Abstract: Fibrous structures that exhibit a Tensile Ratio of less than 1.75 and/or less than 1.49 as measured according to the Tensile Strength Test Method described herein and a Geometric Mean Modulus (GM Modulus) of less than 1402.4 g/cm at 15 g/cm and/or a Machine Direction Modulus (MD Modulus) of less than 1253.4 g/cm at 15 g/cm and/or a Cross Machine Direction Modulus (CD Modulus) of less than 1569.2 g/cm at 15 g/cm, are provided.

Abstract: A supervised learning processing (SLP) system and method provide cooperative operation of a network of supervised learning processors to concurrently distribute supervised learning processor training, generate predictions, provide prediction driven responses to input objects, and provide operational sequencing to concurrently control and distribute supervised learning processor training and provide predictive responses to input data. The SLP system can dynamically sequence SLP subsystem operations to improve resource utilization, training quality, and/or processing speed. A system monitor-controller can dynamically determine if process environmental data indicates initiation of dynamic subsystem processing sequencing. Concurrently training SLP's provides accurate predictions of input objects and responses thereto and enhances the network by providing high quality value predictions and responses and avoiding potential training and operational delays.

Abstract: A supervised learning processing (SLP) system and method provide cooperative operation of a network of supervised learning processors to concurrently distribute supervised learning processor training, generate predictions, provide prediction driven responses to input objects, and provide operational sequencing to concurrently control and distribute supervised learning processor training and provide predictive responses to input data. The SLP system can dynamically sequence SLP subsystem operations to improve resource utilization, training quality, and/or processing speed. A system monitor-controller can dynamically determine if process environmental data indicates initiation of dynamic subsystem processing sequencing. Concurrently training SLP's provides accurate predictions of input objects and responses thereto and enhances the network by providing high quality value predictions and responses and avoiding potential training and operational delays.

Abstract: The disclosure herein provides systems, methods, and devices for determining and displaying market relative positions and/or attributes of unique items. A visualization system for generating electronic visualizations of market-relative attributes of unique items comprises an item selection receiver, a visualization compilation engine, and a rendering engine.

Abstract: A game engine sensor of a computing device executing an operating system receives first data from the operating system that represents occurrence of a monitored event. The game engine sensor sends second data corresponding to the monitored event to a game engine logic controller. A first logic block of the game engine logic controller determines, based on the second data and third data representing a system state of the computing device, that a first predicate condition is satisfied. A second logic block of the game engine logic controller determines, based on the second data and the third data, that a second predicate condition is satisfied. A computer security threat is detected based on the first and second predicate conditions being satisfied, and at least one game engine actuator is instructed to perform at least one action responsive to the computer security threat.

Abstract: A supervised learning processing (SLP) system and method provide cooperative operation of a network of supervised learning processors to concurrently distribute supervised learning processor training, generate predictions, provide prediction driven responses to input objects, and provide operational sequencing to concurrently control and distribute supervised learning processor training and provide predictive responses to input data. The SLP system can dynamically sequence SLP subsystem operations to improve resource utilization, training quality, and/or processing speed. A system monitor-controller can dynamically determine if process environmental data indicates initiation of dynamic subsystem processing sequencing. Concurrently training SLP's provides accurate predictions of input objects and responses thereto and enhances the network by providing high quality value predictions and responses and avoiding potential training and operational delays.

Abstract: A supervised learning processing (SLP) system and non-transitory, computer program product provides cooperative operation of a network of supervised learning processors to concurrently distribute supervised learning processor training, generate predictions, and provide prediction driven responses to input objects, such as NL statements. The SLP system includes SLP stages that are distributed across multiple SLP subsystems. Concurrently training SLP's provides accurate predictions of input objects and responses thereto, the SLP system and non-transitory, computer program product enhance the network by providing high quality value predictions and responses and avoiding potential training and operational delays. The SLP system can enhance the network of SLP subsystems by providing flexibility to incorporate multiple SLP models into the network and train at least a proper subset of the SLP models while concurrently using the SLP system and non-transitory, computer program product in commercial operation.

Abstract: A method comprising providing a graphic user interface allowing one or more users to input user attributes including one or more buyer profile attributes allowing selection of one or more types of merchant buyers prefers to interact and one or more merchant profile attributes allowing selection of one or more types of buyer the one or more merchants prefers to interact. Parameters may be input in a free-form manner to replicate meta-data. Multiple user profiles may be created through an interoperable on-line system from the user profile attributes. Such profile attributes may be transmitted the one or more buyer attributes and the one or more merchant attributes into one or more databases for storage and retrieval. Users may be notified from one or more merchants when request parameters of one or more buyers is satisfied by one or more merchants. Offers may be rejected or accepted.

Abstract: The disclosure herein provides methods, systems, and devices for measuring similarity of and generating recommendations for unique items. A recommendation system for generating recommendations of alternative unique items comprises an items information database, a penalty computation engine, a recommendation compilation engine, and one or more computers, wherein the penalty computation engine comprises a customizations filter, a condition filter, and a dissimilarity penalty calculator.

Abstract: A machine learning of response selection to structured data input enables a machine to flexibly and responsively actively engage with a response recipient through a device, such as any electronic device connected to a data network. A system of one or more computers can be configured to respond to structured language messages, such as a textual messages, received from user devices with one or more templates that have been ranked using predetermined criteria including a machine learning classification of a momentum of a structured language message using a machine learning model. The momentum classification is correlated with templates. A ranking engine ranks the selection of candidate response templates in accordance with ranking criteria, including the momentum classifications for the candidate response templates. A highest ranked candidate response template is selected to provide a response to the textual messages received from the user devices.

Abstract: A machine learning of insight communication selection in response to a triggering event in which event data specific to a user is provided to a machine to flexibly and proactively engage with the user through a device, such as any electronic device connected to a data network. In at least one embodiment, an insight selection engine improves insight communication selection to the triggering event by initially filtering a library of insight templates to identify candidate templates that best respond to the event data. In at least one embodiment, the insight selection engine includes an insight ranking module that ranks the identified candidate insight templates to provide an insight communication to the device two proactively engage the user with the system. The insight ranking module learns by receiving feedback, such as a linked recipient action result signal.

Abstract: A machine learning of response selection to structured data input enables a machine to flexibly and responsively actively engage with a response recipient through a device, such as any electronic device connected to a data network. In at least one embodiment, the response selection module improves response selection to the structure data input by initially filtering a library of templates to identify candidate templates that best respond to the input. In at least one embodiment, the response selection module ranks the identified candidate templates to provide the response to the device. The response selection module learns by receiving feedback, such as a linked recipient action result signal.

Abstract: The disclosure herein provides systems, methods, and devices for generating recommendations of dynamic or unique items. A system for generating recommendations of unique items comprises a data collection engine, a scoring engine, a user penalty calculator, and a recommendation compilation engine, wherein the recommendation engine is configured to transmit to a user access point system a list of recommended alternative unique items predicted to be preferred by a user of the user access point system.

Abstract: The disclosure herein provides systems, methods, and devices for determining and displaying market relative positions and/or attributes of unique items. A visualization system for generating electronic visualizations of market-relative attributes of unique items comprises an item selection receiver, a visualization compilation engine, and a rendering engine.

Abstract: In one aspect of the present disclosure, a rotary sifter is disclosed that includes a body assembly, a drive mechanism, and a base assembly supporting the body assembly and the drive mechanism. The body assembly includes a housing, a screen frame assembly that is positioned within the housing, and a rotor assembly mounted for rotation within the screen frame assembly. The drive mechanism is in mechanical cooperation with the rotor assembly to rotate the rotor assembly, and is axially fixed in relation to the housing, the screen frame assembly, and the rotor assembly. The base assembly includes a guide rail system that is configured and dimensioned to permit longitudinal movement of the rotor assembly and the screen frame assembly in relation to the housing and the drive mechanism to allow for removal of the rotor assembly and the screen frame assembly from the housing.

Abstract: The disclosure herein provides methods, systems, and devices for measuring similarity of and generating recommendations for unique items. A recommendation system for generating recommendations of alternative unique items comprises an items information database, a penalty computation engine, a recommendation compilation engine, and one or more computers, wherein the penalty computation engine comprises a customizations filter, a condition filter, and a dissimilarity penalty calculator.

Abstract: A game engine sensor of a computing device executing an operating system receives first data from the operating system that represents occurrence of a monitored event. The game engine sensor sends second data corresponding to the monitored event to a game engine logic controller. A first logic block of the game engine logic controller determines, based on the second data and third data representing a system state of the computing device, that a first predicate condition is satisfied. A second logic block of the game engine logic controller determines, based on the second data and the third data, that a second predicate condition is satisfied. A computer security threat is detected based on the first and second predicate conditions being satisfied, and at least one game engine actuator is instructed to perform at least one action responsive to the computer security threat.

Abstract: In one aspect of the present disclosure, a rotary sifter is disclosed that includes a body assembly, a drive mechanism, and a base assembly supporting the body assembly and the drive mechanism. The body assembly includes a housing, a screen frame assembly that is positioned within the housing, and a rotor assembly mounted for rotation within the screen frame assembly. The drive mechanism is in mechanical cooperation with the rotor assembly to rotate the rotor assembly, and is axially fixed in relation to the housing, the screen frame assembly, and the rotor assembly. The base assembly includes a guide rail system that is configured and dimensioned to permit longitudinal movement of the rotor assembly and the screen frame assembly in relation to the housing and the drive mechanism to allow for removal of the rotor assembly and the screen frame assembly from the housing.

Abstract: The disclosure herein provides systems, methods, and devices for generating recommendations of dynamic or unique items. A system for generating recommendations of unique items comprises a data collection engine, a scoring engine, a user penalty calculator, and a recommendation compilation engine, wherein the recommendation engine is configured to transmit to a user access point system a list of recommended alternative unique items predicted to be preferred by a user of the user access point system.

Abstract: The disclosure herein provides systems, methods, and devices for determining and displaying market relative positions and/or attributes of unique items. A visualization system for generating electronic visualizations of market-relative attributes of unique items comprises an item selection receiver, a visualization compilation engine, and a rendering engine.