A popular vision of life after climate action looks like vegetarians riding bikes, city centers without cars, and people foregoing air travel. But a paper published in Nature Sustainability finds that climate policies targeting lifestyle changes (say, urban car bans) actually weaken people’s green values, thereby undermining support for other needed environmental policies.

Genomic Psychiatry honors Professor Dan Joseph Stein (1962–2025), pioneering South African psychiatrist whose work spanning bench to bundu reshaped global mental health research and built lasting bridges across continents.

Graphs are widely used to represent complex relationships in everyday applications such as social networks, bioinformatics, and recommendation systems, where they model how people or things (nodes) are connected through interactions (edges). Subgraph matching—the task of finding a smaller pattern, or query subgraph, within a larger graph—is crucial for detecting fraud, recognizing patterns, and performing semantic searches. However, current research on streaming subgraph, a similar task where timing is important, matching faces major challenges in scalability and latency, including difficulties in handling large graphs, low cache efficiency, limited query result reuse, and slow indexing performance. To address these issues, Liuyi Chen et al. presented a new framework that leverages a subgraph index based on graph embeddings, enabling effective caching and reuse of query results while demonstrating robustness and consistency across varying batch sizes and datasets. Their work was published in Intelligent Computing, a Science Partner Journal, under the title “Accelerating Streaming Subgraph Matching via Vector Databases”.

A research paper by scientists from Beijing Institute of Technology investigated the anti-tumor effect of millimeter waves (MMWs) alone and in combination with the anti-programmed cell death-ligand 1 (α-PD-L1) antibody in a 4T1 “cold tumor” model.

Tokyo, Japan – Researchers from Tokyo Metropolitan University have studied the relationship between numerical information in our vision, and how it affects our perception of space. Volunteers were asked to identify the center of lines and squares filled with numbers; how far they were from the true center revealed unexpected biases. Crucially, their work with squares showed how our perception of space is a complex interplay between “object-based” processing and our processing of numerical information.