Sentence examples for resilient changes in the from inspiring English sources

Federal programs like the Land and Water Conservation Fund and the Farm Bill can be expanded to make communities more resilient; changes in the tax code and other federal rules can incentivize private investment".

While Paraguay, Bhutan and Lesotho rely almost solely on hydro and Iceland on geothermal, Uruguay has a spread that makes it more resilient to changes in the climate.

We also aim to construct better SVM models that are more resilient to changes in the percentage of malicious nodes, and give us better results.

Collectively, these land-use changes make pastoral communities more vulnerable and less resilient to changes in the biophysical environment (living and non-living components of the environment) (Reid et al. 2014).

The comparison in Appendix 7: Figs. 10 and 11 reveals, as well, that while our utility function makes labor supply decision fairly resilient to the changes in the incentives, introducing the heterogeneity in terms of preference parameters allows to explore a wide variety of lifetime patterns of the labor supply.

The sparse linear regression problem is cast as an LP and uses a loss function which ensures that the weight vector is resilient to small changes in the training data.

It was constructed as a response to the city's objectives to reduce CO2 emissions by 50 percent and to ensure that Rotterdam remains climate-change resilient in the future.

TRNSYS computer simulations show the contributions of individual building services to the overall energy balance and indicate that the building is resilient towards changes in parameters such as climate or occupancy density.

This paper addresses the question of whether policy perception can erode or enhance the ability of commercial fishers to be resilient to changes in fisheries policy.

Results are therefore not directly comparable between different species, although both CAI and E(g) have been shown to be quite resilient to changes in their reference sets and iterative algorithms have been proposed to derive the CAI reference sets automatically.

Our study, using a scenario-based approach that accounts for the full range of urban growth uncertainty by 2030, helps better evaluate possible regional climate effects and associated human health outcomes in the most rapidly urbanizing areas of China, and has practical implications for the development of sustainable urban regions that are resilient to changes in both mean and extreme conditions.