LRS Bianchi Type-II space – time is considered in the presence of a perfect fluid source in the framework of f(R,T) gravity proposed by Harko et al. [Phy.Rev-D 84, 024020(2011)]. An exact cosmological model with an appropriate choice of the function f(RT) is obtained using a special law of variation for Hubble’s parameter proposed by Bermann ( Nuovo Cimento B 74. 182,1983). The physical behavior of the cosmological model is, also, studied.

The proposed system comes to overcome the problem of writing a C.V. Cover letter which requires some linguistic skills and a lot of experience in this domain in addition to its cost in term of time and money. The ACLGS solved the problem by developing an auto generated cover letter based on the user C.V. regardless its format. The ACLGS takes the user C.V. and the carrier announcement that contains the job requirements and the skills needed as input.The system solved the problem by building a template as a frame of slots each slot contains a required skill for the job; the system extracted the required information from the user CV and fills the slots in an automatic fashion. The ACLGS applies the Information retrieval methodologies to extract information with intelligence trends to mine the user C.V. in terms of part of speech tags and some of indicator words that the system used to recognize the proper data and required information. In addition, the system specifies a set of features for each slot in the form. The user C.V. clustered into a number of categories (e.g. Personal information, Qualifications, Experience, Skill, Rewords, and Publications). These categories are used as additional features for the extracted information and data. The system took into account the problem of sentence coherence and improves the output document through using pre-specified sentences that inserted into the output document based on the extracted information discovered from the user C.V.

Experiment was carried out under field condition at Main Agricultural Research Station, University of Agricultural Sciences, Dharwad to evaluate efficacy of different organic amendments superimposed with neem based pesticides against chilli sucking pests. Among different treatments, split application of neem cake @ 125 kg/ha + vermicompost @ 625 kg/ha at transplanting and 50 days later (with 50 per cent nitrogen) and Nimbecidine and NSKE spray interventions later was found to be the most effective treatment. The same treatment with 100% N resulted in significantly reduced activity of sucking pests and higher dry chilli yield (5.28 q/ha) with net return of Rs. 17492/

How does the Tunisian consumer react to drinking water quality? This question is still unexplored because quality was always assumed to be homogeneous while it is not. This paper provides answers and allows us to test the importance of the variable “quality” as a key determinant of global and regional drinking water demand function (Greater Tunis, Sousse and Gabes). Design / methodology / approach : We have used, through an exploratory survey of a sample of 1200 households, econometric estimates to determine the weight that Tunisian consumers ascribe to the variable quality in their water demand functions. Results : The estimated demand functions in the regions of Greater Tunis, Sousse and Gabes, revealed the importance of quality as a fundamental determinant of quantities requested by consumers. The empirical analysis has shown that in Greater Tunis water quality is not a constraint on demand. However, in the regions of Sousse and Gabes, water quality is an important factor in determining consumer behaviour. Research limitations / implications : The empirical results depend on the 2004 survey.

This paper presents an investigation on the health risks that may be associated with pyroclastic rocks when used as construction materials. Radionuclides in the pyroclastic rocks from the Abakaliki and Ezillo areas (both in Ebonyi State, Southeastern Nigeria) were assessed. Data show that the uranium concentration in the pyroclastic rocks vary from 1 – 3 ppm (or 0.01 – 0.03 Bq.g-1) for the Abakaliki area, and 2 – 5 ppm (or 0.02 – 0.05 Bq.g-1) for the Ezillo area. The Radium equivalent activity of the Abakaliki pyroclastics varied from 20.0 – 62.90 mBq.g-1 while that of Ezillo varied from 62.9 – 145.8 mBq.g-1. A comparison with the United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR) recommended standard (that Radium equivalent activity in building materials must be below 370 Bq.kg-1 or 0.37 Bq.g-1) suggests that the radium equivalent activity for the pyroclastics from both areas in the southeastern Nigeria were all well below the maximum permissible level for dwelling homes. This therefore implies that they are safe, health wise, as construction materials for residential buildings.

Iris recognition techniques have come a long way since the preliminary proposal by Daugman. There are several techniques which mainly focus on improving the performance of IRIS recognition system either with the help of improved classifier or the feature set. However we have proved that the performance of IRIS recognition to a large extend depends upon the inter dependability and separability of the feature vectors from different classes in the feature plane. If such dependency is identified and dimensions or the features for which most of the classes represent similar and inseparable values. This finding lead us to investigate the dimension reductionality on the feature vectors. Most of the Iris recognition technique still relies on Gabor filter. But modern IRIS recognition sensors present a great deal of details about the IRIS part and the resultant images are color image. Hence there is a need to analyze the behavior of dimensionality reduction techniques for both gray scale conventional IRIS recognition technique as well as the one applied on color images. In this work we apply the dimensionality reduction technique on multi-domain features extracted from the images for set of color and gray scale IRIS dataset. The result shows that the dimensionality reduction on color images improves the performance of the classifier by .8% and the performance of the gray scale image database classifier is improved by .3%.

The usage of already available software agents plays a vital role in the process of development of application specific software. This reuse also leads to software development cost benefits as well as may ensure the timely delivery. This paperlay down an idea that for reusing reactive multi-agents systems two factors are to be considered i.e. (i) abstract description of agent in application independent way and (ii) reuse of such systems through adoption in specific domain[25]. For such a development main requirement is the effective reusable software abstractions. In present study the role of abstraction level and dependence level is analyzed for intelligent agents.

The aim of this paper is to derive a summation formula based on half argument in connection with Hypergeometric function and involving recurrence relation and Gauss summation theorem

This paper has employed a data mining approach for Going Concern Prediction (GCP) for one year ahead and has applied Classification and Regression Tree (CART) and Naïve Bayes Bayesian Network (NBBN) based on feature selection method in Iranian firms listed in Tehran Stock Exchange (TSE). For this purpose, at the first step, using the Stepwise Discriminant Analysis (SDA) has opted the final variables from among of 42 variables and in the next stage, has applied 10-fold cross-validation to figure out the optimal model. McNemar test signifies that there is a significant difference between the two models in terms of prediction accuracy and CART model is able to predict going concern more accurately. The CART model reached 99.92 and 98.62 percent accuracy rates so as to training and holdout data.

Long haul multichannel optical communication system is extremely affected by crosstalk due to Four wave mixing (FWM). The FWM effect depends on channel separation and number of channels. The paper presents the design and performance analysis of FWM effect on bit error rate, Q-factor, output spectrums and eye opening by varying channel spacing and number of channels. Results show that FWM effect reduces with increase in channel spacing and decrease in number of channels. Further it can be reduced by unequal channel spacing.