Abstract: The medical device and health tracking system can generate non-fungible tokens (NFTs) associated with a user. NFTs can include information related to medical devices implanted within a user. In some embodiments, the NFT can include other health related information of the user. The NFTs can also be associated with items used within the medical supply chain that are used in medical interventions or procedures associated with the user. The medical device and health tracking system can track the manufacture, distribution, and use or implantation of a respective medical device by generating an NFT, transferring the NFT between different systems along the supply chain, and ultimately transferring the NFT to the end-user. The NFT may be updated as the associated medical device travels through the supply chain to include data regarding its manufacture, distribution, and use within the end user. Health conditions may also be tracked by the system.

Abstract: A head-mounted display system includes a left display assembly configured to provide left-side display light and left-side test light. A left waveguide incouples the left-side display light and outcouples the left-side display light for viewing. A left optical sensor is positioned to measure the left-side test light. A left inertial measurement unit (IMU) is configured to measure an orientation of the left display assembly. A right display assembly is configured to provide right-side display light and right-side test light. A right waveguide incouples the right-side display light and outcouples the right-side display light for viewing. A right optical sensor is positioned to measure the right-side test light. A right IMU is configured to measure an orientation of the right display assembly. A logic machine is configured to assess a stereo alignment for the left- and right-side display light.

Abstract: A method including receiving a first set of one or more street level images of houses into a Machine Learned Model trained with a second set of street level images with one or more exterior features of the houses labeled, identifying the one or more exterior features in the first set of street level images by way of the Machine Learned Model, and quantifying and outputting the counts and/or two-dimensional areas for each of the identified exterior features in the first set of one or more street level images is described. Non-transitory, computer-readable storage media having instructions for executing the method steps by one or more processors as well as computer or computer systems capable of performing the method steps are also described.

Abstract: A device includes a shell including a proximal end and a distal end of the shell. The device also includes a plunger within the shell. The plunger can include a flexible stop at a proximal end of the plunger and a distal end. The device can further include an absorptive unit configured to absorb fluid within a vaginal cavity. The absorptive unit can be affixed to the distal end of the plunger. The absorptive unit can include an absorptive element affixed to a frame structure configurable to reversibly transition between a compressed and uncompressed configuration. The absorptive unit can also include a tether coupled to the absorptive unit via the frame structure. The tether can extend through the proximal end of the plunger. Related methods of use are also described.

Abstract: A method including receiving a first set of one or more street level images of houses into a Machine Learned Model trained with a second set of street level images with one or more exterior features of the houses labeled, identifying the one or more exterior features in the first set of street level images by way of the Machine Learned Model, and quantifying and outputting the counts and/or two-dimensional areas for each of the identified exterior features in the first set of one or more street level images is described. Non-transitory, computer-readable storage media having instructions for executing the method steps by one or more processors as well as computer or computer systems capable of performing the method steps are also described.

Abstract: In an aspect, the present disclosure provides a method of providing a dimensionally aware prediction for an object in an image captured by an image sensor, using a scale selective machine learning system, comprising: obtaining an input comprising image data of an object at an input image scale; generating a plurality of variant images based on re-scaling the input with a plurality of different image scaling factors, each variant image comprising the object at a variant image scale; generating a plurality of scale selective predictions based on the plurality of variant images, and assigning an in-scope response when the variant image comprises the object at an in-scope image scale, and determining a location prediction for the object based on a scale selective prediction comprising the in-scope response.

Abstract: A method including receiving a first set of one or more street level images of houses into a Machine Learned Model trained with a second set of street level images with one or more exterior features of the houses labeled, identifying the one or more exterior features in the first set of street level images by way of the Machine Learned Model, and quantifying and outputting the counts and/or two-dimensional areas for each of the identified exterior features in the first set of one or more street level images is described. Non-transitory, computer-readable storage media having instructions for executing the method steps by one or more processors as well as computer or computer systems capable of performing the method steps are also described.

Abstract: A method for reducing a clearance gap between a plurality of rotor blades and a shroud assembly of an engine includes determining, with a flight control system, that an airplane is in a first flight condition. The method also includes adjusting the clearance gap to a first clearance gap distance associated with the first flight condition. Further, the method includes receiving, with the flight control system, a demand for a second flight condition. During the second flight condition, the method includes adjusting at least two independently controllable parameters, the at least two independently controllable parameters comprising, at least, a first parameter for optimizing the clearance gap and a second parameter for satisfying a thrust demand of the engine, the first parameter having a first impact on the clearance gap, the second parameter having a second impact on the clearance gap, the first impact being greater than the second impact.

Abstract: Medical implants that include a containment layer surrounding, or surrounded by, a biodegradable medical device provide the benefit that pieces formed during degradation of the medical device are held within a constrained place and thus do not causes injury to a hosts.

Abstract: Example implementations relate to a cool fluid reservoir for managing loss of cool fluid in a coolant distribution unit (CDU). The cool fluid reservoir includes a cylinder which has an internal volume defined between an inlet and outlet, and a hollow piston that is slidably connected to the cylinder via one of the inlet or outlet to split the internal volume into a first volume portion filled with the cool fluid and a second volume portion filled with driver fluid. The first volume portion is fluidically connected to a closed fluid loop of the CDU via the hollow piston and other one of the inlet or outlet. The hollow piston is slidably driven by the driver fluid to reduce the first volume portion and inject a portion of the cool fluid from the first volume portion into the closed fluid loop based on an operating pressure of the cool fluid.

Abstract: A food product slicing apparatus for slicing food products into slices is provided. A frame mounts a drive assembly which is configured to move the food products relative to the frame, a side strapping assembly which side straps a side of the food product, and a slicing blade configured to slice the food products into slices. The side strapping assembly is mounted to the frame proximate to the drive assembly. The side strapping assembly includes a releasable clamp which couples a blade of the side strapping assembly to the frame. The clamp can be released without the use of tools.

Abstract: A biocompatible membrane composite including a cell impermeable layer and a mitigation layer is provided. The cell impermeable layer is impervious to vascular ingrowth and prevents cellular contact from the host. Additionally, the mitigation layer includes solid features. In at least one embodiment, mitigation layer has therein bonded solid features. In some embodiments, the cell impermeable layer and the mitigation layer are intimately bonded or otherwise connected to each other to form a composite layer having a tight/open structure. A reinforcing component may optionally be positioned external to or within the biocompatible membrane composite to provide support to and prevent distortion. The biocompatible membrane composite may be used in or to form a device for encapsulating biological entities, including, but not limited to, pancreatic lineage type cells such as pancreatic progenitors.

Abstract: The present disclosure provides methods, apparatuses, systems, and computer-readable mediums for encoding color lookup tables (LUTs) by an apparatus. A method includes determining a first identifier corresponding to a first LUT of a plurality of LUTs, providing, to a trained machine learning model, the first identifier and an input lattice, obtaining, from the trained machine learning model, an output lattice corresponding to the first LUT, and performing color manipulation on at least one input image using the output lattice. Each LUT of the plurality of LUTs includes mappings from input color values to output color values. The trained machine learning model has been jointly trained on the plurality of LUTs and identification information corresponding to each LUT in the plurality of LUTs.

Abstract: A method includes collecting a first set of images of a scene with a sensor in accordance with a first condition; collecting a second set of images of the scene with the sensor in accordance with a second condition; collecting one or more noise sample sets based on the first set of images and the second set of images; generating a calibrated noise model based on the one or more noise sample sets; and generating a noisy image by applying the calibrated noise model to a noise free image.

Abstract: Examples described herein relate to compact and replaceable accumulator to be utilized in a chassis-level cooling device. The accumulator is a low pressurized device having a housing, a bladder, and a compressible fluid. The housing has an inner surface defining a volume and an opening. The bladder is disposed within a volume portion and attached to the opening. The bladder includes a plurality of elongated wall sections foldably coupled to each other and defining a bladder volume therebetween. The bladder inflates by unfolding the plurality of elongated wall sections to increase the bladder volume in response to an increase in a pressure of a working fluid inside the bladder volume. The compressible fluid is contained in a remaining volume portion between the inner surface of the housing and the bladder. The compressible fluid is compressed to an offset pressure in response to inflation of the plurality of elongated wall sections.

Abstract: Systems and methods for processing geographical zones are provided. The method involves operating at least one processor to: define a bounding box surrounding a geographical zone; iteratively partition the bounding box into a plurality of bounding boxes by, starting with the bounding box in the first iteration: determine whether the bounding box contains more than a predetermined maximum number of vertices; divide the bounding box into two additional bounding boxes if the bounding box contains more than the predetermined maximum number of vertices, repeat the steps of determining and dividing the bounding box for the additional bounding boxes in the next iteration until each additional bounding box does not contain more than the predetermined maximum number of vertices; generate a binary tree data structure representing the geographical zone; search the binary tree data structure to determine whether a vehicle is located within one of the bounding boxes.

Abstract: A multi-material iron-type golf club head having a shell that defines a closed internal volume, where the head is composed of at least two different materials, incorporates a variable face thickness, and achieves a high maximum characteristic time.

Abstract: Disclosed herein are implantable 3-dimensional large capacity device assemblies, specifically, large capacity device assemblies for encapsulating pancreatic progenitor cells for treatment of diabetes.

Abstract: A multi-material iron-type golf club head having a shell that defines a closed internal volume, where the head is composed of at least two different materials and achieves a high maximum characteristic time.