Web portal services have become an important medium to deliver digital content and service, as news, advertisements, and so on, to web users in a timely fashion. To attract more users to various content modules on the Web portal, it is necessary to build a relationship of trust with them by effectively achieving online content optimization by automatically estimating content items\' attractiveness and relevance to users\' interests. More than building, the long term sustenance of TRUST is necessary to bind users with the website forever. The present work presents a comprehensive testable research framework that can be used to investigate the TRUST built by the website over the period of time on its users. In nutshell, the purpose is to contribute in the effective measurement of TRUST evolved and maintained for information-driven or content websites over a long run.

This paper presents combined wavelet and ANN based protective relaying scheme for double circuit transmission lines with improved first zone reach setting upto 99%. Different ANN modules have been designed for fault detection, section identification, classification and location in time domain. The 3rd level approximate DWT coefficients of voltage and current signals of one end of the line are used as input. Simulation studies has been carried out using MATLAB considering wide variations in fault type, location, inception angle, fault resistance and different transmission line configurations of different voltage levels. The test results show that all shunt faults (both forward and reverse), its zone/section, fault type/faulty phase and location can be correctly identified within quarter cycle time. The main advantage of the proposed scheme is that it offers primary protection to total line length using single end data and backup protection to the adjacent forward and reverse line sections also.

The Flexible Manufacturing Systems (FMS) belong to the class of production systems in which the main characteristic is the simultaneous execution of several processes and sharing a finite set of resource. Nowadays, the FMS must attend the demand of the market needs for personalized products. Consequently the product life cycle tends to be shorter and a greater variety of products must be produced in a simultaneous manner. FMS considered in this work has 16 CNC Machine tools for processing 80 varieties of products. Since minimizing machine idle time and minimizing total penalty cost are contradictory objectives, the problem has a multi objective nature. The objective of this research is to develop a modified non-dominated sorting GA (NSGA-II) for multi-objective optimization. The research then will evaluate and discuss the performance of the modified NSGA-II against the original NSGA-II. The Existing NSGA II has been modified in order to improve the global optimal front and reduce the computational effort. Result has been compared with the existing NSGA-II, cuckoo search (CS), particle swarm algorithm (PSA), etc. and it is found that the proposed approach is superior. The global optimum schedule is obtained after 4500 generations.

Climate changes affected waters environments and water trades and security over recent years. Impacts of global warming, water conflicts and shortages in resources for providing services and production of utilities and social welfare were highlighted. It was found water environment affected production of goods but not physically presented in the final products. In fact, what remained the environmental impact on water product was a very small content of water referred to transmission during trades of goods and services. Due to increasing growth of populations and improvement of living, countries required water increasing per head, whilst water resources availability has decreased. Planning for water environmental improvements were introduced to cover the distance between the resources and demands. Revision in policies for water environments were made the concept of virtual water, great potentials in this field were useful in decreasing water problems.

Abstract: \n\nIntroduction: The socio-economic conditions have made more job opportunities available to women. This has created interest to conduct studies on the effect of working lifestyle on pregnancy outcomes. This study has been conducted with the aim to assess the relationship between mothers’ working status as a social determinant and the incidence of low birth weight of the new born.\nMaterial and methods: This case-control study was conducted on 500 women with normal weight infants (control group) and 250 women with low birth weight infants (case group) in selected hospitals in Tehran. Data were collected using a researcher-made questionnaire, designed to assess the effect of mothers’ prenatal lifestyle, as a social determinant, on low birth weight of the new born. A section of the questionnaire involved assessment of mother’s working condition in terms of the work environment, activities, and job satisfaction. Data were analysed using Chi-square and logistic regression tests.\nResults: low birth weight among employed mothers was 5 times more likely than unemployed ones group (OR=5.35 ,p<0.001).unfavourable work condition like humid environment , contact detergent, being in one position, standing or sitting, for a long hours were significantly associated with low birth weight(p<0.001). \nConclusion: The present study shows that unfavourable work condition is associated with low birth weight ,therefore ,attention to this is very important

Zinc is a trace element and essential nutrient in humans. It plays a vital role in all physiological processes. The aim of the present study is to synthesize ZnO nanoparticles by sol-gel process using zinc acetate dihydrate as the starting material and oleic acid as surfactant. The prepared sample was then calcined at two different temperatures 300 and 600 C. The synthesized samples were characterized using XRD, FE-SEM and EDAX to determine their morphology, composition, particle size and structure. The results obtained show agglomeration up to certain extent and the particle size is close to ~30 nm for calcination at 600 C. \nAntibacterial activity was performed using the MIC test for E.Coli (gram-negative) bacteria. Optical density of the samples was measured after the 14 hour incubation period and compared to the positive controller to determine the efficiency. Both the samples gave almost similar results probably due to high degree of agglomeration. The calcinations temperature is increased, particles tend to obtain a specific shape such as acicular or rod like. In case of antibacterial testing, a refined shape gives better results if the particle size is similar. If not, then the efficiency of the process will go down as the particle size increases, shape remaining the same.

Let $(X_{n, j}, j=1, 2, \\ldots; n=1, 2, \\ldots)$ be a row-wise triangular array of independent geometric random variables with probabilities\n$P\\left(X_{n, j} = k \\right) = p_{n, j}\\left(1-p_{n, j} \\right)^{k}, p_{n, j}\\in (0,1); j=1, 2, \\ldots; n=1, 2, \\ldots ; k=0, 1, \\ldots.$ Write $S_{n}=\\sum\\limits_{j = 1}^{n} X_{n, j}, \\lambda_{n} =\\sum\\limits_{j = 1}^{n} \\left(1-p_{n, j} \\right) p^{-1}_{n, j}$ and $\\mu_{n} =\\sum\\limits_{j = 1}^{n} \\left(1-p_{n, j} \\right).$ Denote by $Z_{\\lambda_{n}}$ and $Z_{\\mu_{n}}$ the Poisson random variables with parameters $\\lambda_{n}$ and $\\mu_{n},$ respectively. Let $\\mathbb{K}$ denote the class of all real-valued bounded functions on the set of all non-negative integers $Z_{+}=\\{0, 1, 2, \\ldots, n\\}.$ The norm of function $f\\in \\mathbb{K}$ is defined by $\\left\\| f \\right\\|\\mathop{= \\sup}\\limits_{x\\in Z_{+}}\\left| {f\\left( x \\right)} \\right|.$ The Renyi\'s operator associated with random variable X, denoted by $A_{X},$ is given by\n$$\nA_{X}f(x) = E\\big(f(X+x)\\big)=\\sum\\limits_{k = 0}^{\\infty} f(x + k)P(X = k), \\forall f \\in \\mathbb{K}, \\forall x \\in Z_{+}.\n$$\nLet $A_{S_{n}}, A_{Z_{\\lambda_{n}}}$ and $A_{Z_{\\mu_{n}}}$ denote the Renyi\'s operators associated with $S_{n}, Z_{\\lambda_{n}}$ and $Z_{\\mu_{n}},$ respectively. The main purpose of this paper is to establish the upper bounds for $\\parallel A_{S_{n}}f-A_{Z_{\\lambda_{n}}}f \\parallel$ and $\\parallel A_{S_{n}}f-A_{Z_{\\mu_{n}}}f \\parallel$ in Poisson approximation for independent geometric random variables. Some bounds related to $\\parallel A_{S_{N_{}}}f-A_{Z_{\\lambda_{N_{n}}}}f \\parallel$ and $\\parallel A_{S_{N_{n}}}f-A_{Z_{\\mu_{N_{n}}}}f \\parallel$ in Poisson approximation for random sums of independent geometric random variables are also investigated, with $N_{n}, n=1,2, \\ldots$ are positive integer-valued random variables independent of all $X_{n, 1}, X_{n, 2}, \\ldots; n=1, 2, \\ldots.$ The received results in this paper are extension and generalization of known earlier ones.