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Articles Related to Arabic

Cognitive Enhancers Derived from Edible Crops

The concept of an effective cognitive boosting nootropic supplement is gaining traction with consumers, neuroscientists and regulators alike and it is therefore unsurprising that scientifically validated Nootropics are highly prized. New research demonstrates edible crops could be useful sources to mine for new nootropics; plant extracts enriched with an array of cognitive enhancing metabolites. There is merit in investigating these plant species. Metadata has identifies consuming specific fruit and vegetables positively affects cognitive function; therefore these same edible crop plants present as opportunities for developing nootropic formulations. This hypothesis is supported by positive data obtained through clinical testing [e.g. extracts of tomato (Solanum lycopersicum), herbs from the Genus Salvia, cocoa (Theobroma), tea (Camellia sinensisor) and coffee (Coffea Arabica). This review will discuss clinically tested cognitive enhancers derived from edible crop species and discuss their use alongside other classes of nootropics.
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Oral Health - Related Quality of Life of Periodontal Patients in a Syrian Sample - A Pilot Study

Periodontal disease is a major oral health problem, in which specific species of bacteria play an important role in its progressing and severity. Because chronic periodontitis is believed to be asymptomatic in its initial stages, it has been suggested that individuals may be unaware of their clinical periodontal status [1-3] and underestimate what treatments are required, as judged by dental professionals [4].
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Programming Scripts for Simple and Complex Paternity Testing based on Open-Source Programming Language from the R Project

Programming scripts were written for the statistical analysis of genetic data from simple cases and complex cases of undetermined paternity. The methods presented here involve algorithms constructed with R, an open-source and increasingly popular programming language used for calculations and statistics; these methods also involve conditional probability analysis, Bayes’ Theorem, and pedigree analysis.
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Editorial Board Members Related to Arabic

Abdel-Badeeh M. Salem

Professor
Department of Computer and Information sciences
Ain Shams University
Cairo-Egypt

Rasha Sayed Hanafi

Associate Professor
Pharmaceutical and Biomedical analysis
German University
Egypt

Eghbal Sekhavati

Health & Treatment network
Iran

Abdel-Tawab H. Mossa

Professor
Pesticide Chemistry Department
National Research Centre (NRC)
Egypt
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