959 papers
The paper introduces EEG-to-Report, a browser-based framework that streamlines clinical EEG annotation by integrating multi-format data ingestion, interactive visualization, and automated feature extraction to generate structured feature–text pairs for training multimodal language models and drafting automated clinical reports.
This study empirically validates a regulated, four-stage data quality framework for integrating multi-source oncology real-world data into the OMOP Common Data Model, demonstrating its effectiveness in ensuring data integrity and detecting clinically significant defects to support trustworthy research and regulatory decision-making.
This paper introduces the Gait Perturbation Burden (GPB), an unsupervised, consensus multifeature index that leverages individualized wearable inertial baselines to specifically detect locomotor perturbations with significantly reduced false positives during normal walking compared to single-feature or amplitude-only methods.
This paper develops and calibrates a continuous-time optimal-control model to demonstrate that cross-country disparities in chronic disease burdens and health spending are driven by structural differences in health-system productivity rather than policy errors, implying that simply increasing low-income countries' health spending without improving productivity yields minimal welfare gains.
This study in Ethiopia's Kombolcha district demonstrates that participation in small-scale irrigated vegetable production significantly improves household food and nutrition security, as evidenced by a Propensity Score Matching analysis showing substantial increases in dietary diversity and food consumption scores among participating farmers compared to non-participants.
This study employs a high-fidelity non-orthogonal Discrete Finite Element Method to demonstrate that temperature-dependent nanofluid models significantly outperform classical formulations in predicting MHD convection within wavy triangular enclosures, while identifying a critical Hartmann number threshold where electromagnetic forces suppress geometric boundary effects.
This study employs in situ atomic force microscopy, advanced electron microscopy, and DFT simulations to elucidate the multiscale evolutionary pathways of ZDDP tribofilms, revealing how entropy-driven atomic mixing and dynamic morphological processes govern their formation and adhesion to prevent wear.
This study demonstrates that in controlled synthetic environments, the surface distance between key fields significantly impacts the routing accuracy of small character-level Transformers, validating the use of such unit tests to distinguish between genuine lookup mechanisms and surface-level cue exploitation before deploying automated educational systems.
This study demonstrates that synonymous codon usage in *Platycerium* plastomes retains phylogenetic signals across geographic lineages while revealing a conserved, evolutionarily significant deficit of CpG dinucleotides at codon boundaries that persists despite strict controls for sequence composition and codon counts.
This paper presents a coordinate-based surface intersection method that represents intersection curves as sequences of residual-audited contact frames containing semantic and geometric metadata, demonstrating superior numerical precision and robust Boolean closure compared to OpenCASCADE Technology across a diverse suite of primitive and complex surface intersection cases.