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Fracto-mechanoluminescence is the emission of light from fracturing solids. Here, the authors show that this emission in Mn halides arises from elastic stiffness, electromechanical coupling, and trap states that activate Mn²⁺ d−d transitions.

Short-circuiting during fast charging through lithium dendrite intrusion into electrolytes is a major challenge in solid-state batteries. Here, using thermally annealed 3-nm-thick Ag coatings, lithium penetration into brittle electrolyte Li_6.6La₃Zr_1.6Ta_0.4O₁₂ is inhibited at local current densities of 250 mA cm⁻² due to an increase in surface fracture toughness.

MnBi₂Te₄ has an appealing combination of topological bands and magnetic ordering. While chemical doping with Sb can be used to tune these properties, it typically comes with an increase in defect density. Here, Chen, Wang, Li, Duan, and coauthors demonstrate a defect engineering approach that preserves the topological and magnetic properties of Mn(Bi_1-xSb_x)₂Te₄.

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.

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.

A device for rectifying supercurrents at liquid-nitrogen temperature with high efficiency is demonstrated. This is a practical step towards implementing dissipationless electronics.

Solar water splitting is often performed in highly corrosive conditions, presenting materials stability challenges. Gu et al. show that an efficient and stable hydrogen-producing photocathode can be realized through the application of a graded catalytic–protective layer on top of the photoabsorber.

EMO integrates DNA sequence and chromatin accessibility data to predict how noncoding variants regulate gene expression across tissues and single cells, enabling context-aware personalized insights into genetic effects for precision medicine.

A new artificial intelligence model, DeepSeek-R1, is introduced, demonstrating that the reasoning abilities of large language models can be incentivized through pure reinforcement learning, removing the need for human-annotated demonstrations.

Ferromagnetic systems produced by the transition metal doping of semiconductors may be used as components of spintronic devices. Here, a new ferromagnet, Li_1+y(Zn_1-xMn_x)As, is prepared in bulk quantities and shown to have a critical temperature approaching 50 K.

Human RNA binding protein Musashi-1 binds various host transcripts as well as Zika virus RNA in neural progenitor cells. Here, Chen et al. characterise the interactions between Musashi-1 and its binding site using a combination of molecular and biophysical methods to shed light on its role in viral neurotropism.

A study of several longitudinal birth cohorts and cross-sectional cohorts finds only moderate overlap in genetic variants between autism that is diagnosed earlier and that diagnosed later, so they may represent aetiologically different conditions.

Closely-spaced anisotropically-engineered single-domain nanomagnets may be exploited to encode and transmit binary information. Here, Gu et al. use time-resolved X-ray microscopy to image signal propagation at the intrinsic nanomagnetic switching limit in permalloy nanomagnet chains.

Experimental measurements of high-order out-of-time-order correlators on a superconducting quantum processor show that these correlators remain highly sensitive to the quantum many-body dynamics in quantum computers at long timescales.

Thermal lepton pairs are ideal probes for the temperature of quark-gluon plasma. Here, the STAR Collaboration uses thermal electron-positron pair production to measure quark-gluon plasma average temperature at different stages of the evolution.

The understanding of charge density wave (CDW) correlations in cuprate superconductors remains hampered due to the lack of scattering phase information. Here, Chen et al. discover a reproducible CDW domain memory effect upon repeated cycling to temperatures well above the CDW ordering temperature.

Cell type labelling in single-cell datasets remains a major bottleneck. Here, the authors present AnnDictionary, an open-source toolkit that enables atlas-scale analysis and provides the first benchmark of LLMs for de novo cell type annotation from marker genes, showing high accuracy at low cost.

The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

Sparse labelling and whole-brain imaging are used to reconstruct and classify brain-wide complete morphologies of 1,741 individual neurons in the mouse brain, revealing a dependence on both brain region and transcriptomic profile.

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.

Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.

In topological insulators, studies have largely concentrated on the spin part of the wavefunction. But the spin–orbit coupling is strong, so the orbital components of the wavefunction need to be measured as well. Surprisingly, the orbital wavefunction turns out to be asymmetric about the Dirac point.

Integrative analyses of transcriptome and whole-genome sequencing data for 1,188 tumours across 27 types of cancer are used to provide a comprehensive catalogue of RNA-level alterations in cancer.

The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 cancer whole genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

Surface-sensitive scanning tunneling microscopy (STM) has previously found a charge density wave (CDW) up to 10 K in the normal state of the heavy-fermion superconductor UTe₂. Here, using resonant elastic X-ray scattering (REXS) above the superconducting transition, the authors find no evidence for a bulk CDW, suggesting the normal state CDW observed by STM is a surface effect.

A magnetic-spectrometer-free method for electron–proton scattering data reveals a proton charge radius 2.7 standard deviations smaller than the currently accepted value from electron–proton scattering, yet consistent with other recent experiments.

With the generation of large pan-cancer whole-exome and whole-genome sequencing projects, a question remains about how comparable these datasets are. Here, using The Cancer Genome Atlas samples analysed as part of the Pan-Cancer Analysis of Whole Genomes project, the authors explore the concordance of mutations called by whole exome sequencing and whole genome sequencing techniques.

Whole-genome sequencing data for 2,778 cancer samples from 2,658 unique donors across 38 cancer types is used to reconstruct the evolutionary history of cancer, revealing that driver mutations can precede diagnosis by several years to decades.

African ancestry is a known risk factor for prostate cancer development, but the genetic determinants of this are incompletely understood. Here, the authors identify 172 potentially pathogenic variants which are enriched in an African population.

Analyses of 2,658 whole genomes across 38 types of cancer identify the contribution of non-coding point mutations and structural variants to driving cancer.

Heteroepitaxy is used to precisely control the growth of Mn₃O₄ shells on the faces of a Co₃O₄ nanocube crystal, producing uniform grain boundary defects and highly ordered multigrain nanostructures.

Drop impact on a liquid surface leads to the formation of vortex rings, but this process is still poorly understood due to the lack of effective experimental characterization. Here, Leeet al. visualize the process using ultrafast X-ray phase-contrast imaging and follow the dynamics of vortex rings.

Whole-genome sequencing data from more than 2,500 cancers of 38 tumour types reveal 16 signatures that can be used to classify somatic structural variants, highlighting the diversity of genomic rearrangements in cancer.

An analysis of 2,954 genomes from 38 cancer subtypes identified 19,166 retrotransposition events in 35% of samples. Aberrant LINE-1 retrotranspositions can lead to the deletion of tumor-suppressor genes as well as the amplification of oncogenes.

Although LaAlO₃ and SrTiO₃ are both insulators, when they are brought together at a (100) interface, a highly conducting two-dimensional electron gas forms between them. Annandi et al.show that this also happens at a (110) interface, counter to expectations that it should not.

Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.

Multiple molecular profiling methods are required to study urothelial non-muscle-invasive bladder cancer (NMIBC) due to its heterogeneity. Here the authors integrate multi-omics data of 834 NMIBC patients, identifying a molecular subgroup associated with multiple alterations and worse outcomes.

The authors realize low-pressure-driven polarization switching in PbTiO₃ membranes by leveraging their structural tunability and substrate elasticity, enabling ferroelectric field-effect transistors on silicon, operatable mechanically and electrically.

Understanding deregulation of biological pathways in cancer can provide insight into disease etiology and potential therapies. Here, as part of the PanCancer Analysis of Whole Genomes (PCAWG) consortium, the authors present pathway and network analysis of 2583 whole cancer genomes from 27 tumour types.

There’s an emerging body of evidence to show how biological sex impacts cancer incidence, treatment and underlying biology. Here, using a large pan-cancer dataset, the authors further highlight how sex differences shape the cancer genome.

A pan-cancer genomic analysis reports the effects of structural variations on chromatin domains (TADs). Most TAD disruptions do not result in appreciable changes in expression of nearby genes.

Many tumours exhibit hypoxia (low oxygen) and hypoxic tumours often respond poorly to therapy. Here, the authors quantify hypoxia in 1188 tumours from 27 cancer types, showing elevated hypoxia links to increased mutational load, directing evolutionary trajectories.

When the length of a light pulse approaches that of just a few wavelengths, the difference in the phase of its field relative to its overall shape, or envelope becomes important in how the pulse interacts with matter. Accurate measurements of this carrier-envelope phase previously required averaging over many separate pulses. Now it can be measured in one shot.

Tonic and burst-like locus coeruleus firing distinctly tune brain topology toward associative and sensory regions, recruiting both astrocytic and neuronal inhibitory activity.

Multi-omics datasets pose major challenges to data interpretation and hypothesis generation owing to their high-dimensional molecular profiles. Here, the authors develop ActivePathways method, which uses data fusion techniques for integrative pathway analysis of multi-omics data and candidate gene discovery.