a. ansari

It is a special issue in the field of professional ethics and in fact it is respect for humanity. The current research was carried out with the aim of providing an ethical-strategic model of a competent characteristic with an organizational agility approach at the University of Medical Sciences of Kohgiluyeh and Boyer-Ahmad province.

The current research was developmental-applied and qualitative. The statistical population of this study was academic experts in human resource management and senior managers of the University of Medical Sciences, 14 of whom were selected by purposive sampling. The researcher's questionnaire tool was made by Delphi and the data was analyzed using Delphi technique.

The Delphi questionnaire was sent to the expert panel members in three stages to get their opinions, which led to the identification of 29 components and 9 after that, and the conceptual model of the research was formed.

The research results showed that meritocracy components such as 1) educational competencies, 2) personal and behavioral competencies, 3) general and professional competencies, 4) cultural and value competencies, 5) management competencies. knowledge and innovation, 6) organizational structural agility, 7) agility in providing educational-research and medical services, 8) human capital agility and 9) technology agility, information technology systems and infrastructures. They are effective in organizational agility.

Setting a xed price to a perishable product convinces customers to purchase fresher products and keep a portion of inventory unsold. However, pricing with respect to the time of expiring date can increase the demand rate of aged products and decrease the amount of waste. Having the price elasticity of demand and its impact on inventory management, especially for perishable products, makes investigating the pricing and inventory problems simultaneously an eective way for reducing costs and increasing the total prot. Pricing itself is considered as a mechanism to attract more customers and improve the retailer's total prot. Nowadays, the rise of health-conscious customers has led to increased demand for fresh products. The demand for these products depends on the selling price, freshness, and the displayed stock level. As the age of the perishable product increases, more attempts are needed to maintain the freshness of these products, increasing the holding cost over time, i.e., the older the product, the higher the holding cost. Due to dependence of demand rate on displayed stock level, the optimal value of ending inventory is not necessarily zero and another challenge is to decide on what is the optimal inventory level at the end of a replenishment cycle. This research investigates a pricinginventory problem with a multiplicative demand function of price, freshness, and displayed stock level when the holding cost function is linearly time-increasing. A mathematical model is proposed to determine the replenishment cycle time, the ending inventory level, discounted selling price, the economic order quantity, and the time to apply the discount to maximize the retailer's total prot. It is shown that the objective function of type prot maximization is quasi-concave, and a search algorithm is presented based on this. Finally, an example is applied to show the well-dened structure of the model. The sensitivity of some important parameters is analyzed to illustrate theoretical and managerial aspects.

Remanent magnetization is impossible to ignore in many applications of magnetic method including mineral exploration particularly iron ore, geomagnetism, regional investigation, and archaeological measurements. Magnetization vector inversion has made great attention in recent years since both distribution of the magnitude and direction of the magnetization have been obtained, therefore, it is easy to distinguish between different bodies especially when magnetic data are affected by remanent magnetization. In this research, the magnetization vector inversion (MVI) has presented: a 3D magnetic modelling is proposed from surface measurements to obtain magnetization distribution. The equations have solved in data-space least square to reduce computer memory requirements and speed up calculations. The algorithm has included the combination of three weights as depth weighting, distance weighting and compactness weighting in Cartesian direction. The method has been validated with a synthetic example including a dipping dyke and the results are acceptable compare with true magnetic anomaly.

Severe hemorrhage is the leading cause of death in comilitary and civilian trauma. Approximately half of road crash fatalities occur due to severe hemorrhage before hospital arrival. In severe cases of bleeding, the use of agents that accelerate blood coagulation (hemostatic agents) is required. The aim of this study was to review on the hemostatic agents and products, from research to commercial stages, and categorizing them based on the physiology of hemostasis. Moreover, the applications and adverse effects of each category have been reviewed and compared; it can be an important step towards optimal clinical application of products and novel original reasearch design continuing the previous studies.

Literature search was conducted in scientific databases of PubMed, Scopus, Science Direct, SID, Magiran and IranMedex without filtering release date, by combining related keywords including hemostatic agents, bleeding, dressings and trauma. The abstracts were screened by two reaserchers independently to select the appropriate studies.

In this study, according to the basics of blood coagulation, the hemostatic agents and products were classified into five groups based on the mechanism of action including: (1) coagulants and procoagulants, (2) the concentrators of coagvlant factors, (3) mechanical cougulaton substrates, (4) physiologic coagulants and (5) chemical coagulants. The mechanism of action, applications, and side effects have been compared in each category.

Each hemostatic product can be more effective in special situations, in military and civilian trauma, due to their potency and mechanisms of action.

Prioritization and selection of sample areas from the whole nature is necessary to protect biodiversity. The main purpose of this study was to evaluate the development of a network of conservation areas in Markazi province using landscape metrics. For this purpose, we used MaxEnt, Marxan, Fragstat softwares and eight conservation criteria. Results were compared by using simulated sorting, greedy, best and max rarity algorithms and different landscape metrics. Maximum entropy method was used to model the wildlife habitats. The results of different protection scenarios showed that a 30% conservation target with a Boundary Length Modifier (BLM)of 30 is the most appropriate option. The simulated sorting algorithm provided  more acceptable results in all cases. Overlaping  the selected protection areas with the map of protected areas in Markazi province showed that only two protection criteria, out of the 8 selected criteria, are successful in providing the 30% protection target, which is not efficient in terms of achieving protection goals. In most scenarios, the overlap of the selected protection networks with the existing protected areas are less than 31.45%.Results of landscape metrics showed that the distance between conservation areas varies. The diversity and abundance  of the conservation areas are low. . Therefore, the conservation areas in Markazi province are among the vulnerable ecosystems with high fragility.

Adequate knowledge about suitable habitats for wildlife is essential to prevent habitat destruction and extinction of species and for their conservation and management. The Eurasian lynx is one of the mostly distributed cats in Asia. In this study, we applied an ensemble habitat suitability modeling approach, using ten predictor variables to model Eurasian Lynx’s habitat suitability in Saveh Zarandieh Kharaghan Area, Markazi Province. Due to the high value of the area under the curve index (AUC > 0.9) for Maximum Entropy, Random Forest, Boosted Regression Tree, and Generalized Linear Model, these models were used to produce the final distribution model of the target species. Based on the ensemble model, 53.22% of Saveh Zarandieh Kharaghan Area were identified as suitable for this species. According to the results, distance to residential areas, distance to river and availability of prey were identified as the most important variables, affecting the distribution of Eurasian Lynx. This study indicated that the Eurasian Lynx habitats need more protection.

In this paper, numerical simulation of the convection heat transfer in micro-channel heat sinks is investigated. The main objective of this research is to study the effect of diameter, distance between fins and fins height, as well as the inlet fluid velocity on the average temperature fins, average temperature of fluid at outlet, temperature distribution in longitudinal direction of the micro-channel and heat flux passing fins. For this purpose, the cooling fluid flow passing through a micro-channel heat sinks with bar fins which have the elliptical cross-section and placed in a linear arrangement is simulated using a finite volume method. Simulation results indicate that changes in diameter and distance between the fins as well as the velocity of the inlet fluid have a significant effect on the heat transfer rate of the heat sink, but the temperature variations due to the change in the height of the fins are low.

The genus Ephedra (Ephedraceae) consists of about 40 species of mostly shrubs and rarely small trees around the world. In the present study, the essential oil (EO) diversity and genetic relationships were investigated in six Ephedra species from Iran using Random Amplified Polymorphic DNA (RAPD) markers.

Theplants were collected from two different provinces; Azarbayjan (north-west) and Khorasan (north-east) of Iran. The EOs were obtained by hydro-distillation and analyzed by GC and GC/MS. The DNA was extracted from the aerial parts of the plants using a Qiagen Dneasy Plant Mini Kit. Amplification was performed using decamer RAPD primers.

A total of 187 bands were scored and used for the analysis of genetic distances. Genetic distance values ranged from 0.25 to 0.95.The analysis showed the highest genetic diversity (25%) between E. foliata with other species. Ephedra foliata formed a distinct group. Ephedra strobilacea was found to be the most similar to E. sarcocarpa (male).

High genetic and EO diversity was demonstrated in this genus which should be further studied in order to make more efficient use of the species and considering relevant conservation programs.

later, until the end of 20th century, customer satisfaction and loyalty were just a slogan. Nowadays, there are a lot of efforts for improving the tools for quality management and extending the customer orientation culture by researchers, experts and managers of organizations. This issue improves that loyalty is the most important criteria for determining the organizations’ success and increasing the benefit which can be obtained by ethics and professional behavior. this research, according to its goal, is an apply research, and as data collection point of view (for validating the hypothesis and questions) is descriptive and is from regression branch. The data used are collected form 150 customers of branches of Bank XYZ in Tehran and the presented model has been tested by t-test examine. statistical analysis shows ethics and professional behavior affects the loyalty of customers and there is a significant relationship between them. this research shows loyalty can be shaped from ethics and professional behavior. Between the recognized factors, confidentially has the most relationship with loyalty.

Mobile technology and mobile learning are considered as important and impressive factors in earning the organizational competencies and achieving competitive advantages and customer loyalty. The purpose of this study is to evaluate the role of mobile technology in customer loyalty. The Mellat bank mobile services are entering a new transition period. In response, the banking industrial is shifting its strategic focus away from attracting new customers, towards retaining existing customers through the promotion of customer loyalty. This paper investigates how mobile learning and the customer satisfaction influence customer loyalty. The adjustment effect of the mobile learning on customer satisfaction and customer loyalty is also analyzed.This study will also examine how mobile technology and mobile learning, affect both on improvement customer loyalty. The population of the study is Mellat bank. Results indicate that mobile learning support the customer satisfaction, and have a direct and positive effect on that. It also effects on improvement of mobile learning which allows us to reach the superior customer loyalty. Such mobile technology is due to the mobile learning. Actually, this article proposes an integrated model covering a variety of factors which influence mobile learners satisfaction, and show us how to track and evaluate customer’ satisfaction and further strengthen the m-Learning system implementation.

Snake venoms contain a rich variety of factors which affect blood coagulation. There have been few reports on the anticoagulant activity of the venom of different cobras, but no such observations have been made on the Iranian cobra, although a procoagulant factor has been described. In this study an anticoagulant factor has been purified from the venom of Naja naja oxiana using gel filtration followed by isopycnic ultracentrifugation with 30% KBr. The factor was a glycoprotein with a molecular weight of 45.36 kDa and increased plasma recalcification time by 224 sec which was 7.7 times greater than the activity of crude venom.