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Crop scientist whose high-yield hybrid rice fed billions.

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.

Using extended-gate capacitive coupling and diode connection, stretchable biosensors with a built-in differential circuit design can be created that can offer low signal distortion under bias stress instability, uniaxial strain, compression and temperature variations.

Traditional methods for tuning the dimensions of organic electronic device structures often rely on cumbersome processes with limited resolution. Here, the authors report ultraviolet irradiation in ambient conditions for tuning structural parameters for organic small molecule hole transport layers.

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.

This study introduces the Cattle Cell Atlas, a single-cell expression resource including 1,793,854 cells from 59 tissues. Integrative analyses leveraging this atlas provide insights into the biology underlying bovine monogenic and complex traits.

The Einstein Probe has discovered a fast X-ray transient, EP240414a, associated with a broad-lined type Ic supernova. Its unusually soft spectrum and weak jet add to the diversity of stellar deaths and suggest a previously unknown Wolf–Rayet star explosion mechanism.

Through the sonochemical exfoliation of grown black phosphorus crystals, high-quality, narrow and clean black phosphorus nanoribbons with smooth edges and defined edge chirality are achieved, enabling the realization of high-performance transistors and photodetectors.

While Bell inequalities have been violated several times—mostly in photonic systems—their violations within particle physics experiments are less explored. Here, the BESIII Collaboration showcases Bell-violating nonlocal correlations between entangled hyperon pairs.

The synthesis of atom-thin amorphous films remains challenging as their thermodynamically favourable grains are neither two dimensional nor layered. Here a droplet-driven nanoribbon-to-film growth strategy is reported to achieve amorphous metal chalcogenides at the single-layer limit.

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.

Authors use a high-entropy engineering approach to produce fully amorphous BiTO films by exfoliation and annealing, creating crystalline regions, leading to flexible ceramics with dielectric properties.

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

Finite momentum superconducting pairing refers to a class of unconventional superconducting states where Cooper pairs acquire a non-zero momentum. Here the authors report a new superconducting state in bulk 4Hb-TaS₂, where magnetic fields induce finite momentum pairing via magnetoelectric coupling.

The study of isotopes away from the beta stability valley is crucial for the understanding of nuclear structure, especially for neutron-deficient heavy nuclei. Here, the authors report the observation of the alpha-decay isotope 210-protactinium (Pa), extending the alpha-decay systematics of underexplored regions of the nuclides chart.

The semileptonic decay channels of the Λc baryon can give important insights into weak interaction, but decay into a neutron, positron and electron neutrino has not been reported so far, due to difficulties in the final products’ identification. Here, the BESIII Collaboration reports its observation in e+e- collision data, exploiting machine-learning-based identification techniques.

The LHCb experiment at CERN has observed significant asymmetries between the decay rates of the beauty baryon and its CP-conjugated antibaryon, thus demonstrating CP violation in baryon decays.

The death of massive stars has traditionally been discovered by explosive events in the gamma-ray band. Liu et al. show that the sensitive wide-field monitor on board Einstein Probe can reveal a weak soft-X-ray signal much earlier than gamma rays.

Investigating the inner structure of baryons is important to further our understanding of the strong interaction. Here, the BESIII Collaboration extracts the absolute value of the ratio of the electric to magnetic form factors and its relative phase for e + e − → J/ψ → ΛΣ decays, enhancing the signal thanks to the vacuum polarisation effect at the J/ψ peak.

The instability of quantum dot inks hinders the scaling up of colloidal quantum dot electronics. Now, Shi and team stabilize the inks with an iodine-rich environment in a weakly coordinating solvent, achieving 13.4% in small-area solar cells and over 10% in modules.

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.

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.

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.

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.

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.

The interfaces between ferromagnets and superconductors receive many attentions due to emergent relativistic spin-orbit coupling. Here, the authors provide possible evidence for spin triplet Andreev reflection at the interface between a van der Waals ferromagnet Fe_0.29TaS₂ and a s-wave superconductor NbN.

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.

Multiple resonance (MR) emitters with narrowband luminescence typically suffer from inadequate frontier molecular orbital levels. Here, authors incorporate cyano motifs at peripheral sites of the MR backbone to adjust the energy levels, realizing device efficiency of over 23% for stable devices.

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.

Lilies are perennial plants with ornamental flowers and large genomes. The authors assemble genomes of two Liliales species, analyze lily phylogeny, flower and stem development (bulbs in lilies, rhizomes in flame lilies), bulb growth transitions, and colchicine biosynthesis.

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.

Quantum teleportation has found important applications in quantum technologies, but pushing it to macroscopic objects is challenging because of the fragility of quantum states. Here, the authors demonstrate teleportation of states from light beams to the vibrational states of a macroscopic diamond sample.

Multiferroic BiFeO₃ is promising for applications where electric and magnetic fields need to be coupled, for example, in magnetic data storage. Here, combining theory and experiment the authors provide a microscopic insight into the switching of magnetization by electric fields in BiFeO₃.

In two cohorts of patients with glioblastoma who received anti-PD-1, Sonabend and colleagues show that ERK1/2 phosphorylation, detected by immunohistochemistry, provides a biomarker for MAPK/ERK pathway activity and better survival on this therapy.

Analysis of mitochondrial genomes (mtDNA) by using whole-genome sequencing data from 2,658 cancer samples across 38 cancer types identifies hypermutated mtDNA cases, frequent somatic nuclear transfer of mtDNA and high variability of mtDNA copy number in many cancers.

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.

In somatic cells the mechanisms maintaining the chromosome ends are normally inactivated; however, cancer cells can re-activate these pathways to support continuous growth. Here, the authors characterize the telomeric landscapes across tumour types and identify genomic alterations associated with different telomere maintenance mechanisms.

The characterization of 4,645 whole-genome and 19,184 exome sequences, covering most types of cancer, identifies 81 single-base substitution, doublet-base substitution and small-insertion-and-deletion mutational signatures, providing a systematic overview of the mutational processes that contribute to cancer development.

Entanglement was observed in top–antitop quark events by the ATLAS experiment produced at the Large Hadron Collider at CERN using a proton–proton collision dataset with a centre-of-mass energy of √s  = 13 TeV and an integrated luminosity of 140 fb⁻¹.

Spin injection in pure topological surface states of topological insulators is challenging due to the coexistence of highly conducting bulk states. Here, Song et al. report spin injection and inverse Edelstein effect in the spin–momentum locked surface states of topological Kondo insulator SmB₆.

The development of practical photonic quantum technologies will be aided by the spatial control of entangled photons. Lenget al. achieve on-chip spatial control of entangled photons by using domain engineering, rather than by using external optical elements.

In situ mechanical testing and simulations unveil a reversible shuffle twinning mechanism enabled by bond switching, which gives rise to anisotropic tensile superelasticity in GeSe ceramics.

The clinical significance of inferring cell spatial profiles from histology images from cancer patients remains to be explored. Here, the authors develop a weakly-supervised deep-learning method, HistoCell, for the direct prediction of super-resolution cell spatial profiles from histology images at the single-nucleus-level.