Hassan, S. Z., T. A. Gheita, S. A. Kenawy, A. T. Fahim, I. M. EL-Sorougy, and M. S. Abdou,
"Oxidative stress in systemic lupus erythematosus and rheumatoid arthritis patients: relationship to disease manifestations and activity",
International Journal of Rheumatic Diseases, vol. 14, issue 4, pp. 325–331, 2011.
Nabil, E., A. Badr, and I. Farag,
"A P System Design Using Clonal Selection",
Universitatis Babeş-Bolyai Informatica,, vol. LVI, issue 1, 2011.
AbstractAbstract. Membrane Computing is an emergent and promising branch of Natural Computing. Designing P systems is heavy constitutes a difficult
problem. The candidate has often had an idea about the problem soluti onform. On the other hand, finding the exact and precise configurations
and rules is a hard task, especially if there is no tool used to help in the designing process. The clonal selection algorithm, which is inspired from
the vertebrate immune system, is introduced here to help in designing a P system that performs a specific task. This paper illustrates the use of
the clonal selection algorithm with adaptive mutation in P systems design and compares it with genetic algorithms previously used to achieve the
same purpose. Experimental results show that clonal selection algorithm surpasses genetic algorithms with a great difference.
E.Nabil, A.Badr, and I.Farag,
"A P System Design Using Clonal Selection Algorithm",
Universitatis Babe{\c s}-Bolyai Informatica,, vol. LVI, pp. 11-24, 2011.
AbstractAbstract. Membrane Computing is an emergent and promising branch of Natural Computing. Designing P systems is heavy constitutes a difficult
problem. The candidate has often had an idea about the problem soluti onform. On the other hand, finding the exact and precise configurations
and rules is a hard task, especially if there is no tool used to help in the designing process. The clonal selection algorithm, which is inspired from
the vertebrate immune system, is introduced here to help in designing a P system that performs a specific task. This paper illustrates the use of
the clonal selection algorithm with adaptive mutation in P systems design and compares it with genetic algorithms previously used to achieve the
same purpose. Experimental results show that clonal selection algorithm surpasses genetic algorithms with a great difference.
Ashour, S. K., E. - S. A. Elsherpieny, and A. Y. Yassmen,
"Parameter Estimation for Kappa Distribution with Four-Parameter Under Type II Censored Samples",
Australian Journal of Basic and Applied Sciences, vol. 5, issue 7, pp. 174-180, 2011.
AbstractIn this paper, maximum likelihood estimators (MLE's) for the unknown parameters and the corresponding asymptotic variance covariance matrix of the four-parameter kappa distribution are obtained under type II censored sample. Results obtained by Winchester (2000) in the complete case may be considered as a special case from present results. An illustrative example is carried out by using a simulated data.
kashif, M. T., A. E. - D. M. S. Hosny, M. A. E. - H. Ramadan, and A. K. M. Ahmady,
"Parameters Affecting Detectability of Staphylococcus Heteroresistance to Different Antibiotics",
Journal of Applied Sciences Research, vol. 7, issue 6, pp. 975-979, 2011.