Science Advances最新文献

The warming climate is creating increased levels of climate risk because of changes to the hazards to which human and natural systems are exposed. Projections of how those hazards will change are affected by uncertainties in the climate sensitivity of climate models, among other factors. While the level-of-global-warming approach can circumvent model climate sensitivity uncertainties in some applications, practitioners faced with specific adaptation responsibilities often find such projections difficult to use because they generally require time-oriented information. Earth system projections following specified emissions scenarios can, however, be constrained by applying the level-of-global-warming approach to observationally constrained warming projections to yield more reliable time-oriented projections for adaption planning and implementation. This approach also allows individual groups to produce consistent and comparable assessments of multifaceted climate impacts and causal mechanisms, thereby benefiting climate assessments at national and international levels that provide the science basis for adaptation action.

Site-2 proteases (S2Ps), conserved intramembrane metalloproteases that maintain cellular homeostasis, are associated with chronic infection and persistence leading to multidrug resistance in bacterial pathogens. A structural model of how S2Ps discriminate and accommodate substrates could help us develop selective antimicrobial agents. We previously proposed that the Escherichia coli S2P RseP unwinds helical substrate segments before cleavage, but the mechanism for accommodating a full-length membrane-spanning substrate remained unclear. Our present cryo-EM analysis of Aquifex aeolicus RseP (AaRseP) revealed that a substrate-like membrane protein fragment from the expression host occupied the active site while spanning a transmembrane cavity that is inaccessible via lateral diffusion. Furthermore, in vivo photocrosslinking supported that this substrate accommodation mode is recapitulated on the cell membrane. Our results suggest that the substrate accommodation by threading through a conserved membrane-associated region stabilizes the substrate-complex and contributes to substrate discrimination on the membrane.

Anisotropic heat-conducting materials play crucial roles in designing electronic, optoelectronic, and thermoelectric devices, where temperature and thermal stress are important. Despite substantial research efforts, a major obstacle to determining the anisotropic thermal diffusivity tensor in polycrystalline systems is the need for a robust, direct, and nondestructive technique to distinguish between distinct thermal diffusivities. Here, we demonstrate a conceptually unique thermal diffusivity microscope capable of performing high-resolution local measurements of anisotropic thermal diffusivity. The microscope features a unique micro four-point probe for fast, nondestructive scanning without calibration or extra sample preparation. It measures anisotropic thermal diffusivity based on thermal delay from a single heater. Through a series of experiments, we demonstrate that the anisotropy of the measured thermal diffusivity correlates excellently with the crystallographic direction of prototypical Bi₂Te₃. The anisotropic heat transport shows that the lattice contribution dominates the heat transport for both in- and out-of-plane directions.

Quantum networks (QNs) exhibit stronger connectivity than predicted by classical percolation, yet the origin of this phenomenon remains unexplored. We apply a statistical physics model-concurrence percolation-to uncover the origin of stronger connectivity on hierarchical scale-free networks, the (U, V) flowers. These networks allow full analytical control over path connectivity through two adjustable path-length parameters, ≤V. This precise control enables us to determine critical exponents well beyond current simulation limits, revealing that classical and concurrence percolations, while both satisfying the hyperscaling relation, fall into distinct universality classes. This distinction arises from how they "superpose" parallel, nonshortest path contributions into overall connectivity. Concurrence percolation, unlike its classical counterpart, is sensitive to nonshortest paths and shows higher resilience to detours as these paths lengthen. This enhanced resilience is also observed in real-world hierarchical, scale-free internet networks. Our findings highlight a crucial principle for QN design: When nonshortest paths are abundant, they notably enhance QN connectivity beyond what is achievable with classical percolation.