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The quantitative understanding of canopy formation processes under constraining growth conditions is an essential step for the development of biophysical simulation models of new crops for research and predictive purposes.
Interventions should enable them to make optimal use of available psychosocial resources even under constraining conditions such as disruptive family structures.
While health-care providers will need appropriate resources to be able to integrate such programs into regular HIV care (Vujovic, Struthers, Meyersfeld, Dlamini, & Mabizela, 2014) such interventions could enable ALHIV to make optimal use of available psychosocial resources, even under constraining conditions such as disruptive family structures.
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The a priori probability distributions of CWP have large dispersions to under-constrain the CWP retrieval.
One of the great challenges for developing theoretically driven interventions is that learning theories markedly under-constrain the design of instruction and learning environments.
AP stability after both reconstructions presented statistical homogeneity with the ACL-intact knee according to the Wilcoxon test (p = 0.311), even if horizontal tunnel tended to over-constrain (3.6 mm – median value) and vertical tunnel to under-constrain (4.4 mm – median value) the anterior drawer test with respect to the normal knee (4 mm – median value – See Table 1 and Fig. 5).
Under constrained die conditions, localization is suppressed and the flow stress increases monotonically with increasing strain.
This paper presents a game theoretical approach to solve multi-criteria conflict resolution problem under constrained and uncertain environments.
A closed-form expression for stress relaxation in films under constrained strain conditions is derived from this solution.
The aim is to minimize the maximal mean-square-error (MSE) among all the receiving nodes under constrained source and relay transmit powers.
The model can be reduced by modifying the full modal matrix, selecting modes based on dc gain and peak gain under constrained operating conditions.
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