Abstract: A vent assembly for use with an oven. The vent assembly includes polymeric end caps that are ultrasonically molded to a metal bracket. The metal bracket is coupled to a lower fin and an upper fin. The polymeric end caps include support surfaces for holding sections of the lower fin, the upper fin, and the metal bracket.

Abstract: A distributed data storage system comprises features for integration with application orchestrators such as Kubernetes, and includes a proprietary Container Storage Interface (CSI) driver. Features include setting snapshot scheduling and retention policies, and a “container data mover” that replicates data from a source to a distinct destination distributed data storage system. The migration may be configured one-to-one, one-to-many, unidirectional, and/or bi-directional. Metadata-based snapshots and metadata-based changed block tracking identify payload data to move from source to destination within application orchestrator frameworks at both ends. Payload data is migrated from source to destination using different techniques than those used for migrating metadata, e.g., kernel-to-kernel for copying payload data versus ordinary metadata writes. An illustrative barrier logic ensures that the migration follows a controlled progression of operations.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method performed by an operation, administration and maintenance (OAM) controller for facilitating continuous integration and continuous deployment (CI-CD) in a wireless communication system is provided. The method includes transmitting, to a network slice management service (NSMS) consumer, a request to trigger a test upgraded technique for a network function (NF), wherein the request to trigger the test upgraded technique comprises at least one parameter indicated as part of a test network slice information object class (IOC); receiving, from the NSMS consumer, a trigger test response based on the request to trigger the test upgraded technique; and configuring at least one user equipment (UE) with at least one test slice identifier based on the trigger test response.

Abstract: A system and method for non-invasively monitoring and troubleshooting a massive parallel processing environment that may include a digital ecosystem having a data lake. The system may include a data transporter, a data ingester, a data chef, and a separate message producer at each of the data transporter, data ingester, and data chef. Log data from the message producers may be transmitted to a memory associated with a processor for organization of the log data by topic, such as a Kafka topic, into instrumentation data that may indicate performance of different portions of the system. The system may further include a message consumer, such as Kafka message consumer, to enable the presentation of the instrumentation data to be interactively displayed to a user on one or more electronic dashboards for monitoring and troubleshooting of performance issues.

Abstract: Devices, networks, systems, methods, and processes for an Augmented Reality (AR) based device management. An AR device of the present disclosure can receive an image from a camera. The image may depict one or more objects. The AR device can determine device position data, including a position and an orientation, of the AR device. The AR device can identify the one or more objects in the image based on the device position data. The AR device may identify one or more controllers associated with the objects. The AR device can retrieve control data associated with the objects from the one or more controllers. The AR device may superimpose the control data on the image to generate an augmented image. The AR device can display the augmented image to a user. The AR device may further generate one or more control signals associated with the one or more objects.

Abstract: Systems and methods of monitoring inventory of a product storage facility include an image capture device configured to move about the product storage areas of the product storage facility and capture images of the product storage areas from various angles. A computing device coupled to the image capture device obtains the images of the product storage areas captured by the image capture device and processes the obtained images of the product storage areas to detect individual products captured in the obtained images. Based on detection of the individual products captured in the images, the computing device analyzes each of the obtained images to extract meta data from the packaging the individual products to detect one more keywords and determine the locations of the detected keywords on the packaging, and then utilize this information to predict an identity of the products associated with the packaging.

Abstract: Embodiments include an audio system comprising an audio device, a speaker, and a processor. The audio system is configured to receive data from one or more sensors corresponding to persons in a room and/or characteristics of a room, and responsively take action to modify one or more characteristics of the audio system, share the information with other systems or devices, and track data over time to determine patterns and trends in the data.

Abstract: PYY analogs are disclosed that include modifications that increase half-life when compared to native, human PYY, as well as additional modifications that increase potency and selectivity to the NPY2 receptor. Pharmaceutical compositions also are disclosed that include one or more of the PYY analogs described herein in a pharmaceutically acceptable carrier. Methods of making and using the PYY analogs also are disclosed, especially for treating obesity and obesity-related diseases and disorders such as type II diabetes mellitus.

Abstract: Devices, networks, systems, methods, and processes for an Augmented Reality (AR) based device management. An AR device may receive an image depicting one or more objects, from a camera. The AR device may determine position data, including a position and an orientation, of the AR device, and transmit the position data and the image to an application server. The application server may identify the one or more objects in the image and obtain status data associated with the one or more objects. The application server may generate overlay data based on the status data of the objects. The application server may transmit the overlay data to the AR device. An augmented image generated based on the overlay data may be displayed on the AR device to present the object status data. Such augmented images integrate information with real-world objects, providing instant access to object status data and enhancing user understanding.

Abstract: Methods and systems are provided for inferring thickness and volume of one or more object classes of interest in two-dimensional (2D) medical images, using deep neural networks. In an exemplary embodiment, a thickness of an object class of interest may be inferred by acquiring a 2D medical image, extracting features from the 2D medical image, mapping the features to a segmentation mask for an object class of interest using a first convolutional neural network (CNN), mapping the features to a thickness mask for the object class of interest using a second CNN, wherein the thickness mask indicates a thickness of the object class of interest at each pixel of a plurality of pixels of the 2D medical image; and determining a volume of the object class of interest based on the thickness mask and the segmentation mask.

Abstract: A dynamic data policy creation process utilizes certain supervised learning processes to classify data criticality for tagged clients to provide dynamic policy definitions and process adhoc (special) backup requests. Such embodiments prevent the need to manually determine criticality and create protection policies whenever a new data object into the system. A data tagger and KNN-based classifier provide an intelligent solution to data protection ecosystems to meet the dynamic request of data objects through a dynamic backup policy creation system and method that uses certain artificial intelligence (AI) and machine learning (ML) based solutions.

Abstract: Examples provide improved methods for authorizing contactless payment card transactions based on merchant proximity. Examples include identifying two historical card-present transactions that occur within a time interval using the same payment card and creating a merchant proximity pair that includes the two identified merchant locations. A first card-present payment card transaction using a first payment card at the first merchant location is authorized. After a contactless payment card transaction that uses the same payment card is received, this transaction is authorized if the first merchant location and the second merchant location are in a merchant proximity pair together, and if the contactless payment card transaction occurs within a time interval of the earlier transaction, thereby avoiding a decline of the contactless payment card transaction.

Abstract: A client machine writes to and reads from a virtual disk on a remote storage platform. Metadata is generated and stored in replicas on different metadata nodes of the storage platform. A modified log-structured merge tree is used to store and compact string-sorted tables of metadata. During file storage and compaction, a consistent file identification scheme is used across all metadata nodes. A fingerprint file is calculated for each SST (metadata) file on disk that includes hash values corresponding to regions of the SST file. To synchronize, the fingerprint files of two SST files are compared, and if any hash values are missing from a fingerprint file, then the key-value-timestamp triples corresponding to these missing hash values are sent to the SST file that is missing them. The SST file is compacted with the missing triples to create a new version of the SST file. The synchronization is bi-directional.

Abstract: An apparatus configured as an entropy source circuit includes a bistable circuit, a first latch circuit, a charge pump circuit, and an oscillator circuit. The bistable circuit generates random bits based on an input clock signal and a plurality of voltage adjustment signals. The first latch circuit is coupled to the bistable circuit and generates entropy bits based on the random bits. The charge pump circuit is coupled to the latch circuit and generates the plurality of voltage adjustment signals based on the entropy bits and a plurality of clock phases (e.g., a redistribute clock signal and a precharge clock signal). The entropy source circuit can be coupled in a ring topology with a plurality of other entropy source circuits, where the plurality of clock phases can be generated based on output clock signals received from at least one of the plurality of other entropy source circuits.

Abstract: Cross-connected coupled inductor structures are disclosed herein. An example coupled inductor includes an enclosure having a left section and a right section, a front surface opposite a back surface, and a top surface opposite a bottom surface, a first plane of the front and back surfaces orthogonal to a second plane of the top and bottom surfaces. The example coupled inductor also includes a first conductor having a first terminal proximate to an intersection of the bottom surface and the front surface of the right section of the enclosure, and a second terminal proximate to an intersection of the bottom surface and the back surface of the left section of the enclosure. The example coupled inductor also includes a second conductor having a third terminal proximate to an intersection of the bottom surface and the front surface of the left section of the enclosure, and a fourth terminal proximate to an intersection of the bottom surface and the back surface of the right section of the enclosure.

Abstract: Examples provide a system for filtering the contents of adjacent item storage compartments from item recognition results obtained using computer vision (CV) for more accurate mapping of item locations within a retail environment. A filter manager selects a vertical member and tracks it throughout a series of images generated by an image capture device. The selected vertical member defines at least a portion of a target compartment in each image. The vertical member can be a display case door or a vertical steel bar defining the side of an item storage compartment. A set of adjacent items located on each side of the target compartment is filtered from the item recognition results. The target compartment location is determined based on a location tag of the target compartment. The items remaining after filtering are mapped to the target compartment location while reducing CV item location false positives.

Abstract: Disclosed are systems, apparatuses, methods, and computer-readable media for providing security postures for a service provided by a heterogenous system. A method for verifying trust by a service node includes receiving a request for a security information of the service node from a client device, wherein the request includes information identifying a service to receive from the service node, identifying a related node to communicate with the service node based on the service, after identifying the related node, requesting a security information of the related node, generating a composite security information from the security information of the service node and the security information of the related node, and sending the composite security information to the client device. The composite security information provides security claims for a service implemented by a heterogenous devices that have different trusted execution environments.

Abstract: Certain aspects of the present disclosure provide techniques for managing loss of user equipment (UE) context information during internet protocol multimedia subsystem (IMS) procedures. An example method includes starting an internet protocol multimedia subsystem (IMS) procedure failure reset timer, transmitting, while the IMS Procedure Failure Reset Timer is running, one or more IMS session initiation protocol (SIP) messages to a network entity, detecting that the IMS Procedure Failure Reset Timer has expired without receiving an IMS response message from the network entity responding to the one or more IMS SIP messages, determining, in response to detecting that the IMS Procedure Failure Reset Timer has expired without receiving an IMS response message, that a synchronization timer associated with a connection between the UE and the network entity is running, and performing, based on the determination that the synchronization timer is running, a non-access stratum (NAS) procedure with the network entity.

Abstract: A food product and/or an ingredient thereof can include: a lipid component, structured protein isolates, and/or any other ingredients. The method for forming structured protein isolates can include: obtaining protein isolate units from a protein source and collecting the structured protein isolates. In variants, the method can function to produce: a food product with target characteristics (e.g., stretchy and/or meltable characteristics), a replacement (e.g., analog) for a target food product, an ingredient used to manufacture a food product, and/or any other product.

Abstract: Performing changed sector backups on a volume to improve the throughput of incremental backups for block-based backups by overwriting only modified data on each changed block. Latency reduction is achieved by not overwriting the changed block as a whole. The previous backup is cloned and the batch file in the clone is updated by considering the incremental block extents. The incremental data write is performed only on the changed data of each incremental block from a couple of offset values from the previous backup's clone. Dynamic disk rather than differencing disk containers are used for snapshots. Use of a previous backup clone eliminates the need for temporary virtual disk containers, and fixed-size segmentation at the target reduces fragmentation and eliminates the need to enforce variable-sized segmentation.