Abstract: A quantization parameter signalling mechanism for both SDR and HDR content in video coding is described using two approaches. The first approach is to send the user-defined QpC table directly in high level syntax. This leads to more flexible and efficient QP control for future codec development and video content coding. The second approach is to signal luma and chroma QPs independently. This approach eliminates the need for QpC tables and removes the dependency of chroma quantization parameter on luma QP.

Abstract: A glass composition includes SiO2, Al2O3, B2O3, alkali metal oxides, alkaline earth oxides, TiO2, CeO2, Fe2O3, and is provides a yellow-colored glass article.

Abstract: Methods and systems for frame rate scalability are described. Support is provided for input and output video sequences with variable frame rate and variable shutter angle across scenes, or for input video sequences with fixed input frame rate and input shutter angle, but allowing a decoder to generate a video output at a different output frame rate and shutter angle than the corresponding input values. Techniques allowing a decoder to decode more computationally-efficiently a specific backward compatible target frame rate and shutter angle among those allowed are also presented.

Abstract: A computer implemented method (400) of locating a plurality of mobile device trajectories (301) relative to each other and a map (1, 1?), the mobile device trajectories (301) comprising a time series of position nodes (303) joined by edges (305), the method (400) comprising: obtaining an input pose graph (311) comprising a plurality of mobile device trajectories (301) and a plurality of first constraints (309) defining the position and orientation of nodes (303) and edges (305) of the trajectories relative to each other; performing a non-linear optimisation process on the input pose graph (311) based on the first constraints (309), to reduce a cost function associated with the first constraints (309), the non-linear optimisation process providing a modified pose graph (313); extracting one or more sub-graphs from the modified pose graph (313), and for each sub-graph, individually processing the sub-graph to map match the nodes (303) and edges (305) of the sub-graph to features defined in the map (1,1?); and g

Abstract: An insulin management method implemented by an insulin delivery device is provided. The method includes detecting a starting activity associated with preparation of use of the insulin delivery device in the form of an automatic insulin delivery device attachable to a user's body for a duration of a fasting period within an overall time period. The method includes initiating automated delivery of insulin in the form correction bolus doses in response to periodically received blood glucose measurements during the fasting period. Other methods, devices and systems are also provided.

Abstract: An insulin management method is provided. The method includes providing an insulin delivery device, wherein the insulin delivery device is in the form of an automatic insulin delivery device attachable to a user's body for the duration of a fasting period. The method includes delivering insulin from the insulin delivery device during the fasting period within an overall time period in the form of correction bolus doses of insulin in response to received blood glucose measurements. The insulin delivery device refrains from administering basal insulin at a preset or default rate or in a preset or default pattern. Insulin is received by the user from a non-fasting insulin management modality during a non-fasting period within the overall time period and the non-fasting insulin management modality provides at least one of a basal dose of insulin and bolus doses of insulin. Other methods, devices and systems are also provided.

Abstract: According to some embodiments, an insulin management method implemented by an insulin delivery system is provided. The method includes determining an assumed insulin on board based on an assumed external dose calculated to correct an initial blood glucose value of the user to a target blood glucose. The method includes delivering insulin from an insulin delivery device with the insulin in the form of a plurality of correction bolus doses during a fasting period in response to received blood glucose measurements, the correction bolus doses compensated for by a determined insulin on board, wherein for at least a first correction bolus dose of the plurality of correction bolus doses the determined insulin on board equals the assumed insulin on board. Other systems, devices and methods are also provided.

Abstract: A neural network is trained using transfer learning to analyze medical image data, including 2D, 3D, and 4D images and models. Where the target medical image data is associated with a species or problem class for which there is not sufficient labeled data available for training, the system may create enhanced training datasets by selecting labeled data from other species, and/or labeled data from different problem classes. During training and analysis, image data is chunked into portions that are small enough to obfuscate the species source, while being large enough to preserve meaningful context related to the problem class (e.g., the image portion is small enough that it can't be determined whether it is from a human or canine, but abnormal liver tissues are still identifiable). A trained checkpoint may then be used to provide automated analysis and heat mapping of input images via a cloud platform or other application.

Abstract: A method for adjusting device system settings in response to analysis of displayed content. In some embodiments, a processor may extract content from contents displayed on a screen of a device. The processor may analyze features of the content. The processor may classify the content as belonging to a content class, based on analysis of the content features, utilizing a machine learning model. The processor may update the device system settings based on the content class.

Abstract: A medication fluid delivery device and methods are provided with the delivery device having a dispensing unit and a drive unit that are attachable together. The dispensing unit includes a dispenser for delivering medication fluid to a user and a reservoir configured to be filled with a variable amount of medication fluid received from a medication fluid injector. The drive unit includes a control unit that controls the drive unit and causes medication fluid in the reservoir to be pumped through the dispenser and includes a registration mechanism configured to act with the dispensing unit to determine a state the reservoir including an initial level of the filled reservoir.

Abstract: DNA cleaving enzymes are disclosed. The DNA cleaving enzymes are fused to a heterologous DNA binding domain that is designed to bind to a target nucleic acid sequence. Nucleic acids and expression cassettes encoding the DNA cleaving enzymes are also provided. Methods for genome editing using the DNA cleaving enzymes, fusion proteins, and compositions thereof are disclosed herein.

Abstract: An embodiment for expanding a search query is provided. The embodiment may include receiving a stopping criterion for stopping a search. The embodiment may also include receiving an initial search query. The embodiment may further include submitting the initial search query to an information retrieval system. The embodiment may also include identifying enrichment terms from the retrieved initial set of documents. The embodiment may further include generating a subsequent search query that includes one or more enrichment terms from the retrieved initial set of documents. The embodiment may also include submitting the subsequent search query to the information retrieval system. The embodiment may further include determining whether the stopping criterion is met, and in response to determining the stopping criterion is not met, iterating identifying, generating, submitting steps until the stopping criterion is met.

Abstract: A neural network is trained using transfer learning to analyze medical image data, including 2D, 3D, and 4D images and models. Where the target medical image data is associated with a species or problem class for which there is not sufficient labeled data available for training, the system may create enhanced training datasets by selecting labeled data from other species, and/or labeled data from different problem classes. During training and analysis, image data is chunked into portions that are small enough to obfuscate the species source, while being large enough to preserve meaningful context related to the problem class (e.g., the image portion is small enough that it can't be determined whether it is from a human or canine, but abnormal liver tissues are still identifiable). A trained checkpoint may then be used to provide automated analysis and heat mapping of input images via a cloud platform or other application.

Abstract: Customized assistive gripping devices in accordance with embodiments of the invention are disclosed. In one embodiment, a customized assistive gripping device, comprising a body comprising an outer surface that conforms to an interior contour of a user's hand in a gripping configuration; and a slot located inside the body, wherein the slot comprises a first opening for receiving an object.

Abstract: Methods, systems, and bitstream syntax are described for constrained processing in video coding. Using one or more syntax elements and either explicit or implicit signaling, an encoder may signal to compliant decoders that certain features of the main profile, such as subpictures and multi-layered scalable coding, are disabled.

Abstract: A deroll control system includes an outer housing, a detector configured to capture an image, an annular torsional flexure, at least one drive and a controller configured to control the at least one drive. The annular torsional flexure has a rotatable inner mount surface to which the detector is mounted, a fixed outer mount surface fixed to the outer housing and spaced radially apart from the rotatable inner mount surface, and a flexure region having a plurality of flexures spaced radially between the inner mount surface and the outer mount surface. The at least one drive is coupled to the inner mount surface of the torsional flexure and is configured to cause a counter-rotation of the inner mount surface and the detector about a central rotational axis perpendicular to an image plane to correct a rotation of the image as the detector is capturing the image.

Abstract: A spray coating apparatus that applies a coating material onto outer surfaces of glass objects includes a coating material source that includes a coating material. A spray nozzle assembly includes a spray nozzle fluidly connected to the coating material source. The spray nozzle is arranged and configured to direct the coating material in a first direction toward the glass object and provide an overspray amount of the coating material by the glass object such that the overspray amount bypasses a non-line of sight area of the glass object. A turn nozzle assembly includes a turn nozzle fluidly connected to a pressurized gas source. The turn nozzle is arranged and configured to direct pressurized gas in a second direction different than the first direction toward the non-line of sight area of the glass package to redirect the coating material onto the non-line of sight area.

Abstract: Methods and systems for frame rate scalability are described. Support is provided for input and output video sequences with variable frame rate and variable shutter angle across scenes, or for input video sequences with fixed input frame rate and input shutter angle, but allowing a decoder to generate a video output at a different output frame rate and shutter angle than the corresponding input values. Techniques allowing a decoder to decode more computationally-efficiently a specific backward compatible target frame rate and shutter angle among those allowed are also presented.