Abstract: A promotion value model uses deep neural networks to learn to calculate the promotion value of a commercial brand. The model determines and reports the promotion value of a plurality of electronic media files each containing at least one commercial brand indicator. The learned model identifies the electronic media files and determines at least one context for each of the at least one commercial brand indicators. Promotion value is modeled with a deep neural network that maps the context for each of the commercial brand indicators to feature vectors mapped to an input layer of the neural network. Network parameters are learned to indicate relative weighted values between transitions of the layers of the neural network.

Abstract: A computer-implemented process for defining a telecommunications product in accordance with a predefined schema, the process including the steps of: receiving, via a user interface, a request from a user for a specification for the telecommunications product; receiving, via the user interface, characteristics data representing one or more characteristics for the specification from the user, including a plurality of properties for at least one of the characteristics; receiving, via the user interface, input rules data representing at least one rule for the specification, including: a selection of at least one of the received characteristics to provide a condition characteristic for the rule to operate, a selection of a rule type to define operation of the rule, and a selection of at least one of the received characteristics to provide a target characteristic on which the rule will operate; and processing the characteristics data and the input rules data, according to the predefined schema, to generate specific

Abstract: A method for processing data relationships on electronic media sites includes: receiving a first data string and a second data string corresponding to a first account and at least one submission on the electronic media site; determining a content identifier of the at least one submission; correlating the determined content identifier with a database of identified content; determining a value of the at least one indicator to the data relationship between first and second accounts based on: content, context, frequency, recency, and volume of the indicator; receiving a third data string corresponding to the second account; processing the first and third data strings to determine identities of the first and second accounts; assigning a relationship designation between the first and second accounts; and receiving a fourth data string selected from a plurality of data strings according to a priority determined by a plurality of relationship designations.

Abstract: A system for analyzing and quantifying an impact of an entity's presence within a virtual networking environment to provide an impact scorecard of the entity to a 3rd party is provided. A server has an API data feed to at least one virtual networking platform. A plurality of factors are extracted from the feed with a plurality of calculators, including a commitment score calculator, a performance score calculator, and a reach score calculator. At least one display dashboard is accessible on the server from a computing device of the 3rd party. The at least one display dashboard visually displays a marketability assessment of the entity on the virtual networking platform based on the factors from the data feed.

Abstract: The present invention is directed to a process for the removal of mycotoxins from insoluble plant-derived protein using density-based particle separators. The end product contains a substantial portion of the proteins, including insoluble proteins, and a low concentration of mycotoxin. The process is particularly useful for removing aflatoxins from corn meal protein.

Abstract: A method for processing data relationships on electronic media sites includes: receiving a first data string and a second data string corresponding to a first account and at least one submission on the electronic media site; determining a content identifier of the at least one submission; correlating the determined content identifier with a database of identified content; determining a value of the at least one indicator to the data relationship between first and second accounts based on: content, context, frequency, recency, and volume of the indicator; receiving a third data string corresponding to the second account; processing the first and third data strings to determine identities of the first and second accounts; assigning a relationship designation between the first and second accounts; and receiving a fourth data string selected from a plurality of data strings according to a priority determined by a plurality of relationship designations.

Abstract: A system for analyzing and quantifying an impact of an entity's presence within a virtual networking environment to provide an impact scorecard of the entity to a 3rd party is provided. A server has an API data feed to at least one virtual networking platform. A plurality of factors are extracted from the feed with a plurality of calculators, including a commitment score calculator, a performance score calculator, and a reach score calculator. At least one display dashboard is accessible on the server from a computing device of the 3rd party. The at least one display dashboard visually displays a marketability assessment of the entity on the virtual networking platform based on the factors from the data feed.

Abstract: A promotion value model uses deep neural networks to learn to calculate the promotion value of a commercial brand. The model determines and reports the promotion value of a plurality of electronic media files each containing at least one commercial brand indicator. The learned model identifies the electronic media files and determines at least one context for each of the at least one commercial brand indicators. Promotion value is modeled with a deep neural network that maps the context for each of the commercial brand indicators to feature vectors mapped to an input layer of the neural network. Network parameters are learned to indicate relative weighted values between transitions of the layers of the neural network.

Abstract: The present invention is directed to a process for the removal of mycotoxins from insoluble plant-derived protein using density-based particle separators. The end product contains a substantial portion of the proteins, including insoluble proteins, and a low concentration of mycotoxin. The process is particularly useful for removing aflatoxins from corn meal protein.

Abstract: A computer-implemented process for defining a telecommunications product in accordance with a predefined schema, the process including the steps of: receiving, via a user interface, a request from a user for a specification for the telecommunications product; receiving, via the user interface, characteristics data representing one or more characteristics for the specification from the user, including a plurality of properties for at least one of the characteristics; receiving, via the user interface, input rules data representing at least one rule for the specification, including: a selection of at least one of the received characteristics to provide a condition characteristic for the rule to operate, a selection of a rule type to define operation of the rule, and a selection of at least one of the received characteristics to provide a target characteristic on which the rule will operate; and processing the characteristics data and the input rules data, according to the predefined schema, to generate specific

Abstract: An athlete score generating device and a method thereof may include a commitment score calculating unit, a performance score calculating unit, a reach score calculating unit, and a total score generating unit. An athlete report generating device and a method thereof includes an athlete monitoring unit, a sport monitoring unit, and a report generating unit. An athlete rank generating device and a method thereof may include a data receiving unit, an athlete ranking unit, and an athlete rank generating unit.

Abstract: Methods for preventing oxidation in lipids using organic acids are disclosed. Compositions including the lipids are also disclosed.

Abstract: An animal diet and method of feeding an animal an amount of different pelleted feed compositions having different amounts of available energy per kilogram of the composition and a different specific ratio of kilocalories total available energy per gram amino acids throughout the animal lifecycles along with the different pelleted feed compositions and the methods of making those compositions that yield improved efficiencies in overall animal production methods.

Abstract: An optical sensor and sensor housing for measuring the magnitude and phase of an electrical current flowing through a conductor. Also disclosed is a flux concentrator method for rejecting external influences of adjacent conductors, as well as a method for attaching said sensor and flux concentrator to non-circular conductors.