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A high-bandwidth neuromotor interface offers performant out-of-the-box generalization across people.

Analysis of genomic networks from 430 modern individuals across 21 Pacific island populations reveals the human settlement history of Polynesia.

Developing an understanding of a material’s magnetic behaviour based on neutron scattering measurements often relies on extracting an effective spin model. Samarakoon et al. demonstrate an automated machine learning approach to this problem, leading to more robust inferences from complex data.

Delphi-2M forecasts a person’s future health, covering more than 1,000 diseases, provides insights into co-morbidity dynamics and generates synthetic data for the training of AI models that have never seen actual data.

This study identifies SCEP3 as a conserved central element of the plant synaptonemal complex. SCEP3 is critical for synapsis, heterochiasmy and crossover interference. SCEP3 also promotes a subset of crossover events.

Antiferromagnets exhibit high frequency magnons, in the THz regime, a point potentially useful for applications, however, it has meant that detecting spin-fluctuations in antiferromagnets is typically too fast for current experimental approaches. Here Weiss et al use femtosecond noise correlation spectroscopy to observe magnon fluctuations in Sm0.7Er0.3FeO3.

The antisense oligonucleotide rugonersen has acceptable safety and tolerability in children with Angelman syndrome and shows partial normalization of electroencephalogram abnormalities and clinical improvements relative to natural history.

Federated learning (FL) algorithms have emerged as a promising solution to train models for healthcare imaging across institutions while preserving privacy. Here, the authors describe the Federated Tumor Segmentation (FeTS) challenge for the decentralised benchmarking of FL algorithms and evaluation of Healthcare AI algorithm generalizability in real-world cancer imaging datasets.

A large-scale multi-omics analysis reports oncogenic alterations that drive medulloblastoma progression, rather than initiation, and the findings show how single-cell technologies can be used for early detection and diagnosis of medulloblastoma.

NKR-P1 is an inhibitory receptor on the surface of natural killer cells, and its engagement with the ligand LLT1 on activated monocytes and B cells triggers NK cell self-tolerance and other immunological processes. Here authors set up a comprehensive, structure-based model of NKR-P1-LLT1 interaction that involves NKR-P1 homodimer formation and subsequent bridging of two LLT1 molecules.

Although electrometers based on quantum defects have advanced, achieving time-resolved detection of charges with subnanometer resolution remains challenging. Here the authors use a negatively charged tin-vacancy center in diamond to distinguish charge traps at the lattice scale with high temporal precision.

Solid organ transplant recipients are at increased risk of infectious disease and have unique molecular pathophysiology. Here the authors use host-microbe profiling to assess SARS-CoV-2 infection and immunity in solid organ transplant recipients, showing enhanced viral abundance, impaired clearance, and increased expression of innate immunity genes.

Supercontinuum light sources offer broad spectral coverage for advanced photonics. Here, authors demonstrate programmable liquid core fibers with local temperature controlled dispersion and particle swarm optimization, enabling real time spectral shaping with enhanced power and flatness.

To better understand the response of Earth’s crust to earthquakes, it is valuable to mimic the geographic scale phenomena in laboratory scale experiment. Here, Bera et al. show that large bursts in ground acceleration of real earthquakes can be well reproduced in two soft, yield stress materials.

A statistical approach to designing and predicting the fusion yield of cryogenic deuterium–tritium implosions leads to tripled yield in direct-drive laser fusion of deuterium–tritium layered targets.

Membrane proteins have been implicated in cancers, but studying the downstream effects of their perturbation remains challenging. Here, the authors map the membrane protein-regulated network of 15 cancers, a resource for prognostic biomarker development and druggable target identification.

The soft-grainy microstructure of cooked egg yolk is the result of a series of out of equilibrium processes of its protein-lipid contents. Here, the authors develop a time-temperature phase diagram that shows the coupling of the nanoscale processes that result in the grainy-gel microstructure of cooked egg yolk.

The study advances the use of serological surveys to guide trachoma elimination program decisions and provides a way to set thresholds for whether or not to continue an intervention program.

Stochastic resetting is known to accelerate search processes and create nonequilibrium steady states. Here, authors introduce adaptive resetting, a state- and time-dependent framework enabling fast informed search strategies and designing complex nonequilibrium steady states.

Here, the authors explore spatially indirect excitons in van der Waals heterostructures and observe long-distance spin transport. The mechanism of protection against the spin relaxation is based on the suppression of scattering.

Several proteomic approaches allow the analysis of covalent protein SUMOylation, but it remains challenging to systematically study the consequences of a substrate being modified. Here, the authors combine proximity biotinylation and protein-fragment complementation to identify SUMO-dependent protein interactors.

The analysis of radial velocity variations of O-type stars in the Small Magellanic Cloud reveals a large fraction of close binaries, suggesting that binary physics also plays a prominent role in the low-metallicity environment of the distant Universe.

Electric-field tunable generation of entangled photon pairs is achieved by spontaneous parametric down-conversion in a ferroelectric nematic liquid crystal, with an efficiency comparable to that of the best nonlinear crystals.

The calorimetric determination of enthalpies of mixing in multi-component molten salt systems often relies on empirical models that lack physically interpretable parameters. Here, the authors use the molecular interaction volume model (MIVM) to integrate experimentally measured enthalpies and solvation structures from ab initio molecular dynamics simulations to extrapolate excess Gibbs energy and determine the compositional dependence of La³⁺ activity in the LaCl₃-(LiCl-KCl) system.

Scholars have long disagreed about how best to achieve stable national democracy. Ruck et al. show that democratization follows from an intergenerational build-up of democratic cultural values, without which democracy is liable to fail.

The presented Mean-Shift Super Resolution (MSSR) algorithm can extend spatial resolution within a single microscopy image. Its applicability extends across a wide range of experimental and instrumental configurations and it is compatible with other super-resolution microscopy approaches.

By combining modelling and simulated data with empirical data from 76 grassland sites across 6 continents, the authors show that the relative abundance of dominant species predicts species richness, while their absolute abundance predicts community biomass.

Images collected during NASA’s DART mission of the asteroid Didymos and its moon, Dimorphos, are used to explore the origin and evolution of the binary system. Authors analysis indicate that both asteroids are weak rubble piles and that Didymos’ surface should be about 40 to 130 times older than Dimorphos.

Nerve injury activates microglia to remove spinal synapses, disrupting spinal sensory processing and contributing to chronic pain. Blocking complement protein C1q preserves synapses, highlighting a potential therapeutic target for neuropathic pain.

Our cryo-optical microscopy rapidly freezes cells at an arbitrary timepoint during live imaging, enabling detailed observation of specific moments during dynamic events under cryogenic conditions.

There has been growing evidence that strategies to circumvent the barren plateau problem in variational quantum computing might also kill potential quantum advantages. In this Perspective, the authors gather this evidence, discuss what is still missing to provide a definitive answer, and provide new research directions.

Septins are the key component of the cytoskeleton. Here, the authors show that Septin5 is assembled in microtubule-plasma membrane contact sites and mediates insulin secretion in pancreatic islet β-cells through cortical microtubule remodeling.

Bayesian Flow Networks generate diverse, novel, and coherent protein sequences, surpassing prior unconditional generation methods. They also permit flexible conditional generation during inference, which is demonstrated on antibody inpainting tasks.

This study explores the relationship between telomere length and clonal hematopoiesis. Splicing factor and PPM1D gene mutations are more frequent in people with genetically predicted shorter telomere lengths, suggesting that these mutations protect against the consequences of telomere attrition.

Reliably probing rejuvenation and memory effects in spin glasses by means of simulations is difficult. Now, a state-of-the-art numerical study shows that at least three different length scales play a crucial role in aging dynamics of spin glasses.

The authors present a statistical and computational framework to identify allele-specific variants, i.e., single nucleotide variants exhibiting allele-specificity (allelic imbalance) in any type of omics assay. Application of this framework to thousands of datasets yields an atlas of chromatin altering variants in diverse cell types.

Molecular magnets may serve as engineerable spin qubit candidates for quantum information science; however, the magnetic fields often used for control can be challenging to confine. Now, it has been shown that well-designed mononuclear Mn(II) complexes demonstrate enhanced spin–electric coupling, providing guidance for electrically controllable molecular spin qubits.

A method integrates perturbation mapping with 10X Visium spatial transcriptomics to map tumour genetic complexity and heterogeneity.

Structural and biochemical analyses establish the catalytic mechanism of ZNF451, a new class of E3 ligases.

mBaoJin is a monomeric derivative of the bright and photostable green fluorescent protein StayGold. mBaoJin offers favorable photophysical properties for use in diverse protein tagging and subcellular labeling applications.

Curved cell shapes are common among bacteria, but the underlying morphogenetic mechanisms are incompletely understood. Here, the authors identify an outer-membrane protein complex that promotes cell curvature in Rhodospirillum rubrum by forming helical ribbon structures that modulate the dynamics of cell wall biosynthesis, biasing cell growth towards the cell’s outer curve.

Reducing rotational dephasing is a major challenge in ultracold molecules. Here, the authors demonstrate coherent control of three rotational states in ultracold molecules trapped in magic-wavelength optical tweezers, opening prospects towards quantum applications with higher-dimensional systems.

The detailed 3D organization of human centromere components is unknown. Here, the authors use super-resolution microscopy to present a working model for a common core centromere structure.

Previously shown as a 60-nm hole in the nuclear pore complex, the transport machinery by FG-nucleoporins is mapped.

Digital quantum simulations of Kitaev’s honeycomb model are realized for two-dimensional fermionic systems using a reconfigurable atom-array processor and used to study the Fermi–Hubbard model on a square lattice.