Abstract: In accordance with an embodiment, a method includes: obtaining a first request, wherein the first request is used to update a data block in an erasure coding (EC) stripe; determining a first data block based on the first request, where the first data block is associated with the first request; and sending a processing request to a set of secondary nodes, where the set of secondary nodes comprises at least one secondary node in a distributed storage system, and the processing request indicates to offload a data block update operation performed by the primary node to one or more secondary nodes in the set of secondary nodes.

Abstract: Described herein are techniques and systems for retrieval of content using link-based searches. Embodiments herein include receiving, by a server, a request including a hyperlink directed to a source content. The server may determine whether a database associated with the server comprises the hyperlink. The database stores information of multiple entities each corresponding to one or more hyperlinks. In response to a determination that the database includes the hyperlink, the server may identify an entity corresponding to the hyperlink and provide information of the entity to the computing device. In some embodiments, in response to a determination that the database does not include the hyperlink, the server may identify related web content and return results to user.

Abstract: This application provides a handwriting drawing method and apparatus, an electronic device, and a readable storage medium. The method is applied to the electronic device, the electronic device includes a touch screen, the touch screen includes a touch panel sensor (TP sensor), and the method includes: performing a handwriting drawing operation in response to detecting that a stylus moves close to the touch screen and a capacitance change amount of the TP sensor is greater than or equal to a first threshold; and stopping the handwriting drawing operation in response to detecting that the stylus moves away from the touch screen and that the capacitance change amount of the TP sensor is less than a second threshold, where the first threshold is different from the second threshold.

Abstract: Embodiments of this application disclose a handwriting processing method, a terminal device, and a chip system, and are applied to the field of data processing technologies. The method includes: identifying, based on a first pressure value within a preset time range and a latest first signal strength, whether a stylus moves away from a handwriting module; stopping, when the stylus moves away from the handwriting module, displaying to-be-displayed handwriting content inputted by the stylus on the handwriting module within a first time range after a current moment; or stopping responding to several target coupling signals.

Abstract: Embodiments of the present disclosure provide a solution for watermark processing. A method includes: dividing at least one portion of a n original text for watermark embedding into a plurality of original text segments; determining, for an original text segment of the plurality of original text segments, a target symbol from a symbol sequence in watermark information; converting, based on respective target symbols determined for the plurality of original text segments, the plurality of original text segments into a plurality of watermarked text segments by using a set of language models for watermark embedding, the set of language models corresponding to a set of symbol values respectively; and generating a watermarked text for the original text based on the plurality of watermarked text segments.

Abstract: There are provided a method, an apparatus, a device, and a storage medium for model training. In a method, a target model is fine-tuned using a set of training data, each training data including a sample question and corresponding annotation information, the annotation information including policy information for solving the sample question and answer information of the sample question. At least one sample question in the set of training data is provided to the fine-tuned target model to determine a candidate answer to the at least one sample question. The fine-tuned target model is trained based at least on a comparison between the candidate answer and the answer information of the at least one sample question.

Abstract: The present disclosure provides a method for obtaining a recommended explanation, a device, and a computer readable medium. The method includes: generating a recommended item by a recommendation model; calculating a similarity between a plurality of explanatory items and the recommended item; obtaining a predetermined number of explanatory items from the plurality of explanatory items, as a recommended explanation of the recommended item, wherein a similarity between the predetermined number of explanatory items and the recommended item is greater than a similarity between other explanatory items and the recommended item; and outputting identification information of the predetermined number of explanatory items.

Abstract: A server for predicting a future traffic load of a base station is provided. The server may obtain a first prediction model based on traffic data collected from the base station for a first period of time, obtain a second prediction model based on traffic data collected from the same base station for a second period time, and also based on knowledge transferred from the first prediction model. Each of the first prediction model and the second prediction model may include an encoder module, a reconstruction module, and a prediction module which are connected to form two paths, an encoder-reconstruction path and an encoder-prediction path, to preserve more information of historic traffic data.

Abstract: The present application discloses an information processing method, a task execution method, an apparatus, a device and a medium. The method includes: processing, through a target visual encoding model in a target analysis model, obtained image information to be analyzed, to obtain a corresponding target sequence; fusing, through a target feature fusion model in the target analysis model, the target sequence and obtained text information to be analyzed, to obtain a target fusion result; processing the target fusion result through a target task analysis model in the target analysis model to obtain target task information; and controlling the action execution apparatus to perform an action corresponding to the target task information. The target analysis model is obtained by training an initial analysis model and the initial analysis model comprises an initial visual encoding model and an initial feature fusion model.

Abstract: A control method, a stylus, and a touch system. When a stylus is in a working mode, based on status information of an Nth frame of an uplink signal, a target receiving channel is controlled to be turned on in a preset manner to receive an (N+1)th frame of the uplink signal sent by an electronic device based on the target receiving channel, where the target receiving channel includes a first receiving channel formed between a first electrode and a control module, and/or a second receiving channel formed between a second electrode and the control module. Therefore, when an uplink signal received by the second electrode is interfered with, an uplink signal can also be normally received to be successfully decoded within a periodicity in which the first electrode works alone.

Abstract: A waveform design method, an integrated communication, sensing and computation system, and a related device are disclosed. The waveform design method includes: constructing a first constraint condition related to a receiving beamformer and two restrictive conditions related to a transmitting beamformer; constructing a first optimization condition set and a second optimization condition set according to the first constraint condition and the different restrictive conditions; solving the first optimization condition set and the second optimization condition set respectively in different operating modes, so that optimization values for the receiving beamformer and the transmitting beamformer in the different operating modes can be obtained, and a transmitted waveform can be designed according to the optimization values.

Abstract: A lighting strip has a printed circuit board with one or more perforated lines at which the printed circuit board length may be adjusted by breaking off an end portion of the printed circuit board. A first layer has a first set of conductive tracks and a second layer has a second set of conductive tracks corresponding to the first set of conductive tracks. Each conductive track of the second set is vertically aligned and positioned over the corresponding conductive track of the first set. An array of contact terminals is provided on a third layer. A plurality of lighting elements is disposed along the lighting strip, each electrically connected to a respective pair of the contact terminals. The lighting strip further comprises a set of vias connecting each conductive track of the first set to the corresponding conductive track of the second set.

Abstract: Rapid and data-efficient training of an artificial intelligence (AI) algorithm are disclosed. Ground truth data are not available and a policy must be learned based on limited interactions with a system. A policy bank is used to explore different policies on a target system with shallow probing. A target policy is chosen by comparing a good policy from the shallow probing with a base target policy which has evolved over other learning experiences. The target policy then interacts with the target system and a replay buffer is built up. The base target policy is then updated using gradients found with respect to the transition experience stored in the replay buffer. The base target policy is quickly learned and is robust for application to new, unseen, systems.

Abstract: A graph database stores a knowledge graph having nodes and directed edges representing a current status of a logistics network, wherein the nodes include entity nodes each representing an entity in the logistics network, and incident nodes each representing an incident, and wherein the directed edges include delivery edges and impact edges. For determining an optimal path between a sender and a receiver a graph neural network model provides node and edge embeddings. Neural networks receive the embeddings and calculate for the respective entity nodes and delivery edges a probability that they lie on an optimal path. A greedy pathfinding algorithm computes the optimal path using the calculated probabilities. This approach takes the impact of real-time incidents into account and serves as a decision support for production planners and logisticians to identify optimal and alternative paths and make better informed planning choices.

Abstract: A lighting device comprises multiple modules each having an array of LED chip connection pads. Interconnections between the pads provide groups of connection pads, each group comprising a parallel set of connection pads, and the groups being in series with each other. An optical unit is provided for shaping the light output from LED chips mounted on the pads. The groups are defined to minimize an overall spacing of the pads within the groups (in combination) to provide a best possible color mixing for the LEDs mounted on the connection pads.

Abstract: The present disclosure relates to selection of a first record object for association with second record objects based on connection profiles. Member entities of a second group entity that are associated with second record objects associated with processes may be identified. A second record object having a first object field-value pair identifying the second group entity may be identified. A first member entity having a respective connection score exceeding a threshold may be selected. A notification comprising an identification of the selected first member entity may be transmitted to an electronic account of a node profile.

Abstract: According to the embodiments of the disclosure, a method, apparatus, device, storage media, and program products for designing ligand molecules is provided. The methods described herein include: editing a first molecular structure with an editing model to determine a second molecular structure, the editing at least comprising deleting a fragment from the first molecular structure or adding a fragment to the first molecular structure; in response to determining that an evaluation of the second molecular structure is better than the first molecular structure, training the editing model based on the editing, the evaluation at least indicating binding capacity between the second molecular structure and a target molecule; and determining a target structure of the ligand molecule for the target molecule with the trained editing model and based on the second molecular structure.

Abstract: An array of lenslets include a first surface with a plurality of individual cells defining one side of a respect lenslet, a second opposite surface with a set of grooves defining a second side of the array of lenslets. The array of lenslets is a circular arry having a plurality of concentric rings. Each ring includes a plurality of straight segments, and each segment includes lenslets arranged in a row. The lens is disposed over a carrier having an array of light emitting diodes (LEDS) disposed such that some of the LEDs are offset from a center of an associated cell, or a plurality associated with a shared cell and disposed at different positions along a groove direction.

Abstract: An online system receives, from an entity, a content item to be presented to online system users, in which the content item includes a landing page to a third-party website. The system accesses the landing page, identifies a set of items included in it, and determines whether the landing page is configured for performing one or more types of conversions associated with each item. The system matches one or more of the items with one or more target objects based on the determination and associates the matched target object(s) with the content item. The system receives information describing one or more impression events associated with presenting the content item to a user and information describing a conversion associated with a target object associated with the content item performed by the user, applies an attribution model to determine a contribution of the impression event(s) to the conversion, and reports the contribution.