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نوال محمدجواد - Nawal Mohammed Jawad Mohammed Ali Al-Shammaa
PhD - professor
College of Education for Pure Sciences (Ibn Al-Haitham) , Department of Chemistry
[email protected]
Summary

Nawal Mohammad Jawad M0hammad Ali Jawad Al-Shamaa Place and Date of Birth: Baghdad, August 18, 1962 Academic Rank: Professor Date Obtained: September 2, 2018 General Specialization: Biochemistry Subspecialization/Research Course: Biochemistry/Clinical Position: Teaching Work Address: University of Baghdad, College of Education for Pure Sciences - Ibn Al-Haytham, Department of Chemistry Languages: Arabic and English Mobile Email: [email protected] or [email protected]

Awards and Memberships
  1. Member of the Journal of the American Chemical Society (ACS)
  2. Member of the Iraqi Society of Clinical Biochemistry
Research Interests

Advanced Biochemistry, which includes all medical diseases, pathological analyses, and clinical biochemistry, which includes carbohydrates, lipids, proteins, nucleic acids, enzymes, hormones, endocrine glands, diabetes, heart and artery diseases, kidney and liver diseases, and others.

Academic Area

Advanced Biochemistry, which includes all medical diseases, pathological analyses, and clinical biochemistry, which includes carbohydrates, lipids, proteins, nucleic acids, enzymes, hormones, endocrine glands, diabetes, heart and artery diseases, kidney and liver diseases, and others.

Teaching

Advanced Biochemistry, which includes all medical diseases, pathological analyses, and clinical biochemistry, which includes carbohydrates, lipids, proteins, nucleic acids, enzymes, hormones, endocrine glands, diabetes, heart and artery diseases, kidney and liver diseases, and others.

Supervision

Supervising many master's and doctoral students

Publication Date
Sun Jun 01 2008
The Writer Authentication by Using Syllables Frequency
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An approach is depended in the recent years to distinguish any author or writer from other by analyzing his writings or essays. This is done by analyzing the syllables of writings of an author. The syllable is composed of two letters; therefore the words of the writing are fragmented to syllables and extract the most frequency syllables to become trait of that author. The research work depend on analyzed the frequency syllables in two cases, the first, when there is a space between the words, the second, when these spaces are ignored. The results is obtained from a program which scan the syllables in the text file, the performance is best in the first case since the sequence of the selected syllables is higher than the same syllables in

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