The visual impression represents a compound process of a group of concepts that might be secondary and interrelated to constitute, in reality, a cognitive image stored in the memory that can be retrieved according the implications of the situation in which the individual lives in his environment, as it awakens in him an image from the sub consciousness, thus it gets stimulated, and it is among the tangible things.
Since we live in our contemporary world under the development of knowledge, micro and wide technology of the devices, tools, materials, mechanisms, current developments and openness… etc. this transformation created visual impressions that the individual in general and the consumer in specific enjoys concerning his preferences for the image of the industrial product.
Thus, the current research problem can be established through an attempt to discover the consumer's awareness level and education, which depends on his visual impressions in preferring the industrial products that are characterized by high quality and technology in the operation mechanisms and the demonstration techniques, which generates functional and other aesthetic dimensions. Therefore, the researcher determined the following question:
What are the functional and aesthetic dimensions of the industrial product and their implications on the creation of a visual impression on the consumer?
The current research aimed at:
1- Identifying the aesthetic and functional dimensions of the industrial product.
2- Reaching the influences of the aesthetic and functional dimensions of the industrial product over the creation of the consumer's visual impression.
The research community is made of the industrial products designed in (2019) by Samsung, and a random sample represented by (automatic washing machine- electronic refrigerator- television screen) has been chosen.
Therefore, these samples have been subjected to the analysis and investigation process to verify the aim of the current research. The following are some conclusions:
1- The idea of the industrial designer, when implementing the product, requires achieving the functional dimensions of it represented by the ease of use according to clear operation mechanisms for the consumer through relying on advanced high efficiency systems.
2- The industrial product can have a high technology which reduces the consumer's time and effort in the process of the functional use of this product in a way suitable with the concept of performance and achieves the benefit.
Objective(s): To assess the burden of mothers` care for child with colostomy and find out relationships between child and mother socio-demographic data with mothers` burden. Methodology: a descriptive study was conducted from 1 August 2013 to 1 September 2014. The sample consisted of 100 children and their mothers at Baghdad Teaching hospital in Baghdad city. A questionnaire was prepared based on the previous literature review, meeting mothers of children with colostomy, and the Zarit Burden Interview scale. Data has collected through the application of questionnaire and interview techniques. Results: T
The need to create the optimal water quality management process has motivated researchers to pursue prediction modeling development. One of the widely important forecasting models is the sessional autoregressive integrated moving average (SARIMA) model. In the present study, a SARIMA model was developed in R software to fit a time series data of monthly fluoride content collected from six stations on Tigris River for the period from 2004 to 2014. The adequate SARIMA model that has the least Akaike's information criterion (AIC) and mean squared error (MSE) was found to be SARIMA (2, 0, 0) (0,1,1). The model parameters were identified and diagnosed to derive the forecasting equations at each selected location. The correlat
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This study was aimed to investigate the response surface methodology (RSM) to evaluate the effects of various experimental conditions on the removal of levofloxacin (LVX) from the aqueous solution by means of electrocoagulation (EC) technique with stainless steel electrodes. The EC process was achieved successfully with the efficiency of LVX removal of 90%. The results obtained from the regression analysis, showed that the data of experiential are better fitted to the polynomial model of second-order with the predicted correlation coefficient (pred. R2) of 0.723, adjusted correlation coefficient (Adj. R2) of 0.907 and correlation coefficient values (R2) of 0.952. This shows that the predicted models and experimental values are in go
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