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Tailoring existing fire spread models to particular landscapes is challenging because it demands a substantial data collection effort.
Whilst there are many tools aiming to support environmentally conscious design, they are typically complex to use, demand substantial data collection and are not tailored to the specific needs of the medical device sector.
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Moreover, successful model development requires substantial experimental data collection and strategic contributions from a variety of functional experts (e.g., pharmacology, biology, clinical research, biostatistics, mathematics).
All authors made substantial contributions to the design of the study JW, PS and SH made substantial contributions to data collection.
While this real-world case corroborated that relevant input data can be gathered and that the decision model provided the involved decision-makers with useful guidance, we neither have substantial experience in data collection nor about reference data to calibrate the decision model for various application contexts.
While this case corroborated that relevant input data can be gathered and that the planning model offers useful guidance, we neither have substantial experience in data collection routines nor about reference data to calibrate the planning model for various application contexts.
CSD made substantial contributions to data collection.
ES provided substantial contributions to data collection.
SMC made substantial contribution during data collection, analysis and data interpretation.
AG made substantial contributions to data collection, data analysis, and revised the manuscript.
JJB made substantial contributions to data collection, data analysis, and drafted the manuscript.
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