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Although heart rate variability parameters reflect in theory more closely sympathovagal balance compared to cortisol levels, great care has to be taken regarding the use of appropriate time-frames, appropriate raw data correction methods as well as the use of appropriate equipment.
Three different data correction methods were applied.
By means of all data correction methods, Staphylococcus epidermidis and Staphylococcus aureus were the most common organisms.
Table 2 and Table 3 show the difference of proportions obtained by the different data correction methods as well as the results of significance testing for possible skin contaminants and obligate pathogens, respectively.
The objective of our study was to clarify the influence of different crude data correction methods on a) microbial spectrum and ranking of pathogens, and b) cumulative antimicrobial susceptibility pattern of blood culture isolates obtained from patients from intensive care units (ICUs) using a computer based tool, MONI.
Based on these considerations, the objective of our study was to clarify the influence of different crude data correction methods on a) microbial spectrum and ranking of pathogens, and b) cumulative antimicrobial susceptibility pattern of blood culture isolates obtained from patients from intensive care units (ICUs).
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Considering an empirical cut-off level of ≥ 20% of resistant organisms to an antibiotic as limit for appropriateness of this agent for empirical therapy of infection caused by gram-negative organisms, no data correction method would have yielded a different recommendation for empirical therapy.
The primary benefit of using memory based look-up table (LUT) FSM is that well established data error correction methods can be applied to protect the FSM behavior, even in the event of single error events (SEE).
In addition, it is possible that the above-described RTT differences occurred due to differences such as header and trailer sizes associated with the data, error correction method, and retransmission protocol in Wi-Fi Direct and Bluetooth.
In this paper, we introduce data correction and analysis methods for obtaining the degree of hydration from the 3-μm band of the reflectance spectra of carbonaceous chondrites measured by NIRS3 as its prelaunch test.
Noticing that in real applications, it is not necessary to embed large data, the error correction methods should be integrated into the system to improve CDR in the future.
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CEO of Professional Science Editing for Scientists @ prosciediting.com