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In knowledge era having efficient and competent knowledge workers is one of the most critical issues in both human resource management and knowledge management which help facilitating different purposes such as selection, recruitment, promotion, learning, job description and finally better performance. At the first step the competencies of knowledge workers identified according to existing literature. Then we analyzed the sub competencies of each category. According to literature 6 knowledge worker competencies indices have been chosen which were ability, skill, knowledge-based activities, structure, work style, interesting and value. Data gathered by 2 level of questionnaire which the first level was choosing the knowledge worker competencies then the second one was assessing the competencies in 3 job positions. There were 32 personnel which participate in this survey. To be able to assess the knowledge worker competencies and analyzing the findings we used the fuzzy TOPSIS method. Contribution of this paper is considering both knowledge based jobs specifications and competencies. Also it is important that we propose a model with specific steps to capture competencies and make it practical in different human resource management functions through assessing knowledge workers condition and comparing it with ideal and finally presenting the best possible knowledge workers and some methods for improving other knowledge workers.  

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Aims: This paper aimed to report the development and validation of the Coronavirus Pandemic Anxiety Scale, for assessing COVID-19-related anxiety.
Instrument & Methods: This is a methodological and psychometric study, we developed a 7-Item Generalized anxiety disorder of COVID-19 scale to measure symptoms of anxiety related to the COVID-19 pandemic to help identify people who might need mental health services. In developing the generalized anxiety disorder of COVID-19 scale items, we considered a previous theory and research on anxiety symptoms and symptoms reported in Iran. The scale was validated in the Razavi Khorasan (N=500).
Findings: The CVR in this study for the total scale was 0.81 indicating a satisfactory result. Also, the CVI for the scale was0.78, and the scale had good content validity. Confirmatory factor analysis showed a good fit for the seven-factor model. generalized anxiety disorder of covid-19 scale showed good internal consistency.
Conclusion: The results support the viability of generalized anxiety disorder on the COVID-19 scale as a tool to identify individuals experiencing COVID-19-related anxiety.
 

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Abstract: Labyrinth spillways as appropriate hydraulic structure to pass PMF discharge have been considered. To replace existing spillways of reservoirs which in terms of capacity they are not hydraulically suitable, these types of spillways are recommended.  In a certain width with similar head these spillways with nonlinear crest can pass greater discharges compare to spillways with frontal crest. The Labyrinth spillway is a type of hydraulic structure which can be used for the existing and new reservoirs. This structure is considered for hydraulic engineers as a good alternative to keep the water level of the reservoirs in an acceptable position when there is a limit on the maximum level of the water surface of the reservoir. The plan shape of the labyrinth spillway consists of broken lines in the form of triangular, trapezoidal, semi circular and rectangular with several repeating cycles. The main objective of using this type of spillway is to increase the flow capacity of the reservoir while keeping the crest and the water surface of the reservoirs in a reasonable level. The use of this type of reservoir goes back to the early 1920’s; however, the real studies and research in this field started form 1968. The majority of researches in this field are for those with triangular or trapezoidal in plan. The most advantages of using labyrinth spillway in the reservoirs and channels are as follows: 1- If the width of the spillway or channels cannot be chosen enough wide due to upstream or downstream site condition; 2- If the maximum level of the water in the reservoir during the flooding season is limited; 3- If it is desirable to provide larger water storage of the reservoir by making the crest level of the spillway higher without causing floodplain of upstream lands during high inflow to the reservoir; 4- If the capacity of the existing spillways are not large enough with respect to current standards of dams safety; 5- It is more economical due to the need of smaller discharge channel downstream of the spillway; and 6- If the reservoir needs to have spillways with the gates to provide larger amount of water storage, in the case of labyrinth spillway the needs of the gates can be eliminated which is very advantageous both in terms of primary costs and maintenance costs. In this study by considering various angles of walls and lengths of nose different types of trapezoidal labyrinth spillways were designed. Applying Flow-3D software which is analytical software to solve equations of flow domain passed over spillway based on Eulerian viewpoint, numerical models were constructed. In order to model turbulence, the K-ε model in RNG state was used. Also to identify position of free surface profile, the VOF method was applied. To verify the results, experimental data of Tullis and Amanian (1995) was employed which the model results showed good agreement with the experimental data. Passing various discharges over the spillway variation of discharge coefficient was studied. It was showed with increase in length and angle of the spillway wall in flow direction the discharge coefficient would increase which is due to less interaction between the flow layers. This increase in small angles due to the reduction in over lapping layers is a considerable loss. At the end based on the obtained results a procedure to design a trapezoidal labyrinth spillway with choosing the angle of wall along the length of the nose was developed.    

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In recent years, Iran has experienced high level depreciation of the Nominal Exchange Rate (NER). The ultimate effects of such depreciation on Iranian families’ welfare and income distribution have been a challenging issue among policymakers and researchers. Accordingly, this study evaluates the economic effects of NER depreciation on the rice market, using spatial price equilibrium model. The model was calibrated for the base year 2010 and was executed using GAMS programming language and was solved by the PATH solver. The results suggested that decreasing the NER would be detrimental. Social welfare is adversely affected by depreciation of the NER. This shock would also decrease real and per capita income and increase slightly the incidence, the gap, and severity of poverty. Also, the regional effects were found to vary, depending on being a net exporter or a net importer region. Overall, this study contributes to previous studies by considering income effects and import exemptions in the model. 

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Based on the seismic design, energy absorption by plastic deformation is necessary to prevent structures from collapsing during a severe earthquake. Therefore, estimating the behavior of structures to understand their response to earthquakes is particularly important. Seismic loads applied to structures are more significant than forces applied during design. This reduction in design applied loads is accomplished using a behavior factor. It is necessary to employ a behavior factor when evaluating the behavior of structures using linear analysis.
The behavior coefficient depends on ductility coefficient, structural damping coefficient, soil characteristics, earthquake characteristics, over strength coefficient, and design reliability coefficient. While in seismic code, this coefficient is entirely dependent on the type of lateral strength system used. At the same time, the behavior coefficient depends on the structural geometric properties which are investigated in this paper. Since nonlinear analysis is required to determine the effect of earthquake forces during design and nonlinear dynamic analysis is time-consuming, designers typically use nonlinear static analysis. Nonlinear static analysis is one of the nonlinear analysis methods that use the lateral load to represent the earthquake load on the structure statically and increasingly.
Estimating the behavior factor before starting the design process is a vital aid to designers. In this paper, we have examined the behavior factor of the reinforced concrete (RC) frame using gene expression programming. Gene expression programming is highly effective in this instance. Its effectiveness largely determines the success of the method. Gene expression programming is a class of genetic algorithms that utilizes a population of individuals, selects them based on their fit, and introduces genetic changes via one or more genetic operators.
Numerous inputs are required for this purpose, including the number of stories, the span length, the seismicity of the construction site, and the ratio of the compressive strength of concrete to the yield stress of longitudinal reinforcements. Afterward, 168 RC frames were designed via SAP2000 software, and the behavior factor value was obtained using nonlinear static analysis for each frame and subsequently transferred to the GeneXpro Tools software. The sixth and ninth national building regulations, Iran's seismic code, with the American Concrete Institute Code (ACI318-14), were used to analyze and design the structures examined. In the designed frames, the number of stories is 2, 4, 6, 8, 10, 12, and 15, and the ratio of span length to story height is 1, 15, 2, and 2.5, respectively.
The design base accelerations were 0.35, 0.3, and 0.25 in this study, and the longitudinal reinforcements' yield stress was initially set to 340 MPa and then increased to 400 MPa. The obtained results demonstrate that employing the gene expression programming method makes it possible to estimate the reinforced concrete frame's behavior factor with an acceptable degree of accuracy before initiating the design process.  Finally, the results show that the variations of the span length and the number of the stories significantly affect behavior factor. Furthermore, as the number of stories increases, the behavior factor decreases initially and then increases. Moreover, the impact of parameters, such as design base acceleration and yield stress of longitudinal reinforcements, is negligible in calculating the behavior coefficient.