The phrase "a single sample to" is correct and usable in written English.
It can be used when referring to the act of providing or analyzing one specific sample in a context, such as research or testing.
Example: "In our study, we decided to analyze a single sample to determine the effectiveness of the new drug."
Alternatives: "one sample to" or "a lone sample to".
For example, photo-responsive gels can be 'molded' by light into various three-dimensional shapes, permitting a single sample to have multiple uses.
A novel arc heat treatment technique was applied to design a uniquely graded super duplex stainless steel (SDSS), by subjecting a single sample to a steady state temperature gradient for 10 h.
Therefore, this technique uses a single sample to measure the interfacial fracture toughness, as opposed to the decohesion test that uses several samples to be able to bound the interfacial fracture toughness.
A significant problem arises from the need to determine fixed sequence partitions (windows) to overcome the inability of a single sample to provide adequate information about an activity; commonly overcome by using a fixed size sliding window over consecutive samples to extract information either handcrafted or learned features and predicting a single label for all the samples in the window.
So, it uses ISA-Tab handler for scientific workflows that allows the linkage of a single sample to multiple analyses employing various assays [14].
In this study, we used a single sample to measure vitamin D levels.
It can take up to four working days to test a single sample at a laboratory.
The function of QUICS is to go beyond a single sample approach to the identification of the multiple ions that are related to any given metabolite by correlating ion data across a set of samples.
For our experiment, we were able to achieve a delay on the order of a single sample, thanks to a feedback control sampling rate of 44.1 kHz.
Our approach provides a principled way to cluster multiple measurements of a variant in a single sample and to compare variants across samples.
The collection of a single sample leads to the change in M parameter estimates, whereas collecting multiple samples results in the change of C parameter estimates.
