The phrase "a source of robustness" is correct and usable in written English.
It can be used when discussing factors or elements that contribute to strength, stability, or resilience in a system, process, or argument.
Example: "The diverse skill set of the team serves as a source of robustness in our project, allowing us to tackle challenges from multiple angles."
Alternatives: "a foundation of strength" or "a pillar of stability."
This had already been a frequently observed issue during the public services tests and a major source of robustness issues.
However, when a company experiences an environmental shock like the one Fujifilm and Kodak faced, heterogeneity is a key source of robustness.
It is important to emphasize that the proposed mutation rules are quite extensive and try to focus on testing limit conditions that are typically the source of robustness problems.
An important aspect is that these rules must be focused on limit conditions that typically represent difficult validation aspects (which are typically the source of robustness problems), such as: Null and empty values (e.g., null string, empty string).
Based on this general description of probe input, we propose a set of rules (Table 1), which have been defined based on previous works on robustness testing [18, 20, 26], and explore limit conditions that are typically the source of robustness problems.
Finally, the rather phenomenological approach of the connectionist model may also be a source of sensitivity because promoter threshold has a profound effect on robustness.
E. globulus is adapted to subtropical/temperate areas and is considered a source of high-quality cellulose; E. grandis grows rapidly and is adapted to tropical/subtropical climates; and E. urophylla, though less productive, is considered a source of genes related to robustness.
A number of different sources of robustness in cellular function and biochemical networks are discussed in the literature (see e.g. [ 35, 36]).
Degeneracy is a fundamental source of biological robustness, complexity and evolvability in many biological systems.
In fact, although the kinetic parameters are important to determine the dynamical behavior, a circuit topology by itself can determine or constrain the dynamics and provide structural sources of robustness [19] [21] or noise tolerance [32].
