816 papers
This paper introduces a data-driven, neural-network-based approach that reduces the complexity of diverse microbiomes into a few interpretable functional groups, thereby linking specific microbial or genetic traits to community-wide functions and responses to perturbations across human and environmental health contexts.
This paper employs the random first-order transition theory and a generalized Master equation to characterize the non-Markovian, aging dynamics of thermal avalanches in driven amorphous systems, utilizing full counting statistics to derive the complete distributions of avalanche magnitudes and counts under various driving protocols.
This study demonstrates that the equation-of-motion coupled-cluster (EOM-CC) method accurately predicts the resonant inelastic x-ray scattering (RIXS) spectra of the $5d^1_2_6T_{2g}$ modes in shaping spectral fine structure.
This paper introduces a new, computationally efficient matrix-based algorithm for determining antineutrino directionality in segmented reactor detectors, offering improved accuracy and error analysis over conventional methods while identifying optimal segmentation scales for low-count regimes.
This paper investigates the one-dimensional Generalized Dirac Oscillator within Doubly Special Relativity frameworks, demonstrating how complexified Morse interactions yield real spectra through pseudo-Hermiticity and symmetry while revealing distinct deformation effects on the energy spectrum under Magueijo--Smolin and Amelino--Camelia prescriptions.
Using high-resolution MMS data, this study provides observational evidence that ion-acoustic-like electrostatic wave activity is causally linked to the formation of cavitons (localized density depletions) within foreshock transients, a relationship best quantified by normalizing potential fluctuations by electron temperature.
This study demonstrates that enhanced friction and turbulent mixing over Jamaica's mountainous terrain were the primary drivers of Hurricane Melissa's (2025) rapid decay, accounting for a significant portion of the observed wind and energy loss, while additional asymmetric and thermodynamic processes further amplified the weakening.
Through experiments on a colloidal particle in an optical tweezer, the authors demonstrate that simultaneously scaling deterministic forces and adding external noise accelerates the Langevin clock, thereby keeping driven systems closer to thermal equilibrium and enabling more precise free-energy recovery for applications in thermodynamic computing.
This paper establishes a relationship between HOMFLY-PT and Kauffman polynomials for specific knot classes using Birman-Murakami-Wenzl algebra characters to prove a conjectured correspondence with Harer-Zagier factorisability for 3-strand knots, while demonstrating through 4-strand counterexamples that this correspondence does not hold universally for knots with higher braid indices.
This study analyzes the long-term effectiveness of eco-routing under population growth in six U.S. cities, revealing that while emissions scale superlinearly with population and eco-routing creates carbon bottlenecks, targeted capacity expansion on these critical links significantly reduces both emissions and travel time without compromising routing efficiency.
This study demonstrates that incorporating magnetic drift into orbit models significantly alters the potential landscape governing ambipolar electric field selection in non-axisymmetric plasmas, offering an explanation for discrepancies between simulations and experiments while highlighting the field's increased susceptibility to noise-induced state transitions.
This paper establishes a correspondence between the Extended Uncertainty Principle (EUP) and the Schwarzschild black hole metric to demonstrate that while the event horizon remains unchanged, increasing EUP parameters expand the photon sphere but shrink the shadow size, thereby allowing observational data from Sgr A* to constrain EUP parameters.
This study develops a convolutional neural network framework to automatically detect and statistically characterize ripple-scale gravity wave structures in mesospheric airglow imagery, thereby advancing the understanding of instability-driven atmospheric dynamics and demonstrating the potential of deep learning in scientific research.
This paper reports progress on calculating the first three nontrivial Mellin moments of kaon light-cone distribution amplitudes and summarizes recent continuum-limit results for the pion fourth moment using dynamical lattice QCD within the heavy-quark operator product expansion framework, demonstrating the method's feasibility for accessing higher moments.
Using 13.6 TeV proton-proton collision data collected by the CMS detector, this study measures angular correlations within jets induced by gluon polarization and finds that the results strongly favor theoretical models incorporating gluon spin effects over those that neglect them.
This study provides experimental evidence of intrinsic -wave altermagnetism in rutile-structure NiF using X-ray magnetic circular dichroism (XMCD), demonstrating that the observed signal is a superposition of altermagnetic and weak ferromagnetic contributions that can be successfully isolated through specific magnetic field protocols.
This paper demonstrates that an empirical, dimensionless "neutron-skin curvature" derived from experimental charge radii collapses data from over 800 nuclei across 88 elements onto a single universal curve when plotted against normalized neutron excess, revealing a robust geometric scaling law that accounts for 88% of the variance without requiring element-specific tuning or interaction models.
This paper develops a gauge-invariant Hartree-Fock framework to compute orbital magnetization in magic-angle twisted bilayer graphene, demonstrating that remote bands make substantial contributions to both orbital magnetization and self-rotation terms, necessitating careful convergence for accurate evaluation of magnetic responses in correlated moiré systems.
Through high-field Rb NMR measurements on the triangular-lattice antiferromagnet RbNi(SeO), the study provides evidence for a magnetic up-up-down phase and two distinct gapless regimes consistent with spin supersolid phases, while revealing a unique negative slope in the UUD-V phase boundary driven by strong low-energy spin fluctuations.
This study utilizes high-fidelity direct numerical simulations to demonstrate that increasing inlet Mach numbers in a low-pressure turbine cascade systematically reduces separation bubble sizes and accelerates transition to turbulence, yet paradoxically increases profile losses by altering the transition pathway from spanwise rolls to streak-dominated bypass mechanisms.