان باعداد منهج تعليمي باستخدام نظارة الواقع الافتراضي وذالك بتوفير بيئة مشابهة للبيئة الحقيقية تحاكي مدارك عقول الاطفال في عالم افتراضي لتتكون صورة كاملة عن مهارات السباحة الحرة ،ومن هنا اتت المشكلة نتيجة تعلق وولع اطفالها بشكل مبالغ فيه بالاجهزة والتقنيات الحديثة والمتطورة وقضاء اغلب اوقاتهم في استخدام التقنيات الحديثة والتي يصعب على الشخص البالغ استخدامها لكننا نجد الاطفال اكثر قدرة على التعامل معها لذالك لقد لاحظت الباحثتان هذه المشكلة وتبلورت الفكرة لحل هذه المشكلة في الاستخدام الجانب الايجابي لهذه التقنية لتحسين بعض القدرات الحركية وتعلم مهارات السباحة الحرة. واعتمد المنهج التجريبي بتصميم المجموعتين التجريبية والضابطة على عينة من اطفال الصف الاول الابتدائي بلغ (20) طفل واختيرت عمدية بنسبة (47.619%) من مجتمهم الاصلي المتمثل بطلاب الصف الاول الابتدائي في مدرسة العراق الدولية للعام الدراسي (2023-2024) المستمرين بالدوام المنتظم والحضوري ، اذ قسمت العينة الى مجموعتين تجريبية وضابطة ،وتم التجريب على اطفال المجموعة التجريبية لمدة (6) اسبوع متتالي بواقع وحدتين في الاسبوع ، وبعد الانتهاء تمت معالجة النتائج بنظام SPSS لتكون الاستنتاجات والتوصيات بانه من الممكن استخدام تقنية النظارة الذكية في الدروس العملية لتعلم مهارات السباحة الحرة للاطفال وان استخدام نظارة الواقع الافتراضي في دروس السباحة يساعد على تحسين بعض القدرات الحركية وتعلم السباحة الحرة للاطفال حيث تفوقت المجموعة التي استخدمت تقنية النظارة الذكية على الاطفال الذين تعلمو بدونها ، ومن الضروري زيادة الاهتمام بتعليم الاطفال على وفق تقنية نظارة الواقع الافتراضي التي وفرت لهم اثارة وتشويق في التعلم والبحث عن ماهو جديد يخدم عملية التعلم بشكل كبير. وهذا ما يحقق احد اهداف التنمية المستدامة للامم المتحدة في العراق (التعليم الجيد).
The Geological modeling has been constructed by using Petrel E&P software to incorporate data, for improved Three-dimensional models of porosity model, water saturation, permeability estimated from core data, well log interpretation, and fault analysis modeling.
Three-dimensional geological models attributed with physical properties constructed from primary geological data. The reservoir contains a huge hydrocarbon accumulation, a unique geological model characterization with faults, high heterogeneity, and a very complex field in nature.
The results of this study show that the Three-dimensional geological model of Khasib reservoir, to build the reservoir model starting with evaluation of reservoir to interpretation o
... Show MoreThirty uropathogenic E. coli isolates were isolated from hospitalized and non hospitalized patients, complaining of urinary tract infections, of Al-Kadhymia Teaching Hospital and subjected to tRNA extraction. A method of tRNA extraction was modified by adding sodium dodecyl sulfate (SDS) instead of urea. Polyacrylamide gel electrophoresis and two methods of staining, ethidium bromide staining and silver staining, as well as spectrophotometric detection were used.
The antiphytopathogenic effects of the crude methanol extract of Cladophora glomerata (Lin.) Kützing (Cladophoraceae) which isolated from Al Rashidiya region at north of Baghdad was investigated against two type of plant fungi (Pythium altimum and Rhizoctonia solani) which causes damping off disease where isolated from covered cucumber field in Al-Alyosifia region. Hot methanol extract showed antifungal activity against the two species of fungi in different concentrations(10,25,50 mg/ml) of extract to Cladophora glomerata as percentage inhibition (51.63 ,72.8 ,83.71) and (56.18 ,77.41 ,100)comparing with Pythium altimum and Rhizoctonia solani respectively .primary detection of active compounds showed that macroalgae (Cladoph
... Show MoreTiO2 thin films were deposited by Spray Pyrolysis with thickness ((350±25) nm) onto glass substrates at (350°C), and the film was annealed at temperatures (400 and 500)°C. The structural and morphological properties of the thin films (TiO2) were investigated by X-ray diffraction, Field emission scanning electron microscopy and atomic force microscope. The gas sensor fabricated by evaporating aluminum electrodes using the annealed TiO2 thin films as an active material. The sensitivity of the sensors was determined by change the electrical resistance towards NO2 at different working temperatures (200
In this paper, we will introduce the concept of interval value fuzzy n-fold KU-ideal in KU-algebras, which is a generalization of interval value fuzzy KU-ideal of KU-algebras and we will obtain few properties that is similar to the properties of interval value fuzzy KU-ideal in KU-algebras, see [8]. Also, we construct some algorithms for folding theory applied to KU-ideals in KU-algebras.
A progression of Polyaniline (PANI) and Titanium dioxide (TiO2) nanoparticles (NPs) were prepared by an in-situ polymerization strategy within the sight of TiO2 NPs. The subsequent nanocomposites were analyzed using Fourier-transform infrared spectra (FTIR), X-ray diffraction (XRD), Scanning Electron Microscopy (SEM), and Energy Dispersive X-Ray Analysis (EDX) taken for the prepared samples. PANI/TiO2 nanocomposites were prepared by various compound materials (with H2SO4 0.3 M and without it, to compare the outcome of it) by the compound oxidation technique using ammonium persulfate (APS) as oxidant within the sight of ultrafine grade powder of TiO2 cooled in an ice bath.
... Show MoreHeat transfer process and fluid flow in a solar chimney used for natural ventilation are investigated numerically in the present work. Solar chimney was tested by selecting different positions of absorber namely: at the back side, front side, and at the middle of the air gap. CFD analysis based on finite volume method is used to predict the thermal performance, and air flow in two dimensional solar chimney under unsteady state condition, to identify the effect of different parameters such as solar radiation. Results show that a solar chimney with absorber at the middle of the air gap gives better ventilation performance. A comparison between the numerical and previous experimental results shows fair agreement.
Facial emotion recognition finds many real applications in the daily life like human robot interaction, eLearning, healthcare, customer services etc. The task of facial emotion recognition is not easy due to the difficulty in determining the effective feature set that can recognize the emotion conveyed within the facial expression accurately. Graph mining techniques are exploited in this paper to solve facial emotion recognition problem. After determining positions of facial landmarks in face region, twelve different graphs are constructed using four facial components to serve as a source for sub-graphs mining stage using gSpan algorithm. In each group, the discriminative set of sub-graphs are selected and fed to Deep Belief Network (DBN) f
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