Using large language models to analyze political texts through natural language understanding
Abstract Large language models (LLMs) offer scalable alternatives to human experts when analyzing political texts for meaning, using natural language understanding (NLU). Qualitative NLU methods relying on human experts are severely limited by cost and scalability.
Kenneth Benoit +4 more
wiley +1 more source
Disordered Bile Acid Metabolism in Alcohol‐Related Hepatitis
Serum conjugated primary bile acids accumulate in alcohol‐related hepatitis due to downregulation of hepatocyte bile acid transporters. Hepatocyte growth factor is elevated in alcohol‐related hepatitis and downregulates BSEP expression. This detrimentally affects the hepatoprotective adaptive reduction in NTCP/increase in BSEP seen in cholestasis ...
Luke D. Tyson +22 more
wiley +1 more source
Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
wiley +1 more source
A hybrid differential evolution algorithm for distributed assembly flexible job shop scheduling with batch delivery and inventory. [PDF]
Zhou S, Han S, Yang M, Du B.
europepmc +1 more source
Latent Poisson count models for action count data from technology‐enhanced assessments
Abstract Recent advances in computerized assessments have enabled the use of innovative item formats (e.g., drag‐and‐drop, scenario‐based), necessitating a flexible model that can capture systematic influence of item types on action counts. In this study, we present a refinement scheme that can explicitly model common features of items and allows ...
Gregory Arbet, Hyeon‐Ah Kang
wiley +1 more source
Numerical simulation of heat transfer and fluid characteristics in micro-channels with obliquely arranged capsule-shaped ribs and optimization study of structural parameters. [PDF]
Yao J +8 more
europepmc +1 more source
Story2Board: A Training‐Free Approach for Expressive Visual Storytelling
Abstract We present Story2Board, a training‐free framework for expressive storyboard generation from natural language. Existing methods narrowly focus on subject identity, overlooking key aspects of visual storytelling such as spatial composition, background evolution, and narrative pacing.
D. Dinkevich +4 more
wiley +1 more source
Optimization design and research of an interior double-radial asymmetric permanent magnet and salient-pole electromagnetic hybrid excitation generator for vehicles. [PDF]
Li C +5 more
europepmc +1 more source
Mesh Processing Non‐Meshes via Neural Displacement Fields
Abstract Mesh processing pipelines are mature, but adapting them to newer non‐mesh surface representations—which enable fast rendering with compact file size—requires costly meshing or transmitting bulky meshes, negating their core benefits for streaming applications.
Yuta Noma +4 more
wiley +1 more source
Machine learning guided resolution of mechanical trade-off in polymer composites via stress adaptive interface. [PDF]
Wang H +8 more
europepmc +1 more source

