Sentence examples for note focused on from inspiring English sources
The inspectors, they note, focused on grey areas, such as the calculation of the fair value of assets, that could be criticised by anybody who looked hard enough for a potential misapplication of accounting rules.Nonetheless, the findings might foster better auditing simply by bringing the industry into the public eye.
This research note focused on Hong Kong's nature-based tourism and disentangled the tourists' motivation factor structure.
In a note focused on the 2010 outlook for small- and midcap stocks, Calvasina points to M&A as a potential positive catalyst, citing pent-up strategic demand, strong balance sheets and high cash levels.
Much of the sentiment of the note focused on the impact to Google and its employees, but Pichai did include a more far-reaching comment that "we wouldn't with this fear and uncertainty on anyone – and especially not our fellow Googlers," ending with an affirmation that "in times of uncertainty, our values remain the best guide".
This note focuses on one profession and one region: It offers examples of why and how a partnership for the training and mobility of nurses might work between North Africa and Europe.
But the Viola Concerto he has written for Lawrence Power comes unadorned; there's no allusive subtitle to the work or any of its movements, while the composer's own programme note focuses on the mechanics of the music, and on how the movements are linked thematically.
Many interventions to prevent misconduct, the authors note, focus on trainees, even though faculty members comprise 32% of cases.
This note focuses on state observer design for a general class of nonlinear discrete-time systems that satisfies the one-sided Lipschitz condition.
This note focuses on the robust stabilization of discrete-time fuzzy uncertain systems with time-varying delays under a delayed nonparallel distributed compensation scheme.
As a side note, focusing on a single candidate in a single race is pointless.
A data note focuses on the data (the methodology behind it, its validation, its reuse potential) rather than the conclusions found after analysing it.
