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We consider in this paper an illustration of the modified variational iteration method (MVIM) as an effective and accurate solver of 12th order boundary value problem (BVP). For this reason, the Chebyshev polynomials of the principal kind was utilized as a premise capabilities in the guess of the logical capability of the given issue. The strategy is applied in an immediate manner without utilizing linearization or irritation. The subsequent mathematical confirmations recommend that the strategy is without a doubt successful and exact as applied to a few direct and nonlinear issues as mathematical trial and error. Maple 18 was used for all computational simulations carried out in this research.©2022 JNSMR UIN Walisongo. All rights reserved.

The dataset presented captures both the customers’ experience and observed problems with electricity distribution in Delta State, South-South, Nigeria. The data is obtained by means of a well-structured questionnaire implemented by trained interviewers In obtaining the demographic information respondents mostly had to tick(Ö) the appropriate responses on the questionnaires. To obtain the customers’ experiences with the distribution company (DISCO), the respondents were presented with a series of positive statements and were expected to assign numbers between 1 and 5 on a five-point scale to indicate their level of agreement with the positive statements. For the observed problems with the services of the distribution company, respondents were to assign scores between 0 and 10 inclusive depending on the severity of the observed problems. The data was analysed by means of two computer software packages; Microsoft Excel, 2016 Edition and IBM SPSS Version 23. The data is presented in charts, tables, database and spreadsheet files.

The dreaded COVID-19 is a communicable respiratory disease caused by a new strain of coronavirus that causes illness in humans. A study of the transmission dynamics of the disease is essential in the control and elimination of the disease. In this research work, we made some assumptions and employed a deterministic SEIR model in the study of the transmission dynamics of the novel coronavirus disease. A mathematical analysis is performed on the model. This analysis includes the positivity of solutions of the model, boundedness of solution, equilibrium points, basic reproduction number, stability and sensitivity analysis. The effects of some sensitive parameters of the basic reproduction number of the COVID-19 disease are made visible in the numerical solutions of the disease model. These simulations which can be employed as a guide in the control and elimination of the disease shows that individual's compliance to government's laws on the use of facemask and social distancing is a major successful tool to be positively embraced in the fight against this human enemy.

This paper focuses on the application of Mamadu-Njoseh polynomials (MNPs) as basis functions for the solution of singular initial value problems in the second-order ordinary differential equations in a perturbation by decomposition approach. Here, the proposed method is an hybrid of the perturbation theory and decomposition method. In this approach, the approximate solution is slihtly perturbed with the MNPs to ensure absolute convergence. Nonlinear cases are first treated by decomposition. The method is,easy to execute with well-posed mathematical formulae. The existence and convergence of the method is also presented explicitly.Resulting numerical evidences show that the proposed method, in comparison with the Adomian Decomposition Method (ADM), Homotpy Pertubation Method and the exact solution is reliable, efficient and accuarate.