Abstract: A preparation method for EV-grade lithium sulfide includes: mixing and reacting sulfur powder, metallic lithium and a lithium-containing additive to obtain a crude lithium sulfide product, and then pulverizing and calcining the crude lithium sulfide product to remove excess sulfur powder to obtain the EV-grade lithium sulfide. The method being used for preparing the lithium sulfide is advantaged in simple process, strong operability, large-scale production, and being capable to meet the requirements for safe operation and EV-grade lithium sulfide, without toxic gas generation and secondary pollution.

Abstract: A preparation method for EV-grade lithium sulfide includes: mixing and reacting sulfur powder, metallic lithium and a lithium-containing additive to obtain a crude lithium sulfide product, and then pulverizing and calcining the crude lithium sulfide product to remove excess sulfur powder to obtain the EV-grade lithium sulfide. The method being used for preparing the lithium sulfide is advantaged in simple process, strong operability, large-scale production, and being capable to meet the requirements for safe operation and EV-grade lithium sulfide, without toxic gas generation and secondary pollution.

Abstract: EV-grade high-purity lithium sulfide and a preparation method therefor, including: A. mixing and well grinding a lithium source and a sulfur source to obtain a mixture; B. primary reaction: mixing the mixture with hydrazine hydrate in an inert atmosphere and reacting to obtain an intermediate slurry; C. secondary reaction: performing secondary reaction on the intermediate slurry in the inert atmosphere and drying to obtain a crude lithium sulfide product; and D. calcining and ball milling the crude lithium sulfide product to obtain the EV-grade high-purity lithium sulfide. The purity of the EV-grade high-purity lithium sulfide prepared by the method is above 99.9%, the whiteness thereof is above 80, and D50?15 ?m; the method is characterized by simple process operation, high safety, low energy consumption, low equipment requirements and low production cost; therefore, the method is suitable for industrial production.

Abstract: Qubit devices require fast operation, long coherence, and large scalability to be viable for implementation in quantum computing systems. A qubit platform device having long coherence, scalability, and fast operation includes a substrate, or trap region, configured to structurally support solid neon thereon. A trap electrode is configured to provide a trap voltage to the trap region and which creates a confining electrical field to a confining region adjacent to the trap region. The confining region being a region of space to confine an electron therein, confining the electron against the solid neon. First and second sets of guard electrodes are configured to provide variable electric potentials to first and second guard regions to allow for trapping and manipulation of a single electron in the confining region.

Abstract: A method for processing comments includes: displaying a plurality of image-generating entries on a comment editing panel of a comment object, wherein the plurality of image-generating entries is configured to generate comment images for commenting the comment object by triggering different image-generating networks, each image-generating entry corresponds to an image-generating network, and the image-generating entry is configured to generate a comment image by triggering the image-generating network corresponding to the image-generating network.

Abstract: Disclosed is a method for processing comments. A post-operation region corresponding to a current resource is displayed, wherein the post-operation region is configured to post comment information and includes an image generation component. An image set is displayed in the post-operation region in response to triggering the image generation component in the case that the post-operation region includes source comment information, wherein the image set is generated based on the source comment information.

Abstract: A display substrate includes sub-pixels on a base substrate and each including a sub-pixel aperture area, a reflective layer, an insulating layer, independent anode patterns, a light-emitting function layer and a cathode. An orthographic projection of the reflective layer onto the base substrate at least partially overlaps an orthographic projection of the sub-pixel aperture area onto the base substrate. Each of orthographic projections of the anode patterns onto the base substrate at least partially overlaps the orthographic projection of the sub-pixel aperture area onto the base substrate. An orthographic projection of the light-emitting function layer onto the base substrate is within the orthographic projection of the sub-pixel aperture area onto the base substrate. An orthographic projection of the cathode onto the base substrate covers the orthographic projection of the light-emitting function layer onto the base substrate.

Abstract: The present invention “A Molecular marker Nicotine Associated SNP 1 for identifying high or nicotine content of tobacco and its kit as well as use thereof” belongs to field of molecular biology technology. The molecular marker Nicotine Associated SNP 1 is a SNP Nitab4.5_0002539:95304 A/G at base No. 95304 of Genomic segment No. 0002539 in tobacco genome version of Nitab v4.5 Genome Scaffolds Edwards2017. The present invention can accurately identify and screen tobacco germplasm resources with high or low nicotine content, and the screened tobacco can be directly used for breeding new tobacco varieties without transgenic methods. At the same time, gene sequence where the SNP site is located can also significantly activate promoters of key enzyme genes in nicotine synthesis pathway.

Abstract: The present disclosure provides an array substrate, a liquid crystal display panel and a liquid crystal display device, including: a base substrate; gate lines each extending in a first direction on the base substrate; data lines each extending in a second direction intersecting the first direction; pixel units located in regions defined by the gate lines and the data lines; each pixel unit has a first side and a second side each extending in the second direction and opposite to each other in the first direction; each pixel unit includes a first electrode including a plurality of strip-shaped 10 electrodes, at least part of the strip-shaped electrodes each have a first part and a second part extending in different directions, first parts are connected at the first side, second parts are disconnected at the second side, and lengths of the first part and the second part are different.

Abstract: The present application provides a universal quantum secure device and methods of sending and receiving data. A quantum encryption and decryption module can realize quantum encryption and decryption of data requiring quantum encryption service, thereby ensuring that data sent and received by the universal quantum secure device from a conventional network are transmitted in ciphertext form. An isolation module can realize isolation between the communication module and each of the quantum encryption and decryption module and a privacy module, so that security of the privacy module and security of the quantum encryption and decryption module are protected from being affected by data received by the communication module from external network. Since the privacy module does not communicate with external network, and encryption and decryption of the data can only be carried out in the quantum encryption and decryption module of the universal quantum secure device, improving data security.

Abstract: Embodiments of the present disclosure include a system for optimizing an artificial neural network by configuring a model, based on a plurality of training parameters, to execute a training process, monitoring a plurality of statistics produced upon execution of the training process, and adjusting one or more of the training parameters, based on one or more of the statistics, to maintain at least one of the statistics within a predetermined range. In some embodiments, artificial intelligence (AI) processors may execute a training process on a model, the training process having an associated set of training parameters. Execution of the training process may produce a plurality of statistics. Control processor(s) coupled to the AI processor(s) may receive the statistics, and in accordance therewith, adjust one or more of the training parameters to maintain at least one of the statistics within a predetermined range during execution of the training process.

Abstract: Disclosed is a chip-level disc-type acousto-optic standing wave gyroscope including a substrate and a gyroscope structure placed on an upper surface of the substrate; the substrate is in a shape of a circular disc; the gyroscope structure includes an acoustic wave drive module and an optical detection module, the acoustic wave drive module is arranged in a circular shape taking the center of the circular disc as an origin and extending outward radially, and the optical detection module is arranged in the middle of the acoustic wave drive module and is annular; the acoustic wave drive module includes an annular interdigitated transducer, a metal electrode layer group uniformly sputtered on the annular interdigitated transducer, annularly arranged metallic pillars and an annular reflection grating, respectively placed in sequence from center of the disk radially to periphery of the disk; the optical detection module includes a first grating coupler, an optical waveguide at a light source input end, a first coup

Abstract: The present invention provides a built-in ripple injection circuit and a control chip, in which a divided feedback voltage is obtained by division of an output voltage by a feedback circuit, and high-frequency ripple in the output voltage is obtained by an operational amplifier and a first capacitor. Moreover, the high-frequency ripple is injected at a third terminal of a source follower. As a result, the feedback voltage is a superimposition of the divided feedback voltage with the high-frequency ripple. This can enhance stability and interference resilience of a power supply system operating in a ripple-based COT control mode. Further, the built-in ripple circuit can be integrated in the control chip. This dispenses with the use of a large capacitor and satisfactorily addresses applications requiring on-chip integration of the feedback circuit, reducing the cost of the power supply system.

Abstract: Qubit devices require fast operation, long coherence, and large scalability to be viable for implementation in quantum computing systems. A qubit platform device having long coherence, scalability, and fast operation includes a substrate, or trap region, configured to structurally support solid neon thereon. A trap electrode is configured to provide a trap voltage to the trap region and which creates a confining electrical field to a confining region adjacent to the trap region. The confining region being a region of space to confine an electron therein, confining the electron against the solid neon. First and second sets of guard electrodes are configured to provide variable electric potentials to first and second guard regions to allow for trapping and manipulation of a single electron in the confining region.

Abstract: Methods, systems, and computer-readable storage media for receiving a workload period, during which a workload is applied to a database system, providing a set of ML models based on historical data representative of historical executions of the workload over the workload period, each ML model configured to predict a cluster arrival rate curve (cARC), and during execution of the workload period and, for each timeslice of a plurality of timeslice of the workload period: providing a predicted cARC from each ML model, the predicted cARC representative of a predicted workload, determining column visiting times for each of a plurality of columns of each of a plurality of tables stored in the database system, generating a column list based on the column visiting times, and loading column data representative of columns included in the column list into low-latency memory prior to execution of a workload during the respective timeslice.

Abstract: Method for confirming ownership of digital assets based on hash algorithm and method for tracing to a source of digital assets based on hash algorithm are provided. Entities involved in confirming the ownership of digital assets include an original user, a CA authentication center and a digital asset authentication center. The process of confirming the ownership includes generating a one-time CA certificate by the original user, authenticating the digital assets by the digital asset authorization center and the original user, generating an ownership confirming document by the original user, creating a quantum digital signature by a three-party, and the like. The method for tracing includes generating subsidiary documents in real time, constructing a unique identity for a digital asset at an accessing moment, traceability analysis, and so on.

Abstract: Systems and methods, for selecting a neural network for a machine learning (ML) problem, are disclosed. A method includes accessing an input matrix, and accessing an ML problem space associated with an ML problem and multiple untrained candidate neural networks for solving the ML problem. The method includes computing, for each untrained candidate neural network, at least one expressivity measure capturing an expressivity of the candidate neural network with respect to the ML problem. The method includes computing, for each untrained candidate neural network, at least one trainability measure capturing a trainability of the candidate neural network with respect to the ML problem. The method includes selecting, based on the at least one expressivity measure and the at least one trainability measure, at least one candidate neural network for solving the ML problem. The method includes providing an output representing the selected at least one candidate neural network.

Abstract: Systems and methods for selecting a neural network for a machine learning problem are disclosed. A method includes accessing an input matrix. The method includes accessing a machine learning problem space associated with a machine learning problem and multiple untrained candidate neural networks for solving the machine learning problem. The method includes computing, for each untrained candidate neural network, at least one expressivity measure capturing an expressivity of the candidate neural network with respect to the machine learning problem. The method includes computing, for each untrained candidate neural network, at least one trainability measure capturing a trainability of the candidate neural network with respect to the machine learning problem. The method includes selecting, based on the at least one expressivity measure and the at least one trainability measure, at least one candidate neural network for solving the machine learning problem.

Abstract: A deep neural network-based method for detecting living cell morphology may include identifying and locating one or more living cells within an acquired image to be detected by using a deep neural network-based target detection model, so as to extract one or more living single cell images. segmenting the image of the one or more living single cells by using a deep neural network-based cell segmentation model, so as to obtain one or more feature part of the one or more living single cells. and analyzing and determining a morphological parameter of the one or more living single cells based on the one or more feature parts. Thus, the activity of the detected cells can be ensured, and a non-destructive, accurate, and rapid detection of living cell morphology can be achieved.

Abstract: The present disclosure provides a preparation method for hydrothermal synthesis of fly ash silicate aggregate including: mixing sodium metasilicate, potassium hydroxide, and inorganic-organic hybrid excitation monomer as raw materials to obtain an inorganic-organic composite activator; preparing a silicate aggregate raw material, mixing measured fly ash, carbide slag, quicklime, and vitrified micro bubble by mass, adding the inorganic-organic composite activator and continue stirring to produce a mixture; forming a ball disc, wetting an expanded perlite that forms a core of the ball by spraying water, adding a prepared mixture, spraying water while adding, standing and curing, performing a maturation and activation treatment in an autoclave, undergoing a silicon calcium reaction for a hydrothermal synthesis to obtain the silicate aggregates.