Data analysis mutual information

Fragment ions from biodevices are not always predictable because they contain complicated chemical additives in order to make them high in biocompatibility and performance. In addition, since some of the fragment ions from substrate materials generate protein-like complicated fragment ions, it is difficult to select appropriate peaks of fragment ions for data analysis of TOF-SIMS spectra. Therefore, an analysis technique which can be applied in all peaks in spectra is required. Information theory has been employed to help analyze TOF-SIMS data on biomaterials containing proteins to enable a selection of several important peaks from all peaks [55,100,101]. Mutual information, as defined by information theory, describes the specificity of every... 

It is not the intent of this paper to delve into the methodological details of using Benford s analysis to scrutinize voter fraud, but more detailed reviews of the technique applied to the topic can be found in papers by Roukema (2009) and Mebane (2009). The results of the fraud analysis do provide a good example of how data collected in the field can be leveraged by researchers to produce derivative products and then share those back with stakeholders to create mutual benefit. Researchers get access to higher quality and more recent data while field contributors get access to analysis of their data to better inform their efforts on the ground. Further, researchers can receive valuable feedback from the field on the accuracy of their models to provide better error bounding and validation for future work. 

Communication is essential for proper interpretation and use of biomonitoring data. Earlier in this report, we emphasized the intricate and mutual involvement of analysis, management, and communication of environmental biomonitoring (Chapter 1) the contentious social and political context with diverse constituencies for biomonitoring information and the need to incorporate communication-evaluation planning, consideration of... 

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