Classification verbal

Various proposals for a logical classification of toxicities have been made in the past, both verbal or quantified. One of the most cited is the classification by Spector published in 1956.15 This classification even attempted to show a relationship between acute animal toxicity data and the expected lethal dose for human beings, which was meant to give a practical orientation (Table 2). 

Classification— Arranging information (verbal, documentary, objects) into groups of restricted availability with the intention of safeguarding national advantages. In ascending order of severity, the present U.S. labels are confidential, secret, top secret. Formerly the lowest label was restricted, but this is now just a general term again. 

Our data analysis showed that ATCOs often obtain TSA by write-in on flight data strips, but such interactions cannot be classified properly with MBM. The above classification scheme enables us to handle TSA development by non-verbal commimication including write-in on flight data strips. 

As its title states, the Methode de nomenclature chimique was a treatise on chemical nomenclature, or, more precisely, on the methods of constructing names of chemical substances. As Lavoisier stressed, the aim of the work was to present a method for systematic naming— mmc methode de nommer Classification was one prerequisite of this method, and linguistic rules were another. Whereas the authors elaborated broadly on the latter—not only in the opening Memoire by Lavoisier, but also on several occasions in Guyton s Memoire—, they said almost nothing about their mode of classifying, at least not verbally, in the essays of the Methode. Yet their classification is presented in form of a table inserted in the Methode, the Tableau de la nomenclature chimique. 

Fig. 7-3. Canonical format of matrix of linear system (7.2.3) (The verbal classification is explained below)...

More generally, if > 0 then the choice of x = x is not arbitrary, and if L < y then the solution in y is not unique. The classification of variables enables one to decide which of the variables x-, (components of x) is, perhaps, still arbitrary thus must be determined a priori so as to determine a unique solution (a nonredundant variable ), and which of the variables (components of y) is, having satisfied the solvability condition, perhaps still uniquely determined by the given x (an observable variable ). It will be shown later (in Chapter 8) that generally (for a nonlinear system), such a verbal classification is somewhat vague. For a linear system, it can be precisely formulated and the classification based on the partition C = (B, A) only, not on the particular choice of x = X . We call a measured variable redundant if its value is uniquely determined by the other neasured variables and the solvability condition, else nonredundant. There are H (redundant) variables X at most whose values are simultaneously determined by the other measured variables values the number H is called the degree of redundancy. We further call an unmeasured variable y observable if it is uniquely determined by x obeying the condition of solvability, else unobservable. The classification criteria ate (7.1.17) and (7.1.18), from where also (7.1.19). 

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