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As a result, we found seven (7) articles (Table 1) dealing with the comparison between these two types of techniques.
Two challenges in the task of cluster analysis are (1) dealing with complicated data with nested or hierarchy structures inside; and (2) automatically detecting the number of clusters.
Compared to traditional MCDA methods, MCITA MCDA has the advantages of (1) dealing with inexactness of input data represented as intervals, (2) mitigating computational time due to the introduction of Monte Carlo sampling method, (3) identifying the most desirable management strategies under data uncertainty.
Long-term goal (LTG) 1, dealing with the underlying science surrounding endocrine disruptors, provides a solid scientific foundation for conducting risk assessments and making risk management decisions.
The resulting ranking of priorities was: family (1), dealing with emotional stress (2), getting information (3), money (4), work (5), social life (6), sex life (7), and dealing with hospital staff (8).
We carefully reviewed all studies on AFP and PIVKA-II markers in the HCC context and selected studies (1) dealing with both AFP and PIVKA-II, (2) featuring measurement of both tumor markers before and after treatment of HCC, and, (3) focusing on the roles played by both tumor markers in assessing treatment outcomes or predicting prognosis and survival.
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Section 1 deals with graphology and phonology.
2. Dealing with flooding.
3. Dealing with change and ambiguity.
We have identified 64,439 publications dealing with AD and 110,331 dealing with Lymphoma.
Section 2 deals with a linear problem.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com