European Journal of Scientific Research

Volume 102 No 1
May, 2013

Social Intelligence and Language Proficiency: Are They Related?
Ebrahim Khodadady and Ima Mansori Namaghi

This study explored the relationship between social intelligence and English language proficiency by employing Reading the Mind in the Eyes Test (RMET) developed by Baron-Cohen et al. (2001) and cloze multiple choice item test (CMCIT) designed by Hale et al. (1988) as their representative measures, respectively. The administration of the two tests to 181 undergraduate university students of English Language and Literature and Theology and correlating the scores obtained on the two tests showed that social intelligence is significantly related to language proficiency. When the participants were, however, classified into low, middle and high proficiency groups on the basis of their z-scores on the CMCIT and the social intelligence of these three groups were compared with each other, the mean score of middle and high proficiency groups did not show any significant difference on the RMET and were thus collapsed into one, i.e., middle-high group. The correlational analysis of the scores obtained by low and middle-high proficiency groups on the RMET and CMCIT showed that there is only a significant relationship between the social intelligence and language proficiency of middle-high group. The results are discussed and suggestions are made for future research.
Keywords: Social intelligence, language proficiency, mental states, close multiple choice items

Biocompatibility Assessment on Chemically Synthesized Graphene Derivatives
C. Chellaram, A. Alex John, T. Prem Anand, M. Mark Praveen, R. Sivakumar and H. Archana

The structure and properties of graphene depend on particular synthesis method and degree of oxidation. Graphene and graphene oxide (GO) layers are about 1.1-1.2 nm thick and they have become a hotspot so far and have been actively investigated to build new composite materials. The graphene materials are having a potential application in the various fields of energy storage catalysis, electrochemical devices, cell imaging, adsorption of enzyme, biosensors, drug delivery etc. Objective of this work, to synthesized GO and reduced graphene oxide (rGO) by chemical method and its have been characterized using spectroscopy (Fourier Transform Infrared, Raman, Ultra Violet-vis spectroscopy) and X-Ray Diffraction technique. The biocompatibility studies of the graphenes were analyzed on the biosystem. The results show that rGO has more toxicity than GO.
Keywords: Graphene Oxide, Reduced Graphene Oxide, Colony counting

Discrete Shearlet Transform Based Texture Classification Using Block Based Energies
M. Kanchana and P. Varalakshmi

In this paper, an efficient approach for the classification of texture images based on Discrete Shearlet Transform (DST) is proposed. The classification of texture is achieved by extracting block based energy from the shearlet decomposed image. First, the texture image is decomposed by DST at various decomposition levels with multi-directions. Then the proposed block based energy is extracted from each sub-band of the decomposed image. The block size used in the proposed system varies from 4 to 64. These block based energies are used as features to classify the given texture image using robust nearest neighbor classifier. Brodatz database texture images are used to evaluate the proposed method. The performance is compared with state of art techniques involving wavelet transform, gabor transform and statistical features. The results show that the proposed shearlet transform based classification provides better classification accuracy.
Keywords: Texture, image classification, discrete shearlet transform, shearlet energy, nearest neighbor classifier

Effect of SDS on Plasmid Isolation and Antimicrobial Resistance Pattern of Clinical Isolates of Staphylococcus aureus
Yakut-Binte-Sadek, Mohammad Shahriar, Waheeda Nasreen, Mahboob Hossain and Mohiuddin Ahmed Bhuiyan

In the present study antimicrobial resistance pattern of 32 clinical isolates of methicillin-resistant Staphylococcus aureus (MRSA) to 17 antimicrobial drugs was done from which 7 multidrug resistant isolates were selected. Amongst the 32 isolates of Staphylococcus aureus 21(66%) were found resistant to amoxicillin, 19(59%) to cloxacillin, 18(56%) to oxacillin, 32(100%) to penicillin G and most surprisingly 15(53%) to vancomycin. They showed maximum (91%) sensitivity to both gentamicin and imipenem, 84% to tetracycline and 81% to ciprofloxacin; moderate sensitivity to neomycin (78%) and rifampicin (75%); low sensitivity to ceftriaxone and chloramphenicol (66%) and erythromycin (53%). Sensitivity showed less than 50% to cephalexin, cephradin, cotrimixazole and methicillin group antibiotics. In this study 1% SDS with acridine orange was used to isolate plasmids from the clinical isolates. Isolates showing resistance to an antimicrobial drug became sensitive to the same antimicrobial when grown in luria broth in presence of 1% SDS and 1% SDS plus acridine orange. The change in sensitivity pattern was to ceftriaxone, cephalexin, cephradine, cotrimoxazole, gentamicin, neomycin, and tetracycline. After gel electrophoresis, plasmid profiles of the isolates showed that those isolates grown in presence of 1% SDS and 1% SDS plus acridine orange were more prominent than those without SDS treatment.
Keywords: MRSA, resistance, sensitivity, SDS, acridine orange, plasmid.

Factors Which Lead to Increase Overweight and Obesity within the Age (10-15) Years in Jordan
Omar Turki Mamdoh Ershidat

This research aims at studying some factors associated with obesity among students within the age of 10.00 -15.00 years old. The research was conducted in preparatory-schools ranging from 4th-8th grade. Information was collected from 234 participants through a questionnaire. The results revealed the following about participants: 166 of the participants comprising (70.9%) of the study sample were classified as 'normal' according to body mass index, wherever its values are ranged from 10.67 to 20.00, with a mean of 16.57 and standard deviation of 2.02. When body mass index values are ranged from 20.05 to 36.00, the number of students suffering from excess body weight (obesity) was 68 comprising 29.1% of the study sample; with mean of 23.31, and standard deviation of 3.40 as shown in table 3 below. The study also offers many recommendations to overcome the problem of obesity and overweight among adolescents.
Keywords: Overweight, obesity, Jordan.

Strategic Performance Analysis of IDVR and IPFC
S. Arumugom and M. Rajaram

This paper initiates a comprehensive comparison strategy among the Interlined Power Flow Controller (IPFC) and Interline Dynamic Voltage Restorer (IDVR). The fundamental opearation of IDVR and IPFC has compared. The transmission line performance with IDVR and without IDVR presented in a strategic manner and result analysis made for further comparison with IPFC. The MATLAB/Simulink based model developed for IDVR and IPFC; the output response of the system has compared and an awesome conclusion proposed.
Keywords: Interlined Power Flow Controller (IPFC), Interline Dynamic Voltage Restorer (IDVR)

Examining the Brand Image on Public Relations and Customer Loyalty
Leila Nakhaei

Because of global competition space and changes that are occurred rapidly today, organization have to take actions that pave the way for organizational performance to be more effective in order to maintain their customers. Maintaining and strengthening the customer loyalty along with a company's products or services become as a main and central point of marketing activities. Customer loyalty can lead to lower marketing costs and attract more customers. In addition, loyal customers may promote world-to-word world so rapidly, combat with competitors` strategies and created additional benefits. This study aims to investigate the relationship between the customer public relations and the customer loyalty and it is for testing the role of brand image as a moderator in the relationship. The results indicate that the public relations view is effective on customers` loyalty but brand image cannot adjust the relationship between two variables of public relations and customer loyalty.
Keywords: Public relations view, customer loyalty, brand image, consumer loyalty, public relations.

An Introduction to Some Special Classes of Super Strongly Perfect Graphs
R. Mary Jeya Jothi and A. Amutha

A Graph G is Super Strongly Perfect Graph if every induced sub graph H of G possesses a minimal dominating set that meets all the maximal complete sub graphs of H. In this paper, we have characterized the Super Strongly Perfect graphs in Chordal graphs. We have presented the results on Chordal graphs in terms of domination and co-domination numbers ? and . We have given the relationship between diameter, domination and co - domination numbers of Chordal graphs. Also we have analysed the structure of Super Strongly Perfect Graph in Strongly Chordal graphs, Interval graphs, Path graphs and Meyniel graphs.
Keywords: Super Strongly Perfect Graph, Domination and Co-Domination numbers, Chordal graphs, Interval graphs and Meyniel graphs.
JEL Classification Codes: C

Granular Computing, A Topological Approach for Decision Making
Ad El-Monem M. Kozae and S. A. Saleh

Granular computing can be described as a process that occurs on two steps which are granulation and computation. On the other hand topological structures and its generalizations are constructed using granules, and topological basic concepts are tools for using types of granules to compute quantitive measurements from granules which are, in almost cases,qualtitive concepts. Thus supra topologies as generalized topological structures can be viewed as general mathematical models for qualitative and quantative real life problems.Also,topological facts and concepts are important tools for discovering rules that help in decision making and taking. The concept of supra topological granulation is introduced and studied. This structure is based on granules associated with general binary relation resulted from the available information on the collection of objects in information systems. Approximations based on this type of granulations are given, examples and counterexamples are presented. Also ,we give comparisons between suggested approximations and Yao approximations. Applications example with real valued data is given to indicate the suggested supra granulation method.

An Efficient Modified Dual Cluster Head Strategy using PSO for Improved Network Lifetime of WSN
A. Karthikeyan, Akanksha Mohan Gupte, Suryalok Sarkar, T. Shankar and Sivacharanreddy.V

PSO (Particle Swarm Optimization) is an efficient cluster based heuristic technique which has proved its competence for solving optimization problems in various fields. PSO can be further extended by implementing Dual Cluster heads in the basis of same algorithm. This dual cluster head strategy is capable of achieving load balancing and extending the re- election cycle of cluster head selection in large Wireless Sensor Network (WSN) thereby resulting in balanced energy consumption throughout the network and extending the network longevity significantly. The main objective of designing any WSN is to achieve energy optimization and enhanced network lifetime. In this paper, is presented a simple but a very effective way to further enhance the performance of the Dual Cluster Head clustering technique using PSO (D-PSO) without increasing much computational complexity in order to achieve considerable improvement in network lifetime.
Keywords: Dual cluster head PSO (D-PSO), heuristic technique, Leach, network lifetime, Particle swarm optimization (PSO), wireless sensor network (WSN)

The Relationship between Strategy, Structure, and Performance in Food Industries
Shahla Saffarzadeh and Gholamreza Jandaghi

Existence of balance between competitive strategy and supply chain strategy is a company's obligations in the current competitive world, it is proportional to gain and maintain competitive advantage. On the other hand, there are very close ties between structure and strategy. Given the importance of the concept of strategy, and the necessity of considering this important issue in manufacturing industries, the aim of this study is to examine the relationship between competitive and supply chain strategy along with consideration of the role of the organizational structure as a variable affecting this appropriateness in Yazd province food industries of Iran. While, it is considered the impact of structure on performance too. Accordingly, the study is addressed based on Chase model of competitive strategy dimensions, Ballou model of supply chain strategy dimensions, Higginson and Alam model on performance criteria. Moreover, complexity, formalization and centralization are considered as the dimensions of structure. Samples of the study are executives of Yazd food companies and inferential statistics, structural equation modeling, is used to analyze data. Data analysis shows significant causal relationship between competitive strategy and supply chain strategy and performance is changed according to the type of competitive strategy. The results also indicate that the performance does not change depending on supply chain strategy. The role of organizational structure as a moderator of the relationship between competitive and supply chain strategy and its impact on performance is also confirmed.
Keywords: Competitive Strategy, Supply Chain Strategy, Organizational Structure, Business Performance, Food Industry.

Development of Artificial Neural Network and Non Linear Regression Model of Color Fast Finish Process – A Textile Case Study
K.L. Jeyaraj, C. Muralidharan, T. Senthilvelan and S.G. Deshmukh

The response surface methodology (RSM) is helpful in developing a suitable approximation for the true functional relationship between the independent variables and the response variable that may characterize the nature of the process. In this experimental design, four factors were studied. The experiments were conducted according to the layout of rotatable central composite design of 24 factorial design, preferably with 6 center points and 6 axial points. Five response functions values are obtained. Empirical relationships were developed to predict the responses of color fast finish on Article no: 1846 (20s cotton × 20s cotton 108 × 56 3/1 Drill) and shade: Royal blue at the 95 percent confidence level, incorporating color fast finish process parameters. From the estimates of anova, normal probability plots and t-test the significance of all the factors effects, quadratic effects and interaction effects are ensured. Then a feed-forward three-layered back propagation neural network was used with numerical optimization technique namely scaled conjugate gradient learning algorithm. The ANN architecture used for this work is 4-131-1, with 4 corresponding to the input values, 13 to the number neurons in the hidden layer and 1 to the output. The predictive regression model is found to be capable of better predictions of responses of color fast finish. The perfectly designed central composite design is more suitable for the regression analysis in this case than artificial neural network. Also our color fast finish response models are well obliged for the quadratic models. So the regression provides better results in this case.
Keywords: Central composite design, Response surface methodology, ANN, Back propagation, Color fast finish

Connotation of Corporate Reputation - (A Conceptual Study)
Muhammad Tariq Khan, Sheraz Ahmed, Naseer Ahmed Khan and Sarfraz Tanvir

The concept of corporate reputation is of growing interest as intangible asset that provides the firms with a competitive advantage in the marketplace. This study reveals some of its aspects like concept, components, image’ & ‘identity, dimensions, its measurement, importance, and impacts.

Marketing Mix and Growth of Ps (A Conceptual Review Paper)
Muhammad Tariq Khan, Sheraz Ahmed, Naseer Ahmed Khan and Sarfraz Tanvir

Marketing mix is the most fundamental concept of marketing defined as: a set of controllable marketing tools that a company uses to create a desired response in the targeted market. Set of these tools or the elements of marketing mix are the basic, tactical components of a marketing plan. So ‘Marketing Mix’ were also referred and known as the Four P's i.e. product, price, place of distribution, and promotion. But the number of these Ps have increased gradually from 4 to 5, then 6, then 7, then 8 and lastly to 15. This paper, which is based on the extraction from studies of many researchers, tells the story of growth of Ps from 4 to 15.

Design a New Reconfigurable Architecture for Implementing High Speed FIR Filter
N.C. Sendhilkumar and E. Logashanmugam

This paper presents an architectural approach to the design of High speed Recon?gurable ?nite impulse response (FIR) ?lter. FIR digital filters are widely used in DSP by the virtue of its stability, linear phase, fewer finite precision error and efficient implementation. In this paper, new reconfigurable architectures of low complexity FIR filters are proposed, namely MSCD filter. The proposed architectures offer delay reductions and compared to the best existing reconfigurable FIR filter implementations in the literature and the proposed architectures have been implemented and tested on Spartan-3 xc3s200-5pq208 field-programmable gate array (FPGA) and synthesized.
Keywords: Channelizer, FIR filter, high speed filter, Reconfigurability