DUAL job holding is widespread in Iran's labor market, 18% of work force are holding second job in 1993, which increased to 19% in 2003. Using a rich three years panel data-set of socioeconomic characteristics of Iranian households, the article aims to examine the determinants of DUAL job holding across the indiviDUALs who have participated in the labor market. Since the issue of DUAL job holding is the result of a two SELECTION processes by the indiviDUALs, we apply a DUAL SAMPLE SELECTION technique in the econometric analysis, which is based on the Tunali (1985). Our findings explore that age, gender, marital status, education are the main determinants of work hours in the first job, and wage rate in the first job, gender and age are the main driving forces of the second job holding probability.

The existing theoretically derived order SELECTION criteria for autoregressive (AR) processes have poor performance in the finite SAMPLE case. In this paper, the least-squares-forward (LSF) is considered as the AR parameter estimation method, and new theoretical approximations are derived for the expectations of resiDUAL variance and prediction error. These approximations are especially useful in the finite SAMPLE case and are derived for AR processes with arbitrary statistical distributions. New order SELECTION criteria for AR processes are derived using these approximations. In a simulation study, the performance of the proposed criteria relative to other criteria is examined in the finite SAMPLE case. Simulation results show that the performance of the proposed criteria is much better than the other theoretically derived criteria.

The aim of this study was a strain-improvement program for Trichoderma reesei PTCC 5142 by using a combination of UV light and NTG (N-methyl-N'-nitro-N-nitrosoguanidine) for enhanced cellulase production. Following mutagenesis after several rounds, mutant A6: 2 was selected from a total of 6500 colonies. Results obtained after 4 days were: Enzyme activity 1.26 U/ml and 0.82 U/ml for exoglucanase and endoglucanase, respectively. The comparative results showed increased production exoglucanase and endoglucanase by mutant A6: 2 than Trichoderma reesei PTCC 5142 to amount 130% for exoglucanase and 156% for endoglucanase.

This paper proposes a family of robust counterpart for uncertain linear programs (LP) which is obtained for a general definition of the uncertainty region. The relationship between uncertainty sets using norm bodies and their corresponding robust counterparts defined by DUAL norms is presented. Those properties lead us to characterize primal and DUAL robust counterparts. The researchers show that when the uncertainty region is small the corresponding robust counterpart is less conservative than the one for a larger region. Therefore, the model can be adjusted by choosing an appropriate norm body and the radius of the uncertainty region. We show how to apply a robust modeling approach to single and multi-period portfolio SELECTION problems and illustrate the model properties with numerical examples.

Quantitative genetic theories based on infinitesimal model have been very successful in selecting the best animals in the last century. One of the methods based on IFM that has been used widely in quantitative genetics is best linear unbiased prediction (BLUP). Despite, because of the limited amount of genetic material and finite number of loci for each trait some infinitesimal models assumptions can be violated. Since 1970, molecular genetics has opened this black box by mapping the single genes affecting the quantitative traits. Therefore in the past 15 years, the major effort in animal breeding has changed from quantitative to molecular genetics with emphasis on marker assisted SELECTION (MAS).However, results have been modest. In 2001, based on a computer simulation study, genomic SELECTION as markers covering the whole genome was proposed as a variant of MAS. Simulated and real results have been shown that the breeding values could be predicted with higher accuracy in genomic SELECTION than traditional SELECTION. According to expert assessments, genomic SELECTION makes it possible to save 92% of the funds spent on traditional SELECTION and it is twice as efficient as the latter. However, there is a long way for reaching to phenotype from genotype; nevertheless, new technologies such as genomics, transcriptomics, proteomics and metabolomics can be useful in this way.

We extend the method of adaptive two-stage sequential sampling to include designs where there is more than one criteria used in deciding on the allocation of additional sampling e ort.These criteria, or conditions, can be a measure of the target population, or a measure of some related population. We develop Murthy estimator for the design that is unbiased estimators for the population mean, and propose another, more efficient, estimator. We investigate asymptotic properties of this estimator. We use a simulation study to investigate design properties of the multi-criteria adaptive stratified sequential sampling scheme and also some estimator properties under the design.

Mate SELECTION is one of the most important decisions made by indiviDUALs during their lives. The purpose of this study was to examine the validity, reliability and factor structure of Schwarz and Hassebrauck Mate SELECTION Criteria Inventory (2012) in Iranian culture. The study SAMPLE was consisted of 486 indiviDUALs who were selected among university students through a partial sampling. The participants completed the Mate SELECTION Criteria Inventory (MSCI) and the Mate SELECTION Criteria Priority Questionnaire. The results of the confirmatory factor model showed that the 9-factor model of Mate SELECTION Criteria Inventory (MSCI) had an appropriate fit in Iranian SAMPLE. The value of Cronbach’ s Alpha of the factors ranged between 0. 51 and 0. 91, and it was between 0. 53 and 0. 72 using retest method with an interval of 1 month. The correlation among the factors of MSCI and the factors of Mate SELECTION Priority Questionnaire was positive and significant. The results of the study show that the most important factors of mate SELECTION in Iranian culture are trustfulness, kindness, and understanding respectively.

This paper presents a modified nine switch inverter with two inputs and two Zsource networks. This inverter has two DC inputs and two AC outputs. Input DC voltages can be boosted to the required level. Amplitude, frequency and phase of AC output voltages can be controlled, independently. The proposed converter can be used in applications with two unregulated DC sources, which require feeding two independent loads. Compared to the conventional structure, the proposed converter requires reduced number of semiconductor switches hence improved converter reliability and less volume. While the authors have already presented a similar inverter (single z-source network DUAL-input DUAL-output inverter) with the above features, new inverter has some differences in the topology, control strategy and operation. In this paper, a new control strategy of space vector modulation for the new inverter is proposed. Also a new switching method utilizing carrier-based modulation concept is presented for both DUAL (proposed) and single z-source network DUAL-input DUAL-output inverters. Performance of the proposed inverter is verified by simulation and experimental results.