The phrase "allows us to reliably" is correct and usable in written English.
It can be used when discussing the capability of something to provide consistent and dependable results or outcomes.
Example: "This new software allows us to reliably track our progress and make informed decisions based on real-time data."
Alternatives: "enables us to consistently" or "permits us to dependably".
Here, we present a simple method that allows one to control these variables independently, which allows us to reliably study surface-mediated fibril formation using AFM.
"There is no concentration of the drug that allows us to reliably predict that someone is impaired behind the wheel in the way that we can with alcohol," said Jake Nelson, AAA's director of traffic safety advocacy and research.
The approach allows us to reliably assess the uncertainty of the source parameters, which proved to be beneficial in terms of interpretation of the results (statistical significance of selected source parameters).
In their present form the values used to generate rankings in table 1 do not indicate any statistical significance that allows us to reliably determine whether evolutionary trajectories, or variation differs among cichlid assemblages.
This allows us to reliably place sequences on the optical map.
To demonstrate our hypotheses, we firstly introduce the true unipolar machine and a measurement technique that allows us to reliably measure and store the WCT; then, we present the data processing with a full example of WCT variability across the cardiac cycle and through a recording.
Our use of only bloodstream isolates allowed us to reliably negate effects from other possible 'contaminant' specimens, as GNB isolated from blood samples are almost invariably indicative of true infections.
Recent improvements in laser rangefinder technology allow us to reliably and accurately digitize the external shape and surface characteristics of many physical objects.
Recent improvements in laser rangefinder technology, together with algorithms developed at Stanford for combining multiple range and color images, allow us to reliably and accurately digitize the external shape and reflectance of many physical objects.
We then outline novel evaluation strategies which allow us to reliably compare the quality of human and algorithmic decision-making while accounting for challenges such as selective labels and confounding effects.
Presented at the Siggraph "Digital Campfire" Recent improvements in laser rangefinder technology, together with algorithms for combining multiple range and color images, allow us to reliably and accurately digitize the external shape and surface characteristics of many physical objects.
