Artificial neural network assessment and modeling of job satisfaction of the Information and Communications Technology (ICT) Directorate workers of Federal University of Agriculture, Makurdi was investigated in this study. Modified Nordic Musculoskeletal Disorder (NMDQ) questionnaires which incorporated health, safety and environment factors were used. The questionnaire consisted of a series of objective questions with 'yes', 'no' and 'I don't know' responses and some were multiple choice questions. Parameters such as health, safety, environment and ergonomic factors were obtained from questionnaires for the modelling of workers efficiency and job satisfaction. The efficiency of workers was determined and normal probability curve for the 40 workers was plotted to identify the outliers. The artificial neural network (ANN) modeling method was employed to predict job satisfaction using health, safety, environment and ergonomic factors as input parameters while job satisfaction was the output. Series of network architectures were considered using different training algorithms. The scale conjugate gradient SCG 4 [3-3] 2 1 was adopted as the suitable network architecture for predicting job satisfaction. Result indicated that the predicted values of job satisfaction were in the range of 1.42 -2.00 as compared with the actual values of 1.50 -2.00 obtained from the questionnaires. Statistical indicators of normal error (E), used for validation of the model gave minimal errors and varied in the range of -0.48 -0.08. The plot of the normal probability curve also indicated the presence of outliers or inefficient workers. Whereas most of the workers were satisfied with the existing health, safety, environment (HSE) and ergonomics (E) programs at the work place, some (outliers) were not. The presence of outliers calls for improvement of ergonomic conditions at the ICT directorate.

Coolants are generally heat transfer fluids used as cutting fluids for machining or engine cooling. They are generally mixture of various constituents and their chemistry is responsible for their performance, acceptability and shelf lives. With much known about the merit of agro-based materials, this study proposes the use of bio-waters in coolant-mix as a substitute for ordinary water commonly used as base fluids. Water extract from fermented ground maize (WEFGM) employed as bio-water was emulsified in bio-oils (groundnut oils) to form a complete bio-fluid based for the coolant to which other additives are added to form the test solutions. Replicate samples were formulated with similar standards using deionized WEFGM and deionized water for comparison at 5 and 10%vol of additives. Following various analytical tests, the developed coolant samples have concentration 2.33-2.58mg/L, total dissolved solids 31.2-73.2 g/L, pH 1.85-2.50, specific gravity 1.29-1.31 and viscosity 8.12-11.44 cSt. At both additive concentrations, the biofluid-based samples have proven better in terms of all these properties than water which is generally considered as the most suitable and being currently used as base fluid in most heat transfer applications.