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In 1995, 360 freshly cut Douglas-fir logs were randomly assigned to 5 replicate sites, with 12 heterotrophic colonization × moisture treatment combinations at each site.
A central rotatable composite design was used which consisted of 18 treatment combinations at each of three heating temperatures (52, 54 and 56°C).
3.2 was performed instead, increasing the temporal coherence of the estimate with the wDAG using M = 5 combinations at each layer.
Building the wDAG for all possible combinations at all frames could be computationally intractable, but considering only the M most likely combinations at each frame keeps almost the same runtime than without performing tracking for small values of M. Initial experiments were done using a data set of random mixtures to perform a first evaluation and set up the parameters.
The vertices are organized in layers (see Figure 8), in such a way that all vertices in a given layer have the same value for t v) = τ, and they represent the M most likely combinations at a time frame τ. Figure 8 Layered wDAG example for M = 3 combinations at each time.
This probe has 4 source and 8 detector positions providing 15 measurement combinations at each of the two wavelengths (690nm and 830nm).
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Some automatic cameras simplify this by selecting just one such combination at each exposure level (program automation).
Bottom: 3D temporal representation of l ̃ ( c ′ ( t ) ) for the candidates of the winner combination at each frame.
The structure of the ranging channel receiver shown in Figure 1 provides a diversity gain in both ranging code detection and propagation delay estimation because the detection variable is obtained through a noncoherent combination at each antenna path.
The forgetting factor, 0≤λ e ≤1, is user defined and, along with normalization by the total error, e T [ i], and ({sum ^{3}_{n=1}}rho _{n}[!0]=1), ensures ({sum ^{3}_{n=1}}rho _{n}[!i]=1) and a convex combination at each time instant.
Defining the decoding delay at a device as the number of non-instantly decodable packets received by that device, the authors propose an algorithm that selects the optimal device to transmit the optimal packet combination at each time step of the recovery phase in order to reduce the maximum decoding delay.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com