Abstract: Systems and processes for application integration with a digital assistant are provided. In accordance with one example, a method includes, at an electronic device having one or more processors and memory, receiving a natural-language user input; identifying, with the one or more processors, an intent object of a set of intent objects and a parameter associated with the intent, where the intent object and the parameter are derived from the natural-language user input. The method further includes identifying a software application associated with the intent object of the set of intent objects; and providing the intent object and the parameter to the software application.

Abstract: Devices and systems as described herein is configured to sense a signal, such as a signal from an individual. In some embodiments, a signal is a magnetic field. In some embodiments, a source of a signal is an individual's organ, such as a heart muscle. A device or system, in some embodiments, comprises one or more sensors, such as an array of sensors configured to sense the signal. A device or system, in some embodiments, comprises a shield or portion thereof to reduce noise and enhance signal collection.

Abstract: There is a need for more effective and efficient prediction data analysis. This need can be addressed by, for example, solutions for performing first-occurrence multi-disease prediction. In one example, a method includes determining a per-event-type loss value for each event type of a group of event types; determining a cross-event-type loss value based at least in part on each per-event-type loss value; training a multi-event-type prediction model based at least in part on the cross-event type loss value; generating a first-occurrence prediction based at least in part on the multi-event-type prediction model, wherein the first occurrence-prediction comprises a first-occurrence prediction item for each event type of the group of event types; and performing one or more prediction-based actions based at least in part on the first-occurrence prediction.

Abstract: The present disclosure provides user-interface methods and systems for submitting search requests to search engines and presenting search results therefrom customized using content preferences learned about a user, comprising sending query information to at least two search engines, including a query identifying desired content, and user information, including context information describing the environment in which the query information is being sent, and a user signature representing content preferences learned about the user; receiving at least one set of a search result and auxiliary information from the at least one search engine in response to sending the query information, including information describing attributes of the search result that led to the search result being chosen by the at least one search engine; ordering the at least one search result based at least in part on the auxiliary information; and presenting the ordered search results to the user.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing enhanced curve primitives to modify color gradients in vector-based graphics. To illustrate, the disclosed system can receive an input of a curve to insert into a portion of a vector-based graphic including a mesh for a color gradient. The disclosed system can then insert a discontinuity into the mesh by adding a plurality of vertices to the mesh defining two unconnected edges at the position of the curve within the portion of the vector-based graphic. After inserting the discontinuity into the mesh, the disclosed system can determine colors for the edges of the discontinuity based on one or more user-selected colors and/or one or more colors associated with the color gradient. The disclosed system can then update the color gradient in response to determining the colors for the edges of the discontinuity.

Abstract: Systems and methods are configured to extract text from images (e.g., document images) utilizing a combination of optical character recognition processes and neural network-based analysis of various images to train a machine-learning object recognition model that is configured to identify text within images based on object-comparisons between known and unknown text within images. In certain embodiments, identified text within images may be utilized to identify corresponding regions-of-interest for extraction of image data encompassing a portion of an image that may be indexed based at least in part on text identified as corresponding to the particular region-of-interest.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for removing an anchor point from a Bezier spline while preserving the shape of the Bezier spline. For example, the disclosed systems can replace adjacent input segments of an initial Bezier spline that are connected at an anchor point with a new contiguous segment that does not include an anchor point and that spans the portion of the spline covered by the adjacent segments. The disclosed systems can utilize an objective function to determine tangent vectors that indicate locations of control points for generating the new segment to replace the adjacent segments. In addition, the disclosed systems can generate a modified Bezier spline that includes the new segment in place of the adjacent segments of the initial Bezier spline.

Abstract: Provided herein are, inter alia, methods and compositions to detect, monitor and treat cancer, wherein the cancer includes amplified extrachromosomal oncogenes. The methods are useful for personalized treatment and exploit differential expression and chromatin structure of extrachromosomal oncogenes in cancer cells.

Abstract: Techniques for performing shader operations are provided. The techniques include, performing pixel shading at a shading rate defined by pixel shader variable rate shading (“VRS”) data, and updating the pixel VRS data that indicates one or more shading rates for one or more tiles based on whether the tiles of the one or more tiles include triangle edges or do not include triangle edges, to generate updated VRS data.

Abstract: The present invention relates to compounds of formula (I): wherein the variables have the meaning defined in the Specification. The compounds according to the present invention are useful for therapy and/or prophylaxis in a mammal, and in particular to spiro bicyclic compounds, pharmaceutical composition comprising such compounds, and their use as menin/MLL protein/protein interaction inhibitors, useful for treating diseases such as cancer, myelodysplastic syndrome (MDS) and diabetes.

Abstract: Systems and methods for processing webpage calls via multiple module responses are described. A system may receive, from a client device, a first call for module data associated with a set of webpage modules for presentation in a webpage. The system may subsequently transmit, to the client device based on receiving the first call, a first response including first module data associated with a first subset of the set of webpage modules. The first response may additionally include a token identifying the webpage. The server may additionally transmit, to the client device based on transmitting the first response, a second response including the token identifying the webpage and second module data associated with a second subset of the set of webpage modules that differs from the first subset of the set of webpage modules.

Abstract: Embodiments are disclosed for synchronously editing locally repeating vector geometry. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving a selection of a first plurality of segments of a vector-based object to be edited, generating a stencil mask of the first plurality of segments, the stencil mask representing segment placement and primitive types for each of the first plurality of segments, identifying a second plurality of segments of the vector-based object using the stencil mask and a stencil predicate, determining a transform between the first plurality of segments and the second plurality of segments, receiving an edit to the first plurality of segments, and applying the edit to the second plurality of segments using the transform.

Abstract: A bone preparation system kit includes a hand piece, tubing coupled to an input of the hand piece, and a nozzle with a nozzle tip coupled to an output port of the hand piece. The hand piece includes an internal passageway extending there through from the inlet port to the outlet port for forming a flow path and further includes a valve stem supported therein for movement across the internal passageway for opening and closing the internal passageway wherein flow along the flow path is blocked by the valve stem. The hand piece also includes a trigger configured to move the valve stem to thereby control the flow of fluid through the hand piece. The hand piece, nozzle, and tubing are sterilized and enclosed in a package, such as plastic or metal foil package, including a plastic or metal foil pouch, which is configured to maintain the sterilization of said bone preparation system.

Abstract: An endoscopy video feature enhancement platform (EVFEP) is connected to the output of any type endoscope system, and inputs and captures the output video. The video is visually augmented live with indicators of possible polyp detection and localization, polyp attributes, and procedure metrics, based on the collective learning of the output results of many different types of endoscopy systems on a large scale. An artificial intelligence model is trained on confirmed polyp detection previously determined by this and other EVFEP devices used with many different types of endoscope systems on a large scale. Augmented video, images and automatically generated short video clips of key procedure segments are passed to a reporting system, and supplemented with meta data.

Abstract: Systems and methods are configured to extract text from images (e.g., document images) utilizing a combination of optical character recognition processes and neural network-based analysis of various images to train a machine-learning object recognition model that is configured to identify text within images based on object-comparisons between known and unknown text within images. In certain embodiments, identified text within images may be utilized to identify corresponding regions-of-interest for extraction of image data encompassing a portion of an image that may be indexed based at least in part on text identified as corresponding to the particular region-of-interest.

Abstract: Methods, systems, and computer-readable media for accurately estimating causal effects for related events are disclosed. A plurality of estimates of causal effects of events are determined. The estimates are determined independently. A subset of the estimates are determined not to satisfy a relationship among the causal effects. A set of accurate estimates are generated based at least in part on the subset of the estimates. The accurate estimates are generated using a smoothing process, and the accurate estimates satisfy the relationship.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for efficiently and flexibly extracting reusable geometric assets from an arbitrary arrangement of vector geometry within a digital image. For example, the disclosed systems can organize vector geometry of a digital image by structuring geometric objects into groups (e.g., clusters). The disclosed systems can assign mnemonics to these groups and transform the digital image into a mnemonic sequence. Moreover, the disclosed systems can utilize various computer-implemented algorithms to identify and filter patterns within the mnemonic sequence. The disclosed systems can then generate pattern scores for these patterns and identify which patterns of geometric objects to include within a set of reusable geometric assets.

Abstract: This invention is in the field of medicinal chemistry. In particular, provided herein are compositions and methods for preventing or reversing T cell exhaustion. In certain embodiments, the present invention relates to methods of preventing or reversing T cell exhaustion by exposing T cells experiencing T cell exhaustion to a new class of small-molecules having a thiazole, imidazolepyridiazine or piperazinyl-methyl-aniline structure, or by expanding genetically engineered T cells in the presence of such small molecules.

Abstract: Systems and processes for application integration with a digital assistant are provided. In accordance with one example, a method includes receiving an audio input including a natural-language user input and identifying an intent object of a set of intent objects. The intent object may be derived from the natural-language user input. The method further includes identifying a software application associated with the intent object of the set of intent objects, providing the intent object to the software application to cause the software application to perform a task associated with the intent object, receiving a result response indicating whether the task was successfully performed, and providing an output indicating whether the task was performed.

Abstract: The present invention is directed to cellulytic host cells. The host cells of the invention expressing heterologous cellulases and are able to produce ethanol from cellulose. According to the invention, host cells expressing a combination of heterologous cellulases can be used to produce ethanol from cellulose. In addition, multiple host cells expressing different heterologous cellulases can be co-cultured together and used to produce ethanol from cellulose. Furthermore, the invention demonstrates for the first time the ability of Kluyveromyces to produce ethanol from cellulose. The yeast strains and co-cultures of yeast strains of the invention can be used to produce ethanol on their own, or can also be used in combination with externally added cellulases to increase the efficiency of saccharification and fermentation processes.