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Design and Implementation of an Integrated Result Processing System in a Networked Environment
Dada Olabisi Matemilayo,
Raji Ayodele Kamaldeen,
Oyedepo Femi Samson,
Yusuf Ishola Tajudeen,
Saka Tajudeen Olarenwaju
Issue:
Volume 2, Issue 4, December 2017
Pages:
131-137
Received:
30 July 2017
Accepted:
22 August 2017
Published:
18 September 2017
DOI:
10.11648/j.bsi.20170204.11
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Abstract: Results processing is a continuous process of converting data (scores, grade points, credit units etc) into a definite and meaningful information such as statement of result, transcripts etc. These results are used to check the performance of each student in various courses. The current method of students’ academic results processing was found to be tedious and time consuming, especially when carried out for a large number of students. This makes the entire process cumbersome and error prone. A computer software application was developed to facilitate the automated processing of the results. The software was developed using HTML5, CSS8, Java Script for client side, PHP (Hypertext Pre-Processor) as server side programming language and MySqli (My Structural Query Language Imroved) as relational database. This language was chosen because of its flexibility and features for developing online based applications. WAMP (Window Apache MySql and PHP) server was used for local hosting and testing. The data used for testing was obtained from the Department of Computer Science. The developed software was tested and found to perform well and produced expected results on completion. With this, it was possible to compute Grade Point Average (GPA) and Cumulative Grade Point Average (CGPA) for each student based on examination scores entered or uploaded. The new system offers some qualities such as reduction in the cost of processing of information, reduction in time spent in computing GPA and generating transcripts, increase in accuracy and efficiency, and elimination of redundancies.
Abstract: Results processing is a continuous process of converting data (scores, grade points, credit units etc) into a definite and meaningful information such as statement of result, transcripts etc. These results are used to check the performance of each student in various courses. The current method of students’ academic results processing was found to b...
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On Efficient Memory-Type Control Charts for Monitoring out of Control Signals in a Process Using Diabetic Data
Nurudeen Ayobami Ajadi,
Saddam Adams Damisa,
Osebekwin Ebenezer Asiribo,
Ganiyu Abayomi Dawodu
Issue:
Volume 2, Issue 4, December 2017
Pages:
138-144
Received:
27 July 2017
Accepted:
16 August 2017
Published:
21 September 2017
DOI:
10.11648/j.bsi.20170204.12
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Abstract: Control chart is a useful technique which helps in detecting out of control signal in a process and it can either be a memory-type or memory-less control chart. This work is focused on evaluating the monthly incidence of diabetic disease using four univariate memory-type control charts. In this study we evaluated the average run length (ARL) properties of the memory-type control charts by adjusting the ARL value’s determinant parameters in each control charts, and the ARL value was set to be 500. The output of the analysis of the data set indicates that the exponential weighted moving average (EWMA) control chart is better in detecting the out of control signal faster in small shifts than its counter parts including CUSUM, MECH and MEC charts. This will help in having adequate plans and prevent the increase in diabetics in the country.
Abstract: Control chart is a useful technique which helps in detecting out of control signal in a process and it can either be a memory-type or memory-less control chart. This work is focused on evaluating the monthly incidence of diabetic disease using four univariate memory-type control charts. In this study we evaluated the average run length (ARL) proper...
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On the Comparison of Some Link Functions of Binary Response Analysis Under Symmetric and Asymmetric Assumptions
Saddam Adams Damisa,
Musa Tasi’u,
Salamatu Yusuf Bello,
Farouq Ndamadu Musa,
Nurudeen Ayobami Ajadi,
Samson Agboola
Issue:
Volume 2, Issue 4, December 2017
Pages:
145-149
Received:
1 August 2017
Accepted:
29 August 2017
Published:
23 September 2017
DOI:
10.11648/j.bsi.20170204.13
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Abstract: Binary response analysis is modeled when the response variable is nominal and as such violates the use of the ordinary linear regression model. This paper utilizes the classical approach to fit a categorical response regression model using the logit, probit. loglog and the complementary loglog (Cloglog) link functions under symmetric and asymmetric assumptions. It is captured in past studies that we can only make comparisons between these link functions when n is large say (n > 1000), In this study we compared the link functions to investigate this claim with small values of n less than 1000. We fit the Cloglog and loglog models on 600 tuberculosis patients who may be co-infected with hypertension while the R package was initiated in simulating a binary data for fitting the logit and probit models using the Akaike Information Criterion (AIC) as a basis of comparison for the symmetric and asymmetric different model fitting techniques. The result of the simulated data of sample size 50 revealed that there is a difference between the two symmetric link functions with differing values of AIC with the Probit outperforming the logit link having least values of AIC which indicates that the probit link should be preferred under the symmetric assumption. While under the asymmetric link functions the loglog outperformed the cloglog with smaller values of AIC utilized on the life dataset which gives us the notion that the loglog link should be preferred under the asymmetric assumption. Furthermore table 6 also indicates that type of occupation is the only significant factor associated with hypertension in tuberculosis infected patients under study using both the cloglog and loglog link functions. On this note we recommend that patients with diabetes should be given less strenuous jobs and occupations to handle. Finally we were able to show that the link functions can be distinguished even with small values of (n < 1000) under the two assumptions.
Abstract: Binary response analysis is modeled when the response variable is nominal and as such violates the use of the ordinary linear regression model. This paper utilizes the classical approach to fit a categorical response regression model using the logit, probit. loglog and the complementary loglog (Cloglog) link functions under symmetric and asymmetric...
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A PC Based Cost Effective Advanced Cardio Signals Monitoring System
Anamika Bose,
Saleh Ebn Sharif,
Akanksha Sinha
Issue:
Volume 2, Issue 4, December 2017
Pages:
150-161
Received:
12 August 2017
Accepted:
30 August 2017
Published:
23 September 2017
DOI:
10.11648/j.bsi.20170204.14
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Abstract: In this paper, a low cost and simple portable PC based ECG monitoring system was presented. The main aim of this project is to implement a simple ECG monitoring system in laboratory conditions using components available in the local market. Normally, in twelve leads ECG, Lead-2 offers the most valuable information to diagnose the heart condition. In this project, Lead-2 is implemented in hardware together with computer interfacing. Twelve leads machine can be made simply using the same circuit twelve times for each lead or time division multiplexing with corresponding increase in complicacy. The electrical signal obtained and processed from circuit was fed to sound card of the computer through audio port and then, signals were shown using built-in virtual oscilloscope of MATLAB named soft scope. The detailed circuit development, noise reduction, filtering and installation, as well as the results, are presented.
Abstract: In this paper, a low cost and simple portable PC based ECG monitoring system was presented. The main aim of this project is to implement a simple ECG monitoring system in laboratory conditions using components available in the local market. Normally, in twelve leads ECG, Lead-2 offers the most valuable information to diagnose the heart condition. I...
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Attitude Towards Research Evidence Utilization in Radiography Practice
Anselm Ejike Chukwuani,
Abimbola Osanaiye,
Franklin Eneje Obinna
Issue:
Volume 2, Issue 4, December 2017
Pages:
162-165
Received:
23 July 2017
Accepted:
16 August 2017
Published:
9 October 2017
DOI:
10.11648/j.bsi.20170204.15
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Abstract: The advent of technological innovations into medical imaging has undoubtedly revolutionized the approach to patient care in radiological settings. Consequently, clinical imaging professionals must always strive to keep abreast with research evidence in order to keep approach to patient care relevant, current, result-oriented, appropriate and cost-effective. However, there is little information on how research evidence utilization (REU) is perceived and practiced by radiographers in Nigeria. As a result, this study aimed to gain a better understanding of the attitude and perceptions of radiographers to the use of research evidence in practice. A total of 40 licensed and practicing radiographers in both public and private hospitals in South-east Nigeria were surveyed using well-structured questionnaires. Data collected were statistically analyzed using Statistical Package for Social Sciences software (SPSS v. 17). The results of the evaluation of knowledge, interest and perception of respondents about research utilization shows that many respondents (75%) agree that radiographers should be involved in health research and that research utilization will improve patient outcomes (68%). Many (72%) disagree that radiographers don’t engage in research activities but few of the respondents (32%) admit that radiographers utilize research evidence in practice. Majority of the respondents (74%) don’t perceive lack of interest as a barrier to REU in radiography practice. Further results show that radiographers do not utilize research evidence due to poor knowledge of what constitutes quality evidence (68%), don’t know how to implement it (72%) or limited by institutional/organizational factors (75%). However, most radiographers (78%) agree that addressing the issues raised in this research evaluation will encourage REU in radiography practice. These findings from this study suggest that the majority of radiographers hold favorable attitude and beliefs toward research utilization but exhibit poor implementation of research evidence in practice due to peculiar barriers. It is believed that addressing these challenges will ensure the effective REU in radiography practice. Radiographers are also encouraged to consider new resources aimed at facilitating best practice and guidelines. Policies, tailored to increase adherence to best imaging practice and ensure improved patient outcomes, should also be formulated at local, state and federal government levels.
Abstract: The advent of technological innovations into medical imaging has undoubtedly revolutionized the approach to patient care in radiological settings. Consequently, clinical imaging professionals must always strive to keep abreast with research evidence in order to keep approach to patient care relevant, current, result-oriented, appropriate and cost-e...
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Statistical Tests for Identification of Differentially Expressed Genes in Microarray Data
Harun or Rashid,
Arefin Mowla,
Siddikur Rahman,
Siraj-Ud-Doulah,
Bipul Hossen
Issue:
Volume 2, Issue 4, December 2017
Pages:
166-171
Received:
29 July 2017
Accepted:
30 August 2017
Published:
20 October 2017
DOI:
10.11648/j.bsi.20170204.16
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Abstract: Gene expression assay provide a fast and organic way to identity disease markers relevant to clinical trial in modern age. In microarray experiments, differentially expressed genes, or discriminator genes, are the genes with considerably different expression patterns in two user-defined groups. Typically microarray data consists of huge amount of genes, and which genes are responsible or differentiable for a particular disease. Identification of differentially expressed genes across multiple conditions has become a vigorous statistical problem in analyzing large-scale microarray data. In this perspective, we considered a simulated data and real data sets (Head and Neck cancer). This paper uses some statistical methods: t-test, Wilcoxon signed-rank sum test and renewed approach to detect the differential expression of genes between conditions and finding the required number of differentially expressed genes. Additionally Principal Component Analysis (PCA) and largest difference from mean and data methods are used for visualizing outliers and finding numerical outliers respectively. If introducing some artificial outliers to simulated and real data sets and these outliers are not affected or not related to the differentially expressed genes. Results reveal that 25, 126 and 385 differentially expressed genes are identified by using t-test, Wilcoxon Rank sum test and Renewed Approach respectively. Among the three methods 23 common genes those are may be responsible for cancer disease. This paper shows that the two samples mean test (t-test) is perfectly used to identify the differentially expressed genes in microarray data.
Abstract: Gene expression assay provide a fast and organic way to identity disease markers relevant to clinical trial in modern age. In microarray experiments, differentially expressed genes, or discriminator genes, are the genes with considerably different expression patterns in two user-defined groups. Typically microarray data consists of huge amount of g...
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Statistical Analysis of Factors Affecting the Weight of Babies at Birth
Obikee Adaku Caroline,
Obiora-Ilouno Happiness Onyebuchi,
Okoli Cecilia Nchedo
Issue:
Volume 2, Issue 4, December 2017
Pages:
172-179
Received:
6 May 2017
Accepted:
25 May 2017
Published:
15 November 2017
DOI:
10.11648/j.bsi.20170204.17
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Abstract: This research work studied statistically those factors which determine the weight of a baby at birth. The data used in this research work was collected from the Prenatal and Postnatal Register of Ebonyi State University Teaching Hospital Abakaliki, Nigeria. The data covered all births recorded from January 2009 to December 2013. Factors which determine birthweight are numerous but for this work, variables of greater influence were considered which include: Mother’s age, Parity, Method of Delivery and the Sex of the baby. By Chi-square Test Statistics, it was observed that the birthweight of a baby depends on the sex of the baby with a calculated value 12.14 and a critical value 7.81 0.5 level of significance. Also the method of delivery of a baby also proved to be a significant factor affecting birthweight with a calculated 50.90 and a critical value 12.6 By Chi-Square Test also, the mother’s age and parity shown not to be significant factors affecting birthweight with Chi-Square values 1.90, 1.001 and critical values of 12.6 and 7.81 The Z–Test Statistic was also applied to test for the significance difference between the mean birth weigh of male and female babies and it yielded a calculated value 6.48 and a critical value 1.96 at 0.5 level of significance which indicates that there is a significant difference between the mean birthweights of sex of the babies. Also by Z–Test also, method of delivery proved to be a significant factor affecting birthweight with a calculated value 5.41 and a critical value 1.96. Time Series Analysis was also employed to obtain the seasonal variations between the sex of babies and it was observed that more female babies are born during the third quarter and more male babies are born during the fourth quarter of the year. Also by Least Square Method of Regression Analysis, it was predicted that in the year 2014, the total number of male and female birth will be 140 and also in the year 2015, the total number of male and female birth will be 141.
Abstract: This research work studied statistically those factors which determine the weight of a baby at birth. The data used in this research work was collected from the Prenatal and Postnatal Register of Ebonyi State University Teaching Hospital Abakaliki, Nigeria. The data covered all births recorded from January 2009 to December 2013. Factors which deter...
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