Presentation is loading. Please wait.

Presentation is loading. Please wait.

(A) Communication fluxes PS(T|r′) conditional to the rank r′ for dataset D3. (A) Communication fluxes PS(T|r′) conditional to the rank r′ for dataset D3.

Published byRebecca Arnesen Modified over 5 years ago

Similar presentations

Presentation on theme: "(A) Communication fluxes PS(T|r′) conditional to the rank r′ for dataset D3. (A) Communication fluxes PS(T|r′) conditional to the rank r′ for dataset D3."— Presentation transcript:

1 (A) Communication fluxes PS(T|r′) conditional to the rank r′ for dataset D3.
(A) Communication fluxes PS(T|r′) conditional to the rank r′ for dataset D3. (B) Mobility fluxes PM(T|r′) conditional to the rank r′ for dataset D3. (C) Mobility and communication fluxes, denoted by circles and squares, respectively, collapse after rescaled by 〈T〉 for dataset D3 for the rank-based distance. (D) Communication fluxes PS(T|r) conditional to the distance r for dataset D3. (E) Mobility fluxes PM(T|r) conditional to the distance r for dataset D3. (F) Mobility and communication fluxes, denoted by circles and squares, respectively, collapse after rescaled by 〈T〉 for dataset D3 for the geodesic distance. Pierre Deville et al. PNAS 2016;113: ©2016 by National Academy of Sciences

Download ppt "(A) Communication fluxes PS(T|r′) conditional to the rank r′ for dataset D3. (A) Communication fluxes PS(T|r′) conditional to the rank r′ for dataset D3."

Similar presentations

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.
$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.
Math 71 10.1 – Distance and Midpoint Formulas; Circles 1.

Math – Distance and Midpoint Formulas; Circles 1.
COMMUNICATION.

COMMUNICATION.
Comparison (θ) of the mean dinucleotide variability distribution for (A) genes with MAE vs. Comparison (θ) of the mean dinucleotide variability distribution.

Comparison (θ) of the mean dinucleotide variability distribution for (A) genes with MAE vs. Comparison (θ) of the mean dinucleotide variability distribution.
Comparison (R) of the mean observed to expected dinucleotide distribution for (A) genes with MAE vs. Comparison (R) of the mean observed to expected dinucleotide.

Comparison (R) of the mean observed to expected dinucleotide distribution for (A) genes with MAE vs. Comparison (R) of the mean observed to expected dinucleotide.
Unit cell lengths (dL and aH) for increasing monovalent salt concentrations. Unit cell lengths (dL and aH) for increasing monovalent salt concentrations.

Unit cell lengths (dL and aH) for increasing monovalent salt concentrations. Unit cell lengths (dL and aH) for increasing monovalent salt concentrations.
O. nubilalis damage and insecticide usage in Mid-Atlantic vegetable crops (1980–2017) and their relationship with Bt adoption. O. nubilalis damage and.

O. nubilalis damage and insecticide usage in Mid-Atlantic vegetable crops (1980–2017) and their relationship with Bt adoption. O. nubilalis damage and.
Unit cell lengths at increasing divalent salt concentrations.

Unit cell lengths at increasing divalent salt concentrations.
(A) Heat map showing expression changes during in vitro differentiation of nscs to astrocytes. (A) Heat map showing expression changes during in vitro.

(A) Heat map showing expression changes during in vitro differentiation of nscs to astrocytes. (A) Heat map showing expression changes during in vitro.
فرایند تسهیلگری در مددکاری جامعه ای

فرایند تسهیلگری در مددکاری جامعه ای
Model structure. Model structure. (A) Visualization of the multiplex network representing a subsample of 10,000 individuals of the synthetic population.

Model structure. Model structure. (A) Visualization of the multiplex network representing a subsample of 10,000 individuals of the synthetic population.
The mechanisms that regulate systemic resilience in humans and animals

The mechanisms that regulate systemic resilience in humans and animals
Schematic representation of possible effects of different factors on systemic resilience. Schematic representation of possible effects of different factors.

Schematic representation of possible effects of different factors on systemic resilience. Schematic representation of possible effects of different factors.
The evolution of WCI for biological specificity makes organisms more evolvable. The evolution of WCI for biological specificity makes organisms more evolvable.

The evolution of WCI for biological specificity makes organisms more evolvable. The evolution of WCI for biological specificity makes organisms more evolvable.
Cell-type–specific ERV expression in primary cells.

Cell-type–specific ERV expression in primary cells.
Deep neural networks (DNNs) can successfully identify, count, and describe animals in camera-trap images. Deep neural networks (DNNs) can successfully.

Deep neural networks (DNNs) can successfully identify, count, and describe animals in camera-trap images. Deep neural networks (DNNs) can successfully.
High-denisty DOT system.

High-denisty DOT system.
Principal component analysis of the GO category composition of all genes in each genome/transcriptome and WGD paralogs. Principal component analysis of.

Principal component analysis of the GO category composition of all genes in each genome/transcriptome and WGD paralogs. Principal component analysis of.
Variance priming for spatially nonoverlapping prime–target pairs.

Variance priming for spatially nonoverlapping prime–target pairs.

Similar presentations

Ads by Google