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The authors present experimental evidence of three-dimensional superinsulation in a nanopatterned slab of NbTiN. In the electric Meissner state, they find polar nematic order arising from ferroelectric alignment of short electric strings excited by external electromagnetic fields.

Fully connected neural networks in the infinite-width limit often outperform finite-width models, while convolutional networks excel at finite widths. Here, the authors uncover how convolutional networks leverage local, data-dependent kernel renormalization, enabling feature learning to absent in fully connected architectures.

The ATLAS Collaboration reports a measurement of the ratio of the decay rates of W bosons to τ leptons and muons, in agreement with universal lepton couplings as postulated in the standard model of particle physics.

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.

Attosecond pulses of coherent extreme ultraviolet (XUV) light are essential tools for probing the ultrafast dynamics of atoms and molecules. The authors demonstrate how trains of coherent XUV attosecond pulses can be generated over unprecedentedly short lengths by using a relativistic electron-positron beam colliding with a laser pulse.

A fuzzy sequencer can exceed the current limit of information efficiency of DNA sequencers for resequencing applications.

The EU Emissions Trading System allows carbon trading across Europe, but market inefficiencies remain. A gravity-based community model reveals that trades are shaped by cultural, economic, and geographic proximity, limiting broader integration.

The mechanism by which two-dimensional materials remain stable at a finite temperature is still under debate. Now, numerical calculations suggest that rotational symmetry is crucial in suppressing anharmonic effects that lead to structural instability.

Domesticated grapevine produces hermaphroditic flowers, while other Vitis species are dioecious. The authors report that the Vitis sex-determining region contains flowering-related genes conserved across angiosperms and the Vitaceae, and propose a model for the evolution of dioecy in Vitis and Muscadinia.

Theoretical frameworks aiming to understand deep learning rely on a so-called infinite-width limit, in which the ratio between the width of hidden layers and the training set size goes to zero. Pacelli and colleagues go beyond this restrictive framework by computing the partition function and generalization properties of fully connected, nonlinear neural networks, both with one and with multiple hidden layers, for the practically more relevant scenario in which the above ratio is finite and arbitrary.

A reconstruction method for image scanning microscopy exploits all the information encoded in the four-dimensional image scanning microscopy dataset to achieve optical sectioning and maintain super-resolution and high-signal-to-noise-ratio imaging.

The CMS Collaboration reports the study of three simultaneous hard interactions between quarks and gluons in proton–proton collisions. This manifests through the concurrent production of three J/ψ mesons, which consist of a charm-quark–antiquark pair.

A genome-wide screen using human gut epithelial organoids combined with transposon-directed insertion sequencing identifies over 100 Shigella flexneri genes required for epithelial colonization.

The most up-to-date combination of results on the properties of the Higgs boson is reported, which indicate that its properties are consistent with the standard model predictions, within the precision achieved to date.

Tensor network simulations of lattice gauge theories may overcome the limitations of the Monte Carlo approach, but results have been limited to 1+1 and 2+1 dimensions so far. Here, the authors report a tree-tensor-based numerical study of a 3+1d truncated U(1) lattice gauge theory with fermionic matter.

MRI data from more than 100 studies have been aggregated to yield new insights about brain development and ageing, and create an interactive open resource for comparison of brain structures throughout the human lifespan, including those associated with neurological and psychiatric disorders.

Hole spin qubits benefit from large spin-orbit interaction for efficient manipulation, but this can result in qubit variability. Here the authors study anisotropies in microwave-driven singlet-triplet qubits in planar germanium, revealing two distinct operating regimes due to different quantization axes alignments.

Microwave hyperthermia enhances cancer treatment but needs precise temperature control. Here, the authors present a method to provide real-time 3D temperature monitoring with minimal invasiveness, by matching a patient-specific library of simulations to a set of scarce and noisy measurements.

The Nernst effect of transverse thermoelectric flow is usually small in less ordered systems with low charge mobility. Here, the authors show that conjugated polymers defy this expectation with Nernst effects orders of magnitude larger than predicted.

GIANT, a genetically informed brain atlas, integrates genetic heritability with neuroanatomy. It shows strong neuroanatomical validity and surpasses traditional atlases in discovery power for brain imaging genomics.

Employing appropriate catalysts in room-temperature sodium-sulfur batteries can significantly enhance performance. Here, authors utilize natural language processing techniques in conjunction with a binary descriptor to screen preferrable single-atom catalysts to achieve high specific capacity.

Passive, linear, and time-invariant electromagnetic absorbers are constrained by their bandwidth-to-thickness ratios. Here, authors design an ultra-thin absorber using a passive non-Foster impedance grid, achieving significantly improved bandwidth-to-thickness ratios.

An artificial Kitaev chain is realized by engineering three coupled quantum dots in a two-dimensional electron gas, which enables the manipulation and observation of both the edge and bulk states.

High-dimensional QKD would in principle allow for several advantages over its bidimensional counterpart, but in-the-field demonstrations are missing. Here, the authors realise 4- dimensional hybrid time-path-encoded QKD using a 52-km deployed multicore fiber link.

Measurement-induced quantum phases provide prime examples of non-trivial many-body dynamics and collective phenomena, but their experimental detection is difficult due to the post-selection barrier. Here, the authors provide a spin-wave-based approach to monitored quantum dynamics in long-range interacting systems, overcoming this challenge.

Nanopore direct RNA sequencing is promising for epitranscriptome study but remains limited in single-molecule resolution. Here, the authors develop SingleMod, a tool for accurate single-molecule m6A detection from DRS and reveal cross-species epitranscriptome landscapes at single-molecule level.

Estimating the angular separation between two incoherent sources below the diffraction limit is challenging. Hypothesis testing and quantum state discrimination techniques are used to super-resolve sources of different brightness with a simple optical interferometer.

Label-free holo-tomographic flow cytometry enables 3D analysis of nuclei in suspended cells of acute myeloid leukemia, revealing a correlation between NPM1-mutations and cup-like morphology, potentially improving diagnostics with virtual reality integration.

Here the authors show that the biological fate of rare earth nanoparticles can be genetically controlled by SMPD1 in cells, offering insights for the prevention or treatment of rare earth associated hazard effects, such as inflammation and pneumoconiosis.

Double Asteroid Redirection Test (DART) mission’s impact on asteroid Dimorphos has led to various impact related features. Here, the authors show that those features result naturally from the dynamical interaction of the ejecta with the binary system and solar radiation pressure.

Active emulsions and liquid crystalline shells offer a unique framework for exploring topological matter due to their complex morphologies and dynamic properties. Here the authors report how activity generates diverse nonequilibrium states, from defect-free motile states to complex topologically active configurations, providing insights into controlled flow and topology in active systems.

Colloidal solids have provided insights into complex condensed matter phenomena like 2D melting transitions and glass dynamics. Here, the authors explore active solids, revealing that a magnetic colloidal crystal activated by light-driven bacteria exhibits multiple effective temperatures and a new active melting route.

Small modular reactors are compact nuclear reactors that can be combined to create large-scale power plants. Here, authors demonstrate the practical feasibility of a multi-modular design in the HTR-PM nuclear plant, showing effective coordinated control of multiple reactor modules driving a common steam turbine for power generation.

The Large Hadron Collider beauty collaboration reports a test of lepton flavour universality in decays of bottom mesons into strange mesons and a charged lepton pair, finding evidence of a violation of this principle postulated in the standard model.

In the layered magnetic semiconductor CrSBr, excitons can strongly couple to nonlinear magnons. This coupling enables tunable magnon frequency mixing, parametric amplification and excitons dressed with up to 20 harmonics of magnons.

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.

A very high-energy muon observed by the KM3NeT experiment in the Mediterranean Sea is evidence for the interaction of an exceptionally high-energy neutrino of cosmic origin.  

How the brain sequentially encodes knowledge is not fully understood. Here authors propose a geometric framework for the elusive neural principles of serial reasoning and sequence encoding. Neural representations are theorized to align along a learned mental line, solving serial position and transitive inference tasks.

Artificial neurons are the backbone of deep learning algorithms, which have several applications, including image classification. Leveraging the Hong-Ou-Mandel effect, the authors introduce a quantum optical setup to classify objects without reconstructing their images, achieving a superexponential speedup over classical methods.

Double Asteroid Redirection Test (DART) mission impact on asteroid Dimophos resulted in an elliptical ejecta plume. Here, the authors show that this elliptical ejecta is due to the curvature of the asteroid and makes kinetic momentum transfer less efficient.

Several prognostic indices are available to predict the long-term fate of emerging infectious diseases and the effect of their containment measures, including a variety of reproduction numbers. Here, the authors introduce the epidemicity index, a complementary index to evaluate the potential for transient increases of SARS-Cov-2 epidemics.

Feed-forward neural networks have become powerful tools in machine learning, but their behaviour during optimization is still not well understood. Ciceri and colleagues find that during optimization, class representations first separate and then rejoin, prompted by specific elements of the training set.

During cell adhesion, integrins are typically thought to require immobilized ligands for spreading. Here, the authors demonstrate that cells can spread and form mature integrin adhesions on fluid substrates by interacting with high-affinity Invasin ligands.