Abstract: In one embodiment of the present disclosure, a composition for producing a vanadium electrolyte includes a vanadium compound and an ion solution containing vanadium ions and hydrogen ions. In another embodiment, a method for producing a vanadium electrolyte includes obtaining a vanadium compound, and mixing the vanadium compound with an ion solution containing vanadium ions and hydrogen ions.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a machine learning model on training data. In one aspect, one of the methods include: obtaining a training data set comprising a plurality of training inputs; obtaining data defining an original search space of a plurality of candidate data augmentation policies; generating, from the original search space, a compact search space that has one or more global hyperparameters; and training the machine learning model on the training data using one or more final data augmentation policies generated from the compact search space.

Abstract: Apparatuses, methods, and systems are disclosed for data block transmissions. One method (1000) includes transmitting (1002) a data blocks frequency multiplexed in a time duration to a device, wherein: the data blocks are transmitted based on spatial information and a redundancy version sequence; each data block of the data blocks carries the same data varied based on a redundancy version indicated by the redundancy version sequence and occupies a same number of virtual resource blocks in a frequency domain; the data blocks are scheduled by a control channel, wherein the control channel is used to transmit information that indicates the redundancy version sequence of redundancy version sequences configured by high layer signaling; the spatial information is indicated in the control channel or is configured by high layer signaling; and a total number of data blocks of the data blocks is configured by high layer signaling.

Abstract: Methods and apparatus of restriction on linked ePDCCH candidates for ePDCCH soft combining are disclosed. The method includes: receiving, by a receiver, a plurality of Control Resource Set (CORESET) configurations, a plurality of search space set configurations, and a Physical Downlink Control Channel (PDCCH) transmitted with a plurality of repetitions; wherein the plurality of repetitions of the PDCCH are transmitted from a plurality of transmitting-receiving identities, and one CORESET is associated with one search space set; and determining, by a processor, linked monitoring occasions and/or linked candidates for blind detection of the PDCCH with soft combining.

Abstract: The present application provides an audio and video playing system, a playing method and a playing device. The system comprises: a display device; a directional sound output module configured to output a directional sound signal; a tracking element configured to monitor a target visual area and to monitor the target display area on the display screen; and a processor, connected with the directional sound output module and the tracking element respectively, and configured to acquire a first audio and video data to be output in the target display area, display image information of the first audio and video data in the target display area, and output sound information of the first audio and video data to the directional sound output module such that the directional sound output module output a directional sound signal towards the target visual area.

Abstract: Methods and apparatuses for recovering from beam failure are disclosed. A method of recovering from beam failure, comprising: sending a beam failure recovery request message including information regarding beam failure recovery and information regarding a new candidate beam via a working beam of a first cell; monitoring a response via the new candidate beam of a second cell; and receiving the response via the new candidate beam from the second cell.

Abstract: Embodiments are disclosed for computing accurate smooth occluding contours. In one embodiment, a method of computing accurate smooth occluding contours includes projecting a boundary polygon associated with a first region of a three-dimensional (3D) object to a two-dimensional (2D) image plane, the boundary polygon comprising a plurality of contour vertices and edges connecting the plurality of contour vertices, triangulating the first region in the 2D image plane to generate a 2D triangulation, and generating a 3D mesh for the first region by mapping the 2D triangulation to the 3D object.

Abstract: Methods and apparatuses for MAC CE based common beam indication are disclosed. In one embodiment, a method comprises receiving a higher layer parameter to enable MAC CE based common beam indication; receiving a common beam indication MAC CE; and determining a common beam according to the common beam indication MAC CE.

Abstract: Certain aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for beam determination, multi-user transmission, and channel state variance information (CSVI) reporting in a holographic multiple input multiple output (MIMO) system.

Abstract: Embodiments of the present disclosure relate to automated validation of medical data. Some embodiments of the present disclosure provide a method for medical data validation. The method comprises obtaining target medical data generated in a medical test and obtaining a machine learning model for validating medical data. The machine learning model represents an association between the medical data and validation results, the validation results indicating information about predetermined actions to be performed on the medical data. The method further comprises determining a target validation result for the target medical data by applying the target medical data to the machine learning model, the target validation result indicating information about a target action selected from the predetermined actions to be performed on the target medical data. Through the solution, it is possible to achieve automated medical data validation with high accuracy and efficiency as well as reduced manual efforts.

Abstract: Apparatuses, methods, and systems are disclosed for downlink control information having a transmission configuration indicator bitmap. One method (400) includes transmitting (402) downlink control information with a transmission configuration indicator, spatial information, or a combination thereof and a transmission configuration indicator bitmap field. Each bit in the transmission configuration indicator bitmap field indicates whether the transmission configuration indicator, the spatial information, or the combination thereof applies to a channel or resource group.

Abstract: The present disclosure provides a method for interconnecting a data lake and a relational database, including the following steps: S1: adding a data source class of a relational database to a data lake; S2: matching and using, by the data lake, a data source class of the relational database; and S3: determining and loading a corresponding driver according to the data source class, so as to connect the corresponding relational database. By cascading a data source registering configuration file, a relational database configuration file and a driver package catalog in a parameter passing method, when the data lake is started, a specific database to be used is designated unnecessarily, but a corresponding database is used directly. The configuration file is also traversed unnecessarily, but the user acquires configuration information as required in the parameter passing method.

Abstract: The present disclosure provides an image compression method, including steps of: acquiring a human-eye fixation point on an original image, and determining a fixation region and a non-fixation region of the original image according to the human-eye fixation point; and compressing the non-fixation region, and generating a compressed image according to the fixation region and the compressed non-fixation region. The present disclosure also provides an image display method, an image compression apparatus, an image display apparatus, and a computer readable medium.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing sensor data, e.g., laser sensor data, using neural networks. One of the methods includes obtaining a temporal sequence of multiple three-dimensional point clouds generated from sensor readings of an environment collected by one or more sensors within a given time period, each three-dimensional point cloud comprising a respective plurality of points in a first coordinate system; processing, using a feature extraction neural network, an input that comprises data derived from the temporal sequence of multiple three-dimensional point clouds to generate a feature embedding; receiving a query that specifies one time point within the given time period; and generating, from the feature embedding and conditioned on the query, one or more outputs that characterize one or more objects in the environment at the time point specified in the received query.

Abstract: An edge device can include a processing device, an image sensor, and a memory having instructions that are executable by the processing device for causing the processing device to perform operations. The processing device can receive, from the image sensor, an image of an environment. The processing device can determine a visibility measure corresponding to the environment by determining a dark channel of the image, determining, based on the dark channel of the image, a transmission map of the image, and determining, based on the transmission map, a visual contrast of the image. The processing device can generate information corresponding to the visibility measure.

Abstract: Disclosed is a sheep PDGFD, nucleic acids encoding PDGFD and recombinant lentivirus, host cell and use thereof, which relate to the technical field of molecular cell biology. The sheep platelet-derived growth factor PDGFD includes one or two of PDGFD-T1 and PDGFD-T2. The amino acid sequence of PDGFD-T1 is set forth in SEQ ID NO:1, and the amino acid sequence of PDGFD-T2 is set forth in SEQ ID NO:2. PDGFD-T1 and PDGFD-T2 are able to significantly inhibit the differentiation and maturation of precursor adipocytes and significantly reduce the mRNA relative expression levels of adipogenic differentiation-related genes CEBP?, PPAR?, FAS, FABP4 and LPL, thereby inhibiting animal fat deposition and improving animal meat quality, and have important guiding significance in the fields of life science, medical science, animal husbandry and the like.

Abstract: Methods, systems, and apparatus for processing point clouds using neural networks to perform a machine learning task. In one aspect, a system comprises one or more computers configured to obtain a set of point clouds captured by one or more sensors. Each point cloud includes a respective plurality of three-dimensional points. The one or more computers assign the three-dimensional points to respective voxels in a voxel grid, where the grid of voxels includes non-empty voxels to which one or more points are assigned and empty voxels to which no points are assigned. For each non-empty voxel, the one or more computers generate initial features based on the points that are assigned to the non-empty voxel. The one or more computers generate multi-scale features of the voxel grid, and the one or more computers generate an output for a point cloud processing task using the multi-scale features of the voxel grid.

Abstract: A mobile roadway sensing unit can include an image sensor that can sense image data, a network sensor that can acquire wireless signal data, and a weather sensor that can sense weather condition data. The mobile roadway sensing unit can include a processor and a memory. The memory can include instructions executable by the processor for causing the processor to acquire the sensor data including at least one of the image data, the wireless signal data, or the weather condition data from the weather sensor, wherein the sensor data represents one or more current conditions proximate the mobile roadway sensing unit. The processor can generate processed data based on the sensor data The processor can generate, based on the processed data, a notification corresponding to the one or more current conditions. The processor can provide the notification to one or more external electronic devices.

Abstract: Methods for quality control and optimizing the formation and characterization of micelles, vesicles or other aggregates are described herein. Pharmaceutically relevant peptides may be modified to form glycopeptide surfactants which form micelles or other aggregates with another surfactant. Glycopeptide and glycolipid surfactants can aggregate to form particles that enhance drug delivery. The glycopeptide surfactants may be drugs or prodrugs which are delivered via the micelles or other aggregated structures.

Abstract: Embodiments are disclosed for computing accurate smooth occluding contours. In one embodiment, a method of computing accurate smooth occluding contours includes projecting a boundary polygon associated with a first region of a three-dimensional (3D) object to a two-dimensional (2D) image plane, the boundary polygon comprising a plurality of contour vertices and edges connecting the plurality of contour vertices, triangulating the first region in the 2D image plane to generate a 2D triangulation, and generating a 3D mesh for the first region by mapping the 2D triangulation to the 3D object.