The means of communication in the accepted human contexts depend on several modes, beginning with the oldest of which in history, represented by the sign language, the sign and the symbol and ending with it, until countless of them became icons that are circulating between the societies themselves or with their neighbors. These icons are often implied in formations that represent a visual discourse which the sender uses as a means and as a message at the same time to express a certain phenomenon in society or in his human self, and thus the sender or performer or artist, in the end, adopted a visual intermediary in order to position his speech in its entirety and perhaps in a specific part of it, to carry the content of that speech and convey it clearly. The presence of the body in various representations from ancient civilizations until our current age is subject to the formal appearance of that presence and a representative of the performance and intellectual system followed by the artist or producer, and from this simple introduction of the idea of the dominant human body in the visual discourse, whether was embodied or declared its tyranny in absentia, the researcher finds it necessary to search in his total existence in form and substance, and in two sculptors who have dealt with the human body in ways that are almost unique in many of the mechanisms and techniques or in their philosophies and their respective ideologies, namely George Segal and Duane Hanson, who were distinguished by their influential presence in contemporary American sculpture and then world sculpture.
The research included an introduction in which the researcher presents the problem and then the most important objectives, importance and limits, and the definition of the most important linguistic and procedural terms. The researcher moves on to the conceptual framework which consists of two sections: the first one is " the concept of the body as a communicative language in the thought" And the second section is entitled (The technical and performance transformations of the body in the formation of modernity and beyond it), and coming out with several indicators that contributed to the framing and addressing the analysis tools of the research sample, which included four samples of two for each sculptor, which was selected deliberately to represent the research community, and come up with a number of results including:
1. Counting the body at the various intellectual trends and across history, as the mediator and the bearer and the language of the Communicative speech in different societies.
2. The dominance of capitalism, marketing and commodity ideas, especially after entering the United States the formation society and its impact on enterprises that are producing and receiving it. , 3 - the rapid scientific development in various fields contributed to the emergence of contemporary formation, sometimes in the form of those scientific achievements.
The study aims to predict Total Dissolved Solids (TDS) as a water quality indicator parameter at spatial and temporal distribution of the Tigris River, Iraq by using Artificial Neural Network (ANN) model. This study was conducted on this river between Mosul and Amarah in Iraq on five positions stretching along the river for the period from 2001to 2011. In the ANNs model calibration, a computer program of multiple linear regressions is used to obtain a set of coefficient for a linear model. The input parameters of the ANNs model were the discharge of the Tigris River, the year, the month and the distance of the sampling stations from upstream of the river. The sensitivity analysis indicated that the distance and discharge
... Show MoreIn Incremental sheet metal forming process, one important step is to produce tool path, an
accurate tool path is one of the main challenge of incremental sheet metal forming
process. Various factors should be considered prior to generation of the tool path i.e.
mechanical properties of sheet metal, the holding mechanism, tool speed, feed rate and
tool size. In this work investigation studies have been carried out to find the different tool
path strategies to control the twist effect in the final product manufactured by single point
incremental sheet metal forming (SPIF), an adaptive tool path strategy was proposed and
examined for several Aluminum conical models. The comparison of the proposed tool path with t
Title: Arabic Manuscript, Concepts and Terms and Their Impact on Determining Its Historical beginnings and extension of its existence.
Researcher: Dr. Atallah Madb Hammadi Zubaie.
Bn the name of Allah Most Merciful
The interest in manuscripts and rules of their investigation and dissemination appeared soon, and the speech in editing terms and concepts appeared in sooner time. When looking at the classified books in the Arab manuscripts , we find the books of the first generation did not allude definition for this term , but rather focused on the importance of manuscripts and their existence locations, indexing, care, and verification rules. The reason for this is that the science of Arabic manuscrip
... Show MoreThis research seeks to try to address one of the important issues in society that prevents the state from achieving its social, economic, political and financial goals, represented by the low tax proceeds, through which it can achieve those goals. What is reflected on the tax proceeds, knowing that the General Tax Authority does not take into account the issue of analyzing the opportunity cost of corporate capital as one of the profit indicators when setting the annual controls, which leads to a decrease in the tax proceeds, and therefore the research objective will be to shed light on the importance of adopting the concept of analysis The opportunity cost by the General Tax Authority to achieve a tax proceeds commensurate with t
... Show MoreProblem: Cancer is regarded as one of the world's deadliest diseases. Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. Traditional ways of analyzing cancer data have their limits, and cancer data is growing quickly. This makes it possible for deep learning to move forward with its powerful abilities to analyze and process cancer data. Aims: In the current study, a deep-learning medical support system for the prediction of lung cancer is presented. Methods: The study uses three different deep learning models (EfficientNetB3, ResNet50 and ResNet101) with the transfer learning concept. The three models are trained using a
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