diffusion models

Beyond green claims: customer engagement activates green evangelism

Purpose Credible environmental claims frequently fail to convert into customer advocacy. This study aims to explain why. It positions customer engagement as the mechanism that activates green evangelism from perceived green reputation and perceived green credibility and openness to experience as a trait activated bound...

Second-Hand Technology Flows and the Unmanaged Diffusion Frontier

The global clean‑energy transition in low‑ and lower‑middle‑income economies is unfolding not through factory‑new photovoltaic arrays, electric vehicles, or utility‑scale batteries, but through an expansive, largely unregulated influx of second‑hand, refurbished, and near‑end‑of‑life hardware. As documented in the mono...

Second-Hand Technology Flows and the Unmanaged Diffusion Frontier

The global clean‑energy transition in low‑ and lower‑middle‑income economies is unfolding not through factory‑new photovoltaic arrays, electric vehicles, or utility‑scale batteries, but through an expansive, largely unregulated influx of second‑hand, refurbished, and near‑end‑of‑life hardware. As documented in the mono...

KANResDiff: Learning Local Residual Diffusion via Kolmogorov-Arnold Network for Ambiguous Medical Image Segmentation

《Nanomaterials at the Limit: Engineering Interfaces, Defects, Surfaces, and Programmable Matter》 is a flagship-scale research volume exploring what becomes possible when the properties of matter are no longer determined primarily by bulk composition, but by size, shape, surface, interface, defect structure, hierarchy, and nanoscale organization.

《Nanomaterials at the Limit: Engineering Interfaces, Defects, Surfaces, and Programmable Matter》 is a flagship-scale research volume exploring what becomes possible when the properties of matter are no longer determined primarily by bulk composition, but by size, shape, surface, interface, defect structure, hierarchy...

《Nanomaterials at the Limit: Engineering Interfaces, Defects, Surfaces, and Programmable Matter》 is a flagship-scale research volume exploring what becomes possible when the properties of matter are no longer determined primarily by bulk composition, but by size, shape, surface, interface, defect structure, hierarchy, and nanoscale organization.

《Nanomaterials at the Limit: Engineering Interfaces, Defects, Surfaces, and Programmable Matter》 is a flagship-scale research volume exploring what becomes possible when the properties of matter are no longer determined primarily by bulk composition, but by size, shape, surface, interface, defect structure, hierarchy...

Characteristics of Staphylococcus epidermidis Isolated from Humans and Animals

Staphylococcus epidermidis is an important opportunistic pathogen and a potential reservoir of antimicrobial resistance determinants, yet comparatively little is known about isolates originating from both humans and companion animals. This study characterized 320 S. epidermidis isolates obtained from humans, cats, and...

Give the Long-tail More SPACE: Promoting Provider Fairness in Next POI Recommendation

SPACE (Supply- and Physics-Aware Conditional Embedding generation), a model-agnostic framework that improves long-tail POI exposure via virtual user generation under explicit feasibility and supply control, is proposed.

Incorporating Wave Physical Priors into Diffusion Models: A Novel Approach to Seismic Resolution Enhancement

Seismic resolution enhancement remains a critical challenge in exploration geophysics, particularly when processing field data characterized by limited bandwidth, strong noise, and insufficient labeled training samples. Existing deep learning methods typically rely on supervised learning with synthetic training data, l...

CDPM-Align: Multi-scale Guidance-Aligned Diffusion Pretraining for Robust Few-Shot Anatomical Landmark Detection

Brain-DiT: A Universal Multi-state fMRI Foundation Model with Metadata-Conditioned Pretraining

Spinverse: Differentiable Physics for Permeability-Aware Microstructure Reconstruction from Diffusion MRI