Abstract: Described is a technology in which a set of objects represent educational entities of an educational model, with relationships between objects. For example, a course object instance may have a relationship with a task instance and a user instance (such as representing a student). Other objects may include user credentials objects, group objects, degree program objects, course plan objects, institution objects, school objects, and/or department objects. The set of objects may be pre-defined and maintained in a persistent storage; this pre-defined set may be extended with an extended object that has relationships with pre-defined objects. The educational entities of an object model may be maintained in rows of a table, with each row having a field that identifies which entity is represented by that row. The table is accessed to determine relationships between an instantiated object for an entity and at least one other instantiated object for another entity.

Abstract: Described is a technology in which a set of objects represent educational entities of an educational model, with relationships between objects. For example, a course object instance may have a relationship with a task instance and a user instance (such as representing a student). Other objects may include user credentials objects, group objects, degree program objects, course plan objects, institution objects, school objects, and/or department objects. The set of objects may be pre-defined and maintained in a persistent storage; this pre-defined set may be extended with an extended object that has relationships with pre-defined objects. The educational entities of an object model may be maintained in rows of a table, with each row having a field that identifies which entity is represented by that row. The table is accessed to determine relationships between an instantiated object for an entity and at least one other instantiated object for another entity.

Abstract: Throughput in a semiconductor wafer processing system, such as in-line photolithography equipment, is improved by identifying and correcting bottlenecks in the flow of wafers through multiple, associative segments of the equipment. Segmental rather than total processing times are monitored in order to identify the segments having the longest processing times. The theory of constraints is applied to identify the process segment representing a bottleneck in the process, and effect improvements in the bottleneck segment that provide greater overall throughput.

Abstract: Throughput in a semiconductor wafer processing system, such as in-line photolithography equipment, is improved by identifying and correcting bottlenecks in the flow of wafers through multiple, associative segments of the equipment. Segmental rather than total processing times are monitored in order to identify the segments having the longest processing times. The theory of constraints is applied to identify the process segment representing a bottleneck in the process, and effect improvements in the bottleneck segment that provide greater overall throughput.

Abstract: An apparatus for cleaning the mouth includes chuck unit fastened to the outlet pipe of a water tap and locked in place by a locknut, a spray gun connected to the chuck unit by a spiral water tube, wherein the spray gun has a control valve controlled to eject a stream of water for cleaning the cavity of the mouth. A toothbrush may be attached to the handle of the spray gun in place of the nozzle thereof for cleaning the teeth. The toothbrush has water outlets on the brush head thereof through which water is ejected for cleaning the gaps in the teeth.