Sentence examples for network turnover from inspiring English sources

At CBS, an American broadcast network, turnover from ads rose from $4 billion to $4.5 billion in the same period.

In this competition for actin, we assume that tropomyosin, once bound, stays attached on the time scale of network turnover, in compliance with biochemical experiments [38].

While tropomyosin is assumed to stay bound in the time scale of network turnover, we assign an unbinding rate rac− of ADF/cofilin to account for its deactivation by, e.g., LIM kinases [37].

An increase in tropomyosin activity, just as a decrease in ADF/cofilin activity, results in a shortening of the lamellipodial zone, a slowdown of array treadmilling (kinematics and network turnover), and an increased fraction of polymerized actin.

Higher network turnover is obtained by replacing a random sample of 10% of all contacts annually.

In a sensitivity analysis this "repair mechanism" is only performed annually instead of daily (resulting in lower network turnover); or an additional random percentage of contacts is removed and replaced by new random contacts (resulting in higher network turnover).

DOI: http://dx.doi.org/10.7554/eLife.06126.027 In addition to vectorial actin polymerization at focal adhesions, actin filaments within the stress fiber network undergo turnover with a half-life of an approximately one minute (Hotulainen and Lappalainen, 2006).

In others, however, customers use the network briefly, and turnover is brisk.Café owners have talked about their discomfort for years.

Here, we use computer simulations to explore how stress relaxation in cross-linked actin networks subjected to extensional stress depends on the interplay between network architecture and turnover.

One of our results shows that, unlike in the case of uniform deletion (i.e., where α= 0), the PS kernel when coupled with the standard PA mechanism, can lead to heavy-tailed power-law networks even in the presence of extreme turnover in the network.

This paper focuses on using a neural network (NN) to predict turnover.