Volume 7 (2024) Issue 1

Author(s): Jonah Lissner1,2,3,4
1Alumnus, Foukzon Laboratory, Center for Mathematical Sciences, Technion — Israel Institute of Technology
2Invited Scientist, Numerical Calculus Laboratory, University of Calabria
3Researcher, Laboratoire de Mecanique Quantique et Structures de l’Information
4Director, Center for Computer Science, Mathematics, and Engineering Physics [CCSMEP]
Abstract:

Entropy patterns typically transfer actions of two-state relations in nonlinear systems. Here, multivalent logic is applied from autowave fields to selected Quantum Neurophysical systems.

Author(s): Igibah Ehizemhen Christopher1, Busari, Ayobami Adebola1, Aderinola Olumuyiwa Samson2, Agashua Lucia Omolayo2
1Department of Civil Engineering, Federal University Oye Ekiti, Ekiti State, Nigeria
2Department of Civil Engineering, Federal University of Technology, Akure, Ondo State, Nigeria
Abstract:

This study investigates contemporary and emerging transportation problems in North-central Nigeria. Its primary objective is to identify and characterize the major challenges facing passengers within the region and to propose a sustainable institutional framework for improved transportation management. The study draws upon data collected through field audits in three North-central states: the Federal Capital Territory (FCT) Abuja, Nasarawa, and Niger. Key findings highlight the lack of developed transit connections to major activity centers. The study concludes that these challenges stem from inefficiencies within the existing institutional mechanisms for transportation management. To address this, the study proposes the establishment of an effective, innovative transport system, such as an intercity train network within the North-central zone, as a sustainable transportation management strategy for the region.

Author(s): Farooq Ahmed Shah1, Muhammad Aslam Noor2
1Department of Mathematics, COMSATS University Islamabad, Attock Campus Pakistan
2Department of Mathematics, COMSATS University Islamabad, Pakistan
Abstract:

The purpose of this paper is to introduce and evaluate novel iterative methods for approximating solutions to nonlinear equations, which leverage the power of the variational iteration technique. Specifically, we present a comprehensive analysis of the proposed methods and demonstrate their effectiveness through various examples. Moreover, we provide a comparative analysis with other existing methods and conclude that the newly developed methods offer a competitive alternative. Our results highlight the potential of this approach in generating a diverse set of iterative methods for solving nonlinear equations. Therefore, this study contributes to the ongoing efforts to improve the efficiency and accuracy of nonlinear equation solving techniques.