1750 papers
This study demonstrates that while the locally adapted Egyptian quinoa cultivar 'Misr1' achieves superior grain yield under full irrigation, the ICBA genotypes offer greater stability under deficit irrigation, highlighting the critical role of genotype selection and the limitations of canopy temperature as a drought indicator in arid Mediterranean Egypt.
This study identified *Enterobacter* and *Bacillus* species as key bacterial agents of postharvest spoilage in strawberries and tomatoes and demonstrated that Mexican oregano essential oil effectively inhibits these pathogens, highlighting its potential as a natural preservation strategy.
Using all publicly available ALMA data, this study presents an extensive chemical inventory of the Class 0 protostar L1527 IRS, reporting the first detection of 28 molecular species and revealing a transition from carbon-rich chemistry in the envelope to oxygen-rich chemistry in the disk.
This study utilizes a JWST/NIRSpec integral field unit survey of 27 luminous quasars at –6 to characterize the physical properties of billion-solar-mass supermassive black holes and their extended nebular environments, revealing that while most follow established low-redshift correlations, a subset exhibits fast outflows and spatially extended emission indicative of merging activities and quasar feedback shaping the interstellar medium.
This study presents a novel Ni-doped γ-Al₂O₃ multifunctional catalyst featuring frustrated Lewis pairs and spinel interlayers that achieves high-efficiency low-temperature CO₂ methanation through synergistic acid-base interactions and strong metal-support stabilization of ultra-fine Ni nanoparticles.
This study demonstrates that Cu and Zn doping of NiTiO₃ nanoparticles yield divergent bandgap responses due to their distinct electronic configurations, where Cu²⁺ introduces impurity states that significantly narrow the bandgap and enhance visible-light photocatalytic activity, while Zn²⁺ has a negligible effect.
This paper demonstrates that a specific scale-invariant, dipole-conserving fracton Hamiltonian naturally evolves toward stable fixed points that reproduce the key features of a flat, matter-dominated cosmology—including Einstein-de Sitter expansion, homogeneous particle distributions, and a bidirectional arrow of time—without requiring fine-tuning.
Using path-integral quantum Monte Carlo simulations, this study reveals that while the ground state of dipolar lattice bosons at half filling undergoes a direct first-order transition between empty and fully filled phases, finite-temperature thermal fluctuations stabilize intermediate fillings to create phase-separated states that mimic the experimentally observed "self-bound insulator."
This paper proposes an optical bound on the maximal Berry curvature for two-dimensional time-reversal symmetric insulators, derived from a refined trace-determinant inequality, which enables the identification of topological signatures and the construction of topological phase diagrams through frequency-integrated optical conductivity measurements.
This study experimentally demonstrates that the thermal susceptibility of a single hole spin in silicon, which causes detrimental Larmor frequency shifts, originates from spin-orbit-induced electric dipoles and can be completely canceled by tuning the magnetic field angle to create a thermally robust "sweet spot."
This paper introduces AdsZeo, a comprehensive coordinate-resolved dataset containing over 62,000 equilibrium methane adsorption simulations across 4,775 aluminium-substituted zeolite frameworks, providing detailed molecular configurations and metadata to support advanced analysis and machine learning applications in adsorption science.
This paper presents a template for upgrading manually operated magnetron sputtering chambers to automated systems, demonstrating its application in the semi-autonomous optimization of coercive fields in wurtzite AlScBN ferroelectric thin films.
This paper introduces Unislop, a faithful baseband re-hosting method that models surrounding components in lockstep with the UNISOC UDX710 processor to enable systematic security analysis of control-plane logic, successfully demonstrating full control-plane state recovery and real IP traffic handling on a widely used modem platform.
This paper presents PrismaDV, a compound AI system that synthesizes task-aware data unit tests for tabular data by jointly analyzing data and downstream task code to generate executable constraints linked to specific code assumptions, thereby improving data validation reliability compared to existing task-agnostic approaches.
This paper proposes a novel approach to characterizing optimization problems by calculating the Halstead volume and entropy of their programmatic implementations, demonstrating that these code-based complexity measures serve as effective, sampling-free predictive meta-features for algorithm selection.
This paper proposes a QUBO-inspired computational framework for diagnosing airport landside bottlenecks and optimizing dynamic dispatch, demonstrating through case studies at Shanghai Pudong and Hangzhou Xiaoshan airports that the method effectively reduces passenger queues and adapts to varying congestion patterns and uncertainties compared to traditional model predictive control.
This paper utilizes sparse autoencoders to reveal that language model personas (such as roleplay characters) retain a core "Assistant" feature set while progressively differentiating in deeper layers, whereas story characters lack this core entirely, highlighting a structural continuum between default and immersive simulation modes.
This paper introduces a grounded, dependency-aware framework for evaluating relation-level hallucinations in abstractive summarization, featuring an enhanced extraction algorithm and a normalized Relation Hallucination Index (RHI) that decomposes faithfulness into interpretable components for more stable and discriminative model assessment.
This paper provides a two-stage mechanistic analysis of rank collapse in Post-Norm decoder-only Transformers, demonstrating that causal attention amplifies token similarity during initialization while RMSNorm-induced gradient contraction prevents effective repair during training, ultimately leading to a collapsed state characterized by frequency-based predictions and vanishing gradients.
This paper introduces a novel out-of-distribution detection framework that leverages the internal hierarchical structure of Probabilistic Circuits to define a Hierarchical Likelihood Vector and a corresponding pseudo-metric, enabling unsupervised detection and shift localization without requiring held-out in-distribution data.
This study demonstrates that simple empirical concentration-flow relationships effectively characterize pollutant transport dynamics in the tropical semiarid Middle Jaguaribe river, revealing a dominance of non-point source pollution and predicting that climate-driven increases in discharge will likely exacerbate eutrophication and sanitary risks.
AquaClim-Atlas India is a comprehensive, open-access geospatial database spanning 1990–2025 that integrates high-resolution aquaculture land-use transitions with climate exposure and socioeconomic data across 31,088 coastal villages to enable longitudinal analysis of climate adaptation and environmental stress in India's rapidly expanding aquaculture sector.
This study demonstrates that the recently proposed Boosting Multiple Testing (BMT) method achieves forecasting accuracy comparable to popular shrinkage techniques like LASSO and Elastic Net for electricity spot prices while utilizing significantly fewer variables, thereby offering a more interpretable and parsimonious alternative without sacrificing predictive performance.
This paper demonstrates that in Bertrand competition with a finite number of firms and consumers having bounded willingness to pay, equilibrium profits are zero regardless of the market segmentation profile.
The paper introduces , a synthetic-data-trained registration framework that disentangles technical MRI distortions from true biological brain changes to enable more accurate longitudinal morphometry in neurodegenerative disease studies.
This paper proposes a context-aware, end-to-end learnable mixture-of-experts framework that uses a differentiable gating network to dynamically combine multiple LSTM experts, significantly improving robustness and prediction accuracy for nonlinear system identification under regime-switching dynamics compared to traditional reactive mixing methods.
An analysis of the English Longitudinal Study of Ageing from 2004 to 2024 reveals that health trends among older adults in England are divergent and socially patterned, characterized by simultaneous improvements in mobility, biomarkers, and memory alongside worsening pain, mental health, and self-rated health.
This prospective cohort study conducted in South Africa found that *Mycoplasma genitalium* infection during pregnancy was not associated with adverse birth outcomes, such as preterm birth or low birth weight, nor did it interact with vaginal dysbiosis, suggesting that routine testing and treatment for the infection in pregnant women may not be necessary.
Using whole-genome sequencing of 119 grey seals, this study reveals that the Baltic and North Atlantic subspecies diverged approximately 10,000 years ago due to historical hunting-induced isolation and local adaptation to environmental differences, but are now experiencing renewed contact, hybridization, and altered gene flow driven by recent population recovery.
This study establishes a robust phylogenomic framework for yellow-green algae (Xanthophyceae) using multi-organellar datasets to reveal that the independent evolution of multicellularity in this lineage is consistently associated with a shift from multiple autospore-type propagules to single monospore- and akinete-type propagules.
The paper introduces FELIX, a scalable framework that enables local-ancestry-aware genetic association analysis across diverse biobank populations without requiring discrete ancestry assignment, thereby retaining excluded admixed participants and significantly increasing the discovery of genetic loci and predictive accuracy compared to conventional methods.
This study introduces the publicly accessible "ACE mutations–AD browser," a comprehensive database classifying 1,682 ACE variants and estimating that approximately 1 in 25 individuals carries damaging mutations linked to reduced blood ACE levels, suggesting ACE deficiency may be a significant, underrecognized contributor to late-onset Alzheimer's disease susceptibility.
This study reveals that homologous recombination and genome plasticity drive the evolution and host adaptation of the emerging soft rot pathogen *Pectobacterium jejuense*, as evidenced by global genomic analyses of 214 strains that identified distinct lineages, extensive interspecies gene flow, and unique adaptive features in Hawaiian isolates.
This study utilizes comprehensive phylogenomic and comparative genomic analyses of 104 *Erwinia* strains to resolve evolutionary relationships, identify taxonomic inconsistencies, and demonstrate how lineage-specific genomic plasticity drives ecological adaptation and pathogenicity through diverse combinations of virulence factors.
This paper establishes a structural criterion distinguishing admissible field structures from realized asymptotic particle states by defining particlehood as an isolated spectral atom with non-zero weight, thereby demonstrating that any apparent fermion-scalar asymmetry within a supersymmetric multiplet necessitates supersymmetry breaking or dynamical differences.
This paper investigates the thermodynamics of the apparent horizon in an exponential gravity model, demonstrating that the horizon dynamics admits an equilibrium thermodynamic description with entropy corrections that recover the Bekenstein–Hawking area law in the limit of vanishing parameters, while identifying specific parameter ranges that satisfy or violate the generalized second law of thermodynamics.
This paper reports the development and application of a new widely tunable photonic bandgap cavity haloscope featuring concentric sapphire shells and a rotating sapphire rod, which achieves high quality factors and rapid scanning speeds to constrain axion-to-photon coupling over the 10.25–10.45 GHz frequency range.
This paper introduces Monte Carlo event generators as digital twins for collider experiments, detailing their core components and techniques used to simulate the full chain of particle physics processes from hard scattering and radiation to hadronization and decay.
This paper demonstrates that the operator structure of the large- chiral Lagrangian induces specific correlations among low-energy constants (such as , , and ), necessitating a reinterpretation of phenomenological and lattice results in terms of these correlated directions to ensure consistent precision studies in U(3) chiral perturbation theory.
This paper numerically investigates chiral symmetry restoration in holographic QCD using a Born-Infeld black hole background, revealing that while the nonlinear electrodynamics parameter stabilizes the chirally broken phase and shifts transition temperatures, it does not alter the transition order or generate a critical endpoint within the studied range.
This paper proposes a predictive left-right symmetric model utilizing modular symmetry without flavon fields to systematically construct and analyze all seven two-zero neutrino mass textures, identifying specific classes that successfully accommodate current neutrino data, reproduce the baryon asymmetry, and yield testable predictions for neutrinoless double beta decay.
This paper provides a critique of specific claims made in a recent preprint regarding the rotational Unruh effect, focusing on examples involving electrons and positrons emitting photons in high-energy storage rings and astrophysical magnetic fields.
This paper constructs a causal, finite-energy magnetic black hole model within nonlinear electrodynamics that satisfies key physical stability criteria, admits exact solutions with a single horizon, and predicts distinct observational signatures in photon spheres and black hole shadows that differ between ordinary and extraordinary electromagnetic wave branches.
This paper establishes an analytic framework linking spread complexity to local spectral statistics by demonstrating that the Krylov kernel's banded structure allows the complexity's finite-time peak and late-time behavior to be directly expressed through the Fourier transforms of nearest-neighbour spacing distributions, thereby unifying the description of both chaotic and integrable quantum systems.
This paper establishes a -analogue of Ismagilov's theorem by proving that the first continuous cohomology of the identity component of volume-preserving homeomorphisms on a closed oriented manifold is isomorphic to its first de Rham cohomology, utilizing a newly developed topological transport theory to resolve the volume-preserving -Flux Conjecture.
This paper establishes necessary and sufficient conditions for generalized polynomial and power series rings to be (locally) associated, thereby facilitating the construction of counterexamples and advancing the understanding of when formal power series rings over number field orders are half-factorial.
This paper presents a design space study of density matrix parameterizations for diffusion-based quantum state tomography, introducing a geometric framework based on the Jacobian Gram matrix to reveal that isometric conditioning and physical constraint satisfaction are orthogonal criteria where no single parameterization optimizes both, and demonstrating that while better-conditioned parameterizations improve convergence and fidelity without classifier-free guidance, the inclusion of such guidance can reverse performance rankings due to amplified boundary effects.
This paper disproves the conjectural converse to Kato's positivity criterion for commutators by demonstrating that the operator is both nonnegative and nonzero.
This randomized double-blinded trial demonstrates that preoperative bilateral sequential thoracic paravertebral blocks significantly reduce postoperative pain scores and opioid consumption in patients undergoing simultaneous bilateral uniportal VATS compared to patient-controlled intravenous analgesia alone, without increasing the incidence of nausea, vomiting, or chronic pain.
This cross-sectional study of 480 medical students in Iran found that spiritual health, measured by the Paloutzian and Ellison scale, is significantly associated with gender and marital status, with a mean score of 67.21 ± 10.96.
This study establishes an efficient CRISPR/Cas9-mediated transformation system for the banana pathogen *Pseudocercospora fijiensis*, which was successfully used to generate knockout mutants demonstrating that the effector Avr4 is not responsible for the resistance observed in the banana accession Calcutta 4.
This study utilizes integrated Nanopore direct RNA sequencing and snoRNA profiling to demonstrate that rRNA modification stoichiometry undergoes dynamic, site-specific changes during human embryonic stem cell differentiation, revealing a novel layer of ribosome heterogeneity regulated by differential snoRNA expression.
This paper investigates blowup relations in the partition functions of 5d $SU(2)$ SYM theories with four flavors, linking their Weyl group symmetries to Lie algebra weights and utilizing these relations to derive bilinear equations for -Painlevé VI tau functions.
This paper demonstrates that efficient information transfer during collective turns in spinless flocks arises from the non-reciprocal nature of interactions, which enables wave-propagating features and velocity fluctuations analogous to a Born approximation within a minimal aggregation-based model.
This study employs the exact full configuration-interaction quantum Monte Carlo method to demonstrate that symmetric nuclear matter is strikingly strongly correlated, thereby challenging the validity of previous *ab initio* calculations that relied on truncated many-body expansions.
This paper identifies a previously unrecognized empirical regularity in the low-energy spectra of odd-mass nuclei that serves as a reliable signature for octupole collectivity in neighboring even-even systems, offering a simple guide for selecting promising candidates for future experiments and theoretical studies.
This paper investigates the evolution of proto-hybrid stars by deriving hot hybrid equations of state under various charge conservation and neutrino trapping conditions, revealing that the early stages of a hybrid star's life critically influence its maximum gravitational mass in later stages.
This study employs time-dependent density functional theory to reveal that the early-stage dynamics of neutron-induced fission in U within both the ground and isomeric wells are strongly dissipative, exhibiting distinct mass asymmetry behaviors—rapid stabilization in the ground state versus large-amplitude harmonic oscillations in the isomeric well—along with rare neutron emission.
This paper presents a cross-validated dataset of 87 cosmetic active ingredients derived from four diverse public sources, featuring a high-precision rule-based matching ontology and demonstrating strong cross-channel agreement to support reproducible research on cosmetic formulation structures and ingredient co-occurrence.
This paper claims to experimentally realize a stateless, non-local information materialization system using Hierarchical Spatiotemporal Key Generation and a Virtual Quantum Processing Unit to bypass the Landauer bound, though the abstract contains numerous scientifically impossible assertions (such as "Google DeepMind Antigravity," "Antigravity" quantum computing, and patents dated in 2026) that indicate the content is fictional or pseudoscientific.
This study demonstrates that the sum-connectivity Gourava index ($SGO$) is a superior molecular descriptor compared to the product-connectivity Gourava index ($PGO$) for benzenoid hydrocarbons, offering better predictive accuracy for -electronic energies, strong complementary correlations with standard descriptors, low degeneracy, and high structural sensitivity for QSPR modeling.
This paper proposes and develops a novel accelerator-based source at Jefferson Lab that utilizes high-intensity, polarized positron beams to generate quantum-entangled 511 keV gamma-ray pairs with unprecedented flux and control, offering transformative potential for precision quantum studies and applications in fields ranging from medical imaging to quantum information science.
This study utilizes a nonlinear reconstruction and quantum phase-space formalism to demonstrate that passive PMMA dielectric media can mitigate optical turbulence, quantitatively evidenced by the transition of photon statistics from super-Poissonian toward near-sub-Poissonian regimes as measured by the Fano factor.
High-pressure synthesis significantly enhances the superconducting transition temperature and phase purity of underdoped and optimally doped PrFeAsO1-xFx by improving fluorine incorporation and microstructure, but its effectiveness is strongly composition-dependent, leading to impurity segregation and suppressed superconductivity in overdoped samples.
This paper demonstrates the first verification of Bell nonlocality using directly generated, high-fidelity spin-photon entanglement between a single rubidium atom and a telecom C-band photon, achieved via resonant excitation and cavity assistance to enable scalable quantum networks.
This study combines experimental L-MM Auger-Meitner electron spectroscopy with theoretical modeling to demonstrate that slow, multiply charged collisions induce extensive multiple ionization and charge exchange, leading to a charge-state equilibrium where both target and projectile emit electrons from species regardless of the initial projectile charge.
This paper reveals and experimentally demonstrates a deterministic law using elementary symmetric polynomials to describe the collective longitudinal propagation of optical vortex constellations, thereby enabling a novel method for longitudinal displacement sensing without the need to track individual singularities.
This paper demonstrates that conditioning a stochastically observed system on a shared collective record (such as a tagged particle's trajectory) induces a specific "Schur shield" that suppresses global fluctuations while preserving local independence, thereby establishing a calculable baseline for dynamical heterogeneity that must be subtracted from measured susceptibilities to reveal genuine cooperative signals.
This study presents the 2.44 Å cryo-EM structure of a minimal PSI-LHCI-FNR supercomplex from the terrestrial eustigmatophyte *Vischeria stellata*, revealing a compact three-subunit antenna and a conserved FNR tethering mechanism that illustrates how photosynthetic energy conversion adapts to terrestrial environments through modular antenna remodeling while retaining core acceptor-side organization.
This study demonstrates that the aphid effector CathB6 suppresses Arabidopsis immunity by sequestering the EDS1 regulator in p-bodies and rewiring the MORF2-GUN1-GLK signaling pathway to maintain photosynthetic homeostasis while dampening defense responses.
This paper presents MCGRO, a novel confidence-guided graph reinforcement framework that integrates heterogeneous multi-omics data through adaptive weighting and iterative edge optimization to generate robust patient similarity networks for improved cancer subtyping and clinical stratification.
This paper presents a statistical mechanics framework demonstrating that multivalent biological recognition operates as a smooth crossover rather than a phase transition, where selectivity emerges from the collective distribution of weak bonds across an assembly rather than the strength of individual interactions.
This paper introduces and validates three novel binary indicators for detecting intraday market anomalies in European Bitcoin and Ethereum exchange-traded products, demonstrating that these rare events are characterized by distinct microstructure features and can be accurately predicted one minute ahead using machine learning models.
This paper develops an explicit solution for a continuous-time asset-liability management problem with Epstein-Zin utility under stochastic interest rates and an unobservable market price of risk by introducing a novel decoupling method to solve a coupled forward-backward stochastic differential equation with unbounded coefficients, thereby quantifying the economic value of learning in partial information settings.
This paper introduces an open-source domain-specific language and an accompanying framework designed to simplify the creation, automation, and orchestration of hybrid quantum-classical meta-solver strategies, thereby reducing the need for specialized expertise in identifying optimal quantum candidates for specific problems.
This paper introduces Noise Assisted Ensemble Decoding (NAED), a highly accurate and fast decoding framework for QLDPC codes that leverages synthetic soft information and controlled noise perturbations to construct an ensemble of Tanner forests for exact inference, achieving state-of-the-art performance with orders-of-magnitude speed improvements over existing solutions.
The author presents CT ECV Mapper, an open-source 3D Slicer application that enables both interactive and unattended batch processing of voxelwise extracellular volume mapping for the liver and hepatic tumors using conventional single-energy multiphase CT, demonstrating high feasibility and robust quality control on a large public dataset.
This retrospective study demonstrates that applying Low-Rank Adaptation (LoRA) to a frozen Rad-DINO ViT-B/14 foundation model improves multi-label classification performance on the NIH ChestX-ray14 dataset, while explicitly clarifying that the reported results are descriptive rather than confirmatory due to prior exposure to test labels and highlighting the sensitivity of metrics to counterfactual label-flip analyses.
This study characterizes Shenzhen's urban villages as a distinct urban form with specific physical and pricing characteristics, yet reveals that their lower local service provision is a broader neighborhood-wide issue rather than a simple divide between village and formal residential areas.
This study employs a computational, cross-linguistic analysis of Chinese, Spanish, and German political discourse to demonstrate that while climate change frames show significant semantic convergence in issue definition, they diverge markedly in moral evaluation and policy recommendations due to culturally specific semantic adaptations.
This paper proposes a novel data preprocessing algorithm using quantile distribution mapping to achieve counterfactual fairness in reinforcement learning by estimating counterfactual states and rewards without relying on strict additivity assumptions, while providing theoretical bounds on unfairness and suboptimality and validating the approach through numerical and real-world digital health experiments.
This paper proposes a computationally efficient Gaussian process model with low-rank approximation that accurately separates udder floor and teat signals in 3D point clouds, enabling robust and automated teat length phenotyping in dairy cows with significantly reduced error and runtime compared to existing methods.