This study investigated household demand for meat in some selected states in the Southwest Nigeria. The systematic sampling technique was used to select two hundred and forty household in the study area and data were collected through well structured questionnaire. Analysis was done using Descriptive Statistics and Almost Ideal Demand System (AIDS) Model. The findings showed that beef (43.7%) was mostly preferred in the study area, income levels of respondents and taste influenced the type of meat preferred. The budget share of beef decreased with an increase in the price of chicken and vice versa, but increased with an increase in its price, the budget share of chevon , chicken and mutton increased with an increase in their own prices respectively. The budget share of pork increased with an increase in the price of mutton but it decreased with an increase in its own price.. Also one percent change in prices of beef,chevon and chicken would result in -0.827, -0.527 and -0.721 reduction in the quantity demanded respectively. Mutton and pork were confirmed to be luxury goods while chicken, beef and chevon were normal goods for households in southwest, Nigeria. Price intervention programmes should be introduced in order to stabilize the fluctuation in meat prices

In this paper, we prove the existence of weak solution for a nonclassical diffusion equations in H 1(R N ). The result in this part are new.

Flooding also known as broadcasting is one of the most primitive methodologies that focus on investigating searches concerning mobile ad hoc networking due to poorer network procedures which is a main feature in the concept of broadcasting which provides implications to superior applications that includes routing. Broadcasting means in conventional ways transmitting messages from a given branch to all other branches present in a network. The whole grid of the network is manned to ensure that the transmitted data is uniformly ported to the remaining nodes in a decentralized type of network setup. The two issues that renders nodes out of reach all the time are limited radio range and their immovability which assists in concluding that te issue of data transmission covering all networks is assumed to be a multi-objective issue that aims at increasing the count of number of nodules and also decreasing the time taken to reach the specified nodules and also reducing the network overhead which is a crucial characteristic because of the fact that this may direct to congestion also known as broadcast storm issue. This article aims at giving an insight of the taxonomy of transmitting methodologies in MANETS and current state of the art.

Mathematical modeling and simulation of an experimental study was performed using an array of solar panels to power three non-asbestos diaphragm type electrochemical cells whose anodes consisted of carbon rods and cathodes made up of stainless steel plate for the electrolysis of a 25 % w/w sodium chloride solution, with the aim of producing caustic soda. The non-asbestos diaphragms served to hinder the formation of unwanted substances as well as permit reasonable production of the desired products. The three non-asbestos diaphragm cells exhibited various characteristic performances, which is a reflection of their design, fabrication, composition, intensity of the sun on any particular day, the length of time the panels were exposed to sunlight and operational parameters. The non-asbestos diaphragm D3 with composition of 60 % w/w Portland cement, 20 % w/w silica and 20 % w/w polyvinyl chloride (PVC) indicated the highest yield of caustic soda per d.c Watt with specific electrical energy supplied. The simulated values predicted the operation closely as the maximum positive and negative deviations of all modeled from experimental values are between +0.07 and – 0.06 respectively. The research served as an encouraging inquisitive foundation into the possibility of producing caustic soda directly from solar powered electrolytic diaphragm cells with the aim of designing better cells as well as investigating key factors that affects cell performance in view of present conventional modes of electrochemical production.

The copolymerization of a Poly-Acrylic PMMA with polysaccharide, Fucan N1 and Dextran T70,in presence of a ceric salt used as initiator in acidic medium ,was carried out under the following conditions : Fucan N1=0,5 g; []M.,CAN31063−= , []M2,0HNO3=; temperature =40°C with a relative ratio between the initiator and the monomer , initiator/monomer =1/10. Besides a pH study of the reaction medium , an infrared spectroscopy (IR) proved the appropriatness of these best conditions of synthesis , and this by showing the presence of a characteristic peak of the carbonyl grouping situated at 1733cm-1 for the copolymer Fucan PMMA in respect to the individual PMMA spectra and Fucan N1. In addition , a 13C NMR study has been conducted on the copolymer. A viscosimetry study of two Fucan fractions was performed in aqueous medium (H20), and also of the obtained copolymer in DMSO. An outcome of this work allows for us the suggestion of a plausible reaction mechanism , of which the copolymerization rate -Rp- is first order dependant to the monomer concentration, and to the square –concentration of both the initiator and the polysaccharide .

This paper addresses the development of an average value based model for the processing system. The continuous observation of that process variable, fixation of its average value on real time basis, mathematical model development of above average value as base factor are the basic steps of this method, which subsequently leads to time based dynamics. The validation of the models developed by this method is done through experiments. The method is tested by taking two types of systems: one a biological system and second an electrical distribution system. The process variables selected are the angular displacement for biological system and rms value of current for electrical systems. The simulated results of the model agree with that of experimental reading in both cases within tolerable limits.

Stock market predictions are one of the challenging tasks for financial investors across the globe. This challenge is due to the uncertainty and volatility of the stock prices in the market. Due to technology and globalization of business and financial markets it is important to predict the stock prices more quickly and accurately. Last few years there has been much improvement in the field of Neural Network (NN) applications in business and financial markets. Artificial Neural Network (ANN) methods are mostly implemented and play a vital role in decision making for stock market predictions. Multi Layer Perceptron (MLP) architecture with back propagation algorithm has the ability to predict with greater accuracy than other neural network algorithms. In this research, neural works predict tools are used to predict the future stock prices and their performance statistics will be evaluated. This would help the investor to analyze better in business decisions such as buy or sell a stock.

In this work the effect of functional groups (substuents) on the reduction potentials of carbonyl group containing pesticides topramezone ,fenomidone and methiocarb were studied. Deferential pulse adsorptive stripping voltammetry, cyclic voltammetry, millicoulometry and controlled potential electrolysis were used for the determination of reduction potentials and electrode mechanisms. HMDE (Hanging mercury drop electrode) used as working electrode and universal buffer used as supporting electrolyte.

The paper seeks to explore the role of experience in the use of decision heuristics by entrepreneurs. An exploratory mixed-methods study incorporating qualitative and quantitative data, and generating propositions to guide future research and practice. The findings suggest that expert entrepreneurs use heuristics frequently in relation to the evaluation of opportunities, but novice entrepreneurs use much less heuristics in their decision making. Being an exploratory study of a relatively small sample, the findings are tentative and not generalized to a wider population. However, the study implies that future researchers should explore these topics in greater depth. This study is one of the first studies to explore the complex role played by experience in the use of heuristics by entrepreneurs. The study also adopts an original approach by assuming that heuristics may be effective.

In this study, dynamics of a landing gear mechanism with torsional degree of freedom and torsional freeplay is analyzed. Derivation of the equations of motion of the model with torsional degree of freedom and the von Schlippe tire model are presented. Freeplay is introduced into the model and effects of freeplay angles of 0 º, 0.5º, 1º and 1.5º are observed by obtaining time histories of the torsion angle and lateral tire deformation and limit cycles of the torsionangle. Amplitudes and frequencies of oscillations of the time histories of the torsion angle and lateral tire deformation are presented.