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Notwithstanding these comments, this study shows that injury surveillance activities can be successfully implemented in sports medicine clinics.
Igor Jouline (Zhulin), Joint Institute for Computational Sciences, The University of Tennessee Oak Ridgege National Laboratory, Oak Ridge, TN Reviewer comments: This study is an extension of a previously published work on machine learning for regulatory analysis and transcription factor target prediction in yeast by the same authors.
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She commented: "This study adds information to the issues of poisoning where there is still very little known".
Final comment: This study addresses an important topic relevant to biological and medical fields.
Another reviewer commented: "This study will be highly interesting for neuroscientists in the field of motor control as well as for scientists studying animal behavior in general".
Free text comments from this study along with the free text comments pertaining specifically to issues of feasibility or practicality from the Delphi study [ 10] were transferred verbatim to a Word document and analysed thematically [ 15].
The authors thank Dr Hideki Fujii for the preparation of the mouse liver fibrosis tissue samples and Drs Hiroyuki Motoyama, Le Thi Thanh Thuy, and Tohru Komiya for valuable comments on this study.
Two anonymous reviewers provided helpful comments in this study.
Also, we thank Dr. Ryu Takizawa for helpful comments of this study.
We thank S. Koshikawa and R. Cornette for their assistance and valuable comments in this study.
We are grateful to Pr. Bengt Saltin for his expert comments on this study.
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