Sentence examples for Studies have acknowledged from inspiring English sources

Studies have acknowledged the importance to ensure a solid organizational foundation and to assure that appropriate organizational and contextual conditions are in place or are being developed when launching LSTs in healthcare e.g. [ 17].

Studies have acknowledged the presence [ 5- 7] or absence [ 8, 9] of apical tight junctions in breast and colon human epithelial differentiated tissue structures produced in 3D culture and on filters, respectively.

A number of previous studies have acknowledged that student authentication in online examinations faces many security threats.

Recent studies have acknowledged the importance of institutions and suggested both formal and informal institutions have capacities to facilitate and constrain firm behavior (Peng et al. 2008).

Moreover none of the above studies have acknowledged that an individual might travel further or spend longer travelling because the journey is cheaper.

Although, as a newly developed material, the hollow sphere structures have gained a great deal of scientific attention, few studies have acknowledged its auxetic performance.

The three case control studies examined for this review had strengths in a number of areas; however, each of the studies had acknowledged weaknesses, one of these being the ascertainment of cannabis exposure.

This study has acknowledged limitations including an inability to evaluate the role of staff education, training, and supervision in the outbreak.

These studies illustrate the wide range of health-promoting capabilities OYS can provide and the importance of OYS clubs, yet, only one study has acknowledged that OYS clubs could play a role in promoting physical activity [ 53].

The study authors have acknowledged their study limitations and responded to these criticisms in detail elsewhere [ 38].

Large-scale genetic and epidemiological studies increasingly have acknowledged that variables interact in a non-additive manner with respect to risk of disease, i.e. the variables do not act independently of each other.