Abstract: A method, a system, and a computer program product for generating an interpretable set of features. One or more search parameters and one or more constraints on one or more search parameters for searching data received from one or more data sources are defined. The data received from one or more data sources is searched using the defined search parameters and constraints. One or more first features are extracted from the searched data. The first features are associated with one or more predictive score values. The searching is repeated in response to receiving a feedback data responsive to the extracted first features. One or more second features resulting from the repeated searching are generated.

Abstract: A system and method for machine learning architecture for prospective resource allocations are described. The method may include: receiving data records representing historical resource allocations from a user account associated with a first identifier to a resource account associated with a second identifier; deriving input features based on the data records; computing, using a trained neural network architecture, a predicted resource allocation amount and a predicted resource allocation date for the predicted resource allocation amount based on the derived input features; determining, using the trained neural network architecture, a first selection score associated with the predicted resource allocation amount and a second selection score associated with the predicted resource allocation date; and when the first or second selection score is above a minimum threshold, causing to display, at a display device, the associated resource allocation amount or date corresponding to the second identifier.

Abstract: A computer-implemented method for managing a contact center having a plurality of agents includes (a) receiving real-time data associated with each of a plurality of agents servicing incoming communications for the contact center, (b) categorizing each of the plurality of agents into a respective one of a plurality of burnout risk categories by processing the real-time data associated with each of the plurality of agents using a trained supervised machine learning model having a plurality of input features, (c) determining, based on a specification of a logical directive, an operation to be performed in relation to at least one agent in the plurality of agents, wherein the specification has at least one condition relating to the categorizing of each of the plurality of agents into the respective one of the plurality of burnout risk categories, and wherein the specification defines the operation to be performed in relation to the at least one agent in the plurality of agents upon the condition being satisfied,

Abstract: Flexible polyurethane foams having high airflows and excellent viscoelastic properties are made using a polyol mixture that includes a certain liquid polyester, certain ethylene oxide polyols and certain propylene oxide polyols, and a polymeric MDI. When used in applications such as bedding, the high airflows contribute to an improved sense of comfort by the user.

Abstract: Systems and methods of x-ray backscatter radiography are provided. A single-sided, non-destructive imaging technique utilizing x-ray radiation to image subsurface features is disclosed, capable of scanning a region using a fan beam aperture and gathering data using rotational motion.

Abstract: Systems and methods of x-ray backscatter radiography are provided. A single-sided, non-destructive imaging technique utilizing x-ray radiation to image subsurface features is disclosed, capable of scanning a region using a fan beam aperture and gathering data using rotational motion.