The phrase "accommodated over" is not standard in written English and may lead to confusion.
It could be used in contexts where you are discussing how something has been adjusted or adapted over a period of time or in relation to a specific situation.
Example: "The new policy has accommodated over the years to better meet the needs of our clients."
Alternatives: "adapted over" or "adjusted over".
She also founded the Women's Brigade, which accommodated over 1,000 young women who lost their soldier husbands in service of their country.
However, greater displacements may be required when a distributed damage zone is present, in which strain is accommodated over multiple slip surfaces.
However, tragically for Simone and her family; she has been moved twice since leaving Castlebeck and is now accommodated over 200 miles from her family; too far for them to visit.
Sidefeed says they have accommodated over 50,000 live broadcasts (80% over 3G) in the first four weeks and that they're currently thinking about an Android port.
The concepts regarding receptor function have been accommodated over time to a reductionist model that ideally considers one ligand and one receptor.
This improvement in performance is attributed to the fact that large amounts of lithium ions can be accommodated over the PEO.
This is exceeded only by the metropolitan region of Tokyo-Yokohama, which may swell to accommodate over 38 million people.
The design of the previously qualified TRL6 Micro (Nast et al., 2014) [1] was modified to accommodate over twice the input power, greatly increasing the cooling capability.
One event had to be moved from a location that could hold only 80 people to one that could accommodate over 300. .
The Bashabshe transit facility, for example, where Syrian refugees are first registered in Jordan, has a capacity of around 500 people, but it consistently accommodates over 2,000.
Allowing area-specific risks to depend on a latent variable (a random effect), the variance of which reflects the degree of extra-Poisson variation, is a standard approach to accommodate over-dispersion in counts in the epidemiological literature (Mollié 2000; Lawson 2013 and references therein).
