Abstract: The present invention relates generally to a system and method for measuring the structural characteristics of an object. The object is subjected to an energy application process and provides an objective, quantitative measurement of structural characteristics of an object. The system may include a device, for example, a percussion instrument, capable of being reproducibly placed against the object undergoing such measurement for reproducible positioning. The invention provides for a system and methods for analyzing measured characteristics utilizing machine learning to create a system for predicting pathologies from measurements.

Abstract: The present invention relates generally to a system and method for measuring the structural characteristics of an object. The object is subjected to an energy application processes and provides an objective, quantitative measurement of structural characteristics of an object. The system may include a device, for example, a percussion instrument, capable of being reproducibly placed against the object undergoing such measurement for reproducible positioning. The invention provides for a system and methods for analyzing measured characteristics to identify issues and pathologies in the object, such as a tooth, and to recommend follow-up courses of action.

Abstract: The present invention relates generally to a system and method for measuring the structural characteristics of an object. The object is subjected to an energy application processes and provides an objective, quantitative measurement of structural characteristics of an object. The system may include a device, for example, a percussion instrument, capable of being reproducibly placed against the object undergoing such measurement for reproducible positioning. The invention provides for a system and methods for analyzing measured characteristics utilizing machine learning to create a system for predicting pathologies from measurements.

Abstract: A method, apparatus and computer program product for minimizing code duplication in a statically typeable language program is presented. A plurality of trees of functional instructions for a program are received, each of the plurality of trees including at least one functional node. The plurality of trees of functional instructions for a program are compared and similar trees of functional instructions are merged to eliminate similar function nodes. A combined module is produced from results of the merging, the combined module having code duplication removed therefrom.

Abstract: A method, apparatus and computer program product for performing program optimization using Automaton Loop Construct (ALC) is presented. At least one ALC is defined and a program is constructed utilizing the at least one ALC. The program is optimized, the optimizing including pre-computing as much output as possible using the at least one ALC, the optimizing resulting in optimized program code.

Abstract: A program specializer employs input specialized data structures by generating an input specialized definition of a set of data elements, and parsing an application program to identify data element references to data elements in the generated input specialized definitions of data elements. The program specializer replaces or rewrites the identified data element references with the corresponding input specialized definition. The input specialized data elements from the input specialized program are employed in a particular view by generating a mapping of source data types to preferred data types, such that the preferred data types have access advantages over the source data types, and receiving a markup application program having source data types operable to be modified in the input specialized program. A view mapper maps, using the generated mapping, a source data type to a preferred data type, and applies the mapped preferred data type to occurrences of the corresponding source data type.