This research includes the study of dual data models with mixed random parameters, which contain two types of parameters, the first is random and the other is fixed. For the random parameter, it is obtained as a result of differences in the marginal tendencies of the cross sections, and for the fixed parameter, it is obtained as a result of differences in fixed limits, and random errors for each section. Accidental bearing the characteristic of heterogeneity of variance in addition to the presence of serial correlation of the first degree, and the main objective in this research is the use of efficient methods commensurate with the paired data in the case of small samples, and to achieve this goal, the feasible general least squares method (FGLS) and the mean group method (MG) were used, and then the efficiency of the extracted estimators was compared in the case of mixed random parameters and the method that gives us the efficient estimator was chosen. Real data was applied that included the per capita consumption of electric energy (Y) for five countries, which represents the number of cross-sections (N = 5) over nine years (T = 9), so the number of observations is (n = 45) observations, and the explanatory variables are the consumer price index (X1) and the per capita GDP (X2). To evaluate the performance of the estimators of the (FGLS) method and the (MG) method on the general model, the mean absolute percentage error (MAPE) scale was used to compare the efficiency of the estimators. The results showed that the mean group estimation (MG) method is the best method for parameter estimation than the (FGLS) method. Also, the (MG) appeared to be the best and best method for estimating sub-parameters for each cross-section (country).
Using Some Estimation Methods for Mixed-Random Panel Data Regression Models with Serially Correlated Errors with Application
FGLS estimation method
mixed-stochastic parameter regression model
first-order serial correlation
(MG) estimation method
Publication Date
Sat Dec 01 2012
Journal Name
Advances In Bioresearch
Cytotoxicity of Miltefosine against Leishmania majorPromastigotes
Leishmaniasis has poor vaccination trials and the available drugs have side effects on patients. Therefore
development ofnew chemicals is important for public health. Miltefosine is the first drug used for oral treatment of visceral leishmaniasis.Previous studies approved that miltefosine is an effective treatment against visceral leishmaniasis
the visceral form ofLeishmania
and also on L. major
the cutaneous form of Leishmania. Here
we investigated the in vitro cytotoxicity ofmiltefosine on the procyclic promastigotes forms of L. major. Different concentrations of miltefosine were investigatedagainst the flagellated form of L. major
and results showed that miltefosine has inhibited the in vitro proliferation of theparasite
approving the cytotoxic effect of the compound on Leishmania
EC50 was determined after 24 hours exposure forthe drug and it was 1.54 μM. Our findings indicate that miltefosine has a cytotoxic effect on the insect stage of the old worldL. major and can be a new anti-Leishmanial drug
Publication Date
Mon Nov 01 2010
Journal Name
Al-nahrain Journal Of Science
Chemical Elements Diffusion in the Solar Interior
The standard solar model and equation of state have been used to study relative diffusion of Hydrogen and Helium in the present time for solar interior
as a function of distance and depth from the center of the star. The effects of temperature and density on diffusion velocity for these chemical elements have been explaned.
It is found that heat flow which is arising from these reactions leads to an increase in helium diffusion velocity
while the temperature and density leading to a decrease in Hydrogen diffusion velocity. This means that Hydrogen behaves inversely with that for helium does through these reactions. Accordingly
diffusion percentages for Hydrogen
Helium and other Heavy Elements could be determined for the main sequence stars and white dwarf stars.