Abstract: Systems and methods for simplifying data structuring in a database by applying a first content structure to interrelate a plurality of data packets and refining the interrelations based on data packet attributes are disclosed herein. The system can include a memory including: a structure database that can include a content structure including a plurality of content categories; and a content library database. The content library database can include a plurality of data packets. The system can include a server that can receive a plurality of data packets, organize the content according to the content structure, and update the organization of at least some of the data packets based on a determined attribute of those data packets.

Abstract: Computer processes, systems and methods for alerting a student device when an objective is mastered according to a piecewise Gaussian distribution updated according to a Bayesian method are disclosed herein. The system can include a student device having a network interface to exchange data with a server via a communication network, and an I/O subsystem to convert electrical signals to user interpretable outputs user interface. The system can include a server that can: receive a student identification; retrieve the next learning objective; determine the difficulty level of the next objective problem set; and determine the probability of the student correctly answering the problems in the problem set. The system may also include a teacher device.

Abstract: Computer processes, systems and methods for alerting a student device when an objective is mastered according to a piecewise Gaussian distribution updated according to a Bayesian method are disclosed herein. The system can include a student device having a network interface to exchange data with a server via a communication network, and an I/O subsystem to convert electrical signals to user interpretable outputs user interface. The system can include a server that can: receive a student identification; retrieve the next learning objective; determine the difficulty level of the next objective problem set; and determine the probability of the student correctly answering the problems in the problem set. The system may also include a teacher device.

Abstract: Systems and methods for simplifying data structuring in a database by applying a first content structure to interrelate a plurality of data packets and refining the interrelations based on data packet attributes are disclosed herein. The system can include a memory including: a structure database that can include a content structure including a plurality of content categories; and a content library database. The content library database can include a plurality of data packets. The system can include a server that can receive a plurality of data packets, organize the content according to the content structure, and update the organization of at least some of the data packets based on a determined attribute of those data packets.

Abstract: Systems and methods for alerting a user device when an objective is mastered according to a piecewise Gaussian distribution updated according to a Bayesian method are disclosed herein. The system can include a user device having a network interface to exchange data with a server via a communication network, and an I/O subsystem to convert electrical signals to user interpretable outputs user interface. The system can include a server that can: receive a response from the user device; identify a user associated with the response; receive user attribute data; identify a next objective; provide a data packet from the aggregation of data packets to the user via the user device; receive a response from the user device; update the user attribute data according to a Bayesian method; and generate and provide an alert to the user device.

Abstract: Systems and methods for alerting a user device when an objective is mastered according to a piecewise Gaussian distribution updated according to a Bayesian method are disclosed herein. The system can include a user device having a network interface to exchange data with a server via a communication network, and an I/O subsystem to convert electrical signals to user interpretable outputs user interface. The system can include a server that can: receive a response from the user device; identify a user associated with the response; receive user attribute data; identify a next objective; provide a data packet from the aggregation of data packets to the user via the user device; receive a response from the user device; update the user attribute data according to a Bayesian method; and generate and provide an alert to the user device.

Abstract: A composite catalyst is presented. The composite catalyst comprises a substrate. The substrate comprises a zeolite and an inorganic oxide. The composite further comprises a carbonaceous material disposed on a surface of the substrate. The carbonaceous material comprises greater than about 2.8 weight percent of the composite catalyst.