What does this mean quick response or adjustment to variation in the environment or technology?
Circadian rhythms are biological oscillations entrained by the environmental light/dark cycle, and the regulatory and metabolic networks that direct the body's adjustments to variations of external and internal environment (Anderson et al., 2013).
No adjustments to variation in mode or time of data collection were made.
The number of pregnant women living with HIV is based on HIV prevalence in the general female population, age-specific fertility rates and an age-specific adjustment to reflect variations in fertility among HIV+ and HIV− women.
The growing period is long in most of the subtropical and mild temperate zones, facilitating reed plants to obtain all the essential adjustments to the variations in temperature, soil nutrients and available oxygen (wetlands) together with certain physiological features such as transpiration rates in connection to the seasonal variations (Haslam 1972).
However, the observational intensity biases of the standard indices could be reduced through a statistical adjustment to correct for variation in visit rates.
Adjustment to allow for the variation in each of the other prognostic factors and for a combination of age, symptoms and histology still showed a significant trend of survival on the basis of atopic status.
The reason for doing so was the well-supported hypothesis that age-related variations of adjustment to visuo-motor rotations are due to differences in the acquisition of explicit knowledge and/or in the use of strategic corrections based on this knowledge [11] [14], [16].
Compared to the conventional total SMC (TSMC) and PI strategies, the estimator-based ASMC strategy has over 37% and 50% settling-time improvement of current adjustment to deal with the load variation, respectively.
The relative contribution of each step of adjustment to the overall reduction in variation in hospital caesarean section rates was quantified by calculating the difference between the hospital variation of the current and preceding models as a proportion of the unadjusted model's hospital variation.
The accuracy of many algorithms significantly relies on well hand-tuned parameter adjustments to account for variations in noise [1 3].
