The language that consists of only twenty-eight letters, but it is so broad that we are unable to understand it from all sides and this expansion is mainly caused by imagination, so Arab imagination, whose language goes in all directions And as it always responds to our ears, ancient critics divide imagination into holistic and partial But the language is not limited to these parts only. Do we wonder, where is the structural method of wishing, hope, questions and other methods of all this? In this paper, we try to show the importance of the method of writing in moving imagination in an interactive way, and what is related to human feelings in most, if not all, of its methods By studying the poetry of the believers in the Ahl al-Bayt, peace be upon them, this poetry that is characterized by the sincerity of feelings away from gain and other things that may distort feelings. The research came with an introduction to imagination and its connection to emotion, and then we talked about the structural method with its demand axial and non-demand, and the research ends with the conclusion. The most important findings of the research, as well as the margins of the research, and a list of sources and references are approved therein, and a summary in English.
The aim of this research is to identify the Andalusia poet Abu Izac Al-Zauali , whose most of his poetry and biography had been lost, as well as many Andalusia poets. So this research is hoped to be the first step to shed the light on the poet’s life and poetry and to document his poetry as other writers do. It is also hoped that this research would pave the way , God willing , to the steps of finding more references about this poet .
Key Words: (Al-Zauali, Cordoba, Al-Ruaini choices, Andalusia Poetry , Almuahdi Era).
This paper is specifically a detailed review of the Spatial Quantile Autoregressive (SARQR) model that refers to the incorporation of quantile regression models into spatial autoregressive models to facilitate an improved analysis of the characteristics of spatially dependent data. The relevance of SARQR is emphasized in most applications, including but not limited to the fields that might need the study of spatial variation and dependencies. In particular, it looks at literature dated from 1971 and 2024 and shows the extent to which SARQR had already been applied previously in other disciplines such as economics, real estate, environmental science, and epidemiology. Accordingly, evidence indicates SARQR has numerous benefits compar
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