PG coded all transcripts using a coding index based on concepts identified after reading and re-reading the transcripts.
After familiarization, recurring themes and ideas were identified and a coding index was then developed with themes subsequently sorted into broader categories and key themes.
Figure 17 (a-b) Precision (a, top) and code index (b, bottom) of top classifications of 12 organisms obtained by best of Codes 1-16 (dark blue), Code 10 (light blue), Code 13 (yellow), and Code 17 (red).
Figure 8 (a-b) Precision (a, top) and code index (b, bottom) of top classifications of 13 long sequence sets obtained by best of Codes 1-16 (dark blue), Code 10 (light blue), Code 13 (yellow), and Code 17 (red).
Figure 6 (a-b) Precision (a, top) and code index (b, bottom) of top classifications of 13 short sequence sets obtained by best of Codes 1-16 (dark blue), Code 10 (light blue), Code 13 (yellow), and Code 17 (red).
Then, each codeword in the VLC and FLC (if the FLC code space is not full) table is assigned a fixed length code index, when we want to encrypt the concatenation of some VLC (or FLC) codewords, only the indices are encrypted (using DES).
Each of the four sub-column precision values shown in Figure 6 (a, top) corresponds to a top classification with its code index, window length index, threshold index, and threshold value displayed, respectively, in Figures 6 (b, bottom) and Figure 7 (a-c).
For the twelve organisms, Figures 17 a-b) plot precision (a, top) and the corresponding code index (b, bottom); and Figure 17 a-b) plot window length index (a, toprecisionhold index (b, middle), and topeshold vande (c, bothem) of the top correspondingns obtained.
Let us define a k = [ t k f k ] T as a two-tuple for the code index pair of the kth user where t k ∈ [ 0,C T ) is the code index at the timing offset domain and f k ∈ [ 0,C F ) is the one at the frequency offset domain, respectively. The tuple a k is chosen from the whole code index pair set, i.e.e.e
(b) Removal of identifiers from data and separate maintenance of a name-code index in a secure location.
In the resulting code, index jumps can be totally avoided, which leads to an asymptotically optimal spatial and temporal locality of the data access.
