diffusion models

What deep learning can and cannot (yet) do for enzyme design.

Deep learning has substantially advanced structure-based enzyme design, yet reliably creating highly efficient enzymes remains out of reach. One emerging enzyme design strategy combines diffusion-based scaffold generation around active-site models with sequence design. Such structure-based approaches have expanded the...

Multi-Scale Mass Transfer Mechanism and Device Parameter Optimization in TCM Extraction: A Non-Equilibrium Thermodynamic and Fractional Diffusion Approach

Dataset for multi‑scale mass‑transfer modelling of traditional Chinese medicine extraction based on non‑equilibrium thermodynamics and fractional diffusion. Contains experimental extraction kinetic data for *Daphniphyllum calycinum, Astragalus membranaceus, Salvia miltiorrhiza, Pueraria lobata*, porosity‑permeability v...

Airflow velocity attenuation characteristics and a zoned dust control method in ventilation for drill-and-blast construction of V-shaped cross-sea tunnels

To address the problem of low dust removal efficiency in long-distance forced ventilation during drill-and-blast excavation of V-shaped subsea tunnels, which is caused by air leakage, along-path frictional resistance, and longitudinal slopes, this study takes the Qiongzhou Strait subsea tunnel project as the engineerin...

(Quantum)Annihilation Field Universe Model: From Particle Emergence to Cumulative Redshift

(Quantum) Annihilation Field Universe Model: From Particle Emergence to Cumulative Redshift Abstract This paper proposes an annihilation field universe model. The annihilation field is the core concept of this paper—a fundamental field in vacuum that forms localized excitations under the boundary conditions of quantum...

Permission as a Variable: Why the same robot pays off in one plant and fails in another

Projects that install the same robot model report labor-productivity gains an order of magnitude apart. Studies of robot adoption stop at the firm or the plant, so the gap between two plants with the same robot sits below the level they measure. Engineering studies stop at the machine. The missing variable sits between...

A Grid of Contribution Functions to Help the Interpretation of Time-resolved Observations of Brown Dwarfs

Abstract We present a grid of thermal emission contribution functions and their corresponding atmospheric spectra model for cloudy and cloud-free brown dwarfs, spanning effective temperatures T eff ∈ [500, 2000][K], surface gravities log g = [ 3.5 , 5.5 ] [cgs], sedimentation efficiencies f sed = 1, 2, 3, 4, and 8, and...

Code and records for "Passing NPCR Without Diffusion: Exact Signatures, a Detection Benchmark and an Audit of Published Image Ciphers"

Version 2.0 adds the code, records and technical report behind the manuscript "Passing NPCR Without Diffusion: Exact Signatures, a Detection Benchmark and an Audit of Published Image Ciphers". Version 1.0 (the XCM-IC cipher, its test vectors, preregistrations, execution freeze, Tier A and battery records) is kept uncha...

Diffusion Transformers for Roof Graph Synthesis and Reconstruction

Quasiperiodic Eruptions from Recurrent Satellite Black Hole Transits through Magnetized Galactic Nucleus Accretion Disks

Abstract Quasiperiodic eruptions (QPEs) are recurrent soft X-ray flares from galactic nuclei, but their origin remains uncertain. The delayed ultraviolet (UV) counterpart detected in ZTF19acnskyy provides a new constraint on viable models. We present a two-channel model in which a satellite black hole (sBH) repeatedly...

Leveraging LiDAR Datasets to Improve SAR Tomography: a Diffusion Model Approach

Hierarchical Priors in Perceptual Uncertainty and Psychosis Proneness - A Random-Dot Kinematogram task with low- and high-level priors

EEG-BIDS dataset of cue-locked EEG recordings and event annotations from 43 neurotypical adults performing a random-dot kinematogram motion discrimination task. The task dissociates low-level priors (implicitly learned tone-motion contingencies) from high-level priors (a cover story about tinted glasses) against a neut...

Can we dissociate hypervigilance to social threats from altered perceptual decision-making processes in lonely individuals? An exploration with Drift Diffusion Modelling and event-related potentials.

EEG dataset examining whether hypervigilance to social threats in lonely individuals can be dissociated from altered perceptual decision-making. Behavioral data were analysed with Drift Diffusion Modelling and neural responses with event-related potentials. The dataset accompanies a Psychophysiology article on loneline...