Sentence examples for any given point of time from inspiring English sources
The phrase "any given point of time" is correct and usable in written English
You can use it when you want to refer to an unspecified moment in the past, present, or future. For example: "At any given point of time in the future, the world could look very different."
At any given point of time, we have 250 children enrolled in the four night care centres.
Together, we generate more than 50 Terabytes (50,000 Gigabytes) of internet traffic per second at any given point of time.
Our modified differential evolution (MDE) algorithm utilizes only one set of population as against two sets in original DE at any given point of time in a generation.
The 186 second feet will, however, be subject to reduction by the amount of return flow intercepted by the Tri-State Canal for delivery to Northport at any given point of time.
The diversity and rapid turnover in the prevalence of any particular NPS at any given point of time has created several challenges for public health officials, law enforcement, and forensic science communities.
The process is automated for all possible combinations of the chemotherapy and immunotherapy drug dosages with preferential emphasis of having maximum possible variety of drug inputs at any given point of time.
In this section, we develop an optimization model of the network, which considers the network state at a given point of time, but not the dynamicity of changes.
The intersecting area among all three dimensions at a given point of time yields a flow of emergent possibilities which enable innovation to emerge.
It was, at least in principle, possible to know today with sufficient accuracy how the energy system will look like in a given point of time in the future.
If the scientific community \ SC\) at a given point of time \(t\) accepted the standards \ V\), then the preference of \ SC\) for theory \(T\) over \(T'\) on evidence \ e\) was rational just in case the epistemic utility of \(T\) relative to \ V\) was higher than that of \(T'\).
The main inspiration for this approach were the databases established by Mayda and Patel (2004) and Hatton (2009) which tracked migration policy changes over time instead of trying to capture the characteristics of entire migration policy regimes at a given point of time (which is the aim of comparative databases).
