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The case study reveals an alternative interpretation of the recent financial crisis.
The case study reveals the strategic consideration in the process of searching for FinTech investment targets.
The case study reveals that the proposed method is promising in handling Kansei adjective clustering problems.
The evaluation of the case study reveals positive results regarding both Availability and Severity.
A complete case study reveals how to apply the method and its usefulness.
A case study reveals the rationale behind the redesign of a process control health reporting system using this methodology.
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The results of the case study revealed that all DMUs are inefficient.
The case study revealed that the "target" can be overwritten with time, while "common" does not mean commonly defined.
However, this case study revealed that the fuel-efficient designs sacrificed important functional, social, and cultural needs.
On the downside, the Lua API case study revealed that the BETA tool suffers from state explosion problems due to the non symbolic constraint solver used.
The lessons learned from the case study revealed that participation does not always require to involve all stakeholders in all steps of the planning process.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com