Waste management problems result from indiscriminate waste disposal which stems from Inadequate planning and implementation. This fact led to the present study which applied the Techniques of gis and rs to disposal sites and transport route selection in the emerging Megacity of abeokuta. Spatial data such as land-cover types; road and drainage networks of the City were extracted from a geo-referenced high resolution satellite image through on-screen Digitizing using gis softwares such as arcview. The existing disposal sites were geo-located And added as a layer to the map of the city. The land-cover, drainages, and roads were buffered at 30, 160 and 200 meters respectively using preset criteria such as distance of site from a street at 30 m, surface water at 160 m, major roads at 200 m and absence of important economic or Ecological features; to determine candidate sites from the land-cover types. Four legal disposal Sites in saje, olomore, totoro and ita-oshin and patches of illegal disposal sites were identified. Gis analysis gave a total of nine sites out of which only four met the preset criteria. Saje, ita - Oshin, sam-ewang, and ita-ika areas were the most appropriate sites.

Customer’s loyalty results in long-run market share of a firm, which is a base for retaining loyal customers. Marketing strategies pertaining to customer retention and customer acquisition are examined for five major global mobile service providers in Nigeria. Here we proposed a mathematical model to explore firm market share analysis, customer retention and switching rate. The customer retention rate and switching rate would be assumed in the model to be constant from time to time because of our underlying assumption that our Markov models have a finite chain and with stationary transition probabilities. How these probability values will be used to compute each firm’s market share is demonstrated. Finally, we used the Markov model to design marketing strategy to raise the customer retention rate and the rate of gaining competitor’s customers.

The study examined the role of microfinance banks in financing agriculture in Yola North Local Government Area of Admawa State. Primary data were collected from a total of 100 farmer selected by simple random sampling. Structured questionnaires were the instrument for data collection from the farmers. Simple descriptive statistics such as means and percentages and frequencies were used to analyze the data collected from respondents. Results reveal that, majority (67.11%) of the respondents were males, while 32.8% were females, 44.74% of the respondents were within the age limit of 31 – 40 years, 73.68% of the respondents were married, and 85.53% of the farmers had formal education. 60.53 % used the loan for the purpose for which it was collected and 55.26% repaid the loan collected from the Microfinance Bank Yola in (2010). 15.29% of the respondents identified high interest rate on loan acquired from microfinance bank as a major problem, 10.95% identified delay in loan disbursement as their major problem while only 1.18% of the respondents stated that they were not given the loan they applied for. The study recommends that loans for the farmers should be disbursed in good time; banks should reduce the interest rates on agricultural loans. Also, microfinance banks should be encouraged to act as a major lender in financing small scale farmers in the country to meet the food requirement of the teeming population.

Biochemicals such as Cholrophylls (a & b), Carotenoids, Protein, Vitamin C, Phenol, Niacin, Vitamin B1, Vitamin B2, Moisture analysis for 25 genotypes of Amaranthus hypochondriacus.L. has been worked out at Division of Genetics and Plant Breeding and Agrotechnology, National Botanical Research Institute, Lucknow in 2011. The analysis results with some genotypes with highly nutritious value. Out of the 25 genotypes studied, different genotypes having highest values for different biochemicals. AG 828, SKNA 211 and SKNA 21 are the best genotypes which will help in formation of products with superior nutritional quality. Thus the data emanating from the present study indicated the scope for utilizing best nutritional yielding lines for healthcare edible products and as the base material for developing nutraceuticals. The present investigation will also fill the gap regarding the processing of amaranth seeds for the development of superior quality edible food products for infants and also used in fast days. The highly nutritious lines of this crop are so high promising for supplemented nutritive food amelioration of nutritional deficiency.

While telling “the history of the next two centuries” (namely the advent of nihilism), Nietzsche’s intention was also to warn us about the consequences of the death of God: “What were we doing when we unchained this earth from its sun? Whither is it moving now? Whither are we moving? Away from all suns? Are we not plunging continually? And backward, sideward, forward, in all directions? Is there still any up or down? Are we not straying as through an infinite nothing? Do we not feel the breath of empty space? Has it not become colder? Is not night continually closing in on us?” (Nietszsche 1974: 182). Nietzsche’s hypothesis does not appear extraneous to the present reality, especially when we consider the perils to which we are exposed by a nihilist culture exalted by the new power which technical systems have progressively rendered available to individuals. Indeed, there could be no room at all for human beings in a world that purports to work without posing the question ofeaning.

A simple design to compute accurate resonant frequencies of circular microstrip antennas using artificial neural networks. (ANN) is proposed. ANN model is developed to calculate the antenna dimensions for the given resonant frequency, dielectric constant and height of substrate. ANN is designed using radial basis function networks. The results show better agreement with the trained and tested data of ANN models. The results are verified by the experimental results to produce accurate ANN models. This presents ANN model practically as an alternative method to the detailed electromagnetic design of circular microstrip antenna. We have also used a simulator to validate the present model.

The Bayesian classifier is a fundamental classification technique. We also consider different concepts regarding Dimensionality Reduction techniques for retrieving lossless data. In this paper, we proposed a new architecture for pre-processing the data. Here we improved our Bayesian classifier to produce more accurate models with skewed distributions, data sets with missing information, and subsets of points having significant overlap with each other, which are known issues for clustering algorithms. so, we are interested in combining Dimensionality Reduction technique like PCA with Bayesian Classifiers to accelerate computations and evaluate complex mathematical equations. The proposed architecture in this project contains the following stages: pre-processing of input data, Naïve Bayesian classifier, Bayesian classifier, Principal component analysis, and database. Principal Component Analysis(PCA) is the process of reducing components by calculating Eigen values and Eigen Vectors. We consider two algorithms in this paper: Bayesian Classifier based on KMeans( BKM) and Naïve Bayesian Classifier Algorithm(NB).

The purpose of this study was to investigate the effect of technical efficiency on rural poverty between female and male-headed farm families in southwestern part of Nigeria. The study also determined the policy variables that influenced technical efficiency of the poor rural female and male-headed households in the study area using the stochastic frontier methodology. Results of data analysis showed that poor male-headed households were more technically efficient than their poor female-headed households’ counterparts (with mean technical efficiency estimates of about 91% and 82% respectively). Policy measures to reduce level of poverty and to improve efficiency which will lead to higher income were then suggested

MI theory refers to a learner-based philosophy that characterizes human intelligence as having multiple dimensions that must be acknowledged and developed in education. It developed in mid 1983s by Gardner. MI theory includes the concepts that intelligence is pluralistic, encompassing at least eight intelligences. One of the greatest applications of the theory of MI is in education in that it identifies the differences among people regarding their intelligence preferences and the role it might play in learning environment. Not many studies have concerned the role of MI in language learning. The present study investigated the relationship between participants’ MI and their performance on vocabulary tests. The participants were 100 junior students at KhoramabadAzad University majoring in English Language Teaching. They wereasked to answer the MIDAS developed by Shearer (1996). Then, they answered four different formats of vocabulary tests, namely, antonym, gap filling at sentence level, gap filling at context level, and matching formats.

This research was an attempt to investigate the influence of using portfolio assessment on students’ Learning English language in Qom Secondary Schools. The study participants were students of two intact English classes (N=68). The study used a pre-test post-test nonequivalent groups design with two groups. The methodological procedure adopted was to have the experimental group use the portfolio, with the control group using conventional assessment. The independent t-test computed between the means of the two groups signified that there was a statistically significant difference between the performances of the two groups on the achievement posttest. Moreover, a selfreporting questionnaire was employed after the treatment. The experimental results revealed that the use of the portfolio had significant positive influence on students’ language. However, the effect of peer-assessment performance was not significant.