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Besides highlighting the challenges in reading/transferring data across different software and in handling/compiling large amounts of data, this study also shed light on the need for benchmarking processor operating system software combinations for computational efficiency.
The present paper builds on the background of the available literature and suggests the need for benchmarking indicator-based approach in a given urban area and incorporating various local issues, thus enhancing the long-term sustainability of cities which can be developed by introducing sustainability indicators into the urban planning process.
The need for benchmarking general methods for GRN inference using similar datasets and gold standard sets led to the organization of a field-wide test, the Dialogue for Reverse Engineering Assessments and Methods (DREAM) (Marbach et al., 2012; Prill et al., 2010; Stolovitzky et al., 2007, 2009).
When populated with relevant data, the proposed model can readily determine whether a particular city is low carbon or not thereby obviating the need for benchmarking and score adjustment every time a new city is added to the study list.
The need for benchmarking will grow in line with the further development of cross boarder flows and the establishment of coherent benchmark criteria as part of the "Open Method of Coordination" initiated by EU policy makers [ 24, 25].
Respondents identified a broad need for national statistics, a dimension covering a range of parallel issues, including the need for benchmarking, national registries, epidemiological statistics, and capacity for information technology and data management.
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Presenting the report, Philip Evans, from the HMC, said he did not see the need for benchmarks at all.
This paper also motivates the need for benchmark instances to evaluate the performance of existing or new developed optimization methods and advance future research in the field of air distribution system design optimization.
Phase field modeling has become significantly more popular as computational power has increased and is now becoming mainstream, driving the need for benchmark problems to validate and verify new implementations.
The lessons learned through the development of clinical applications of microarrays, such as the need for benchmark studies such as those conducted by the MAQC project, should help accelerate the process of incorporating high-throughput sequencing into the clinic.
Moreover, despite the clear need for benchmarking systems to assess cancer care, literature searches conducted up to 2007 yielded no evidence indicating that mandatory or voluntary supraregional inter-institutional benchmarking systems existed in other countries for collecting and analysing data on the quality of care provided to patients with breast cancer, or other cancers.
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