diffusion models

Thermal–Fluid Characteristics of Transformer Winding Inter-Turn Short Circuits and Their Application to Fault Localization

Internal temperature monitoring is an important approach for assessing the operating condition of power transformers. Temperature-rise characteristics not only indicate faults such as inter-turn short circuits but also indirectly reflect the diffusion and transport behaviors of characteristic dissolved gases within the...

SeapoPym v0.1: implementation of the SEAPODYM low and mid trophic levels in Python with a flexible optimization framework

SEAPODYM-LMTL, the low and mid trophic level component of SEAPODYM, simulates mesozooplankton and micronekton biomass globally as an advection-diffusion-reaction system driven by physical and biogeochemical forcing. Its mesozooplankton parameterization remains incompletely calibrated, and its operational implementation...

The mediating role of organizational and environmental context in the adoption intention of artificial intelligence: a higher-order double mediation analysis

Abstract: This study examines how organizational context (OC) and environmental con-text (EC) affect the relationship between technological context (TC) and the intention to adopt artificial intelligence (AI) among firms in an emerging economy. Drawing on the Technology-Organization-Environment (TOE) model and the Diff...

Peruvian Pre-Hispanic Ceramics Image Dataset for Digital Inpainting and Reconstruciton

This dataset comprises approximately 5,000 visual records of pre-Hispanic Peruvian ceramic vessels from the Paracas, Moche, and Nazca cultures. The imagery was compiled via automated web scraping from the public digital repositories of the Ministry of Culture of Peru (Ministerio de Cultura del Perú), conducted with the...

EXPLAINABLE AI-BASED MULTIPARAMETRIC MRI RADIOMICS FOR PREDICTING CLINICALLY SIGNIFICANT PROSTATE CANCER

An explainable mpMRI radiomics framework may provide complementary quantitative information to PI-RADS and clinical variables for prediction of prostate cancer diagnosis and SHAP-based explanations can link model predictions to anatomically plausible imaging characteristics.

Pharmacophore model guided 3D molecular generation through diffusion model

Public Orientations Toward Artificial Intelligence in a South Korean Online Quota Sample: A Mixed-Indicator Profile Analysis

Public responses to artificial intelligence (AI) may combine capability, critical awareness, expected benefits, global outlook, and affect in configurations that are not captured by a single optimism–resistance continuum. We analyzed an unweighted, non-probability online quota sample of 2000 South Korean adults aged 18...

Supplemental Materials for Adaptive Physical Parameter Generation Framework for Multi-point Aircraft Inverse Design via Diffusion Models Coupled with Optimal Aerodynamic Correlation Estimation

The Biological Signalling Basis of NASP: From Physical Information to Endogenous Biological Reactivation

What if living systems do not need to be "fixed" with external chemical agents, but simply need to be reminded of their own functional potential? This conceptual work challenges the conventional biomedical paradigm of direct intervention—which relies on replacing, suppressing, or artificially imposing biological outcom...

Conditional Latent Diffusion for Synthetic Brain MRI in Alzheimer’s Disease: A Preprocessing-Focused Pipeline

Deep learning for Alzheimer’s disease (AD) detection from structural magnetic resonance imaging (MRI) needs large, labelled datasets, yet many cohorts hold only a few hundred participants, for which conventional augmentation adds little anatomical diversity. In a two-stage pipeline, a variational autoencoder compressed...

"Simulation Data for Feedback-Controlled Intervention in a Model of Information Cocoons"

"This dataset contains synthetic simulation outputs supporting the manuscript \u201cFeedback-Controlled Intervention in a Model of Information Cocoons: Concentration, Affinity, and Diffusion Trade-offs\u201d by Yun Tao and Zongwei Luo. It covers two targeted studies: an original-model intervention comparison with 80 re...

RF Alpha-Channeling in a D–³He Tandem-Mirror Burner: Raising the Recoverable Charged-Particle Fraction from 8% Toward 80%

In a deuterium–helium-3 (D–^3He) tandem-mirror burner the fusion-born 14.68 MeV proton and 3.67 MeV alpha carry the overwhelming majority of the released power as fast, mirror-trapped ions. Left to thermalise, that energy is shared between electron drag and a broadly heated ion background whose confined, usefully recov...