Typographic patterns are one of the design elements in commercial advertising for their ability to deliver the message and information to the recipient smoothly and quickly, and it is indicated that there are many different techniques that can use typographic patterns in commercial advertisements, including spacing, spaces between letters, letter height, length, weight, and contrast and this Usage must be studied according to the type of font and how it can be used in advertising campaigns.
Based on the above, the research came to study (employing typographic patterns in commercial advertising design) in which the researcher identified his question for the purpose of reaching a solution to his research problem which is (Is it possible to employ typographic patterns to be used as a basic element in designing the advertising idea for commercial advertising to achieve functional, aesthetic and expressive values? It also included the importance of research and limitations as well as the definition of terminology.
As for the theoretical framework, the literature related to the research topic was reviewed to include the concept of typography, and the functional dimension of typographic patterns, and it was concluded with the indicators of the theoretical framework.
As for the research procedures, the researcher adopted the descriptive approach, the method of analyzing the content in the analysis procedures, in order to achieve the goal of the research, as the research community came to be represented by the products of international advertising agencies and for the large number of advertisements issued by them, the researcher decided to approve the designs issued by them and chose the designs of printed advertisements only and issued by them for the year 2018.
And the last of this research, the results and conclusions were reviewed, the most important of which are:
1. The result of the use of three-dimensional letters has the ability to attract the consumer more than the two-dimensional lettering.
2. Changing the typographic character, size, weight, color, and position changes the way the message appears and often changes the meaning.
He concluded with recommendations, proposals and sources
The corrosion behavior of carbon steel at different temperatures 100,120,140 and 160 Cͦ under different pressures 7,10 and 13 bar in pure distilled water and after adding three types of oxygen scavengers Hydroquinone, Ascorbic acid and Monoethanolamine in different concentrations 40,60 and 80 ppm has been investigated using weight loss method. The carbon steel specimens were immersed in water containing 8.2 ppm dissolved oxygen (DO) by using autoclave. It was found that corrosion behavior of carbon steel was greatly influenced by temperature with high pressure. The corrosion rate decreases, when adding any one of oxygen scavengers. The best results were obtained at a concentration of 80 ppm of each scavenger. It was observed that
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The approach of the research is to simulate residual chlorine decay through potable water distribution networks of Gukookcity. EPANET software was used for estimating and predicting chlorine concentration at different water network points . Data requiredas program inputs (pipe properties) were taken from the Baghdad Municipality, factors that affect residual chlorine concentrationincluding (pH ,Temperature, pressure ,flow rate) were measured .Twenty five samples were tested from November 2016 to July 2017.The residual chlorine values varied between ( 0.2-2mg/L) , and pH values varied between (7.6 -8.2) and the pressure was very weak inthis region. Statistical analyses were used to evaluated errors. The calculated concentrations by the calib
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... Show MoreUntil The Second Half Of Nineteenth Century , Psychology Depended On Philosophy In Its Experiences Which Means It Depend On Individuals Feelings Toward Psychological Experiences And Rapid Observation . As For The Scientific Organized Experimentation And Observation By Machines Have Been Used Later .
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... Show MoreIn the literature, several correlations have been proposed for bubble size prediction in bubble columns. However these correlations fail to predict bubble diameter over a wide range of conditions. Based on a data bank of around 230 measurements collected from the open literature, a correlation for bubble sizes in the homogenous region in bubble columns was derived using Artificial Neural Network (ANN) modeling. The bubble diameter was found to be a function of six parameters: gas velocity, column diameter, diameter of orifice, liquid density, liquid viscosity and liquid surface tension. Statistical analysis showed that the proposed correlation has an Average Absolute Relative Error (AARE) of 7.3 % and correlation coefficient of 92.2%. A
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