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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.

Data obtained from the MicroBooNE liquid-argon time projection chamber are used to exclude the single light sterile neutrino interpretation of the LSND and MiniBooNE anomalies at the 95% confidence level.

The influence of an animal’s running speed on grid cell spatial representation is unclear. Here, the authors present a Gaussian Process with Kernel Regression method to infer neural representational geometry from data and show that faster movement dilates grid cell representational manifolds, enhancing spatial representation.

Omnivores like bears can switch between plant and animal diets, potentially helping them respond to changing conditions. By combining modern and fossil data, this study shows that bears shift toward carnivory in harsher climates and toward herbivory in more productive environments.

u-Segment3D is a universal framework that translates and enhances 2D instance segmentations to a 3D consensus instance segmentation without training data. It performs well across diverse datasets, including cells with complex morphologies.

Genomic surveillance has been important for tracking the evolution and spread of SARS-CoV-2. Here, the authors analyse ~300,000 SARS-CoV-2 genomes from two years of sequencing in the Latin America and Caribbean regions and describe the emergence and spread of different lineages over time.

Extrachromosomal circular DNAs (ecDNAs) are prevalent in human cancers and are thought to drive tumor evolution and drug resistance by amplifying oncogenes. Here, authors develop ec3D to reconstruct three-dimensional ecDNA structures, revealing how their spatial organization rewires regulatory circuits.

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

Including data from 1,047 patients across 19 inflammatory diseases, a new atlas presents a comprehensive model of inflammation in circulating immune cells.

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.

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.

ALMA has captured exquisitely detailed images of bowshock shells in the outflow of an outbursting protostar. These provide important insights into the variable nature of the ejections from protostars, which play a key role in star and planet formation.

This study examines long-term changes in species richness across tropical forests in the Andes and Amazon. Hotter, drier and more seasonal forests in the eastern and southern Amazon are losing species, while Northern Andean forests are accumulating species, acting as a refuge for climate-displaced species.

Quantum simulations of the phase diagram of quantum chromodynamics faces hard challenges, such as having to prepare mixed states and enforcing the non-Abelian gauge symmetry constraints. Here, the authors show how to solve the two above problems in a trapped-ion device using motional ancillae and charge-singlet measurements.

MRI data from more than 100 studies have been aggregated to yield new insights about brain development and ageing, and create an interactive open resource for comparison of brain structures throughout the human lifespan, including those associated with neurological and psychiatric disorders.

Hund’s exchange interaction energy in two-dimensional materials is challenging to extract from experiments. Now, this is achieved in rhombohedral graphene, which allows an estimate of the interactions that drive the variety of correlated states in this material.

JWST’s COSMOS-Web survey is used to create an ultra-high-detail dark matter map, revealing hidden filaments, clusters and distant structures. By tracing features out to z = 2, this map shows how dark and luminous matter build the cosmic web across cosmic time.

DBiTplus represents an integrated experimental and computational workflow that unifies sequencing-based and imaging-based spatial omics, demonstrated by combining transcriptomic profiling and multiplexed protein imaging on the same tissue section.

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.

Instabilities in chiral plasmas can amplify electromagnetic waves, raising the question of whether chiral solids behave similarly. Now a magneto-chiral instability is demonstrated in tellurium, observed as growing terahertz emission after photoexcitation.

Gas-phase actinium monofluoride (AcF) has been produced and spectroscopically studied at the CERN-ISOLDE radioactive ion beam facility; the results highlight the potential of ²²⁷AcF for exceptionally sensitive searches of CP violation.

Passive, lossy materials with positive index at real frequencies can be used to realize optical antimatter under complex frequency excitation. Our approach enables arbitrary complex \(\epsilon ,\,\mu\) to be achieved.

The anterior cingulate cortex encodes affective pain behaviours modulated by opioids; targeting opioid-sensitive neurons through a new chemogenetic gene therapy replicates the analgesic effects of morphine, providing precise chronic pain relief without affecting sensory detection.

Brain-wide recordings in mice reveal that prior expectations are distributed through recurrent loops across all levels of cortical and subcortical processing.

The textile industry’s reliance on synthetic dyes is an important source of greenhouse gas emissions. Here the authors describe a process involving sustainable solvents that allows the extraction, purification, and reuse of dyes, as well as the recycling of dye-free fabrics.

Parity-time symmetry breaking and related non-Hermitian phenomena, such as high-order exceptional points, have attracted significant interest across various experimental platforms. Here the authors demonstrate a third-order exceptional point induced by parity-time symmetry breaking in a dissipative trapped ion.

Here, the authors reveal how twisting MoSe₂/WS₂ layers controls exciton behaviour. Combining theory and ultrafast spectroscopy, they show that lattice reconstruction creates distinct bright and long-lived excitons without hybridization effects.

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.

Hole spin semiconductor qubits suffer from charge noise, but now it has been demonstrated that placing them in an appropriately oriented magnetic field can suppress this noise and improve qubit performance.

Frustrated magnetic materials attract significant interest because their properties can become dominated by quantum fluctuations. Here the authors show that excitations in the plateau phase of a quantum magnet can be understood semiclassically even though the ground state involves strong quantum effects.

Cooling efficiency in thermoelectric devices decreases considerably at lower temperatures. Now thermoelectric cooling at cryogenic temperatures is directly imaged in a van der Waals semimetal.

Sustainable food production under climate change requires farming practices that support plant–soil–microbe interactions. This study suggests that conservation agriculture with warming enhances wheat nitrogen uptake by reducing microbial competition.

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.

The CMS Collaboration reports evidence for off-shell Higgs boson contributions in the production of Z boson pairs, and measures the width of the Higgs boson, which is inversely related to its lifetime.

Climate models depend on each other which makes meaningful comparisons difficult. Here, the authors apply a novel Bayesian method to test non-exclusive hypotheses to a set of climate models and show that the Arctic is likely to be ice-free at 2 to 2.5 °C of warming, with a sizeable risk even at lower rates.

Surface acoustic waves have previously been used, in conjunction with electric currents and assisting magnetic fields, to manipulate magnetization. Here, Rivelles, Yanes, and coauthors succeed in driving magnetic domain walls solely with surface acoustic waves, an important milestone in acoustically controlled spintronic devices.’

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%.

Sandia researchers used machine learning and autonomous experiments to discover new principles for controlling incoherent light emission from metasurfaces. Combining lens and grating elements steers emission more effectively than gratings alone—beyond conventional Fourier optics.

Wearable sensors typically require innovative methods of energy harvesting for low-power electronics. Here, the authors present an adaptive power management system with a trimodal energy harvesting approach.

The ATLAS Collaboration reports a measurement of the ratio of the decay rates of W bosons to τ leptons and muons, in agreement with universal lepton couplings as postulated in the standard model of particle physics.

Following amputation, the neural signals embedded in electromyography recordings from a high-density microelectrode array inserted in a reinnervated muscle can be functionally separated via a mathematical approach without surgically partitioning the distinct neural sources.

A foundation model trained on neural activity of visual cortex from multiple mice accurately predicts responses to video stimuli and cell types, dendritic features and connectivity within the MICrONS functional connectomics dataset.

Confocal microscopy enables high-resolution, high-plex 3D cyclic immunofluorescence of 30- to 50-µm-thick tissue sections. The approach allows for rich phenotypic assessments of intact cells and intercellular interactions with subcellular resolution.

Somatic mutations accumulate with age and have been linked to functional decline and disease. Single-cell analysis of human cartilage samples from donors with and without osteoarthritis shows that somatic mutations accumulate with age, but, in osteoarthritis, they show distinct mutational patterns and slower accumulation, possibly due to DNA-damage-induced chondrocyte death.

Edge localised modes (ELMs) in highly confined plasmas are notoriously difficult to regulate. Here, the authors analyse multiscale modes and interactions by combining experimental measurements from DIII-D and modeling, showing promising results in ELM control.

Kozai, Fernandez-Martinez et al. use high-speed atomic force microscopy to study the permeability barrier of yeast nuclear pore complexes. They show that karyopherins remodel a central plug that shapes barrier dynamics and disorder within the pore.