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The imperfect CDI not only results in many difficulties to analyze the system performances, e.g., outage probability [10,27], but also may make the optimization problems nonlinear even in single-cell systems [28].
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For Ba and U this discrepancies can be due to the difficulty to analyze such kind of elements even if for Ba our "measured value" (43.4 ± 0.5) and the "average value" (39.05 ± 15.62) are quite similar.
Recent research work shows the importance and difficulty to analyze features dependencies in the context of SPL implementations using conditional compilation techniques, or similar approaches like CIDE (Kästner et al. 2008).
The approach incorporates a Petri net and Triangularization Clustering Algorithm to offer insights into a supply chain network's vulnerabilities and can be used to efficiently assess supply chain disruption mitigation strategies, especially in complex and difficulty to analyze supply chain systems.
For this reason we are now facing the difficulty to analyze gene networks, e.g., metabolic, signaling or the transcriptional regulatory network [9], [10], [4], [11] to extract from them sensible biological information.
Quality of life data in cancerology are often difficult to summarize due to missing data and difficulty to analyze the pattern of evolution in different groups of patients.
This lack of knowledge may stem from the difficulty to analyze field data on colonization, which generally consist of samples irregularly spaced in time, and lack information about the times of colonization and decolonization.
Despite these difficulties, efforts to analyze transfer experimentally in terms of the properties of stimulus and response events have been productive in identifying conditions that can be varied to alter the direction and the degree of transfer of training.
To over come this difficulty and to analyze the nonstationary signals effectively, techniques which could give joint time and frequency information were needed.
To overcome these difficulties we chose to analyze global changes in gene expression in response to the effects of a single gene, AC2.
Difficulties in coding algorithms to analyze stabilities, rooted in their logical representation, led to the development of matrix representations of preference and explicit matrix calculations to determine stabilities.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com