Retention and geographic distribution are both high on the agenda in most countries, including Australia, with an increasing recognition that they are critical aspects of achieving effective health service delivery, particularly in rural and remote areas [ 1].
There is an increasing recognition that such confidence helps a man to achieve.
As a result of increasing recognition of effective site management as the strategic approach for achieving the required performance in construction projects, this study seeks to identify the key site management practices that are requisite for construction waste minimization.
With the final push to achieve the Millennium Development Goals (MDG), including that to reduce child mortality rates, there is increasing recognition of the need for strong health systems and comprehensive child health programmes in the poorest countries.
There is increasing recognition that future gains in productivity, especially under low input conditions, can be achieved through optimization of RSA.
There is an increasing recognition that strong and effective health systems that are evidence-informed in their operations are necessary to achieve continued improvement in health outcomes in an efficient and equitable manner [ 1, 2].
Thus, the proposed motion-based shot-class association approach achieves to combine increased recognition performance with relatively low computational complexity, compared to the relevant literature.
From the presented results, it can be seen that the proposed approach achieves high values for both overall classification accuracy and average precision for τ = 0 in all selected domains, while most of the supported classes exhibit increased recognition rates.
Internationally, there is increased recognition that high levels of intra-country disparities in maternal health outcomes are as important to tackle as international disparities if the 2015 Millennium Development Goal of a reduction in maternal mortality is to be achieved.
The importance of this discipline has been achieved by increasing its translational value, based on the recognition of biological target drug molecule adverse drug reaction (ADR) associations and integration of secondary pharmacology data with pharmacokinetic parameters.
