Sentence examples for mutually identify from inspiring English sources

Exact(1)

Frequent goal-setting meetings with their representatives might be a start, i.e. a type of quality circle to mutually identify, analyze and solve work-related problems in order to improve the performance of the hospital, and motivate and enrich the work of employees.

Similar(59)

The City of Madison and MGE have already made progress toward mutually identified goals: a recent grant will yield the first three all-electric Proterra Catalyst buses in Madison.

We have mutually identified certain things that successful businesses do to that lead to greater sales and profitability in any market.

Most proteins (1254, 83%) were mutually identified in each group, while 25 (1.7%) and 131 (8.7%) proteins were uniquely identified in young and aged mice, respectively.

As expected, a large number of proteins were significantly modulated upon doxorubicin and etoposide stimulus, whereas approximately 70 of them were mutually identified in both treatments.

"We are willing to work with you to identify a mutually identifiable date for your testimony, but we will not allow that date to slip past January 29 , 2019— the day of the president's scheduled address to Congress, when we know you will be in Washington".

2. This is an example of the type of complementary fit, where activities are mutually reinforcing, identified by C. Zott and R. Amit in "The Business Model: A Theoretically Anchored Robust Construct for Strategic Analysis, Strategic Organizationn 11, no. 4 (November 2013): 403-411.

The neutral's duties would include meeting privately with each side, exploring interests, and helping to identify mutually advantageous tradeoffs.

Communicate specialized needs and requests to eCommons administrators and staff in order to identify mutually acceptable solutions.

So different are the two, that Ricard was able to identify mutually exclusive areas of the brain on fMRI while subjects performed either empathy or compassion based meditation.

We used an iterative process to identify mutually exclusive codes or themes across transcripts.

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