Abstract: The application provides a method for controlling nitrogen in steelmaking by spraying hydrogen containing plasma, including: using a mixture of hydrogen rich gas and argon gas to generate hydrogen plasma for denitrification of molten steel during at least one of arc furnace smelting, ladle refining, VOD refining, and RH refining. The method for controlling nitrogen in steelmaking by spraying hydrogen containing plasma provided in the application can effectively remove nitrogen from the molten steel by spraying a mixture of argon gas and hydrogen rich gas into the molten steel through a hollow electrode and plasma torch, reducing electrode consumption and electricity consumption per ton steel, and also reducing arc radiation heat loss, improving heating rate, thereby shortening smelting time and reducing production costs.

Abstract: Provided are a lithium adsorbent and a preparation method therefor. A raw material for preparing the lithium adsorbent includes a lithium adsorbent active material and an auxiliary material, where the auxiliary material includes a hydrophilic binder and reinforcing fibers, and the use of the reinforcing fibers and the hydrophilic binder strongly prevents the propagation of brittle cracks caused by volume expansion and contraction of the lithium adsorbent active material during use, significantly increasing the strength and cycle life of the lithium adsorbent, while the use of the hydrophilic binder increases the adsorption rate and capacity of the lithium adsorbent.

Abstract: This application discloses a cryopump, including a pump housing, a radiation shield in the pump housing, a first-stage cold storage component in the pump housing, a second-stage cold storage component in the holding space of the radiation shield, a connector connecting the first-stage cold storage component and the radiation shield, and a cryopanel assembly in the holding space and connected to the second-stage cold storage component.

Abstract: A method and an apparatus for generating an HDR image with low bit width, a storage medium, and a terminal are provided. The method includes: determining a to-be-processed HDR image with high bit width; splitting the to-be-processed HDR image with high bit width to obtain N frames of split images which include a first frame to an Nth frame; performing bit width reduction processing on the N frames of split images respectively, to obtain N frames of low-bit-width images; and synthesizing the N frames of low-bit-width images to obtain the HDR image with low bit width.

Abstract: A backplane, a backlight source, an illumination device and a displaying device. The backplane comprises a substrate; a first metal trace layer disposed on one surface of the substrate; an insulating layer disposed on a side, away from the substrate, of the first metal trace layer; a second metal trace layer disposed on a side, away from the substrate, of the insulating layer, an overlapping area existing between an orthographic projection of the second metal trace layer on the substrate and an orthographic projection of the first metal trace layer on the substrate; and a barrier layer disposed between the first metal trace layer and the second metal trace layer, an orthographic projection of the barrier layer on the substrate covering the overlapping area, and the barrier layer being used for preventing metals in the first metal trace layer and the second metal trace layer from growing towards each other.

Abstract: Embodiments described herein provide a method of predicting an action by a plurality of language model augmented agents (LAAs). In at least one embodiment, a controller receives a task instruction to be performed using an environment. The controller receives an observation of a first state from the environment. The controller selects a LAA from the plurality of LAAs based on the task instruction and the observation. The controller obtains an output from the selected LAA generated using an input combining the task instruction, the observation, and an LAA-specific prompt template. The controller determines the action based on the output. The controller causes the action to be performed on the environment thereby causing the first state of the environment to change to a second state.

Abstract: Embodiments described herein provide a method for training a recommendation neural network model using multiple data sources. The method may include: receiving, via a data interface, time series data indicating a user-item interaction history; transforming the time series data into a user-item graph; encoding, by a neural network encoder, the user-item graph into user embeddings and item embeddings; generating a plurality of losses according to a plurality of training tasks performed based on the user embeddings and, item embeddings; training the recommendation neural network model by updating the user embeddings and the item embeddings via backpropagation based on a weighted sum of gradients of the plurality of losses; and generating, by a neural network decoder, one or more recommended items for a given user based on the updated user embeddings and the updated item embeddings.

Abstract: Disclosed are an online vacuum degree detection system and method based on single-fiber laser-induced breakdown spectroscopy. In the system, a laser device generates laser that excites the laser through fiber induced breakdown spectroscopy; a fiber coupler couples and injects the laser; a single fiber is connected to the fiber coupler to transmit the laser; one end of an LIBS probe is connected to the single fiber, and the other end of the LIBS probe extends into a vacuum arc-extinguishing chamber; the laser is induced by the LIBS probe to generate plasma, and the plasma is subjected to self-emission imaging and enters the fiber coupler via the LIBS probe; a dichroscope is arranged on the fiber coupler to separate the laser from the plasma; a processor is connected to a camera and a spectrometer.

Abstract: A system for predicting disease with graph convolutional neural network based on multimodal magnetic resonance imaging, which extracts the radiomics information of multiple brain regions across modals as the features of nodes from multimodal magnetic resonance data, and extracts the connectomics information between brain regions to form an adjacency matrix. T1-weighted structural images extract cortical information through cortical reconstruction, and resting-state magnetic resonance data are used to calculate amplitude of low frequency fluctuations, regional homogeneity and functional connectivity. Through multimodal data preprocessing, image index extraction and structured data integration, multimodal unstructured magnetic resonance image data are integrated into unified graph-structured data, and the disease is predicted by a graph convolutional neural network method.

Abstract: This application provides a magneto-resistive random access memory, to reduce a chip area. The magneto-resistive random access memory includes: a plurality of stacked stacking layers, where each stacking layer includes a plurality of magnetic memory cells arranged in a two-dimensional manner; and a plurality of selective metal layers, where each stacking layer is disposed between two selective metal layers and is adjacent to the two selective metal layers, and each selective metal layer is connected to a magnetic memory cell in an adjacent stacking layer, and is configured to perform a read/write operation on the magnetic memory cell.

Abstract: Disclosed are a reconciliation method, apparatus and system based on a blockchain, relating to the technical field of blockchains.

Abstract: Provided are a lithium adsorbent and a preparation method therefor. A raw material for preparing the lithium adsorbent includes a lithium adsorbent active material and an auxiliary material, where the auxiliary material includes a hydrophilic binder and reinforcing fibers, and the use of the reinforcing fibers and the hydrophilic binder strongly prevents the propagation of brittle cracks caused by volume expansion and contraction of the lithium adsorbent active material during use, significantly increasing the strength and cycle life of the lithium adsorbent, while the use of the hydrophilic binder increases the adsorption rate and capacity of the lithium adsorbent.

Abstract: Embodiments described herein provide for optimizing a language model (LM) agent. In at least one embodiment, and LM agent comprises an “actor” LM and a “retrospective LM which provides reflections on attempts by the actor LM. The reflections are used to update subsequent prompts to the actor LM. Optimizing the LM agent comprises fine-tuning parameters of the retrospective LM while keeping parameters of the actor LM frozen. A gradient may be determined by a change in reward from the environment based on actions taken by the actor LM with and without a reflection of the retrospective LM. Using this gradient, parameters of the retrospective LM may be updated via backpropagation.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network entity, an absolute threshold synchronization signal block (SSB) consolidation parameter. The TUE may determine whether a threshold value indicated in the absolute threshold SSB consolidation parameter satisfies a predefined value threshold. The UE may set a specific network deployment flag based at least in part on whether the threshold value satisfies the predefined value threshold. The UE may determine a cell measurement result based at least in part on the specific network deployment flag. The UE may perform a downlink beam selection and a beam switch evaluation based at least in part on the specific network deployment flag. Numerous other aspects are described.

Abstract: A light-emitting component includes a light-emitting unit and an electrically insulating layer. The light-emitting unit includes a first semiconductor layer, an active layer, and a second semiconductor layer, which are stacked on one another along a stacking direction in such order. The second semiconductor has a lower surface distal from the active layer. The electrically insulating layer is disposed to cover a first portion and to expose a second portion of the lower surface of the second semiconductor layer. A fluorine-containing region is formed in the second semiconductor layer. Methods for making the light-emitting component are also disclosed.

Abstract: The present disclosure provides a method, apparatus, medium and device for extracting a river drying-up region and frequency, and belongs to the technical field of remote sensing. The method for extracting a river drying-up region and frequency can be applied to efficiently acquiring river drying-up information for a long time within the large spatial region. With the inverse normalized difference water index (iNDWI) and the maximum value composite (MVC) method for the remote sensing images, the present disclosure omits the troublesome step of separately extracting a river range for each image in the conventional method. In addition, the present disclosure quickly obtains the drying-up frequency by counting the total number of available images and the number of non-water images at the same pixel position, and yields a greater efficiency for extracting the river drying-up region and frequency.

Abstract: An array substrate and a manufacturing method therefor, and a display panel are provided. The manufacturing method includes: forming a scan line and a gate on a substrate; forming a first insulating layer covering the scan line and the gate on the substrate; forming a metal oxide semiconductor layer above the first insulating layer, the metal oxide semiconductor layer including a source, a drain and an active layer; coating an upper surface of the metal oxide semiconductor layer with a photosensitive material layer; photoetching the photosensitive material layer from the back side of the substrate by using a first metal layer as a mask to form a channel protection layer; performing conductorization treatment on the metal oxide semiconductor layer to enable the source and the drain to be conductive; forming a data line above the first insulating layer; and forming a pixel electrode above the first insulating layer.

Abstract: A system includes a machine-learning network. The network includes an input interface configured to receive input data from a sensor. The processor is programmed to receive the input data, generate a perturbed input data set utilize the input data, wherein the perturbed input data set includes perturbations of the input data, denoise the perturbed input data set utilizing a denoiser, wherein the denoiser is configured to generate a denoised data set, send the denoised data set to both a pre-trained classifier and a rejector, wherein the pre-trained classifier is configured to classify the denoised data set and the rejector is configured to reject a classification of the denoised data set, train, utilizing the denoised input data set, the a rejector to achieve a trained rejector, and in response to obtaining the trained rejector, output an abstain classification associated with the input data, wherein the abstain classification is ignored for classification.