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Investigating the Use of Google Meet and Face-to-Face in Teaching Conversation
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conversation is an oral skill in which two persons can exchange their ideas, thoughts and opinions to communicate with each other. Learners can work in pairs or groups to practice dialogues chosen by the teacher from their textbook materials or from additional resources. Nowadays, because of Corona virus infection, our college students are taught all the subjects including conversation course either via google classroom platform or any other platforms. Google meet is one of online meetings between the teacher and students, i.e., a video meet in which students and the teacher join the online meetings in a specified time to communicate, express their ideas, thoughts and feelings about what is mentioned above. In this study, the researcher has chosen (third stage level/college students during the academic year 2020/2021) and the data of the study was two dialogues chosen from “Chris Redston and Gillie Cunningham Face2face Intermediate Student's Book. Cambridge University Press (2013)” to study by google meet. Another two dialogues were chosen from their required textbook Real Listening and Speaking 4 with Answers. Miles Craven (2008). Cambridge University Press to study by face to face. One group of thirty-two students was chosen randomly to be the experimental group for the sample of the study to practice the dialogues via face- to- face and via google meet. This group post-tested by an observation checklist; results are calculated. At the end, the researcher concludes google meet has a great influence on students’ learning in the post-test scores, the t-test value is found to be 20.320 which is more than the tabulated value 2.042. Then, recommendations and suggestions for further studies are put forward.

Publication Date
Wed Jan 01 2020
Journal Name
Ieee Access
Nondestructive Evaluation of Coatings Delamination Using Microwave Time Domain Reflectometry Technique
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Publication Date
Mon Dec 02 2024
Journal Name
Engineering, Technology & Applied Science Research
An Artificial Neural Network Prediction Model of GFRP Residual Tensile Strength
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This study uses an Artificial Neural Network (ANN) to examine the constitutive relationships of the Glass Fiber Reinforced Polymer (GFRP) residual tensile strength at elevated temperatures. The objective is to develop an effective model and establish fire performance criteria for concrete structures in fire scenarios. Multilayer networks that employ reactive error distribution approaches can determine the residual tensile strength of GFRP using six input parameters, in contrast to previous mathematical models that utilized one or two inputs while disregarding the others. Multilayered networks employing reactive error distribution technology assign weights to each variable influencing the residual tensile strength of GFRP. Temperatur

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Publication Date
Tue Oct 24 2023
Journal Name
Zanco Journal Of Pure And Applied Sciences
Topical Application of Capparis Spinosa Fruit Extract Lowers Blood Glucose Level.
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Publication Date
Wed Jan 01 2020
Journal Name
University Of Bucharest Rom Biotechnol Printed In Romania.
Antibiotic resistance determinants of Acinetobacter baumannii strains isolated from nosocomial infections
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Publication Date
Sun Mar 01 2020
Journal Name
Iop Conference Series: Materials Science And Engineering
Characterization of nickel oxide nanocatalyst electrodes for an alkaline fuel cell
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Abstract<p>In this paper had been studied the characterization of the nanocatalyst (NiO) Mesh electrodes. For fuel cell. The catalyst is prepared and also the electrodes The structural were studied through the analysis of X-ray diffraction of the prepared nanocatalyst for determining the yielding phase and atomic force microscope to identify the roughness of prepared catalyst surface, Use has been nanocatalyst led to optimization of cell voltage, current densities & power for a fuel cell.</p>
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Publication Date
Wed Jun 15 2022
Journal Name
Malaysian Journal Of Science
INVESTIGATION OF FAST NEURON ATTENUATION COEFFICIENTS FOR SOME IRAQI BUILDING MATERIALS
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This research aims to improve the radiation shielding properties of polymer-based materials by mixing PVC with locally available building materials. Specifically, two key parameters of fast neutron attenuation (removal cross-section and half-value layer) were studied for composite materials comprising PVC reinforced with common building materials (cement, sand, gypsum and marble) in different proportions (10%, 30% and 50% by weight). To assess their effectiveness as protection against fast neutrons, the macroscopic neutron cross-section was calculated for each composite. Results show that neutron cross-section values are significantly affected by the reinforcement ratios, and that the composite material PVC + 50% gypsum is an effect

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Publication Date
Fri Mar 01 2019
Journal Name
Far East Journal Of Mathematical Sciences (fjms)
SOME TYPES OF DELAY DIFFERENTIAL EQUATIONS SOLVED BY SUMUDU TRANSFORM METHOD
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Publication Date
Wed Dec 01 2021
Journal Name
International Journal Of Research In Social Sciences & Humanities. E-issn
CONCEPTS OF LITERATURE: COMPARATIVE LITERATURE BY HENRY GIFFORD (an Article REVIEW).
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BOOK REVIEW

Publication Date
Sun Aug 01 2021
Journal Name
Laser Micro- And Nano-scale Processing
Physical principles of laser–material interaction regimes for laser machining processes
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Lasers, with their unique characteristics in terms of excellent beam quality, especially directionality and coherency, make them the solution that is key for many processes that require high precision. Lasers have good susceptibility to integrate with automated systems, which provides high flexibility to reach difficult zones. In addition, as a processing tool, a laser can be considered as a contact-free tool of precise tip that became attractive for high precision machining at the micro and nanoscales for different materials. All of the above advantages may be not enough unless the laser technician/engineer has enough knowledge about the mechanism of interaction between the laser light with the processed material. Several sequential phenom

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Publication Date
Sun Jan 01 2017
Journal Name
Proceedings - European Metallurgical Conference, Emc 2017
Friction stir welding of aluminum alloy AA2024-T351 with OFHC copper
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