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This paper builds on previous work, suggesting that two additional parameters are helpful in controlling complexity: the relative scale of higher order and lower order epistatic effects, and the correlation of higher order and lower order effects.
These two parameters are helpful to determine the topology of protein [ 76, 77].
In particular post-operative physiological parameters are helpful in identifying abdominal sepsis patients in need of a relaparotomy rather than peritonitis and operative characteristics [ 14].
Although systems of evaluation based on clinical observations and physiologic parameters are helpful, they have been of limited use for predicting morbidity and mortality in individuals with inflammatory conditions, especially in surgical populations [ 6, 7, 8, 9, 10].
We examined if clinical parameters are helpful for predicting the time to next relapse by 1) evaluating the performance of a FLP and FTP predictors that are based only on these parameters, and 2) examining if these variables can improve the performances of our predictors.
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The present study shows that optimization of the operating parameters is helpful for designing FTIJs.
However, increasing the interaction parameters is helpful to facilitate phase separation.
Either increasing birdsong loudness or enhancing visibility of the green areas by controlling urban morphological parameters is helpful for the optimisation of soundscape design with masking effects.
Furthermore, a precise estimation of these parameters is helpful to attain a better pulse descriptor word (PDW) and thus enhances the system performance.
In that respect, concerted evaluation of clinical and pathological parameters is helpful to obtain a precise diagnosis.
In many cases knowledge of electrolyte or blood gas parameters was helpful, but indicated that no therapy was needed.
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