Mutations in single nucleotide are common but genetic mutation as deletion of whole gene is rare. Both of the genes, GSTM1 and GSTT1, selected in this study are polymorphically deleted and have importance not only in xenobiotic metabolism but also in chemotherapy of certain drugs. Genetic deletion of GSTM1 and GSTT1 was carried out by using PCR and gel electrophoresis in local population. The results depicted 54% deletion of GSTM1 and 71% deletion of GSTT1. The percent deletion in female and male subjects was 66% and 52% for GSTM1 while GSTT1 showed 72% and 70% deletion in female and male volunteers respectively. A more than 50% deletion of GSTM1 and GSTT1 seen in local population predict impaired response to xenobiotics and some chemotherapeutic drugs.

Quran, being the highest authoritative source of the Divine knowledge and wisdom has been widely and deeply studied, analyzed, memorized and recited by Muslims as well as non-Muslims all over the world. With the advancement in the Information Technology, a number of Information Retrieval tools have been developed for the Arabic and English translated text of the Holy Quran. The task of meaningful Information Retrieval relies heavily on a knowledge-rich back-end database. This research presents a framework comprising a variant of WordNet that is adapted to suit the domain of Quran, and is named as Quranic WordNet Database. WordNet structure of semantically linked information is used as baseline and is augmented with a few newly created tables. New words and terms are added into its existing word bank along with their semantic relationships. An automatically extracted Vocabulary of Quranic Terminology in the form of conceptual hierarchy is also created. The terms have been arranged in a hierarchy of concepts that appear in the English translations of the Quran.

Over the last 3 decades, research in identifying what factors can lead to a quality audit has proliferated. Quality of audit is threaten by Quality Threatening Behaiour (QTB). The recent scandals of US-listed Chinese firms and the standoff between the US Securities Exchange Commission (SEC) and PCAOB; Chinese authorities highlights the urgency of this issue. For survival and growth of the profession the audit practitioners and standard setter in China need to employ special attention to examine QTB. This article fill this Gap, First, aim is to look the applicability of Theory of Planned Behaviors (TPB) in the context of Quality Threatening Behaviors (QTB). Second, the purpose of this paper is to show how TPB can contribute towards developing better understanding between auditors’ intention and behavior.

Feature extraction using Electrocardiogram (ECG) heartbeat is used commonly and it is method an important in arrhythmia diagnosis from the heart disease. In this study, first allocation according to the type of arrhythmia data obtained from MIT BIH database (446 beat of APC arrhythmia, 796 beat of LBBB arrhythmia, 587 beat of Normal type, 348 beat of RBBB arrhythmia, 176 beat of SVTA arrhythmia), then was done pre-process of beats and was obtained feature extraction of beats which both morphological features in time domain and Discrete Wavelet Transform (DWT) fourth level details coefficients in frequency domain. Also it was obtained combination of these both features. Last was done classification process by using the Feed Forward Network (FFN), Probabilistic Neural Network (PNN), Cascade Forward Back Propagation Network (CFBN) and Radial Basis Function (RBF) algorithms in Artificial Neural Network classification (ANN). This study has shown that using the combination of these both feature. Consequently it was obtained accuracy 99.74%, sensitivity 99.38%, and specificity 99.83% by using PNN classification.

intelligence and organizational effectiveness at Islamic Azad Universities of West Azerbaijan Province, Iran. Therefore, organizational intelligence was defined based on Karl Albrecht theory in seven aspects of strategic vision, shared fate, appetite for change, heart, alignment and congruence, knowledge deployment, and performance pressure. Statistical population of the present study was consisted of deans and chancellors of branches of Islamic Azad Universities of West Azerbaijan Province (N=72). According to Morgan Table, the statistical sample size was estimated 61 persons. Questionnaire was used to collect data in this research and it was provided to the statistical sample once its reliability and validity were measured. The questionnaires were collected and the data was summarized and classified using descriptive statistical methods. Pearson and Friedman tests were used to test the research hypotheses. Results of the study indicate to the relation found between organizational intelligence of managers and its aspects and organizational effectiveness at Islamic Azad Universities of West Azerbaijan Province.

In this paper, we consider a leptospirosis epidemic model with non lin-
ear incidences. First we find the local asymptotic stability of the disease free
equilibrium. We show that the disease-free equilibrium is stable if the reproduc-
tive number is less then unity and unstable elsewhere. We also find the local
asymptotical stability of endemic equilibrium. By using the Lyapunov theory we
present the global stability of the disease-free for R0 ≤ 1. The endemic equilib-
rium is globally asymptotically stable for R0 > 1. Finally, the numerical results
of nonlinear incidence is shown.

Islamic banking is one of the fastest growing segments of the banking industry. Totally, it is similar to common banking, but its system is interest-free and based on sharing the profit and loss between the borrower and the bank. Also, the profit is calculated according to the Islamic rules and principles. It is more than thirty years that the first Islamic non-usurious bank has been established. In this period, this type of banking has been significantly developed qualitatively and quantitatively. The main purpose of this paper is to study the challenges and strategies to avoid the usury in banks in terms of financial management. According to the method, the research is a descriptive/survey research which professionally and comprehensively assesses the relation of resource mobilization and allocation methods with avoiding the usury in commercial banks.

This paper presents the development and implementation of a new and practical fuzzy switching position controller for process industry control. Compatible with the structure of a bang–bang controller, a two-input fuzzy switching position controller with five rules is proposed. The idea is based on constructing a fuzzy switching control law which is functionally analogous to a traditional bang–bang controller. Fuzzy logic rules are used to enable an improved version of the conventional bang–bang control. The objective is to replace the conventional bang–bang controller with the proposed fuzzy switching position controller. A modified three-stage bang–bang controller is also designed and implemented. This controller is tested under the same conditions as that of the proposed fuzzy switching position controller, and its performance is used as a basis of comparison by which both controllers are measured. Both controllers are implemented in real time, using the position control of a brushless dc motor drive found in the majority of these new robotic devices. Simulation results show that the fuzzy switching position controller produces adequate control performance, particularly in handling nonlinearities and external disturbances. The efficacy of the fuzzy switching position controller is demonstrated by its positive results, practicality, and feasibility in the process industry sector, when compared with a modified traditional bang–bang controller.

Wireless Sensor Networks (WSNs) are self-organized distributed networks composed of a large quantity of energy-limited nodes. WSN constrains are well known; minimum energy consumption, localization and self organization. To solve these issues separately, more transmission power is required. To overcome this problem, a combined protocol is proposed in this work named as SLEEP (Self organized Location aware Energy Efficient Protocol). The protocol creation is divided into four phases; 1. Localization aware structure, 2. Topology control 3. Energy efficient model and 4. self organization in SLEEP. The simulation results show that the proposed work significantly out performs the in terms of energy efficiency and quality of service (QoS) parameters like scalability with different network size and packet delivery ratio.

Recent study reveals that copper matrix composites reinforced with solid lubricants have better wear characteristics. However, lowest raw material utilization and attaining a near net shape pose a challenge for the researchers in the process of the development of composites. To overcome these issues, composites are being developed through powder metallurgy. The present investigation aims to develop Mos2 added, self lubricated copper-tin hybrid composite with different weight fractions of MoS2 and characterize mechanical and tribological properties. The engineering application of composites demands that they should have high wear resistance, low density and moderate hardness. In order to evaluate the behavior of composites satisfying multiple performance measures, Taguchi approach has been adopted. An orthogonal array and an analysis of variance were employed to the influence of parameters like as Wt. % of MoS2,load, sliding speed and sliding distance on dry sliding wear of the composites. The objective of the model was chosen as ‘smaller the better’ characteristics to analyze the dry sliding wear characteristics. Results show that sliding distance has the highest influence followed by a load and reinforcement. Finally, confirmation tests were carried out to verify the experimental results. The morphology of the worn-out surfaces was examined to understand the wear mechanisms. The responses have been predicted using both Artificial Neural Network (ANN) and Taguchi method so that a comparative evaluation can be made.From this, it is concluded that, neural network predicts the responses more accurately than Taguchi prediction.