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Articles by M. Kheirandish
Total Records ( 2 ) for M. Kheirandish
  E. Montakhabai Nodeh , M. Kheirandish and M.H. Ranjbar
  Predicting the future is always a necessity in everyday life and as a common sphere in several disciplines has been discussed. One of the areas that forecast in it has the particular importance in matters related to financial and economic fields. Present study compared investigates the linear and neural network model ability to predict the returns of listed companies on the Stock Exchange of Tehran. In the present study, with causal correlation method has been done the statistical population includes all companies listed in Tehran Stock Exchange which their information for the period of 2011-2013 is available. Order to prediction from daily stock returns of companies active in the stock and the independent variables net profit to asset, sale asset, the ratio of profit to sale, operating profit to sale, operating profit to gross profit and returns of investments have been used. For linear model from the multivariate linear regression method and for neural network model from the multilayer architecture with back-propagation algorithm has been used. Results of the research showed that both linear and artificial neural network models are able to predict stock returns. But, the accuracy of neural network in this forecast is higher and this shows the superiority of artificial neural network against multivariate linear regression model and artificial neural network capabilities in this forecast is confirmed.
  Q. Behzadiyannejad , S.D. Siadat , M. Kheirandish , B. Tabaraiee , H. Ahmadi , D. Norouzian , S. Najar Peerayeh , M. Nejati and M.H. Hedayati
  Production of effective vaccine formulations is dependent on the availability of assays for the measurement of protective immune responses. Antibody- and complement-mediated phagocytosis is the main defense mechanism against Neisseria meningitidis. Therefore, a newly developed phagocytosis assay based on flow cytometry (flow assay) and the Serum Bactericidal Activity (SBA) assay were using sera obtained from rabbit postvaccination with the Outer Membrane Vesicles (OMVs) of Neisseria meningitidis serogroup B was done in order to evaluation of the potential efficacy of (experimental) meningococcal vaccines. The OMVs were injected intramuscularly into of rabbits with boosters on days 14, 28 and 42 after the primary immunization. Phagocytic function of and intracellular oxidative burst generation by rabbit PMN, against Neisseria meningitidis serogroup B, was measured with flow cytometer (Coulter Epics-XL-Profile USA), using dihydrorhodamine-123 as probes, respectively. SBA titers are given as reciprocal Log 2 values of the dilution giving at least 50% killing of the inoculum measured as colony forming units. The results of SBA titers and quantitative flow cytometric analysis of rabbit PMN function in hyperimmun sera with the OMVs revealed a highly significant increase in opsonophagocytic responses and bactericidal antibody against serogroup B meningococci after 56 day (p< 0.05). Both SBA and opsonic activity are crucial for the protection against meningococcal disease. In conclusion, we have shown a very high correlation between opsonic activity and SBA (r = 0.91). Present results indicated that the OMVs could be as a candidate for vaccine toward serogroup B meningococci.
 
 
 
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