Ising machines offer promising solutions for large-scale optimization problems. Iftakher et al. report a hybrid platform combining memristors with stochastic magnetic tunnel junctions to solve the Ising model by integrating multi-level spin couplings, stochastic spin behavior, and voltage-controlled annealing.

The authors demonstrate that an autoencoder-based neuromorphic architecture combined with Fowler-Nordheim annealing, is sufficient to implement scalable higher-order Ising machines. They show that these machines can consistently produce state-of-the-art solutions with high reliability and competitive time-to-solution metrics.

Small-footprint, low power, and reprogrammable arrays of coupled coherent emitters are highly sought in all-optical neural networks and simulators. Here, authors demonstrate electrically controlled in-plane coupling between optically reconfigurable lasing states in weakly-coupled microcavities.

Low temperatures trigger phase changes and slow kinetic process in zinc–bromine flow batteries. Here, the authors show NH₄⁺ as the supporting cation stabilizes the electrolyte and improves ion transport, enabling long-life cycling from room temperature down to −20 °C.

Active nematics are characterized by the presence of topological defects that can significantly influence energy dynamics within the system. This study demonstrates that energy transfer from long to short length scales occurs during defect chaos and identifies a new regime, termed bend wall chaos, where energy is transferred from short to long length scales.

This study shows that despite widespread atmospheric moistening under global warming, the Western U.S. has experienced a persistent multidecadal drying trend over the past four decades, sustained by atmospheric subsidence and reduced regional moisture recycling triggered by tropical eastern Pacific cooling.

Deformation experiments on olivine at mantle transition zone pressures (~20 GPa) demonstrate temperature-dependent transformation–deformation coupling that explains both deep-focus earthquakes and deep slab weakening.

Dew is a common yet often overlooked water input in terrestrial ecosystems, and its ecological effects remain understudied. Based on eddy covariance data across the U.S., this study suggests that dew formation is associated with higher ecosystem productivity.

This study explores the EU’s 2040 climate target. Analysis of over 300 scenarios shows that an 80–93% emissions cut by 2040 (central estimate 86%) is cost efficient, requiring rapid wind and solar expansion, electrification, and limited carbon capture.

Ozone-depleting substances (ODS) are banned from emissive uses. However, they are still allowed to be used as feedstocks and ODS emissions from this source have been higher than assumed. This could delay the recovery of the stratospheric ozone layer.

While cheese is enjoyed globally, most of the known physiochemical and microbial characteristics are from western cheeses. Here, the authors expand the global catalogue of cheeses by investigating 235 Chinese samples and compiling over 3000 metagenomic datasets.

Analyzing spatial patterns and regulatory mechanisms in spatial multi-omics data remains challenging. Here, the authors present SpatialCOC, a deep learning framework that deciphers cellular spatial organization and cross-omics relationship.

This study elucidates the regulatory function of the PcabHLH58/PcabHLH151- PcaSCL33/PcaPLT1-WOX5 module in poplar adventitious root development and nitrogen uptake, while PcaPAR1 forms a feedback regulatory loop with PcabHLH58/PcabHLH151.

CRISPR-Cas9-based genome editing is powerful but limited by target range, specificity, and delivery constraints. Here, authors engineer a compact SaCas9 that recognizes NNG PAMs for efficient genome and base editing in cells and mice, and reveal its activation mechanism via cryo-EM structural analysis.

Using multimodal spinal cord and brain imaging, this study reveals pronounced age-related changes in the spinal somatosensory pathway and shared central nervous system aging mechanisms, including gray matter loss and decreased functional segregation.

Risk profiling based on how BMI interacts with cardiovascular markers was useful in the general population. In type 1 diabetes— where cardiovascular risk is already high— these profiles are notably valuable for tailored approaches as they reveal how high glucose may hide other risk factors

Ocular rosacea is a chronic inflammatory eye with limited treatment options. Here, the authors show that overactivation of the mineralocorticoid receptor pathway is a key driver of this condition, suggesting that blocking this pathway could be a promising treatment strategy.

Early postoperative recurrence is a major cause of treatment failure in patients with locally advanced gastric cancer (LAGC). Here, the authors develop Recurrence Stratification and Assessment (RSA), a deep learning model that integrates histopathology with clinical variables to predict postoperative recurrence in LAGC; they also examine the influence of immunological activity in recurrence.

Measures of persistent organic pollutant concentrations in human pancreas remain limited; additionally, no studies have correlated pollutant concentrations with direct measures of beta cell function in humans. Here the authors show that lipophilic pollutants—including dioxins/furans, polychlorinated biphenyls, and organochlorine pesticides— accumulate in human pancreas and positively correlate with markers of beta cell dysfunction.

This study explored ATP synthase as a target for PET imaging of activated and nonactivated adipose tissue using the radiotracer [¹¹C]J147, providing a potential tool to support drug development for metabolic diseases such as obesity.

This study explores the EU’s 2040 climate target. Analysis of over 300 scenarios shows that an 80–93% emissions cut by 2040 (central estimate 86%) is cost efficient, requiring rapid wind and solar expansion, electrification, and limited carbon capture.

This work introduces HANNA, a strictly consistent machine learning model for predicting phase equilibria and other thermodynamic properties of multi-component mixtures only from the molecular structure.

Analysing data from nine African countries, the authors find a positive association between exposure to past long-term political violence and adolescents and young adults experiencing emotional violence from family members and physical violence from intimate partners.

This paper analyzes high-resolution satellite data between 2018 and 2023, finding that Europe is losing nature and cropland to artificial land expansion at nearly twice the rate previously estimated.

Streptococcus pyogenes is a human pathogen responsible for a range of diseases. Here, the authors reconstruct an ancient S. pyogenes genome from a pre-Columbian Bolivian mummy, supporting that the pathogen circulated in the Americas prior to the European contact.