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.
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].
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.
Editorial Board Members Related to Arabic

Abdel-Badeeh M. Salem
Professor
Department of Computer and Information sciences
Ain Shams University
Cairo-Egypt
Department of Computer and Information sciences
Ain Shams University
Cairo-Egypt

Rasha Sayed Hanafi
Associate Professor
Pharmaceutical and Biomedical analysis
German University
Egypt
Pharmaceutical and Biomedical analysis
German University
Egypt