Abstract: Described systems and techniques enable fast and accurate semantic classification of data. Such semantic classification may be performed efficiently, e.g., in a manner that uses a minimal required set of resources to perform a given semantic classification. Moreover, described techniques dynamically improve over time, so that even when more resource-intensive operations are initially required to semantically classify data in a first iteration, similar data will be recognized more quickly and using fewer resources in later iterations.

Abstract: Described systems and techniques enable fast and accurate semantic classification of data. Such semantic classification may be performed efficiently, e.g., in a manner that uses a minimal required set of resources to perform a given semantic classification. Moreover, described techniques dynamically improve over time, so that even when more resource-intensive operations are initially required to semantically classify data in a first iteration, similar data will be recognized more quickly and using fewer resources in later iterations.

Abstract: The invention relates to methods, compositions, and splicing modulating agents comprising nucleic acid sequences, specifically, antisense oligonucleotides and gene editing compounds. The splicing modulating agents of the invention are used in methods for producing neoantigens in subjects suffering from neoplastic disorders, by the induction of aberrant splicing events. The modulators of the invention are further used by the invention in enhancing immunotherapy.

Abstract: Synchronization of an automation script can include determining an end event value for a step of an application based on an execution of the step, and synchronizing an automation script of the application using the determined end event value for the step.

Abstract: Techniques for using action significance levels in an automation system are disclosed herein. In one embodiment, an automation system includes an event detector, and event analyzer, and a player. The event detector is configured to detect an event affecting execution of an application being monitored by the automation system. The event analyzer is configured to analyze a detected event and determine importance of an action causing the event to operation of the application. Based on the determined importance, the event analyzer assigns one of a plurality of predetermined significance levels to the action. The player is configured to reproduce each action assigned a significance level at least as high as a selected replay level and to not reproduce any action assigned a significance level lower than the replay level.

Abstract: A adaptive object identification mechanism provides an object description of an object of an application that is executed by a processor, where the object description is based on attributes associated with the object. When an operation on the object is detected, the attributes of the object are sampled at the time of the operation and compared with the object description to assess whether the attributes have changed. The object description is then adjusted based on the assessment.

Abstract: In at least some embodiments, a computer system includes a processor and a computer-readable storage medium coupled to the processor and storing a scripting application. The scripting application, when executed, is configured to coordinate use of a browser engine privacy mode with emulation of user operations on a browser-hosted application.

Abstract: A method for data isolation while sharing information by a plurality of emulated users for evaluating a performance of a server executing an application may include creating a master profile for use by the plurality of emulated users. The master profile may be configured to hold shared user related configuration information shared by the emulated users. The method may also include creating script profiles configured for a specific emulated user of the emulated users. A non-transitory computer readable medium and system are also disclosed.

Abstract: A adaptive object identification mechanism provides an object description of an object of an application that is executed by a processor, where the object description is based on attributes associated with the object. When an operation on the object is detected, the attributes of the object are sampled at the time of the operation and compared with the object description to assess whether the attributes have changed. The object description is then adjusted based on the assessment.

Abstract: Techniques for using action significance levels in an automation system are disclosed herein. In one embodiment, an automation system includes an event detector, and event analyzer, and a player. The event detector is configured to detect an event affecting execution of an application being monitored by the automation system. The event analyzer is configured to analyze a detected event and determine importance of an action causing the event to operation of the application. Based on the determined importance, the event analyzer assigns one of a plurality of predetermined significance levels to the action. The player is configured to reproduce each action assigned a significance level at least as high as a selected replay level and to not reproduce any action assigned a significance level lower than the replay level.

Abstract: In at least some embodiments, a computer system includes a processor and a computer-readable storage medium coupled to the processor and storing a scripting application. The scripting application, when executed, is configured to coordinate use of a browser engine privacy mode with emulation of user operations on a browser-hosted application.