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This study investigates the fundamental impact of naming on shaping the ideology of texts, particularly the Quran. It explores how naming, as a foundational linguistic process within the frameworks of Hodge and Kress (1996), Van Leeuwen (2008), and Leslie Jeffries (2010), plays a pivotal role in constructing meaning, establishing identity, and exerting power. The research also examines the naming component within the Quran and its contributions to explaining the underlying worldview of this text. To evaluate hypotheses, this research employs critical discourse analysis. It explores the approaches of Hodge, Kress, Van Leeuwen, and Jeffries regarding the naming component and applies these theories to the Quranic text. The goal is to elucidate the embedded worldview and the Quran's approach to naming. The findings reveal that in Hodge and Kress's view, the naming process is an ideological tool for promoting and solidifying specific beliefs. Conversely, Van Leeuwen perceives naming as an identity process and a means of interaction and meaning construction within social contexts. Jeffries, combining explicit (ideology) and implicit (literary language) elements, considers naming a tool for producing and reproducing ideological discourses. An examination of naming within the Quran indicates that beyond ideological, identity, and linguistic factors, other elements such as the relationship between theme and naming, the priority of content over naming, and the connection between action, process, and structure to naming also influence this process.
 

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This paper studies the concept of metafiction in Charmshir’s play Dastan-e door vaderaz-e safar-e sultan … be diyar-e farang (1998). Metafiction, as a result of an analytical perspective emerged first in modern novels, attempts to challenge the conventional frame of fictional reference to the reality of the external world as it is suggested in literary Realism. In this type of stories, narrative elements such as plot, character, time, and place are no longer representatives of imagined reality, but they in fact reflect a perpetual conflict between art and reality. However, it can be suggested that reality here is subordinated by the referents of the external world. Linguistically, metalanguage and poetic functions of drama would dominate its object language. The story then will be directed toward its narrative elements as well as its own process of creation. Adaptation and meta-historiographyare some of the other features of this style of writing stories which is associated with parody and irony. Charmshir’s play is not really a narrative of the king’s long journey to Europe;rather it is a challenge for the playwright to realize a metafictional probability in form of a postmodern drama. This play is an artwork about the process of building an alternative story and is a new exploration on narrative facts.The elements such as characters, structure, plot, the authority of the narrator, and the style of narrative are no longer the hidden parts of drama in the representation of the story and meaning;in fact, they are the story in itself. The foregrounding of language here is an ironic reference to literary and dramatic texts while it is a fictional device for fabricating history and manipulating data by which the reader expects to receive narrative information. This studyunravels new aspects of narrative structure in Iraniandrama using an analytic-descriptive approach.

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Research subject:Well-designed plastic foams, with respect to their cell density and cell size, open-or-close cells, and the cell uniformity, compared to their counterpart unfoamed plastic parts, beside of having the advantages of less material consumption, dimensional stability, better processability, and a higher surface quality, they can have superior mechanical and physical properties, including strength to weight, impact strength, thermal and dielectric properties. The temperature distribution in the different zones of the extruder, the qualities and quantities of the nanoparticle additives and their dispersion in the polymer matrix can have significant effect on the mechanical properties of the produced foams by the extruder.
Research approach: In this study, using an extruder, MA-g-polypropylene microcellular foams, containing 3, 7 and 9 wt% of nano-clay particles, were produced under three temperature arrangements on the extruder and the material and the processing effects on the mechanical properties were investigated.  
Main results: The result of this investigation shows that adding of nanoclay improves the mechanical properties of MA-g-PP.s foams. As an example, the results show that the sample with 7 wt% of surface modified nanoclay, owns about 10% higher impact toughness compared to the samples produced without nanoclay. Also for the same samples a rise of about 5% was recorded in Young's modulus. The microstructural studies of the produced foams by scanning electron microscope (SEM) show that adding of nanoclay can result on more foam uniformity and smaller cell size. In this study, the smallest average cell size (87.5 μm) and the lowest density (0.3 g/cm³) were recorded for a sample with 7wt% nanoclay.

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The effects of alcoholic extract from pomegranate (Punica granatum) peel on some hematological and biochemical parameters, including RBC, Hb, Hct, MCV, MCH, MCHC, WBC, TP, CHO, GLU, LDL, HDL, Glb, TG, GOT, GPT, Alb, ALK, LDH, and lysozyme activity of common carp )Cyprinus carpio( fingerlings (11.73 ± 1.81g) were studied for a period of 75 days. Treatments included different concentrations of ethanol extract of pomegranate peel (Zero: control, 50, 150, 300 and 600 mg/kg of diet). At the end of experiment, all fish were sedated for morphometric measurement and blood sampling. Significant increases in Hb, Hct and RBC in groups 300 and 600 mg/kg of diet were observed (P<0.05). Total protein in groups 150, 300 and 600 mg/kg of diet showed a significant difference with other groups (P<0.05). Lysozyme activity was significantly enhanced in all diet containing pomegranate peel extract compared to the control group (P<0.05). In brief, the present study revealed an overall improvement in hematological parameters and lysozyme activities and total protein when 300 mg pomegranate peel extract was used in the diet.

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Induction heating is widely used in metal industry for melting or heating thin slabs in a continuous casting plant. The wide application is based on good efficiency, high production rate and non-polluting conditions. For designing a parallel resonant induction heating system, calculating the capacitance for the resonant circuit is important, because its value affects resonance frequency, output power, power quality factor, heating efficiency and power factor. In this paper, phase controlled rectifier and H-bridge inverter are modeled. Then a method of finding an optimal value for the capacitance under voltage constraint is presented. This value is selected for maximizing output power of an induction heater, while minimizing the power loss of capacitor at the same time. For this purpose, the role of equivalent series resistance in the choice of capacitance value is significantly recognized. In this regard, the heating coil and the load of induction heating are modeled at first, and then the optimal value of capacitance is selected. Finally a complete model of heater and its power is simulated and effectiveness of the proposed method is verified.

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The aim of the present study was to identify the phytoplankton species which producing domoic acid and okadaic acid toxins in coastal waters of Banar Abbas city, and to determine the concentration of domoic acid and okadaic acid toxins in water and shellfish samples.Water sampling was performed in winter 2015 and summer 2016 from coastal areas overlooking the discharge of municipal and industrial effluents. Shellfish were collected from the coasts of Bandar Abbas and Bandar-e- Lengeh. Phytoplankton toxins were measured by kit method and instrumental analysis based on ELIZA method.Pseudonitzschia delicatissima, Pseudo-nitzschia pungens and Pseudo-nitzschia seriata were identified in the production of domoic acid, while Dinophysis caudate and Prorocentrum Lima were recorded as okadaic acid producers in the coastal waters of Bandar Abbas. Water-soluble okadaic acid showed significantly higher concentrations than domoic acid. Instudied shellfish samples (Circenita callipyga, Barbatia candida, Telescopium telescopiumandThalessa savignyi), the measured concentrations of okadaic acid ranged from 59.8 ± 2.38 to 121.96 ± 28.25 μg / kg. This value for domoic acid was from 0.85 to 83.59 ± 38.72 μg / kg.Compared to the guideline values, the observed concentrations of okadaic acid and domoic acid toxins in the studied shellfish were lower than the allowable level.  But this value was recorded for the water-soluble domoic acid above the allowable value, which requires continuous monitoring to achieve the quantitative and qualitative pattern of phytoplankton toxins in order to support the safety of the marine ecosystem users in Hormozgan province.

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The main objective of this study is to provide an appropriate conceptual model for better explanation the relationship between alliance management capability and firm performance with introducing mediator variables focusing on two views of resource-based view and dynamic capability.In this research, in conceptualizingalliance management capability in order to better adapt it to environmental changes, it has been used from the view of dynamic capability and to explain how it affects firm performance, two mediator variables (effective resource sharing and joint development of knowledge and capabilities) are defined focusing on the resource-based view.In order to test the suggested model of research and its related hypotheses, structural equation modeling with partial least squares approach has been used.The results of testing the proposed research model which has been done in 79 strategic alliances in the air defense industriesusing questionnaires, confirm the validity and reliability of the proposed model and all the hypotheses considered. According to the results of this research, a firm in order to be able to continuously absorb and develop its resources and capabilities through inter-organizational alliance, should first institutionalize and integrate the processes and routines associated with the four sub-capabilities reflecting the alliance management capability (alliance proactiveness, alliance coordination,  alliance learning, and alliance transformation) and by using the generated capability, establish a widespread and continuous collaborations with its partners on the effective sharing of complementary resources and joint development of new and exclusive knowledge and capabilities. Also, the measurement scales and indicators provided in this study can be a good reference for managers to develop this capability in their organizations.

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To improve the behavior of building structures subjected to lateral loads, such as wind and earthquake excitations, tuned mass damper (TMD) has been used extensively theoretically and experimentally in previous researches. To increase the effectiveness of TMD mechanism, different methods have been proposed to determine the optimal values of TMD parameters including its mass, stiffness and damping. In using single TMD on the structures subjected to external vibrations, the mistuning of TMD, variation of TMD damping and changes in structural dynamic characteristics cause significant reduction in the effectiveness of TMD. Multiple tuned mass dampers (MTMDs) have been proposed to overcome the shortcomings of single TMD where each TMD has different dynamic characteristics. Based on the results of different researches, it has been concluded that the performance of MTMDs is less sensitive to uncertainty of structural dynamic parameters than that of a single TMD. In the previous researches, for designing MTMDs on the linear structures subjected to various external excitations, several methods have been proposed based on different kinds of design criteria. In most of the proposed methods, to simplify the design procedure of MTMDs, some limitations such as identical masses and damping ratios for TMDs or uniform distribution for the frequency or damping of TMDs have been considered. Also these methods require extensive numerical analysis. To generalize the design problem of MTMDs, in this paper, an effective method has been proposed for optimal design of MTMDs on the multi-degree-offreedom linear structures subjected to any desired excitation. In this method, an optimization problem is defined for designing the optimal MTMDs. The minimization of the maximum displacement of structure is considered as objective function and the parameters of TMDs are considered as variables. Since the design problem includes a large number of variables, hence, in this paper, it has been decided to use Genetic Algorithm (GA) for solving the optimization problem. To illustrate the procedure of the proposed method and also to assess the effectiveness of MTMDs in improving the seismic behavior of structures, a ten–storey linear shear building frame was subjected to white noise excitation and for different values of TMDs mass ratio and TMDs number, optimal MTMDs were designed for minimizing the maximum displacement of structure. To focus on the main objective of this paper and avoid the complexity of the problem, TMDs were located on the top floor in parallel configuration. The results of numerical simulations showed the capability of GA in solving complex MTMDsdesign problem with a large number of variables as well as the simplicity of the method under any desired external excitation. Also it was concluded that increasing of the mass ratio of TMDs could improve the effectiveness of MTMDs. To assess the performance of optimal MTMDs under other earthquakes, which are different in characteristics with design record, optimal structure-MTMDs was tested under near-fault and far-fault earthquakes and the results have been reported.

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Criticism of new historicism has been formed in opposition to traditional historicism. Contrary to traditional historicism, which speaks of the one-sided influence of history on literature, new historicism believes in the mutual influence of literature and history on each other. The story of Bahram and Golandam is one of the remarkable poems in Kurdish literature, which are called "Beit". Beits are syllable-weighted folktales recited by beit readers. It can be said that there are some similarities between the stories of Bahram and Golandam and Zal and Rudabeh. Therefore, it is possible to measure these two stories with each other. In this research, relying on library and documentary studies and with an analytical-comparative approach, we have tried to give a reading of the two stories in question based on the concepts of new historicism. The findings show that although both stories are apparently romantic and the conflicts are about love and marriage; But inside the story, power and discourse interests are fundamental issues. Every discourse tries to maintain its political and social interests.
 

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In recent decades, as the result of the expansion of industrial life, fast foods  and fried foods consumption has increased significantly. Consumption of fried foods including saturated fat and trans fatty acids is one of the important factors which endangers human health and the risk of heart disease, weight gain, cancer. With increasing consumer awareness of the health effects of dietary fat, tend to produce low-fat food consumption is increasing. Nowadays, the main challenge is to enhance the frying process by controlling and lowering the final fat frying of the fried foods. In this study the effect of microwave pretreatment levels 360, 600 and 900 W), on moisture and oil content, color and hardness of fried zucchini at three temperatures, 130, 160 and 180 ° C were studied. The results showed that the moisture content decreased with increasing frying time and oil hardening rate increases. The moisture content with increasing frying temperature is reduced and the amount of oil absorption is reduced. The highest oil uptake in control samples, and the lowest in samples treated with microwave 900W was observed respectively.  

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Fried foods are favored by consumers because of the crispy crust, desired flavor and color, but these properties are accompanied by some undesirable effects to the consumers due to the considerable amount of oil absorption during frying process. Nowadays, the main challenge is to enhance the frying process by controlling and lowering the final fat frying of the fried foods. In this study, the effect of hydrocolloids (methyl cellulose, pectin and methyl cellulose- pectin) on the quality of deep- fat fried Falafels at 150, 170 and 190 ˚C for 1, 2, 3, 4, and 5 min were evaluated. Moisture content decreased whereas oil content, hardness, volume and color of potatoes increased with increasing fried time, fried temperature. The lowest oil content values are given for samples coated with methyl cellulose- pectin. The control samples had the highest percentage of fat content in all the frying time range.      

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Iran is the fourth main producer of kiwi fruit in the world but the post-harvest wastage of this valuable fruit is considerable. On the other hand, the microalgae are natural and extraordinary nutritional sources that can be used in the production of functional food. The purpose of this study was the formulation of an innovative product of kiwifruit with high durability and its enrichment with Spirulina platensis algae and investigation of some of physicochemical and sensory properties of this product. In this study, the effects of different levels of Spirulina Platensis micro-algae in four levels (0%, 0.25%, 0.5% and 1%), agar hydrocolloids in three levels (0.25%, 0.5% and 1%) and guar in three levels (0.25%, 0.5% and 1%) on water activity, textural feature and color parameters of kiwi puree- based fruit pastille were studied and the best formulation been selected considering total acceptance and nutritional characteristics including vitamin C, total ash, protein, fat, fiber and iron and calcium content. The results showed that three variable (Spirulina Platensis, agar and guar) significant  effect on water activity. Additionaly, the results of coliremetre using Image processing techniques showed that the effects of agar and guar on "a*", "l*" and "b*" were not significant but Spirulina has a significant effect on color parameters on fruit pastilles. Texture analysis showed that agar and spirulina changed gumminess of the samples significantly. According to the sensory analysis, the 0.25% Spirulina, 0.25% agar and 1% guar obtained the highest score of total acceptance.  

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Raisin is a principal traditional export product of Iran and has occupied a special position in the foreign trade of the country. During storage period, the product turns sticky and hard due to exudates syrup and moisture loss. To overcome this problem the application of edible coating suggests being of proper assistance. Edible coating may enhance the boundary layer resistance resulting enhanced shelf life of product. In this research the method of Accelerated Shelf Life Testing (ASLT) used for evaluation of storage and sensory properties (texture, colorو taste and overall acceptability) of raisin .Raisin was treated with coating materials based on lipid (glyceryl monoestearate and carnauba wax) with 150 ppm essential oil of thyme (thymus vulgaris) and stored at 20, 35 and 50^oC for 12 weeks. During this period of storage sensory properties were evaluated and estimate the modeling shelf life of raisin. Results showed that coating, affect on texture and color significantly and caused increasing shelf life of raisin. Temperature and storage time also showed significant effects on total sensory attributes. Maximum shelf life (394 days) determined at 20 ^oC for carnauba wax coating with essential oil of thyme based on overall acceptability   and linear regression and second order function had best fit with R²≥0.94 for all of treatments.  

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Ventricular Fibrillation (VF) is the major cause of triggering sudden cardiac death (SCD). Efficient prediction of ventricular fibrillation is very important for clinical purpose, as this is the most serious cardiac rhythm disturbance and can be life threatening. A reliable predictor of an imminent episode of VF, could be incorporated in an implantable cardioverter defibrillator (ICD) would be capable of delivering preventive therapy. The aim of this study is to investigate the possibility of predicting VF from surface electrocardiogram (ECG) signal by beat to beat tracing of the signal and using a dynamic thresholding method. As VF arises from the lower pumping chambers of the heart (ventricles), it is expected to find some changes in the ventricular activity part of the ECG signal before its occurrence. In this paper, we focused on the T-wave of ECG signal which shows the repolarization of ventricles and tried to present an online predictor by finding an entropy-based pattern in T-waves of ECG signal that can effectively maps the irregularity of this wave before VF. We have also used an Empirical Mode Decomposition (EMD) method to reduce the high frequency noises of T-waves before predictive index extraction in each beat. We found that proposed predictive pattern can be considered as a useful index for probability occurrence of VF. It reached the sensitivity of 89% and specificity of 95% in online VF prediction method. Presented method is simple, computationally fast and has high prediction quality and hence is well suited for real time implementation.  

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In this study, a comprehensive assessment of the occurrence and spatial distribution of heavy metals including Nickel, Lead, Zinc, Copper, Cadmium and Chromium, as well as, TPHs in the surface sediments of the coastal areas and far from the coast of the Persian Gulf in Bushehr and Khuzestan provinces were performed to identify the possible sources of sediment contamination and determining the degree of pollution. Eight pollution indices were used to evaluate the quality of sediments in terms of heavy metal and TPH pollution. The investigated areas could be distinguished by a significant degree of heavy metal pollution of Nickel, Cadmium and Zinc. High concentrations of Nickel and Zinc were observed in stations around Nakhiloo, Bushehr. The comparison of average pollution indices between regions showed that both Bushehr and Khuzestan provinces, respectively, with the average of contamination degree (CD) (20.25 and 22.11), modified contamination degree (MCD) (3.38 and 3.69), pollution load index (PLI) (31.17 and 57.57), potential ecological risk index (PERI) (353.54 and 349.39) have a significant degree and risk of Nickel and Cadmium pollution, especially in Nakhiloo area, Bushehr. Investigating the spatial fluctuations of the concentration of TPHs in two provinces showed an increasing trend from Bushehr to Khuzestan. However, areas were located in no pollution or low pollution zonation and were safe from the adverse biological effects of TPHs. Comprehensive and impressive strategies to control and reduce these pollutions, especially in polluted areas, should be considered, so that the sources of these pollutions be managed.
 

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These days biosensors have worthy applications in different fields such as biomedicine, disease diagnosis, treatment monitoring, various aspects of the environment, food control, drug production, and assorted sides of medical science. Recently, different types of biosensors such as enzyme biosensors, immune, tissue, DNA, and thermal biosensors have been studied precisely by some research groups. These biosensors have many advantages such as simplicity in implementation, very high sensitivity, automatic performance, intrinsic and natural small size. Another valuable benefit of biosensors is that their high-affinity paring with biomolecules allows sensitive (high-sensitivity) and selective detection from a wide range of analytes. Artificial intelligence (AI) due to its high potency, if combined with biotechnology, like biosensors, can be effective in accurate prediction, diagnosis and treatment of some diseases, including cancer. Today, Machine learning (ML) as one of the branches of AI has become a beneficial tool in analyzing and categorizing obtained data from biosensors for bioanalysis. Using ML algorithms automates the complicated processes of extraction, processing, and assaying data achieved from biosensors. This article is a review for introducing and survey of various biosensors, their applications, and ways to apply them, focusing on cancer and Covid19 which are important diseases in the world obtained from previous studies, as a summary and providing information for researchers which working in this field.