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Using this matched-annotation set, we found that all methods attained a similar proportion of matched-term trait; the higher the correlation between traits the higher the proportion of matched terms, as expected.
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The total capacity loss of lithium-ion secondary cell is reduced by engineering the pitch-based carbon anode through one or more of the following methods: attaining a high degree of graphitization, minimizing the surface oxygen concentration, attaining a large crystal size Lc, degassing, and use of PVDF in place of teflon as the binder.
Cross-validated on >100k experimentally annotated variants, SNAP2 significantly outperformed other methods, attaining a two-state accuracy (effect/neutral) of 83%.
Our results show that INTREPID has significantly superior accuracy than each of these methods, attaining a sensitivity of 85% at 90% specificity (in contrast. ET and ConSurf attain sensitivities of 70%and74%4%, respectively at the same specificity) and attaining a recall of about 64% at 10% precision (in contrast neither ET nor ConSurf attain a precision >10%).
The overall results showed that their proposed method attained a substantially higher degree of efficacy.
As a result the proposed method attained a maximum recognition accuracy of 98.89%.
The proposed method attained an analytical frequency of 36 determinations per hour with a relative standard deviation of 1.47% for 10 measurements of 1.0 × 10−5 mol L−1 CO.
The method attains a better trade-off between privacy and utility.
This method attains a speed of more than 20,000 comparisons per second, which makes screenings across large datasets and even entire databases easily feasible.
For larger BERs, the UEP method attains a maximum of about 5%% probability of no decoding, whereas the EEP method failure probability is an order of magnitude higher and grows up to 80%%. Figure 11 shows two decompressed frames (frames no. 6 and 360) obtained during the transmission on a channel with an error rate of P S =7×10−2 (P b =3.5×10−2).
The figure shows that the overall performance of all CS-based methods has improved in comparison to results in Fig. 3 where the ULA with 30 sensors using S-OMP method attains an error of 3.54° at SNR = 30 dB, while with NLA60,30, an error limit is 1.44° at the same SNR.
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