Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilize a dynamic user interface and machine learning tools to generate data-driven digital content and multivariate testing recommendations for distributing digital content across computer networks. In particular, in one or more embodiments, the disclosed systems utilize machine learning models to generate digital recommendations at multiple development stages of digital communications that are targeted on particular performance metrics. For example, the disclosed systems utilize historical information and recipient profile data to generate recommendations for digital communication templates, fragment variants of content fragments, and content variants of digital content items.

Abstract: An extension conduit for use with a system for aspirating thrombus includes a passageway extending between a distal end and a proximal end of the extension conduit, and a combined hydraulic and electrical control carried on the extension conduit and configured to be activated by a user to activate an electric switch while opening a valve to allow flow through the passageway.

Abstract: An extension conduit for use with a system for aspirating thrombus includes a passageway extending between a distal end and a proximal end of the extension conduit, and a combined hydraulic and electrical control carried on the extension conduit and configured to be activated by a user to activate an electric switch while opening a valve to allow flow through the passageway.

Abstract: An extension conduit for use with a system for aspirating thrombus includes a passageway extending between a distal end and a proximal end of the extension conduit, and a combined hydraulic and electrical control carried on the extension conduit and configured to be activated by a user to activate an electric switch while opening a valve to allow flow through the passageway.

Abstract: This application is for an improved face mask that allows users to easily transition between a full-protection mode and a partial-protection mode. In full-protection mode, the improved face mask covers a user's mouth area and nose area. In partial-protection mode, a mask hatch removably attached to the mask frame is detached and exposes the user's face covered by the mask frame. A method of manufacturing the improved face mask is also described.

Abstract: A plant asset failure prediction system and associated method. The method includes receiving user input identifying a first target set of equipment including a first plurality of units of equipment. A set of time series waveforms from sensors associated with the first plurality of units of equipment are received, the time series waveforms including sensor data values. A processor is configured to process the time series waveforms to generate a plurality of derived inputs wherein the derived inputs and the sensor data values collectively comprise sensor data. The method further includes determining whether a first machine learning agent may be configured to discriminate between first normal baseline data for the first target set of equipment and first failure signature information for the first target set of equipment.

Abstract: A plant asset failure prediction system and associated method. The method includes receiving user input identifying a first target set of equipment including a first plurality of units of equipment. A set of time series waveforms from sensors associated with the first plurality of units of equipment are received, the time series waveforms including sensor data values. A processor is configured to process the time series waveforms to generate a plurality of derived inputs wherein the derived inputs and the sensor data values collectively comprise sensor data. The method further includes determining whether a first machine learning agent may be configured to discriminate between first normal baseline data for the first target set of equipment and first failure signature information for the first target set of equipment.

Abstract: A plant asset failure prediction system and associated method. The method includes receiving user input identifying a first target set of equipment including a first plurality of units of equipment. A set of time series waveforms from sensors associated with the first plurality of units of equipment are received, the time series waveforms including sensor data values. A processor is configured to process the time series waveforms to generate a plurality of derived inputs wherein the derived inputs and the sensor data values collectively comprise sensor data. The method further includes determining whether a first machine learning agent may be configured to discriminate between first normal baseline data for the first target set of equipment and first failure signature information for the first target set of equipment.

Abstract: A plant asset failure prediction system and associated method. The method includes receiving user input identifying a first target set of equipment including a first plurality of units of equipment. A set of time series waveforms from sensors associated with the first plurality of units of equipment are received, the time series waveforms including sensor data values. A processor is configured to process the time series waveforms to generate a plurality of derived inputs wherein the derived inputs and the sensor data values collectively comprise sensor data. The method further includes determining whether a first machine learning agent may be configured to discriminate between first normal baseline data for the first target set of equipment and first failure signature information for the first target set of equipment.

Abstract: The present invention relates to methods of hybridizing nucleic acid probes to genomic DNA.

Abstract: A play construction kit includes modules, connector parts and a storage box. The modules may be sized so that a child or adult requires two hands to move a module while in another embodiment, the modules may be sized so a small child can play with the modules at a desk or somewhere inside a room. The modules are either primary modules or secondary modules. Primary modules have at least one full aperture or at least one half-aperture. The primary modules have an aperture diameter that ranges in size but is sufficient to allow the connector part to pass through. The connector part may fit in any aperture diameter with or without friction. Secondary modules serve to support or work with said primary modules or connector parts.

Abstract: A play construction kit includes modules, connector parts and a storage box. The modules may be sized so that a child or adult requires two hands to move a module while in another embodiment, the modules may be sized so a small child can play with the modules at a desk or somewhere inside a room. The modules are either primary modules or secondary modules. Primary modules have at least one full aperture or at least one half-aperture. The primary modules have an aperture diameter that ranges in size but is sufficient to allow the connector part to pass through. The connector part may fit in any aperture diameter with or without friction. Secondary modules serve to support or work with said primary modules or connector parts.

Abstract: An apparatus for the education and entertainment of infants includes a housing that supports a plurality of objects over a crib or playpen and which rotates the objects in a circle. An audio program includes a recitation of each object when it is disposed proximate an infant disposed in the crib or playpen. Accordingly, the infant learns to associate the speech aspect of the audio presentation with the objects through a pattern of continual visual and synchronized simultaneous audio repetition and reinforcement, thereby optimally learning the names of objects and possibly even contributing to the learning of speech syntax.

Abstract: An apparatus for the education and entertainment of infants includes a housing that supports a plurality of objects over a crib or playpen and which rotates the objects in a circle. An audio program includes a recitation of each object when it is disposed proximate an infant disposed in the crib or playpen. Accordingly, the infant learns to associate the speech aspect of the audio presentation with the objects through a pattern of continual visual and synchronized simultaneous audio repetition and reinforcement, thereby optimally learning the names of objects and possibly even contributing to the learning of speech syntax.