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In Section 6, we present system-level simulation results that evaluate the performance of the distributed algorithms and moreover investigate simpler scenarios to compare these to the centralized and the optimal baselines.
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As a result, DD observations are normally formed in each system or their inter-system ambiguities are left unresolved, which could not be regarded as the optimal baseline processing methods for multi-GNSS.
Data analyses were performed according to the comparative Ct method using the Applied Biosystems Real Time software, which automatically determines the optimal baseline and threshold settings via the auto Ct determination feature.
Additional work is needed to investigate the potential benefits of using a HMM structure of longer than 7 days, and the factors which determine the optimal baseline period for monitoring; including baseline characteristics such as periodicity, and disease-specific factors such as generation time.
Using the same microarray data set for our analysis, we have compared the gene expression profiles of prostate cancer, normal appearing prostate tissue adjacent to tumor, and normal appearing prostate tissue from cancer free tissue donors with the aim of identifying the optimal baseline tissue for expression studies and the gene expression changes between the three specimen types.
Differentially expressed long non-coding RNAs were not identified from tumor adjacent normal tissues vs. tumor tissues but were identified only when tumor tissues were compared with reduction mammoplasty specimens, further suggesting that reduction mammoplasty specimens may be the optimal baseline tissue [ 30].
The methods investigated in the comparison are the following: optimal baseline selection approach, the damage index based on a signal alignment with respect to instantaneous phase, and a group measurement approach capable of distinguishing local damage-related changes from temperature-induced global ones.
A homeostatic function of the prefrontal cortex is suggested to maintain optimal baseline (tonic) firing rates that ensure appropriate sensitivity for the future detection of prediction errors.
The strips were stretched to an optimal baseline tension of 5 mN and allowed to equilibrate for 60 min prior to experimentation.
The absolute cycle threshold (Ct) values at the same DNA concentration were compared at optimal baseline and threshold settings for all detection chemistries.
The arterial segments were stretched to an optimal baseline tension and then allowed to equilibrate for one hour before being contracted with 60 mmol/L KCl and rinsed in Krebs solution.
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