Abstract: Systems, methods, and apparatus for dynamically partitioning items in a list into one or more subsets in a manner tailored to a current modality of a client device is disclosed herein. Multimodal client devices can engage in a variety of interactions across the multimodal spectrum including voice only interactions, voice forward interactions, multimodal interactions, visual forward interactions, visual only interactions, etc. A list can be partitioned into subsets in part based on a currently modality of a multimodal device, one or more list attributes indicating additional information about the list, etc.

Abstract: Systems and methods of leveraging machine learning to predict user generated content are provided. For instance, first entity data associated with an entity can be received. The first entity data can include user specified data associated with an attribute of the entity. The first entity data can be input into a machine-learned content prediction model. Inferred entity data can be received as output of the machine-learned content prediction model. The inferred entity data can include inferred data descriptive of the attribute of the entity.

Abstract: Systems, methods, and apparatus for dynamically partitioning items in a list into one or more subsets in a manner tailored to a current modality of a client device is disclosed herein. Multimodal client devices can engage in a variety of interactions across the multimodal spectrum including voice only interactions, voice forward interactions, multimodal interactions, visual forward interactions, visual only interactions, etc. A list can be partitioned into subsets in part based on a currently modality of a multimodal device, one or more list attributes indicating additional information about the list, etc.

Abstract: Systems and methods of leveraging machine learning to predict user generated content are provided. For instance, first entity data associated with an entity can be received. The first entity data can include user specified data associated with an attribute of the entity. The first entity data can be input into a machine-learned content prediction model. Inferred entity data can be received as output of the machine-learned content prediction model. The inferred entity data can include inferred data descriptive of the attribute of the entity.

Abstract: The present invention relates to a novel glycoprotein-A repetitions predominant protein (GARP) surface marker for mesenchymal stem cells, specifically activated mesenchymal stem cells, and to a method for the isolation and/or identification of mesenchymal stem cells based on the detection of the glycoprotein-A repetitions predominant protein (GARP) surface marker. The invention also relates to mesenchymal stem cells expressing said marker and to the uses thereof.

Abstract: A process is provided for carrying out a task, such as enabling a customer to submit a report, feedback or other comments electronically to an online computer program, then providing a prompt on-site response to those comments. The process may be enabled by a system that includes the online computer program, which is accessible from a mobile electronic device, as well as a detectable code unique to a location from which comments are to be provided, and to which the comments may pertain. The detectable code may be scanned or otherwise sensed with the mobile electronic device, which may then communicate with the program (e.g., by way of application software on the mobile electronic device) to provide data regarding the location to the program. The program may then initiate an appropriate response to the data, or task, which may be promptly, or even immediately, carried out at the location.

Abstract: A learning component instruction development/design environment system is provided. The system includes; web servers operatively connected to communication and streaming media servers, application servers, a component and media repository and a database. The system is configured to perform one or more of the following methods; a method of editing a learning sequence in a computer based instructional development/design environment, a method of interacting with a learning sequence, and a method of analyzing a sequence session.

Abstract: This invention relates to a novel microfluidic device and methods of using this device to conduct in vitro studies on the reaction and effects of various compounds on cells. More particularly, it relates to a method for using stop flow in a microfluidic system to study the effect of compounds on individual cells.