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 .
In this work, the adsorption of reactive yellow dye (Remazol yellow FG dye) by granular activated carbon (GAC) was investigated using batch and continuous process. The batch process involved determination the equilibrium isotherm curve either favorable or unfavorable by estimation relation between adsorption capacity and concentration of dye at different dosage of activated carbon. The results were fitted with equilibrium isotherm models Langmuir and Freundlich models with R2value (>0.97). Batch Kinetic study showed good fitting with pseudo second order model with R2 (0.987) at contact time 5 h. which provesthat the adsorption is chemisorptions nature. Continuous study was done by fixed bed column where breakthrough time was increased
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In the present work, the thermo-fluid characteristics of a heat exchanger formed of helical coiled tubes immersed in cold water are investigated experimentally. Two types of helical coiled tube are tested, a conventional vertical single helical coiled tube and a new triple vertical helical coiled tube in parallel connection called as meshed coils. The effect of hot water flow rates inside the tubes (ranges from 2.67 to 7.08 l/min), and its inlet temperatures (namely 50, 60, 70 and 80 °C) are investigated. The experimental results show that increasing the flow rate inside the meshed coils leads to decrease the temperature difference between inlet and outlet. An enhancement of heat transfer for meshed coils compared to single coil has been n
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... Show MorePermeability determination in Carbonate reservoir is a complex problem, due to their capability to be tight and heterogeneous, also core samples are usually only available for few wells therefore predicting permeability with low cost and reliable accuracy is an important issue, for this reason permeability predictive models become very desirable.
This paper will try to develop the permeability predictive model for one of Iraqi carbonate reservoir from core and well log data using the principle of Hydraulic Flow Units (HFUs). HFU is a function of Flow Zone Indicator (FZI) which is a good parameter to determine (HFUs).
Histogram analysis, probability analysis and Log-Log plot of Reservoir Qua
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