Abstract: A system for managing user-generated content (UGC) and professionally generated content (PGC) is disclosed. The system is programmed to receive digital audio data having two channels from a social media platform. The system is programmed to extract spatial features that capture differences in the two channels from the digital audio data. The system is programmed to also extract temporal features, spectral features, and background features from the digital audio data. The system is programmed to then use the extracted features to determine whether to process the digital audio data as UGC or PGC before playback.

Abstract: A method for dynamically adjusting a proxy server timeout includes identifying each microservice within a proxy server and mapping a topology of microservices, assigning each microservice to one of an application layer, a middleware layer and an infrastructure layer. Defining each representational state transfer (REST) application programming interface (API) calling relationship between each microservice and each other microservice. Determining a corresponding regression model defining a response time of each microservice based at least in part on a set of available response time predictors. Building a sequence model for at least one microservice in the application layer. Predicting an incoming REST API call and identifying a probable sequence model corresponding to the predicted incoming REST API call. Updating a timeout value of the predicted REST API call within the proxy server based on the sequentially predicted response times.

Abstract: An array substrate is provided. The array substrate has a display region, a fan-out region, and a bonding region. The array substrate includes a base, a plurality of connecting leads, and a planarization layer. The planarization layer is located on a side of the plurality of connecting leads away from the base, and has a first pattern region located in the fan-out region. The planarization layer includes a plurality of first recessed portions provided in the first pattern region, and an orthographic projection of at least one first recessed portion on the base overlaps with an orthographic projection of at least one connecting lead on the base; and along a direction perpendicular to the base, the first recessed portions and the connecting leads have a distance therebetween.

Abstract: Methods and systems for image generation include generating a latent representation of an image, modifying the latent representation of the image based on a trained attribute classifier and a specified attribute input, and decoding the modified latent representation to generate an output image that matches the specified attribute input.

Abstract: A data processing method includes, in response to an interaction message being displayed on an interaction interface, displaying a virtual object in an interaction area in which the interaction message is located, and displaying a resource object at a target location on the interaction interface. The virtual object and the resource object are associated with the interaction message, and the resource object and the virtual object are configured to interact with each other. The method further includes displaying, on the interaction interface, interactive movement involving the virtual object and the resource object. The interactive movement includes moving the virtual object from a location of the interaction area, and/or moving the resource object from the target location.

Abstract: Methods, apparatus, programs, and storage media for enhancing speech signals based on a neural network are provided. The method includes receiving a speech signal and a corresponding reference speech signal. A first set of band features is extracted from the speech signal and a second set of band features is extracted from the reference speech signal, wherein each feature in the first set of band features corresponds to a frequency band of the speech signal and each feature in the second set of band features corresponds to a frequency band of the reference speech signal. A first mask is determined by inputting the third set of band features into a speech enhancement neural subnetwork. The low frequency mask part and the increased number of entries are combined into a second mask. A fourth set of band features is determined based on the second mask and the speech signal.

Abstract: Disclosed are a Mamba model-based lithium battery lifetime prediction method and system in the technical field of energy storage in renewable energy power systems, the method including: acquiring aging feature matrices of a plurality of lithium batteries and inputting the same into a Mamba model for training, extracting a hidden state matrix sequence of each of the lithium batteries based on the trained Mamba model, and obtaining a cycle count sequence corresponding to a target cycle life prediction point of each of the lithium batteries through norm calculation and variational mode decomposition; constructing a linear relationship model for lithium battery lifetime prediction based on cycle count sequences corresponding to target states of health of all of the lithium batteries and cycle count sequences corresponding to target cycle life prediction points of all of the lithium batteries.

Abstract: Methods and systems for training a model include training an encoder in an unsupervised fashion based on a backward latent flow between a reference frame and a driving frame taken from a same video. A diffusion model is trained that generates a video sequence responsive to an input image and a text condition, using the trained encoder to determine a latent flow sequence and occlusion map sequence of a labeled training video.

Abstract: The present disclosure relates to a visible light-catalyzed translucent concrete, and a preparation method and use thereof. The preparation method includes: extracting an iron oxide from a copper slag, mixing the iron oxide with TiO2 to obtain a photocatalyst, and then mixing the photocatalyst with an additive to obtain a photocatalytic slurry; preparing a concrete slurry using the copper slag after iron extraction as an aggregate; and pouring the photocatalytic slurry, the concrete slurry, and the photocatalytic slurry in sequence into a mold pre-laid with an optical fiber, to obtain the visible light-catalyzed translucent concrete. In the visible light-catalyzed translucent concrete, iron in the copper slag is used as a part of raw materials of the photocatalyst, and the copper slag after iron extraction is used as an aggregate to replace natural sand and gravel. This solves environmental pollutions caused by the copper slag and realizes resource utilization.

Abstract: Disclosed are a method, device, medium, and product for extracting feature maps from operational data of lithium batteries. The method includes: acquiring operational data of a lithium battery; selecting target operational data from the operational data to obtain a plurality of target data groups; sorting a plurality of operational data in each of the target data groups to obtain an initial matrix; performing mean-variance normalization processing on each column of the initial matrix to obtain a normalized matrix; calculating a covariance matrix of the normalized matrix; performing singular value decomposition on the covariance matrix to obtain an eigenvector matrix; calculating a dimensionality reduction matrix corresponding to each of the target data groups according to the eigenvector matrix; scaling the dimensionality reduction matrix to construct a three-dimensional feature map matrix; and converting the three-dimensional feature map matrix into an image to obtain a feature image of the lithium battery.

Abstract: The present disclosure discloses a parameter extraction method for an energy storage management system based on natural language interaction, and belongs to the technical field of energy storage for new energy power systems, comprising: dividing parameter types, collecting natural language interaction corpora, labeling parameters, constructing a word segmentation set, coding natural language interaction corpora, calculating prior probabilities and conditional probabilities, persisting the prior probabilities and the conditional probabilities, inputting new corpora, loading the prior probabilities and the conditional probabilities, calculating posterior probabilities according to a naive Bayes formula, and extracting parameters corresponding to a maximum value of the posterior probabilities. According to the present disclosure, parameters are extracted using a natural language interaction manner, which reduces a threshold of use of conventional energy storage management systems.

Abstract: Disclosed are an internal resistance consistency evaluation method and system for a dynamically reconfigurable battery module in the technical field of energy storage in power systems, where the method includes: calculating a current change rate by introducing a nominal capacity of battery cells; selecting a previous sampling time point of a sampling time point at which the current change rate is greater than or equal to a target current change rate as a target sampling time point; when the number of the target sampling time points is greater than a preset value, calculating an internal resistance of each of the battery cells at the target sampling time points according to the target sampling time points, and constructing an internal resistance matrix; utilizing the internal resistance matrix and applying an improved internal resistance consistency evaluation algorithm to calculate and obtain an internal resistance consistency result of the dynamically reconfigurable battery module.

Abstract: Provided is an amorphous silicon thin-film transistor including an amorphous silicon semiconductor layer, a source electrode, and a drain electrode that are successively disposed on a base substrate. Ions doped by an ion implantation process are present in a region, proximal to the source electrode and the drain electrode, of the amorphous silicon semiconductor layer. A concentration of the ions in a surface region, proximal to the source electrode and the drain electrode, of the amorphous silicon semiconductor layer is greater than or equal to 5*10{circumflex over (?)}20 atoms/cc.

Abstract: Disclosed herein is a system for implementing a management controller on a node, or network server, that is dedicated to monitoring the individual health of a plurality of accelerator modules configured on the node. Based on the monitored health, the management controller is configured to implement autonomous power cycle control of individual accelerator modules. The autonomous power cycle control is implemented without violating the requirements of standards established for accelerator modules (e.g., OPEN COMPUTE PROJECT requirements, PERIPHERAL COMPONENT INTERCONNECT EXPRESS (PCIe) interface requirements).

Abstract: An electrode balloon catheter and a high-voltage generation processing device are provided. The electrode balloon catheter includes a balloon, an inner catheter and a shock wave generation component. The balloon is disposed over the inner catheter and radially expands or collapses as a result of filling an inflation fluid therein or evacuating the inflation fluid therefrom. The shock wave generation component includes a flexible circuit layer and an electrode arrangement. The flexible circuit layer is disposed on the inner catheter, and the electrode arrangement is provided on the inner catheter to be located within the balloon. The electrode arrangement is connected to the flexible circuit layer and connected to a high-voltage generation processing device via the flexible circuit layer. The flexible circuit layer enables the electrode balloon catheter to have a reduced passage size closer to the size of a pre-dilation balloon.

Abstract: The present disclosure discloses a bus voltage modulation method for a series dynamic reconfiguration battery system, comprising: collecting a voltage value of each battery module, and arranging in a descending order according to magnitudes of the voltage values; selecting a battery module corresponding to the highest voltage value; determining whether the serial number i of the selected battery module is less than a total number N of series battery modules, if a determination result is YES, accumulating voltage values corresponding to the selected battery modules, and determining whether a voltage accumulation value of the battery modules is within a preset range; and repeating the above content until an output bus voltage meets requirements for the preset range. A dynamic reconfiguration battery system based on a software-defined technology of the present disclosure can reconstruct and output a desired bus voltage according to voltages of respective battery modules in real time.

Abstract: An embodiment for an improved method of automated version management for machine learning pipeline development is provided. The embodiment may compute a quality value of a target machine learning pipeline at a predetermined regular interval and automatically save updated versions of the target machine learning pipeline. The embodiment may extract a series of key features from detected versions of the target machine learning pipeline and cluster the detected versions of the target machine learning model pipeline by the extracted series of key features. The embodiment may identify a highest-quality version within each of a series of generated clusters. The embodiment may compute similarity scores for subsets of versions within each of the series of generated clusters. The embodiment may generate and output to a user, a visual representation of the series of generated clusters including version quality data and version similarity data.

Abstract: Methods and systems for training a model include performing spatial augmentation on an unlabeled input video to generate spatially augmented video. Temporal augmentation is performed on the input video to generate temporally augmented video. Predictions are generated, using a model that was pre-trained on a labeled dataset, for the unlabeled input video, the spatially augmented video, and the temporally augmented video. Parameters of the model are adapted using the predictions while enforcing temporal consistency, temporal consistency, and historical consistency. The model may be used for action recognition in a healthcare context, with recognition results being used for determining whether patients are performing a rehabilitation exercise correctly.

Abstract: An oral care device, an information display device thereof, and an information display method thereof are provided. The information display method is applied to the oral care device. The oral care device includes display areas respectively configured to display information of oral care positions. The information display method includes: determining a current oral care position of the oral care device and a current oral care duration corresponding to the current oral care position; when the current oral care duration is less than a predetermined duration corresponding to the current oral care position, controlling a display area corresponding to the current oral care position to display in a first manner; and when the current oral care duration is not less than the predetermined duration corresponding to the current oral care position, controlling the display area corresponding to the current oral care position to display in a second manner.

Abstract: The present disclose related to a system (1) and method for evaluating the performance of an audio processing scheme. The system (1) comprises an acoustic feature extractor (10A, 10B), configured to receive a plurality of segment pairs, each segment pair comprising a segment (101) and a processed segment (201). The acoustic feature extractor (10A, 10B) determines an acoustic feature associated with each segment and the system (1) further comprises an event detector (11), configured to receive the at least one acoustic feature of each segment (101, 201) and determine, for each segment pair and acoustic feature, if a difference between the acoustic feature of the segment and processed segment exceeds an event threshold. The system also comprises an event analyzer (12), configured to determine a performance metric based on each segment pair associated with a difference exceeding the event threshold.