by Recent Progress in Science and Engineering Editorial Office

Received: 03 January 2026;  Published: 04 January 2026;  doi: 10.21926/rpse.2601001

The editors of Recent Progress in Science and Engineering would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2025. We greatly appreciate the contribution of expert reviewers, which is crucial to the journal's editorial process. We aim to recognize reviewer contributions through several mechanisms, of which the annual publication of reviewer names is one. Reviewers can download a certificate of recognition directly from our submission system. Additionally, reviewers [...]

by Adel Razek

Received: 07 October 2025;  Published: 17 December 2025;  doi: 10.21926/rpse.2504017

A relevant objective of managing an electromagnetic (EM) device is to improve its expected results and reduce its undesirable side effects. In this context, this paper aims to evaluate the interest of the two One Health and Responsible Attitude methods in the daily practice of wireless transmission (or transfer) in EM energy devices. These approaches are respectively linked to device eco-design and optimization, as well as to the protection of biodiversity and ecosystems against device side effects related to EM fi [...]

by Kuok Ho Daniel Tang

Received: 16 November 2025;  Published: 19 November 2025;  doi: 10.21926/rpse.2504016

Artificial intelligence (AI) is reshaping microplastic research by enabling faster, more accurate, and scalable detection, characterization, and modeling. Deep learning automates the identification and classification of microplastics from microscopy images, while machine learning accelerates the recognition of polymers from Raman and infrared spectra. AI-based clustering and segmentation improve the analysis of complex samples, and source-apportionment models learn morphological and chemical features to trace emiss [...]

by Takashiro Akitsu

Received: 09 November 2025;  Published: 11 November 2025;  doi: 10.21926/rpse.2504015

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