Abstract: An electrosurgical system includes an RF current generator, a handle body, and an end effector in mechanical communication with the handle body. The end effector has a first jaw including a first electrode having a first electrode surface in electrical communication with a first terminal of the generator. The end effector also includes a second jaw including a second electrode having an essentially planar second electrode surface in electrical communication with a second terminal of the generator The first jaw includes at least one feature configured to apply an amount of a compressive force to a tissue compressed between the at least one feature and the second electrode surface that differs from an amount of a compressive force applied to the tissue compressed between the first electrode surface and the second electrode surface when the first jaw is placed in a proximate position to the second jaw.

Abstract: Multiple image verification challenges can be used to identify the location of an object within an initial image. For instance, a first set of tiles is generated using the initial image. This first set is provided to a client computing device for display in a first verification challenge requesting that the user select tiles including the object. In response, a user selection of tiles of the first set is received. These selected tiles are then used to generate a second set of tiles corresponding to a sub-portion of the initial image. The second set of tiles is provided to a client computing device for display in a second verification challenge. In response to the second verification challenge, a user selection of tiles of the second set is received. This user selection of tiles of the second set is then used to determine a location of the object in the image.

Abstract: A computer implemented method of detecting neutrons in images from a tunable sensor system comprises training a deep learning process to recognize known radiation-dependent signature patterns created by neutrons in test images. The method further comprises splitting an input image into a plurality of frames and passing the plurality of frames through the deep learning process in order to recognize neutrons in the plurality of frames. Subsequently, the method comprises recombining the plurality of frames back into the input image. For each pixel within the input image, the method comprises examining pixels connected to a respective pixel to determine if a signature pattern particular to neutrons is present within the input image and counting a number of neutrons within the input image using results from the examining.

Abstract: Digital information is transferred between an application that processes a plurality of on-line transactions executed on the mainframe computer and a file system of an operating system. A programmable processor identifies the data held in memory under control of the application. The programmable processor calls a first routine to associate a portion of the data with a container of the application and calls a second routine to dynamically allocate a file of the file system. The programmable processor opens the file of the file system and calls an input/output routine of the operating system to transfer the data associated with the container to the file of the file system.

Abstract: Systems and methods for generating an animation rig using scripted reference modules are disclosed. An embodiment includes obtaining a first reference module for generating a first node of a dependency graph, where the first reference module is a precomputed rig module corresponding to the first node, obtaining a second reference module for generating a second node of the dependency graph, where the second reference module is scripting language data executed for generating the second node, generating an association between the first node and the second node in response to an input defining the association, generating the animation rig using the first node and the second node, and providing the generated animation rig to a rig interface.

Abstract: Aspects of the present disclosure provide an image-based face detection and recognition system that processes and/or analyzes portions of an image using “image strips” and cascading classifiers to detect faces and/or various facial features, such an eye, nose, mouth, cheekbone, jaw line, etc.

Abstract: In various embodiments, a player may participate in a game of a top performing player.

Abstract: A system (2000-3300, 4200-4300) and method (100, 3900, 4300) are provided for modeling and interpreting a modeled digital asset and its evolution with respect to the rights of a plurality of parties, the method comprising: executing an await function (1200, 4320) instance no more than once using one of at least one choice defined therein for disposition of the digital asset with respect to the rights of at least one of the plurality of parties, said await function instance incorporated upon the consent of the affected parties to fulfil a configured function instance associated with the at least one choice; executing an agree function (1300, 3900) instance that requires the consent of at least one of the plurality of parties to execute; and storing (4100, 4370) the results of the executed function instances in an append-only ledger (4000, 4312-4314).

Abstract: A system for authorizing a transaction includes one or more processors, and a memory storing instructions. When executed by the one or more processors, the instructions cause the system to perform operations including: receiving a configuration request associated with a financial service account via a web interface; setting a limitation in accordance with the configuration request; and generating a graphic indicium or a card number as a token for authorizing a transaction, associated with the financial service account, which satisfies the limitation in accordance with the configuration request. The token is configured to be printed on a substrate or loaded into an electronic payment system.

Abstract: Techniques and tools for reducing latency in video encoding and decoding by constraining latency due to reordering of video frames, and by indicating the constraint on frame reordering latency with one or more syntax elements that accompany encoded data for the video frames. For example, a real-time communication tool with a video encoder sets a syntax element that indicates a constraint on frame reordering latency, which is consistent with inter-frame dependencies between multiple frames of a video sequence, then outputs the syntax element. A corresponding real-time communication tool with a video decoder receives the syntax element that indicates the constraint on frame reordering latency, determines the constraint on frame reordering latency based on the syntax element, and uses the constraint on frame reordering latency to determine when a reconstructed frame is ready for output (in terms of output order).

Abstract: A disposable dental valve device is disclosed having a valve body having a tip receiving end, a hose receiving end, a lumen formed between the tip receiving end and the hose receiving end, a partial opening formed in the valve body, and a rotatable valve sealing body adapted to being inserted into the partial opening, the rotatable valve sealing body having a bore for alignment with the lumen formed between the tip receiving end and the hose receiving end, the bore having a tip receiving opening and a hose receiving opening, the rotatable valve sealing body having a check valve positioned on the tip receiving opening, and the rotatable valve sealing body having a top and a handle portion connected to the top.

Abstract: Disclosed herein are modular container systems having child-resistant containers, tray inserts and tray frames. Also disclosed are methods using the modular container systems and methods of storing substances in containers. The containers have a container base and a container cap and provide for child-resistant containers. A user can releasably remove the container cap from container base with a squeeze and lift sequence. For example, the user squeezes opposite sides of the container base, which releases a locking mechanism and allows for removal of the cap by lifting or pulling the container cap off from the container base. The components of the modular container system are modular and stackable. The modular system allow for organized, efficient, accessible and storage of the child-resistant containers. The modular container system also allows for easy counting, sorting and processing of the containers.

Abstract: A system for controlling a motion of a cell culture includes a tray adapted to hold a cell culture, a camera adapted to capture an image of the cell culture, and a device adapted to control a movement of the tray. The system also includes a processor adapted to determine a first movement of the tray, receive from the camera data representing an image of the cell culture, determine a characteristic of the cell culture based on the image data, determine a second movement of the tray based on the characteristic, the second movement being different from the first movement, and cause the tray to move in accordance with the second movement.

Abstract: Methods, systems, and computer-readable media are disclosed to generate an interface for a web service and to query the web service. A method includes generating a user interface associated with a web service. The user interface includes one or more input parameter options associated with the web service. The user interface is generated based on a service specification and one or more series specifications associated with the service specification. User input is received via the user interface, where the user input includes a selection of at least one of the one or more input parameter options. A query of the web service is generated based on the user input, and the query reflects at least one selected input parameter option.

Abstract: Generating an improved/more accurate geolocation database is provided. Given a dataset of reverse DNS hostnames for IP addresses, ground truth information, and a hierarchical geographical database, a machine learning classifier can be trained to extract and disambiguate location information from the reverse DNS hostnames of IP addresses and to apply machine learning algorithms to determine location candidates and to select a most probable candidate for a reverse DNS hostname based on a confidence score. The classifier can be used to generate an accurate geolocation database, or to provide accurate geolocation information as a service.

Abstract: Techniques are described for performing forward and backward extrapolation of data to compensate for data that has been lost due to network packet loss. The forward and backward extrapolation can be used to perform packet loss concealment. For example, when network packet loss is detected, network packets before and after the lost data can be identified. Forward and backward extrapolation can then be applied to cover the period of lost data. For example, the network packets before the period of lost data can be used to perform forward extrapolation to cover a first portion of the period of lost data. The network packets after the period of lost data can be used to perform backward extrapolation to cover a remaining portion of the period of lost data. The period of lost data can be reconstructed based at least in part on the extrapolation.