Sentence examples for output focused from inspiring English sources

Evaluations were "process rather than output focused".

The group's civilian output focused mostly on local services, religion and economic activity.

Analysis of modeling output focused on mean radiant temperature and predicted mean vote outcomes at key points within each of the three areas.

The paper suggests that output focused approaches, financial innovations, bundling of projects for concentrating energy loads, adopting standard processes and metrics, developing necessary infrastructure, and building local technical capacity are a key to enhancing the effectiveness of the solar PV programs.

There is also significant debate regarding the lack of tenure-track and faculty jobs available for graduates and even the continued relevance of traditional doctoral programs in an increasingly cross-discipline, output focused research market [ 58].

This paper analyzes the spatial economic impacts of road and railway accessibility levels on manufacturing output, focusing on substitution and complementarity of the intra- and the inter-modal relationship.

In this context, some tailoring to the evidence mapping process could be necessitated (for example, less emphasis on PICO) if outputs focused on non-intervention issues are identified as important during initial consultation with end-users.

We adapted existing validation methodologies and uncertainty analyses to account for multi-specific, multi-annual and diverse outputs, focusing on missing input data, incomplete and imprecise weed time series.

This paper describes the problems and explores potential solutions for providing long term storage and access to research outputs, focusing mainly on research data.

The key strategies she advocated for effective supervision were: negotiating expectations; creating a structure; generating outputs; focusing on the big picture; and creating space where groups could interact.

These increases in precision improve the end users' experience quality in using the extraction system because it lowers the time that users spend for training the system and correcting outputs, focusing more on analyzing the information extracted to make better data-driven decisions.