Abstract: A passive, self-regulating valve includes a static pressure chamber and an elastically collapsible tube supported within the static pressure chamber. The elastically collapsible tube is defined by a geometry that determines an activation pressure of the valve. The passive, self-regulating valve also includes a flow restrictor in fluid communication with the elastically collapsible tube inside the static pressure chamber, as well as piping connecting a source of pressurized liquid both to the flow restrictor and to an opening into the static pressure chamber. The piping enables the flow restrictor to control flow rate of the pressurized liquid through the valve independent of the activation pressure of the valve. In a preferred embodiment, the flow restrictor is a needle valve.

Abstract: A passive, self-regulating valve includes a static pressure chamber and an elastically collapsible tube supported within the static pressure chamber. The elastically collapsible tube is defined by a geometry that determines an activation pressure of the valve. The passive, self-regulating valve also includes a flow restrictor in fluid communication with the elastically collapsible tube inside the static pressure chamber, as well as piping connecting a source of pressurized liquid both to the flow restrictor and to an opening into the static pressure chamber. The piping enables the flow restrictor to control flow rate of the pressurized liquid through the valve independent of the activation pressure of the valve. In a preferred embodiment, the flow restrictor is a needle valve.

Abstract: A computer-implemented method, computer program product and computing system for allowing a plurality of entities to access an ML object collection that defines a plurality of ML objects; and making an inquiry to a first entity, chosen from the plurality of entities, about a specific ML object defined within the ML object collection.

Abstract: A computer-implemented method, computer program product and computing system for obtaining the phrase-based synonym ML object from an ML object collection that defines a plurality of ML objects; adding the phrase-based synonym ML object to a probabilistic model; generating a list of synonym phrases via the phrase-based synonym ML object; and enabling the list of synonym phrases to be edited by a user.

Abstract: A computer-implemented method, computer program product and computing system for accessing an ML object collection that defines a plurality of ML objects; and identifying a first ML object chosen from the plurality of ML objects defined within the ML object collection.

Abstract: A computer-implemented method, computer program product and computing system for identifying a specific uncertainty in a probabilistic model; providing a user with one or more initial questions concerning the specific uncertainty; and receiving a response from the user concerning the one or more initial questions.

Abstract: A computer-implemented method, computer program product and computing system for maintaining an ML object collection that defines at least one ML object, wherein the at least one ML object defines a plurality of linked versions of the ML object.

Abstract: A computer-implemented method, computer program product and computing system for identifying the need for a probabilistic model to process existing content; importing a navigatable structure; utilizing the navigatable structure as a basis for an initial probabilistic model; and determining whether the initial probabilistic model is a good explanation of the existing content.

Abstract: A computer-implemented method, computer program product and computing system for maintaining an ML object collection that defines a plurality of ML objects; and associating usage criteria with each of the plurality of ML objects.

Abstract: A computer-implemented method, computer program product and computing system for obtaining the word-based synonym ML object from an ML object collection that defines a plurality of ML objects; adding the word-based synonym ML object to a probabilistic model; generating a list of synonym words via the word-based synonym ML object; and enabling the list of synonym words to be edited by a user.

Abstract: A computer-implemented method, computer program product and computing system for accessing an ML object collection that defines a plurality of ML objects; and assigning a confidence level to a specific ML object, chosen from the plurality of ML objects, concerning the applicability of the specific ML object for use with a probabilistic model.

Abstract: A computer-implemented method, computer program product and computing system for identifying a need for an ML object within a probabilistic model; accessing an ML object repository that defines a plurality of ML objects; obtaining a first ML object selected from the plurality of ML objects defined within the ML object repository; and adding the first ML object to the probabilistic model.

Abstract: Self-regulating valve. The valve includes a static pressure chamber with an elastically collapsible tube supported within the static pressure chamber. A flow restrictor is in fluid communication with an inlet into the static pressure chamber for flow through the collapsible tube. Piping connects a source of pressurized liquid, both to the flow restrictor and to an opening into the static pressure chamber, whereby flow rate through the valve remains substantially constant with variations in pressure of the pressurized liquid. In a preferred embodiment, the flow restrictor is a needle valve.

Abstract: Self-regulating valve. The valve includes a static pressure chamber with an elastically collapsible tube supported within the static pressure chamber. A flow restrictor is in fluid communication with an inlet into the static pressure chamber for flow through the collapsible tube. Piping connects a source of pressurized liquid, both to the flow restrictor and to an opening into the static pressure chamber, whereby flow rate through the valve remains substantially constant with variations in pressure of the pressurized liquid. In a preferred embodiment, the flow restrictor is a needle valve.

Abstract: A computer-implemented method, computer program product and computing system for defining a first feature group having a first plurality of options. At least one additional feature group having at least one additional plurality of options is defined. A first level-one sample assembly is defined that includes an option chosen from the first plurality of options and an option chosen from the at least one additional plurality of options. A level-one probabilistic model is defined based, at least in part, upon the first level-one sample assembly.

Abstract: A computer-implemented method, computer program product and computing system for receiving non-structured content concerning a plurality of items. The non-structured content is processed to identify one or more proposed features for the plurality of items. The one or more proposed features are provided to a user for review. Feature feedback concerning the one or more proposed features is received. The one or more proposed features are modified based, at least in part, upon the feature feedback received from the user, thus generating one or more approved features.

Abstract: A computer-implemented method, computer program product and computing system for receiving user content for analysis. Key content included within the user content is identified. Surplus content included within the user content is identified.

Abstract: A computer-implemented method, computer program product and computing system for receiving a first piece of content that has a first structure and includes a first plurality of items. A second piece of content is received that has a second structure and includes a second plurality of items. Commonality between the first piece of content and the second piece of content is identified. The first piece of content and the second piece of content are combined to form combined content that is based, at least in part, upon the identified commonality.