A recent work published in National Science Review report the first realization of a higher-order Weyl exceptional ring semimetal in a 3D lossy acoustic metamaterial. This study systematically analyzes the non-Hermitian topological properties of such metamaterial, and focuses on two types of higher-order topological phenomena: topological hinge states and hinge-dependent skin effect.

The Universitat Jaume I of Castelló has secured nearly one million euros for five projects under the competitive call for grants aimed at strengthening research careers, within the Human Resources programme of the 2024–2027 State Plan for Scientific, Technical and Innovation Research. This achievement places the UJI fourth nationally and first in the Valencian Community in terms of funding obtained in this call, behind only the Spanish National Research Council (CSIC), the University of Barcelona and the Universitat Politècnica de Catalunya, and ahead of larger universities.

The 2025 call awarded a total of 130 grants worth almost 25 million euros. Its aim is to support the consolidation of the professional careers of national and international researchers within the Spanish System for Science, Technology and Innovation (SECTI), through the creation of permanent positions and by facilitating the launch or strengthening of research lines via funding for R&D&I projects and the improvement of laboratories, facilities and scientific equipment.

Promoters are key DNA regions that control gene transcription, but their activity varies greatly across different cell types. This heterogeneity makes it difficult for existing computational methods to identify promoters reliably. A team led by Professors Zhangyu Mei and Hao Wu from Shandong University, China, has developed MuSE‑Promoter, a deep ensemble learning framework that combines multi‑scale feature fusion, transformer attention, and a learnable weighted ensemble of neural network and random forest. The system outperforms state‑of‑the‑art methods on human cell lines from different tissues and on Arabidopsis thaliana datasets, and shows excellent generalization in cross‑cell‑line and promoter–enhancer discrimination tasks.