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The purpose of this study is to examine the correlation between canonical variables (x component) of organizational commitment, including (affective commitment, normative and continuous variable) and quality of services provided to employees (y components), including (responsibility, reliability, trusting, empathy, tangibility). These two sets of change variables are taken to be a suitable model for determining the relationship between Y components. Also it would use to provide a prediction method for y components using canonical correlation. At first, the theoretical model and the theories between the variables were developed and for surveying the research theories structural equation was used. ansar bank counter staves of Tehran city are the statistical population. 320 employees were picked based on the Morgan table using random sampling. A questionnaire was used to collect data, and its reliability and validity assessed by Cronbach's alpha and confirmatory factor analysis. Results of canonical correlation showed a good linear combination between organizational commitment and service quality offered by them. Affective and normative commitment has direct relation with quality components, and continuance commitment correlated inversely with quality components. Normative commitment in empathy have the greatest role in creating the first canonical correlation coefficient as well as a comparison with other canonical variables.

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Aims: In the present study, the morphometric and meristic traits of Alburnus chalcoides from the Chelvand (Astara), Khalesara (Talesh), Siahdarvishan (Anzali wetland), Sefid and Pol (Guilan Province), Tonekabon and Babol (Mazandaran Province) rivers were compared.
Materials & Methods: For this purpose, a total of 170 specimens were collected from above-mentioned rivers. In the Lab some 39 morphometric and 10 meristic traits were recorded. All data were analyzed by using One-Way ANOVA, Duncan test, Kruskal-Wallis, principal component analysis (PCA), canonical variate analysis (CVA) and cluster analysis.
Finding: The results showed a significant difference in 36 morphometric and five meristic traits among the studied populations. CVA result separated the studied populations in the southern parts of the Caspian Sea basin. Also, cluster analysis placed the Chelvand River population in a distinct clade. 
Conclusion: This study showed high diversity of morphometric compared to meristic traits and better performance of these traits in population's distinction.

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 Terfezia, Picoa and Tirmania, so called desert truffles, are mycorrhizal fungi mostly endemic to arid and semi-arid areas of the Mediterranean Region, where they are associated with Helianthemum and Carexspecies. The aim of this work was to study the identification, molecular analysis, distribution and hosts of these pezizalean hypogeous fungi in Iran. Among the specimens, Terfezia claveryi, Tirmania pinoyi, T. nivea, Picoa lefebvrei and P. juniperi were identified. Field, laboratory and anatomical studies showed that Helianthemum ledifolium, H. salicifolium, H. lippi and Carex stenophylum have ectomycorrhizal associations with five species in the studied areas. The results of molecular analysis showed that C. stenophylum roots form mycorrhizal associations with T. claveryi. Hyphal mantle was absent from sections of the mycorrhizas. The results of physico-chemical analyses on soil samples from different parts of the Fars Province in Iran showed that the genus Tirmania was more prevalent in soils with high CaCO3 and silt contents than the T. claveryi, P. lefebvrei and P. juniperi. The Canonical Correspondence Analysis (CCA) indicated that soil structure were an important environmental parameter influencing desert truffles distribution.

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The presence of environmental and measurement noises and ignoring the input effects are the main sources of error in system identification using ambient vibration test results. Therefore, reducing uncertainty or noise levels from the records has always been one of the main goals of the new techniques in the field of ambient vibration. Among the modal analysis techniques, stochastic subspace identification is considered as a powerful technique. In this study, the modal analysis method based on canonical correlation analysis in stochastic subspace is presented that identifies dynamic properties in optimized space instead of data space by extracting ortho-normal vector of data space. The advantage of this method, due to the nature of canonical correlation analysis, is lower noise which results in greater accuracy in estimating modal properties. Moreover, the presented process is faster due to the smaller space of identification compared to the previous methods. To validate the proposed method, an analytical model of two-dimensional frame excited under Elcentro earthquake acceleration and also the results of ambient vibration tests carried out on the Alamosa Canyon Bridge are used. The results indicate that this method eliminates more noise than other subspace methods and moreover it is faster in solving practical problems. The computation of dynamic properties, natural frequencies and mode shapes, of Alamosa Canyon Bridge with 30 sampling sensors, space matrix size of 750 and 50 excited modes are carried out in less than 150 seconds with a quad-core 2.30 GHz processor.

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Finite element model is the conventional method used for static and dynamic analysis of widely used structures such as dams and bridges, since it is cheap and requires no special tools. Nevertheless, these models are not able to describe the accurate behavior of structures against dynamic loads because of simplifying assumptions used in numerical modeling process, including loading, boundary conditions and flexibility. Nowadays, modal testing is used to solve these problems. The dynamic tests used to identify civil structures’ system usually include forced, free and environment vibration tests. Considering either unknown nature of inputs or failure to measure them, some methods have been developed to analyze the results of dynamic tests which are based on measuring only output data and are known as operational modal analysis. Some of such methods are Peak Picking (PP), Frequency Domain Decomposition (FDD) and stochastic subspace methods. However, unknown nature of applied forces, the presence of environmental noise and measurement errors contribute to some uncertainties within the results of these tests. In this article, a modal analysis is presented within a stochastic subspace which is among the most robust and accurate system identification techniques. In contrast to the previous methodologies, this analysis identifies dynamic properties in optimized space instead of data space by extracting ortho-normal vector of data space. Given the optimum nature of the proposed method, more accuracy in detection and removal of unstable poles as well as high-speed analysis can be served as its advantages. In order to evaluate the proposed method in terms of civil systems detection, seismic data (being among the most real and strong environmental vibrations) and steady-state sinusoidal excitation (which is among the most precise forced vibration tests) were used. In the first step, 2001 San Fernando earthquake data were analyzed using SSI-CCA and SSI-data methods, the results of which are presented in the following. Data processing rate in the SSI-CCA method is almost twice that in SSI-data method which is because of processing in an optimum space while lowering the use of least squares method to compute system vector. Furthermore, there is one unstable pole in the results of the proposed method while 4 noisy characteristics were recognized in the results of SSI-Data method. Estimated damping ratios comprised the major difference observed in this analysis using above-mentioned two methods. Modal damping ratios estimated by the proposed method were 60% closer to the previous results when compared to those of the previous subspace method. Mode shapes of both subspace methods with MAC value of 92% and 75% for the first and the second modes, respectively, are well correlated with each other. Due to lack of access to the mode shape vectors of Alves’s method, it was not feasible to calculate the corresponding MAC value. In the following, forced vibration test results of Rajai Dam conducted by steady sine excitation in 2000 and analyzed by a method known as four spectral, are re-processed Using the SSI-CCA method. As results indicate, using the proposed method the first three modes are obtained that were not on the preliminary results. In addition, other modes are of great fit with the values of the finite element.

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According to the Kau and Robin (K&R) hypothesis, an increase in the government's power to collect taxes increases the size of government. In this regard, the main objective of this paper is to test this hypothesis for the Iranian economy during the period of 1971-2014. For this purpose, two variables are used as indicators of government's power to collect taxes: rate of female participation in the labor market and self-employment rate. The estimation method is a canonical co-integration regression (CCR). The results indicate no significant impact of the mentioned indicators on the government size. Thus, Kau-Rubin hypothesis is rejected for the Iranian economy. The FMOLS and DOLS estimators reconfirm the results.

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Abstract: The purpose of the present study is to examine the relationships between sub dimensions of psychological capital (hope, efficacy, resilience and optimism) and components of quality of services provided to employees (responsibility, reliability, trusting, empathy, tangibility). For this purpose, survey method was used and 320 questionnaires were distributed among Ansar bank branches’ employees in Tehran. Data were collected using the Luthans inventory and the quality of services provided to employees Scale, and were analyzed using the canonical correlation approach. Results of canonical correlation coefficients between pairs of canonical variables (psychological capital and quality of services provided to employees) was found to be statistically significant. Also, Hope and responsibility compared to other canonical variables, have the most important role in establishing the first canonical correlation coefficient . Hope and responsibility compared to other canonical variables , have the most impo rtant role in establis hing the first canonical correlation coefficient .

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Selection based on the traits affecting grain yield is used for its indirect improvement. The objective of the present study was to determine the quantity and mechanism of effects of agro-morphological and physiological traits on grain yield of bread wheat under terminal drought conditions. Thirty six advanced lines of wheat were evaluated in a Randomized Complete Block Design with three replications during three sequential growing seasons 2010-2013 under rainfed conditions. Stepwise regression, path analysis, and canonical correlation analysis were conducted. All three components of yield had a significant positive effect on grain yield. The first canonical variable of predictive traits (U₁) and yield components (V₁) were studied. In general, selection for shorter vegetative stage and longer grain filling period is recommended to improve wheat grain yield per plant under rainfed conditions. Also, the desirable lines were those that had high amounts of biomass, average plant height and spike length, and low amount of canopy temperature. These types of lines are expected to produce higher numbers of grain per plant (not per spike) and 1000-grain weight, simultaneously, and thus higher grain yield per plant.
 

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Introduction: Malaria, transmitted by Anopheles mosquitoes, remains a significant public health concern. The aim of this study is to evaluate the canonical correlation between physiological traits and growth parameters of two Anopheles stephensi biotypes: intermediate and mysorensis.
Methods: A total of 25 males and 25 females were reared under controlled laboratory conditions (27 ± 2°C, 75 ± 5% relative humidity, 12:12 light-dark cycle), and parameters such as egg lifespan, larval stages, pupal duration, and adult longevity were examined. Growth parameters, including the finite rate of population increase, life expectancy, net reproductive rate, and average generation time, were analyzed separately.
Results: Canonical correlation analysis revealed that only the first canonical variable was significant, explaining 87.24% of the data fit. The first canonical variable exhibited the highest cumulative percentage (87.32), canonical square (0.94), and eigenvalue (23.59). Among growth parameters, life expectancy had the highest canonical correlation coefficient (r = 0.942). Significance tests indicated that Wilks' Lambda produced the highest eigenvalues, while other methods yielded Hotelling-Lawley Trace: 0.38, Pillai’s Trace: 1.43, and Roy’s Greatest Root: 37.40.
Conclusion: Findings indicate that growth parameters, such as net reproductive rate and average generation time, are directly correlated. A higher net reproductive rate corresponds with a longer average generation time, leading to an increased intrinsic rate of population growth and life expectancy. These insights into Anopheles stephensi population dynamics may contribute to improved vector control strategies.

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The present research explores the reasons why contemporary theoreticians of adaptation studies spurn “fidelity criticism.” With an increase in the production of adaptation with the advent of the cinema, there appeared a critical approach known as “fidelity criticism” in which the extent of the fidelity of the adapter to the adapted was investigated. Since this approach considers the adapted as a touchstone to evaluate the adapter and since it implicitly acknowledges the superiority of the former over the latter, postmodern critics, who frequently advocate alternative views and readings, struggle to release the adapter from being overshadowed by the adapted in order to let them express their unique message in the modern era. By referring to contemporary theories, the present research explores the whyness of the necessity for avoiding “fidelity criticism” as a touchstone for the evaluation of adaptation. To this end, the question of adaptation is expounded in the light of canon, logocentrism, and minor literature in order to study the likelihood of the ideological working of “fidelity criticism” as an apparatus in the hands of power. While the fact that “fidelity criticism” cannot be an appropriate criterion for the evaluation of adaptation has been frequently pointed out, the howness of its contribution to power discourse is an issue that has not been investigated in a coherent research, an attempt that can lead to a better understanding of the whyness of the rejection of “fidelity criticism.”