A gracious invitation was extended to us on 9/11/2002 AD, by the University of Tikrit / the Preparatory Committee, for a symposium (Sheikh Daoud Al-Tikriti, and his Scientific Effects), to participate in it.
The symposium was scheduled to be held on the 25th and 26th of March 2003 AD, but God Almighty decreed that our country be occupied, so the Preparatory Committee set another date for the symposium on 10/21/2003 AD.
It was not possible for the symposium to be held until 25-26/4/2004 AD, and many researchers attended, who were assigned to investigate some manuscripts of Sheikh Dawood (may God have mercy on him) or to write about his personal and scientific biography.
And God (Glory be to Him) did not enable us to attend, because we did not complete the completion of the manuscript at that time, due to the large number of our concerns, our scientific and social duties, the lack of security in our country, and the difficulty of documenting some of the quotations quoted by Sheikh Daoud in his explanation of the system, which is called (The masterpiece of loved ones for the guided students), which is Explanation of the Bayquniyah system in the terminology of hadith, by Sheikh (Umar bin Muhammad bin Fattouh, Al-Dimashqi, Al-Shafi’i), d. 1080 AH.
The importance of the system is that it dealt with the definition of thirty-two types of hadith sciences, although Al-Bayquni made them thirty-four types, because he made the individual three types.
Its importance is also evident in that it is an introduction for students of forensic science, helping them to study the science of hadith.
Knowing the types of hadith sciences mentioned in it represents the most important thing that the hadith scholar should know.
Sheikh Dawood Al-Nasseri’s explanation of this system came, showing what constitutes his understanding of the words, structures, and the intentions of the modernists of their terminology, in easy terms, with examples, and mentioning the most prominent works in each art.
Sheikh Dawood relied on the most prominent books classified in the science of hadith, narration and knowledge, and his writing this indicates that he had a good care for the terminology of the hadith scholars and their sciences, in addition to what he acquired from the sciences of language, beliefs, Sufism, and jurisprudence, so he is an encyclopedia of culture, as was the case of most of the scholars of our predecessors (May God Almighty have mercy on them).
We have been keen as much as possible to adjust the text of the manuscript in the most complete and best way, while documenting its various sayings, from their origins or their meanings.
Al-Hajj (Ahmed bin Yaqoub Al-Maatouq), the owner of the manuscript, was kind enough to give us permission to edit it, so may God reward him.
تعد التنمية المستدامة حق للكل البشرية وانها تهدف لتطوير المجتمعات البشرية من كافة النواحي وبشكل دائم وهي تهدف في القضاء على الفقر والجوع وهذه الظاهر ظاهرة منتشرة في العراق اذ ان المواطنين فيه يعشون في حالات تفرقة ودائما هم في حالات حروب اويعيشون في حصار اقتصادي او في اوقات كثيرة يعشون باوقات ازمات مما يجعلهم في فقر دوري ارض لتطبيق هدف التنمية المستدامة الذي ينص على القضاء على ،
يتناول البحث دراسة ظاهرة فنية ترتبط بالاستعارة ارتباطا وثيقًا هي التشخيص (وهي إضفاء الصفات الإنسانية على الجمادات) في شعر شاعر أندلسي هو أبو بكر بن القوطية الحفيد من شعراء القرن الخامس الهجري ، وقد حاولنا رصد هذه الظاهرة في شعره والوقوف على أبعاد هذه الظاهرة وجمالياتها وأثرها في إغناء النص الشعري وتأثيره في الصور البلاغية الجميلة .
In linear regression, an outlier is an observation with large residual. In other words, it is an observation whose dependent-variable value is unusual given its values on the predictor variables. An outlier observation may indicate a data entry error or other problem.
An observation with an extreme value on a predictor variable is a point with high leverage. Leverage is a measure of how far an independent variable deviates from its mean. These leverage points can have an effect on the estimate of regression coefficients.
Robust estimation for regression parameters deals with cases that have very high leverage, and cases that are outliers. Robust estimation is essentially a
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