Islamic Azad University North Tehran Branch

About: Islamic Azad University North Tehran Branch is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Adsorption & Catalysis. The organization has 868 authors who have published 968 publications receiving 9987 citations.

Investigating the role of different industries on relationship between working capital management and Tobin’s Q

Abstract: Article history: Received May 12, 2013 Received in revised format 12 September 2013 Accepted 6 October 2013 Available online October 16 2013 This paper presents an empirical investigation to study the effect of industry type on relationship between Tobin’s Q and working capital management among selected firms from Tehran Stock Exchange. The proposed study gathers the necessary financial information from 219 different firms over the period 2001-2011 and categorizes them based on different sectors. There are five independent variables including current ratio, the ratio of current assets to total assets, debt ratio, the ratio of current liabilities to total assets and total cash. Using a linear regression by considering type of industry as dummy variable, the study detects that there was a positive and meaningful relationship between working capital and Tobin-Q in various industries. © 2013 Growing Science Ltd. All rights reserved.

Stockholder overreaction and mean reversion: Evidence from Tehran Stock Exchange

Abstract: Article history: Received 5 January 2014 Received in revised format 8 March 2014 Accepted 16 March 2014 Available online 20 March 2014 In this paper, we address the stockholder overreaction and mean reversion in specified major industry groups in Tehran Stock Exchange (TSE). This paper investigates this issue with panel data analysis and with particular attention to the Box-Jenkins Approach for stationary diagnosis with appropriate order and modeling stock prices with regard to specific industries. The study processes modeling of panels where stationary and mean reversion takes place in complementary analysis. The sampling intervals are explored monthly within the past few years. The results reveal that mean reversion presence in three industry group stock prices and industry stock prices would not behave in certain pattern.

(2,2'-Bipyridine)bis-(3-carboxy-pyrazine-2-carboxyl-ato)copper(II) dihydrate.

Abstract: The title six-coordinated distorted octa­hedral complex, [Cu(C6H3N2O4)2(C10H8N2)]·2H2O, consists of two 3-carboxy­pyrazine-2-carboxyl­ate anions and one 2,2′-bipyridine ligand. There is a twofold rotation axis positioned at the CuII center. The N atoms of the pyrazine ring occupy the axial positions and two proton-transferred O atoms of tbe acid together with the two N atoms of the 2,2′-bipyridine ligand complete the equatorial plane. The inter­actions existing in the crystal structure are inter­molecular O—H⋯O hydrogen bonds, and C—H⋯O and C—O⋯π inter­actions (O⋯π =3.145 A, C—O⋯π = 149.75°).

A Multi-agent PSO Algorithm to Determine the Membership percentage of Each Node in Overlapping Community in Social Networks

Abstract: The social network embodies real-life social graphs. Detecting communities or clusters from these graphs is an ill-posed difficult task. The communities are identified using the adjacent nodes that have shared edges and similar features. One of the principal concerns after community detection is to identify the active nodes in a network who attend several communities. So, finding communities that are overlapped in a social network is an important topic in social network analysis. This paper introduces a multiagent algorithm particle swarm optimization. The proposed algorithm detects overlapping as well as non-overlapping communities. Following the detection of overlapping communities, this algorithm can identify those nodes leading to overlapping and ultimately it can determine the affiliation ratio of each node to the given community. The algorithm uses a special type of coding to identify the number of communities without any prior knowledge. In my method, the modularity measure is used as a fitness function to enhance particle swarm. Several tests show that the proposed algorithm which is called Fuzzy Overlapping Community Detection based on Multi-Agent Particle Swarm Optimization (FOCDMAPSO), is superior compared with four other competitive algorithms. This algorithm is implemented over six well-known datasets in the literature. Our algorithm is accomplished in detecting nodes in overlapping communities with high accurateness. Furthermore, the proposed algorithm can detect the affiliation percentage of each node that leads to overlapping communities which is a novel feature in the area of the social network.

Gene expression of one important microRNA in blood and tissue samples of oral squamous cell carcinoma

Abstract: Materials and Methods: In this case-control study, 40 patients with oral squamous cell carcinoma and 40 healthy individuals as control were studied. Blood samples were collected from both groups. Also, 30 cancer tissue samples and 30 healthy tissue samples were prepared and evaluated. RNA was extracted from collected peripheral blood and tissue samples and evaluated for the expression level of miR-494 via real-time PCR technique. P. value values<0.05 were considered statistically significant.