A characteristic of Data Envelopment Analysis (DEA) is to allow individual decision making units (DMUs) to select the factor weights which are the most advantageous for them in calculating their efficiency scores. This flexibility in selecting the weights, on the other hand, deters the comparison among DMUs on a common base. For dealing with this difficulty and assessing all the DMUs on the same scale, this paper proposes using a multiple objective linear programming (MOLP) approach based on scalarizing function for generating common set of weights under the DEA framework. This is an advantageous of the proposed approach against general approaches in the literature which are based on multiple objective nonlinear programming.

Phenotypic correlations between lactation function parameters and characteristics of Iranian buffalo ecotypes estimated by Wood's Gamma function was studied. The lactation function parameters and characteristics were milk production at the beginning 0f lactation (a); slope of the lactation curve up to the peak of milk production (b); slope after the peak of milk production(c); peak time; peak yield and persistency. The phenotypic correlation between milk yield with persistency and (a) were positive and low and positive but with medium values, respectively. The correlation between (b) and (c) with persistency were negative. Positive correlations between milk yield with persistency and peak yield are very important in phenotypic selection or culling animals at the beginning of lactation. Phenotypic trend of milk yield was increasing and it's regression against the time was significant. Phenotypic trend of Persistency and peak time were also increasing and significant.

This paper deals with Bayesian geostatistical prediction under the Matern correlation function which involves a smoothness parameter in addition to the range parameter. In fact, we consider the reference prior for the range parameter and an inverse gamma prior for the smoothness parameter. We then propose an attractive and straightforward Monte Carlo method to sample the posterior distribution of the model parameters and achieve Bayesian prediction. In a sensitivity analysis, the importance of the prior choice is assessed. Since the posterior results greatly depend on the prior hyper parameters, the Monte Carlo EM algorithm is applied to determine their maximum likelihood estimates. Finally, we utilize this procedure in the geostatistical prediction of carbon monoxide concentrations in Tehran.

Introduction: Hyperglycemia is common and a contributing factor to the undesirable outcomes in kidney transplant recipients. This study investigates the relationship of pretransplant blood glucose levels and the occurrence of delayed graft function among kidney transplant recipients without a diagnosis diabetes mellitus before transplantation.Materials and Methods: Eighty-one patients on long-term hemodialysis with no history of clinically diagnosed diabetes mellitus were enrolled in this study. correlation of the occurrence of delayed graft function with age, gender, donor source, underlying cause of kidney failure, insulin resistance, and blood glucose levels before transplantation was evaluated.Results: There was a significant correlation between abnormal glucose metabolism categories and occurrence of delayed graft function (P=.004). Logistic regression analysis showed that fasting blood glucose before kidney transplantation is an independent predictor of delayed graft function immediately after transplantation (odds ratio=1.042, P=.04).Conclusions: Hyperglycemic patients have an increased risk for delayed graft function and should be treated by more potent immune therapy and further restriction of blood glucose regulation in peritransplantation period.

Background: Based on the studies which have been done till now, resynchronization of ventricular contraction results in clinical improvement in patients who suffer from moderate to severe heart failure with intraventricular conduction disturbance. and using this method is increasing in our country. Study in this filed seems to be necessary.Material and methods: Sixty-five consecutive patients with advanced heart failure, NYHA Class III and IV, LV ejection fraction (EF)£35%, QRS³120 were studied before and 3 months after CRT. Mean age was 60, 57 and 8 patients with NYHA class III and IV respectively. All patients received furosemide, spironolactone, carvedilol, ACE inhibitors and angiotensin II –receptors blockers at the optimal tolerated dosage. Mean LVEF was 20.83%. Echocardiographic (Tissue Doppler Imaging), ECG and function class (NYHA) were assessed at baseline before implantation and 3 months after.Result: LV ejection fraction increased +6.8% (21.10±7 vs. 27.93±8.4%, P<0.001). Mitral valve regurgitation severity reduced (P<0.013). Interventricular mechanical delay reduced (53.83ms±18.45 vs. 26.53ms±13.90 P=0.000) and also Intra ventricular mechanical delay reduced (62.53ms±25.08 vs. 45.55ms±13.47, P=0.000). Dilated cardiomyopathic group has more mean changes in LVEF than Ischemic group (+9.06%±7.3 vs. +4.08%±6.5, P=0.01).Conclusion: Biventricular pacing results in significant clinical improvement in patients who have moderate to severe heart failure.