Results 61 to 70 of about 29,508,989 (334)

Wallerian degeneration in central nervous system: dynamic associations between diffusion indices and their underlying pathology. [PDF]

PLoS ONE, 2012
BACKGROUND: Although diffusion tensor imaging has been used to monitor Wallerian degeneration, the exact relationship between the evolution of diffusion indices and its underlying pathology, especially in central nervous system, remains largely unknown ...
Wen Qin, Min Zhang, Yueshan Piao, Deyu Guo, Zixin Zhu, Xin Tian, Kuncheng Li, Chunshui Yu   +7 more
doaj   +1 more source

Generative Auto-bidding via Conditional Diffusion Modeling

Knowledge Discovery and Data Mining
Auto-bidding plays a crucial role in facilitating online advertising by automatically providing bids for advertisers. Reinforcement learning (RL) has gained popularity for auto-bidding.
Jiayan Guo, Y. Huo, Zhilin Zhang, Tianyu Wang, Chuan Yu, Jian Xu, Bo Zheng, Yan Zhang   +7 more
semanticscholar   +1 more source

Random diffusion model

Physical Review E, 2008
We study here the random diffusion model. This is a continuum model for a conserved scalar density field $ϕ$ driven by diffusive dynamics. The interesting feature of the dynamics is that the {\it bare} diffusion coefficient $D$ is density dependent. In the simplest case $D=\bar{D}+D_{1}δϕ$ where $\bar{D}$ is the constant average diffusion constant.
openaire   +3 more sources

Transdermal Drug Delivery: Determining Permeation Parameters Using Tape Stripping and Numerical Modeling

Pharmaceutics, 2022
The function of transdermal drug delivery (TDD) systems is complex due to the multiple layers necessary for controlling the rate of drug release and the interaction with the patient’s skin. In this work, we study a particular aspect of a TDD system, that
Fjola Jonsdottir, Bergthora S. Snorradottir, Skuli Gunnarsson, Elina Georgsdottir, Sven Sigurdsson   +4 more
doaj   +1 more source

HoloDiffusion: Sparse Digital Holographic Reconstruction via Diffusion Modeling

Photonics
In digital holography, reconstructed image quality can be primarily limited due to the inability of a single small aperture sensor to cover the entire field of a hologram.
Liu Zhang, Songyang Gao, Minghao Tong, Yicheng Huang, Zibang Zhang, Wenbo Wan, Qiegen Liu   +6 more
doaj   +1 more source

Modification to solution-diffusion model for performance prediction of nanofiltration of long-alkyl-chain ionic liquids aqueous solutions based on ion cluster

Green Energy & Environment, 2020
Mathematical modeling for nanofiltration of ionic liquids (ILs) solutions could assist to understand transfer mechanism and predict experimental values. In this work, modeling by solution-diffusion model for nanofiltration of long-alkyl-chain ILs aqueous
Jianguo Qian, Ruiyi Yan, Xiaomin Liu, Chunshan Li, Xiangping Zhang   +4 more
doaj   +1 more source

DADM: Denoising and Attention-Driven Diffusion Model for Anomaly Detection

IEEE Access
Anomaly detection is crucial in industrial manufacturing, yet the limited availability of anomaly data restricts the performance of existing methods.
Yu Su, Guodong Wang
doaj   +1 more source

Mirror Diffusion Models

CoRR, 2023
Diffusion models have successfully been applied to generative tasks in various continuous domains. However, applying diffusion to discrete categorical data remains a non-trivial task. Moreover, generation in continuous domains often requires clipping in practice, which motivates the need for a theoretical framework for adapting diffusion to constrained
openaire   +3 more sources

Molecular diffusion under confinement [PDF]

, 2005
With reference to molecular transport in manifold media of porous structure, a survey is given on the ample spectrum of diffusion phenomena under confinement.
Kärger, Jörg
core   +1 more source

Resolving experimental biases in the interpretation of diffusion experiments with a user-friendly numerical reactive transport approach

Scientific Reports, 2023
The reactive transport code CrunchClay was used to derive effective diffusion coefficients (D e ), clay porosities (ε), and adsorption distribution coefficients (K D ) from through-diffusion data while considering accurately the influence of unavoidable ...
Christophe Tournassat, Carl I. Steefel, Patricia M. Fox, Ruth M. Tinnacher   +3 more
doaj   +1 more source