The phrase "adjustment scenario" is correct and usable in written English.
It can be used in contexts where you are discussing a situation or condition that requires changes or modifications, often in planning or analysis.
Example: "In the adjustment scenario, we need to consider the potential impacts of the new policy on our budget."
Alternatives: "modification situation" or "adaptation context".
We underscore that SBP and/or DBP, though not related to DVT or SVT in any adjustment scenario, were significantly related to PE on unadjusted and adjusted analyses.
The structure adjustment scenario, which only focuses on the ecological risk for construction, was less fitted.
It was found that the function adjustment scenario, which focuses on landscape connectivity, was acceptable; and the integrated adjustment scenario, which focuses on the total ecological risk and landscape connectivity, was the most advisable.
The pseudo code of IALRS is given in Figure 7. Figure 6 Power loading level adjustment scenario illustration.
A step-wise experimental strategy was applied to investigate the effectiveness of various adjustment scenarios.
We have adopted four border adjustment scenarios as summarized in Table 2.
Three basic farmland adjustment scenarios were put forward as the risk adaptation to reduce human construction induced ecological risk instead of changing the building site.
Table 5 summarizes changes in self-sufficiency rates for grain under tariff adjustment scenarios in 2030 and 2050, compared with the BAU at 2030 and 2050.
Table 2 Border adjustment scenarios Scenario BA for exports BA for imports BA for production NBA BAE BAI BAP BAEI None All sectors None None All sectors None None All sectors None All sectors None None None All sectors None.
The output growth rates in 2030 under different tariff adjustment scenarios are presented in Table 4.15 A reduction in the meat tariff (MTR) has a small impact on agricultural sectoral output in 2030, compared with BAU 2030.
After applying adjustment scenarios to account for potential overlap between data sources, we estimated over 92,000 individual opioid users.
