diffusion models

Are X-Ray Atmospheres Heated by Turbulent Dissipation? XRISM Constraints

Abstract We evaluate whether dissipation of turbulence injected into hot cluster atmospheres by jets and bubbles can offset radiative cooling flows. No trends are found between atmospheric velocity dispersion, σ v , and either the ratio of kinetic to thermal energy or jet power over nearly four decades of jet power. Ap...

The Physical Impossibility of Quantum Computational Speedup

The Physical Impossibility of Quantum Computational Speedup: Two Independent Arguments from Quantum-Geometry Dynamics Quantum computing promises computational advantages that are, in the most celebrated cases, exponential. Shor's algorithm factors integers exponentially faster than the best known classical algorithm; G...

Impact of Realistic Detector Response and Azimuthal Drift on the Quantification of Energetic Electron Precipitation using POES/MetOp

Drift-Diffusion model outputs and its derivative products used in this study are included here as a part of data avaliability for the publication to appear in Geophysical Research Letters. For this study, analaysis was performed in Python, and the data output are in formats of .txt and .pickle, which can be easily pars...

To Create a Stone with Six Birds: Emergent Geometric and Thermodynamic Regimes from a Minimal Stochastic Substrate

How much macroscopic regularity can a random Markov chain acquire when it is allowed to rewrite itself using only a small set of closure operations? We study this question in a minimal stochastic substrate: a random transition kernel on n states that is repeatedly rewritten, gated and reorganized by six primitive opera...

UFD: The Base Motion Without Physics. A Corrective Edition

UFD v2.0 is a corrective edition of UFD. It withdraws every physical claim of v1.0, v1.1 and v1.2 (2025): particles, mass, quantization, physical constants, gravity and the unification of physical theories are no longer claimed, and no symbol has a physical reading. What remains is a short mathematical text. It states...

UFD: The Base Motion Without Physics. A Corrective Edition

UFD v2.0 is a corrective edition of UFD. It withdraws every physical claim of v1.0, v1.1 and v1.2 (2025): particles, mass, quantization, physical constants, gravity and the unification of physical theories are no longer claimed, and no symbol has a physical reading. What remains is a short mathematical text. It states...

Axial Excitation-Energy Transport and Inter-Tube Hopping in Microtubules: A Falsifiable Experimental Framework for Molecular Transport, Crosstalk, ELF Modulation, and Array Feasibility

Polymerized microtubules contain ordered aromatic residues capable of supporting electronic excitation migration, but the directionality, range, and engineering usefulness of that transport remain unknown. This manuscript presents a falsifiable experimental framework for testing preferential axial excitation-energy tra...

Impact of fear effect and additional food on the spatio-temporal dynamics of a predator–prey system incorporating nonlinear harvesting

Slice‐Wise Quality Assessment of High b Value Breast DWI via Deep Learning‐Based Artifact Detection

BACKGROUND: Diffusion-weighted imaging (DWI) can support lesion detection and characterization in breast MRI. Therefore, DWI is increasingly being incorporated into breast MRI protocols to address some of the shortcomings of routine clinical breast MRI. However, especially high b value DWI can be prone to intensity art...

A cellular automata framework to study the diffusion in single and binary solvent systems

Abstract In this work, we present a two-dimensional cellular automata (CA) model to study mass transfer by diffusion of molecules in single and binary solvent systems. The method builds on Vanag’s probabilistic cellular automata (PCA), where diffusion is simulated through stochastic exchange of molecules between neighb...

Drugging the Undruggable in Oncology: Structural Computation, Machine Learning, and Generative AI for Historically Intractable Targets

For four decades the central oncogenic drivers of human cancer the RAS GTPases, the transcription-factor MYC, mutant p53, and the protein-tyrosine phosphatases, fusion oncoproteins and intrinsically disordered regulators that surround them were regarded as undruggable: lacking deep, well-defined small-molecule binding...

Reinforcement learning–coupled neural ode modelling reveals ferroptotic resolution failure as a shared dynamical axis linking periodontitis and coronary atherogenesis

The molecular axis underlying the epidemiologically established association between periodontitis and coronary heart disease (CHD) remains undefined at mechanistic, systems-level resolution. Classical comparative transcriptomics captures correlational gene lists but cannot reconstruct directional disease-state dynamics...