A new perspective published in Biological Diversity links plant functional traits to ecological resilience, offering a more precise way to forecast how ecosystems will respond to climate change.

A review paper by scientists from Tianjin University presented light on brain-on-a-chip interfaces (BoCIs)—a groundbreaking technology that fuses lab-grown biological neural networks with electronic systems to enable bidirectional information exchange.

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified blueprint for researchers to navigate classification, clustering, incomplete views and hybrid techniques.

DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification accuracy for streaming irregular multivariate time series.

A research paper by scientists from Liaoning Cancer Hospital & Institute, The First Affiliated Hospital of Ningbo University, and other institutions proposed a hollow mesoporous carbon (HMC) nanoparticle prepared via the sacrificial template method, featuring a porphyrin-like structure that enables efficient singlet oxygen generation and synergistic sono-immunotherapy for pancreatic cancer.

The new research paper, published on May 9 in the journal Cyborg and Bionic Systems, presented the preparation, characterization, and therapeutic application of MOF-derived HMC nanoparticles, and demonstrated their potential to enhance sono-immunotherapy efficacy by inducing tumor cell apoptosis and activating the immune

 Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the representation performance.