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IPR is a meaningful extension of the centrality measures in complex network, which considers usage reliability of components and functional dependency between components to increase importance measures usefulness.
In order to be useful in practical applications, the models must be capable of predicting such quantities as maximum pressure, maximum pressure rise, and the time of flame arrival at certain positions, quantities which are needed in the design process of safety measures in complex facilities.
Protection of natural resources is a global priority, yet implementation of conservation measures in complex socio-political contexts is often challenging [1] [3].
These differences clearly contribute to the variance of QOL measures in complex, non-linear and dynamic ways [ 2, 7].
In the absence of an effective international monitoring mechanism and preventive measures in complex settings and post-conflict settings, OPV and human rights violations are likely to be widespread.
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To test the electrodes in natural sediment and evaluate data processing approaches with signals measured in complex media, several sediment manipulations were performed in the laboratory.
This study demonstrates that relative microbial gene transcription can be measured in complex food matrices and points to the need for designing experimental set-ups in real food matrices to replace the laboratory model systems.
Assessment of implementation fidelity will help with defining 'what was measured' in complex interventions.
A major difficulty comes from the interpretation of binding data measured in complex systems such as total membranes or whole cells from different tissues where other proteins may affect the interaction.
Cronbach et al. [ 11] were sceptical of the utility of such a measure in complex performance-based assessments, because "of the magic number of 0.80" that a reliability coefficient should supposedly reach.
This decrease was also observed by measuring in-gel complex I activity (Fig. 3B).
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