Sentence examples for growth attention from inspiring English sources

He writes:As the Federal Reserve considers what steps it might take to try to boost growth, attention has focused on whether the Fed might buy an enormous quantity of bonds to flood the economy with some specific amount of money.

Finally, the study suggests that in order to promote per capita economic growth, attention must be paid to policies that promote the insurance market.

The study accordingly suggests that in order to promote per capita economic growth, attention must be paid to policy strategies that promote innovation.

Visual tracking plays an important role in computer vision and has received fast-growth attention in recent years due to its wide practical application such as pedestrian detection, vehicle navigation, security surveillance, and wireless communication [1 4].

This solution can further be separated in three main categories: Study the cumulative growth of attention, i.e., the amount of attention that one item receives from the moment it was published until the prediction moment.

For example, Mohamed Keita, Africa advocacy director at the Committee to Protect Journalists, argues that in countries that are cracking down on freedom of the press, like Ethiopia, economic growth deflects attention from growing authoritarianism rather than undermining it.

The growth of attention eventually saturates because the old topics are replaced with newly generated contents.

Recognition of skilled immigration as a driver of economic growth focusses attention on policies that manage the skilled migrant intake.

The front end of product development has seen a rapid growth in attention for the end-users.

Recent studies have focused on the dynamical growth of attention on different kinds of social media, including Digg [15 17], Youtube [18], Wikipedia [19 21] and Twitter [14, 22 24].

If we denote the cumulative number of FTP mentioning the topic at time t by N t, the growth of attention can be described by N t = ( 1 + χ t ) N t − 1, where the χ t are assumed to be small, positive, independent and identically distributed random variables with mean μ and variance σ 2. For small χ s, the equation can be approximated as: N t ≃ ∏ s = 1 t e χ s N 0 = e ∑ s = 1 t χ s N 0. (1).