Abstract: Methods, systems, and devices for data management are described. A client may transmit, to a server, a login request for an application. The login request may include authentication parameters associated with a user. The client may receive, from the server, an access token that supports access via a user interface to one or more services associated with the application before expiration of a time-to-live for the access token. The client may transmit, prior to expiration of the time-to-live for the access token and based on a session inactivity timeout timer being active, a refresh request for a new access token. The refresh request may include an indication of the access token. The application may receive the new access token in response to the refresh request, and the new access token supports access to the one or more services before expiration of a time-to-live for the new access token.

Abstract: Described herein is a system and method of connectivity migration of an executing virtual application and/or guest operating system. State associated with a first instance of an application and/or a guest operating system executing on a first virtual machine is captured. Information regarding connectivity state associated with a plurality of running connections between the first virtual machine and client device(s) is also captured (e.g., layers 2, 3 and 4). The captured state information can be provided to a second virtual machine which utilizes the captured station information to establish state for a second instance of the application, a second instance of the guest operating system, and/or connectivity of the plurality of running connections between the second virtual machine and client device(s). The state of the second instance of the application can be synchronized with the state of the second instance of the guest operating system.

Abstract: There is a need for more effective and efficient predictive data analysis solutions and/or more effective and efficient solutions for generating an emotional sentiment score without the use of labelled data. In one example, embodiments comprise receiving an input text sequence, generating an intermediate emotional sentiment score object based at least in part on the input text sequence and by utilizing an emotional sentiment machine learning model, generating an overall emotional sentiment score based at least in part on the intermediate sentiment score object and by utilizing an emotional sentiment score transformation object, and performing one or more prediction-based actions based at least in part on the overall emotional sentiment score.

Abstract: This invention provides methods and apparatus for performing microanalytic analyses and procedures, particularly miniaturized cell based assays. These methods are useful for performing a variety of cell-based assays, including drug candidate screening, life sciences research, and clinical and molecular diagnostics.