Results 61 to 70 of about 5,000,249 (354)

Correction: Lee, T. R., et al. On the Use of Rotary-Wing Aircraft to Sample Near-Surface Thermodynamic Fields: Results from Recent Field Campaigns. Sensors 2019, 19(1), 10

Sensors, 2019
The authors wish to make the following correction to this paper [...]
Temple R. Lee, Michael Buban, Edward Dumas, C. Bruce Baker   +3 more
doaj   +1 more source

Fast reaction limit of reaction diffusion systems with nonlinear diffusion [PDF]

arXiv, 2022
In this paper, we present an approach to characterising fast-reaction limits of systems with nonlinear diffusion, when there are either two reaction-diffusion equations, or one reaction-diffusion equation and one ordinary differential equation, on unbounded domains.
arxiv  

Diffusion-Reorganized Aggregates: Attractors in Diffusion Processes?

, 2000
A process based on particle evaporation, diffusion and redeposition is applied iteratively to a two-dimensional object of arbitrary shape. The evolution spontaneously transforms the object morphology, converging to branched structures.
B. Sapoval, Bernard Sapoval, L. Pietronero, L. S. Lucena, M. Filoche, M. Filoche, Marcel Filoche, P. Bak, P. Bak, P. Meakin, R. Botet, R. Wessel, S. You, T. C. Halsey, T. C. Halsey, T. Vicsek, T. Witten   +16 more
core   +1 more source

Editorial for the Special Issue “Understanding Biosphere–Atmosphere Interactions with Remote Sensing”

Remote Sensing, 2023
The terrestrial biosphere interacts with the free atmosphere through the exchange of momentum, energy and mass [...]
Praveena Krishnan, Shusen Wang
doaj   +1 more source

Context-guided diffusion for label propagation on graphs [PDF]

, 2016
Existing approaches for diffusion on graphs, e.g., for label propagation, are mainly focused on isotropic diffusion, which is induced by the commonly-used graph Laplacian regularizer. Inspired by the success of diffusivity tensors for anisotropic diffusion in image processing, we presents anisotropic diffusion on graphs and the corresponding label ...
arxiv   +1 more source

Causal diffusion and its backwards diffusion problem

, 2012
This article starts over the backwards diffusion problem by replacing the \emph{noncausal} diffusion equation, the direct problem, by the \emph{causal} diffusion model developed in \cite{Kow11} for the case of constant diffusion speed.
Ahmadizadeh, Alt, Ammari, Ammari, Ammari, Ammari, Bronstein, Dorn, Elayyan, Engl, Gasquet, Griebel, Gryazin, Guichard, Hetrick, Heuser, Hörmander, Isakov, Isakov, Isakov, Kirsch, Kowar, Louis, Markel, Natterer, Richard Kowar, Sapiro, Scherzer, Storch, Wei, Weickert   +30 more
core   +1 more source

On the Use of Rotary-Wing Aircraft to Sample Near-Surface Thermodynamic Fields: Results from Recent Field Campaigns

Sensors, 2018
Rotary-wing small unmanned aircraft systems (sUAS) are increasingly being used for sampling thermodynamic and chemical properties of the Earth’s atmospheric boundary layer (ABL) because of their ability to measure at high spatial and temporal ...
Temple R. Lee, Michael Buban, Edward Dumas, C. Bruce Baker   +3 more
doaj   +1 more source

Arctic regional methane fluxes by ecotope as derived using eddy covariance from a low-flying aircraft [PDF]

Atmospheric Chemistry and Physics, 2017
The Arctic terrestrial and sub-sea permafrost region contains approximately 30 % of the global carbon stock, and therefore understanding Arctic methane emissions and how they might change with a changing climate is important for quantifying the global
D. S. Sayres, R. Dobosy, R. Dobosy, C. Healy, E. Dumas, E. Dumas, J. Kochendorfer, J. Munster, J. Wilkerson, B. Baker, J. G. Anderson, J. G. Anderson, J. G. Anderson   +12 more
doaj   +1 more source

Laterality and Sex Differences of Human Lateral Habenula Afferent and Efferent Fiber Tracts

Frontiers in Neuroscience, 2022
IntroductionThe lateral habenula (LHb) is an epithalamic nucleus associated with negative valence and affective disorders. It receives input via the stria medullaris (SM) and sends output via the fasciculus retroflexus (FR).
Frederick L. Hitti, Drew Parker, Andrew I. Yang, Steven Brem, Ragini Verma, Ragini Verma   +5 more
doaj   +1 more source

Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions [PDF]

arXiv, 2023
Diffusion-based generative models (DBGMs) perturb data to a target noise distribution and reverse this process to generate samples. The choice of noising process, or inference diffusion process, affects both likelihoods and sample quality. For example, extending the inference process with auxiliary variables leads to improved sample quality.
arxiv