Abstract: A vertical transport field effect transistor (VTFET) comprising: a plurality of FET structures on a substrate; the plurality of FET structures comprising: a first n-type FET structure oriented in a first plane direction relative to the substrate; and a first p-type FET structure oriented in a second plane direction relative to the substrate; wherein the first n-type FET structure and the first p-type FET structure each comprises a FIN having a FIN height, H, wherein H defines the FIN height orthogonal to a surface of the substrate, each FIN being configured to transport charge carriers orthogonal to the surface of the substrate along the FIN height.

Abstract: A method for achieving terminal-pair definition of four-terminal-pair (4TP) impedance and an application thereof are provided, which belongs to the field of precision measurement and metrology. A current output terminal of a two-stage follower is connected to a high current terminal of impedance through a coaxial line, and a voltage output terminal of the two-stage follower is connected to a high voltage terminal of the impedance through the coaxial line, which makes current of the high voltage terminal be 0, and core wire currents and outer wire currents of the high current terminal equal and reverse. The terminal-pair definition of the 4TP impedance can be satisfied; and the follower is added to make a bridge ratio variable and isolate effects of bridge load changes, thereby accelerating a balancing speed of the 4TP impedance bridge, and achieving accurate and fast comparative measurement having high precision of the 4TP AC impedance.

Abstract: The present invention provides an aripiprazole sustained-release microsphere and a preparation method therefor. The microsphere comprises aripiprazole and polylactide-glycolide. The microsphere is of a spherical reticular skeleton structure, with reticular micropores distributed in the spherical surface, and aripiprazole filled in the micropores. The average particle diameter of the microsphere is less than 20 ?m, and is suitable for a 5 gauge needle. The content of aripiprazole is 65%-80% of the total weight of the microsphere.

Abstract: Disclosed a method for predicting permeability of a multi-mineral phase digital core based on deep learning. In the present disclosure, a three-dimensional digital core is constructed and a pore structure is randomly generated; after a plurality of multi-mineral digital core images is acquired by performing image segmentation on the three-dimensional digital core, permeability corresponding to each of the multi-mineral digital core images is acquired by simulation using multi-physics field simulation software and a multi-mineral digital core data set is constructed based on the plurality of multi-mineral digital core images and the permeability corresponding to each of the multi-mineral digital core images; an SE-ResNet18 convolutional neural network is constructed and trained with the multi-mineral digital core data set; and an image of a multi-mineral core to be predicted is input into the trained SE-ResNet18 convolutional neural network to determine the permeability of the multi-mineral core.

Abstract: Machine assisted systems and methods for enhancing the resolution of an IC thermal profile from a system analysis are described. These systems and methods can use a neural network based predictor, that has been trained to determine a temperature rise across an entire IC. The training of the predictor can include generating a representation of two or more templates identifying different portions of an integrated circuit (IC), each template associated with location parameters to position the template in the IC; performing thermal simulations for each respective template of the IC, each thermal simulation determining an output based on a power pattern of tiles of the respective template, the output indicating a change in temperature of a center tile of the respective template relative to a base temperature of the integrated circuit; and training a neural network.

Abstract: Machine assisted systems and methods for enhancing the resolution of an IC thermal profile from a system analysis are described. The methods can include generating a representation of two or more templates identifying different portions of an integrated circuit (IC); performing a thermal simulation for each respective template of the IC based on a sequence of power patterns of tiles of the respective template; and training a neural network with a plurality of training data collected via thermal simulations performed for the templates of the IC. These systems and methods can use a machine learning predictor, that has been trained to determine a transient temperature rise across an entire IC, and then append the determined transient temperature rise to a system level thermal profile of the IC.

Abstract: A computer vision processor of a camera generates hyperzooms for persons or vehicles from image frames captured by the camera. The hyperzooms include a first hyperzoom associated with the persons or vehicles. The computer vision processor tracks traffic patterns of the persons or vehicles while obviating network usage by the camera by predicting positions of the persons or vehicles using a Kalman Filter from the first hyperzoom. The persons or vehicles are detected in the second hyperzoom. The positions of the persons or vehicles are updated based on detecting the persons or vehicles in the second hyperzoom. The first hyperzoom is removed from the camera. Tracks of the persons or vehicles are generated based on the updated positions. The second hyperzoom is removed from the camera. Track metadata is generated from the tracks for storing in a key-value database located on a non-transitory computer-readable storage medium of the camera.

Abstract: The present invention provides a dispersion resin and a preparation method therefor, and a low-temperature cured photoresist composition. The dispersion resin is represented by a formula (2): (Z-A)n—Rm (2), n=1-5, m=1-5, and n+m<=6; Z represents H, or an acrylic copolymer containing an amino group, an epoxy group, an alkyl group having 1-14 carbon atoms, a cycloalkyl group having 3-14 carbon atoms or an aryl substituent; R represents C, N, CH groups, or at least one of linear alkyl, aliphatic cycloalkyl, aryl and heteroaryl containing 6-14 carbon atoms; A is represented by formula (3): In formula (3), W is linked to Z, the carboxyl group is linked to R, and W represents at least one of an H atom, a substituted or unsubstituted alkyl group having 1-14 carbon atoms, an alkylene oxide group having 2-6 carbon atoms, a substituted or unsubstituted aryl group and a substituted or unsubstituted heteroaryl group having 3-14 carbon atoms.

Abstract: A recombinant human collagen-based multifunctional stent coating and a preparation method thereof are provided. The preparation method includes (1) activating a substrate material; (2) placing the activated substrate material in an amino compound-containing solution for a reaction to obtain an aminated substrate material; (3) placing the aminated substrate material in a polyanion electrolyte solution for a reaction, and cleaning with deionized water. The recombinant human collagen-based multifunctional stent coating prepared by the present invention effectively improves the anticoagulation and rapid endothelialization performance of biomaterials, such as vascular stent materials, and reduces the late thrombosis and restenosis problems existing in current stent materials.

Abstract: A computer vision processor of a camera extracts attributes of persons or vehicles from hyperzooms generated from image frames. The hyperzooms represent traffic patterns. The extracting is performed using a feature extractor of an on-camera convolutional neural network (CNN) including an inverted residual structure. The attributes include at least colors of clothing of the persons or colors of the vehicles. Mobile semantic segmentation models of the CNN are generated using the hyperzooms and the attributes. Attribute analytics are generated by executing the mobile semantic segmentation models while obviating network usage by the camera. The attribute analytics are stored in a key-value database located on a memory card of the camera. A query is received from the server instance specifying one or more of the attributes. The attribute analytics are filtered using the one or more of the attributes to obtain a portion of the traffic patterns.

Abstract: A computer vision processor of a camera generates hyperzooms for persons or vehicles from image frames captured by the camera. The hyperzooms include a first hyperzoom associated with the persons or vehicles. The computer vision processor tracks traffic patterns of the persons or vehicles while obviating network usage by the camera by predicting positions of the persons or vehicles using a Kalman Filter from the first hyperzoom. The persons or vehicles are detected in the second hyperzoom. The positions of the persons or vehicles are updated based on detecting the persons or vehicles in the second hyperzoom. The first hyperzoom is removed from the camera. Tracks of the persons or vehicles are generated based on the updated positions. The second hyperzoom is removed from the camera. Track metadata is generated from the tracks for storing in a key-value database located on a non-transitory computer-readable storage medium of the camera.

Abstract: A computer vision processor of a camera extracts attributes of persons or vehicles from hyperzooms generated from image frames. The hyperzooms represent traffic patterns. The extracting is performed using a feature extractor of an on-camera convolutional neural network (CNN) including an inverted residual structure. The attributes include at least colors of clothing of the persons or colors of the vehicles. Mobile semantic segmentation models of the CNN are generated using the hyperzooms and the attributes. Attribute analytics are generated by executing the mobile semantic segmentation models while obviating network usage by the camera. The attribute analytics are stored in a key-value database located on a memory card of the camera. A query is received from the server instance specifying one or more of the attributes. The attribute analytics are filtered using the one or more of the attributes to obtain a portion of the traffic patterns.

Abstract: A computer vision processor of a camera generates hyperzooms for persons or vehicles from image frames captured by the camera. The hyperzooms include a first hyperzoom associated with the persons or vehicles. The computer vision processor tracks traffic patterns of the persons or vehicles while obviating network usage by the camera by predicting positions of the persons or vehicles using a Kalman Filter from the first hyperzoom. The persons or vehicles are detected in the second hyperzoom. The positions of the persons or vehicles are updated based on detecting the persons or vehicles in the second hyperzoom. The first hyperzoom is removed from the camera. Tracks of the persons or vehicles are generated based on the updated positions. The second hyperzoom is removed from the camera. Track metadata is generated from the tracks for storing in a key-value database located on a non-transitory computer-readable storage medium of the camera.

Abstract: A computer vision processor of a camera extracts attributes of persons or vehicles from hyperzooms generated from image frames. The hyperzooms represent traffic patterns. The extracting is performed using a feature extractor of an on-camera convolutional neural network (CNN) including an inverted residual structure. The attributes include at least colors of clothing of the persons or colors of the vehicles. Mobile semantic segmentation models of the CNN are generated using the hyperzooms and the attributes. Attribute analytics are generated by executing the mobile semantic segmentation models while obviating network usage by the camera. The attribute analytics are stored in a key-value database located on a memory card of the camera. A query is received from the server instance specifying one or more of the attributes. The attribute analytics are filtered using the one or more of the attributes to obtain a portion of the traffic patterns.

Abstract: Provided is a polypeptide containing the amino acid sequence as shown in SEQ ID NO. 1, and the present invention belongs to the field of biomedicine. The polypeptide can inhibit the infection with novel coronavirus 2019-nCoV (SARS-CoV-2) and SARS-like viruses, and can thus provide good candidate drugs for the prevention and treatment of 2019-nCoV and SARS-like viruses which may break out in the future. Further provided is a polypeptide derivative having palmic acid or cholesterol modifications.

Abstract: A computer vision processor of a camera extracts attributes of persons or vehicles from hyperzooms generated from image frames. The hyperzooms represent traffic patterns. The extracting is performed using a feature extractor of an on-camera convolutional neural network (CNN) including an inverted residual structure. The attributes include at least colors of clothing of the persons or colors of the vehicles. Mobile semantic segmentation models of the CNN are generated using the hyperzooms and the attributes. Attribute analytics are generated by executing the mobile semantic segmentation models while obviating network usage by the camera. The attribute analytics are stored in a key-value database located on a memory card of the camera. A query is received from the server instance specifying one or more of the attributes. The attribute analytics are filtered using the one or more of the attributes to obtain a portion of the traffic patterns.

Abstract: The present invention relates to a polypeptide, a process for the production thereof and a use thereof. The polypeptide of the present invention has excellent adhesion effect and is highly stable in an aqueous solution. Endotoxins can be more easily removed from the product of the polypeptide.

Abstract: The present invention relates to a method for treating colorectal cancer (CRC); this present invention confirms that KRAS mutation CRC patients benefit from metformin more significantly for the first time and further confirms that the down-regulated expression of MATE1 in the discharge passage of metformin is a key mechanism for the sensitivity of KRAS mutation CRC cells to metformin. The transcriptional level of MATE1 is decreased and the concentration of metformin in tumor cells is increased by upregulating the transmethylase DNMT1 and down-regulating the demethylase TET1/2, and thereby the inhibiting effect of metformin on tumor cell proliferation is enhanced. The present invention provides a novel thinking and method for the treatment of colorectal cancer, which has profound significance and is worth popularizing energetically.

Abstract: The present invention relates to the field of fuel cell stacks and stack tower or module, in particular to a sealing structure for stack tower and a stack tower. The sealing structure comprises a first component, a second component and a mica spacer, the first component and the second component are opposite to each other, the mica spacer is disposed between the first component and the second component, sealing part is arranged between the mica spacer and at least one of the first component and the second component, and the sealing part comprises a glass ceramic layer and an outer circumferential ceramic cement ring surrounding the glass cement layer; the sealing structure for stack tower has excellent sealing performance and service durability for a fuel cell system.

Abstract: A recombinant human collagen-based multifunctional stent coating and a preparation method thereof are provided. The preparation method includes (1) activating a substrate material; (2) placing the activated substrate material in an amino compound-containing solution for a reaction to obtain an aminated substrate material; (3) placing the aminated substrate material in a polyanion electrolyte solution for a reaction, and cleaning with deionized water. The recombinant human collagen-based multifunctional stent coating prepared by the present invention effectively improves the anticoagulation and rapid endothelialization performance of biomaterials, such as vascular stent materials, and reduces the late thrombosis and restenosis problems existing in current stent materials.