Abstract: The present application provides a method, a device, an apparatus, and storage medium for deviation correction of an electrode sheet. The deviation correction method of the electrode sheet includes: determining the first deviation amount of the electrode sheet on the stacking machine in the first direction; correcting a deviation of the electrode sheet in the first direction according to the first deviation amount; determining the second deviation amount of the electrode sheet in the second direction, wherein the second deviation amount is different from the first deviation amount; and correcting a deviation of the electrode sheet in the second direction according to the second deviation amount.

Abstract: A target position determination of a single-slot collimating plate and a collimator assembly are disclosed. A first measurement signal is acquired based upon of the first instance of air scanning, when the single-slot collimating plate moves a predetermined distance from a starting position to a first position in a first direction of the Z axis. A second measurement signal is acquired based upon the second instance of air scanning, when the single-slot collimating plate moves a predetermined distance from the starting position to a second position in the direction opposite to the first direction. A composite measurement signal and a composite air calibration signal are determined based upon the first measurement signal and the second measurement signal. The composite measurement signal is calibrated using the composite air calibration signal. The target position of the single-slot collimating plate is determined based upon the calibrated composite measurement signal.

Abstract: The invention belongs to the technical field of batteries, and discloses a phosphate-based flame-retardant electrolyte and a lithium-metal battery, and the phosphate-based flame-retardant electrolyte consists of a lithium salt, a phosphate solvent and a diluent. According to the invention, dimethyl (2-methoxyethoxy)methylphosphonate or diethyl (2-methoxyethoxy)methylphosphonate is used as a novel phosphate solvent, an electrolyte system with local high salt concentration is adopted, most phosphate solvent molecules are complexed with Li+ at the local high salt concentration by adjusting dosages of the lithium salt, the phosphate solvent and the diluent, so almost none of free solvent molecules exist, thus inhibiting irreversible decomposition of phosphate molecules on a surface of a li-anode, and meanwhile, the flame retardancy of the phosphate solvent greatly improves the safety of the lithium-metal battery.

Abstract: Various disclosed embodiments are directed to resizing, via down-sampling and up-sampling, a high-resolution input image in order to meet machine learning model low-resolution processing requirements, while also producing a high-resolution output image for image inpainting via a machine learning model. Some embodiments use a refinement model to refine the low-resolution inpainting result from the machine learning model such that there will be clear content with high resolution both inside and outside of the mask region in the output. Some embodiments employ new model architecture for the machine learning model that produces the inpainting result—an advanced Cascaded Modulated Generative Adversarial Network (CM-GAN) that includes Fast Fourier Convolution (FCC) layers at the skip connections between the encoder and decoder.

Abstract: Computer-implemented peer-engagement through graphical definition of contact-generating events in a virtualized metaverse includes visually presenting to a user, on an interactive interface, a multi-dimensional scene of a virtual environment. The user provides input to graphically define one or more contact-generating events within the multi-dimensional scene, which events are detected as being triggered by one or more virtualized avatars in the multi-dimensional scene. According to the triggering of the events and other predefined contact-engaging criteria, a contact-initiating prompt may be transmitted to a peer user associated with the one or more virtualized avatars in the multi-dimensional scene.

Abstract: A system predicts metadata attributes associated with documents using machine learning models. The document may represent an interaction between entities. The system trains machine learning models to predict scores indicating whether a token or a sequence of token of a document represents a metadata attribute. The metadata prediction is used to annotate the document and display to users. The system receives user feedback via the user interface and uses the user feedback to evaluate or retrain the model. The system generates training data by receiving a set of annotated documents and comparing the annotated documents against other documents to identify matching documents. The system determines when to execute the machine learning based metadata prediction based on steps of document workflow executed by the system.

Abstract: Disclosed methods and systems for dynamically configuring an information handling system may employ or perform operations including receiving motion data from a plurality of system sensors including at least a global positioning system (GPS) receiver and an accelerometer and repeatedly, e.g., every five seconds, identifying a current motion state of the system in real time based on the motion data. The current motion state may be selected from a group of motion states that may include a moving vehicle (MV) motion state, indicating the system is located within a moving vehicle, and a stationary motion state, indicating the system is stationary or substantially stationary. A configuration of the system may then be tuned in accordance with the current motion state. Tuning the system configuration may include configuring the system in accordance with a safe driving configuration responsive to identifying the MV motion state as the current motion state.

Abstract: A system predicts metadata attributes associated with documents using machine learning models. The document may represent an interaction between entities. The system trains machine learning models to predict scores indicating whether a token or a sequence of token of a document represents a metadata attribute. The metadata prediction is used to annotate the document and display to users. The system receives user feedback via the user interface and uses the user feedback to evaluate or retrain the model. The system generates training data by receiving a set of annotated documents and comparing the annotated documents against other documents to identify matching documents. The system determines when to execute the machine learning based metadata prediction based on steps of document workflow executed by the system.

Abstract: A system predicts metadata attributes associated with documents using machine learning models. The document may represent an interaction between entities. The system trains machine learning models to predict scores indicating whether a token or a sequence of token of a document represents a metadata attribute. The metadata prediction is used to annotate the document and display to users. The system receives user feedback via the user interface and uses the user feedback to evaluate or retrain the model. The system generates training data by receiving a set of annotated documents and comparing the annotated documents against other documents to identify matching documents. The system determines when to execute the machine learning based metadata prediction based on steps of document workflow executed by the system.

Abstract: A system predicts metadata attributes associated with documents using machine learning models. The document may represent an interaction between entities. The system trains machine learning models to predict scores indicating whether a token or a sequence of token of a document represents a metadata attribute. The metadata prediction is used to annotate the document and display to users. The system receives user feedback via the user interface and uses the user feedback to evaluate or retrain the model. The system generates training data by receiving a set of annotated documents and comparing the annotated documents against other documents to identify matching documents. The system determines when to execute the machine learning based metadata prediction based on steps of document workflow executed by the system.

Abstract: A silenced guide rail includes a guide rail body, a guide block, and a slideway. The guide rail body includes a beam piece, and the beam piece includes an abutting end. The guide block is connected to one end of the guide rail body, and the guide block includes a docking strip. The docking strip includes a corresponding abutting end corresponding to the abutting end. The abutting end includes a short side and a bevel. A shape of the corresponding abutting end corresponds to a shape formed by the short side and the bevel. The slideway is formed on the beam piece and the docking strip. Therefore, the present disclosure reduces an abnormal noise generated when a guide post passes through a connection between the guide rail body and the guide block, and an effect of eliminating all or most of the abnormal noise may be achieved.

Abstract: A silenced guide rail includes a guide rail body, a guide block, and a slideway. The guide rail body includes a beam piece, and the beam piece includes an abutting end. The guide block is connected to one end of the guide rail body, and the guide block includes a docking strip. The docking strip includes a corresponding abutting end corresponding to the abutting end. The abutting end includes a short side and a bevel. A shape of the corresponding abutting end corresponds to a shape formed by the short side and the bevel. The slideway is formed on the beam piece and the docking strip. Therefore, the present disclosure reduces an abnormal noise generated when a guide post passes through a connection between the guide rail body and the guide block, and an effect of eliminating all or most of the abnormal noise may be achieved.

Abstract: A data sharing method, server and storage medium including receiving a first part of a first key from a first client, the first key corresponding to encrypted data uploaded to a block of an information sharing system generating a first authorization code corresponding to the encrypted data; transmitting the first authorization code to the first client; based on receiving an access request from a second client for the encrypted data, obtaining a second authorization code and an incomplete key from the access request; based on the second authorization code being the same as the first authorization code and the second authorization code being valid, generating a second key according to the incomplete key and the first part of the first key corresponding to the encrypted data decrypting the encrypted data according to the second key to obtain the plaintext data; and transmitting, to the second client, the decrypted plaintext data.

Abstract: A terminal control method includes: receiving a focus mode starting instruction; entering a focus mode according to the focus mode starting instruction; performing, in response to an application-invoking request received within a duration of the focus mode, process control on an application being invoked; and exiting the focus mode when the duration of the focus mode ends.

Abstract: Disclosed is an assembled shower device, that includes a hand-held type shower and a head portion shower. In the head portion shower is disposed a control mechanism. The control mechanism is adapted to control open or close of a water channel of the hand-held type shower, such that the hand-held type shower and the head portion shower act in cooperation in the following two approaches: the hand-held type shower is disposed on the head portion shower, to bring the control mechanism into action, to close the water channel of the hand-held type shower; and the hand-held type shower is separated from the head portion shower, to bring the control mechanism into action, to open the water channel of the hand-held type shower.

Abstract: Methods, apparatus, computer program products for improving performance of a web-based application are provided. The method comprises receiving, by one or more processing units, HTTP requests sent from the web-based application; selecting, by one or more processing units, some of the HTTP requests from the received HTTP requests; encapsulating, by one or more processing units, the selected HTTP requests into one or more data frames of a full-duplex communication protocol; and sending, by one or more processing units, the one or more data frames to a server that the web-based application is communication with via a communication channel established based on the full-duplex communication protocol.

Abstract: A terminal control method includes: receiving a focus mode starting instruction; entering a focus mode according to the focus mode starting instruction; performing, in response to an application-invoking request received within a duration of the focus mode, process control on an application being invoked; and exiting the focus mode when the duration of the focus mode ends.

Abstract: Disclosed is an assembled shower device, that includes a hand-held type shower and a head portion shower. In the head portion shower is disposed a control mechanism. The control mechanism is adapted to control open or close of a water channel of the hand-held type shower, such that the hand-held type shower and the head portion shower act in cooperation in the following two approaches: the hand-held type shower is disposed on the head portion shower, to bring the control mechanism into action, to close the water channel of the hand-held type shower; and the hand-held type shower is separated from the head portion shower, to bring the control mechanism into action, to open the water channel of the hand-held type shower.

Abstract: Efficient codeword synchronization methods and systems for fiber channel protocol are disclosed. The method includes identifying a codeword boundary by detecting 100-bit known patterns in a bit codeword in a transmission.

Abstract: Efficient codeword synchronization methods and systems for fiber channel protocol are disclosed. The method includes identifying a codeword boundary by detecting 100-bit known patterns in a bit codeword in a transmission.