The main requirements of scaling are that dynamic similarity should be maintained and that the scaling should remain within established flow regimens.
In order to meet the requirements of scale-up of antiretroviral therapy (ART) and to solve the problem of the shortage of health staff, some countries apply 'task-shifting', the delegation of medical and health services responsibilities from higher to lower cadres of health staff (34– 34).
Studies have shown the potential impact and resource requirements of scaling up priority MCH interventions globally (14– 14).
These results demonstrate that laboratory-based experiments may be able to mimic flow regimes observed in the field; however, the requirement of scale-dependent dispersivities and mass-transfer coefficients indicates that these tests may be more limited in understanding larger-scale solute transport between regions of different mobility.
The papers in this issue illustrate an important requirement of scaling up: making the work of PD facilitators visible such that researchers/designers can begin to more explicitly articulate their roles, how they learn to enact those roles, and how researchers/designers can support their learning.
According to the Quality Assessment of Diagnostic Accuracy Studies scale, we can see that seven studies met all 14 requirements of this scale, 1 study met 13, and 1 study met 12.
The scale and selection of participants was determined to satisfy the general requirements of continuous scale of measurement and independence of observations in SEM methodology (Babakus et al. [1987]; Clason and Dormody [1994]; Malone and Lubansky [2012]).
Based on the observation that energetic requirements of animals scale to metabolic body mass (i.e., M0.75) but gut capacity scales linearly with body mass (M1.0) in mammalian herbivores, Bell [2] and Jarman [3] deducted that at larger M, more gut capacity was available per unit energy requirement/food intake.
It is tailored to meet specific requirements of small scale systems (centimeter, millimeter or less) with Taylor segmented flow feed.
The second is that the storage requirements of this scale of S-matrix are greater than a terabyte, and using it would require trillions of multiplication operations [20].
A trend of huge amount of data with characteristics of large scale, complex types, and wide area distribution produced by smart substation makes the traditional relational database more and more difficult to adapt to the requirements of large scale data processing from power enterprises [3, 4].
