diffusion models

Sex-specific patterns of symptom burden, psychological distress, and work productivity impairment in post-acute sequelae of COVID-19: a 10-month dynamic cohort study

Abstract Background A considerable proportion of patients experience post-acute sequelae of COVID-19 (PASC). Increasing evidence suggests sex-related differences, yet systematic longitudinal analyses remain limited. This study aimed to examine sex-specific differences in symptoms, psychological burden, work productivit...

Sustainable Use of AI-Driven Image Generation Tools Among Instructors: An Integrated Diffusion of Innovation Theory and Task–Technology Fit Model

The data supporting the findings of this study are not publicly available in individual-level form because of restrictions related to participant privacy and the conditions of informed consent and ethical approval. De-identified and/or aggregated data supporting the reported findings are available in Zenodo at https://...

THE INFLUENCE OF PEM THICKNESS ON CELL PERFORMANCE AND PRESSURE DROP IN GAS CHANNELS WITH DISTINCT CROSS-SECTIONS BASED ON CFD

Hydrogen is a promising clean energy carrier owing to producing from renewable and low carbon resourcessuch as waste, hydro, wind and solar. Proton exchange membrane fuel cells (PEMFCs) have an encouragingprospect for the future energy source employed in distinct applications such as transportations, portable andstatio...

jenswag/eve: First release

Hybrid model for predicting composition-dependent mutual diffusion coefficients in liquid mixtures

Future-Sufficient Control Quotients Robust Closure, Operational Reduction, and Physical Realization

A task-relative theory of what may be forgotten, what may be ignored in practice, and what need not be physically maintained Reduced representations can be sufficient in at least three inequivalent senses: they may close under a declared family of future continuations, support near-optimal decisions for a specified obj...

THE INFLUENCE OF PEM THICKNESS ON CELL PERFORMANCE AND PRESSURE DROP IN GAS CHANNELS WITH DISTINCT CROSS-SECTIONS BASED ON CFD

Hydrogen is a promising clean energy carrier owing to producing from renewable and low carbon resourcessuch as waste, hydro, wind and solar. Proton exchange membrane fuel cells (PEMFCs) have an encouragingprospect for the future energy source employed in distinct applications such as transportations, portable andstatio...

jenswag/eve: Name update

Hybrid model for predicting composition-dependent mutual diffusion coefficients in liquid mixtures

Deterministic Electrochemical Battery State Estimation via Volume-Weighted Lithium Mass Hyperplane Projections: Achieving Zero-Drift SoC and Hard Real-Time BMS on Microcontrollers

Precise on-board estimation of State of Charge (SoC) and State of Health (SoH) in lithium-ion battery management systems (BMS) remains a critical bottleneck in electric vehicle range predictability, fast-charging safety, and pack longevity. Conventional BMS firmware is polarized between two inadequate paradigms: empiri...

On fractional discrete-time spatio-temporal SIR models

DriftJax: A Differentiable 1-D Drift-Diffusion Solar-Cell Simulator in JAX

DriftJax is a one-dimensional, end-to-end differentiable photovoltaic cell simulator based on the drift-diffusion model and the Beer-Lambert law for optical absorption, programmed in Python using JAX. Gradients of the power conversion efficiency (and any scalar figure of merit) with respect to device design parameters...

The Neuro Stability Number (NSN) Framework: Non-Equilibrium Thermodynamics, Codimension-2 Bifurcations, and Optimal Control of Proteopathic Degeneration.

Proteopathic neurodegeneration, post-traumatic axonal collapse, and chronic ischemic degradation are conventionally categorized as distinct biochemical etiologies and managed via single-target molecular therapies. Here, we present a unified mathematical framework that transcends the static, lesion-centric paradigm by t...

Pretrained diffusion checkpoints for GSS and RSS material datasets

Description This record provides the pretrained CSP diffusion model used by GSS (Generative Structure Search), a framework that combines diffusion generative models with energy-based guidance from machine-learning force fields to search for stable crystal structures. The paper's main experiments target periodic crystal...