The behavior of thinking is consider one of the modern concepts that appear in the last 20 years, this concept has attracted the attention of psychologists and researchers for thinking has a great role in many fields like teaching ,educational,economical,cultural and social fields.
One of thinking manner is imaginal thinking that has a great role in human civilization. imaginal thinking lead to innovation ,poems, inventions and arts. imaginal thinkingled to highscores in talented schools by escalating their thinking range and solving problems that consider one of organized and free assumption thinking.
The development of problems thinking strategies reflect the development of organized brain process ability.
That studies assumes that increasing problems solving in childhood increasing problems solving in life.
Then this research aims to:
1-Estimate adults imaginal thinking according to age scale (23, 24, 25, 26)
2- Estimateadults'imaginal thinking according to social scale.
3- Estimate adults solving problems according to age scale (23, 24, 25, 26)
4-Estimate adults solving problems according to social scale.
5- Estimate the relation between age scale and social scale.
The samples are (400) male and female employees randomly selected .the researchers established imaginal thinking scale and problems solving scale according to (information process theory) ,then extracting the psychometrical features of these scales from stability and truth .
By analyzing research data, the results are:
1(-23,24,25,26) year adults have imaginal thinking.
2-Imaginal thinking affected by social by social scale varibles in 26 years adults.
3- The problems solving ability increasing in (23,24,25,26) years adults.
4- The problem solving ability is unaffected by social type in adults.
There is positive relation between imaginal thinking and problems solving among adults .
The research achieves many proposals and recommendations.
Keywords: imaginal thinking, problems solving, adults
Fluidization process is widely used by a great assortment of industries worldwide and represents a trillion dollar industry [6]. They are currently used in separation, classification, drying and mixing of particles, chemical reactions and regeneration processes; one of these processes is the mass transfer from an immersed surface to a gas fluidized bed
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The objective of this study was to develop neural network algorithm, (Multilayer Perceptron), based correlations for the prediction overall volumetric mass-transfer coefficient (kLa), in slurry bubble column for gas-liquid-solid systems. The Multilayer Perceptron is a novel technique based on the feature generation approach using back propagation neural network. Measurements of overall volumetric mass transfer coefficient were made with the air - Water, air - Glycerin and air - Alcohol systems as the liquid phase in bubble column of 0.15 m diameter. For operation with gas velocity in the range 0-20 cm/sec, the overall volumetric mass transfer coefficient was found to decrease w
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