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As the former of the structure of story, language is significantly important in the structural analysis. Based on this viewpoint, language structure and the way it is used, as well as the connection between the aesthetics and ultra-linguistics are specifying its type in relation with the general concept of the literary work. Also the epic language, as the basic foundation of these texts, prospers structural potentialities like word usability, syntactic of utterance, and useful intonation proper with the epical atmosphere and feelings in different levels such as vocal, semantical, etc.
In oral literature, along with having stories from a simple and pure language, presence of rhapsodists and elocutionists and their interference and distort together with new elements ingression in the form of “Scrolls” compilation have increased more and more the use of epical language capacities linked to the main context of scrolls. The “Haft Lashkar” (the Seven Corps) is also one of the Rhapsodists’ Comprehensive Scrolls (RCS) during the Qajarid era of which the time of writing goes back to the year 1292 (Lunar Hijri) (almost 1871 A.D.), and it is originally the name of one of the famous rhapsodic battle-narrations, which was applied to one of the RCSs due to its fame. 
Therefore, considering the general concept of the currently discussed work in this paper, its epical structure has been analyzed and checked from two levels:, vocal and Syntactic levels. Using bursting-obstructive phonemes and long Syllable structures along with high-frequency short vowels in the vocal level has made the epical atmosphere and feeling more tangible for the readers. In syntactical structure of the utterance, the priority of the verb and displacing the other elements of the sentence, associating the elements of the same function, as well as creating areas via the rhapsodist’s exploitation from the drama tune, the skills of discourse-movement and the oral techniques are all considered as the elements of forming an epical language. Moreover, the musical characteristics of the oral narration like the height of the sound, using long and loud vowels at the end of the questions and vocative sentences have led to the enhancement of the rising voice of the discourse and eventually, the epical language.
 
 

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Background: Prediction of future climate change is based on output of global climate models (GCMs). However, because of coarse spatial resolution of GCMs (tens to hundreds of kilometers), there is a need to convert GCM outputs into local meteorological and hydrological variables using a downscaling approach. Downscaling technique is a method of converting the coarse spatial resolution of GCM outputs at the regional or local scale. This study proposed a novel hybrid downscaling method based on artificial neural network (ANN) and particle swarm optimization (PSO) algorithm. Materials and Methods: Downscaling technique is implemented to assess the effect of climate change on a basin. The current study aims to explore a hybrid model to downscale monthly precipitation in the Minab basin, Iran. The model was proposed to downscale large scale climatic variables, based on a feed-forward ANN optimized by PSO. This optimization algorithm was employed to decide the initial weights of the neural network. The National Center for Environmental Prediction and National Centre for Atmospheric Research reanalysis datasets were utilized to select the potential predictors. The performance of the artificial neural network-particle swarm optimization model was compared with artificial neural network model which is trained by Levenberg–Marquardt (LM) algorithm. The reliability of the models were evaluated by using root mean square error and coefficient of determination (R²). Results: The results showed the robustness and reliability of the ANN-PSO model for predicting the precipitation which it performed better than the ANN-LM. It was concluded that ANN-PSO is a better technique for statistically downscaling GCM outputs to monthly precipitation than ANN-LM. Discussion and Conclusions: This method can be employed effectively to downscale large-scale climatic variables to monthly precipitation at station scale.

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Paul Simpson is one of the researchers who have worked in the field of stylistics and critical linguistics. One of the topics which he has studied systematically is the “point of view.” In his opinion, point of view is related to the degree of narrator’s interference in the act of narration. It has three dimensions: (1) spatial; (2) temporal; and (3) psychological. The writer or narrator unites these items through modality. Furthermore, focusing on modality, Simpson introduces his narrative model which includes nine different points of view. In this model, he incorporates Genet’s discussion on four points of view and also the model of Uspensky and Fowler. Simpson believes that by studying the three spatial, temporal, and psychological dimensions of the point of view, we can reach at its ideological dimension.

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This research addresses the issue of balancing time-cost-income of talent management and succession in knowledge-based organizations. There are different approaches for attracting talents from outside of an organization to fill this gap. Although many different researches made clear insights about the importance of successful talent succession, only a few quantitative methods have been developed to deal with such problem. This paper by assuming such realistic assumptions, proposed a bi-level linear mathematical model, based on game theory approach. The performance of developed model has been assessed using PSO algorithm by gathering ten-year realistic data from an Iranian telecom company. The results show acceptable adoption to reality, based on realistic events.

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Efficacy of the neonicotinoid insecticide, Calypso® was studied on eggs, nymphs and adults of Trialeurodes vaporariorum Westwood, using a leaf disc bioassay method. Concentrations from 0.15 to 0.8 ml/l were applied by systemic-contact method. Nymphs were more susceptible than eggs and adults, and LC50 and LC30 values were estimated to be 0.465 and 0.263 ml/l, respectively. Also, the longevity and fecundity of exposed females was reduced compared to control. Moreover, the demographic parameters were adversely influenced compared to control. The intrinsic rate of increase (rm) was significantly decreased to 0.132 and 0.139 day-1 at LC50 and LC30 level, compared to control (0.152 day-1). Other life table parameters (R0, λ, T, and DT) were also significantly lower in the treated insects. Sublethal concentrations of Calypso® may reduce the insecticide residuals on greenhouse crops and reduce the resistance development in greenhouse whiteflies. Therefore, these concentrations may be applicable in the management of T. vaporariorum after complementary studies.

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This study aims at analyzing the representation of the tension of Syria in some newspapers and news resources related to the Western world. The theoretical framework in this study is Thompson’s approach (1990) that mentions five general modes of operation of ideology and outlines a number of strategies appropriate to their symbolic expression. In data analysis it was found that the methods used in these texts are legitimation, reification, dissimulation and fragmentation; and the strategies are rationalization, expurgation of the other, euphemism, externalization, passivisation and nominalization. This shows that the newspapers and resources have reported the Syria’s events on the basis of their own opinions and ideologies and purposes; and they have emphasized on the schismatism and difference between people and groups; that is they somehow have distorted the reality and presented it as they themselves perceive it or want to perceive.  

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  Citrus, especially orange, are of great important among agricultural products in the world. In this study thin-layer drying of orange (var. Thompson) was modeled using artificial neural network (ANN). An experimental dryer was used. Thin-layer of orange slices at five air temperatures (40, 50, 60, 70 & 80 ºC), three air velocities (0.5, 1 & 2 m/s) and three thicknesses (2, 4 & 6 mm) were artificially dried. Initial M.C. during all experiments was between 5.4 to 5.7 (g/g) (d.b.). Mass of samples were recorded and saved every 5 sec. using a digital balance connected to a PC. MLP with momentum and LM were used to train the ANNS. In order to develop ANN's models, temperatures, air velocity and time are used as input vectors and moisture ration as the output. Results showed a 3-6-1 topology for thickness of 2 mm, 3-7-1 topology for thickness of 4 mm and 3-5-1 topology for thickness of 6 mm, with LM algorithm and TANSIG activation function were able to predict moisture ratio withof  0.99906, 0.99919 and 0.99930 respectively. The corresponding MSE for this topology were 0.00013, 0.00012 and 0.00009 respectively.

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In this study, the psocids (Psocodea: 'Psocoptera') from caves and other ecosystems in Northeastern Iran were investigated during the years 2022 and 2024. Among them, Psyllipsocus ramburii Selys-Longchamps, 1872, and Lepinotus inquilinus Heyden, 1850, are new to the Iranian fauna. Additionally, all species identified in this study are newly recorded in North Khorasan and Khorasan-e Razavi provinces. Notably, this is the first report of Psocoptera from caves in Iran. In addition, we have compiled a list of psocid species of Iran based on the available literature until October 2024. A total of 22 species, belonging to 11 genera and 8 families of psocids have been reported from Iran. We made a brief analysis of the systematic, zoogeographical and ecological assignment of Iranian Procoptera. The suborder Troctomorpha, with 2 genera and 11 species, has the highest species count. From nine families recorded, the family Liposcelididae dominates, accounting for 11 species, or 50% of the total. The study includes bibliographical references and information on the global distribution of these species.

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This study aims to examine the elements of stylistics in three stories. They include three poetical narratives by ʿAṭṭār in mystical genre pivoting around the character of Ḥallāj.
The main research question of are: a) According to which stylistic mechanisms of narrative are the narrative-stylistic elements explained? And b) How are these elements reflected in the narrative discourse?
This study hypothesis check the components of Simpson's narrative discourse to determine the stylistic features.
 Therefore, analysis of the texture of these narratives showed that in total, material processes with 16 applications had more performance than verbal process with 3 cases, mental process with 13 cases and behavioral process with 1 case.
 The research uses library method for collecting data and is analytical in nature, employing the methodology proposed by Simpson in his Stylistics approach.
The results indicate the extent of characters’ collaboration by analysing the processes. In terms of point of view on the temporal plane, there is no specific time since all three narratives revolve around Ḥallāj. The descriptive pause is another example of this point of view and narrative time in the stories is longer than story-time. In the second story, however, the narrative is denser and more concise.
An example of a point of view on the temporal plane can be seen in the three discourses of narration using "the use of past verbs", "descriptive pause" and "narrative time" in two narratives, and the narrative of “ tashte khakestar va amadane ashegh" is rejected.
 Naturally, from the spatial point of view, referring to space is not pertinent because it the prestige of Ḥallāj which is the focus of the author.
All three narrative discourses confirm Hallaj's high position on psychological plane . The point of view is the third person in all three stories. In the first and third stories, the third person perspective is reflective, and in the second story, the third person perspective is prominent.
 Modality has some features in narratives of Ḥallāj: since the narrator narrates Ḥallāj’s emotions and the Lover’s character by direct speech, it has a positive shading. This may be explained using Fowler-Uspensky model.
 In terms of idiolect, the words uttered as the Lover’s reaction to see the Beloved’s (i.e. Ḥallāj’s) ash and finding a trace of the latter are in line with the mystical context of the story. All three stories of Ḥallāj can be discussed in view of Labov’s ‘textual structure’.
Therefore, in future research, it is possible to examine the textual structure of the elements of this model in the narrative context by examining the structure of the text in other anecdotes of mystical poetry and consider the anecdotes related to elders. The results of this study showed that in almost these three stories, the result , the solution and the terminal phase are the same, and the reason is Attar's advice, which replaces any kind of analysis.
With regard to intertextuality, two stories ‘Ḥallāj in the gallows’ (Ḥallāj bar sar-i dār) and ‘Ḥallāj decapitated in sleep’ (Ḥallāj bā sar-i burida) are referred to in other texts.
The results of this study clearly show that the study of narrative stylistics and the application of its components have mechanisms that are suitable for analyzing different levels of narrative discourse context. In addition, this study provided an understanding of the style of Hallaj's narratives that had not been previously explored.
 
 

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 This article aimed to introduce Paul Simpson’s model­ (2004) at the point of view of "Ayenehaye Dardâr" and "Ham Navayie Shabaneye Orcestre Choobhâ". Simpson applies "sequence, duration, and frequency" in the spatial planes of point of view from "camera angle". He also uses "Modality" in psychology, and "Helidian transitional system" in ideological. Exploring the point of view provides a better understanding of the thoughts and feelings of the characters.
The research method is to evaluate the entire text of the novels in the temporal, spatial, and psychological points of view and identifying the "processes" and "aspects of verbs" in the "policy and beliefs motifs" of the authors’ ideology index.
The flashback in two novels plays an important role. Ghasemi, with a partial view, and Golshiri, with the "here and there" frequency pronouns show the contradiction between the origin and destination community in the lives of immigrants. A confirmative attitude is dominated on novels and the narrator explicitly speaks of his dreams and beliefs. The high frequency of material process reveals realism and reports the specific application of the news, personalities, and lives of the characters.

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The art of steganography is used to hide the relationship and secret messages between sender and receiver for the sake of information security in communication networks. Capacity, imperceptibility and robustness are three important pillars of steganography requirements. Increasing each of these factors in steganography may result in decreasing the other factors. Optimization methods with respect to an acceptable value for one factor can be used to increase the other factors. In this paper by specifying the scope of PSNR as a measure of imperceptibility and in order to increase capacity, steganography is conducted using PSO algorithm. In the proposed method considering the order of each bit-plane of cover image, steganography is run with a matrix encoding method. In the present study the capacity of stego images for famous cover images is examined. The results show that the proposed method in comparison with some recent ones 

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In the design or analysis of structures for seismic loads, the effects of forces acting simultaneously in a member must be considered. The most common case is the interaction of bending moments and axial load in columns. The usual response spectrum method provides the maximum values of individual responses, but the critical combination of these responses may not involve any of these maxima. In this Paper, the response-spectrum-based procedure for predicting the envelope that bounds two or more responses in a linear structure is implemented. It is shown that, for an assumed orientation of the principal axes along which the ground motion components are uncorrelated, this envelope is an ellipsoid. For the case when the orientation of the principal axes is unknown, a ‘‘supreme’’ envelope is derived, which corresponds to the most critical orientation of the axes. The response envelope can be superimposed on the capacity curve to determine the adequacy of a given design. In the commercial softwares such as SAP and ETABS seismic designs of structures are based on rectangular spectrums that they are usually over estimated ones. Therefore, implementation of such accurate envelope instead of rectangular one is felt in design softwares. In the design or analysis of structures for seismic loads, the effects of forces acting simultaneously in a member must be considered. The most common case is the interaction of bending moments and axial load in columns. The usual response spectrum method provides the maximum values of individual responses, but the critical combination of these responses may not involve any of these maxima. In this Paper, the response-spectrum-based procedure for predicting the envelope that bounds two or more responses in a linear structure is implemented. It is shown that, for an assumed orientation of the principal axes along which the ground motion components are uncorrelated, this envelope is an ellipsoid. For the case when the orientation of the principal axes is unknown, a ‘‘supreme’’ envelope is derived, which corresponds to the most critical orientation of the axes. The response envelope can be superimposed on the capacity curve to determine the adequacy of a given design. In the commercial softwares such as SAP and ETABS seismic designs of structures are based on rectangular spectrums that they are usually over estimated ones. Therefore, implementation of such accurate envelope instead of rectangular one is felt in design softwares. It is shown that, for an assumed orientation of the principal axes along which the ground motion components are uncorrelated, this envelope is an ellipsoid. For the case when the orientation of the principal axes is unknown, a ‘‘supreme’’ envelope is derived, which corresponds to the most critical orientation of the axes. The response envelope can be superimposed on the capacity curve to determine the adequacy of a given design. In the commercial softwares such as SAP and ETABS seismic designs of structures are based on rectangular spectrums that they are usually over estimated ones. Therefore, implementation of such accurate envelope instead of rectangular one is felt in design softwares.

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A novel approach is presented for the reconfiguration of satellite constellations based on Lambert’s theorem. The reconfiguration problem, in this article, is considered with the constraint of overall fuel cost minimization. Hence, orbital maneuvers required for the operation of reconfiguration is designed in such a way that, transferring the satellites to the desired configuration of constellation will be possible at minimal cost. Also, the introduced method of orbital transfer for implementing the reconfiguration phase of satellite constellation has no limitation on the shape and orientation of initial and target orbits such as: co-planarity, coaxiality, circularity and/or the existence of a common point. Moreover, a method is offered for modeling the cost function of reconfiguration problem in which the two important tasks of optimal orbital transfer of satellites to the target configuration of constellation and optimal assignment of each satellite to a specific terminal position or final orbit will be done in one single step. For this purpose and in order to achieving the globally optimal solution of the reconfiguration problem of constellation the hybrid PSO/GA is used. Finally, two different scenarios of reconfiguration of satellite constellation will be modeled once by the presented approach and once by considering determined positions of flight and deployment for the satellites. The obtained results indicate the superiority of the idea presented in this article.

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Connected dominating set (CDS) problem is the most widely used method for backbone formation ‎in wireless sensor networks. To date, numerous algorithms have been proposed for backbone ‎construction on minimum CDS (MCDS) problem in unit disk graphs (UDG); however, only a few ‎algorithms have been proposed on MCDS problem in disk graphs with bidirectional links (DGB) ‎and on degree-constrained minimum-weight CDS (DC-MWCDS) problem in UDG. To the best of ‎our knowledge, no work has been done on DC-MWCDS problem in DGB. In this paper, we present ‎OEDC-MWCDS problem (optimal energy and degree constrained minimum-weight connected ‎dominating set) for constructing energy efficient backbone in wireless sensor networks. Then, we ‎model a wireless sensor network as a disk graph with bidirectional links and propose a backbone ‎construction algorithm called EBC-PSO (Energy efficient Backbone Construction utilizing Particle ‎Swarm Optimization algorithm) to obtain a CDS with the minimum weight subject to the optimal ‎energy and degree constraint. The main objective of the proposed algorithm is to find the optimal ‎values of energy and degree of constraint to maximize network lifetime. In the proposed algorithm, ‎optimal coefficients of minimum remaining energy and maximum degree of nodes are determined ‎utilizing PSO algorithm. Then, in the selection of DS nodes, these coefficients are used. Simulation ‎results verify the performance of the proposed algorithm in terms of network lifetime and ‎backbone size.‎

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In this paper, experimental data have been used to develop a semi empirical relationship for double-ellipsoidal heat source to model the welding process of a T-shape fillet weld of carbon steel AISI 1020 and stainless steel 304. This model is used in a finite element based computer code to simulate the three dimensional welding process and obtain the temperature profile around the weldment. Experimental data in the form of temperature for certain points have been recorded during the welding process using a computerized data processing system which has been designed for this purpose. Also, the thickness of the weldment layers has been compared by observing their hardness and crystallography. By comparing experimental data with numerical result, the coefficient of the model has been determined using “model updating” process. The effects of material properties and welding parameters have been studied to insure the generality of the model. This model can be used to evaluate the quality of the welding and thickness of the heat affected zone as well as the risks during the welding process such as burn-through and hot cracking. The main advantage of this model is that the number of coefficients is reduced to only one parameter and the rest have been related to the physical and geometrical characteristics of the weld. Results of the numerical simulation obtained using this model show that the major factors which affect the temperature distribution around the weldment are material conductivity, plate thickness, input heating and welding speed.

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This research aims to describe a novel model, namely Hybrid Adaptive-Neuro Fuzzy Inference System-Particle Swarm Optimization (ANFIS-PSO), for predicting corrosion rate of 3C steel considering different marine environment factors. In the present research, five parameters (temperature, dissolved oxygen, salinity, pH, and oxidation–reduction potential) were used as input variables, with corrosion rate being the only output variable. In the proposed hybrid ANFIS-PSO model, the PSO served as a tool to automatically search for and update optimal parameters for the ANFIS, so as to improve generalizability of the model. Eeffectiveness of the hybrid model was then compared those to two other models, namely Adaptive-Neuro Fuzzy Inference System–Genetic Algorithm (ANFIS-GA) and Support Vector Regression (SVR) models, by evaluating their results against the same experimental data. The results showed that the proposed hybrid model tends to produce a lower prediction error than those of ANFIS-GA and SVR with the same training and testing datasets. Indeed, the hybrid ANFIS-PSO model provides engineers with an applicable and reliable tool to conduct real-time corrosion prediction of 3C steel considering different marine environment factors.

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Simulation of the four degree of freedom parallel robot (Quattrotaar) is subjective of this paper. The mathematical model of the parallel robot is obtained too. The workspace is optimized for Non-singular kinematic type-2. Artificial Bees Colony algorithm and Particle Swarm Optimization algorithm as overall exploring algorithms are implemented and the results are compared to each other. Neglect of any intrinsic complexity of the optimization problem the results show the capability of both methods for this robot parameters design. Comparison of the results indicates the Particle Swarm Optimization algorithm runs faster than Artificial Bees Colony algorithm. The exploring volume consists of a plan with 500 mm x 500 mm dimension which moves in a vertical direction from 500 mm to 1000 mm. One of the important hints of the paper is a 90-degree rotation of end effector around vertical axis Z. This rotation is caused more flexibility and dexterity for the robot. A 3-D model of Quattrotaar parallel robot is created by Computer Aided Design software and finally, Quattrotaar is fabricated in Human and Robot Interaction Laboratory (Taarlab)

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In this paper, online manual guidance of industrial robots using impedance control with singularity avoidance is studied. In this method, operator enters the robot workspace, physically holds the end-effector equipped with force sensor and manually guides the robot. In doing so, the operator generates the desired trajectory for applications like welding or painting. Robot singular configuration is possible during the process which makes it unsafe due to unexpected high velocity robot joints and the physical human-robot interaction. Therefore, real-time identification of singularity position and orientation must be evaluated during trajectory generation. The use of manipulability ellipsoid is suggested as a simple method for the singularity identification. By combining the manipulability ellipsoid and impedance control, a simple and new approach is proposed to warn operator before reaching singularity. Based on the proposed approach, effect of opposite force is exerted on the human hand in the predefined distance to singularity. Real-time implementation is the main advantage of the proposed approach because it keeps robot away from reaching singularity. Real-time experiments are performed using a SCARA robot. In the first experiment, the operator stops the trajectory generation process when an opposite force is produced. In the second experiment, the operator insists on entering the singular points. Experimental results show the effectiveness of the proposed approach in dealing with singularity problem during the trajectory generation by an operator for industrial robots.

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This paper studies path generation using manual guidance procedure for industrial robots by considering real-time singularity avoidance. Main feature of the proposed approach is singularity avoidance by variating impedance control parameters in preset distance from singularity in order to warn operator. Robot end-effector is equipped with a force sensor which operator grasps it and produces desired path. The desired end-effector path is generated by operator’s manual guidance for applications such as welding and spray painting and is recorded by robot controller. Robot singular configuration is possible during the manual guidance. So real-time detection of singularity position and orientation have to be considered during path generation because it can lead to unexpected high robot joints velocity. This problem is not safe due to physical human-robot interaction. Manipulability ellipsoid method is utilized so as to singularity identification. The method can be utilized in on-line due to its simple and low calculation process. On the other hand, the end-effector velocity is saturated in a specific value in the approach considering safety issues. Two main advantages of the proposed approach are real-time application and high safety because of the singularity avoidance. Experiments are applied on a SCARA robot to study the effectiveness of the proposed approach. Experimental results show the ability of proposed approach in dealing with singularity problem during the manual guidance.