A pervasive dilemma in brain-wide association studies1 (BWAS) is whether to prioritize functional magnetic resonance imaging (fMRI) scan time or sample size. We derive a theoretical model showing that individual-level phenotypic prediction accuracy increases with sample size and total scan duration (sample size × scan time per participant). The model explains empirical prediction accuracies well across 76 phenotypes from nine resting-fMRI and task-fMRI datasets (R2 = 0.89), spanning diverse scanners, acquisitions, racial groups, disorders and ages. For scans of ≤20 min, accuracy increases linearly with the logarithm of the total scan duration, suggesting that sample size and scan time are initially interchangeable. However, sample size is ultimately more important. Nevertheless, when accounting for the overhead costs of each participant (such as recruitment), longer scans can be substantially cheaper than larger sample size for improving prediction performance. To achieve high prediction performance, 10 min scans are cost inefficient. In most scenarios, the optimal scan time is at least 20 min. On average, 30 min scans are the most cost-effective, yielding 22% savings over 10 min scans. Overshooting the optimal scan time is cheaper than undershooting it, so we recommend a scan time of at least 30 min. Compared with resting-state whole-brain BWAS, the most cost-effective scan time is shorter for task-fMRI and longer for subcortical-to-whole-brain BWAS. In contrast to standard power calculations, our results suggest that jointly optimizing sample size and scan time can boost prediction accuracy while cutting costs. Our empirical reference is available online for future study design ( https://thomasyeolab.github.io/OptimalScanTimeCalculator/index.html ).

Remodelling plant immune receptors has become a vital strategy for creating new disease resistance traits to combat the growing threat of plant pathogens to global food security and environmental sustainability1-17. However, current methods are constrained by the rapid evolution of plant pathogens and often lack broad-spectrum and durable protection. Here we report an innovative strategy to engineer broad-spectrum, durable and complete disease resistance in plants through expression of a chimeric protein containing a flexible polypeptide coupled with a single or dual conserved pathogen-originated protease cleavage site fused in frame to the N terminus of an autoactive nucleotide-binding and leucine-rich-repeat immune receptor (NLR) containing a coiled-coil or RESISTANCE TO POWDERY MILDEW 8-like coiled-coil domain. Following invasion, pathogen-originated specific proteases cleave the inactive chimeric protein to form free autoactive NLR, triggering broad-spectrum plant disease resistance. We demonstrate that a single engineered NLR can confer broad-spectrum and complete resistance against multiple potyviruses. Given that many pathogenic organisms across kingdoms encode proteases, this strategy has the potential to be exploited to control viruses, bacteria, oomycetes, fungi, nematodes and pests in plants.

Solution-processed light-emitting diodes based on non-toxic copper-iodide hybrids1 are a compelling solution for efficient and stable deep-blue lighting, owing to their tunability, high photoluminescence efficiency and environmental sustainability2. Here we present a hybrid copper-iodide that shows near-unity photoluminescence quantum yield (99.6%) with an emission wavelength of 449 nm and colour coordinates (0.147, 0.087), alongside its emission mechanism and charge transport characteristics. We use the thin film of this hybrid as the sole active emissive layer to fabricate deep-blue light-emitting diodes and subsequently enhance the device performance through a dual interfacial hydrogen-bond passivation strategy. This synergetic surface modification approach, integrating a hydrogen-bond-acceptor self-assembled monolayer with an ultrathin polymethyl methacrylate capping layer, effectively passivates both heterojunctions of the copper-iodide hybrid emissive layer and optimizes charge injections. We achieve a maximum external quantum efficiency of 12.57%, a maximum luminance of 3,970.30 cd m-2 with colour coordinates (0.147, 0.091) and an excellent operational stability (half-lifetime) of 204 hours under ambient conditions. We further showcase a large-area device of 4 cm2 that maintains high efficiency. Our findings reveal the potential of copper-iodide-based hybrid materials for applications in solid-state lighting3 and display technologies4, offering a versatile strategy for enhancing device performances.

Immigrants to high-income countries often face considerable and persistent difficulties in the labour market1-6, whereas their native-born children typically experience economic progress6-9. However, little is known about the extent to which these immigrant-native earnings differences stem from unequal pay when doing the same work for the same employer versus labour market processes that sort immigrants into lower-paid jobs. Here, using data from nine European and North American countries, we show that the segregation of workers with immigrant backgrounds into lower-paying jobs accounts for about three-quarters of overall immigrant-native earnings differences. Although within-job pay inequality remains notable for immigrants in several countries, our results demonstrate that unequal access to higher-paying jobs is the primary driver of the immigrant-native pay gap across a range of institutionally and demographically diverse contexts. These findings highlight the importance of policies aimed at reducing between-job segregation, such as language training10-13, job training13-15, job search assistance programmes13,15, improving access to domestic education13,16,17, recognizing foreign qualifications18,19, and settlement programmes aimed at enhancing access to job-relevant information and networks13,20,21. Policies that target employer bias in hiring and promotion decisions are also likely to be effective, whereas measures aimed at ensuring equal pay for equal work may have more limited scope for further progress in closing the immigrant-native pay gap22-28.

Biological nitrogen fixation (BNF) is the largest natural source of new nitrogen (N) that supports terrestrial productivity1,2, yet estimates of global terrestrial BNF remain highly uncertain3,4. Here we show that this uncertainty is partly because of sampling bias, as field BNF measurements in natural terrestrial ecosystems occur where N fixers are 17 times more prevalent than their mean abundances worldwide. To correct this bias, we develop new estimates of global terrestrial BNF by upscaling field BNF measurements using spatially explicit abundances of all major biogeochemical N-fixing niches. We find that natural biomes sustain lower BNF, 65 (52-77) Tg N yr-1, than previous empirical bottom-up estimates3,4, with most BNF occurring in tropical forests and drylands. We also find high agricultural BNF in croplands and cultivated pastures, 56 (54-58) Tg N yr-1. Agricultural BNF has increased terrestrial BNF by 64% and total terrestrial N inputs from all sources by 60% over pre-industrial levels. Our results indicate that BNF may impose stronger constraints on the carbon sink in natural terrestrial biomes and represent a larger source of agricultural N than is generally considered in analyses of the global N cycle5,6, with implications for proposed safe operating limits for N use7,8.

Propagation of intense X-ray pulses through dense media has led to the observation of phenomena such as atomic X-ray lasing1,2, self-induced transparency3 and stimulated X-ray Raman scattering (SXRS)4. SXRS has been long predicted as a means to launch and probe valence-electron wavepackets and as a building block for nonlinear X-ray spectroscopies5,6. However, experimental observations of SXRS to date4,7,8 have not provided spectroscopic information, and theoretical modelling has largely implemented hard-to-realize phase-coherent attosecond pulses. Here we demonstrate SXRS with spectroscopic precision, that is, detection of valence-excited states in neon with a near Fourier-limited joint energy-time resolution of 0.1 eV-40 fs. We used a new covariance analysis between statistically spiky broadband incident X-ray and scattered X-ray Raman pulses. Using 18,000 single shots, we beat not only the incident (about 8 eV) bandwidth but also the  approximately 0.2 eV instrumental energy resolution, thus creating super-resolution conditions, in analogy to super-resolved fluorescence microscopy9. Our experimental results, supported by ab initio propagation simulations, reveal the competition between lasing in the ion and stimulated Raman scattering in the neutral. We demonstrate enhanced signal collection efficiency and a broad excitation window, surpassing spontaneous Raman efficiencies by orders of magnitude. This stochastic SXRS approach represents a first step towards tracking elementary events that determine chemical outcomes10.

Terrestrial planets and small bodies in our Solar System are theorized to have assembled from interstellar solids mixed with rocky solids that precipitated from a hot, cooling gas1,2. The first high-temperature minerals to recondense from this gaseous reservoir start the clock on planet formation3,4. However, the production mechanism of this initial hot gas and its importance to planet formation in other systems are unclear. Here we report the astronomical detection of this t = 0 moment, capturing the building blocks of a new planetary system beginning its assembly. The young protostar HOPS-315 is observed at infrared and millimetre wavelengths with the James Webb Space Telescope (JWST) and the Atacama Large Millimeter Array (ALMA), revealing a reservoir of warm silicon monoxide gas and crystalline silicate minerals low in the atmosphere of a disk within 2.2 AU of the star, physically isolated from the millimetre SiO jet. Comparison with condensation models with rapid grain growth and disk structure models suggests the formation of refractory solids analogous to those in our Solar System. Our results indicate that the environment in the inner disk region is influenced by sublimation of interstellar solids and subsequent refractory solid recondensation from this gas reservoir on timescales comparable with refractory condensation in our own Solar System.