Abstract: Control methods are disclosed for continuous, unmodulated, multiple catalytic conversion step processes using at least two catalysts, a first catalyst and a second catalyst, that accommodate changes in the performance of each catalyst and the relative performances of the catalysts. In the methods, certain process parameters are used in a manner that is indicative of changes in catalyst performance, and the control methods provide for adjustment of at least one of: the absolute amount of catalytically active species and relative amounts of each of the first catalyst and second catalyst and at least one of the rate of feed or concentration of the raw material to the reaction zone.

Abstract: A system and associated methods for validating and managing user identities are disclosed. In at least one embodiment, a central computing system is configured for receiving and processing data related to an at least one user and associated identity. A user account is established and associated with each user, the account containing at least one of a unique account identifier, an identity score representing a quality rating of the user based on the at least one identity, and an identity table containing details related to the at least one identity. In at least one embodiment, the computing system is capable of selectively validating the at least one identity, dynamically calculating the identity score associated with the at least one user, and even leveraging select unique identifying data to create a persistent multi-factor authentication process in conjunction with a mobile device associated with the at least one user.

Abstract: A system and associated methods for validating and managing user identities are disclosed. In at least one embodiment, a central computing system is configured for receiving and processing data related to an at least one user and associated identity. A user account is established and associated with each user, the account containing at least one of a unique account identifier, an identity score representing a quality rating of the user based on the at least one identity, and an identity table containing details related to the at least one identity. In at least one embodiment, the computing system is capable of selectively validating the at least one identity, dynamically calculating the identity score associated with the at least one user, and even leveraging select unique identifying data to create a persistent multi-factor authentication process in conjunction with a mobile device associated with the at least one user.

Abstract: Receiving from a user of a publication system first content and a request to create a poll for the first content, the poll for receiving poll commentary about the first content from participants in a social network. Transmitting the first content and the request to create a poll to the social network. Receiving from the social network poll commentary about the first content. Receiving from the social network additional content for use in the poll. Receiving second content and a request for poll commentary about the second content from the user and, responsive to receiving the second content and the request for poll commentary, transmitting to the social network a request for poll commentary for the first content and the second content.

Abstract: The present invention provides a unique system and method that can employ machine learning techniques to automatically fill one or more fields across a diverse array of web forms. In particular, one or more instrumented tools can collect input or entries of form fields. Machine learning can be used to learn what data corresponds to which fields or types of fields. The input can be sent to a central repository where other databases can be aggregated as well. This input can be provided to a machine learning system to learn how to predict the desired outputs. Alternatively or in addition, learning can be performed in part by observing entries and then adapting the autofill component accordingly. Furthermore, a number of features of database fields as well as constraints can be employed to facilitate assignments of database entries to form values—particularly when the web form has never been seen before by the autofill system.

Abstract: The present invention provides a unique system and method that can employ machine learning techniques to automatically fill one or more fields across a diverse array of web forms. In particular, one or more instrumented tools can collect input or entries of form fields. Machine learning can be used to learn what data corresponds to which fields or types of fields. The input can be sent to a central repository where other databases can be aggregated as well. This input can be provided to a machine learning system to learn how to predict the desired outputs. Alternatively or in addition, learning can be performed in part by observing entries and then adapting the autofill component accordingly. Furthermore, a number of features of database fields as well as constraints can be employed to facilitate assignments of database entries to form values—particularly when the web form has never been seen before by the autofill system.