Abstract: A plug connector system is described. The plug connector system includes: a plug connector; a housing on which the plug connector is installed; the housing having an opening having a first inner wall; the plug connector having a sheet-metal shield that projects at least in portions into the opening; a ring being disposed in the opening and, with an outer wall, electrically contacting the first inner wall of the opening; the sheet-metal shield electrically contacting, with a further outer wall of the sheet-metal shield, a second inner wall of the ring.

Abstract: Sequence data, such as time series data is analyzed using neural networks, for example, recurrent neural networks. The sequence data is obtained from a source. For example, a sequence data may represent time series data obtained from a sensor. As another example, the sequence of data may represent a sequence of user interactions performed by a user with an online system. The sequences of data are provided as input to a neural network. A feature vector representation of each input sequence data is extracted from the neural network. The feature vector representation is used for clustering the sequence data. Salient features of clusters of sequence data are determined. The salient features of clusters of sequence data are provided for display via a user interface.

Abstract: A plug connector system is described. The plug connector system includes: a plug connector; a housing on which the plug connector is installed; the housing having an opening having a first inner wall; the plug connector having a sheet-metal shield that projects at least in portions into the opening; a ring being disposed in the opening and, with an outer wall, electrically contacting the first inner wall of the opening; the sheet-metal shield electrically contacting, with a further outer wall of the sheet-metal shield, a second inner wall of the ring.

Abstract: Sequence data, such as time series data is analyzed using neural networks, for example, recurrent neural networks. The sequence data is obtained from a source. For example, a sequence data may represent time series data obtained from a sensor. As another example, the sequence of data may represent a sequence of user interactions performed by a user with an online system. The sequences of data are provided as input to a neural network. A feature vector representation of each input sequence data is extracted from the neural network. The feature vector representation is used for clustering the sequence data. Salient features of clusters of sequence data are determined. The salient features of clusters of sequence data are provided for display via a user interface.

Abstract: Systems and methods for processing software application metadata associated with a software application are provided. A representative method includes the step of collecting software application metadata associated with a software application. The software application metadata includes a first set of information related at least one of the following: screens, paths, and layers associated with the software application. The method further includes the step of storing the software application metadata in a data repository.

Abstract: Systems and methods for processing software application metadata associated with a software application are provided. A representative method includes the step of collecting software application metadata associated with a software application. The software application metadata includes a first set of information related at least one of the following: screens, paths, and layers associated with the software application. The method further includes the step of storing the software application metadata in a data repository.

Abstract: Systems and methods for processing software application metadata associated with a software application are provided. A representative method includes the step of collecting software application metadata associated with a software application. The software application metadata includes a first set of information related at least one of the following: screens, paths, and layers associated with the software application. The method further includes the step of storing the software application metadata in a data repository.

Abstract: Systems and methods for processing software application metadata associated with a software application are provided. A representative method includes the step of collecting software application metadata associated with a software application. The software application metadata includes a first set of information related at least one of the following: screens, paths, and layers associated with the software application. The method further includes the step of storing the software application metadata in a data repository.

Abstract: Systems and methods are disclosed for providing multi-vendor scheduling of appointments by storing calendars for a plurality of vendors in an online data storage device; for each vendor, displaying a dashboard tab to show a summary, a calendar tab to access appointments, a customer tab to access customer details, and a settings tab to access vendor details; allowing a user to search for a specific vendor or vendor(s) that meet predetermined criteria; determining if a selected vendor has an open time slot for the user; and scheduling the appointment.

Abstract: Systems and methods are disclosed for providing multi-vendor scheduling of appointments by storing calendars for a plurality of vendors in an online data storage device; allowing a user to search for a specific vendor or vendor(s) that meet predetermined criteria; determining if a selected vendor has an open time slot for the user; and scheduling the appointment.

Abstract: Systems and methods for processing software application metadata associated with a software application are provided. A representative method includes the step of collecting software application metadata associated with a software application. The software application metadata includes a first set of information related at least one of the following: screens, paths, and layers associated with the software application. The method further includes the step of storing the software application metadata in a data repository.

Abstract: An adhesive composition for bonding PET substrates, particularly components of clamshell packaging, includes a polymerizable vinyl amide compound, a comonomer, an oligomer, and a photoinitiator.