Results 1 to 10 of about 6,437 (212)
The stories the data can tell: The tenuous link between evidence and theory. [PDF]
Medical Education, Volume 60, Issue 10, Page 1066-1067, October 2026.
Norman G.
europepmc +2 more sources
Trigonometric words ranking model for spam message classification
Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi +7 more
wiley +1 more source
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob +4 more
wiley +1 more source
ABSTRACT AI agents are typically deployed with gender cues that match traditional role expectations, such as female voices or avatars in assistive and support roles, because stereotype‐congruent designs enhance consumer adoption, trust, and engagement. However, prior research suggests that this practice risks entrenching occupational gender stereotypes
Marius Claudy +4 more
wiley +1 more source
Supramolecular helicity meets ferroelectricity: P3HT‐b‐PMMA helical nanowires enable handedness‐specific modulation of remanent polarization in P(VDF‐TrFE) hybrids. This platform demonstrates the first CPL‐addressable ferroelectric PUF, translating molecular chirality into secure digital authentication.
Jung‐Min Ji +7 more
wiley +1 more source
Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning
ABSTRACT Graph contrastive learning (GCL) relies on acquiring high‐quality positive and negative samples to learn the structural semantics of the input graph. Previous approaches typically sampled negative samples from the same training batch or an irrelevant external graph.
Haoran Yang +7 more
wiley +1 more source
Reporting Control Deficiencies in Repeat Internal Audit Engagements*
ABSTRACT This study examines the reporting of control deficiencies in repeat internal audit engagements. Experienced internal auditors were presented with a hypothetical case in which they were asked about the likelihood of reporting an internal control deficiency discovered last year but which was, “through an oversight,” not reported to company ...
Michael Favere‐Marchesi
wiley +1 more source
Respectful Debiasing in Democratic Deliberation
ABSTRACT Democratic deliberation about health policy requires, as one of its inputs, ethical judgments from members of the public. These judgments may, however, be biased and unreliable—they may be systematically distorted by framing and emotion effects, by the effects of self‐interest, and by a whole host of other cognitive and affective biases ...
Shang Long Yeo
wiley +1 more source
Acting on the Voicelessness Challenge to Democratic Deliberation: A Six‐Actor Framework
ABSTRACT Political philosophers have long recognized that key stakeholders in policy decisions—children, future generations, nonhuman animals, and individuals with severe cognitive impairments—are structurally unable to participate in the deliberative processes meant to legitimate those decisions.
Julian C. Jamison
wiley +1 more source
Abstract Sensitivity analysis for unmeasured confounders is essential for assessing the robustness of causal mediation conclusions. Most existing methods rely on parametric assumptions, which are ill‐suited for machine learning‐based estimators that are not tied to specific parametric models.
Xiao Liu, Cameron McCann
wiley +1 more source

