What Charles Taylor calls 'higher, strongly evaluated goods' (Taylor 1989)—the goods we should feel committed to, those that generate moral obligations on us regardless of our actual preferences are not somehow invented by individuals, but rather they are located within the social world which provides one's framework of the lower and the higher.
With respect to the study design, the European Medicines Agency EMEAA) strongly recommended evaluating whether carfilzomib increased survival in heavily-pretreated patients with MM, necessitating the inclusion of a BSC comparator arm.
The movement in conventional medicine towards more comparative effectiveness research has focused strongly on evaluating different treatment options by including a more heterogeneous patient sample, using real-world treatment protocols that are less standardized focusing on patient-centred outcomes [ 19, 20].
Cities which implement road user charging schemes are strongly encouraged to evaluate them against the full set of objectives listed in Table 1 (Section 3.14).
The study also shown that among several regression techniques, significant differences can be obtained in models performance, measured by R2 and Q2, hence it is strongly suggested to evaluate all available options as MLR, PLS and OPLS.
Moreover to have better implication about water environment around this area, further study on the present concentration of environmentally significant trace elements such as Ag, Cr, Co, As, Cu, Cd, Ni, Pb, Tl and Zn in the water is strongly recommended to evaluate for future safe and sound environment.
In groundwater modelling, an appropriate soil characterization is strongly recommended to evaluate both the fate and transport of solutes and the performance of groundwater remediation criterion, though parameter estimation techniques are often blocked by several inherent difficulties (i.e. ill-posedness and insufficient quantity and quality of observation data).
It is therefore strongly recommended to evaluate decision support systems in a real world setting with multi-perspective, multi-method studies before they are disseminated for routine use.
After developing a prediction model, it is strongly recommended to evaluate the performance of the model in other participant data than was used for the model development.
That would raise the stakes from the current practice, which strongly encourages lenders to evaluate defaulting borrowers for a modification but does not make it mandatory.
To evaluate how strongly these predicted motifs "explain" the regulation of transcription, we applied a machine-learning algorithm to simulate gene expression (Zou et al. 2011).
