The concept of clarity and readability of the written texts is an important goal in order to convey the communication idea to the receiver easily; the written texts have special significance because it is the most effective way to fulfill this idea as well as to achieve the aesthetic dimension of the written material, and clarity in the written texts is a prerequisite for reading, and readability is the speed of the optical reading of the written form, as the letters design plays a key role in facilitating the readability of the texts, and thus, it is necessitated to take care of these texts and studied them thoroughly in terms of shape for easy to read, and thus to understand the implications of the texts.
For that reason, the researchers have identified the problem of their research the following question?:
Are the clarity and readability fulfilled in the commercials designs
The importance of the current research is shown in enriching the cognitive side of the clarity and readability for those who involved in the design field in commercials as well as opening scientific horizons towards the development of ideas presented in commercials designs.
As for the objective of this research, it lies in the detection of the clarity and readability concept of the commercials designs.
The research limits of the commercials included the physical and objective limits as well as the spatial limits of Arab commercial ads and time limits in 2009, and that what was included in the first chapter.
The second chapter covers the theoretical scope which included (the concept of clarity, readability and the spatial organizing variables of the written texts and formal elements in the commercials).
The third chapter is devoted to the research procedure, where the researchers followed the descriptive content as a method to analyze the content for the purpose of monitoring the phenomena.
The unit of analysis is identified for the reason that it bears an integrated communication idea in which ideas can be elicited through the analysis and thus 24 units were formed as samples of the research community in which (3) samples have been selected using the non-probabilistic intentionality manner of the total community.
The researchers have reached in the fourth chapter to scientific findings and conclusions in which objectives set were achieved. These results include the following
1.The reading clarity in terms of implementation, use, alignment, spacing, and choosing of letters were not suitable due to the decrease in font size compared to the size of the advertisement in the advertising texts as in the sample (1)
2.The written texts are a design necessity because it is complementary to the images to interpret and explain them because the advertisement needs precision to be interpreted and to show its design idea content, as in the sample (1), (3)
3.The written texts are an influential factor in achieving clarity and readability and the ability to absorb the formal employment as in the sample (2)
4.Spacing between lines and char
acters in the written texts were not carefully considered which leads to lack of readability and clarity as in the samples (1), (3).
Abstract
The problem of missing data represents a major obstacle before researchers in the process of data analysis in different fields since , this problem is a recurrent one in all fields of study including social , medical , astronomical and clinical experiments .
The presence of such a problem within the data to be studied may influence negatively on the analysis and it may lead to misleading conclusions , together with the fact that these conclusions that result from a great bias caused by that problem in spite of the efficiency of wavelet methods but they are also affected by the missing of data , in addition to the impact of the problem of miss of accuracy estimation
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A particle swarm optimization algorithm and neural network like self-tuning PID controller for CSTR system is presented. The scheme of the discrete-time PID control structure is based on neural network and tuned the parameters of the PID controller by using a particle swarm optimization PSO technique as a simple and fast training algorithm. The proposed method has advantage that it is not necessary to use a combined structure of identification and decision because it used PSO. Simulation results show the effectiveness of the proposed adaptive PID neural control algorithm in terms of minimum tracking error and smoothness control signal obtained for non-linear dynamical CSTR system.
The aim of this paper is to present the first record of ctenophore species Pleurobrachia pileus (O. F. Müller, 1776) in the coral reef as was recently found in Iraqi marine waters. The specimens were collected from two sites, the first was in Khor Abdullah during May 2015, and the second site was located in the pelagic water of the coral reef area, near the Al-Basrah deep sea crude oil marine loading terminal. Three samples were collected at this site during May 2015, February and March 2018 which showed that P. pileus were present at a densities of 3.0, 2.2 and 0.55 ind./ m3 respectively. The species can affect on the abundance of other zooplankton community through predation.
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Large quantities of petroleum-contaminated soil are generated with increased global energy consumption and crude oil production. This theoretical study evaluates the treatment of 1 ton of petroleum-contaminated soil using seven methods: incineration, physical washing, chemical washing, thermal pyrolysis, Fenton-oxidation-pyrolysis, the biological treatment, and asphaltenes. Data were based on experimental results from the Nahran Bin Omar oil lake in Basra Governorate, Iraq, (2019–2021). The methods were compared by waste generation, treatment cost, and duration. Results indicate that using petroleum-contaminated soil as a raw material for asphalt manufacturing is most beneficial since it is sold as a raw material. Incineration is faster a
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Abstract
In this research provide theoretical aspects of one of the most important statistical distributions which it is Lomax, which has many applications in several areas, set of estimation methods was used(MLE,LSE,GWPM) and compare with (RRE) estimation method ,in order to find out best estimation method set of simulation experiment (36) with many replications in order to get mean square error and used it to make compare , simulation experiment contrast with (estimation method, sample size ,value of location and shape parameter) results show that estimation method effected by simulation experiment factors and ability of using other estimation methods such as(Shrinkage, jackknif
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The study deals with the issue of multi-choice linear mathematical programming. The right side of the constraints will be multi-choice. However, the issue of multi-purpose mathematical programming can not be solved directly through linear or nonlinear techniques. The idea is to transform this matter into a normal linear problem and solve it In this research, a simple technique is introduced that enables us to deal with this issue as regular linear programming. The idea is to introduce a number of binary variables And its use to create a linear combination gives one parameter was used multiple. As well as the options of linear programming model to maximize profits to the General Company for Plastic Industries product irrigation sy
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Codes of red, green, and blue data (RGB) extracted from a lab-fabricated colorimeter device were used to build a proposed classifier with the objective of classifying colors of objects based on defined categories of fundamental colors. Primary, secondary, and tertiary colors namely red, green, orange, yellow, pink, purple, blue, brown, grey, white, and black, were employed in machine learning (ML) by applying an artificial neural network (ANN) algorithm using Python. The classifier, which was based on the ANN algorithm, required a definition of the mentioned eleven colors in the form of RGB codes in order to acquire the capability of classification. The software's capacity to forecast the color of the code that belongs to an ob
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Al-Aziz's book was chosen as a subject for research as it is one of the important books in the Islamic world in general and the Shafi'i school in particular and its author Imam Abdul Karim bin Mohammed bin Abdul Karim Al-Rafi's, who in the doctrine of the jurisprudence has made prominent lines and left behind invaluable scientific treasures in the service of religion. Its importance is summarized as follows:
1. Being an explanation of the book (brief) of the argument of Islam Imam Ghazali (God's mercy), one of the five books adopted in Shafi'i jurisprudence.
2. His work is Imam Abu al-Qasim al-Rafii known for the brilliance of the investigation and the power of weighting in the doctrine.
3. It is considered an encyclopedia in Sh
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