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Haft-Owrang is one of the poems of the Ninth-Century poet, Abdol-Rahman Jami. An important illustrated version of Haft Owrang is called Sultan Ibrahim Mirza`s Version that is a master piece of Miniature, which has been illustrated by the artists of Mashhad school. The story of “Saint Josef's Survival from the Well” is one of the Haft-Owrang`s subjects illustrated by artists at the time. This paper is going to compare Jami's poems with the paintings of "Saint Josef`s survival from the well", attributed to Mozafar–Ali by descriptive-comparative method. It studies whether the literary style and figures of speech of Jami have affected the illustration of this painting, and measures the percentage of this influence through quantitative scales. It concludes that 22% of paintings are in line with the poems, while 78% of them are not. This shows the freedom of illustrators in their act of illustrating, their independency towards the poems, and their use of imagination, environment, and visage in creation of these works.

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Backgrounds: The fungal infection of tinea capitis is a common mycosis that affects the scalp superficially, especially in children. Oral treatment of this infection remains the preferred treatment process in clinical dermatology. Many antifungals available for dermatophyte treatment lead to treatment failure. Determination of antifungal susceptibility of dermatophytes in-vitro has been reported to be important to curb dermatophyte infections using effective antifungal drugs. The aim of this study was to investigate and determine in vitro minimum inhibitory concentration (MIC) of amphotericin B, ketoconazole, griseofulvin, terbinafine, and fluconazole against dermatophyte clinical isolates using agar dilution method.
Materials and Methods: In this study, in vitro susceptibilities of 32 dermatophyte clinical isolates collected from primary school pupils in Sokoto metropolis were investigated to five antifungals (fluconazole, terbinafine, ketoconzole, amphotericin B, and griseofulvin) using the CLSI agar dilution method.
Findings: The results obtained revealed that griseofulvin and terbinafine were the most potent antifungal agents among those tested.
Conclusion: Agar dilution method could be an alternative method for MIC-determination of antifungal drugs against dermatophyte species, since it is cost effective and affordable with consistent results, especially in developing countries.

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 One of the concepts of "even", which is the reporter of human experiential work, has been found in the Qurchr('39')an, is to explain its impact on Quranic conceptualizations, hence, among the various roles of the letter, even of attention to the texture and different applications are obtained, the role of which leads to the transmission of a route from the state, position or rank to another state and order. This is described by descriptive-analytic method and by explaining the main and focal meaning of the letter and extraction of verses in which even the abstract concept of "transference" is explained in a metaphorical way, provides a more detailed analysis of the function of this verse in the verses and the basis for constructing this concept, which is shaped by the physical and human experiences, is to illustrate the methodological importance in the more actual interpretation of the Qurchr('39')anic words, including the letters.

1. Introduction
The letter "Hatta" (even) in the Qur'an is used with high frequency to indicate the end of the hypothetical end, and in fact indicates the process of formation of the end point. But in different applications, another meaning is formed around this prototype meaning. Due to the ambiguous nature of the letter "Hatta" (even), this word was chosen as an example to examine its various conceptual maps. The main secondary and peripheral meanings obtained;   were metaphorical; That is, due to the local meaning of the letter, "Hatta" (even) in a specific incomprehensible concept is objectively manifested in the destination domain by mapping to the origin domain or illustrated through schemas without occurring mapping of concepts. Accordingly, the first branch of the conceptual network of this letter is the all-meaning branch, which has found semantic commonalities with the two words "when" and "otherwise". The second radial periphery of this letter is the metaphorical secondary meanings, which include "accumulation", "transfer", "cover", etc. The third branch has even taken on the task of schematic design, which depicts volumetric, kinetic, power, and directional schemas that have been examined with Qur'anic evidence.
 
2. Research purposes
Therefore, the purpose of this article is to discover the semantic periphery of the letter "Hatta" (even) and how it is plotted in the verses of the Qur'an, in this way, a more accurate interpretation of this word is presented in the verses and the shortcomings in understanding the verses are eliminated.
 
3. Research Questions
The present article seeks to answer the following questions:
1.    According to the cognitive approach, how can the sample preview of meaning of the preposition of the letter "Hatta" (even) be explained?
2.    Where are the semantic periphery of the letter "Hatta" (even?
3.    3. How are the interpretive omissions of the verses analyzed by determining the semantic radii?
This letter seems to have been used to illustrate the hypothetical end of the process of gradual formation of verb. To pay attention to this letter plays an important role in explaining the more accurate interpretation of the verses in which this letter is used. Therefore, it can be said that the study of this letter gives several meanings that are connected in the meaning of the sample; therefore, it forms a periphery of meanings around the central meaning.
 
4. Methodology
Regarding the research approach, the researchers' view to obtain the semantic periphery of letters, even in the verses of the Qur'an, is a view that pays attention to the findings of cognitive linguistics. In fact, from the point of view of cognitive linguists such as Lakoff and Johnson, the authors have analyzed the content of verses in which the word has even been used. Regarding the research method, it should be said that the method used in this paper is conceptual analysis. Conceptual analysis is a method that is used to express the meaning and concept of words and phrases, in order to discover the hidden intentions of the speaker behind his statements.
 
5. Result
According to the studies conducted in the text of the article, the letter "Hatta" (even) in the Qur'an has a central meaning with the concept of a hypothetical end. But the function, even in the applied context of the verses, has not only conceptualized the same meaning, but has also encoded a periphery of other radial meanings by being placed in different structures. Accordingly, the letter even has a periphery of meanings, not a specific meaning. Therefore, sometimes with all the meanings of Ki and Ella, it is included in the inclusive expansion of its meaning, in some cases, it explains metaphorical meanings such as impossibility, result, condition and aggregation, and so on. In this way, by using this letter, a tangible and physical domain is the basis of the abstract domain, so that through this, complex revelatory concepts are brought closer to the audience's mind, in other words, they are in the domain of recognizing them. Finally, a conceptual analysis of letter "Hatta" (even) using the method of cognitive semantics showed that this word sometimes drew schemas such as volumetric, kinetic and power schemas to simplify non-empirical concepts. With the discovery of this semantic periphery, another consequence was the correction of misunderstandings and interpretive tolerances that arose from ignoring the diversity of the conceptual role of this word in Qur'anic expressions.

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In present study, dried pomegranate peel of three dominant Iranian varieties was extracted by soxhlet extraction (SE) method via four solvents. In this study Five anthocyanins were identified and quantified in the extracts by high performance liquid chromatography (HPLC) coupled with ultraviolet-visible (UV-Vis) spectrometric detector at wavelength of 517 nm according to their retention times and external standard method. According to the results extraction yield of Poost Siyahe Shirine Ardestan (PSSA) variety is more than other two varieties and extraction yield of ethanolic extracts is more than other solvents in p≤0.05. HPLC analysis was indicated pomegranate peel include of more mono glucoside anthocyanins than di glucoside anthocyanins also the most of anthocyanins particularly mono glucoside anthocyanins were detected in ethanolic extract obtained from dried peel of PSSA variety.    

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One of the key motifs in Shahnameh is the struggle between evil and good. Motifs serve a unique and essential role in the text’s visual and narrative networks because of their distinctive repeating feature and characterization. As a result, they assist in enhancing the text’s semantic layers. In Shahnameh and epic literature, the struggle between evil and good permeates human social interactions and appears as motifs in heroic and epic stories. Motifs are used by the painter to create visuals throughout the text visualization process, and visual elements are placed in the composition in line with the motifs employed in the literary text and take on the function of symbols and signs. This study examined the roles that literary motifs play in the visualization of an epic narrative and in shaping the visual narrative. The main research question was: What functions do the literary motifs from Rostam’s Seventh Labor play in rendering paintings and transforming the text of Shahnameh into a visual text, and what techniques does the painter employ to visualize such motifs. A descriptive-analytical methodology was used in this qualitative study. A desk study was used to collect the data. The results showed that the motifs of the text are represented in the visual symbols and signs of the paintings. Paintings can be composed and planned utilizing these aspects in accordance with the priority of motifs employed in the literary narrative thanks to this visual translation from the literary text.
Extended Abstract
Recurring and salient in pictorial and narrative networks of the text, motifs have a prominent and fundamental role in literature. They foreground the literary text, adding layers of meaning. Good versus evil is a major motif in Ferdowsi’s Shahnameh where the struggle eventually surfaces in humans and social life, manifested in the form of heroic stories and epics. The battle of Rostam and Div-e Sepid (the White Demon) is one of Shahnameh’s stories illustrated frequently in the miniatures of different periods, spotlighting the importance of its illustration. The general theme of the “Haftkhān” (known in English as the “Seven Labours of Rostam”) is the hero (good) saving Iran and the king from the demon (evil) and ultimately, his victory over evil after undertaking seven difficult tasks. The major motifs in the literary text used in this narrative network include real human characters (hero or good or Rostam), real-bestial characters (Rakhsh), mythical-legendary elements (evil force or Div-e Sepid), events encompassing the main actions in the story (slaying Div-e Sepid, overcoming evil, and dropping the blood of the demon’s liver in Kay Kavus’s eyes to restore his sight), symbolic objects (the blood of the demon’s liver), natural elements (black cave), unusual incidents (the seven labours). In the process of illustration, the miniaturist uses motifs to produce the images. Therefore, pictorial elements become symbols when they are placed in the composition according to the motifs. The contribution of literary motifs to shape the pictorial narrative in the illustration of an epic was a central discussion in this article. This study attempted to answer the following main questions: What is the role of literary motifs of the “Haftkhān” in the illustrated miniatures of the story and the process of turning the text of Shahnameh into pictorial text? What techniques have miniaturists used to manifest these motifs in the illustrations?
Bound and free motifs, which form the narrative network of the text, were extracted and compared with the illustrated versions of the stories in miniatures. The purpose of this study was analysing the place of the literary motifs of the “Seven Labours of Rostam” in the formation of illustrated miniatures of this story. In this qualitative descriptive-analytical study, the data were collected through documentary and library research.
The results showed that pictorial signs and symbols in the miniatures appear in congruence with the manifestation of the motifs in the text. Such an illustrated translation of the literary text has led miniaturists to utilize motifs used in the plot based on their priority in the composition and framing of their works.

 

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The purpose of this study was to evaluate the image processing technique in rice blast disease detection in field and controlled conditions. Using MATLAB software, images taken from field and controlled conditions were processed in three RGB, HSI and LAB color spaces. Then it was extracted by the gray area intensity profile, color properties, and threshold value for background image removal. After removing background in RGB, HSI and LAB color spaces, disease spots on rice leaf were determined. In RGB color space, by subtracting arrays by test and error, the blast patches on the leaf were separated from the rest of the image pixels. Hue was used in the HSI color space because this component was independent of light intensity variations, so blast blot identification was performed more accurately than the S and I components. In the LAB color space, the Kmeans clustering algorithm was used to segment the images into three clusters and was displayed in an independent cluster after labeling the image of blast disease spots. Finally, in order to determine the performance of the algorithms designed in three color spaces, the sensitivity factor, specificity and total accuracy were tested on the basis of the perturbation matrix for 500 image samples. In field and controlled conditions, the highest accuracy in detecting blast blots in the LAB color space was 94% and 98%, respectively. Overall, the results showed that the image processing method can be used to detect rice blast disease.

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Plant pests and diseases are categorized as one major group threatening to food security. In large farms, accurate and timely human diagnosis is not possible due to time consuming and possible misdiagnosis. Therefore, for immediate, automatic, appropriate and accurate detection of agricultural pests, the use of image processing and artificial intelligence, including deep learning can be very useful. In this study, convolutional neural network models have been developed to identify three common citrus pests in northern Iran such as citrus leafminer, sooty mold and pulvinaria using images of infected leaves, through deep learning methods. For this purpose, Resnet50 and VGG16 architectures are trained as well-known convolutional neural networks, applying the transfer learning method on 1774 images of infected citrus leaves, accumulated from natural and field conditions. In the training phase, data augmentation is used to increase the number of training samples, and to improve the generalizability of the classifiers. For experimental analysis, cross validation strategy is used to evaluate the accuracy of the convolutional neural network. In this strategy, all images are tested without any overlap between training and test sets. Based on the results, the accuracies of Resnet 50 and VGG 16 models are evaluated as 96.05 and 89.34%, respectively. Hence, the Resnet 50 model can convert the above method into a very suitable early warning or consulting system.