In future work the benefits of the individual against the population will be weighed.
Detection of the new, emerging contours of the future of work benefits from attention to the framing of relevant trends and data.
It is hoped that our reflection and suggestions for future work can benefit others in the similar endeavor.
Additionally, future work will benefit from parallel integration of computational modeling, preclinical testing, and clinical trials, where data from each approach can be used for refinement of the other.
As understanding of Type Ibc progenitors improves (for some recent investigations, see Kim et al. 2015), future work would benefit from a more realistic progenitor model by modelling the mass loss processes in detail.
Because the realization of any given network is time-dependent (Moody and White 2003), future work could benefit from comparisons over time (Still et al. 2014a) and from including relationship decay over time into the analysis of relational capital.
To further evaluate method effects on lifetime estimates of psychopathology, future work may benefit from comparing rates of retrospectively- and prospectively-derived diagnoses in individuals who are repeatedly assessed over a lengthy follow-up period.
Future work would benefit from considering the influence of response shifts to accurately assess the impact of illness on QOL.
Future work may benefit from T1 mapping of the brain [31] since this will be sensitive to a broader range of tissue manganese concentrations while being unaffected by receive-coil artifacts – the primary motive for normalizing signal intensities in the present study.
Future work would benefit from having individual provincial cost components.
