The definition of terminology standardization must be considered an ideal.
We interpret the responses as indicating the continuing uncertainty about the clarification and definition of terminology, and thus of the challenges inherent in applying these terms.
This paper begins with definition of terminology used to describe the different types of symmetry that may occur in components and then gives a detailed review in which the benefits and limitations of the many existing methods used for symmetry detection in other applications are discussed.
First, the definitions of terminologies are clarified.
In particular, the current overriding issue in the CTE literature remains confusing in regard to appropriate definitions of terminology, variability in individual pathologies and the potential case selection bias in autopsy based studies.
Definitions of terminology are especially important in questionnaire-based studies to ensure that study participants are all answering with the same infrastructure in mind; photos can be helpful in this regard [ 33].
General definitions of terminology were provided in the questionnaire sheet [ 7, 8] as follow: a) Quantitative (physiologic) futility: if a treatment in 100 consecutive previous cases is seen to be futile, then sufficient quantitative evidence exists to declare that this treatment is futile in a current case (the treatment is medically ineffective because it would not work).
This section consists of the definition of common terminology (Section 3.1) followed by the description of the proposed method (Section 3.2).
We defer formal definition of basic terminology to Section 3. Next, we briefly state the goal of the problem considered in this paper.
To be less confusing for non-cnidarian specialists, we now started the result section by providing a precise definition of the terminology and the possible orthology of Nematostella Hox genes.
However, to avoid confusion for those readers from the wider fields of pattern recognition, we included the following explicit definition of our terminology in the revised manuscript: "Similarly, masked multi-reference refinement may be used as a clustering tool, i.e. to separate experimental particle images based on differences in a defined region of interest.
