diffusion models

Retro-cue Characteristics and Visual Masking Differentially Influence Voluntary and Involuntary Attention

This study examined whether voluntary and involuntary retrospective attention prioritize competing working memory (WM) representations involving low-level perceptual features and high-level semantic categories. In external attention, interactions between attentional voluntariness and representational level have been re...

Spatially resolved reaction–diffusion modeling reveals effects of intracellular spatial heterogeneity on yeast galactose network dynamics

Eukaryotic cells are spatially organized into functionally-distinct compartments. This three-dimensional (3D) organization generates intracellular heterogeneities that can modulate regulatory dynamics. Despite this knowledge of subcellular organization, most quantitative gene-regulation models still assume a well-mixed...

Review of: "Influence Functions for Scalable Data Attribution in Diffusion Models"

DFT training data and fine-tuned MACE model for lithium storage and transport in Cu8B14 monolayers

This dataset accompanies the manuscript “Unraveling Lithium Storage and Defect-Modulated Transport in 2D Copper Boride: From First Principles to Machine-Learned Molecular Dynamics”. The archive contains the DFT-labelled configurations used to fine-tune a MACE-MP-0 interatomic potential for Cu-B-Li systems, including th...

Drug-Dependent Disruption of Amyloid Nanofibril-Mediated Wrinkling in Supraparticle Assemblies

Supraparticles (SPs) are secondary particles formed through nanoparticle self-assembly with porous architectures and bioinspired structural features suitable for drug delivery applications. Although binder-mediated structural control influences SP assembly, how different loaded drugs systematically alter amyloid nanofi...

Cultural SR: SR Cultural Coordination Theory

Cultural SR studies how meanings, norms, and practices are transmitted, stabilized, contested, sanctioned, masked, fragmented, and revised across defined populations and networks. Its unit is a population-network-context over a stated period. The field preserves subgroup composition, network position, institutional exp...

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...

Magnetic Field Enhanced Docosahexaenoic Acid Delivery for Acetylcholine Restoration in Alzheimers Disease an In Silico Study

Alzheimers Disease (AD) is characterised by the progressive depletion of Acetylcholine (ACh), a neurotransmitter essential for cognition and synaptic communication. Docosahexaenoic acid (DHA), the predominant omega 3 polyunsaturated fatty acid in neuronal membranes, raises cerebral ACh and supports cholinergic transmis...

Efficient Attribute-Boosted Diffusion Model for Personalized Sequential Recommendation

MATLAB code for ion cyclotron resonance and diffusion with magnetosonic waves, with drift-Doppler effects included

This MATLAB package calculates finite-time diffusion coefficients for proton interactions with monochromatic magnetosonic waves in a dipole magnetic field. The model uses a single-harmonic, weak-wave approximation and includes gradient–curvature drift in both the wave–particle phase evolution and electromagnetic coupli...

NeuroChrono: Dissociated Neural Encoding with ChronoGate for Brain-to-Video Diffusion

Reconstructing natural video viewed by a subject from non-invasive neural recordings is a challenging problem at the intersection of computational neuroscience and generative modelling. Existing brain-to-video methods encode multi-modal neural signals (typically fMRI together with EEG or MEG) into a single unified brai...

Data and code for effects of persona attribute correlations and network assortativity on information diffusion in large language model simulations

This dataset accompanies the study “Effects of persona attribute correlations and network assortativity on information diffusion in large language model simulations.” The study used synthetic personas and fictional information events to examine how persona attribute dependence and income-group network assortativity aff...