Where we do present case studies in text panels we draw on classic examples, such as the eruptions of Vesuvius and Krakatoa, likely to be as relevant to visitors today as they will be in 20 years' time.
Closely following studies in text mining [52], we implemented and studied a ligand-based Naïve Bayes multi-label multi-class classification model (MMM) for target-fishing.
Our approach explores the power of conducting large-scale association studies in text, and does not address finer detailed semantic issues such as negation, speculation, and context-dependent relations.
Because of the relatively few studies in this field we preferred to describe the strengths and weaknesses of the studies in text in stead of using a scoring system as scoring systems are not always valid [ 45].
The full tables of ethnic composition, and the supporting references of this study are in Text S2 and Dataset S1.
The case study described in Text Box 2 demonstrates how SACIDS is fostering inter-sectoral collaboration in One Health surveillance and response through the use of mobile technologies.
We now cite this study in the text and throughout the Discussion.
The case studies presented in Text Boxes 1 and 2 illustrate how pooling resources across countries benefits not just the SEE region, but also bordering countries.
All sequences used in this study are given in Text S1 and inferred orthology is given in Text S2.
Section Five, titled "Interpreting Choice", includes four chapters concerned with the study of choice in text.
