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Visualisation methods such as t-SNE and UMAP are widely used in research, yet they often lead to misinterpretations due to distortion. The authors introduce a statistical framework to detect intrinsic map discontinuities and improve the reliability of interpretations.

Neural spiking activity is inherently dynamic and out of equilibrium, yet tools to quantify its time-varying organization are limited. Here, the authors develop a state-space kinetic Ising model to track nonequilibrium entropy flow in neural populations, revealing task-dependent dissipation in the mouse visual cortex.

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.

Characterization of clinical isolates of the cryptic fungal pathogen Aspergillus latus revealed traits that distinguish it from other species. Steenwyck et al show that A. latus originated via allodiploid hybridization with both parental subgenomes actively expressed.

Manipulating chemical reactions using laser pulses to control electron transfer is an attractive goal, however much of the underlying physics remains unexplored. Here the authors analyse and explain the intramolecular electronic transfer occurring during charge-separation in acetylene, a model donor-bridge-acceptor molecule.

In this work, researchers address a key question for maternal group B Streptococcus (GBS) vaccine assessment: What newborn antibody concentrations protect against invasive infant GBS disease? They present serologic thresholds by age at onset and serotype based on a large U.S. case-control study.

The synthesis of atomically precise gold nanoclusters is highly desired for fundamental studies and applications. Here, the authors report the formation of a superfluorinated gold nanocluster stabilized by a multi-branched highly fluorinated thiol ligand, and characterize its crystal structure and molecule-like spectroscopic properties.

Heat capacity of nanoporous materials is important for processes such as carbon capture, as this can affect process design energy requirements. Here, a machine learning approach for heat capacity prediction, trained on density functional theory simulations, is presented and experimentally verified.

Alkaline-earth phenoxides show promise as optical cycling centres; however, their properties when connected to larger structures is unclear. Now it has been shown that their optical cycling remains efficient despite increasing molecular complexity, enabling the scaling of laser-coolable molecules toward larger structures and surface-bound quantum systems.

Wittmann and colleagues show that not only single outcome events but also the global reward state (GRS) impact learning in macaques; low GRS drives explorative choices. Analyses of macaque BOLD signal reveals that GRS impacts activity in the anterior insula as well as the dorsal raphe nucleus.

Using multi-ancestry genome-wide association study and fine-mapping, 298 loci and 36 credible genes are identified in the aetiology of bipolar disorder.

Dense calcium imaging combined with co-registered high-resolution electron microscopy reconstruction of the brain of the same mouse provide a functional connectomics map of tens of thousands of neurons of a region of the primary cortex and higher visual areas.

Healthy volunteers and patients with obsessive-compulsive disorder learning a task from experience alone tend to repeat actions that lead to rewards. They are poor at learning predictive models, but their use of these models is strongly increased when explicit information is provided.

Despite the significance of mosquitos for human health, little research has focused on their phylogeny. Here, the authors present a resolved phylogenetic history of mosquitoes based on phylogenomics showing that these major disease vectors radiated coincidentally with geologic events and the diversification of their hosts.

It is known that the T cell co-receptor CD4 greatly enhances the capacity of T cell receptor (TCR) signalling, triggered by the peptide-bound MHC molecule. Here authors show that the mechanistic basis for the enhancement is the co-operative binding of TCR and CD4 to the MHC-peptide complex.

A strategy for protecting redox-active ortho-quinones, which show promise as anticancer agents but suffer from redox-cycling behaviour and systemic toxicity, has been developed. The ortho-quinones are derivatized to redox-inactive para-aminobenzyl ketols. Upon amine deprotection, an acid-promoted, self-immolative C–C bond-cleaving 1,6-elimination releases the redox-active hydroquinone. The strategy also enables conjugation to a carrier for targeted delivery of ortho-quinone species.

Among the first-row p-block elements that can form neutral triple-bonded species (boron, carbon, nitrogen and oxygen), all combinations have been realized except that of boron and carbon. Here the synthesis of a neutral, uncoordinated boryne is described, closing the remaining gap in neutral first-row p-block compounds with triple bonds.

This Perspective describes the development and capabilities of SciPy 1.0, an open source scientific computing library for the Python programming language.

The determination of Jupiter’s odd gravitational harmonics by the Juno spacecraft reveals that the observed jet streams extend to about three thousand kilometres below the cloud tops.

High-mobility graphene can play host to exciton polaritons—hybrid matter–light particles, which can form into a state known as a quantum Hall polariton fluid. Here, the authors show that electron–electron interactions can act to destabilize this state and lead to the formation of a modulated phase.

This study introduces an extensible framework—Morpho—for shape optimization, enabling researchers to predict the structure of soft materials, such as complex fluids, gels, particulate and biological materials.

Quantifying the effects of individual loci on the human phenome is a challenging task. Here, the authors introduce a modelling technique, TGCA, that assesses total genetic contribution per locus and apply this to UK Biobank phenotype domains, revealing top loci and links to tissue-specific gene expression.

The diverse Heliconius butterflies have evolved key innovations, including pollen feeding, and are a quintessential example of adaptive radiation. Using comparative genomics, Cicconardi et al. identify targets of selection at coding and non-coding loci during major ecological transitions in Heliconius.

A lack of non-destructive measurements and difficulty in tuning direct coupling between motional modes limits quantum information processing with trapped ions. Both features have now been achieved in an ion crystal using oscillating electric fields.

The reactivity of a monooxygenase (P450 PikC) has been modified through protein and substrate engineering, and applied to the oxidation of unactivated methylene C–H bonds. The protein engineering was guided by using molecular dynamics and quantum mechanical calculations to develop a predictive model for substrate scope, site selectivity and stereoselectivity of the C–H hydroxylation.

Osimertinib and dacomitinib are approved as first-line treatment of EGFR-mutant NSCLC but resistance can arise. Here, the authors use a computational model to identify an optimal dosing schedule for osimertinib and dacomitinib combination therapy that was confirmed tolerable and effective in an ongoing phase I clinical trial.

Enhancing the kinetics and selectivity of CO₂/CO electroreduction towards valuable multi-carbon products poses a scientific challenge and is imperative for practical applicability. Here the authors report that modifying copper catalysts with surface thiol ligands significantly improves acetate selectivity.

Octopus and squid use cephalopod-specific chemotactile receptors to sense their respective marine environments, but structural adaptations in these receptors support the sensation of specific molecules suited to distinct physiological roles.

Single atom catalysts (SACs) are promising in electrocatalysis but challenging to characterize. Here, the authors apply a recently developed quantum mechanical grand canonical potential kinetics method to predict reaction mechanisms and rates for CO₂ reduction at different sites of graphene-supported Ni-SACs.

Cyprinids fish species contain multiple subgenomes as a result of past duplications. Here, Xu et al. report new genomes of 21 cyprinid fish and conclude that observed subgenome dominance patterns are likely due to both maternal dominance and transposable element densities in each polyploid.

Adriaenssens et al. show that unlike soluble cargo receptors, transmembrane cargo receptors initiate autophagosome biogenesis by recruiting the FIP200/ULK1 or WIPI–ATG13 complex, revealing unexpected flexibility in the selective autophagy machinery.

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.

Po-Ru Loh, Alkes Price and colleagues developed a fast algorithm for multicomponent, multi-trait variance-components analysis and use it to analyze the genetic architectures of schizophrenia and nine complex diseases from the PGC and GERA cohorts. Their analyses support a largely polygenic architecture for schizophrenia and significant genetic correlations for several pairs of GERA diseases.

Carbon dioxide is a desired feedstock for platform molecules, such as carbon monoxide and higher hydrocarbons, but needs improved catalysts. Here, the authors use a combined theoretical and experimental approach to tune the activity and selectivity of CO₂ conversion over nickel towards desired products.

Direct infrared nano-imaging of plasmonic waves in graphene carrying high current density reveals the Fizeau drag of plasmon polaritons by fast-moving quasi-relativistic electrons.

An optimized pipeline for functional ultrasound localization microscopy is safely and non-invasively applied to detect and characterize early microvascular alterations with high spatial and temporal resolutions in mouse.

Cervix and breast carcinomas are highly heterogeneous in their mechanical properties across scales. This heterogeneity provides the tumour with stability and room for cell motility.

Disruption of cerebellar activity impairs working memory during evidence accumulation in mice. Here, the authors show that optogenetic perturbation of Purkinje cell activity disrupts the accurate accumulation of somatosensory information in working memory during perceptual decision-making.

Platinum nanoparticles have been neglected as a catalyst for acetylene hydrochlorination due to their limited activity. Here, the authors show that nanostructuring to the single-atom level renders platinum on carbonaceous supports a superior catalyst for this important industrial process.

Recent work has demonstrated controlled fabrication of single carbon defect spins in the two-dimensional material WS₂. Here, the authors use ab initio methods to determine the electronic and optical properties of this defect, establishing it as a viable qubit candidate operating close to the telecom band.

Ordinary differential equation (ODE) models are widely used to understand multiple processes. Here the authors show how the concept of mini-batch optimization can be transferred from the field of Deep Learning to ODE modelling.