by Gabriel Bezerra Costa de Lima  , Geysa de Castro Pereira  , Jorge González  and Assed N. Haddad

Received: 28 May 2025;  Published: 23 September 2025;  doi: 10.21926/rpse.2503014

Dynamic Life Cycle Assessment (DLCA) is an emerging approach in the construction industry it is. Yet, current research is often limited, overlooks operational patterns, and relies on generic case studies, highlighting the need for an extended method to apply these analyses in the built environment. This study conducts a Systematic Literature Review to evaluate the current state of DLCA research and identify key steps toward developing a unified and globally applicable methodology. Using the PRISMA protocol, 69 peer [...]

by Ibram Ganesh

Received: 31 July 2025;  Published: 17 September 2025;  doi: 10.21926/rpse.2503013

The United Nations Organization (UNO) in the year 2015 formulated seventeen sustainable development goals (UNO’s 17 SDGs) to be achieved by the end of the year 2030. The so far achieved progress indicates that none of these UNO’s 17 SDGs can be achieved before the deadline. In fact, all these goals can be achieved by developing suitable technologies to fully capture and utilize all the renewable energy resources available on earth to meet all the energy needs of society without any backup from fossil fu [...]

by Irina Shtangeeva

Received: 24 March 2025;  Published: 08 July 2025;  doi: 10.21926/rpse.2503012

Lanthanum (La) is widely used in various fields. As a consequence, it can accumulate in soil and thus pose a potential hazard to the environment, including a decrease of plant biomass and chlorophyll content. To date, most experimental studies on the biogeochemistry of La have focused on toxic effects resulting from its accumulation in plants growing in La-contaminated areas, while the behavior of La in plants growing in uncontaminated soils has been the subject of much less research. The primary objectives of this [...]

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 the diffusion equat [...]

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 examples, it delves into [...]

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 integrated using key techn [...]

by Marcos Lacasa-Cazcarra

Received: 31 July 2024;  Published: 25 March 2025;  doi: 10.21926/rpse.2501005

The main aim of this work is to analyze the impact of the National Minimum Wage (NMW) on wealth redistribution in Spain during the 2001-2021 period. This research addresses a fundamental question: Does increasing the minimum wage effectively reduce income inequality and contribute to a more equitable wealth distribution without negatively impacting overall economic growth and employment? Using a complete statistical census provided by the Spanish Tax Administration Agency, this study examines how the increase in th [...]