The levels of fatty acids, phospholipids and zoosterols were determined in the organs of domestic pig consumed in Nigeria on dry weight basis. The organs analysed were liver, muscle and brain. Results showed crude fat varied from 2.85-4.36 g/100 g; SFA varied from 34.4 -39.9 % of total fatty acids, total unsaturated fatty acids (TUFA) varied from 60.1-65.6 %, PUFA ranged from 23.9-30.1 % and MUFA ranged from 35.5-37.7 %. PUFA/SFA range was 0.598- 0.873; EPSI range was 0.659-0.848; AA/DGLA was 6.22-20.2; n-6/n-3 was 0.285-0.481 and EPA/DHA was 0.079-0.472. Fatty acid as food would be provided by 0.743-1.366 g/100 g (SFA); 0.796-1.239 g/100 g (MUFA); 0.574 -0.817 g/100 g (PUFA) whereas TUFA would provide 1.60-2.06 g/100 g. In energy from fatty acids: SFA would produce 27.5-50.5 kJ/100 g (34.5- 39.8 %); MUFA would produce 29.5-45.8 kJ/100 g (35.5-37.7 %); PUFA would produce 21.2-30.2 kJ/100 g (23.8-30.1 %) and TUFA would produce 50.7-76.2 kJ/100 g (60.0-65.4 %). Correlation coefficient (rxy) showed that liver/muscle, muscle/brain, liver/brain were each significantly different from each other at r = 0.05. In the phospholipids, phosphatidylcholine was mostly concentrated in all the samples having a range of 223-307 mg/100 g (58.0-63.8 %) and liver/muscle, muscle/brain and liver/brain rxy were all significantly different at r = 0.05. Cholesterol was the only sterol with value greater than 0.00 mg/100 g or 99.996-99.997 %. Chi- square analysis showed no significant difference in the cholesterol at α ≤ 0.05. Uncertainty interval percentage (UIP) was calculated where standards were available using UIP of Beef-PorkFat Blend. The two most concentrated fatty acids in liver and brain were C16:0 [24.9 % (liver) and 21.2 % (brain)], C22:6 (DHA) [19.5 % (liver) and 20.0 % (brain)]; in muscle highest concentrated fatty acids were C16:0 (23.9 %) and C18:1 (oleic acid) (15.1 %).

Modern business activities rely on extensive email exchange. Email leakage have became widespread throughout the world, and severe damage has been caused by these leakages it constitutes a problem for organization. We study the following problem: A data distributor has given sensitive data to a set of supposedly trusted agents (third parties).If the data distributed to the third parties is found in a publicprivate domain then finding the guilty party is a nontrivial task to a distributor. Traditionally, this leakage of data has handled by water marking technique which requires modification of data. If the watermarked copy is found at Some unauthorized site then distributor claim his ownership. To overcome the disadvantage of using watermark, data allocation strategies are used to improve the probability of identifying guilty third parties. The distributor must assess the likelihood that the leaked data come from one or more agents, as opposed to having been gathered from other means. In this project, we implement and analyze a guilt model that detects the agents using allocation strategies without modifying the original data .the guilt agent is one who leaks a portion of distributed data. We propose data “realistic but fake” data records to further improve our chances of detecting leakage and identifying the guilty party. And Algorithms implemented using fake objects will improve the distributor chance of detecting the guilt agent. It is observed that by minimizing the sum objective the chance of detecting guilt agents will increase. We also develop a framework for generating fake objects.

Over the past 25 years, the evolution of the internet and the advances of wireless technologies have made a tremendous impact on lifestyle of people around the world. Together, these two factors have changed the way people communicate, work, and get their entertainment.In order to be always best connected for various applications, the network selection procedure in heterogeneous multi-access environment during vertical handover decision is intended to choose the most suitable network for mobile user. In this paper, a performance study using the fuzzy logic concept is done and the integration of UMTS and WiMAX network is taken as an example to show that the proposed vertical handoff decision algorithm is able to determine when a handoff is required, and selects the best access network that is optimized to network conditions, quality of service requirements, received signal strength, bandwidth requirements and user preferences.

The objective of this paper is the develeppement a tool for programming the machining instructions in a CAM environment. To help the NC programming of all addresses, it was developed a module contributing to the adaptation of CN addresses for different languages FANUC, FAGOR, NUM, SINUMERIK and EIA, turning and milling. This module serves several functions. The first function is to seek designation of preparatory functions after selecting the command "/ operation" and "G-code" and the auxiliary functions. The second function allows the identification of all NC addresses with writing syntax desired codes. The third function is to automate the calculation of various parameters of cutting. The fourth function is devoted to the simulation programs.

Human Resource Development strategy constitutes a major component of educational system of a nation. In many countries of the world including Nigeria, this has been accorded an important place in their efforts at achieving developmental goal. However, Human Resource Development is greatly determined by the standard of education in a country. This paper is aimed at examining the effects low standard of education in Nigeria on its Human Resource Development. Using only secondary data, it was discovered that both the National Policy on Education and the Nigerian Constitution emphasis the importance of investing in human resource through education for accelerated economic, political and social development. However, finding shows that, the present rate of underdevelopment and poverty among other social ills experience in Nigeria is a consequence of the decline in the quality and functional education in the country. The paper thus suggests that, for a reversal of the trend, there is the need for proper educational planning strategy, monitoring and evaluation, better learning environment and adequate funding. Corruption and indiscipline in the educational sector should also be tackled headlong.

This research was conducted to gauge the perception about the more brand conscious gender, awareness regarding the quality, effect of brand name, if brand consciousness is good and whether youth has become more brand consciousness in the recent years or not. The questionnaires were got filled by students of different universities. The results revealed that among the two females are more brands conscious and the overall focus of youth remains on the brand name as well as the brand quality. There were also those who had no interest in brands but in a very number comparatively. Thus the government should acknowledge it and take necessary steps to create ease for the international brands so that it can add more to the national growth of the country.

The term “Rapid Prototyping” (RP) refers to a class of technologies that can automatically construct physical models from computer-Aided Design (CAD) data or is a group of techniques used to quickly fabricate a scale model of a physical part or assembly using three-dimensional computer aided design (CAD) data. The “three dimensional printers” allow designers to quickly create tangible prototypes of their designs rather than two dimensional pictures. Such models have numerous uses. They make excellent visual aids for communicating ideas with co-workers or customers apart from design testing. For example Aerospace Engineer might mount a model aerofoil in a wind tunnel to measure lift and drag forces. Across the world, Engineering has the common language and common goal-“Improving the Quality of Life” of mankind without any boundary restrictions. To bring about this much needed change, we require the services of the fraternity of Engineers to work on the challenges posed by our times. The need of the hour is to bring together globally this fraternity to collaborate with each other.

Retirement is usually a period of major changes in the lives of public servants. Most times, some people see such changes as devastating and traumatic. In this study, public servants’ perception of retirement and their attitude towards pre-retirement counselling was surveyed. A representative sample of 1200 civil servants was selected using purposive sampling approach. Responses were elicited from them using a self-structured questionnaire to test one major proposition that guided the study. Data analysis were carried out using one-way ANOVA and tested at 0.05 alpha levels. Results of the study showed that civil servants’ perception of retirement significantly influence their attitude towards pre-retirement counselling with respect to income and expenditure management, health related issues, management of loneliness and change in physical environment. It was recommended among other things that pre-retirement seminars and workshops should be organized for civil servants on a regular basis to prepare them for life at retirement.

The scope of this study was to discover the association between facial expressions of students in an academic lecture and the level of comprehension shown by their expressions. This study focused on finding the relationship between the specific elements of learner’s behavior for the different emotional states and the relevant expression that could be observed from individual students. The experimentation was done through surveying quantitative observations of the lecturers in the classroom in which the behavior of students are recorded and were statistically analyzed. The main aim of this paper is to derive association rules that represent relationships between input conditions and results of domain experiments. Hence the relationship between the physical behaviors that are linked to emotional state with the student’s comprehension is being formulated in the form of rules. We present Predictive Apriori algorithm that is able to find all valid class association rules with high accuracy. The rules derived by Predictive Apriori are pruned by objective and subjective measures.

The use of disclosure index to quantify disclosure level had been widely used in previous studies related to disclosure determinates and disclosure effects. Disclosure indexes rely on totalling items disclosed in an information channel may offer a greater picture about the quantity of information disclosed but little on the quality level, especially when considering that items disclosed may not be consistent from one year to another.The aim of this paper is to introduce an alternative approach to quantify disclosure level through probabilistic measure derived from entropy, named Modified entropy score (MES). A measure which combines both items disclosed and their probability to capture the quality of information disclosed. The introduced measure was compared with previous measure, conventional disclosure score (CDS). The results showed great consistency between the two measures. Disclosure level as measured by both CDS and MES was influenced positively by several firms’ fundamental variables including size, age, liquidity and profitability while ownership dispersion showed insignificant effect on disclosure level.