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Classroom environment & its Relation Cognitive motive and Reflective Thinking of university Student
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The present research aims at the following:
- Measure Classroom environment of university Student (research sample)- Measure
Cognitive motive and Reflective Thinking of university Student (research Sample) .
- In order to Know the relationship between the Scores of Classroom environment and
Scores of cognitive motive and Scores of Reflective Thinking of university Student
(research Sample) .
Sample of research consisted of (500) Students for both genders distrivbted upon ten
colleges in Baghdad University , (5) Scientific Colleges , and (5) human Colleges , Sample
was chosen by using radom method  Research instruments were three , Prepared by the researcher ,The first is to measure
classroom environment . The Second to measure Cognitive motive . The third to measure
Reflective Thinking .
The research verified the Validity of measurements and their items were analyzed
Statistically upon the sample consisted of (500) Students for both genders to extract the
discrimination power and the Validity of items . Reliadility was calculated by method
The Alpha kronbache method for internal constanc.
After fulfilling measurements preparations , the final application was applied upon the major
research Sample Consisted of (500) students of both genders. Number of Statistical methods
were used to answer of the research aims and hypotheses like person Coeffisient m (t-test) for
one sample two vaeiance analysis , multiple declivity analysis , Scheffe .
The most important result achievd by the researcher is that there is a Positive Conjunctive
relation of statistical significance between Classroom environment and cognitive motive
, also there is a Positive relationship of statistical significance between classroom
environmentand Reflectiv thinking .
That the erea of interachtion of Students With each other and the Organaztion of the Lesson
and Provide a list Supplies and teaching field interaction with Students and Contribute to its
clear and Signicant . The researcher set some recommendations and suggestions .

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Publication Date
Tue Feb 06 2024
Journal Name
Moroccan Journal Of Chemistry
Green Synthesis, Characterization, Antimicrobial and Anticancer Studies of Zirconium Oxide Nanoparticles Using Thyme plant Extract
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In this work we used the environmentally friendly method to prepared ZrO2 nanoparticles utilizing the extract of Thyms plant In basic medium and at pH 12, the ZrO2 NPs was characterized by different techniques such as FTIR, ultraviolet visible, Atomic force microscope, Scanning Electron Microscopy, X-ray diffraction and Energy dispersive X-ray. The average crystalline size was calculated using the Debye Scherres equation in value 7.65 nm. Atomic force microscope results showed the size values for ZrO2 NPs were 45.11nm, and there are several distortions due to the presence of some large sizes. Atomic force microscope results showed the typical size values for ZrO2 NPs were 45.11 nm, and there are several distortions due to the presence of so

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Publication Date
Wed Feb 01 2023
Journal Name
Optik
Synthesis and characterization of PVDF/PMMA/ZnO hybrid nanocomposite thin films for humidity sensor application
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Publication Date
Fri Jan 31 2025
Journal Name
Aip Conference Proceedings
Classification of oral cavity cancer using linear discriminant analysis (LDA) and principal component analysis (PCA)
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Publication Date
Sun Jul 01 2018
Journal Name
Journal Of The American Pharmacists Association
Evaluation of community pharmacist–provided telephone interventions to improve adherence to hypertension and diabetes medications
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Publication Date
Mon Jun 01 2020
Journal Name
Colloids And Surfaces A: Physicochemical And Engineering Aspects
Removal of antibiotic tetracycline using nano-fluid emulsion liquid membrane: Breakage, extraction and stripping studies
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Publication Date
Wed Dec 18 2019
Journal Name
Baghdad Science Journal
Detecting Keratoconus by Using SVM and Decision Tree Classifiers with the Aid of Image Processing
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 Researchers used different methods such as image processing and machine learning techniques in addition to medical instruments such as Placido disc, Keratoscopy, Pentacam;to help diagnosing variety of diseases that affect the eye. Our paper aims to detect one of these diseases that affect the cornea, which is Keratoconus. This is done by using image processing techniques and pattern classification methods. Pentacam is the device that is used to detect the cornea’s health; it provides four maps that can distinguish the changes on the surface of the cornea which can be used for Keratoconus detection. In this study, sixteen features were extracted from the four refractive maps along with five readings from the Pentacam software. The

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Publication Date
Sat Oct 01 2022
Journal Name
Structures
Behaviour and design of the ‘lockbolt’ demountable shear connector for sustainable steel-concrete composite structures
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In order to promote sustainable steel-concrete composite structures, special shear connectors that can facilitate deconstruction are needed. A lockbolt demountable shear connector (LB-DSC), including a grout-filled steel tube embedded in the concrete slab and fastened to a geometrically compatible partial-thread bolt, which is bolted on the steel section's top flange of a composite beam, was proposed. The main drawback of previous similar demountable bolts is the sudden slip of the bolt inside its hole. This bolt has a locked conical seat lug that is secured inside a predrilled compatible counter-sunk hole in the steel section's flange to provide a non-slip bolt-flange connection. Deconstruction is achieved by demounting the tube from the t

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Publication Date
Fri Jun 28 2024
Journal Name
Arab World English Journal
The Relationship between Willingness to Communicate in English and Psychological Adjustment of Iraqi EFL Learners
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The current research aims to examine the willingness to communicate and psychological adjustment of Iraqi EFL undergraduate students. To achieve the main aim, a sample of 100 male and female Iraqis’ undergraduate students studying English as a foreign language was chosen randomly from two different public colleges in Baghdad city for the academic year 2023-2024. Two scales have five Likert alternatives of 17 and 16 items developed by McCroskey & Richmond (1990) and Wais (2010), respectively were administered to the research sample to collect the needed data. The results revealed that Iraqi EFL undergraduate students have a willingness to communicate in the English language. Iraqi EFL undergraduate students have a good level of

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Publication Date
Wed Mar 01 2023
Journal Name
International Journal Of Nonlinear Analysis And Applications
The use of ARIMA, ANN and SVR models in time series hybridization with practical application
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Forecasting is one of the important topics in the analysis of time series, as the importance of forecasting in the economic field has emerged in order to achieve economic growth. Therefore, accurate forecasting of time series is one of the most important challenges that we seek to make the best decision, the aim of the research is to suggest employing hybrid models to predict daily crude oil prices. The hybrid model consists of integrating the linear component, which represents Box Jenkins models, and the non-linear component, which represents one of the methods of artificial intelligence, which is the artificial neural network (ANN), support vector regression (SVR) algorithm and it was shown that the proposed hybrid models in the predicti

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Publication Date
Sun Jan 01 2023
Journal Name
International Journal Of Nonlinear Analysis And Applications
The use of ARIMA, LSTM and GRU models in time series hybridization with practical application
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The importance of forecasting has emerged in the economic field in order to achieve economic growth, as forecasting is one of the important topics in the analysis of time series, and accurate forecasting of time series is one of the most important challenges in which we seek to make the best decision. The aim of the research is to suggest the use of hybrid models for forecasting the daily crude oil prices as the hybrid model consists of integrating the linear component, which represents Box Jenkins models and the non-linear component, which represents one of the methods of artificial intelligence, which is long short term memory (LSTM) and the gated recurrent unit (GRU) which represents deep learning models. It was found that the proposed h

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