Sentence examples for a joint function of from inspiring English sources

These findings suggest that bilingual reading acquisition is a joint function of shared phonological processes and orthographic specific skills.

Ultimately, the stability of a control system will be a joint function of observability and controllability.

Figure 3 shows the simultaneous representation of the variance and correlation functions for WC, demonstrating that GxTDEE interaction for WC is a joint function of genetic variance heterogeneity and a genetic correlation different than one.

Finally, we estimate a model where consumers' intentions to use the health recommendation system are a joint function of the options in each domain as well as the consumers' cost-benefit evaluations.

Our sensitivity maps (Figs. 6 and 7) and related surface plot (Fig. 8) show that our ability to detect activation is not simply a matter of magnitude but a joint function of magnitude and spatial extent.

The 1-year and 2-year probability of initiating daily smoking was a joint function of seven individual characteristics: age; ever smoked; ever felt like you needed a cigarette; parent(s) smoke; sibling(s) smoke; friend(s) smoke; and ever drank alcohol.

With a respective incidence of 4 10, 10 and 2.4 per 100,000 person-year, septic arthritis, osteomyelitis and vertebral osteomyelitis are associated with a mortality rate of 2-10%, and a risk of permanent loss of joint function of 40% [ 2, 3].

Thus both (prediction and attention) have the joint function of aiding perception, yet they are rarely considered together.

Therefore, we translate the cost function and constraints into a joint likelihood function of a probabilistic graphical model and apply a belief propagation algorithm to find a (approximate) maximum-likelihood solution of the model.

The Temp term modeled the effect of temperature as a joint smooth function of both the January minimum and July maximum temperatures, while the Location term modeled the effect of geographic location as a joint smooth function of latitude and longitude, independently within the modern and the historical samples.

The covariance matrix is approximated using a joint likelihood function of hidden states and measurements, and a combination of state filters and smoothers.