Collectively, these studies provide proof-of-principle that LCL (and possibly their precursor peripheral blood cells) may exhibit biomarkers relevant to autism, and further suggest their potential usefulness as reporter cells in developing a diagnostic screen for autism.
The results highlight the capacity and usefulness of numerical simulation in developing an understanding of the interplay of structure, forces, velocities and mixing in granular systems.
However in developing an MDS Fainsinger and Fassbender [ 12] correctly point out that a theoretical framework needs to be considered as in the past data sets have been developed more on availability of data rather than need or research usefulness.
PaaS features rapid application development and good scalability, presenting usefulness in developing specific applications for big biological data analysis.
Plants indigenous to Africa are being scrutinized for their usefulness in developing various HIV treatments.
This paper takes an empirical approach by focusing on the fundamentals of resilience thinking to evaluate its usefulness in developing relevant management interventions in small-scale fisheries in the Niger River Basin in West Africa.
But, its usefulness in developing social and emotional learning could contribute either directly or indirectly, through its impact on intermediate conditions such as social inclusion and inclusiveness, to the prevention or elimination of various forms of (e.g., MH) discrimination.
The common properties of this virus and the human HEV genotypes suggest the usefulness of developing an HEV model in laboratory rats.
In reporting this effort in his article "Revisiting Carroll's CSR Pyramid: An African Perspective", he introduced the perspective of the model's usefulness in a developing environment, noting that it was indeed "a durable and useful model for defining and exploring CSR" (2006, p.45), yet suggesting that it may not be the best one for understanding CSR in general.
Other research needs include: 1) determining whether random variability particularly reduces the method's usefulness in smaller samples; 2) developing a methodology, such as bootstrapping, to estimate the variance for the final effect estimates; and 3) investigating whether multiple variables can be introduced together if needed to produce sufficient amplification.
