Understanding how cells decide their fate is a central challenge in biology, complicated by the fact that single-cell RNA sequencing captures only static snapshots of highly complex and dynamic changes in cell state. In a recent study, researchers from Japan developed a computational method, called ddHodge, that can accurately reconstruct cell state dynamics, shedding light on how genes drive cell fate decisions. Their technique could be useful in developmental biology, regenerative medicine, and cancer research.

What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, faster way to produce clean energy from waste? That’s exactly what Dr. Yeqing Li and Dr. Junting Pan have achieved with their innovative “knowledge-based machine learning loop framework” (KMLLF), a breakthrough now published in the open-access journal Carbon Research (Volume 4, Article 71, December 16, 2025). Their work redefines how scientists design biochar—the charcoal-like material increasingly used to turbocharge anaerobic digestion (AD), a key process for turning organic waste into renewable biogas.

The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been investigated for years. In a recent breakthrough published in the Chinese Journal of Aeronautics, a novel intelligent decision-making framework that addresses incomplete interference information has emerged. This innovative framework integrates fuzzy logic for uncertainty modeling, dynamic constrained multi-objective optimization, and transfer learning, enabling UAV swarms to achieve autonomous and efficient spectrum allocation under rapidly changing conditions while maintaining both communication performance and security.

Professor Keisuke Fujii, a leading researcher in quantum science at The University of Osaka, has been named among the Quantum 100, a major global initiative celebrating the centennial of the development of quantum mechanics in 2025, proclaimed by the United Nations and led by UNESCO.

The Universitat Jaume I has joined the national STEAM Alliance for Female Talent, promoted by Spain’s Ministry of Education to encourage girls and young women to pursue studies in science, technology, engineering, the arts and mathematics, and to help close the gender gap in these fields. Membership requires submitting a project that promotes STEAM careers among girls and adolescents and passing a rigorous evaluation process.

The university’s application included three initiatives: "Sucre", which introduces computational thinking and programming in primary and secondary schools; "Ingeniera… ¿por qué no?", which raises awareness and provides resources to increase the presence of women in technical degrees; and "Connecta amb la ciència", a programme offering hands-on workshops and talks to secondary school students led by researchers from the university’s science and technology areas.