Sheng at al. [11] designed a method based on Bayes model to predict the mean load over a long-term time interval.
When rapid pacing was sustained, LAP continued to climb with intracardiac fluid volume, and ultimately fluid volumes within the intrathoracic space were gradually increasing, which resulted in a strong correlation with LAP over a long-term time interval.
The adopted short-term throughout prerequisites inherent attribute of fulfilling the requested data rate of an RT user within short-term time intervals, instead of converging to it within long-term intervals (as in [16 18]), allows the efficient support of both CBR and VBR traffic.
More studies are needed not only to be with larger sample size but also to find the molecular, cellular basis and the long term study with time interval.
In practice, audio signals are usually divided into a series of time intervals (often referred to as 'frames') due to their long-term time-varying property, and over a specified frame they are assumed to be stationary.
In this study, we conducted long-term time-lapse observation of dendrite formation of Purkinje cells in culture, for up to several days with short time intervals.
In this method, a semi-implicit scheme is used for the time integration of the vertical diffusion terms and terms including the water level, and an explicit scheme is used for the other terms to allow a long time interval.
–On average, how long is the time interval between manufacture, consumer use, and disposal?
A long-term diagnostic interval time (median 32.4 months) from the diagnosis of the first neoplasm to the subsequent tumor presumably influenced the impact efficiency of treatment options for HCC on overall survival.
Therefore, we analyzed short (1 day), medium (7 and 15 days), and long-term (30 days) time intervals in order to encompass the different types of software development tasks performed by developers.
✓The results depict consistency between model predictions and experimental data at short and long time intervals, indicating that our modeling approach can predict short- and long-term pharmacokinetic behavior of nanodrugs in biological systems.
