by Sergey Borisenok

Received: 13 December 2024;  Published: 23 June 2025;  doi: 10.21926/rpse.2502011

The spatial evolution of the epileptiform regime in neural networks can be alternatively described in terms of a statistical approach, dealing with average smooth, differentiable fields rather than discrete neural elements. After a brief review of mathematical methods for modeling epilepsy (the condensed matter vs. the neural mass models) together with their pros and cons, we introduce our continuous-space model for the pre-ictal scalar field and the ictal epileptiform vector flux in the form of [...]

by Recent Progress in Science and Engineering Editorial Office

Received: 22 June 2025;  Published: 23 June 2025;  doi: 10.21926/rpse.2502010

by Recent Progress in Science and Engineering Editorial Office

Received: 05 May 2025;  Published: 06 May 2025;  doi: 10.21926/rpse.2502009

by Recent Progress in Science and Engineering Editorial Office

Received: 07 April 2025;  Published: 11 April 2025;  doi: 10.21926/rpse.2502008

by G.-Fivos Sargentis

Received: 05 February 2025;  Published: 02 April 2025;  doi: 10.21926/rpse.2502007

This study investigates the relationship between entropy and societal dynamics, with a particular focus on the origins and implications of war. By using entropy as a measure of uncertainty and inequality, the research examines societal stability through patterns of stratification and wealth distribution. Employing simplified models of various wealth distributions, the study explores their effects on social stratification and the potential for conflict. Drawing on historical and contemporary exam [...]

by Mrutyunjay Padhiary  , Pankaj Roy  and Kundan Kumar

Received: 26 August 2024;  Published: 01 April 2025;  doi: 10.21926/rpse.2502006

Precision agriculture depends on the automation and mechanization of agricultural equipment and vehicles in a variety of terrains, which increases productivity and sustainability. This review presents a comparative analysis of significant simulation software used in designing and developing automated agricultural systems, emphasizing their methodologies and significance in advancing farm technology. Artificial intelligence (AI) and machine learning (ML) methods are modeled, optimized, and integr [...]