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 effe [...]

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 fea [...]

by Takashiro Akitsu

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