Sentence examples for and methods for testing from inspiring English sources
Thus, there was a strong emphasis on teaching the principles of adaptation and maladaptation, and methods for testing hypotheses about the origins and tradeoffs of biological adaptations (See Additional file 1: Table S1 for list of topics and readings).
Meta-analysis across surrogate tests might yield generalizations and identify the main factors underlying variability in results, thereby refining predictions about surrogates and methods for testing them.
Strategies for formulating questions and hypotheses remain unsettled, and methods for testing evolutionary hypotheses are unfamiliar to many in medicine.
The purpose of this paper is to outline the study design and methods for testing the simple message of increasing dietary fiber.
The concept of residuals is not well defined in Tobit regression, and methods for testing model validity were not available given the slightly unusual truncated nature of the conditional distribution of outcomes.
Details of the calculations for fluence rate, photolysis rates, H2O2 half-life, oxidant branching ratios, EEO, and methods for test compound analysis in addition to supporting tables, schematics, and figures referenced in this work.
Continue investigating the mechanisms of toxicity and exposure (e.g., sources, fate, transport, and bioaccumulation of PFASs), and improve methods for testing the safety of alternatives.
during the actual software development (in the steps secure development and security testing) vulnerabilities are detected, e.g., by using manual and automated as well as static and dynamic methods for testing application security [2, 22].
- Present the model earlier: the model and the methods for testing it appear on p 30 and take 2 pages out of the 45 in this version of the manuscript.
Simulation research has shown that bootstrapping is one of the most valid and powerful methods for testing mediation effects [ 43, 48- 52].
Simulation research also shows that bootstrapping is one of the more valid and powerful methods for testing the effects of intervening variables [ 55, 56].
