Transformations, classes

Temperature classes for transformers A, E, B, F, H and C are generally recognized. All classes are applicable to both oil-immersed and air-cooled transformers. Classes A, B, H and C are most commonly used but the use of Class F is increasing. 

The Editors believe this organization will help emphasize the common threads that underlie many seemingly disparate areas of organic chemistry. The relationships among various transformations becomes clearer and the applicability of transformations across a large number of compound classes becomes apparent. Thus, it is intended that an integration of many specialized areas such as terpenoid, heterocyclic, carbohydrate, nucleic acid chemistry, etc. within the more general transformation class will provide an impetus to the consideration of methods to solve problems outside the traditional ones for any specialist. 

We infer (from outside) the existence of a particular structure by observing that a certain kind of input information reliably results in specific transformed output information under typical conditions. For example, we ask someone, "How much is fourteen divided by seven " and he answers, "Two." After repeating this process, with variations, we infer the existence of a special structure or related set of structures we can call arithmetical skills. Experientially, we infer (from inside) the existence of a particular structure when, given certain classes experienced input information, we experience certain transformed classes of output/response information. Thus, when I overhear the question about fourteen divided by seven and observe that some part of me automatically responds with the correct answer, I infer an arithmetical skills structure as part of my own mind. 

There are two relationships between ExpressionValueDimension class and Transformation class. Transformations transform ExpressionValueSets yielding new ExpressionValueSets, and they can introduce new values for expression value dimensions (i.e., new ExpressionValueDimension objects). For example, each instance of the ratio transformation transforms two raw image ExpressionValueSets into a ratio ExpressionValueSet, introducing some new ExpressionValueDimension objects ExpressionValueiype ratio and a new CompositeSample object. For a Transformation there may be one or more sourceDimensions, and a Transformation may yield one or more resultDimen-sions. 

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