The most important topic for psychologist generally is factor of education and it's active tools because learning needs active perception for stimulus that recived by the educator and give it avalue and meaning , Need for cognition is
very important in the various daily fields of life , especially in learning and teaching and the academy work , it help with shifting the learning level for people , and icreas the intense and challenge between them
The research endeavored to achieve the following aim :
1- Measuring the level of peripheral perception for the university student .
2- Measuring the level of need for cognition for the university student .
3- Measuring the level of peripheral perception for the university student according to gender .
4- Measuring the level of need for cognition for the university student according to gender .5- Finding the relationship between both variables (peripheral perception) and (need for cognition) for the university students .
The two scales are applied to sample consisted of (100) male and female students of the university student / al jadriya compound exclusively for reasons mentioned with in the current research , and for psychometric properties of the test of peripheral perception it has high validity and reliability and to extract the psychometric properties of the scales of need for cognition is applied to sample consisted of (200) male and female students of the university students , after applying both research tools to the sample and data analysis , the study has arrived at the following result .
The sample of the research males have (field of vision , power of focus , divided attention , reaction time to stimuli) more than the females , but there was no differences between males and females according to (emotional maturity) .
The sample of the research have higher need for cognition .
And there is appositive relationship between (field of vision and emotional maturity) and the variable of need for cognition and there is negative relationship between (power of focus , divided attention , reaction time to stimuli) and the variable of need for cognition .
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The accurate identification of internal and external pressures in thick-walled hyperelastic vessels is a challenging inverse problem with significant implications for structural health monitoring, biomedical devices, and soft robotics. Conventional analytical and numerical approaches address the forward problem effectively but offer limited means for recovering unknown load conditions from observable deformations. In this study, we introduce a Graph-FEM/ML framework that couples high-fidelity finite element simulations with machine learning models to infer normalized internal and external pressures from measurable boundary deformations. A dataset of 1386 valid samples was generated through Latin Hypercube Sampling of geometric and l
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Rapid worldwide urbanization and drastic population growth have increased the demand for new road construction, which will cause a substantial amount of natural resources such as aggregates to be consumed. The use of recycled concrete aggregate could be one of the possible ways to offset the aggregate shortage problem and reduce environmental pollution. This paper reports an experimental study of unbound granular material using recycled concrete aggregate for pavement subbase construction. Five percentages of recycled concrete aggregate obtained from two different sources with an originally designed compressive strength of 20–30 MPa as well as 31–40 MPa at three particle size levels, i.e., coarse, fine, and extra fine, were test
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In this article, we design an optimal neural network based on new LM training algorithm. The traditional algorithm of LM required high memory, storage and computational overhead because of it required the updated of Hessian approximations in each iteration. The suggested design implemented to converts the original problem into a minimization problem using feed forward type to solve non-linear 3D - PDEs. Also, optimal design is obtained by computing the parameters of learning with highly precise. Examples are provided to portray the efficiency and applicability of this technique. Comparisons with other designs are also conducted to demonstrate the accuracy of the proposed design.
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