Sentence examples for considerations which can from inspiring English sources

This leads to trade-off considerations which can be dealt with through an optimization process.

The livelihoods approach provides a framework for dealing with such considerations, which can be elicited through the participation of farmers in the research and development activities.

The basic considerations which can be obtained using a graphical method are then supported by results provided by a more detailed numerical model of a particular reference machine, a hydraulic crane.

The concept of sustainable chemistry, including process and product considerations, which can be seen as the next frontier in chemical engineering education, is finally analysed from the education point of view.

Focusing on the transition from the process level of the model to the application level, we also present some central design considerations, which can be used to guide the design of service-based interoperability.

This approach is composed by hierarchical aging analysis at transistor/circuit level, block failure analysis at abstraction level and system-level aging considerations, which can essentially highlight sensitive blocks for circuit designers.

Fee differences between different providers are another important consideration which can have a big impact on returns over time.

To take properties into consideration which can not be directly derived from simple descriptors, we implemented and incorporated a PLS based QSPR prediction directly into our enumeration engine.

The sample size needed depends on the intra-individual variation present in the call type under consideration, which can vary substantially.

Also, when accurate experimental data is available, NEB calculations can often still reveal important aspects of the processes under consideration which can then also be included in the KMC simulation.

Using these weights, we produced a combined AICc weight for each fixed predictor under consideration, which can be considered as a measure of the strength of support for that particular predictor being included in the model.