Abstract: This application relates to a communication method and apparatus. In the method, when first information indicates an SDM scheme or an SFN scheme, second information may include two PTRS-DMRS fields, and one of the PTRS-DMRS fields is 0 bits. In this way, bit overheads of DCI can be reduced. In addition, a first field in the second information clearly indicates a specific transmission scheme to be used by a terminal device.

Abstract: Provided are methods that include receiving an initial training dataset, where each data instance of the initial training dataset has a label and a first percentage of the plurality of data instances are labeled correctly, providing the initial training dataset as an input to a reinforcement learning agent (RLA) machine learning model to generate a second training dataset, where a second percentage of data instances of the second training dataset are labeled correctly and the second percentage is greater than the first percentage, training a deep learning model using the second training dataset to provide a trained deep learning model, testing the trained deep learning model using a testing dataset to generate a resultant dataset that has a detection rate, which is an indication of a number of data instances that were predicted correctly, and generating a reward parameter. Systems and computer program products are also disclosed.

Abstract: Systems, methods, and computer program products calculate a historical feature similarity point distribution associated with a first machine learning model, calculate a real-time feature similarity point distribution associated with a second machine learning model, and automatically provide, based on a comparison of the historical feature similarity point distribution to the real-time feature similarity point distribution, an indication of whether the second machine learning model is aligned with the first machine learning model.

Abstract: A method is disclosed. The method includes receiving a training dataset including a set of training samples. The method then includes obtaining a first parameter value and a second parameter value. After the parameters are determined, the training dataset can be fed into a machine learning model to train the machine learning model using a neighborhood-specific loss function. The method can then include receiving a second dataset including a set of second samples. Each second sample can then be input into the trained machine learning model to determine a prediction score for each second sample, and the prediction scores can form a bimodal distribution centered around the first parameter and the second parameter.

Abstract: The disclosure provides a method and apparatus, device and a storage medium for multimedia resource processing, and the method includes: displaying a first multimedia resource on a resource display page, a genre switch control is provided on the resource display page, in response to a trigger operation for the genre switch control, determining a target switch genre, and obtaining a second multimedia resource based on the first multimedia resource and the target switch genre, wherein the second multimedia resource is of the target switch genre, and the first multimedia resource and the second multimedia resource are of different genres of a same multimedia work, and switch from the first multimedia resource to the second multimedia resource on the resource display page.

Abstract: A demodulation reference signal (DMRS)-based communication method includes a network device configuring a terminal to use an enhanced DMRS type, so that the terminal can receive a DMRS by using an orthogonal cover code (OCC) corresponding to the enhanced DMRS type, where the OCC is, for example, a sequence with a length of 2 or 4, to avoid a receiving failure due to a case that the terminal does not know whether to use an OCC corresponding to the enhanced DMRS type or an OCC corresponding to a DMRS type 1 or a DMRS type 2, and so that the terminal receives the DMRS.

Abstract: The present application discloses an adjustment assembly and a headrest. The adjustment assembly includes: a guiding rod; a fixing member, fixed to an end of the guiding rod; a driving portion, movably connected to the fixing member; and a first screw, engaged to the fixing member with threads, and the driving portion is connected to the fixing member by the first screw, wherein the driving portion includes a first motor, and the first motor is used to drive the driving portion to linearly move in respect to the fixing member along a direction close to or away from the fixing member. The adjustment assembly of the application can be adjusted electrically, such that the operation is convenient, and the structure is simple and reliable.

Abstract: The present disclosure provides a method for determining channel state information and an apparatus, relating to the field of communication technologies, to improve accuracy of channel state information (CSI) fed back by a terminal. In the method, a terminal may determine, based on a plurality of reference signals on a plurality of reference signal resources and a plurality of power offsets, a precoding matrix that matches a channel for actual transmission, so that a channel quality indicator (CQI) obtained based on the precoding matrix conforms to channel quality of the channel for actual transmission. In other words, in this case, the terminal can obtain an accurate CQI, thereby improving accuracy of CSI fed back by the terminal to a network device, and improving transmission performance.

Abstract: This application provides a communication method and a communication apparatus, and relates to the communication field. In the method, a terminal generates first information, and sends the first information. The first information indicates at least one first capability parameter set, the first capability parameter set includes a maximum total quantity of transmit ports in one frequency unit and at least two of a maximum quantity of transmit ports on one resource associated with one CSI measurement hypothesis, or a maximum total quantity of transmit ports on a reference signal resource associated with the one CSI measurement hypothesis. The terminal reports a single CSI measurement capability and/or a CSI measurement capability in one frequency unit, to ensure that the network device performs CSI measurement configuration without exceeding the CSI measurement capabilities of the terminal.

Abstract: A request to configure a connect cluster including one or more connectors for a cloud computing system is received. The request include a desired connector state. A connector specification file is automatically generated based on the desired connector state for the connect cluster via a declarative application programming interface (API). Application resources associated with the connect cluster are automatically configured based on the specification file.

Abstract: A method of page displaying, an electronic device and a storage medium are provided. The method includes: receiving a first search operation for first information to be searched, the first information to be searched being associated with a target event, and the target event includes at least one of preset event and a target sub-event of the preset event; displaying a first search result on a search results page, in response to the first search operation, displaying a first page region of the search results page as a first page background, and displaying a second page region of the search results page as a second page background, the first search result matching the first information to be searched.

Abstract: A communication method and a communication apparatus are disclosed, related to the communication field. The method includes: A terminal sends data to a network device based on first information sent by the network device. The first information indicates a transmission mode and a plurality of precoding matrices corresponding to a plurality of antenna panels. The transmission mode is a first transmission mode or a second transmission mode. An antenna port set used by each antenna panel of the terminal in the first transmission mode or the second transmission mode is a part of an antenna port set used by the terminal in a third transmission mode. The first transmission mode is an SDM mode, the second transmission mode is an SFN mode, and the third transmission mode is an sTRP mode.

Abstract: Embodiments of the present disclosure provide an interaction method and apparatus, an electronic device, and a storage medium. The method includes: displaying, in a search result page, at least one interaction control corresponding to a target object in response to a search operation for the target object; and displaying a target animation in response to a trigger operation for a target interaction control in the at least one interaction control, wherein the target animation is an animation of a target visual element, and the target visual element is associated with the target object.

Abstract: The present disclosure provides a video processing method, apparatus and device and a storage medium. The method comprises: firstly, a search result video collection is displayed on a search result page, wherein the search result video collection comprises a plurality of videos with a playback sequence, the search result video collection has a corresponding collection playback window on the search result page, and the collection playback window is used for playing videos in the search result video collection. Then, the first target video is played in the collection playback window when the operation of selecting the first target video in the search result video collection is received.

Abstract: Machine learning techniques can be applied to distinguish attacks (including enumeration attacks and account-testing attacks) from normal transaction activity. An ensemble machine learning model can include at least two generative units, one of which is trained using normal transaction data and another of which is trained using attack transaction data. Each generative unit produces a reconstructed output from a given input in a manner that reflects latent patterns in either normal or attack transactions. The reconstructed outputs and the original transaction data can be provided to as inputs to a machine learning classifier, such as a multi-label (or multi-class) classifier, that determines probability scores to different transaction types (or labels), including a first label indicating normal transactions, a second label indicating attack transactions, or a third label indicating uncertain transaction type. Based on the probability scores, the transaction can be classified as normal or attack type.

Abstract: A method for preparing a high-purity metal lithium by a vacuum thermal reduction method includes the following steps: obtaining Li2O·(2-x)CaO by carrying a vacuum thermal decomposition process on a lithium-containing raw material in the presence of a refractory agent and a catalyst; mixing the obtained oxide with the fluxing agent, the catalyst and a reducing agent according to a certain ratio, and then briquetting; carrying out vacuum thermal reduction in a vacuum reduction furnace, and performing centrifugal sedimentation and micron ceramic dust removal on lithium vapor obtained by the thermal reduction to obtain a high-purity metal gas; and removing metal impurities from the gas by controlling a condensation temperature and a condensation speed of the gas so as to purify the lithium vapor, and obtaining a high-purity metal lithium with a rapid cooling technology.

Abstract: Embodiments of the disclosure provide a method, apparatus, device, readable storage medium and product for media content recommendation, and the method includes: displaying, in a media content play interface, a predetermined recommendation control associated with a target topic, wherein the recommendation control comprises at least one piece of live content information and a state control corresponding to a respective piece of live content information, the at least one piece of live content information corresponds to at least one target event associated with the target topic; and determining time information corresponding to the target topic, determining progress information of the target event corresponding to the live content information based on the time information, and determining a state control matching the progress information.

Abstract: Provided are methods that include receiving an initial training dataset, where each data instance of the initial training dataset has a label and a first percentage of the plurality of data instances are labeled correctly, providing the initial training dataset as an input to a reinforcement learning agent (RLA) machine learning model to generate a second training dataset, where a second percentage of data instances of the second training dataset are labeled correctly and the second percentage is greater than the first percentage, training a deep learning model using the second training dataset to provide a trained deep learning model, testing the trained deep learning model using a testing dataset to generate a resultant dataset that has a detection rate, which is an indication of a number of data instances that were predicted correctly, and generating a reward parameter. Systems and computer program products are also disclosed.

Abstract: A search method, an electronic device and a storage medium are provided. The method includes: receiving a search operation for a target object, wherein the target object comprises a participating object of a target event; displaying an object card of the target object in a search result page in response to the search operation, wherein the object card comprises a first area and a second area, the first area is configured to play an object video of the target object, and the second area is configured to display information of a sub-event, which the target object participates in, in the target event.

Abstract: Provided herein are genetically engineered T cells containing a chimeric antigen receptor (CARs), and related methods and uses thereof in allogeneic cell therapy. In some embodiments, the T cells are genetically engineered with a CAR and are further genetically engineered by one or more strategies to reduce host immune recognition of the engineered T cells, such as by heterologous expression of one or more additional transgenes and by genetic disruption to reduce or eliminate expression or one or more endogenous protein. Also provided are cell compositions containing the engineered T cells, and related methods, kits and systems for producing the engineered T cells. Also provided are methods of making and using the engineered T cells for cell therapy, including in connection with cancer immunotherapy comprising adoptive transfer of the engineered T cells.