Abstract: A bearing seal including an anchoring portion fixed on an inner ring of the bearing, and a sealing portion capable of forming a sealing fit with an outer ring of the bearing, the seal providing rigid slinger of substantially circular shape, the slinger having a root portion formed at a position corresponding to the anchoring portion for stabilization and support, and a radial portion formed in the section corresponding to the area between the anchoring portion and the sealing portion for radial support, wherein the radial portion is formed with at least one slot with the opening direction facing the radial periphery.

Abstract: A charging system includes at least one first charging device and at least one second charging device that are cascaded. The first charging device includes at least one first accommodation portion for mounting a first energy storage device and a connecting port for connecting the second charging device or the first charging device. The second charging device includes at least one second accommodation portion for mounting a second energy storage device and a connecting port for connecting the first charging device or the second charging device. The first accommodation portion and the second accommodation portion have different shapes or dimensions.

Abstract: A charging system includes at least one first charging device and at least one second charging device that are cascaded. The first charging device includes at least one first accommodation portion for mounting a first energy storage device and a connecting port for connecting the second charging device or the first charging device. The second charging device includes at least one second accommodation portion for mounting a second energy storage device and a connecting port for connecting the first charging device or the second charging device. The first accommodation portion and the second accommodation portion have different shapes or dimensions.

Abstract: The present disclosure relates to compositions and methods for compositions, methods, and kits for treating cancer using chimeric antigen receptor (CAR) modified cells. Some embodiments of the present disclosure relate to an isolated nucleic acid sequence encoding CAR. The CAR may include an antigen binding domain, a transmembrane domain, a costimulatory signaling region, and a CD3 zeta signaling domain. The antigen binding domain may bind to an antigen of a non-essential organ.

Abstract: A cage includes a first sub-part having a plurality of first partitions integrated as a whole and a plurality of first pocket portions formed by adjacent first partitions. A first engaging portion is formed on at least one of the first partitions. A second sub-part includes a plurality of second partitions integrated as a whole and a plurality of second pocket portions formed by adjacent second partitions. A second engaging portion is formed on at least one of the second partitions. A pocket is formed by the first pocket portion and its corresponding second pocket portion. Each first engaging portion snaps with its corresponding second engaging portion. The cage overcomes the harmful umbrella effect found in a one-piece polymer prong-type cage, so that the bearing equipped with this cage can operate under very high speeds. The cage can be part of a ball bearing.

Abstract: A cage includes a first sub-part having a plurality of first partitions integrated as a whole and a plurality of first pocket portions formed by adjacent first partitions. A second sub-part has a plurality of second partitions integrated as a whole and a plurality of second pocket portions formed by adjacent second partitions. A first recess is provided on the first partition belonging to a first set of the plurality of first partitions. A second pin extends along an axial direction from the second partition belonging to a second set of the plurality of second partitions. The second pin is fixed in its corresponding first recess. The first set of first partitions includes any one or more of the plurality of first partitions. The second set of second partitions includes any one or more of the plurality of second partitions and correspond to the first set of first partitions respectively.

Abstract: The embodiments of this application disclose a method for generating sign language video performed by a computer device. The method includes the following steps: acquiring acquiring listener text, the listener text conforming to grammatical structures of a hearing-friendly person; performing summarization extraction on the listener text to obtain summary text, a text length of the summary text being shorter than a text length of the listener text; converting the summary text into sign language text, the sign language text conforming to grammatical structures of a hearing-impaired person; and generating the sign language video based on the sign language text.

Abstract: Disclosed are a method and an apparatus for end-to-end SAR image recognition, and a storage medium. According to the disclosure, a generative adversarial network is used to enhance data and improve data richness of a SAR image, which is beneficial to subsequent network training; a semantic feature enhancement technology is also introduced to enhance semantic information of a SAR deep feature by a coding-decoding structure, which improves performances of SAR target recognition; and meanwhile, an end-to-end SAR image target recognition model with high integrity for big scenes like the Bay Area is constructed, which is helpful to improve a synthetic aperture radar target recognition model for big scenes like the Bay Area from local optimum to global optimum, increases the stability and generalization ability of the model, reduces the network complexity, and improves the target recognition accuracy.

Abstract: The present disclosure relates to a method for enhancing sematic features of SAR image oriented small set of samples, comprising: acquiring a sample set of an SAR target image, and performing transfer learning and training on the sample set to obtain a initialized deep neural network of an SAR target image, the sample set comprising an SAR target image and an SAR target virtual image; performing network optimization on the deep neural network by an activation function, and extracting features of the SAR target image by the optimized deep neural network to obtain a feature map; and mapping, by an auto-encoder, the feature map between a feature space and a semantic space to obtain a deep visual feature with an enhanced semantic feature.

Abstract: The present disclosure discloses an error modeling method and device for prediction context of reversible image watermarking. A predictor based on omnidirectional context is established; then, the prediction context is self-adaptively error modeled to obtain a self-adaptive error model; and finally, output data from the self-adaptive error model is fed back to the predictor to update and correct the prediction context, so as to correct a prediction value of a current pixel x[i,j]. Since the non-linear correlation between the current pixel and the prediction context thereof, i.e., the non-linear correlation redundancy between pixels can be found by the error modeling of the prediction context of the predictor, the non-linear correlation redundancy between the pixels can be effectively removed. Thus, the embeddable watermarking capacity can be increased.

Abstract: Disclosed are a method and an apparatus for end-to-end SAR image recognition, and a storage medium. According to the disclosure, a generative adversarial network is used to enhance data and improve data richness of a SAR image, which is beneficial to subsequent network training; a semantic feature enhancement technology is also introduced to enhance semantic information of a SAR deep feature by a coding-decoding structure, which improves performances of SAR target recognition; and meanwhile, an end-to-end SAR image target recognition model with high integrity for big scenes like the Bay Area is constructed, which is helpful to improve a synthetic aperture radar target recognition model for big scenes like the Bay Area from local optimum to global optimum, increases the stability and generalization ability of the model, reduces the network complexity, and improves the target recognition accuracy.

Abstract: The present disclosure relates to a method for enhancing sematic features of SAR image oriented small set of samples, comprising: acquiring a sample set of an SAR target image, and performing transfer learning and training on the sample set to obtain a initialized deep neural network of an SAR target image, the sample set comprising an SAR target image and an SAR target virtual image; performing network optimization on the deep neural network by an activation function, and extracting features of the SAR target image by the optimized deep neural network to obtain a feature map; and mapping, by an auto-encoder, the feature map between a feature space and a semantic space to obtain a deep visual feature with an enhanced semantic feature.

Abstract: The present disclosure discloses an error modeling method and device for prediction context of reversible image watermarking. A predictor based on omnidirectional context is established; then, the prediction context is self-adaptively error modeled to obtain a self-adaptive error model; and finally, output data from the self-adaptive error model is fed back to the predictor to update and correct the prediction context, so as to correct a prediction value of a current pixel x[i,j]. Since the non-linear correlation between the current pixel and the prediction context thereof, i.e., the non-linear correlation redundancy between pixels can be found by the error modeling of the prediction context of the predictor, the non-linear correlation redundancy between the pixels can be effectively removed. Thus, the embeddable watermarking capacity can be increased.

Abstract: A waveguide probe for the detection of pathogens in a sample which comprises a laser, a first and a second tubes that converge at a point to form a proximal end. A magnet is positioned in the end to configure to focus paramagnetic microspheres attached to antigen/antibody/optically labeled antibody complexes in the field of view. The proximal end is polished to form an aperture.

Abstract: A waveguide probe for the detection of pathogens in a sample which comprises a laser, a first and a second tubes that converge at a point to form a proximal end. A magnet is positioned in the end to configure to focus paramagnetic microspheres attached to antigen/antibody/optically labeled antibody complexes in the field of view. The proximal end is polished to form an aperture.

Abstract: A magnetic focusing immunosensor for the detection of pathogens comprising a laser, an exciting fiber and a collecting fiber, a fiber optic magnetic probe in communication with the collecting and exciting fibers and means for detecting, collecting and measuring fluorescent signals in communication with the collecting fiber. The probe and the collecting and exciting fibers are configured to focus paramagnetic microspheres attached to antigen/antibody/optically labeled complexes in a predetermined pattern in the field of view of the collecting fiber while blocking background interference.

Abstract: A magnetic focusing immunosensor for the detection of pathogens comprising a laser, an exciting fiber and a collecting fiber, a fiber optic magnetic probe in communication with the collecting and exciting fibers and means for detecting, collecting and measuring fluorescent signals in communication with the collecting fiber. The probe and the collecting and exciting fibers are configured to focus paramagnetic microspheres attached to antigen/antibody/optically labeled complexes in a predetermined pattern in the field of view of the collecting fiber while blocking background interference.