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Large-effect variants in autism remain elusive. Here, the authors use long-read sequencing to assemble phased genomes for 189 individuals, identifying pathogenic variants in TBL1XR1, MECP2, and SYNGAP1, plus nine candidate structural variants missed by short-read methods.

Identifying jets originating from heavy quarks plays a fundamental role in hadronic collider experiments. In this work, the ATLAS Collaboration describes and tests a transformer-based neural network architecture for jet flavour tagging based on low-level input and physics-inspired constraints.

Chen et al. report a tailored self-assembled monolayer to create a localized 2D/3D perovskite heterojunction. This strategy reduces interfacial loss, achieving photovoltages >90% of thermodynamic limit for wide-bandgap cells, and enables perovskite-organic tandem solar cells with efficiency of 27.11%.

This study finds that plastic mulch substantially increases crop yields but also contaminates soils and pollutes the environment. The authors propose biodegradable films, AI-driven farming, and policy reforms to address the productivity–sustainability trade-offs.

Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, is designed to be an expert-level closed-ended academic benchmark with broad subject coverage.

Wafer bonding has allowed the synthesis of twisted interfaces which support polar discontinuities in ferroelectric lithium niobate. Two-dimensional sheet conductivity arises but is suppressed when twist angles lead to interfacial lattice aperiodicity.

Genetic predictors of health outcomes often drop in accuracy when applied to people dissimilar to participants of large genetic studies. Here, the authors investigate the root causes and highlight open questions underlying this problem.

Engineered mucus-tethering bispecific nanobodies neutralize and entrap viruses to enhance mucosal immunity, preventing influenza infection and limiting SARS-CoV-2 transmission.

Global Burden of Disease estimates show that between 1990 and 2023, the prevalence and burden of drug use disorders, inclusive of amphetamine, cannabis, cocaine and opioid use, have been increasing in high-income countries, particularly in the USA.

The CMS Collaboration reports the measurement of the spin, parity, and charge conjugation properties of all-charm tetraquarks, exotic fleeting particles formed in proton–proton collisions at the Large Hadron Collider.

There is a lack of effective therapies for patients with non-V600E BRAF mutant cancer. Here, the authors report limited response in a phase II trial investigating the combination of binimetinib (MEK inhibitor) and encorafenib (BRAF inhibitor) for the treatment of non-V600E BRAF mutant cancer and subsequently investigate resistance mechanisms and combination therapeutic strategies in patient-derived models.

Estimates from the Global Burden of Disease study reveal declines in chronic respiratory disease mortality between 1990 and 2023—especially during the COVID-19 pandemic—but the burdens on people affected remain substantial.

This study uses single-nucleus RNA sequencing to analyze lung tissue from 141 individuals with chronic obstructive pulmonary disease. Distinct patterns of spatially resolved changes in cell composition and cell states that correlate with clinical features are highlighted.

Here, the authors identify distinct, autism-specific diet microbiome interactions, showing how unhealthy diets and synthetic emulsifiers drive dysbiosis. The findings pave the way for microbiome-aware dietary strategies for autism.

Detection of hot intracluster gas in SPT2349−56 with the Atacama Large Millimeter/submillimeter Array provides new insights into early cluster formation.

Fast panoramic rotational ultrasound tomography and photoacoustic tomography are integrated for hybrid rotational ultrasound and photoacoustic tomography, for three-dimensional dual-contrast imaging of soft tissue and vasculature across the human body.

While CDK4/6 inhibitors (CDK4/6i) are often initially successful in many breast cancer subtypes, often resistance develops and other subtypes like triple-negative breast cancer (TNBC) fail to respond. Here, the authors demonstrate that the CDK2 inhibitor BLU-222, alone or with CDK4/6i, restores cell-cycle control via p21/p27 induction overcoming resistance in preclinical models of breast cancer, including TNBC.

The ALICE Collaboration provides details on the microscopic mechanism that ends up creating antideuteron in high-energy proton–proton collisions at the Large Hadron Collider.

MMCLKin is a multimodal and multiscale contrastive learning framework for kinase-inhibitor affinity prediction, kinase inhibitor selectivity profiling, virtual screening for known, unknown, and mutated kinases, and interpretable analysis.

A soft robotic probe enables continuous in utero monitoring of fetal physiological parameters, including heart rate, blood oxygen saturation, temperature and electrocardiogram data, during open or fetoscopic surgery to provide real-time information on fetal condition and distress.

Researchers studied the blood-based metabolome of over 23,000 people from ten ethnically diverse cohorts. They identified 235 metabolites associated with future risk of type 2 diabetes (T2D). By integrating genetic and modifiable lifestyle factors, their findings provide insights into T2D mechanisms and could improve risk prediction and inform precision prevention.

Analysis combining multiple global tree databases reveals that whether a location is invaded by non-native tree species depends on anthropogenic factors, but the severity of the invasion depends on the native species diversity.

Micromitophagy is found to occur in plant male germline cells, mediated by ATG5–HSP90.2 signalling, and is evolutionarily conserved in angiosperms. This mechanism underpins paternal mitochondrial elimination and supports the zygote-to-embryo transition.

The authors present a federated learning framework for battery fault detection in electric vehicles using charging station data. It enables privacy-preserving collaboration among data owners, creating customized models that improve fault detection accuracy and generalization across diverse data distributions.

A membrane system operating without electricity and inspired by natural fractal transport patterns achieves exceptional nanofiltration performance, offering a simple and reliable source of potable water for decentralized communities.

Antibodies against SARS-CoV-2 continue to evolve 6 to 12 months after infection in patients who have recovered from COVID-19, increasing in potency and breadth with time.

Vassy, Dornisch and colleagues developed a genomics-based prostate cancer risk model to support a randomized clinical trial of precision screening in a national healthcare system.

Two-dimensional poly(arylene vinylene) frameworks are promising polymer semiconductors, yet obtaining highly crystalline materials is a major challenge. Now a series of 11 highly crystalline or single-crystalline 2D poly(arylene vinylene)s have been prepared—from 2D imine-linked covalent organic frameworks through a Mannich-elimination strategy—with diverse lattices, enhanced conjugation and specific surface areas up to 2,000 m² g⁻¹.

Here, the authors report an exome-wide association study for multi-organ imaging traits by leveraging recent bioinformatic tools such as AlphaMissense. The identified signals elucidate the genetic effects from rare variants on human organs and their connections to complex diseases

Can a minimal model reveal quasicrystal emergence and associated multi-level hierarchies of crystal patterns? Here, the theoretical discovery of the underlying energy ground states of Hertzian quasicrystal offers a new perspective on its formation.

Photonic time crystals (PTCs) have unveiled unusual band structures and phenomena due to temporal modulation of optical properties. Here, the authors address non-Hermitian features of PTCs within a purely Hermitian Hamiltonian description, bridging classical and quantum approaches.

Mapping of the neutrophil compartment using single-cell transcriptional data from multiple physiological and patological states reveals its organizational architecture and how cell state dynamics and trajectories vary during health, inflammation and cancer.

This study uses a multi-model intercomparison framework and a large-scale observational constraint based on a volcanic eruption and shows that climate models strongly underestimate how cloud cover responds to aerosols, leading to major uncertainties in climate projections.

The quark structure of the f₀(980) hadron is still unknown after 50 years of its discovery. Here, the CMS Collaboration reports a measurement of the elliptic flow of the f₀(980) state in proton-lead collisions at a nucleon-nucleon centre-of-mass energy of 8.16 TeV, providing strong evidence that the state is an ordinary meson.

Despite recent advances with trappedion-based platforms, achieving quantum networks with link efficiency greater than unity on metropolitan scales is still a challenge. Here, the authors demonstrate a multiplexed quantum network generating heralded entanglement at a rate faster than local decoherence.

Bioactivity-guided isolation of specialized metabolites is an iterative process. Here, the authors demonstrate a native metabolomics approach that allows for fast screening of complex metabolite extracts against a protein of interest and simultaneous structure annotation.

Spatial transcriptomics technologies are still too restrictive for widespread clinical use, and methods that have been designed to bridge them with histopathology carry important limitations. Here, the authors develop MISO, a deep learning framework that allows inferring tissue spatial organisation and gene expression with near single-cell resolution from histopathology images.

The study analyses data from NASA’s MMS mission to examine electromagnetic fluctuations in the electron diffusion region of Earth’s magnetotail offering insights into the link between reconnection and turbulence. It finds that electromagnetic anomalous viscosity supplies, at times, around 20% of the reconnection electric field.

The enzyme PCMT1 was found to install a C-terminal cyclic imide modification on proteins that marks them for degradation by CRBN, uncovering a conserved protein turnover pathway with implications in metabolism and neurological function.

Here the authors report NiGa₂O_4–x(OH)_y for light-driven CO₂ hydrogenation to methanol. The surface Lewis acid–base pairs and -OH groups act as conduits for H^- /H⁺ transport to active sites, enhancing photocatalytic methanol production.

SARS-CoV-2 continues to evolve, necessitating updated vaccines and therapeutics. Here the authors identify three broadly binding antibodies from vaccinated or infected individuals, characterize their conserved non-overlapping RBD epitopes by structural analysis and demonstrate protective effects in a hamster model.

Tokamak walls suffer erosion from steady and bursty heat loads. Here, the authors demonstrate that optimizing 3D magnetic field and cooling gas injection can tame destructive plasma bursts while enabling cooler, safer exhaust conditions.

Ramaglia and colleagues show that aberrant formation of B cell-rich lymphoid structures in the brain meninges is associated with high CXCL13:BAFF ratios. Inhibiting the kinase BTK reduces the lymphotoxin signaling needed to sustain such structures, lowers CXCL13:BAFF ratios and reduces cortical tissue injury.

Tree ectomycorrhizal colonization in aridity regions is supported by microbial cooperation, where bacteria attach to fungal hyphae and reduce inhibitory soil metabolites, suggesting a microbiome-based strategy for tree restoration.

An 11-qubit atom processor comprising two precision-placed nuclear spin registers of phosphorus in silicon is shown to achieve state-of-the-art Bell-state fidelities of up to 99.5%.

The study provides observational evidence of energy transfer in space plasmas, showing hydrogen and helium ions interact differently with ion-scale waves. Despite helium’s low abundance, they show their interaction can excite electrostatic waves, facilitating energy transfer across scales and challenging traditional models.

Quantum lock-in detection (QLID) is crucial for extracting oscillating signals from noise, while quantum entanglement is vital to surpass the standard of quantum limit in precision measurement. Here, the authors experimentally realise entanglement-enhanced QLID using two trapped ions, achieving frequency measurement precision at the Heisenberg limit and demonstrating an improved inverse-quadratic temporal scaling.

This study shows that oxygen-vacancy planar defects greatly enhance polarization in (Bi, Na)TiO₃-based thin films via local flexoelectric effects, enabling strong performance and thermal stability for low-power electronic applications.

This study shows that greenhouse warming is likely to increase interannual rainfall variability in the Sahel, increasing the risk of occurrence of extreme seasonal conditions in the region.