Securing Reliability for DSS Storage Media using FAT32 File System in the Developing Countries with Erratic Power Supply

In this paper, the dynamic nature of FAT32 file system is presented. The paper highlights the significant similarities and differences of various file systems used in storage media today. It reappraises the FAT32 File System and Techniques as a reliable file system to be used in storage media in the developing countries with erratic power supply. The File System used in a storage media is the foundation on which the operating system will be installed and subsequent programs and the Decision Support System (DSS), thus the foundation must be solid to provide the needed data and information storage security. FAT32 file system could offer such confidence. The data recovery capacities and compatibilities of FAT32 file system is enormous comparing with other file systems, especially in the developing countries where uninterrupted electricity supply is still hoped for. This paper concludes with the recommendations on the use of FAT32 file systems for better performance in designing and implementing of enterprise-wide Decision support system

MODELING THE EFFECTS OF CLIMATE VARIABILITY ON MALARIA PREVALENCE

 Malaria is believed to be one of the deadly killers of humans worldwide and a threatto one-third of the world’s population. Based on this assertion, this study is used to determine the effect of Ibadan climatic variability on Ibadan malaria prevalence proportion since the city has a holoendemic malaria transmission. Multiple Trigonometric regression model was used to determine the effects of rainfall and temperature on Ibadan malaria prevalence since it can be used to model series that exhibit two or more types of variations simultaneously. From the results, the residuals of the fitted multiple trigonometric regression model are not serially correlated based on the value of the Durbin Watson Statistics. The coefficients of the fitted model were used to establish that for every unit increase or decrease in Ibadan city rainfall and temperature, there might be an increase or decrease in the malaria prevalence proportion over the years. The values of coefficient of determination  revealed that Ibadan city monthly rainfall and temperature jointly explained the variations in Ibadan malaria prevalence proportion up to 61%. The fitted multiple trigonometric regression model as well as a good fit and high predictive power based on the value of the adjusted coefficient of determination Based on these results Multiple trigonometric regression model is suitable and adequate for modelling the effect of Ibadan monthly climatic variability on malaria prevalence proportion which can cause a high rate of morbidity and mortality if not curtailed or curbed

ANALYTICAL SOLUTION OF THE RELATIVISTIC KLEIN-GORDON WAVE EQUATION

In this study, the solution to Klein-Gordon equations with focus on analytical methods is discussed. The analytical methods used in this research are the Variational Iteration Method (VIM) developed by Ji-Huan He, Adomian Decomposition Method (ADM) by Adomian and New Iterative Method (NIM) developed by Daftardar Gejji and Jafari. The modified Adomian Decomposition method by Wazwaz was used to solve the linear inhomogeneous and nonlinear Klein-Gordon equations to accelerate the convergence of the solution and minimizes the size of calculation while still maintaining high accuracy of the analytical solution. All the problems considered yield the exact solutions with few iterations. The solutions obtained were compared with the exact solution and the solutions obtained by other existing methods. The solutions obtained by the three methods yield the same results and all the problems considered show that the Variational Iteration Method, Adomian Decomposition Method and New Iterative Method are very powerful and potent in solving Klein-Gordon equations and can be used to obtain closed form solutions of linear and nonlinear differential equations (ordinary and partial)

THE NEW ITERATIVE METHOD FOR SOLVING LINEAR AND NONLINEAR SYSTEMS OF PARTIAL DIFFERENTIAL EQUATIONS

In this paper, we used the New Iterative Method (NIM) developed by Daftardar-Gejji and Jafari for the solution of linear and nonlinear systems of partial differential equations. This method is very simple as it reduces the size of computation and readily converges to the exact solution. To demonstrate the efficiency of the method, some illustrative examples were provided. The results obtained confirmed that the method is an efficient method for a wide variety of systems of linear and nonlinear PDEs.&nbsp

SOLVABILITY OF THE THIRD-ORDER KORTEWEG-DE VRIES (KDV) EQUATION BY VARIATIONAL ITERATION AND NEW ITERATIVE METHODS

This paper examined the approximate solution of the third-order Kortewed-de Vries (KdV) equations is obtained by the Variational Iteration Method (VIM) developed by Ji-Huan He and the New Iterative Method (NIM) developed by Daftardar Gejji and Jafari. These methods provide the solution in the form of a convergent series.which illustrate the ability and the effectiveness of the methods, some examples were provided. The results showed that the methods are very simple, effective, powerful and can easily be applied to other linear and nonlinear PDEs

Improving postnatal checkups for mothers in West Africa: A multilevel analysis

This study examined multilevel factors related to postnatal checkups for mothers in selected West African countries. The study analyzed data from Demographic and Health Surveys (DHS) for five West African countries: Sierra Leone (2013), Cote d’Ivoire (2012), Guinea (2012), Niger (2012), and Liberia (2013). The weighted sample sizes were 2125 (Cote d’Ivoire), 2908 (Guinea), 1905 (Liberia), 5660 (Niger), and 3754 (Sierra Leone). The outcome variable was maternal postnatal checkups. The explanatory variables were community and individual/household characteristics. With the use of Stata 12, the chi-square statistic and multilevel mixed-effects logistic regression were applied. More than two-thirds of respondents in Guinea and Niger did not receive a postnatal checkup after their last birth, while in Cote d’Ivoire, Liberia, and Sierra Leone, more than half of respondents received a postnatal checkup after their last childbirth. Community characteristics accounted for the following variations in postnatal checkups: 33.9% (Cote d’Ivoire), 37.2% (Guinea), 27.0% (Liberia), 33.5% (Niger), and 37.2% (Sierra Leone). Community factors thus had important relations to use of postnatal care in West Africa. Interventions targeting more community variables, particularly community education and poverty, may further improve postnatal care in West Africa

Religion as a Social Determinant of Maternal Health Care Service Utilisation in Nigeria

This study examines the relationship between religious affiliation and utilisation of maternal health care services using 2013 Nigeria Demographic and Health Survey data. The outcome variable is utilisation of maternal health care service measured by antenatal care and place of delivery. The explanatory variables were religion and three purposively selected social determinants of health, namely the social gradient, work condition and social exclusion. The chi-square test and multinomial logistic regression were applied. Result show that 50.7% had the recommended 4 or more antenatal care visits; 23.4% and 13.5% respectively utilise public and private sector facilities for their most recent child delivery. The relative risk of having 4 or more antenatal visits reduce by a factor of 0.7863 for Muslim women (p<0.05), and increase by a factor of 5.3806 for women in higher social ladder (p<0.01). Religion should be integrated into the social determinants of health framework.

Trends, Determinants and Health Risks of Adolescent Fatherhood in Sub-Saharan Africa

BACKGROUND: This study examined the trends, determinants and health risks of adolescent fatherhood in three selected African countries where adolescent-girl pregnancy/motherhood are decried but with permissive male sexual latitude.METHODS: Adolescent male data were extracted from the malerecodedatasets of Demographic Health Survey (2000-2014) for Nigeria, Ethiopia and Zambia. The surveys were grouped into 3-Waves: (2000-2004); (2005-2008) and (2011-2014). The study employed descriptive and binary logistics that tested the log-odds of adolescent fatherhood with respect to selected sexual behaviour indices, and individual and shared demographic variables.RESULTS: The results revealed that the number of lifetimesexual-partners among the boys is ≥2. The likelihood of adolescent fatherhood is positively associated with increasing age at first cohabitation and multiple sexual partnerships (≥2) having OR=1.673 and OR=1.769 in 2005/2008 and 2011/2014 respectively. Adolescents who had attained tertiary education, and engaged in professional and skilled jobs were 0.313, 0.213 and 0.403 times (respectively) less likely to have ever-fathered a child. The positive association between rural place of residence and adolescent fatherhood in the past shifted to urban residents in 2011/2014.CONCLUSION: The study concludes that early sexual activities and cohabitation are common among male adolescents among the countries of study. The authors recommend discouragement of boy-girl cohabitation, increasing access to higher education and job opportunities in order to stem boy-fatherhood incidence in the study locations and, by extension, other countries in sub-Saharan Africa.KEYWORDS: Adolescent fatherhood, sexual behaviour, trends, determinants, health risks, lifetime-sexual-partner

A HYBRID MACHINE LEARNING MODEL FOR NETWORK INTRUSION DETECTION

 Intrusion detection is a significant challenge in network security, as it involves detecting unseen attacks in a network or system. In this research, we aimed to build a hybrid machine learning model for intrusion detection using artificial intelligence (AI). To do this, we used the KDD CUP 99 dataset and applied two machine learning algorithms: AdaBoost and Stochastic Gradient Descent Classifier (SGDC). These algorithms were combined to form two hybrid models: SGDC_ADA and ADA_SGDC.  The results of our study showed that the SGDC_ADA model had an accuracy of 0.97 and outperformed the ADA_SGDC model, which had an accuracy of 0.96. In addition, the SGDC_ADA model had an average precision of 0.97, average recall of 0.96, and average F1-score of 0.97, while the ADA_SGDC model had an average precision of 0.96, average recall of 0.95, and average F1-score of 0.96.  Overall, our research suggests that the SGDC_ADA hybrid model is an effective method for intrusion detection, with high accuracy and low error rates. This model may be useful in improving network security and protecting against unseen attacks