This study is marked by: The ignorant poem and body language
Its main objective is to reveal the manifestations of this language in the text mentioned, and accordingly, the sieve poem has been read semantic (semantic) and hermeneutic, revealing the poet's ability to employ symbols and signals (body language) in the poem chosen for this purpose; The existence of such language in pre-Islamic poetry. After a long reflection and reading, the signs and symbols of the physical movement of the body, and its feminine and aesthetic manifestations were identified, and this was achieved through the use of modern critical methodologies that directly affect this language. The study consisted of an introduction and three topics, followed by the conclusion of the most important results, and then a list of sources and references.
The most important results were as follows:
• This poem, and the like, is a non-rejection of contemporary theories of criticism, and this is proved by this study, the text ignorant text is committed to the technical and aesthetic standards required by human texts.
• In the poem there is a clear synergy between non-linguistic and linguistic signs, such as facial expressions, hand movements, head, tones, exhales, and dress. These ensuing bodily movements produced a series of symbols and connotations.
Reading the body language in the poem was based on some functional analysis of the members. Finally, the study recommends the need to intensify modern monetary efforts directed towards the ignorant text, because it is a text carrying a flood of signals that contribute to the reproduction of this text
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As the process of estimate for model and variable selection significant is a crucial process in the semi-parametric modeling At the beginning of the modeling process often At there are many explanatory variables to Avoid the loss of any explanatory elements may be important as a result , the selection of significant variables become necessary , so the process of variable selection is not intended to simplifying model complexity explanation , and also predicting. In this research was to use some of the semi-parametric methods (LASSO-MAVE , MAVE and The proposal method (Adaptive LASSO-MAVE) for variable selection and estimate semi-parametric single index model (SSIM) at the same time .
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