Abstract: A combination washer/dryer laundry appliance includes a recirculating process air flow system in fluid communication with a conditioning system for dehumidification and heating of the process air. The laundry appliance may be adaptable for use in a recreational vehicle with a water conservation mode setting for one or more laundry cycles. In the conservation mode, condensate water from a prior drying cycle is stored in a sump for use in a subsequent wash cycle.

Abstract: A processing device in a memory sub-system performs a first media scan operation with respect to a plurality of memory pages addressable by the ordinary wordline, wherein each page of the plurality of memory pages is contained by a respective management unit, and responsive to determining that a value of a data state metric of a memory page of the plurality of memory page addressable by the ordinary wordline satisfies a specified condition, performs a first media management operation with respect to a management unit containing the memory page.

Abstract: A method for generating treatment recommendations based on images of a facial region of a human subject comprises the steps of acquiring at least one image of the facial region and generating image data representing the at least one image; processing the image data and additional information, including at least an indication of a condition affecting an appearance of the facial region and a treatment type to treat the condition, to obtain a treatment recommendation and outputting the obtained treatment recommendation. The processing step includes a comparison substep to compare information derived from the image data with reference information to obtain a reference measure. The processing step further includes a classifying substep to obtain the treatment recommendation (63.1 . . . 8, 64.1 . . . 8) based on the reference measure.

Abstract: A system and/or method uses a trained U-Net neural network to remove flow artifacts from optical coherence tomography (OCT) angiography (OCTA) data. The trained U-Net receives as input both OCT structural volume data and OCTA volume data, but expands the OCTA volume data to include depth information. The U-Net applies dynamic pooling along the depth direction and weighs more heavily the portion of the data that follows (e.g., along the contours of) select retinal layers. In this manner the U-Net applies contextually different computations at different axial locations based at least in part on the depth index information and/or (e.g., proximity to) the select retinal layers. The U-net outputs OCT volume data of reduced flow artifacts as compared with the input OCTA data.

Abstract: An example memory sub-system includes a memory device and a processing device, operatively coupled to the memory device. The processing device is configured to initiate a scan operation on a plurality of block families of the memory device. Each of the plurality of block families is assigned to a voltage offset bin of a plurality of voltage offset bins. The processing device further determines that a number of scan operations to be performed in one scan interval is greater than a maximum number of scan operations to be performed in a scan interval. The processing device further determines based on the voltage offset bins of the plurality of block families and a time elapsed since execution of a previous scan operation of the plurality of block families, a scan priority of each of the plurality of block families, and schedules, based on the scan priority, a scan operation of one or more block families of the plurality of block families during one or more subsequent scan intervals.

Abstract: A smoker includes a smoke generator that is configured to provide a controllable method of producing smoke without creating a flame. The device includes a housing including a hopper for storing a smoking fuel within the interior of the housing. The hopper feeds the smoking fuel to a fuel conveyor that is partially within the housing and partially exterior of the housing. A motor is connected to the fuel conveyor so that operation of the motor causes the smoking fuel to move along the length of the fuel conveyor. As the smoking fuel moves along the fuel conveyor, it is heated to produce continuous smoke without producing a flame. The smoke generator is capable of controlling the quality and the quantity of the smoke produced by the smoke generator independently of the heat that is used to cook food within a cabinet of the smoker.

Abstract: Systems, methods, and computer program products are provided herein for detecting anomalies in tokenized datasets. An example method includes receiving a user input associated with a first account credential that defines a sequence of one or more alphanumeric characters and/or symbols and determining one or more credential characteristics of the sequence defined by the first account credential. The example method also includes determining a first token for the first account credential based on the one or more determined credential characteristics and detecting an anomaly for the first token implicating a validity of the first account credential. The method may further include modifying one or more metadata entries of the first token based on the detected anomaly. The anomaly for the first token may be determined based upon the frequency at which the first token is associated with account credential inputs during a time period.

Abstract: A particular option selection may be provided by an online service platform (OSP) to a client regarding one or more predefined services that the OSP can be configured to perform. These may include automatic activities option selection(s) that may trigger the OSP to automatically start one or more activities upon one or more thresholds being crossed. The OSP may apply digital rules to the dataset(s) of the client to determine whether or not to automatically start or stop activities, including producing respective resources, upon a threshold being crossed, to determine a requested resource and then push, send, or otherwise cause to be transmitted a notification regarding the produced resource or other activities.

Abstract: Systems and methods electronically generate sample dots, produce resources associated with the dots and estimate a resource for a target point from known resources of dots near the target point based on client side version of digital rules, cataloged data and coarse values previously received from the online service platform. A client receives cataloged data of a cataloged domain in which the cataloged data includes data representing a plurality of dots and a respective computed resource value for each of the dots and each dot of the plurality of dots represents a point in the cataloged domain. In response to confirming a target point is in the cataloged domain, the system discovers a closest one or more dots to the target point based on the cataloged data, estimates a statistic for a resource for the target point based on the respective computed resource values of the closest one or more dots, stores the estimated statistic in a memory, and produces the local estimate based on the estimated statistic.

Abstract: The present disclosure relates to a semiconductor device including a substrate, a first region disposed in the substrate, a terminal region disposed in the first region, a body contact region disposed in the first region and spaced apart from the terminal region, a dielectric layer disposed on the substrate over the first region between the terminal region and the body contact region, an electrically conductive layer disposed on the dielectric layer, and a continuous metallic layer disposed on the electrically conductive layer and extending to the body contact region, the continuous metallic layer disposed on the body contact region and in physical contact with a top and side portions of the electrically conductive layer. The semiconductor device may additionally include a body contact interconnect disposed on a portion of the continuous metallic layer over the electrically conductive layer.

Abstract: A processing device, operatively coupled with a memory device, performs a first programming operation on a first set of cells addressable by a first wordline of a first plane of the memory device. The processing device identifies a predefined index shift value associated with the first wordline. The processing device determines, by applying the predefined index shift value to a first index value of the first wordline, a second index value of a second wordline of a second plane of the memory device. The processing device further performs a second programming operation on a second set of cells addressable by the second wordline of the second plane.

Abstract: A system and method for appliance communication is provided. The method includes connecting an initially-connected device to a server via a network; initiating, at a first appliance, a first appliance registration process; detecting, via the first appliance, a communications signal from a second appliance; communicatively coupling the second appliance to the server via the initially-connected device; and transmitting second appliance registration data from the second appliance to the server via communicative coupling of the second appliance to the initially-connected device connected to the network.

Abstract: A method for identifying damage in a component of a wind turbine includes placing a conductive element onto at least one surface of the component of the wind turbine. The method also includes electrically connecting the conductive element into an electrical circuit. Further, the method includes monitoring a status of the electrical circuit to identify the damage in the component. In particular, when the status of the electrical circuit is open, damage is likely present in the component, and when the status of the electrical circuit is closed, damage is unlikely present in the component. Moreover, the method includes transmitting the status of the electrical circuit to a user interface for display.

Abstract: The techniques disclosed herein enable systems to enhance the efficiency and functionality of knowledge base systems through automated generation of knowledge base content such as topic definitions using a large language model. This is accomplished by utilizing a summarization module that processes incoming requests pertaining to a knowledge base topic. In response to a request, the summarization module can retrieve information related to the topic and generate an instruction directing a large language model to generate a natural language output. By generating the instruction from the specific context of the knowledge base, the disclosed techniques can ensure that outputs received from the large language model are consistent and relevant. In addition, content that was generated based on privileged information such as an access-controlled document can receive the same access controls to maintain information security.

Abstract: Washing machine appliances and methods of operating the same are provided. Such methods may include, and/or appliances may be configured for, performing a wash operation on laundry articles received in the wash chamber of the wash basket. After the wash operation, it may be determined that the load of articles is still wet, e.g., that a remaining moisture content of the laundry articles is above a threshold. Based on and in response to determining that the load is still wet, a spin cycle is performed before a beginning of a subsequent wash operation.

Abstract: A washing machine appliance may include a tub, a basket, a valve, a spout, a dispenser, a motor, and a controller. The basket may be rotatably mounted and define a chamber for receipt of articles for washing. The valve may be disposed upstream from the tub. The spout may be directed at the tub downstream from the valve. The dispenser may be upstream from the tub for dispensing detergent into the tub. The motor may be in mechanical communication with the basket. The controller may be configured for controlling the washing machine appliance. The controller may be configured to initiate an oversuds-sensitive operation. The oversuds-sensitive operation may include detecting one or more resultant conditions from one or more previous wash cycles of the washing machine appliance, determining an adjusted operating parameter based on the detected resultant conditions, and directing detergent dispensing according to the adjusted operating parameter.