A Computational Analysis of the Negative Impact of Cigarette Smoking on Human Population In Imo State

Smoking is a practice in which a substance most commonly called Tobacco or Cannabis is burnt and the smoke tasted or inhaled. Recognition of the consequences of cigarette smoking and abuse on physical and mental health as well as socio-occupational life are necessary steps for initiating appropriate action to reduce the harm or dangers resulting from smoking. This work was motivated by the observed and anticipated negative health burden with its concomitant socio-economic consequences which the nation is bound to face if systematic efforts are not made now to control the growing problem of cigarette smoking. Three methodologies have been combined in the execution of this research. The first methodology involved conducting the clinical test to determine the independent assessment of impact of smoking using Digital Display Nicotine Tester (DDNT). Secondly, sample populations of people treated at the Imo State University Teaching Hospital from diseases emanating from smoking were collected, statistically analyzed using Statistical Packages for Social Sciences (SPSS).Relevant coefficients were extracted and deployed for the coding of the simulation model. Thirdly, simulation software was developed using the indices collected from the statistical software to assess the impact of smoking on the population in the next 50 years. This is to assist policy formlators and decision makers on what public policy should be in place to stem possible health catastrophe that may occur as a result of uncontrolled consumption. The software simulation follows a stochastic model

Computer Simulation of the Impact of Cigarette Smoking On Humans

In this edition, emphasis has been laid on computer simulation of the impact of cigarette smoking on the population between now and the next 50 years, if no government intervention is exercised to control the behaviour of smokers. The statistical indices derived from the previous article (WAJIAR Volume 4) in the series were plugged in as input to the simulation model. The software simulation followed a statistical model. The simulation software was developed using the internationally accepted Software Engineering Methodology – the Structured System Analysis and Design Methodology (SSADM), coding by OOP and packaging by Prototyping methodologies. The simulation is intended to be predictive and to enable policy makers see the impact and dangers of cigarette smoking between now and the next 50 years if current abuse is not controlled, that is, the number of smokers likely to contact liver, brain and related diseases and who are most likely to die from these diseases. The summary of the result shows that in the next fifty years, a total of 2379591 people will likely suffer liver diseases, 2379818 people will likely suffer lung diseases, 2380297 people will likely suffer hepatitis and 2379689 will also likely suffer Brain Damage. Generally, a total of 9519395 people will likely suffer these four diseases caused by cigarette smoking and most importantly, the total number of deaths is expected to be 1903880. This result suggests that the negative impact of cigarette smoking is significant and demands immediate government intervention to avoid further population decimation. Keywords: Simulation, Software, Model, Population, Design

Application of Linear Programming Algorithm in the Op-timization of Financial Portfolio of Golden Guinea Breweries Plc

Abstract In this study, Simplex Method, a Linear Programming technique was used to create a mathematical model that optimized the financial portfolio of Golden Guinea Breweries Plc, Nigeria. This work was motivated by the observed and anticipated miscalculations which Golden Guinea Breweries was bound to face if appropriate linear programming techniques were not applied in determining the profit level. This study therefore aims at using Simplex Method to create a Mathematical Model that will optimize the production of brewed drinks for Golden Guinea Breweries Plc. The first methodology involved the collection of sample data from the company, analyzed and the relevant coefficients were deployed for the coding of the model. Secondly, the indices collected from the first method were deployed in the software model called PHP simplex, an online software for solving Linear Programming Problem to access the profitability of the organization. The study showed that Linear Programming Model would give a high profit coefficient of N9,190,862,833 when compared with the result obtained from the manual computation which gave a profit coefficient of N7,172,093,375. Also, Bergedoff Lager, Eagle Stout and Bergedoff Malta were found not to contribute to overall profitability of the company and it was therefore recommended that their productions should be discontinued. It also recommends that various quantities of Golden Guinea Lager (1 × 12) and Golden Guinea Lager (1 × 24) should be produced