102 research outputs found
THE STUDY OF THE WORD “LONELINESS” IN THE POEMS OF SOHRAB SEPEHRI IN THE FRAMEWORK OF PSYCHOLINGUISTIC
No full textSohrab Sepehriis concidered as one of the geniuses of Persian poetry by creating the artistic and mythical themes. The present study is a descriptive-analyticeone which data has been collected on the basis on “library method” and the word “Loneliness” has been accurately studied in Sohrab Sepehri complete poetical work with the psychological approach to language.In this research, Sohrab Sepehri`s complete poetical worka in the book named “hasht ketab” have been scrulinized according to Leech view (1969).The author seeks to answer these questions: what items has Sohrab Sepehri benefited from to present the element “loneliness”on the basis of psycholinguistics? And which of his books has presented the highest frequency of the element “loneliness”? This research illustrates the fact that Sohrab Sepehri has benefited from “Sense of Words” and due to the fact that he has also been a skillful painter besides being an out standing poet, it is speculated that he has also used the element “color of words”. The results indicate the element of loneliness has been found to be a very significant item in Sohrab Sepehri`s poetical works, but the frequency of presenting this element overweighs in one of his books named “Death of color”.</jats:p
Solutions of modified equation of motion for laminar flow across (within) rigid (liquid) sphere and cylinder and resolution of Stokes paradox
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Genetic diversity of <i>Croton Yellow Vein Mosaic Virus</i> and betasatellites associated with yellow vein mosaic disease of S<i>ida acuta</i> in India
No full text"Mehrab" In the frame of form
No full textThis article aims to discuss the focus of the Russian Formalism on the literariness of the texts, and its attempt to identify the devices which distinguish a literary form from an ordinary one. It also clarifies the fact that the new American critics argued for organic unity in poetry, i.e. poetry is a paradox that the critic, without being influenced by or paying attention to the author's intention, should try to solve the ambiguities and puzzles internal to it, in order to accomplish the understanding of the meaing, and to achieve the organic unity. The author, considering both of the above- mentioned approaches, explores Sohrab Sepehri 's poem entitled "Mehrab"
Computational Algorithms for Topological Cycle Indices of Tert-Butyl Alcohol by Computational Science
No full textRecently, the dominant classes and integer-valued characters of un-matured full non-rigid group of tert-butyl alcohol has been found by the third author (see, J. Nano Res. 11, 7-11, 2010). In this paper, the unit subdued cycle index table introduced by S. Fujita for the above molecule is successfully derived for the first time.</jats:p
Generalized Variant Support Vector Machine
No full textWith the advancement in information technology, datasets with an enormous amount of data are available. The classification task on these datasets is more time- and memory-consuming as the number of data increases. The support vector machine (SVM), which is arguably the most popular classification technique, has disappointing performance in dealing with large datasets due to its constrained optimization problem. To deal with this challenge, the variant SVM (VSVM) has been utilized which has the fraction ({1}/{2})b{2} in its primal objective function, where b is the bias of the desired hyperplane. The VSVM has been solved with different optimization techniques in more time- and memory-efficient fashion. However, there is no guarantee that its optimal solution is the same as the standard SVM. In this paper, we introduce the generalized VSVM (GVSVM) which has the fraction ({1}/{2t})b{2} in its primal objective function, for a fixed positive scalar t. Further, we present the thorough theoretical insights that indicate the optimal solution of the GVSVM tends to the optimal solution of the standard SVM as t rightarrow infty . One vital corollary is to derive a closed-form formula to obtain the bias term in the standard SVM. Such a formula obviates the need of approximating it, which is the modus operandi to date. An efficient neural network is then proposed to solve the GVSVM dual problem, which is asymptotically stable in the sense of Lyapunov and converges globally exponentially to the exact solution of the GVSVM. The proposed neural network has less complexity in architecture and needs fewer computations in each iteration in comparison to the existing neural solutions. Experiments confirm the efficacy of the proposed recurrent neural network and the proximity of the GVSVM and the standard SVM solutions with more significant values of t. Information and Communication Technolog
Investigating a Library of Flavonoids as Potential Inhibitors of a Cancer Therapeutic Target MEK2 Using in Silico Methods
No full textThe second leading cause of death in the world is cancer. Mitogen-activated protein kinase (MAPK) and extracellular signal-regulated protein kinase (ERK) 1 and 2 (MEK1/2) stand out among the different anticancer therapeutic targets. Many MEK1/2 inhibitors are approved and widely used as anticancer drugs. The class of natural compounds known as flavonoids is well-known for their therapeutic potential. In this study, we focus on discovering novel inhibitors of MEK2 from flavonoids using virtual screening, molecular docking analyses, pharmacokinetic prediction, and molecular dynamics (MD) simulations. A library of drug-like flavonoids containing 1289 chemical compounds prepared in-house was screened against the MEK2 allosteric site using molecular docking. The ten highest-scoring compounds based on docking binding affinity (highest score: −11.3 kcal/mol) were selected for further analysis. Lipinski’s rule of five was used to test their drug-likeness, followed by ADMET predictions to study their pharmacokinetic properties. The stability of the best-docked flavonoid complex with MEK2 was examined for a 150 ns MD simulation. The proposed flavonoids are suggested as potential inhibitors of MEK2 and drug candidates for cancer therapy
Delivery of siRNAs against MERS-CoV in Vero and HEK-293 cells: A comparative evaluation of transfection reagents
No full textBACKGROUND: A new coronavirus was identified in Jeddah, Saudi Arabia in 2012 and designated as Middle East Respiratory Syndrome Coronavirus (MERS-CoV). To date, this virus has been reported in 27 countries. The virus transmission to humans has already been reported from camels. Currently, there is no vaccine or antiviral therapy available against this virus. METHODS: The siRNAs were in silico predicted, designed, and chemically synthesized by using the MERS-CoV-orf1ab region as a target. The antiviral activity was experimentally evaluated by delivering the siRNAs with Lipofectamine™ 2000 and JetPRIME(R) as transfection reagents in both Vero cell and HEK-293-T cell lines at two different concentrations (10.0nM and 5.0 nM). The Ct value of quantitative Real-Time PCR (qRT-PCR) was used to calculate and determine the reduction of viral RNA level in both cell supernatant and cell lysate isolated from both cell lines. RESULTS: The sequence alignment resulted in the selection of highly conserved regions. The orf1ab region was used to predict and design the siRNAs and a total of twenty-one siRNAs were finally selected from four hundred and twenty-six siRNAs generated by online software. Inhibition of viral replication and significant reduction of viral RNA was observed against selected siRNAs in both cell lines at both concentrations. Based on the Ct value, the siRNAs # 11, 12, 18, and 20 were observed to be the best performing in both cell lines at both concentrations. CONCLUSION: Based on the results and data analysis, it is concluded that the use of two different transfection reagents was significantly effective. But the Lipofectamine™ 2000 was found to be a better transfection reagent than the JetPRIME(R) for the delivery of siRNAs in both cell lines
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