| 1 |
Author(s):
Onuoha Desmond O..
Page No : 1-20
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An Analysis on the Effectiveness of two Brands of Feeds on the Weight of Broiler Chickens: A Case Study of Wisdom Poultry Farm, Beside Naze Cluster Market Owerri
Abstract
This study compared two diffferent types of poultry feeds namely, Vital feed and Top feed commonly used in rearing birds in order to determine which of them is preferred over the other . The data used are the weigths (in kg) of 100 randomly selected 6-weeks broilers that were fed on the two poultry feeds. A crossover design was used to conduct the experiment. Analysis of variance and direct assay methods were used to analyze the research data. The study revealed through the analysis of variance method that there is no siginficant difference between the effects of the two feeds under study on the weight of the poultry birds. Moreover, the bioassay analysis revealed that even though the effects of the feeds on the weights of the poultry birds were insignificant, it is clear that Vital feed is more effective than Top feed in improving the weight of the poultry birds. Futhermore, it was recommened that Vital feed should be used over Top feed in rearing 6-weeks broilers since it’s effect on the weights of the birds is more significant.
| 2 |
Author(s):
Dennis Offei Kwakye, Ernest Kwaku Ofosu, Sulemana Karim, Yusif Zacharia, Zunurain Zakari, Emmanuel Asemani.
Page No : 21-37
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Using Abacus and Bundles of Stick to Help Basic Two (2) Pupils to Add Two and Three-Digit Numbers: An Action Research of Ghana National College Basic School, Cape Coast, Central Region, Ghana
Abstract
The purpose of this study was to use Abacus and Bundles of stick as Instructional Materials or Teaching Learning Materials (TLMs) to improve the addition of two- and three-digit numbers among Basic Two (2) Pupils of Ghana National College Basic School, Cape Coast, Central Region, Ghana. Action research design was used for the study. Evaluation Test (Pre-Test and Post-Test) were used to gather data on the pupils. The population was thirty-four (34) and the sample used for the study was fourteen (14) pupils. Pre-Test was used to assess the pupil’s performance to identify their strength and weakness for the necessary interventions to be used to solve that problem. Post-Test was used to gather results and compare the effectiveness of the use of Abacus and Bundles of stick in solving addition of two- and three-digits numbers in mathematics. Simple percentage count was employed by the researcher to display the results and findings. It was found out from the study that, appropriate materials like Bundles of sticks and Abacus should be encouraged and be used in primary schools more especially at the Lower Primary levels (Early Grade levels) to teach for the pupils to overcome their difficulties in solving addition problems involving two- and three-digits numbers.
| 3 |
Author(s):
Dr. R. Sivaraman.
Page No : 38-41
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Mathematical Modeling of Recovery Curves
Abstract
As the population of people in the globe continues to age, there will be a growing demand for health issues including treatment of Total Hip Arthroplasty (THA) and Total Knee Arthroplasty (TKA). This will result in a growth in post-operation rehabilitation services. In order to meet this growth, it will be beneficial for occupational therapists and physical therapists to have an understanding of a patient’s expected post-surgery recovery rate. Once developed these rates can be used to benchmark individual patient improvement, help estimate expected costs and lengths of therapy, and possibly help design optimal treatment session scheduling. In this paper, we consider Hierarchical Linear Model to analyze how male and female patients respond to TKA and similar surgeries.
| 4 |
Author(s):
Eric U. Oti, Sidney I. Onyeagu, Chike H. Nwankwo, Waribi K. Alvan, George A. Osuji.
Page No : 42-54
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New K-Means Clustering Methods that Minimizes the Total Intra-Cluster Variance
Abstract
In this paper, we present new k-means clustering methods namely: the modified k-means method and the enhanced k-means method. The modified k-means clustering method proposed updates cluster centroids depending on if a point is added to a cluster or a point is removed from a cluster; while the enhanced k-means clustering method uses the Minkowski’s distance as its metric in a normed vector space instead of the usual Euclidean distance used in the modified k-means method and the existing methods. K-means clustering is one of the simplest and popular unsupervised learning techniques which aim is to classify points or objects to be analyzed into well separated groups or clusters. The existing k-means clustering methods discussed in this paper are the Forgy’s method, Lloyd’s method, MacQueen’s method, and the Hartigan and Wong’s method. It was observed that the modified k-means method performed relatively better than the enhanced k-means method and the other existing methods in terms of minimizing the total intra-cluster variance and accuracy using simulated data and real-life data sets.
| 5 |
Author(s):
K. C. Arum, C.L.J. Ugwu, F.I. Ugwuowo, H.E. Oarnye, P.I. Agu.
Page No : 55-62
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Time Series Model Comparative Approaches in Analyzing Accident and Emergency Departmental Demand in Eastern Nigeria
Abstract
The problem of the inappropriate attendances, morbidity pattern of patients in emergency condition and exhibited staff stress by some Nigerian hospitals motivated this work. The aim of the paper is to address the challenges of hospital accident and emergency departmental demand in Eastern Nigeria using statistical methods on a secondary data collected from January 2007 to December 2017. We extend a class of multivariate Vector-ARMA (VARMA) forecast models to predict the demands envisaged at Bishop Shanahan hospital’s accidents and emergency department and to do a comparative study based on existing research works. In this study we compared both univariate and multivariate time series model approaches to identify the best forecasting model to be used in addressing medical services challenges in Eastern Nigeria. Multivariate Vector Autoregressive Moving Average (VARMA (p,q)) models were compared with the Box and Genkins ARMA(p,q) model and exponential smoothing model by Holt Winter to ascertain their accuracy levels in predicting Accident and Emergency Departmental Demand. The result of the work shows evidence of increasing Accident and Emergency Department for the people within the age range of 20-45 years. The multivariate VARMA (p,q) models outperformed the univariate ARMA(p,q) models and the Holt winter’s model by having the smallest errors for all the error measures (MAE, RMSE, MAPE) considered in the research. In conclusion, we advise healthcare providers at Federal, State and Local Government levels in Nigeria to intensify efforts in the sensitization and campaign against hard drug and alcohol consumption among our youths, since our active workforce of the nation, age (20-45 years) are prone to emergency health related issues now and in the nearest future.
| 6 |
Author(s):
Matthew Femi Olayiwola.
Page No : 63-74
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Mathematical Modeling of Road Traffic Fatalities
Abstract
The development of a mathematical model for predicting the future values of road fatality in South Africa is of great concern as road accidents become a public health concern and a threat to the economy. This study aims to develop an ARIMA model for the prediction of quarterly road fatality in all the provinces of South Africa. Nineteen years of quarterly data from 2001 to 2019 were used to build the model. The best two models were selected using the Akaike information criterion (AIC); volatility and adjusted R^2 values. Thus, ARIMA (4,1,1) and ARIMA (4,1,4) were found to be the best models. The ARIMA (4, 1, 4) model forecast produced an excellent match with the actual series. Hence, predicting the future values of road fatality in South Africa using these models will help the policymakers and all stakeholders make well-informed decisions. In the next study, the economic impact of road crashes and fatalities on the South African economy will be considered.
