Achieving both high efficiency and high selectivity remains a central challenge in catalytic hydrogenation reactions, as rapid reactant activation often leads to overly strong binding of intermediates and unwanted over-reduction. A new photocatalytic strategy now demonstrates how this long-standing trade-off can be overcome. By harnessing nonequilibrium charge carriers generated under visible light, the system promotes efficient hydrogen dissociation while steering the reaction toward selective semihydrogenation. Active hydrogen species migrate away from their formation sites to neighboring catalytic surfaces, where product formation and desorption are energetically favored. This spatial separation of reaction steps enables near-complete conversion under ambient conditions while maintaining excellent selectivity, offering a powerful new design principle for advanced catalytic systems.

Hydrogen peroxide is a widely used chemical essential to water treatment, disinfection, and green manufacturing, yet its conventional production relies on energy-intensive and centralized processes. Recent research highlights an emerging electrochemical route that generates hydrogen peroxide directly from oxygen and water under ambient conditions. Central to this approach is the use of noble metal-free single-atom electrocatalysts, where isolated metal atoms embedded in nitrogen-doped carbon precisely steer oxygen reduction toward the desired two-electron pathway. By combining atomic-scale catalyst design with advanced reactor engineering, this strategy offers a cleaner, safer, and more flexible way to produce hydrogen peroxide on demand, opening new possibilities for decentralized and sustainable chemical manufacturing.

A research paper just published in Science China Life Sciences reports that a bacterial effector, delivered via a type IV secretion system, directly disarms a competitor’s type VI secretion system by hijacking its core structural component VgrG1, thereby blocking the competitor's antibacterial defense without killing it — a "win without battle" strategy.

Alterations in the bacterial composition in various anatomical sites of the human body have been associated with tumorigenesis and the progression of multiple cancers; however, divergent results regarding enriched bacteria have been reported across studies of the same disease, indicating cohort-dependent bacterial compositional variance. To move beyond this inconsistency, a research team led by Professor Na Liu from Sun Yat-sen University Cancer Center proposes a fundamental shift in perspective. The team argues that it is the functional repertoire of bacterial communities, rather than their taxonomic identity, that serves as the core driver of tumor progression. The team proposes the unified nomenclature of bacterial functional constituents as “tumor-associated bacterial effectors” (TABEs), categorizing them into six functional classes according to their chemical nature, conserved structural features, and analogous mechanisms of action in regulating host cells. The researchers believe that exploring the mechanisms of TABEs in cancer represents a critical step toward harnessing their biological potential in real-life clinical settings.

This study demonstrates an experimentally feasible scheme to achieve robust strong coupling between a single quantum dot and a plasmonic nanocavity integrated with a one-dimensional photonic crystal cavity. A Rabi splitting exceeding 170 meV is observed in dark-field scattering spectra. We further demonstrate that the stronger localized electric field within the hybrid cavity not only enhances the coupling strength but also, owing to the more uniform field distribution, reduces the sensitivity of the coupling strength to the quantum dot position within the cavity, thereby improving the uniformity of the device's coupling performance. The robustness of such a strongly coupled system will advance the development of room-temperature quantum devices based on single emitters for potential applications.

Confronting the central challenge of how necroptosis reconciles high sensitivity to stimuli with robustness against intrinsic noise in complex living systems, this study systematically dissect the underlying design principles that govern cell-fate decisions. By integrating biophysical modelling with large-scale topological screening, we resolve the intricate biochemical reaction network into a minimal set of organizing rules. Our analysis identifies the incoherent feedforward loop (IFFL) as the core functional motif driving the observed dynamics. This topology endows the system with a distinctive bell-shaped input–output response, scale invariance, and the capacity to switch precisely between apoptotic and necrotic fates. Beyond elucidating the dynamical logic of cell death signalling, this work reveals, from a physics-informed perspective, a unifying “complexity-to-simplicity” design principle that may underlie the evolutionary construction of sophisticated signalling networks. It further provides a conceptual framework for understanding how dysregulation of cell-fate decisions contributes to pathological processes such as inflammation and tumorigenesis.

When robots perform complex tasks, the pose accuracy of the end-effector is critical. However, errors from individual joints tend to accumulate along the kinematic chain, making it challenging to guarantee high pose precision at the end-effector. To address this issue, this study proposes a virtual-constraints-based end-effector pose compensator (VEPC). The method treats the actual angles of specific joints as known inputs and automatically adjusts the remaining joint angles in real time, effectively eliminating the pose errors of the end-effector caused by the joints. Experimental results demonstrate that the method can reduce the maximum end-effector position error by over 75%. Moreover, the method requires no additional sensors, offering low cost and high compatibility.