A qualitative study of the current situation of elderly care in Iran : what can we do for the future?

This study is part of the first author's PhD dissertation (17 Goharinezhad S. Foresight of elderly care in Iran: a scenario approach. PhD dissertation. 2016; Tehran, Iran: Iran University of Medical Sciences. [Google Scholar]) in Iran University of Medical Sciences, School of Health Management and Information Sciences (IUMS_ SHMIS: 65/2014). The authors would like to make special thanks to all participants for their cooperation to this study. The authors would also like to thank all reviewers who helped improve the manuscript.Peer reviewedPublisher PD

Futures of elderly care in Iran : A protocol with scenario approach

This study is the first author’s PhD Thesis, which has been supported by Iran University of Medical Sciences (IUMS_SHMIS: 65/2014). The authors would like to make special thanks to all participants for their kind contributions to this project and are also grateful to Dr. Mohammad Azmal and Dr. Hesam Seyedin for their insightful comments on the earlier manuscript.Peer reviewedPublisher PD

100% screening economic order quantity model under shortage and delay in payment

It is for a long time that the Economic Order Quantity(EOQ) model has been successfully applied to inventory management. This paper studies a multiproduct EOQ problem in which the defective items will be screened out by 0 screening process and will be sold after the screening period. Delay in payment is permissible though payment should be made during the grace period and the warehouse capacity is limited. Otherwise, there will be an additional penalty cost for late payment so the retailer would not be able tobuy products at discount prices.All-units and incremental discounts are considered for the products which dependon the order’s quantity just like the permissible delay in payment. Genetic algorithm (GA) and particle swarm optimization (PSO) algorithm are used to solve the proposed model and numerical examples are provided for better illustrations

Evaluation of Inter-Specific Hybrid of P. atlantica and P. vera L. cv. ‘Badami - Riz-e-Zarand’ as Pistachio rootstock to Salinity Stress According to Some Growth Indices and Eco-physiological and Biochemical Parameters

In order to evaluate the inter-specific hybrid of P. atlantica Desf. and P. vera L. cv. ‘Badami- Riz-e- Zarand’ to salinity stress, a factorial experiment was conducted based on completely randomized design with 0, 60 and 120 mM of salinity levels of sodium chloride, calcium chloride and magnesium chloride (3:2:1) with four replications on ‘Qazvini’, ‘Badami-Riz-e-Zarand’ and inter-specific of P. atlantica Ч P. vera cv. ‘Badami-Rize-Zarand’ rootstocks of pistachio. The results showed that salinity has increased proline content of leaves. Chlorophyll index, relative water content of leaf, leaf area, shoot and root fresh and dry weight, stem diameter and number of leaves were decreased by increasing salinity. Rootstocks responded differently to salinity, so that the most reduction in chlorophyll index, leaf area and leaf number were observed in ‘Badami-Riz-e-Zarand’ rootstock and the least reduction was observed in the hybrid

Diallel Analysis of Yield and It’s related Traits in Sunflower (Helianthus annuus L.) under Well-watered and Water-stressed Conditions

Drought stress is one of the factors which influence sunflower production. Hence, breeding for tolerance to drought stress has become a major focus. In this paper, combining ability, gene action and genetic analysis of several characteristics were studied for five sunflower inbred lines and their ten hybrids (fifteen genotypes). The materials were evaluated in two separate experiments using a Randomized Complete Block Design (RCBD) with three replications in well-watered and waterstressed states and in field condition. Data were analyzed by Griffing’s diallel analysis model 1 (fixed effects) and method 2 (parents and crosses). Combined analysis of experiments revealed significant differences among genotypes for all studied traits. Combining ability analysis revealed that in well-watered conditions, general and specific combining abilities (GCA and SCA) effects were significant for all studied traits except for the leaf number. In water-stressed condition, GCA and SCA effects were significant for all studied traits except for the head and stem diameter. The Griffing diallel analysis showed that the genotype LR4 could be considered as the best combiner with the highest GCA effect for seed yield per plant, number of filled seed, stem diameter and head diameter in the sunflower breeding programs. In both water treatment conditions the cross ‘RHA266xLR4’ showed the highest positive SCA effects and the highest mean value for seed yield per plant

New Load Shedding Method for Dealing with Critical Conditions of Smart Network Caused by Fault-Induced Delayed Voltage Recovery

The phenomenon of Fault-Induced Delayed Voltage Recovery (FIDVR) appears in networks with high penetration of induction motor loads because the increase in requested reactive powers of motor loads after clearing the fault prevents the rapid return of the bus voltage to the pre-fault level. Load shedding is one of the effective ways to deal with the FIDVR phenomenon, which causes the amount of demand to approach the production of reactive power. In this paper, a wide-area load-shedding method is presented, which performs based on network conditions and loads. Since the introduced indicators for determining the locations and amounts of loads to be shed are based on the values of bus voltages, loads currents, and network impedance matrix; therefore, the proposed method can effectively shed the loads and deal effectively with FIDVR. The voltage estimation process is an important tool to predict the voltages at future moments and is defined based on the modified Gauss-Seidel load flow and the three-order model of the induction motor. This tool enables the proposed method to understand the effect of applying load shedding on voltage recovery and prevents the application of unnecessary ones

Increasing the reliability and the profit in a redundancy allocation problem

This paper proposes a new mathematical model for multi-objective redundancy allocation problem (RAP) without component mixing in each subsystem when the redundancy strategy can be chosen for individual subsystems. Majority of the mathematical model for the multi-objective redundancy allocation problems (MORAP) assume that the redundancy strategy for each subsystem is predetermined and fixed. In general, active redundancy has received more attention in the past. However, in practice both active and cold-standby redundancies may be used within a particular system design and the choice of the redundancy strategy becomes an additional decision variable. The proposed model for MORAP simultaneously maximizes the reliability and the net profit of the system. And finally, to clarify the proposed mathematical model a numerical example will be solved. Keywords: Redundancy Allocation Problem, Serial-Parallel System, Redundancy Strategies, MORAP

Genetic Diversity among Iranian Local and Commercial Apple Rootstocks by Using Simple Sequence Repeat Markers

The objective of this research was to evaluate the genetic diversity among twelve apple rootstocks by using 14 simple sequence repeat primer pairs. Generally, 44 alleles were scored at SSR loci. The number of alleles (na) per locus ranged from two to five alleles with an average of 3.14. The maximum effective number of alleles (ne), expected heterozygosity (He), and observed heterozygosity (Hobs) were 2.3, 0.56 and 0.36, respectively. Results showed that the studied genotypes were not in Hardy-Weinberg equilibrium in most of studied loci. The polymorphism information content (PIC) varied from 0.5 to 0.86 which confirmed the effectiveness of SSR markers in determination of molecular polymorphism and characterization of the rootstocks genotypes. Cluster analysis using UPGMA algorithm on the basis of Jaccard’s similarity coefficient classified the studied genotypes into three distinct groups. In this study, three Iranian local rootstocks were located in separate groups

Evaluation of Iranian Native Apple (Malus x domestica Borkh) Germplasm using Biochemical and Morphological Characteristics

In this study, fifty six native apple genotypes from different geographical regions of Iran were evaluated based on 16 different biochemical and morphological characters using augment design. Analysis of variance showed significant difference between studied genotypes. Considering descriptive statistics, there was high level of genetic variation in this plant material. Regarding simple correlation between studied characters, fruit weight as one of the most important item, was positively and significantly correlated with fruit volume, leaf size and canopy axile. Principle component analysis revealed that the first seven principle components (PCs) were accounted 74.7% of the total variation. Cluster analysis using Ward method classified the 56 genotypes into four groups. As regards to clustering pattern, distribution of the cultivars was independent from their geographical distribution. The present study shows that Iranian apple genotypes possess high level of genetic variation that is useful for breeding