diffusion models

Deciding with muscles

Sequential sampling models have a rich tradition in psychology and play a central role in our understanding of human decision-making. According to these models, decisions arise from the gradual accumulation of noisy evidence over time until a decision threshold is reached. This framework accounts for both choice behavi...

1970-1975: Comparative respiratory physiology and the Göttingen models

e^−2 Threshold for Bistability in Non-equilibrium Sorting of Biomolecular Condensates

Cells use ATP-driven chaperones to extract clients from biomolecular condensates selectively, yet no closed-form criterion links molecular parameters to condensate quality control. We derive a minimal non-equilibrium sorting reactor model that reduces the reaction-diffusion dynamics to one algebraic equation. In the id...

Machine learning prediction of chloride convection-zone depth in marine tidal concrete with model explainability and experimental validation

Reliable prediction of chloride convection-zone depth is important for service-life assessment of tidal-zone concrete, but most data-driven chloride studies focus on surface concentration or diffusion-related indicators. This study proposes a data-driven prediction and explainability framework for chloride convection-z...

AXIOM: Parameter-Efficient Cultural Alignment of Latent Diffusion Models Under Strict 4GB Edge Constraints

Foundational text-to-image latent diffusion architectures operate with systemic geographic and demographic blind spots. Pre-trained predominantly on Western and East Asian web-scale corpuses, these models default to homogenized, inaccurate stereotypes when prompted for the Global South. This paper presents the architec...

Bacterial Cheminformatics: Large Language Models and Challenges in Bacterial Chemspace

The escalating global crisis of antimicrobial resistance (AMR), often characterized as a "silent pandemic," necessitates a paradigm shift in antibiotic discovery. Traditional cheminformatics pipelines, reliant on hand-crafted molecular descriptors and low-throughput screening, are increasingly insufficient to address t...

MULTICARBON ELECTROSYNTHESIS & HYBRID CARBON BIOREFINERIES AT THE LIMIT C-C Coupling, Ethylene, Ethanol, Acetate, Propanol, Butanol, Product Concentration, Electro-Biological Manufacturing, and Carbon-Chain Growth

MULTICARBON ELECTROSYNTHESIS & HYBRID CARBON BIOREFINERIES AT THE LIMITC-C Coupling, Ethylene, Ethanol, Acetate, Propanol, Butanol, Product Concentration, Electro-Biological Manufacturing, and Carbon-Chain Growth Feng Cheng-en (33) x Starli When does growing a carbon chain create more system value than catalytic comple...

FBR Inverted Lock Mechanism

Abstract / Description This appendix to the Free Body Rotation Model (FBR) examines the kinematic and thermodynamic implications of sign-reversing the radial phase velocity (\bm{v_r \to -v_r}) within a topologically protected 2:1 phase lock. By inverting the radial gradient, the model converts an internal confining str...

Accelerated Degradation Process Analysis Based on the Generalized Wiener Process with Mixed Random Effects

This paper investigates degradation modeling and failure time prediction for constant-stress accelerated degradation tests (CSADT) using a generalized Wiener process. Owing to differences in manufacturing processes and operating environments, the degradation trajectories may vary across individual units of the same pro...

Quantitative Test of Neutrino-Induced Microscopic Momentum Renewal

This paper establishes a quantitative experimental framework for testing the hypothesis that the pervasive neutrino energy-momentum flux provides a physical mechanism for persistent microscopic momentum renewal in matter. The framework begins from established neutrino physics: neutrinos are produced carrying energy and...

Computational Data and MATLAB Codes for Fuzzy Parametric Uncertainty Propagation in a Fractional Reaction–Diffusion Hahnfeldt Tumor–Vascular Model

This repository contains the MATLAB codes and numerical data supporting the computational results of the study “Fuzzy Parametric Uncertainty Propagation in a Fractional Reaction–Diffusion Hahnfeldt Tumor–Vascular Model.” The computational framework combines Caputo fractional temporal dynamics, spatial diffusion, and tr...

Quantitative Test of Neutrino-Induced Microscopic Momentum Renewal

This paper establishes a quantitative experimental framework for testing the hypothesis that the pervasive neutrino energy-momentum flux provides a physical mechanism for persistent microscopic momentum renewal in matter. The framework begins from established neutrino physics: neutrinos are produced carrying energy and...