Researchers have uncovered the initial adaptive mechanisms of Bacillus velezensis C5 when exposed to polyethylene microplastics. Using comparative transcriptomics, the study revealed a robust, polymer‑specific transcriptional program distinct from general starvation or surface‑contact responses. Exposure to polyethylene triggered massive upregulation of genes involved in biofilm formation and sporulation, while genes associated with canonical degradation were not induced. The bacterium remained viable without growth, formed dense biofilms, and increased surface hydrophilicity but caused only subtle physicochemical changes to the plastic. This survival‑first strategy represents a critical initial phase that must be overcome to enable efficient biodegradation.

A comprehensive Cal Poly study examining North American bird population data reveals that environmental change does not affect all species equally. The research, assessing data collected across North America over nearly 30 years, found that no single environmental factor explained bird population changes across all species. Instead, species responded in highly individualized ways because of their interactions with their environment. While human-caused disturbances such as light pollution and air pollution can negatively affect bird populations, ecological traits can help predict species' sensitivity and forecast how well they will respond to ongoing environmental change. The study also highlights the importance of local conservation action. While climate change and regional air pollution require broad policy solutions, many environmental factors affecting birds can be addressed at the level of cities or counties.

A research team has proposed a new framework for understanding how traditional Chinese medicine (TCM) works at the tissue level by using artificial intelligence (AI), single-cell omics, and spatial omics to decode “cell niches”—local microenvironments where multiple cell types interact. 

An research article published in Nano Research provides a comprehensive review of the latest advancements in ADCs, particularly distinguishing different structural subclasses and linking structural types with asymmetric catalytic mechanisms. It discusses the role of artificial intelligence (AI) in the high-throughput screening, performance prediction, and elucidation of catalytic mechanisms of ADCs. The review also highlights the intrinsic logical advancements in characterization techniques and the applications of ADCs in key electrocatalytic reactions, such as the oxygen reduction reaction (ORR), oxygen evolution reaction (OER), hydrogen evolution reaction (HER), and carbon dioxide reduction reaction (CO2RR).

Recently, a team from the University of Electronic Science and Technology of China (in collaboration with the Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences) made significant progress in strain-modulated optoelectronic perception and neuromorphic vision systems. Their findings were published in Nano Research on February 26, 2026.

When intense femtosecond laser pulses irradiate nanoparticles, the rapid energy deposition triggers a cascade of electronic and ionic responses within an extremely short time window, giving rise to transient nanoplasma shock waves-one of the most extreme states of matter reproducible in laboratory environments. These nanoscale shock waves offer a unique platform for studying mesoscale physical processes on ultrafast timescales, and hold promise for applications ranging from nanofabrication and compact laser-driven ion accelerators to targeted cancer therapies. However, achieving fine control over the spatial characteristics and propagation of nanoplasma shock fronts has remained a long-standing challenge.