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Bidel Dehlavi’s poems- as one of the prominent figures of Persian literature who was living out of Iran’s geographical frontiers – include popular culture especially Iranian culture. In the present study, his poems will be examined from the view point of the crystallization of popular culture. It was demonstrated in the first chapter that although he is a non-Iranian poet; Bidel Dehlavi was strongly influenced by Iranian thought and culture to reflect the folklore in his poetry in different ways, consciously or unconsciously. In this research, the sources and origins of some of the popular traditions and beliefs of Bidel's poetry, which are common in Indian and Iranian cultures, have been analyzed and revealed that in this respect, Bidel’s social and literary vision is the cultural background of Iran and his poem reflects Iranian culture.

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Citrus peel is a natural source of antioxidants and the use of its natural extracts to improve the quality of fish is increasing. The effect of orange peel extract on the chemical and sensory properties of Huso huso fillet when refrigerated (4±1 °C) was investigated. In this study, fish fillets with aqueous solutions of ethanolic extract of orange peel (w / w 5%) or (5 ml of extract in 100 ml of solvent), orange peel extract (w / w 6%) and orange peel extract (w / w 7%) were tested as natural preservatives for 30 minutes. Control samples were immersed in distilled water for 30 minutes. Control and treated samples were packed with ethanolic extract of orange peel and stored for 15 days. Samples are then taken at regular intervals for chemical properties of pH, free fatty acid (FFA), peroxide (PV), thiobarbituric acid (TBA), total volatile nitrogen bases (TVB-N) and sensory evaluation (texture, color, odor and acceptance) were studied. Analysis of the results of chemical tests and sensory evaluation showed that orange peel extract maintains good quality characteristics and increases the shelf life of fish samples during storage at refrigerator temperature. 7% orange peel extract and then 6% and 5% orange peel extract significantly (P <0.01) delayed the oxidation and hydrolysis of fat in the samples that treated with the Orange peel extract.

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Aims: Sinusoidal obstruction syndrome/veno-occlusive disease is a severe complication that can develop in up to 15% of adults following hematopoietic cell transplantation, resulting in congestion and damage due to the occlusion of small veins in the liver. This study aimed to identify novel blood biomarkers associated with veno-occlusive disease through bioinformatics analysis to improve early diagnosis and treatment outcomes.
Materials & Methods: This retrospective cohort study analyzed GSE164635 using R packages, specifically employing the affy package for data normalization before applying the Limma package for differential expression analysis in 2024. To identify significant miRNAs, a log fold change filter was set at greater than +1 or less than -1, with an adjusted p-value of less than 0.05. The multiMiR package was used to predict gene targets for the identified miRNAs, with data sourced from the mirTarBase and Tarbase databases. Pathway enrichment and gene ontology analyses of the common genes were performed using Funrich 3.1.3, and Cytoscape software was used to construct networks of commonly shared genes. Target gene prediction for these miRNAs was conducted using the multiMiR package in R, with data sourced from the mirTarBase and Tarbase databases.
Findings: Two upregulated miRNAs (hsa-miR-194-5p and hsa-miR-148a-3p) and two downregulated miRNAs (hsa-miR-342-3p and hsa-miR-150-5p) were identified. For the upregulated miRNAs, the network analysis revealed interactions with key genes, such as AGO2, CDKN1A, HSP90AA1, HSPA4, EP300, IGF1R, MYC, SMAD2, DICER1, and IL10. For the downregulated miRNAs, the interaction network identified significant genes, including EEF2, IGF1R, EP300, CCN2, DNMT1, SREBF1, CANX, ZEB1, SP1, and JUN.
Conclusion: The pathophysiology of VOD is greatly influenced by microRNAs, which play a crucial role in regulating inflammation, fibrosis, endothelial function, and cellular survival.

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MicroRNAs are a group of small non-coding RNAs that regulate gene expression in eukaryotes at the post-transcriptional level. MicroRNAs, through regulating the expression of large numbers of mRNAs, act as major regulators of various biological processes such as embryonic development, cell proliferation, differentiation, and apoptosis. Therefore, the identification of microRNAs and their target genes is very effective in finding the mechanisms of embryonic development, growth, and also the processes underlying the induction and progression of various diseases. Because of the high costs of molecular experiments, the identification of effective microRNAs through bioinformatics tools and computational biology is faster and cheaper than the experimental methods. Several online bioinformatics tools and databases have been developed and are freely available for predicting microRNAs target genes. The available online tools use a broad range of information, including sequencing data, gene expression data, and computational algorithms for predicting microRNAs target genes. Some of the most important of these online tolls are miRWalk, TargetScan, RNAhybrid, Diana-microT, miRanda, and MirTarget. The four main features of the interaction between a microRNA and an mRNA, including seed pairing, sequence conservation, free energy, and access to the binding site in a target are used in the algorithm of all of these prediction tools. This stud aimed to review the latest findings on the characteristics and capabilities of microRNA target prediction tools, comparing the performance of these tools, and finally introducing the most efficient tool in the field of target gene prediction for bioinformatics, biomedicine, and molecular medicine studies.

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Covid-19 is a highly infectious viral disease caused by SARS-CoV-2, which has spread worldwide since its emersion in December 2019, causing an unprecedented pandemic. Currently, it has no targeted vaccines or treatments, and effective treatment options are very limited. It is important to identify drugs that effectively inhibit a specific target of the SARS coronavirus. This is the third deadly outbreak of coronaviruses in human society which has put pressure on the global health care system and affected the global economy a well. However, the treatment options of Covid-19 are still very limited. The development of drugs that target and inhibit essential proteins in the viral life cycle is a practical approach to overcoming this hard situation. The main protease, a cysteine protease, is an attractive target for antiviral drugs against SARS-CoV-2 and other coronavirus infections due to its essential role in viral replication and transcription. To quickly detect effective compounds for clinical use, programs such as molecular docking drug design and virtual screening of pre-designed drugs to identify new compounds and drugs that target the main protease of the COVID-19 are performed. Combining these structural studies, virtual screening, and experimental screen, several therapeutic candidates such as repurposed drugs and ab initio designed drugs have been proposed. In this review study, suggestions for inhibitors and possible potentially effective drugs against the main protease of SARS-CoV-2 were discussed. This study paves the way for advanced experimental research to evaluate the pharmacological potential of these compounds for the treatment of Covid-19.

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Metaphorical systems are orderly groupings consisting of conceptual, ontological, and structural metaphors based on sensory experiences and are the result of our interaction with the surrounding environment. The term conceptual metaphor was introduced into the literature by George Lycoff and Mark Johnson, based on cognitive science models and semantic approaches, and with the question of whether conceptual metaphors are separate or interconnected. A new group called "metaphorical systems" was introduced, which includes the metaphor of the "great chain of existence" and the "structure of the event metaphor." This study tries to examine the types of metaphorical systems in selected poems from the work of Khalil Mutran and the poetic collection of Golchin Gilani to determine which types of metaphorical systems the two poets have used in their poetry? And what conceptual features have this kind of use of metaphor give to the poetry of Khalil Mutran and Golchin Gilani? The results indicate that Mutran describes the society as a phenomenon as well as a complex abstract system using the " great chain of existence " metaphor and its related features and the results that govern the individuals of the society, conceptualizes as an event using the "event structure metaphor". Golchin Gilani also deals with man, war and death as a phenomenon in the shadow of "metaphors of the great chain of existence" and uses the metaphors of "event structure" to conceptualize the fleeting moments of life, happiness and kindness in the mind of the audience.
Metaphorical systems are orderly groupings consisting of conceptual, ontological, and structural metaphors based on sensory experiences and are the result of our interaction with the surrounding environment. The term conceptual metaphor was introduced into the literature by George Lycoff and Mark Johnson, based on cognitive science models and semantic approaches, and with the question of whether conceptual metaphors are separate or interconnected. A new group called "metaphorical systems" was introduced, which includes the metaphor of the "great chain of existence" and the "structure of the event metaphor." This study tries to examine the types of metaphorical systems in selected poems from the work of Khalil Mutran and the poetic collection of Golchin Gilani to determine which types of metaphorical systems the two poets have used in their poetry? And what conceptual features have this kind of use of metaphor give to the poetry of Khalil Mutran and Golchin Gilani? The results indicate that Mutran describes the society as a phenomenon as well as a complex abstract system using the " great chain of existence " metaphor and its related features and the results that govern the individuals of the society, conceptualizes as an event using the "event structure metaphor". Golchin Gilani also deals with man, war and death as a phenomenon in the shadow of "metaphors of the great chain of existence" and uses the metaphors of "event structure" to conceptualize the fleeting moments of life, happiness and kindness in the mind of the audience.