HOW HASAN ROOHANI'S DISCOURSE GOT DOMINANT IN THE ELEVENTH ROUND OF PRESIDENTIAL ELECTION OF IRAN: A CRITICAL DISCOURSE ANALYSIS

Within the political arena of Iran, parties, media and political activities are passing through initial stages; yet, they get suddenly active during the presidential election campaign. Hence, a proper investigation into the dominant discourses during this time can tell a lot about the politics of the country. The present paper aims at conducting a critical discourse analysis on the antagonistic discourses of Hasan Roohani and Mohammad Bagher Ghalibaf to demonstrate how the former one’s discourse gets dominant and wins the election. The headlines of two supporting newspapers, Keyhan, supporting the fundamentalists, and Shargh, advocating the reformists, are analyzed as well to see how they try to back their candidates

Studying the Behaviour of Model of Mirror Neuron System in Case of Autism

Several experiment done by the researchers conducted that autism is caused by the dysfunctional mirror neuron system and the dysfunctions of mirror neuron system is proportional to the symptom severity of autism. In the present work those experiments were studied as well as studying a model of mirror neuron system called MNS2 developed by a research group. This research examined the behavior of the model in case of autism and compared the result with those studies conducting dysfunctions of mirror neuron system in autism. To perform this, a neural network employing the model was developed which recognized the three types of grasping (faster, normal and slower). The network was implemented with back propagation through time learning algorithm. The whole grasping process was divided into 30 time steps and different hand and object states at each time step was used as the input of the network. Normally the network successfully recognized all of the three types of grasps. The network required more times as the number of inactive neurons increased. And in case of maximum inactive neurons of the mirror neuron system the network became unable to recognize the types of grasp. As the time to recognize the types of grasp is proportional to the number of inactive neurons, the experiment result supports the hypothesis that dysfunctions of MNS is proportional to the symptom severity of autism. Keywords— Autism, MNS, mirror neuron, neural network, BPT

Factors Affecting the Effectiveness of Social Media for Recruitment: An Exploratory Factor Analysis Approach on Private Universities in Bangladesh

Social media are crucial weapons which are used as online recruitment tool at present time.  The study is designed to explore the most crucial factors which affect the effectiveness of social media for recruitment. This paper is basically prepared based on 50 respondents from 10 private universities of Bangladesh to understand the cost and time effectiveness of social media for recruitment. Data used for this study have been collected by using a structured questionnaire of 5 point Likert scale which consists of 15 specific questions. The study is conducted by factor analysis and attained 4 factors including Information Quality, Privacy & Security, Cost & Time and User Friendly that influence the effectiveness of social media for recruitment.  Another statistical tool t-test has been also used to prove the hypothesis. The study also reveals that these four factors are in satisfactory level. From the study concerned people in this arena can get a specific view about the factors that directly influence the effectiveness of social media for recruitment and take corrective actions to improve the present situation. Keywords: Social Media, Social Media Recruitment, Benefits of Social Media Recruitment, Factor Analysis and T-test

Bardeen Black Hole Thermodynamics from Topological Perspective

In this paper, we use the generalized off-shell Helmholtz free energy method to explore the thermodynamic properties of Bardeen black holes (BD BHs) from a topological perspective based on Duan's topological current $\phi$-mapping. We consider various structures of BD BHs, including regular BD-AdS BHs, BD-AdS BHs in Kiselev's model of quintessence, BD BHs in massive gravity (MG), and BD BHs in 4D Einstein-Gauss-Bonnet (EGB) gravity. We demonstrate that these BHs have one topological classification (TC), i.e., TC is +1 for all BHs considered, and the addition of MG or GB terms, etc., does not change the topological numbers.Comment: 16 pages, 4 figures, 1 table, Accepted for publication in the Annals of Physic

2D and 3D Covalent Organic Frameworks:Cutting-Edge Applications in Biomedical Sciences

Covalent organic frameworks (COFs) are crystalline porous organic structures with two- or three-dimensional (2D or 3D) features and composed of building blocks being connected via covalent bonds. The manifold applications of COFs in optoelectronic devices, energy conversion and storage, adsorption, separation, sensing, organocatalysis, photocatalysis, electrocatalytic reactions, and biomedicine are increasing because of their notable intrinsic features such as large surface area, porosity, designable structure, low density, crystallinity, biocompatibility, and high chemical stability. These properties have rendered 2D and 3D COF-based materials as desirable entities for drug delivery, gene delivery, photothermal therapy, photodynamic therapy, combination therapy, biosensing, bioimaging, and anticancer activities. Herein, different reactions and methods for the synthesis of 2D and 3D COFs are reviewed with special emphasis on the construction and state-of-the-art progress pertaining to the biomedical applications of 2D and 3D COFs of varying shapes, sizes, and structures. Specifically, stimuli-responsive COFs-based systems and targeted drug delivery approaches are summarized