diffusion models

dissmodel-ca: Cellular Automata extension for DisSModel

Cellular automata models for the DisSModel framework (vector and raster substrates): Game of Life, fire spread, growth, snow, diffusion, Wolfram rules and other classic examples, ported from the TerraME model collection.

Encoder relationships govern selectivity in embedding-space attacks on text-to-image diffusion models

Integrating Edge AI, IoT, and Circular Economy Principles for Next-Generation Wearable Intelligence

With the rapid development of the textile technologies, few empirical studies have investigated the possibility of simultaneously improving the environmental performance, the operational efficiency, and the users' acceptance of sustainable smart textile ecosystems, in order to achieve the circular economy goals. To inv...

Evaluation of Technical Readiness of the Whole-Process Optimized Fertilization Plan for Vitis vinifera ‘Red Globe’ at a County Scale

Excessive fertilization in grape production reduces profitability and harms the environment. A five-year field experiment and household survey in Xiangyun County, Yunnan, evaluated a whole-process optimized fertilization plan for Vitis vinifera ‘Red Globe’ (hereafter abbreviated as Red Globe Grapes) and its spatial dif...

Design and optimisation of instantaneous controlled pressure drop technology for the sandalwood industry

Indian sandalwood (Santalum album L.) is a high-value aromatic tree native to South Asia and now cultivated commercially in tropical regions, including northern Australia. Its principal marketable product is a heartwood essential oil rich in the sesquiterpene alcohols alpha- and beta-santalol, which underpin its use in...

Diagnostic Performance of Machine Learning Models Based on ADC Maps in Parotid Gland Tumors

Objective: This study aims to evaluate the diagnostic performance of radiomics features extracted from ADC maps for differentiating benign from malignant parotid tumors using machine learning models, demonstrating their potential as supplementary diagnostic tools. Materials and Methods: Forty-six patients who underwent...

optika

optika is a Python library for simulating optical systems, similar to Zemax. It raytraces sequential systems of mirrors, refractive glasses, multilayer coatings, and diffraction gratings with a variety of ruling spacings and profiles, and computes the spectral response and resolution of the system. Surfaces are placed...

Cross-attention fusion of biparametric MRI sequences with demographic and clinical variables for patient-level classification of clinically significant prostate cancer

Abstract Accurate patient-level risk stratification of clinically significant prostate cancer (csPCa) on biparametric MRI remains challenging, as most existing approaches require costly lesion-level annotations or have not been evaluated in large temporally separated cohorts. We developed and validated a multimodal dee...

Evasion attacks on generative safeguards: target-concept reappearance under structural control in grey-box settings

Abstract Concept erasure has emerged as a practical safeguard for suppressing unsafe or unwanted concepts in text-to-image diffusion models. However, existing methods are primarily designed for text-triggered generation and are usually evaluated under text-only prompting. In this paper, we identify a practical robustne...

Electroosmotic Flow Modulation and Dispersion of Uncharged Solutes through a Reservoir-Connected Soft Nanochannel

Abstract The present study investigates the modulation of the electroosmotic flow (EOF) and the transport and dispersion of uncharged solutes in a reservoir-connected soft nanochannel containing different electrolytes. The nanochannel walls are charged and coated with a fluid- and ion-permeable polyelectrolyte layer (P...

Reconstructing the Projected Dark Matter Field across 0.1–100 Mpc Scales from the SDSS Survey*

Abstract Dark matter sets the gravitational environment in which galaxies form and evolve, but cannot be observed directly. We present a conditional diffusion model that reconstructs the projected dark matter density field from the galaxy stellar-mass density field for direct application to galaxy surveys. The model is...

First-principles transition-state tensorial cluster expansion of vacancy diffusion in Ta–W beyond the kinetically-resolved activation approximation

Predicting diffusion in chemically complex alloys remains challenging due to the strong dependence of migration barriers on local atomic environments. Migration barriers computed using density functional theory and nudged elastic band calculations are represented via a tensorial cluster expansion including transition s...