Abstract: A resource exclusion method and apparatus, and a device and a storage medium, relating to the field of communications. The method is applied to a first terminal, and comprises: determining a quantity of reserved periods Q of a second terminal according to a resource reserved period Prx and a threshold Tscal, the threshold Tscal being determined according to a predetermined value; and when a first resource set overlaps a second resource set, excluding a target resource in the first resource set from a candidate resource set in a resource selection window, the second resource set being determined according to the resource reserved period Prx and the quantity of reserved periods Q, wherein the first resource set comprises at least one resource that may be used by the first terminal, and the second resource set comprises at least one resource that can be used by the second terminal.

Abstract: An image sensor structure including a substrate, a nanowire structure, a first conductive line, a second conductive line, and a third conductive line is provided. The nanowire structure includes a first doped layer, a second doped layer, a third doped layer, and a fourth doped layer sequentially stacked on the substrate. The first doped layer and the third doped layer have a first conductive type. The second doped layer and the fourth doped layer have a second conductive type. The first conductive line is connected to a sidewall of the second doped layer. The second conductive line is connected to a sidewall of the third doped layer. The third conductive line is connected to the fourth doped layer.

Abstract: A double-chambers inflatable kayak, including an upper chamber and a lower chamber which are fixedly connected to each other by a connecting portion and between which a cavity is formed, wherein the upper chamber includes a cockpit hole and a first air valve provided on the surface, the cockpit hole being in communication with the cavity, and the first air valve being used to inflate and deflate the upper chamber, and wherein the lower chamber includes a second air valve which is used to inflate and deflate the lower chamber.

Abstract: Techniques for implementing an integrated testing tool for data replication are disclosed. In some embodiments, a software tool performs operations comprising: causing a first set of user interface elements to be displayed on a computing device; receiving, via the first set of user interface elements, a data replication configuration identifying an adapter, a source database, and a target database; storing the data replication configuration in an embedded database; causing a second set of user interface elements to be displayed on the computing device; receiving, via the second set of user interface elements, a data generation configuration identifying a table in the source database; generating random data in the table based on the data generation configuration; instructing the adapter to replicate the source data from the source database onto the target database based on the data replication configuration; and causing a log of events to be displayed on the computing device.

Abstract: Temporary access to a digital whiteboard is enabled for conference participants during a conference (e.g., a video conference). Based on a request to share a digital whiteboard with conference participants during a conference, ones of the conference participants to which to grant temporary access permissions for the digital whiteboard are determined. The temporary access permissions are granted to enable the ones of the conference participants to access the digital whiteboard during the conference. Based on an event occurrence, which may, for example, correspond to a termination of the conference or a disconnection of an owner of the digital whiteboard from the conference, the temporary access permissions are revoked to restrict further access to the digital whiteboard by the ones of the conference participants.

Abstract: A deep learning fault diagnosis method includes the following steps: a fault diagnosis data set X is processed based on sliding window processing, to obtain a picture-like sample data set {tilde over (X)}, and obtain an attention matrix A of the picture-like sample data set {tilde over (X)}; and a 2D-CNN model is constructed to process the picture-like sample data set {tilde over (X)} to obtain a corresponding feature map F, and in the meantime, the feature map F is processed based on channel-oriented average pooling and channel-oriented maximum pooling to obtain an output P1 of the average pooling and an output P2 of the maximum pooling, and a weight matrix W is obtained based on the attention matrix A, the output P1 of the average pooling, and the output P2 of the maximum pooling, so that an output of the model is a feature map {tilde over (F)} based on an attention mechanism, where {tilde over (F)}=WF.

Abstract: An information handling system may receive a request from a particular remote cluster regarding a cluster scaling event; receive first information from a plurality of other remote clusters indicative of a success or a failure of a corresponding cluster expansion event that was performed at such other remote clusters; receive second information from the plurality of other remote clusters indicative of scores for such other remote clusters in a plurality of metrics; determine, based on the first and second information, a ranking of the metrics based on their criticality to the cluster scaling event; receive third information from the particular remote cluster indicative of scores for the particular remote cluster in the plurality of metrics; and determine a likelihood of success for the cluster scaling event based on the determined ranking of the metrics and the scores for the particular remote cluster in the plurality of metrics.

Abstract: An energy-saving strategy formulation method for a semi-automatic production line based on model predictive control is performed as follows. max-plus algebra model is constructed, based on which an optimization objective function with the WIP products as discrete elements and sleep start moment and sleep end moment of the automated device as control variables is established. A first unoptimized WIP product is substituted into the optimization objective function, and the optimization objective function is solved to obtain an optimal sequence, in which a first set of values is output as optimization result. Whether all WIP products have been optimized is determined, and if yes, an energy-saving strategy is generated and used to control the automated device, otherwise, the optimization result is treated as disturbance information to be incorporated into the modeling. An energy-saving strategy formulation system is also provided.

Abstract: The present disclosure provides an air-assisted ultrasonic magnetization electrostatic nozzle, and belongs to the technical field of agricultural equipment. The air-assisted ultrasonic magnetization electrostatic nozzle includes a Laval tube, a liquid inlet section, a charging electrode plate, and a resonant cavity. After being accelerated by the Laval tube, an air impacts a liquid that enters through the liquid inlet section arranged at an outlet end of the Laval tube. The liquid is impacted into fine droplets and the fine droplets are positively electrified after passing through the charging electrode plate arranged at an outlet end of the liquid inlet section, to obtain electrified droplets. The electrified droplets enter the resonant cavity and are magnetized, to obtain magnetized droplets. The magnetized droplets are atomized and sprayed out by a metal film arranged at an outlet end of the resonant cavity.

Abstract: Techniques for learning and using content type embeddings. The content type embeddings have the useful property that a distance in an embedding space between two content type embeddings corresponds to a semantic similarity between the two content types represented by the two content type embeddings. The closer the distance in the space, the more the two content types are semantically similar. The farther the distance in the space, the less the two content types are semantically similar. The learned content type embeddings can be used in a content suggestion system as machine learning features to improve content suggestions to end-users.

Abstract: Provided are a Ganoderma lucidum compound preparation, and a preparation method and use thereof. The preparation method includes: mixing a superfine powder of a Ganoderma lucidumfruiting body, ?-cyclodextrin and a part of water to allow embedding to obtain a first feed liquid; mixing the first feed liquid with a composite colloid stabilizer solution to obtain a second feed liquid, a colloid stabilizer in the composite colloid stabilizer solution including at least three agar, guar gum, locust bean gum, carrageenan, and xanthan gum; mixing the second feed liquid with a metal ion solution to allow adjustment to acidic and shearing sequentially to obtain a third feed liquid, metal ions in the metal ion solution including iron ions, calcium ions, or zinc ions; and mixing the third feed liquid with remaining water, subjecting a resulting mixture to homogenization and heating sequentially to obtain the Ganoderma lucidum compound preparation.

Abstract: The disclosure provides a kit and method using the kit for analyzing a sample, particularly blood. The kit may comprise a device (a) for sample collecting, mixing, staining, and transferring and a device (b) for sample distribution and imaging device. The device (a) comprises part (1) and an optional part (2) connected to each other. The part (1) is a capillary tube with reagent coated inside. The part (2) is used for providing an external force to suck in and/or push out the sample. The device (b) comprises two plates opposing to each other and defining an interior cavity, and a sample inlet. The interior cavity is in fluid communication with the exterior liquid sample contact area. The liquid sample flows into the spacing between the two plates through the sample inlet and a sample landing Zone that is at the exterior location of the device (b).

Abstract: A resource exclusion method includes: performing, by a first module of a terminal device, resource exclusion according to a target resource, where the target resource is a transmission resource of a second module of the terminal device, and the first module and the second module are two different communication modules.

Abstract: It is disclosed crystalline forms of (R)-N-(4-([1, 2, 4]triazolo [1, 5-c]pyrimidin-7-yloxy)-3-methylphenyl)-5-((3, 3-difluoro-1-methylpiperidin-4-yl)oxy)-6-methoxyquinazolin-4-amine, methods for the preparation thereof, pharmaceutical compositions comprising one or more of the crystalline forms as an active ingredient, and use of the crystalline forms in the treatment of hyperproliferative diseases.

Abstract: Embodiments relate to an automatic detection of fraudulent behavior for a transaction at an online system. The online system requests a large language model (LLM) to determine, based on a prompt input into the LLM, information about a refund event for a first order placed by a user of the online system. The online system accesses a computer model trained to detect a fraudulent behavior associated with an order placed with the online system. The online system applies the computer model to determine a score associated with the refund event, based on the information about the refund event received from the LLM. The online system determines, based on the score, whether the refund event was due to a fraudulent behavior of the user. The online system performs at least one action associated with the online system, based on the determination whether the refund event was due to the fraudulent behavior.

Abstract: Disclosed are a data transmitting method, a data receiving method, a network device and a non-transitory computer-readable storage medium. The data transmitting method may include: acquiring first data information and second data information; performing encoding processing on the first data information according to a first resource priority tag to obtain first encoded information, and performing encoding processing on the second data information according to a second resource priority tag to obtain second encoded information; performing signal modulation processing on the first encoded information to obtain first service information, and performing signal modulation processing on the second encoded information to obtain second service information, wherein the first service information comprises the first resource priority tag, and the second service information comprises the second resource priority tag; and transmitting the first service information and the second service information.

Abstract: Provided are a food additive for dispersing a Ganoderma lucidum powder and a method for rapidly dispersing a Ganoderma lucidum powder. The food additive for dispersing a Ganoderma lucidum powder includes a plant polyphenol and a metal-derived food additive in a mass ratio of (50-2,500):(0.1-0.2). The method for rapidly dispersing a Ganoderma lucidum powder with the food additive includes: mixing an aqueous solution of the plant polyphenol with the Ganoderma lucidum powder to obtain a Ganoderma lucidum/polyphenol mixed solution; and thoroughly mixing an aqueous solution of the metal-derived food additive with the Ganoderma lucidum/polyphenol mixed solution.