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.

Abstract: The present disclosure relates to a pair of flanking sequences for a split intein, wherein the pair of flanking sequences includes: a flanking sequence a and a flanking sequence b; the flanking sequence a is located at the N-terminus of the split intein N-terminal protein splicing region (In), and is between the N-terminal extein (En) and the In; the flanking sequence b is located at the C-terminus of the split intein C-terminal protein splicing region (Ic), and is between the Ic and the C-terminal extein (Ec); and the split intein is selected from the group consisting of SspDnaE, SspDnaB, MxeGyrA, MjaTFIIB, PhoVMA, TVoVMA, Gp41-1, Gp41-8, IMPDH-1 and PhoRadA.

Abstract: An article includes a composition including a high heat amorphous thermoplastic polymer having a glass transition temperature of greater than 180° C.; a poly(phenylene ether) oligomer; a flow promoter comprising a polyester, a poly (carbonate-ester), an aromatic poly ketone, poly(phenylene sulfide), or a combination thereof; and a mineral filler, wherein particular amounts of each component can be as defined herein. The article further includes a metal layer disposed on a surface of the composition. The articles of the present disclosure can be especially useful in consumer electronics applications.

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 spherical or spherical-like lithium battery cathode material, a battery and preparation methods and applications thereof. The chemical formula of the cathode material is: LiaNixCoyMnzMbO2, wherein 1.0?a?1.2; 0.0<b?0.05; 0.30?x?0.90; 0.05?y?0.40; 0.05?z?0.50; x+y+z+b=1; M is one or two or more of Mg, Ti, Al, Zr, Y, Co, Mn, Ni, Ba and a rare earth element. A single ?-NaFeO2 type layered structure of the cathode material is shown by a powder X-ray diffraction pattern and full width at half maximum FWHM (110) of the (110) diffraction peak near a diffraction angle 2? of 64.9° is in the range of 0.073 to 0.

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: A depth and distance-based single-path routing method, in which location information of nodes in network is gathered after initialization is completed, and a location table of whole-network nodes maintained by the sink node is generated. The update mechanism of the uplink Location frame is switched to a unicast triggering update mechanism to execute a depth and energy-based uplink routing algorithm. For a downlink control packet arriving at a specified ID, location information of a node is obtained through the location table to execute a distance and energy-based downlink routing policy. The distance and energy-based downlink routing policy for a downlink control packet arriving at a specified location and a downlink control packet arriving at the specified ID is executed, and a routing recovery algorithm is executed when an “open area” occurs.

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: The flexible display panel includes a plurality of pixel units, each of the pixel units includes a plurality of sub-pixels having at least three emitting colors, and the sub-pixels with a same emitting color are arranged along a predetermined stretching direction.

Abstract: A depth and distance-based single-path routing method, in which location information of nodes in network is gathered after initialization is completed, and a location table of whole-network nodes maintained by the sink node is generated. The update mechanism of the uplink Location frame is switched to a unicast triggering update mechanism to execute a depth and energy-based uplink routing algorithm. For a downlink control packet arriving at a specified ID, location information of a node is obtained through the location table to execute a distance and energy-based downlink routing policy. The distance and energy-based downlink routing policy for a downlink control packet arriving at a specified location and a downlink control packet arriving at the specified ID is executed, and a routing recovery algorithm is executed when an “open area” occurs.

Abstract: The present disclosure provides a method for preparing heterostructure, which includes providing a donor substrate and forming a sacrificial layer on a surface of the donor substrate; forming a thin film cover layer on a surface of the sacrificial layer, wherein a top surface of the thin film cover layer is an implantation surface; performing ion implantation from the implantation surface, such that a defect layer is formed in the sacrificial layer; providing an acceptor substrate, and bonding the acceptor substrate to the implantation surface of the thin film cover layer; removing the sacrificial layer along the defect layer. The method for preparing the heterostructure of the present disclosure can successfully transfer the thin film cover layer to the acceptor substrate. The present disclosure can provide a compliant substrate, while the semiconductor donor substrate material can be reused, therefore is energy-efficient and environmental-friendly.

Abstract: An experimental device for studying the propagation characteristics of stress wave in jointed rock mass at high temperatures. The device includes a launch system, a loading system, a measuring system and a heating device. The heating device can be heated in sections to meet complicated test requirements. The measuring system includes two sets of measuring devices to ensure test accuracy. One measuring device uses a strain gauge to measure the local displacement of rock, thus obtaining the change of wave velocity; this method can be used when sample temperature is low. The other device adopts digital image processing technology. The experimental device can control the initial wave form and initial wave velocity, which can better meet the test requirements. The position of the sample can be fine-tuned to avoid the impact of errors left by rock processing on the test results.

Abstract: The present disclosure related to an experimental device for studying the propagation characteristics of stress wave in jointed rock mass at high temperature. It comprises a launch system, a loading system, a measuring system and a heating device. The heating device can be heated in sections to meet complicated test requirements. The measuring system includes two sets of measuring systems, one measuring device uses a strain gauge to measure the local displacement of rock, thus obtaining the change of wave velocity, this method can be used when sample temperature is low. The other device adopts digital image processing technology. The invention is easy to operate and can control the initial wave form and initial wave velocity, which can better meet the test requirements. The position of sample can be fine-tuned to avoid impact of errors left by rock processing on test results. The heating device can be heated in sections to meet complicated test requirements.

Abstract: The disclosure discloses an antiemetic control device and a control method thereof, comprising a housing, a MCU single-chip microcontroller provided in the housing, a charging circuit, a discharging circuit and a rechargeable battery for supplying power, a button, a display screen, an alarm device and a plurality of mode indicator lights disposed on the housing, two electrodes and an optical pulse detecting unit disposed on the lower surface of the housing, and two wrist straps disposed on the housing. The disclosure has the characteristics of stable therapeutic effects.

Abstract: The present invention relates to a spherical or spherical-like cathode material for lithium-ion battery and a lithium-ion battery. The chemical formula of the cathode material is LiaNixCoyMnzMbO2, wherein: 1.02?a?1.20; 0.0?b?0.5; 0.30?x?0.60; 0.20?y?0.40; 0.05?z?0.50; x+y+z=1; M is one or two or more selected from the group consisting of Mg Ti Al Zr Y Co Mn Ni Ba and rare earth elements. Under the scanning electron microscope, the cathode material comprises primary particles with a morphology of spherical or spherical shape, and secondary particles agglomerated by the primary particles. The number percentage of the secondary particles agglomerated by the primary particles is less than or equal to 30%. The lithium battery prepared by the obtained cathode material has high specific capacity, high temperature stability, excellent safety and cycling performance at high temperature, and the preparation method thereof is simple and the cost is relatively low.

Abstract: A machine accesses a training data set comprising multiple real images and multiple synthetic images. The machine trains a joint prediction module to predict joint locations in visual data using the multiple real images. The machine trains a part affinity field prediction module to identify adjacent joints in visual data using the multiple real images. The machine trains the joint prediction module to predict joint locations in visual data using the multiple synthetic images. The machine trains the part affinity field prediction module to identify adjacent joints in visual data using the multiple synthetic images. The machine trains a body part prediction module to identify body parts in visual data using the multiple synthetic images. The machine provides a trained human body part segmentation module comprising the trained joint prediction module, the trained part affinity field prediction module, and the trained body part prediction module.

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 relates to a lithium ion cathode material and a lithium ion battery. The chemical formula of the cathode material is: LiaNixCoyMnzMbO2, wherein 1.0?a?1.2; 0.00?b?0.05; 0.30?x?0.60; 0.10?y?0.40; 0.15?z?0.30; x+y+z=1; M is one or two or more selected from the group consisting of Mg, Ti, Al, Zr, Y, W, Mn, Ba and rare earth elements; wherein the scanning electron microscope observation shows that, the cathode material consists of secondary particles agglomerated by 10 or less primary single crystal particles and secondary particles agglomerated by more than 10 primary single crystal particles, and wherein, the area percentage of the secondary particles agglomerated by 10 or less primary single crystal particles is greater than 80%, and the area percentage of the secondary particles agglomerated by more than 10 primary single crystal particles is less than or equal to 20%.

Abstract: The present invention discloses a spherical or spherical-like lithium battery cathode material, a battery and preparation methods and applications thereof. The chemical formula of the cathode material is: LiaNixCoyMnzMbO2, wherein 1.0?a?1.2; 0.0<b?0.05; 0.30?x?0.90; 0.05?y?0.40; 0.05?z?0.50; x+y+z+b=1; M is one or two or more of Mg, Ti, Al, Zr, Y, Co, Mn, Ni, Ba and a rare earth element. A single ?-NaFeO2 type layered structure of the cathode material is shown by a powder X-ray diffraction pattern and full width at half maximum FWHM (110) of the (110) diffraction peak near a diffraction angle 2? of 64.9° is in the range of 0.073 to 0.

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.