Sentence examples for a transforming process from inspiring English sources

The phrase "a transforming process" is correct and usable in written English.
It can be used to describe a process that leads to significant change or transformation in a particular context.
Example: "The workshop was designed as a transforming process to help participants develop new skills and perspectives."
Alternatives: "a transformative process" or "a changing process".

Exact(1)

77 On the contrary they are rarely found in MGUS suggesting that they may contribute to or reflect a transforming process.

Similar(59)

Parameters influencing detection of an underlying transforming process are the latency boundary due to virion production, which has a variation even for a same HPV type in the upper limit thresholds (Fig. 3A, B, and D), and the viral doubling time (VDT) of this underlying clonal population 7.

Contemplation is an intrinsic element in this transforming process.

The schematic diagram of (a) the transform process and (b) implantation process.

From the textile industry to automobile manufacturing and electronics, large factories and a transformed labour process created the conditions for a new wave of union organization.

The non-Gaussian loading was modelled as a transformed Gaussian process.

Since the Fourier transform of the response to a general excitation is a linear combination of the responses to CHPs, the response to a general excitation can be obtained via an inverse Fourier transform process.

During the Hough transform process, a series of double-port BlockRAM are used as parameter storage.

AVC [1] considers a two-level hierarchical transform process involving six different transforms, namely, the forward and the inverse 8×8 and 4×4 DCTs and the 4×4 and 2×2 Hadamard transforms.

The problem is due to the fact that all cycle by cycle mean stress effects are aggregated during the Fourier transform process into a single zero frequency content.

The transform process produces a new vector Wiener filter, which estimates the signal d 1(n) from the observation vector x 1(n), and a scalar Wiener filter is followed.

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