Abstract: A tank tee assembly includes a tank tee body including a tank tee inlet, a tank tee outlet and a tank tee passageway therebetween. An annular flange is disposed on a peripheral surface of the tank tee passageway. At least one through-hole structure is disposed in the tank tee body downstream of the annular flange. A poppet valve assembly is disposed in the tank tee passageway between the annular flange and the at least one through-hole structure. The poppet valve assembly includes a poppet and a guide. The guide is rigidly secured within the tank tee passageway. The guide includes a guide base. The guide base has an outside diameter that is larger than an inside diameter of the annular flange. The tank tee passageway is free of any threaded connections between the annular groove and the at least one through-hole structure.

Abstract: Mixed-initiative message-augmenting agent systems and methods that provide users with tools that allow them to respond to messages, such as email messages, containing requests for information or otherwise requiring responses that require information that needs to be retrieved from one or more data sources. The systems and methods allow users to train machine-learning agents how to retrieve and present information in responses to like messages so that the machine-learning agents can eventually automatedly generate responses with minimal involvement by the users. Embodiments of the systems and methods allow users to build message-augmenting forms containing the desired information for responding to messages and to demonstrate to the machine-learning agents where to retrieve pertinent information for populating the forms. Embodiments of the systems and methods allow users to modify and repair automatically generated forms to continually improve the knowledge of the machine-learning agents.

Abstract: Mixed-initiative message-augmenting agent systems and methods that provide users with tools that allow them to respond to messages, such as email messages, containing requests for information or otherwise requiring responses that require information that needs to be retrieved from one or more data sources. The systems and methods allow users to train machine-learning agents how to retrieve and present information in responses to like messages so that the machine-learning agents can eventually automatedly generate responses with minimal involvement by the users. Embodiments of the systems and methods allow users to build message-augmenting forms containing the desired information for responding to messages and to demonstrate to the machine-learning agents where to retrieve pertinent information for populating the forms. Embodiments of the systems and methods allow users to modify and repair automatically generated forms to continually improve the knowledge of the machine-learning agents.