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Urmia Lake and its surroundng wetlands have been severely affected by recent droughts (1998–2003) and a considerable decrease in inflow has affected lake ecosystem components. Integrated ecosystem-based management is a useful managing tool for the wise use and biodiversity conservation of wetlands. In the process of developing an integrated ecosystem-based management model for Urmia Lake, the identification of key stakeholders is of primary importance. In this research, stakeholder analysis is used as an effective tool for establishing collaborative management in the Urmia Lake catchment in terms of the following parameters and objectives: almost all stakeholders receive multiple benefits from Urmia Lake, either directly or indirectly; almost all stakeholders also cause impacts on the lake ecosystem, many of which result from activities that take place in areas located within in the Urmia catchment but far from the lake. In general, the stakeholders who receive the most benefits seem to cause the lowest impact (for example, Environmental groups), while those who receive fewer benefits may have larger impacts (for example, water resource managers). Recognizing that all stakeholders affect the lake in one way or another is an important concept that promotes the ethic that future management of the Lake should regarded as a shared responsibility between all stakeholders.

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The purpose of the paper was to design a sustainable leadership model in crisis response from COVID-19 for resilience in food industry jobs of Guilan Province. This research in the field of interpretive paradigm is a qualitative research of an inductive approach, and it is based on Grounded Theory.The statistical population is the managers of line and staff departments in companies and food production factories of Guilan province. In this study, purposeful sampling was used to select the sample. According to the saturation rule, this was achieved by using 15 interviews, and for more confidence, the interview was continued until the 20th. Data were analyzed in three stages of open, axial and selective coding to classify concepts and categories. Core category was capacity building for sustainable leadership in the crisis response from COVID-19 and in three foundational, motivational measures and evaluation and control and causal conditions, context, intervening conditions, strategies and consequences at three levels of customers, employers and organizations were and the final model was presented. Managers' practices in crisis situations play a pivotal role in identifying opportunities, threats, and strengths and weaknesses, and managers must have a strong link between fundamental, motivational measures, and evaluation and control in order to effectively implement strategies in crisis. The results of research in the field of crisis response from COVID-19 in food industry jobs will present theoretical innovations and help employers, researchers in the field of food industry to better understand the pattern of sustainable leadership in the coping of the crisis.

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The importance of the study of Knowledge Active Forgetting (KAF) is generally described. In this paper, in order to create a comprehensive definition, different definitions of organizational forgetting and knowledge active forgetting presented in the literature, have been reviewed. In addition, key concepts and characteristics that should be considered in the definition of KAF have been extracted. Based on this, concept KAF as an intentional and systematic activity is dependent on the value of knowledge manages. Then, in order to analyze the relationship between KAF and knowledge stickiness to person and organizational context, we gathered qualitative rich data by case study as one of the qualitative research methods. Based on the results of data analysis it can be expressed that by increasing stickiness of knowledge to person and organizational context, the resistance to process of KAF is increased. As a result, organization will be allocated more time and effort in order to manage old and obsolete knowledge. The results of this paper can help managers of organizations to manage their old and obsolete knowledge according to the level of knowledge stickiness to people and organizational context.

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In this study, a microgenerator is designed to supply the energy needed for electrical circuits of a MAV using piezoelectric materials. For this purpose, a composite airplane wing including all structural elements such as the ribs, spars and skins was designed in COMSOL multiphysics software. On the spar of this wing, a piezoelectric piece is modeled. The wing is modeled as a cantilever beam that its end is excited in an oscillatory manner with given frequencies and amplitudes. During the oscillation, the stress and strain of the wing elements are obtained using the finite element method and the amount of the generated voltage is calculated by coupling the piezoelectric governing equations with the strains. Next, an experimental model is created with the same characteristics of the numerical model and tested. The results of the numerical solution are compared with the results of the experimental tests for the verification. Afterwards, the effects of parameters such as the aspect ratio, the size of piezoelectric materials and the spar thickness on the generated voltage are studied. Finally, the results have been discussed.

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The purpose of this research is to identify possible failures modes in the process of producing Kurdistan sugar factory. In this research, firstly, the Process map of the production process by using the IDEF0 modeling logic was extracted accurately in order to schematically analyze all the aspects and processes of sugar production from raw sugar. Then, in the form of teamwork and at various expert meetings, 49 major and potential failures were identified in all processes and activities of the sugar production process. In the following sessions, the failure severity, the probability of occurrence of failures and the probability of error detection were determined. Using the RPN (risk priority number) was extracted for each failure. In the following, the root causes of the 24 priority failures were determined by FTA, and due to the causes of the errors, suitable solutions to reduce the effects of failures were documented. Finally, the origins of process failures were analyzed.

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In order to investigate the Aflatoxin B₁ (AFB₁) removal ability of Brevibacillus laterosporus (Bl), 125 male Japanese quails aged 21-day-old were divided into 5 experimental groups with 5 replicates of 5 birds each. The experimental groups were control (basal diet), Bl (basal diet+10⁸ cfu Bl mL^-1), AFB₁ (basal diet+2.5 mg AFB₁ kg^-1), AFB₁+Bl (basal diet+2.5 mg AFB₁ kg^-1 and 10⁸ cfu Bl mL^-1), and AFB₁+Improved Milbond-TX^® (basal diet+2.5 mg AFB₁ and 2.5 g Improved Milbond-TX^® kg^-1). The AFB₁ decreased hematocrit (P= 0.003), red blood cells (P< 0.001), and white blood cells (P= 0.012) compared to the control while Bl probiotic improved those parameters. The highest relative liver and heart weight and lowest foam production and relative weight of bursa of Fabricius were observed in AFB₁ group (P< 0.05). However, the relative weight of bursa of Fabricius and cloacal gland of birds fed Bl were similar to those in the control group. The low oxidation stability of meat samples resulting from the use of AFB₁ improved due to use of Bl probiotic (P< 0.001). The ileal population of Escherichia coli increased in AFB₁ group while the lactic acid bacteria decreased. This condition was reversed due to administration of Bl probiotic (P< 0.001). This study clearly showed that indigenous Bl probiotic could be effectively used to lessen the negative effects of AFB₁ on meat quality and microbial ecosystem of growing quail chicks.

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The costs of retaining an existing customer are one fifth of the costs of acquiring a new customer for a firm. This statement is considered as a predominant notion in marketing. According to this notion, existing customers switching of a firm leads to create lots of costs for that firm. Therefore, the present study has been conducted with the aim of finding the causes of the switching intentions and influential factors on the customers switching intentions in Iran Banking Industry.
This study is a descriptive-survey research carried out on Iran Banking Industry. 397 customers from five selected banks in Tehran were chosen for this research. In order to examine and analyze the [R1] data, Structural Equation Modeling (SEM), Confirmatory Factor Analysis (CFA) and one-way Analysis of Variance (ANOVA) have been used.
“Satisfaction”, “trust”, “loyalty” and “switching barriers” are considered as the main factors weakening “switching intention”. The findings confirmed that the variables of satisfaction, trust and loyalty have significant negative impacts on the switching intention, but the impact of the switching barriers on the switching intention in Iran banking was not significant. The present research has been conducted only on banking services industry and only in Tehran which reduces the generalizing effect of the study. Moreover, quantitative analysis methods were used in order to evaluate the subjective factors such as customer switching behavior.
 
 



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