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» Application of First Order Differential Equation in Temperature Problems » A. Hassan and Y. Zakari ABSTRACT: World of mathematical concept, which is where the model is built. We then manipulate the model using techniques or computer aided numerical computation. Finally we reenter the real world, taking with us the solution to the mathematical problems, which is translated into a useful solution to the real problems. The application of first order differential equation in temperature have been studied the method of separation of variables Newton’s law of cooling were used to find the solution of the temperature problems that requires the use of first order differential equation and these solution are very useful in mathematics, biology, and physics especially in analyzing problems involving temperature which requires the use of Newton’s law of cooling. KEYWORDS:Differential equation, temperature. » Received: 15 October 2017» Accepted: 18 January 2018 
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» Handling Multicollinearity; A Comparative Study Of The Prediction Performance Of Some Methods Based On Some Probabiltiy Distributions » Zakari Y., Yau S. A. and Usman U. ABSTRACT: This study used some probability distribution (Gamma, Beta and Chisquare distributions) to assess the performance of partial least square regression (PLSR), ridge regression (RR) and LASSO regression (LR) methods. Ordinary Least Squares may fail if the variables are almost collinear or related. As such, this methods (PLSR, RR, AND LR) were compared using simulated data that follows gamma, beta and chisquare distributions with number variables (P=4 and 10) and sample sizes (n=60 and 90). The comparison was carried out using Mean Square Log Error (MSLE), Mean Absolute Error (MAE) and RSquare (R2) which shows that the results of RR is better when P=4 and n=60 using gamma distribution, but using chi square distribution PLRS is better methods. Also, when P=4 and n=90, RR shows better results with both gamma and beta distributions but with chi square distribution all methods have equal predictive ability. However, at P=10 and n=60 RR performed better with both gamma and chi square distributions while when data follows beta distribution all distributions have equal predictive ability. RR shows better results at both gamma and chi square distributions when P=10 and n=90 while PLSR performed better with beta distribution. KEYWORDS:Regression; multicollinearity; ridge (RR); partial least square (PLSR); lasso regressions (LR). » Received: 3 October 2017» Accepted: 18 January 2018 
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» On the Estimation of Empty cell Probabilities in a Contingency Table » Oyeyemi, G. M. and Mbaeyi, G. C. ABSTRACT: In this paper, an Independent Binary Model (IBM) is proposed. It is aimed at estimating cell probabilities in an r x c contingency table when some of the cells have zero count. Existing methods in this situation are either subjective or based on arbitrary decision of the researcher. The IBM is applied to sets of simulated data for various combinations of categorical variables. It is pointed out that the IBM could be an alternative for such situations especially when the result is needed for further analysis. KEYWORDS:Cell probabilities, Categorical variables, Independent Binary Model, Zero count. » Received: 15 October 2017» Accepted: 18 January 2018 
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» eHAMS: A Unified Modelbased Integrated Healthcare Services Management System for LowandMiddle Income Economies » Fagbola Temitayo Matthew, Egbetola Funmilola Ikeolu, Emuoyibofarhe Justice, Olaniyan Olatayo Moses, Oloyede Ayodele and Akinpelu James ABSTRACT: The emerging proliferation of fragmented healthcare applications has accounted for an overwhelming high cost of maintaining healthcare services and facilities, clinical data security and privacy concerns, decentralized data redundancy leading to snailspeed of improvement in healthcare services’ delivery efficiency and more often than not, a total shutdown of health facilities. Due to lack of communication among these decentralized and often similar health applications, their relative characteristics and advantages are either misaligned and/or duplicated in most cases. Hence, needs be that robust and integrated healthcare services management applications, that can collaboratively deliver consolidated healthcare objectives and facilitate huge cost savings, seamless clinical information workflow, optimum access and sharing of centralized clinical data, highlyefficient quality of service (QoS) and realtime accountability, be developed especially for the healthcare systems in lowandmiddleincome economies. In this paper, an integrated webbased electronic HealthcAre Management System (eHAMS) for lowandmiddle income economies was developed. eHAMs is a composite mobilecompliant system with a collaborative framework that accommodates electronic patients’ health record, electronic cash flow audit, electronic personnel record management, electronic pharmacy services and the electronic healthcare services payment management systems. Prior to its development, a users’ needs assessment was conducted and the possibility that eHAMS would offer some costsavings benefit was also modelled. The collaborative model when evaluated based on Closed World Assumption (CWA) reveals that costsavings benefit is huge. An underlying architecture for the integrated development plan was also developed. Unified modeling language and Vshaped software development model were employed to codesign and orient the development of eHAMS. Interactive graphical user interfaces were developed to implement eHAMS’ designs in a visual studio integrated development environment using C# language. The system database was developed using a SQL server application. At the testing stage, a qualitative users’ assessment of eHAMS was conducted to evaluate the performance of the developed eHAMS system. Results obtained reveal that cost savings benefit of eHAMS is rated at 96%, reliability (92%), availability (90%), privacy (90%), security (89%), quality assurance (86%), user interface design (82%), ease of use (78%) and user friendliness (76%) in that order. Thus, eHAMS is best suited for lowandmiddle income economies to realize improved Quality of healthcare services delivery and facilitated efficiency of operations while offering timely generation of informed decisions. KEYWORDS:Unified modeling design, codesign, cost, integrated healthcare services management system, pharmacy, audit, patient, low and middle income countries. » Received: 09 November 2017» Accepted: 15 February 2018 
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» Performance Evaluation of Implementation Languages on Cognitive Complexity of Dijkstra Algorithm » Isah Olawale Mustapha, Stephen Olabiyisi, Rasheed Gbenga Jimoh and Maruf Olasunkanmi Alimi ABSTRACT: Maintainability is a key factor in measuring the quality of developed software and it becomes important due to dynamism of software. Partially, maintainability is a function of source code understandability on the part of developers. Therefore, cognitive complexity of software is relevant to its maintainability. In fact it is not an overemphasis to state that, quality of software in general can hardly be control if the code is complex (Banker, Datar and Zweig, 2009;francalanci and Merlo, 2010). Hence as a result of strong impact that cognitive complexity has on the software quality this research work investigates the effect of some implementation languages on cognitive complexity. Three earlier and recent implementation languages were sampled in term of Procedural Programming Languages and Object Oriented Languages then implemented on a unique algorithm and appraised using Procedural Cognitive Complexity Metric[P.C.C.M] and Multiparadigm Cognitive Complexity Metrics [ M.C.C.M] respectively. The experiment results have shown that among the procedural programming languages, Fortran has least cognitive complexity with sixty six while among Object Oriented Languages C++ has the least with one hundred and thirty eight. Cross assessment of Fortran and C++ using both [P.C.C.M] and [M.C.C.M] reveal that Fortran has the least cognitive complexity among all the implementation languages used. The research results has shown that Fortran 77 is the best for implementation of Dijkstra algorithm among the selected languages to have the least cognitive complexity and has reaffirmed that some languages are more appropriate for easy understandability of source code than others. KEYWORDS:Cognitime metric, Software Complexity, Dijdstra Algorithm, Objict Programming Language , Procedural Programming Language. » Received: 30 November 2017» Accepted: 16 February 2018 
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» Application Of Dimensionality Reduction On Classification Of Colon Cancer Using Ica And KNn Algorithm » Rasheed G. Jimoh, Ridwan M. Yusuf, Yusuf O. Olatunde and Yakub Saheed ABSTRACT: Several sectors including engineering, health, academics and so on deals with very large number of information and few specimens. This highlight the need of a technique to improve data accuracy in order to enable professionals such as biologists, clinicians and so on to comprehend the structure of a complex microarray dataset and the gene expression in cells when reduced. This study employs Independent Component Analysis for feature extraction before using kNearest Neighbor algorithm to classify colon cancer dataset which contains DNA microarray gene expression data with 2000 features and 62 samples. The experiment was performed using MATLAB 2015a. The result shows that the dimensionality reduction applied improve the classification performance in terms of accuracy, sensitivity, specificity and precision by 11.3%, 25.2%, 36.3% and 12.8% respectively. KEYWORDS:Microarray, kNN, Dimensionality Reduction, ICA, Colon Cancer. » Received: 27 November 2017» Accepted: 16 February 2018 
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