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We used a within-subject experimental scenario design to test our hypotheses, as this methodology both allows for making conclusions about causal relationships and ensures a high degree of external validity (Aguinis and Bradley 2014).
In order to validate the models learned through this methodology, both from a biological as much as from an analytical perspective, we developed two independent circulatory cytokine and hormone-based datasets: one drawn from lactating mice and the other from mice whose pups were removed at birth.
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This methodology comprises both melatonin detection and quantification with minimal sample preparation.
The accuracy (> 85% accuracy) of this methodology in both studies provides justification for expanding the use of this approach to other areas and potentially to assess other species.
This methodology is both genetically encodable and compatible with organic fluorophores and therefore optimal for live-cell imaging applications.
While repeated testing of uninfected individuals over time is a conventional method for determining incidence of a disease, this methodology is both labour and time intensive, and is further complicated by the boosting of the immune response in immunology-based tests such as the tuberculin skin test (TST)[ 7, 8].
This methodology is based both on a multilevel calculation strategy and on virtual testing.
This methodology serves to both identify and verify the primary structure of the MAb VR for production as rAb.
Capitalizing on this methodology, and using both analytical derivations and empirical data, we investigate the importance of the analyst's assumption regarding the underlying decision rule used to generate the efficient experimental design.
This methodology specifically utilizes both experimentation and optimization methods to determine the system's optimum operating conditions.
In this methodology information about both sample time-points (temporal) and geographical locations (spatial) are used together with genetic information to infer diffusion processes among discrete locations in timed coalescence phylogenies.
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