Abstract: A mobile interaction device, includes: a route determination module configured to determine a driving route of a moving vehicle on which a user is present based on interaction information, communication quality information related to a location, and road information; and a communication module configured to perform interacting information with outside of the moving vehicle.

Abstract: A press-sealing method of anionic polysaccharide films is disclosed, aiming to solve the technical problem that the existing polysaccharide films are difficult to be press-sealed into a bag. The press-sealing method includes following steps. (1) A chitosan quaternary ammonium salt solution is prepared. (2) An anionic polysaccharide film is pretreated. (3) The chitosan quaternary ammonium salt solution is applied to a part to be sealed between two anionic polysaccharide films, and the part be sealed is pressed for 1˜2 s under conditions of a pressure of 0.3˜0.5 MPa and a temperature of 20˜30° C. to complete the press-sealing. The press-sealing strength of the anionic polysaccharide films after press-sealing is 1.38±0.26˜6.95±0.95 N/15 mm. It is used for packaging beef tallow and other foods, can effectively prolong the shelf life of foods, and can be used in the field of food packaging.

Abstract: A transmitting apparatus includes a signal generation circuit and an adjustment circuit. The signal generation circuit is configured to send, to a receiving apparatus, a serial data signal that carries a training sequence and valid data, where the training sequence is used to train a skew or an equalization of the serial data signal, and the valid data is used to detect an amplitude of the serial data signal. The adjustment circuit is configured to receive indication information from the receiving apparatus, and adjust a transmission parameter of the serial data signal based on the indication information, where the transmission parameter includes at least one of the skew, the equalization, or the amplitude.

Abstract: The present disclosure provides a gene combination for expressing and producing terrequinone A in Escherichia coli and use thereof. The gene combination includes a tdiAS gene, a tdiBS gene, a tdiCS gene, a tdiDS gene, a tdiES gene, an sfpS gene, an ScCKS gene, and an AtIPKS gene with nucleotide sequences set forth in SEQ ID NOS:1 to 8. In the present disclosure, a recombinant engineered strain capable of producing terrequinone A having anti-cancer activity is obtained by separately constructing recombinant plasmids pC02 and pU03 through the eight genes and transforming the two recombinant plasmids into E. coli. The content of terrequinone A in a fermentation broth thereof is 106.3 mg/L, which has potential application value in the biopharmaceutical field.

Abstract: A press-sealing method of anionic polysaccharide films is disclosed, aiming to solve the technical problem that the existing polysaccharide films are difficult to be press-sealed into a bag. The press-sealing method includes following steps. (1) A chitosan quaternary ammonium salt solution is prepared. (2) An anionic polysaccharide film is pretreated. (3) The chitosan quaternary ammonium salt solution is applied to a part to be sealed between two anionic polysaccharide films, and the part be sealed is pressed for 1˜2 s under conditions of a pressure of 0.3˜0.5 MPa and a temperature of 20˜30° C. to complete the press-sealing. The press-sealing strength of the anionic polysaccharide films after press-sealing is 1.38±0.26˜6.95±0.95 N/15 mm. It is used for packaging beef tallow and other foods, can effectively prolong the shelf life of foods, and can be used in the field of food packaging.

Abstract: A preparation method and an application method of a multifunctional intelligent cellulose-based visual label are provided. The multifunctional intelligent cellulose-based visual label solved a problem that an existing freshness indicator film is narrowed in an indication range. The preparation method includes the following steps: step 1 of carboxylation modification; step 2 of cationic grafting; step 3 of preparation of a composite dye solution; step 4 of preparation of responsive fibers; and step 5 of performing vacuum filtration to prepare paper, thereby obtaining the multifunctional intelligent cellulose-based visual label. The food freshness is indicated with the obtained intelligent visual label. An indicated pH value range is 4-8, color variation can be completed within 30 seconds, and the food freshness can be accurately indicated. The multifunctional intelligent cellulose-based visual label is low-carbon, efficient, green, safe, and wide in the indication range, and can be used in food monitoring.

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: 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: 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: This application relates to underwater wireless sensor networks, and more particularly to a node positioning method for an underwater wireless sensor network (UWSN) based on zeroing neural dynamics (ZND), including: (S1) defining a time-varying problem of node positioning of the UWSN based on an angle of arrival (AOA) algorithm and a time difference of arrival (TDOA) algorithm; (S2) performing modeling for the time-varying problem to acquire a mathematical model of a linear dynamic matrix equation; (S3) establishing a modified zeroing neural dynamics (MZND) model with a nonlinear activation function; and (S4) solving the time-varying problem by utilizing the MZND model to complete the node positioning of the UWSN.

Abstract: A computing system is provided. The computing system includes a processor configured to execute a convolutional neural network that has been trained, the convolutional neural network including a backbone network that is a concatenated pyramid network, a plurality of first head neural networks, and a plurality of second head neural networks. At the backbone network, the processor is configured to receive an input image as input and output feature maps extracted from the input image. The processor is configured to: process the feature maps using each of the first head neural networks to output corresponding keypoint heatmaps; process the feature maps using each of the second head neural networks to output corresponding part affinity field heatmaps; link the keypoints into one or more instances of virtual skeletons using the part affinity fields; and output the instances of the virtual skeletons.

Abstract: Autotrophic nitrogen fixation genes and an autotrophic nitrogenase expression cassette for plants and uses thereof are disclosed. Nitrogenase related genes of nitrogen fixation gene cluster from Paenibacillus sp. are specifically optimized by plant expression patterns through synthetic biology, to obtain autotrophic nitrogen fixation genes, which are then constructed into plant constitutive expression units. The expression units are assembled in a plant expression vector by isocaudarner cloning method and transformed into plants, thereby realizing autotrophic nitrogen fixation of the plants.

Abstract: To improve the accuracy and efficiency of object detection through computer digital image analysis, the detection of some objects can inform the sub-portion of the digital image to which subsequent computer digital image analysis is directed to detect other objects. In such a manner object detection can be made more efficient by limiting the image area of a digital image that is analyzed. Such efficiencies can represent both computational efficiencies and communicational efficiencies arising due to the smaller quantity of digital image data that is analyzed. Additionally, the detection of some objects can render the detection of other objects more accurate by adjusting confidence thresholds based on the detection of those related objects. Relationships between objects can be utilized to inform both the image area on which subsequent object detection is performed and the confidence level of such subsequent object detection.

Abstract: An apparatus and method herein efficiently couple spatial light to optical fiber light for achieving stability of an optical axis without a position sensor. The basic concept of the method includes: first, obtaining, according to a theoretical coupling efficiency model, a model parameter by means of fitting calculation; second, using a four-point tracking algorithm to calculate an optical fiber nutation trajectory according to the optical fiber nutation principle; and finally, using the nutation trajectory to calculate the position deviation of a central point. The optical axis is ensured to be stable by correcting the position deviation, and the high coupling efficiency remains. The method is used for the stability of the optical axis in a space coherent laser communication DPSK link. The high efficiency coupling is a key technology of long-distance, high bit rate transmission in space laser communication, and is significant in the development of inter-satellite optical communications.

Abstract: A computing system is provided. The computing system includes a processor configured to execute a convolutional neural network that has been trained, the convolutional neural network including a backbone network that is a concatenated pyramid network, a plurality of first head neural networks, and a plurality of second head neural networks. At the backbone network, the processor is configured to receive an input image as input and output feature maps extracted from the input image. The processor is configured to: process the feature maps using each of the first head neural networks to output corresponding keypoint heatmaps; process the feature maps using each of the second head neural networks to output corresponding part affinity field heatmaps; link the keypoints into one or more instances of virtual skeletons using the part affinity fields; and output the instances of the virtual skeletons.

Abstract: The present invention discloses a method for detecting abnormity in an unsupervised industrial system based on deep transfer learning. Labeled machine sensor sequence data from a source domain and unlabeled sensor sequence data from a target domain are used in the present invention to train an industrial system abnormal detection model with good generalization ability, and the industrial system abnormal detection model is trained and tested to finally generate a trained industrial system abnormity discrimination model. Using the model, received machine sensor sequence data can be analyzed and whether a machine is abnormal is discriminated.