Abstract: Disclosed is a method comprising determining, by an apparatus, whether a handover of a target user node of a plurality of user nodes would cause a latency of one or more links between the target user node and one or more other user nodes of the plurality of user nodes to be larger than a tolerable latency; selecting, by the apparatus, based at least partly on the determination, a subset of the plurality of user nodes for the handover, wherein the subset comprises at least the target user node; selecting, by the apparatus, a target access point from a plurality of access points for the handover; and transmitting, by the apparatus, to the subset of the plurality of user nodes, an indication for performing the handover from the apparatus to the target access point.

Abstract: The present disclosure provides a light-emitting transistor and a display substrate. The display substrate includes a plurality of pixel circuits. Each pixel circuit uses a light-emitting transistor that integrates a control transistor and a quantum dot light-emitting device in the same device, and the light-emitting transistor can simultaneously realize the functions of switch controlling and light-emitting display.

Abstract: A light-emitting device includes a first electrode, a second electrode, a light-emitting layer disposed between the first electrode and the second electrode, and a carrier functional layer disposed between the first electrode and the light-emitting layer. The carrier functional layer includes a first carrier functional layer and a second carrier functional layer, the first carrier functional layer is closer to the light-emitting layer than the second carrier functional layer, the first carrier functional layer contains a host material and a ligand material, the second carrier functional layer contains a host material, and the host material of the first carrier functional layer and the host material of the second carrier functional layer include same atoms. A mass fraction of the ligand material of the first carrier functional layer is greater than a mass fraction of a ligand material of the second carrier functional layer.

Abstract: A light-emitting device and a manufacturing method thereof, a display substrate and a display apparatus are provided in the embodiments of the present disclosure. The light-emitting device includes: a first electrode disposed on a base substrate; a quantum dot light-emitting layer disposed at a side of the first electrode away from the base substrate; and an electron transport layer disposed at a side of the quantum dot light-emitting layer close to or away from the first electrode, the electron transport layer including a first transport sub-layer and a second transport sub-layer which are arranged in layer configuration, a material of the first transport sub-layer and a material of the second transport sub-layer both including n-type metal oxides, and an oxygen content of the first transport sub-layer being less than an oxygen content of the second transport sub-layer.

Abstract: Embodiments herein describe a sparse-dense-sparse (SDS) process that achieves a better pruning scheme that benefits from pruning-friendliness relative to one-shot pruning schemes. The SDS process performs a first pruning to generate a sparse ML model followed by reconstruction to generate a re-dense ML model, followed by a second pruning to generate another sparse ML model. By pruning a ML model and then re-constructing the ML model, the ML model can be made more pruning-friendly by performing data and/or weight regularization. As a result, performing the second pruning in the SDS process can result in a smoother weight distribution and lower perplexity relative to one-shot pruning.

Abstract: A processing system is configured to generate a three-dimensional (3D) Gaussian map representing at least a portion of an environment surrounding the processing system. For example, a capture device of the processing device first captures a set of frames each including color data. The processing system then implements a visual odometry (VO) tracking model which samples patches from this set of frames so as to generate a point cloud and pose data representing the location and orientation of the patches within the environment. Further, the processing system implements a Gaussian Mapping model that generates a set of Gaussians from the point cloud which the processing system then uses to populate a 3D Gaussian map.

Abstract: A flexible microscaling (MX) approach allows for the dynamic selection between multiple scale determination functions to compute a scaling factor that delivers lower deviation from an input data array when converting the input data array to an output data array with reduced bit precision. The flexible MX approach includes selecting a first scale determination function from a plurality of scale determination functions based on a characteristic of an input data array having a first data format, computing a scaling factor based on the first scale determination function, and converting the input data array into an output data array having a target data format based on the selected scaling factor. The output data array is then input to an artificial intelligence (AI) model for processing.

Abstract: Disclosed herein are systems and methods method for thin film deposition of molybdenum for source/drain formation. A deposition process may be performed in which the surface is contacted in the reaction chamber with a first oxygen-free molybdenum halide reactant at a first temperature, wherein said contacting with the first oxygen-free molybdenum halide reactant forms at least one layer of molybdenum on the substrate. In some embodiments, the temperature of the reaction chamber may be raised from the first temperature to a second temperature. In some embodiments, the substrate in the reaction chamber may be contacted with a second oxygen-free molybdenum halide reactant at the second temperature, wherein said contacting with the second oxygen-free molybdenum halide reactant forms at least one layer of molybdenum on the substrate. In some embodiments, the deposition at the second temperature may be repeated until a molybdenum-containing film of desired thickness is formed.

Abstract: A model training snapshot backup method, performed by a first training node, is provided. The method includes: obtaining dynamic parameters to be backed up of a current training step of a model; determining a training snapshot of the current training step according to the dynamic parameters to be backed up; and backing up the training snapshot to a memory of the first training node.

Abstract: A method for self-supervised microscopic image super-resolution processing, comprising: collecting original fluorescence image data of a biological sample using an optical imaging system; depending on the type of the optical imaging system performing image preprocessing on the collected original fluorescence image data using a computer, to obtain a training set, and, in the computer, training a neural network for image denoising and super-resolution processing using the training set, and using the trained neural network to process the original fluorescence image data, or using the optical imaging system to process additional fluorescence image data acquired for the same biological sample.

Abstract: A powder puff includes an elastic airbag and a cosmetic cover; the elastic airbag has a cavity; one end of the elastic airbag is provided with an air hole, an air-tight structure is arranged in the air hole and used for opening or closing the air hole; when the air hole is opened, the elastic airbag can be squeezed into a retracted state, or inhale spontaneously and restore elastically into an expanded state; the cosmetic cover covers the other end of the elastic airbag body. The elastic airbag may inhale autonomously, after the inflation is completed, the elastic airbag will stably support the cosmetic cover, which will not shake and is in a stable state, making it easy to apply makeup. The elastic airbag adopts an autonomous inhaling method, and the air pressure in the cavity is equal to the external air pressure.

Abstract: A method for constructing a large prediction model of coal burst based on multimodal data is provided. The method includes: constructing a multimodal data set by collecting data from different modalities; preprocessing the multimodal data set to construct precursor pattern sequences; and converting, according to features of different mining areas, each precursor pattern sequence into a corresponding grade form to assign a corresponding risk grade label of coal burst; processing graded precursor pattern sequences by using Transformer to predict an occurrence probability of risk grade of coal burst; evaluating, by using a comprehensive index method, risk degrees of mining information data and geological structure data, and evaluating an overall risk grade of coal burst comprehensively by combining the prediction result output by the coal burst prediction module.

Abstract: The present disclosure provides an N protein epitope mutation marker for preparing an epitope deletion-marked vaccine strain of type II porcine reproductive and respiratory syndrome virus (PRRSV) and use thereof, belonging to the technical field of biological products. In the mutation marker, one or more amino acids are mutated based on an epitope sequence at positions 92 to 103 of a C-terminal of an N protein of the type II PRRSV; and the epitope mutation marker has an amino acid sequence shown in SEQ ID NO: 1, where X1 is selected from the group consisting of T, P, and A; and X2 is selected from the group consisting of V and A.

Abstract: A quantum dot light emitting structure and a method for manufacturing the quantum dot light emitting structure, and an array substrate are disclosed. The quantum dot light emitting structure includes: a quantum dot light emitting layer; an electrode; and an electron transport layer located between the quantum dot light emitting layer and the electrode, the quantum dot light emitting structure further comprises an electron blocking layer located in the electron transport layer, a root-mean-square (RMS) roughness of a surface, close to the quantum dot light emitting layer, of the electron transport layer is different from a root-mean-square (RMS) roughness of a surface, away from the quantum dot light emitting layer, of the electron transport layer.

Abstract: Embodiments of this application provide a target detection method and apparatus, an electronic device, and a computer storage medium. The method includes: obtaining a target image including a target object; performing instance segmentation on the target image, to obtain a segmentation mask corresponding to the target object; obtaining, based on the segmentation mask, position relationship features between target pixels in a target region in which the target object is located in the target image; obtaining position relationship features between standard pixels in a preset region of interest in a standard image, where the standard image includes a standard object corresponding to the target object; and matching the position relationship features between the target pixels and the position relationship features between the standard pixels, to obtain a correspondence between the target pixels and the standard pixels, and obtaining pose information of the target object based on the correspondence.

Abstract: The present disclosure provides a method for reading a solid state disk, including: dividing a plurality of logic planes of a logic unit in the solid state disk into a first plane group and a second plane group; assigning a first processing process to the first plane group and a second processing process to the second plane group; in response to there being a first read request in a first message queue of the first processing process and no second read request in a second message queue of the second processing process, sending the first read request to the solid state disk through the first processing process; in response to there being the first read request in the first message queue and the second read request in the second message queue, sending the read requests to the solid state disk through the first processing process or the second processing process.

Abstract: Aspects of the disclosure provide for evaluation of a planned trajectory for an autonomous vehicle. For instance, for each of a plurality of objects, a predicted trajectory may be received. The planned trajectory may identify locations and times that the vehicle will be at those locations. For each of the plurality of objects, a grid including a plurality of cells may be generated. Occupancy of each grid for each of the plurality of objects may be determined based on the predicted trajectories. A cell of each grid which will be occupied by the vehicle at a location and time of the planned trajectory may be identified. The planned trajectory may be evaluated based on whether any identified cell is occupied by any of the plurality of objects at the time.

Abstract: Various embodiments include a software module deployment method comprising: acquiring a self-description file of at least one edge device with a management device, the self-description file at least describing a software running environment and hardware resource information of the edge device; deploying a software module mirror image on a suitable edge device and establishing a connection relationship between different software module instances deployed on the edge device; automatically allocating, with the management device, a port number to be used when communication is actually performed to each software module instance deployed on the edge device; and generating a configuration file according to the software module instance deployed on each edge device, the connection relationship between different software module instances on the edge device, and the port number.

Abstract: A building photovoltaic data interpolation method based on WGAN and whale optimization algorithm is provided, which includes: obtaining historical building roof photovoltaic output data, perform preprocessing on the historical building roof photovoltaic output data, and uses CNN to build a GAN; describing missing value position of preprocessed data by using a binary mask matrix, and setting Wasserstein distance to define a loss function of a GAN generator and a discriminator; taking the loss function as a fitness function, optimizing an input to the GAN generator through a whale optimization algorithm and obtaining optimized candidate samples; fusing the optimized candidate samples and a photovoltaic data processed by the binary mask matrix to obtain completed reconstructed samples, so as to improve the complementary accuracy, optimize the random noise, remove the unfavorable influencing components, and provide services for building rooftop PV data interpolation more accurately.

Abstract: A self-supervised multimodal structured illumination microscopic reconstruction method comprises: exciting a biological sample with structured illumination to obtain J raw fluorescence image sequences, wherein J is an integer greater than or equal to 1, each raw fluorescence image sequence comprises S fluorescence images, S being an integer greater than or equal to 2; generating a training set for each raw fluorescence image sequence among the J raw fluorescence image sequences; training a denoising neural network on the basis of the training set; and performing super-resolution reconstruction on the S fluorescence images in each of the J raw fluorescence image sequences using a standard structured illumination super-resolution reconstruction algorithm to form a super-resolution image, which is input into the denoising neural network to obtain a final super-resolution reconstructed image.