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Assuming that partial channel state information is available at the transmitter in the form of an estimate of the SNR, it has been shown that resources can be optimally allocated based on this partial CSIT (see, e.g., [13, 14]).
Prior research has shown that resources have an impact on birth outcomes.
Studies have shown that resources controlled by women are more likely to be used to improve family food consumption and welfare, reduce child malnutrition, and increase overall well-being of the family.
Mulder et al. (2006) have argued and shown that resources are a less important determinant for first-union formation in conservative welfare states (the Netherlands and Germany) than in liberal welfare states (U.S).
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Our results from 2010 till date show that resources created with our methodology have experienced 95-98% engagement levels in target communities (specific schools), measured on reuse and referrals.
The results show that resource sharing by multiple services will not reduce the cost of these flexible resources for a service.
However, several of these meta-analyses have also shown that resource capture and biomass production begin to saturate at relatively low levels of richness [11], and that diverse polycultures achieve greater biomass than their single most productive species in just 12% of all experiments-a phenomenon called 'transgressive over-yielding' [15], [16], [17], [18].
However both studies have also shown that resource constraints limit the numbers of patients in PC at any time.
Among several possible approaches, we chose the resource perspective because it has been shown that resource availability and maximal body size correlate closely (Burness et al., 2001).
Although recall bias is often associated with self-report measures, studies have shown that resource utilization declines over time whereby patients have a tendency to under-report values resulting in a net underestimation of cost and utilization values [ 48, 49].
Even without explicit plastic root responses such as altered root length, root demography etc. (see Hodge 2004, 2006), it is shown that resource distribution could have significant effects on the outcomes of different growth scenarios, with competitive growth being significantly influenced by resource heterogeneity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com