Abstract: Presenting first drawer area on a first display device in an instrument panel of a vehicle, the first drawer area presented in an extended state; presenting second drawer area on a second display device in the instrument panel of the vehicle, the second drawer area presented in a retracted state; receiving first transition command regarding the first and second drawer areas; and in response to receiving the first transition command: presenting the first drawer area in the retracted state on the first display device, wherein the first content is not visible in the first drawer area in the retracted state; and presenting the second drawer area in the extended state on the second display device, wherein the first content of the first application is visible in the second drawer area.

Abstract: The disclosed technology teaches facilitate User and Entity Behavior Analytics (UEBA) by classifying a file being transferred as encrypted or not. The technology involves monitoring movement of a files by a user over a wide area network, detecting file encryption for the files using a trained classifier, wherein the detecting includes processing by the classifier some or all of the following features extracted from each of the files: a chi-square randomness test; an arithmetic mean test; a serial correlation coefficient test; a Monte Carlo-Pi test; and a Shannon entropy test, counting a number of the encrypted files moved by the user in a predetermined period, comparing a predetermined maximum number of encrypted files allowed in the predetermined period to the count of the encrypted files moved by the user and detecting that the user has moved more encrypted files than the predetermined maximum number, and generating an alert.

Abstract: Disclosed are methods and devices for loading a liquid sample into an array substrate with a plurality of compartments, for example, a dPCR chip. The method uses a loading device having a single flat surface to efficiently load a liquid sample into a plurality of compartments in the array substrate.

Abstract: According to one embodiment, a computerized method for detecting malware is described. The method includes receiving configuration information that identifies (i) at least one type of lure data and (ii) one or more locations of a system operating within a virtual machine for placement of the lure data into the system. The lure data is configured to entice interaction of the lure data by malware associated with an object under analysis. Thereafter, the lure data is placed within the system according to the configuration information and lure data information is selectively modified. The information may include a name or content within a directory including the lure data. During processing of an object within the virtual machine, a determination is made whether the object exhibits file altering behavior based on a comparison of actions performed that are associated with the lure data and one more known file activity patterns.

Abstract: According to one embodiment, a threat detection platform is integrated with at least one virtual machine that automatically performs a dynamic analysis of a received object and monitors the processing during the dynamic analysis for a change to a file system within the virtual machine wherein the change involves a lure file placed in the file system. The file system is configured based on a received configuration file. Upon detection of a change in the file system associated with a lure file, the changes associated with the lure file during processing are compared to known file activity patterns of changes caused by file altering malware to determine whether the object includes file altering malware.