Abstract: Electrodes having associated therewith a protective porous film or coating of boron nitride nanotubes (BNNTs).

Abstract: The present invention discloses a method for removing carbon dioxide from a reaction gas. The present invention fully utilizes the available heat in each part of the carbon dioxide removal system to reduce external heat exchange, and thereby significantly reduces the carbon dioxide content in the gas returned to the reactor, and also greatly reduces the steam consumption during the regeneration of the rich decarburizing solution. The present invention also discloses a system for removing carbon dioxide from the reaction gas and use thereof.

Abstract: A method for preparing isophorone diisocyanate by (1) reacting isophorone with hydrogen cyanide in the presence of a catalyst to obtain isophorone nitrile; (2) reacting the isophorone nitrile obtained in step (1) with ammonia gas and hydrogen in the presence of a catalyst to obtain isophorone diamine; and (3) subjecting the isophorone diamine to a phosgenation reaction to obtain the isophorone diisocyanate, wherein the content of impurities containing a secondary amine group in the isophorone diamine that undergoes the phosgenation reaction in step (3) is ?0.5 wt. The method reduces the content of hydrolyzed chlorine in the isophorone diisocyanate product, improves the yellowing resistance of the product, and the harm due to presence of hydrolyzed chlorine in the product is reduced.

Abstract: This application provides a battery and an electric device. The battery provided in this application is provided with a blocking member between two adjacent rows of battery cells along the length direction of the battery cell. In the process of assembling the battery cells in the box, the adhesive at the bottom of the battery cell, when spreading under compressing from the gap created by the housing chamfers to the end cover, will be blocked by the blocking member, thus preventing the adhesive from overflowing to the end cover, improving the safety performance of the battery.

Abstract: A display panel and a display device are disclosed, relating to the display technical field. The display panel comprises a display layer and a light control layer which are laminated, the light control layer comprises a plurality of light control pixel areas, the light control pixel areas comprise a thin film transistor, the display layer comprises a plurality of display pixel areas, and the display pixel areas comprise a green sub-pixel; the orthographic projection of the green sub-pixel on the light control pixel area is close to the area where the thin film transistor is located.

Abstract: Disclosed is an apparatus for processing a substrate, the apparatus including: a housing providing a processing space therein; support unit disposed within the housing and supporting a substrate; and a plasma generating unit provided above the housing, in which the plasma supplying unit includes: a plasma chamber with a discharge space formed inside; a diffusion member provided between the plasma chamber and the housing, and diffusing plasma; a plasma source for generating plasma in the discharge space from process gas; and a sealing member provided between a lower flange of the plasma chamber and an upper flange of the diffusion member, and the sealing member includes: an inner sealing member inserted into a mounting groove formed in an upper surface of the upper flange; and an outer sealing member inserted into a space formed by combination of the upper flange and the lower flange, and positioned at a further outward side from the discharge space than the inner sealing member.

Abstract: Example solutions for video frame action detection use a gated history and include: receiving a video stream comprising a plurality of video frames; grouping the plurality of video frames into a set of present video frames and a set of historical video frames, the set of present video frames comprising a current video frame; determining a set of attention weights for the set of historical video frames, the set of attention weights indicating how informative a video frame is for predicting action in the current video frame; weighting the set of historical video frames with the set of attention weights to produce a set of weighted historical video frames; and based on at least the set of weighted historical video frames and the set of present video frames, generating an action prediction for the current video frame.

Abstract: Example solutions for video object segmentation (VOS) use a bilateral attention transformer in motion-appearance neighboring space, and perform a process that includes: receiving a video stream comprising a plurality of video frames in a sequence; receiving a first object mask for an initial video frame of the plurality of video frames; selecting a video frame of the plurality of video frames as a current query frame, the current query frame following, in the sequence, a reference frame of a reference frame set, wherein each reference frame has a corresponding object mask; using the current query frame and a video frame in the reference frame set, determining a bilateral attention; and using the bilateral attention, generating an object mask for the current query frame.

Abstract: The present invention relates to a mono-crystalline cathode material for sodium-ion battery and a preparation method and application thereof. The mono-crystalline cathode material for a sodium ion battery contains the chemical formula of Na1+aNi1-x-y-z-cMnxFeyMzNcO2, wherein ?0.40?a?0.25, 0.08?x?0.5, 0.05?y?0.5, 0?z<0.26, 0<c<0.1, the M and N are both one or a combination of two or more selected from the group consisting of Ti, Zn, Co, Mn, Al, Zr, Y, Ca, Li, Rb, Cs, W, Ce, Mo, Ba, Mg, Ta, Nb, V, Sc, Sr, B, F, P or Cu elements. The mono-crystalline cathode material for sodium-ion battery has a specific chemical composition, has a mono crystal morphology, and good structural stability and integrity. Particle fragmentation can not be produced in the cyclic process, and meanwhile, the cyclic stability of the sodium-ion battery can be improved.

Abstract: Example solutions for video frame action detection use a gated history and include: receiving a video stream comprising a plurality of video frames; grouping the plurality of video frames into a set of present video frames and a set of historical video frames, the set of present video frames comprising a current video frame; determining a set of attention weights for the set of historical video frames, the set of attention weights indicating how informative a video frame is for predicting action in the current video frame; weighting the set of historical video frames with the set of attention weights to produce a set of weighted historical video frames; and based on at least the set of weighted historical video frames and the set of present video frames, generating an action prediction for the current video frame.

Abstract: Biscuits such as cookies are provided that are free of gluten, or that have reduced levels of gluten, and contain pre-gelatinized starch that, despite absence or low levels of gluten, have taste, texture, and other properties similar to baked goods made with wheat flour.

Abstract: A high-nickel cathode material for lithium ion batteries and a preparation method and application thereof. The high-nickel cathode material contains elements shown in and constituting the chemical formula 1 thereof Li1+aNibMncAdO2, where 0.01?a?0.24, 0.79<b?0.96, 0.01<c?0.20, 0<d?0.06; and A is selected from any one or two or more of Mn, Co, Al, Zr, Y, Rb, Cs, W, Ce, Mo, Ba, Ti, Mg, Ta, Nb, Ca, V, Sc, Sr and B, or from a phosphorus-containing compound containing at least one of Ti, Al, Mg, Zr, La and Li. The high-nickel cathode material of the lithium ion battery of the present invention has better cycling performance, higher capacity, and a relatively small increase in resistance during cycling of the battery.

Abstract: Disclosed is an example approach in which network and non-network features are used to train a predictive machine learning model that is implemented to predict financial crime and fraud. Graphical network features may be generated by applying financial entity risk vectors to a network model with representations of various types of networks. The network model may comprise transactional, non-social, and/or social networks, with edges corresponding to linkages that may be weighted according to various characteristics (such as frequency, amount, type, recency, etc.). The graphical network features may be fed to the predictive model to generate a likelihood and/or prediction with respect to a financial crime. A perceptible alert is generated on one or more computing devices if a financial crime is predicted or deemed sufficiently likely. The alert may identify a subset of the set of financial entities involved in the financial crime and present graphical representations of networks and linkages.

Abstract: The cathode material of the invention has a porous structure, wherein the pore volume of mesoporous with pore diameter of 2-20 nm accounts for 90% or more of the total pore volume. As compared with conventional lithium-ion battery cathode material, the lithium-ion battery cathode material of the present invention contains mainly mesopores, and the pore size of mesopores is mostly in the range of 2-20 nm.

Abstract: Disclosed is an example approach in which network and non-network features are used to train a predictive machine learning model that is implemented to predict financial crime and fraud. Graphical network features may be generated by applying financial entity risk vectors to a network model with representations of various types of networks. The network model may comprise transactional, non-social, and/or social networks, with edges corresponding to linkages that may be weighted according to various characteristics (such as frequency, amount, type, recency, etc.). The graphical network features may be fed to the predictive model to generate a likelihood and/or prediction with respect to a financial crime. A perceptible alert is generated on one or more computing devices if a financial crime is predicted or deemed sufficiently likely. The alert may identify a subset of the set of financial entities involved in the financial crime and present graphical representations of networks and linkages.

Abstract: Disclosed solutions for improved machine learning (ML) employ knowledge balancing self-distillation with adaptive mutual information (AMI). Examples include: for a neural network (NN) having a plurality of modules, determining a task objective for at least a final module of the plurality of modules; for the NN, determining a balancing objective using at least an output of the final module and an output of a first intermediate module of the plurality of modules; determining an overall objective, wherein determining the overall objective comprises combining the task objective with the balancing objective; and adjusting weights of the NN to minimize the overall objective. Balancing information may combine mutual information (between an intermediate module output and the output of the final module) with self-information (for the intermediate module output) to produce AMI. Adjusting weights of the NN during training, using the AMI, results in knowledge balancing self-distillation.

Abstract: The disclosure herein describes preparing and using a cross-attention model for action recognition using pre-trained encoders and novel class fine-tuning. Training video data is transformed into augmented training video segments, which are used to train an appearance encoder and an action encoder. The appearance encoder is trained to encode video segments based on spatial semantics and the action encoder is trained to encode video segments based on spatio-temporal semantics. A set of hard-mined training episodes are generated using the trained encoders. The cross-attention module is then trained for action-appearance aligned classification using the hard-mined training episodes. Then, support video segments are obtained, wherein each support video segment is associated with video classes. The cross-attention module is fine-tuned using the obtained support video segments and the associated video classes.

Abstract: The present invention relates to a bone conduction speaker and its compound vibration device. The compound vibration device comprises a vibration conductive plate and a vibration board, the vibration conductive plate is set to be the first torus, where at least two first rods inside it converge to its center; the vibration board is set as the second torus, where at least two second rods inside it converge to its center. The vibration conductive plate is fixed with the vibration board; the first torus is fixed on a magnetic system, and the second torus comprises a fixed voice coil, which is driven by the magnetic system. The bone conduction speaker in the present invention and its compound vibration device adopt the fixed vibration conductive plate and vibration board, making the technique simpler with a lower cost; because the two adjustable parts in the compound vibration device can adjust both low frequency and high frequency area, the frequency response obtained is flatter and the sound is broader.

Abstract: The present disclosure provides a method and an apparatus for providing responses in an event-related session. The event is associated with a predefined domain, and the session comprises an electronic conversational agent and at least one participant. At least one message from the at least one participant may be detected. A set of candidate responses may be retrieved, from an index set being based on the domain, according to the at least one message. The set of candidate responses may be optimized through filtering the set of candidate responses according to predetermined criteria. A response to the at least one message may be selected from the filtered set of candidate responses. The selected response may be provided in the session.

Abstract: A neural architecture search (NAS) with a weak predictor comprises: receiving network architecture scoring information; iteratively sampling a search space, wherein the sampling comprises: generating a set of candidate architectures within the search space; learning a first predictor; evaluating performance of the candidate architectures; and based on at least the performance of the set of candidate architectures and the network architecture scoring information, refining the search space to a smaller search space; based on at least the network architecture scoring information, thresholding the performance of candidate architectures to determine scored output candidate architectures; and reporting the scored output candidate architectures. In some examples, the candidate architectures each comprise a machine learning (ML) model, for example a neural network (NN).