Results 91 to 100 of about 2,118,011 (294)

Learning Information Spread in Content Networks

, 2013
We introduce a model for predicting the diffusion of content information on social media. When propagation is usually modeled on discrete graph structures, we introduce here a continuous diffusion model, where nodes in a diffusion cascade are projected ...
Bourigault, Simon, Denoyer, Ludovic, Gallinari, Patrick, Lagnier, Cédric, Lamprier, Sylvain   +4 more
core   +2 more sources

LINEAR‐QUADRATIC JUMP‐DIFFUSION MODELING

Mathematical Finance, 2007
We aim at accommodating the existing affine jump‐diffusion and quadratic models under the same roof, namely the linear‐quadratic jump‐diffusion (LQJD) class. We give a complete characterization of the dynamics of this class by stating explicitly the structural constraints, as well as the admissibility conditions.
Cheng, Peng, Scaillet, Olivier
openaire   +4 more sources

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

FEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source

SoundCrafter: Bridging text and Sound with a diffusion model

Applied Computer Science
Text-to-sound systems have recently attracted interest for their ability to synthesize common sounds from textual descriptions. However, previous research on sound generation has shown limited generation quality and increased computational complexity. We
Haitham ALHAJI, Alaa Yaseen TAQA
doaj   +1 more source

Nonlinear diffusion effects on biological population spatial patterns

, 2012
Motivated by the observation that anomalous diffusion is a realistic feature in the dynamics of biological populations, we investigate its implications in a paradigmatic model for the evolution of a single species density $u(x,t)$.
Anteneodo, Celia, Colombo, Eduardo H.
core   +1 more source

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

FEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

FedDrip: Federated Learning With Diffusion-Generated Synthetic Image

IEEE Access
In the realm of machine learning in healthcare, federated learning (FL) is often recognized as a practical solution for addressing issues related to data privacy and data distribution.
Karin Huangsuwan, Timothy Liu, Simon See, Aik Beng Ng, Peerapon Vateekul   +4 more
doaj   +1 more source

BMI‐1 modulation and trafficking during M phase in diffuse intrinsic pontine glioma

FEBS Open Bio, EarlyView.
The schematic illustrates BMI‐1 phosphorylation during M phase, which triggers its translocation from the nucleus to the cytoplasm. In cycling cells, BMI‐1 functions within the PRC1 complex to mediate H2A K119 monoubiquitination. Following PTC596‐induced M phase arrest, phosphorylated BMI‐1 dissociates from PRC1 and is exported to the cytoplasm via its
Banlanjo Umaru, Deepak Kumar Mishra, Shiva Senthil Kumar, Hao‐Han Pang, Brendan Devine, Komal Khan, Rachid Drissi   +6 more
wiley   +1 more source

Deepfakes in Visual Art: Differentiating AI-Generated Art From Human Art Using Convolutional Neural Networks (CNN)

IEEE Access
As AI technology evolves, seeing is not believing. The boundary between human and machine creativity is increasingly blurred, presenting challenges for the art industry.
Ngonidzashe Tinago, Silas Formunyuy Verkijika, Kelibone Eva Mamabolo   +2 more
doaj   +1 more source

Diffusion in a multi-component Lattice Boltzmann Equation model

, 1996
Diffusion phenomena in a multiple component lattice Boltzmann Equation (LBE) model are discussed in detail. The mass fluxes associated with different mechanical driving forces are obtained using a Chapman-Enskog analysis.
A. K. Gunstensen, C. Appert, D. H. Rothman, D. O. Martínez, E. G. Flekko/y, E. G. Flekko/y, Gary Doolen, H. Chen, P. L. Bhatnagar, R. B. Bird, R. Benzi, R. Holme, S. Chapman, S. Hou, S. Wolfram, U. Frisch, X. Shan, X. Shan, X. Shan, Xiaowen Shan, Y. H. Qian   +20 more
core   +2 more sources