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An AI-powered spatiotemporal imputation and prediction model (STIMP) is designed to predict Chlorophyll-a distributions in coastal oceans. STIMP reduces imputation mean absolute error and improves predictability compared to traditional and current leading AI methods.

Boosting conversion efficiency, coherence and spectral bandwidth of optical signals generated in integrated photonic devices is an important current challenge. Here, the authors present their observations of two-colour dissipative solitons, breathers and frequency combs resulting from second-harmonic generation in lithium-niobate ring microresonators.

Here, the authors show that Msx2 deficiency prevents osteoclast fusion and enhances type H vessel- mediated osteogenesis. Mechanically, MSX2 protects PU.1 from FBXW7 mediated degradation and targeting Msx2 serves as an anabolic therapy in pre-clinical models of osteoporosis.

Digital proxies of human mobility can be used to monitor social distancing, and therefore have potential to infer COVID-19 dynamics. Here, the authors integrate travel card data from Hong Kong into a transmission model and show that it can be used to track transmissibility in near real-time.

In this study, the authors report that a bat influenza A (H9N2) virus shows receptor binding features similar to avian influenza viruses, efficiently infects ex-vivo human respiratory cells and replicates in the lungs of mice and upper respiratory tract of ferrets following airborne transmission.

Wu et al. developed a technique for longitudinal imaging with subcellular resolution of the spinal cord without causing inflammation or microglia activation in live mouse through an optically cleared intervertebral window.

Cement-based materials hold great potential for CO₂ sequestration. Here the authors provide atomistic insights into the impact of calcium silicate hydrates’ interfacial interactions on the optimal CO₂ adsorption capacity.

The role of interspecific interactions in biodiversity–ecosystem stability relationships is unclear. Here the authors develop a theoretical approach and show that empirical diversity–stability relationships in grasslands are best explained by species-specific dynamics rather than by interspecific interactions.

With nature in cities, as with the chemicals we ingest, the dose can make the difference. This analysis looks across other studies to find that, in practice, a moderate ‘dose’ of urban greenness provides the greatest mental health benefits.

Here the authors reveal that the prostate cancer risk variant rs4519489 enhances binding of the oncogenic transcription factor USF1, upregulating NOL10. Elevated NOL10 promotes tumor progression, highlighting the rs4519489–USF1–NOL10 axis as a potential biomarker and therapeutic target.

Understanding how global changes affect both aboveground plants and belowground soil organisms is essential for preserving ecosystem functions and biodiversity. This study synthesizes extensive data, revealing decoupled responses in plant and soil biota to global changes across different biomes.

Fine-scale geospatial mapping of overweight and wasting (two components of the double burden of malnutrition) in 105 LMICs shows that overweight has increased from 5.2% in 2000 to 6.0% in children under 5 in 2017. Although overall wasting decreased over the same period, most countries are not on track to meet the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025.

Preventing freezing droplet accretion on surfaces is practically important, yet challenging. Leveraging the water volume expansion during the freezing process, a structured elastic surface with spring-like pillars and wetting contrast is reported, which renders the spontaneous ejection of freezing water droplets, regardless of their impacting locations.

Non-Abelian statistics plays a crucial role towards realizing topological quantum computation. Here, the authors discover new types of non-Abelian three-loop braiding statistics that can only be realized in 3D interacting fermionic systems.

In-sensor computing offers a promising solution for image processing with reduced data transfer. Here, the authors report programmable and multifunctional van der Waals optoelectronic sensors, showing their application for snapshot compression and recognition of dynamic videos and 3D spectral data.

The observation of nanocrystal crystallisation has long been a fundamental goal in nanoscience and remains a challenge due to the lack of spatiotemporal characterisation techniques. Here authors monitor the crystallisation of perovskite nanocrystals in polymer matrix at single-particle level using super-resolution florescence microscopy.

Developing tactile sensors that can interact with the environment and withstand mechanical stress is challenging. Here, the authors introduce a flexible tactile sensor inspired by insect antennae, enhancing robotic manipulation, navigation, and environmental recognition.

Ferrofluids with their extreme deformability are being used as soft machines. Using ferrofluids, Sun et al. show a variety of soft machines by playing with the wetting properties of solid surfaces

This study reports a metamaterial with a pure Tellegen response several orders of magnitude greater than intrinsic magnetoelectric materials, significantly expanding the functionalities of metamaterials for exploring new physics and applications.

A new tool based on generative machine learning called FlowER uses flow matching to model reactions as the redistribution of electrons between reactants and products, enabling the enforcement of mass conservation in reaction prediction.

China’s housing vacancy rate is estimated to have exceeded 30% since 2021. New research shows that targeted vacancy reduction, renovation, and demolition limits could cut China’s urban housing construction emissions by over 43% by 2060, aiding efforts toward meeting carbon neutrality goals.

While photoelectrochemical water splitting produces fuel from solar energy, a large fraction of photoanode photoexcited charge carriers cannot be extracted efficiently at low bias voltages. Here, authors improve the charge transport in P-doped BiVO₄ by mediating polaron hopping and trap states.

In this work, authors demonstrate a self-sufficient fog harvester system that simultaneously produces nitrogen-based nutrients for fertilizer via spark-driven nitrogen fixation. The device has the potential to enhance crop growth sustainably without additional energy input or pollutant emissions.

In optics, schemes have been proposed to realize synthetic gauge fields, but are restricted to the Abelian type. Here, the authors demonstrate synthetic SU(2) non-Abelian gauge fields in anisotropic media, which allows the study of novel optical phenomena not found in Abelian synthetic gauge field systems.

The commercialization of organic solar cells has been hindered by the limited device stability. Here, authors show that the connectivity of electron transport network is a key factor determining electron transport and device stability, with polymeric acceptors likely to establish such a network.

Together with a companion paper, the generation of a transcriptomic atlas for the mouse lemur and analyses of example cell types establish this animal as a molecularly tractable primate model organism.

The use of conventional X-ray scattering techniques is challenging to detect donor-acceptor contrast within amorphous intermixing regions. Here, the authors apply neutron scattering and targeted deuteration to enhance the contrast by one order of magnitude and reveal short-range aggregations of d-Y6.

IPSC-derived organoids model diseases. Multiplexed coculture and demultiplexing natural genetic barcodes aid in studying genetic effects. Here, authors introduce Vireo-bulk to deconvolve bulk RNA-seq data, quantify donor abundance and identify differentially expressed genes.

Vaccination and infection history determine the breadth of neutralizing antibody response to SARS-CoV-2 variants and other sarbecoviruses with breakthrough or natural infection combined with vaccination or booster vaccination with mRNA vaccine providing highest neutralization.

In infectious disease models, epidemiological parameters are typically estimated assuming a exponential distributions of latent and infectious periods. Here, the authors show that adapting models to incorporate Gamma distributions produces less biased estimates when applied to the example of the early COVID-19 pandemic in South Korea.

CMAP is a method that maps large-scale individual cells to their precise spatial locations by integrating single-cell and spatial transcriptomics data through a divide-and-conquer strategy, supporting diverse data types and mapping scenarios.

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.

A universal, high-resolution printing technology for metal oxide thin-film transistors is still lacking. A plasmonic printing technology is reported to fabricate high-performance, solution-processed all-metal oxide thin-film electronics under room temperature and ambient conditions.

Dissolved inorganic carbon can be a limiting factor for organic nitrogen production in rivers, and so bedrock composition may influence river chemistry, according to geochemical analysis of rivers in Asia and statistical analysis of global datasets.

Freestanding perovskite oxides pave the way to novel flexural properties. Here, the authors observe the nanoscale strain gradient induced flexoelectric polarization with an unusual flexo-expansion/shrinkage effect in freestanding ferroelectric oxide.

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.

Freestanding membranes of hafnium zirconium oxide can be created using pulsed laser deposition method and used as the top-gate dielectric in molybdenum disulfide transistors.

Highly pathogenic avian influenza and African swine fever are major animal health concerns and prompt identification of outbreaks is important for disease control. Here, the authors develop a statistical framework to assess the performance of country surveillance systems for detecting outbreaks in animals.

Fine-mapping prioritizes risk variants identified by genome-wide association studies to uncover biological mechanisms underlying complex traits. Here, the authors develop a reliable fine-mapping method (XMAP) by leveraging genetic diversity and accounting for confounding bias.

Microswimmers are promising candidates for various biomedical applications. Inspired by spermatozoa, Tan et al. report a one-step strategy to fabricate biodegradable sperm-like magnetic microswimmers with both propelling and cargo delivery functions in a vortex turbulence assisted microfluidic chip.

Researchers demonstrate a receiver based on an all-Si eight-channel avalanche photodiode, which operates at a data rate of 160 Gb s⁻¹ per channel and has an aggregate rate of 1.28 Tb s⁻¹.

Federated learning (FL) algorithms have emerged as a promising solution to train models for healthcare imaging across institutions while preserving privacy. Here, the authors describe the Federated Tumor Segmentation (FeTS) challenge for the decentralised benchmarking of FL algorithms and evaluation of Healthcare AI algorithm generalizability in real-world cancer imaging datasets.

The authors present a soft metalens (SML) with tungsten-gel composite for ultra-broadband transcranial focus, significantly enhancing intracranial sound pressure and spatial resolution. This breakthrough advances underwater sonar, medical ultrasound imaging, and non-invasive detection for energy transmission.

The generation time (interval between successive infections in a transmission chain) is an important parameter for epidemiological modeling. Here, the authors develop a framework for estimating this parameter and how it changes over time and apply it to data from China in the first months of the pandemic.

Electrochemical conversion of waste into valuable chemicals offers a sustainable alternative to traditional manufacturing routes. Here, the authors report a strategy for durable formamide synthesis from plastic-derived ethylene glycol and ammonia using commercial platinum foil catalysts.

Stratified medicine promises to tailor treatment for individual patients, however it remains a major challenge to leverage genetic risk data to aid patient stratification. Here the authors introduce an approach to stratify individuals based on the aggregated impact of their genetic risk factor profiles on tissue-specific gene expression levels, and highlight its ability to identify biologically meaningful and clinically actionable patient subgroups, supporting the notion of different patient ‘biotypes’ characterized by partially distinct disease mechanisms.

The authors propose a generalization of the equipartition theorem of thermal physics to account for non-Hermitian trapping forces, relevant for the problems in non-equilibrium open systems and advanced nanotechnology.