Abstract: A data processing method, a data processing apparatus and a storage medium. The data processing method includes: receiving first data comprising at least one piece of second data (S101); transmitting the at least one piece of second data to at least one first data transmission channel (S102); sending, according to link cross information of a Printed Circuit Board (PCB), data of the at least one first data transmission channel to at least one corresponding data transmission link (S103); respectively receiving at least one piece of third data based on at least one port (S401); and sending, according to a channel identifier of request information, the at least one piece of third data to a corresponding data reconstitution link (S402).

Abstract: An improved parcel growth prediction system that uses parcel data, population data, and artificial intelligence to predict the growth of a geographic area at a micro level (e.g., a real estate parcel level) is described herein. For example, the improved parcel growth prediction system may generate a graph model and apply the graph model as an input to an artificial intelligence model to predict the likelihood that a particular parcel may be developed some time in the future. Ultimately, implementing the improved parcel growth prediction system described herein may lead to more precise placements of infrastructure projects and/or to infrastructure projects that more precisely support the needs of the population of a geographic area as time passes.

Abstract: The present disclosure provides an arctigenin liquid nano-preparation and a preparation method thereof, and relates to the technical field of pharmaceutical preparation. In the present disclosure, arctigenin is prepared into a liquid nano-preparation, having advantages of distribution of a droplet diameter on nanoscale, significantly increased specific surface area, rapid absorption, and high bioavailability. Meanwhile, nano-preparation entered the body can be captured by wandering leucocytes, and a medicament is delivered to inflammatory lesions through chemiotaxis, thereby conferring a targeted drug delivery feature on the arctigenin and making a therapy more targeted. Moreover, in the present disclosure, the arctigenin is dissolved in an oil phase, and the oil phase is dissolved in water by emulsification to further make the arctigenin dissolve in the water and increase water solubility of the arctigenin.

Abstract: A method includes obtaining a plurality of master sensor responses with a master sensor in a set of training fluids and obtaining node sensor responses in the set of training fluids. A linear correlation between a compensated master data set and a node data set is then found for a set of training fluids and generating node sensor responses in a tool parameter space from the compensated master data set on a set of application fluids. A reverse transformation is obtained based on the node sensor responses in a complete set of calibration fluids. The reverse transformation converts each node sensor response from a tool parameter space to the synthetic parameter space and uses transformed data as inputs of various fluid predictive models to obtain fluid characteristics. The method includes modifying operation parameters of a drilling or a well testing and sampling system according to the fluid characteristics.

Abstract: A touch panel includes a liquid crystal display body and a flexible printed circuit (FPC) electrically connected with the liquid crystal display body. The liquid crystal display body includes: sensing electrodes Rx, upper display screen glass, driving electrodes Tx, a color filter with a black frame, liquid crystals, a thin-film transistor drive array and lower display screen glass, where the liquid crystals are filled between the color filter with the black frame and the thin-film transistor drive array; and the liquid crystal display body comprises special-shaped regions at a lower edge of two sides of the liquid crystal display body.

Abstract: A wafer-level assembly method for a micro hemispherical resonator gyroscope includes: after independently manufactured glass substrates are softened and deformed at a high temperature, forming a micro hemispherical resonator on the glass substrate; forming glass substrate alignment holes at both ends of the glass substrate by laser ablation; aligning and fixing a plurality of identical micro hemispherical resonators on a wafer fixture by using the alignment holes as a reference, and then performing operations by using the wafer fixture as a unit to implement subsequent processes that include: releasing the micro hemispherical resonators, metallizing the surface, fixing to the planar electrode substrates, separating the wafer fixture and cleaning to obtain a micro hemispherical resonator gyroscope driven by a bottom planar electrode substrate.

Abstract: A device for separating and recovering flat-plate catalyst powder and a method for determining a wear ratio are provided. The device includes a powder separation unit and a powder recovery unit, a powder accumulation bin is respectively connected with a shell and a catalyst powder outlet, a cyclone outlet is configured on an inner side of a recovery shell, and a primary filter and a secondary filter are configured on an inner side wall of the recovery shell.

Abstract: Systems and methods for property valuation using automated valuation models are described herein, which involve a complex series of workflows for data processing, automated valuation modeling, and error detection—each of which are capable of leveraging machine learning algorithms/techniques and can be combined and operated together in a specific manner in order to improve data availability and data quality, improve the accuracy of generated property value estimates, improve the performance of the models over time, and allow the property value estimation to be adapted to various use cases. Estimation of property value may involve an ensemble model which reconciles the outputs of different sub-models based on a use case, with the sub-models using different approaches that have their own strengths and weaknesses.

Abstract: Embodiments of the present disclosure relate to a method, a device, and a computer program product for communication of the Internet of Things. The method includes receiving data of a first protocol from an access point of a first network, the data of the first protocol coming from an Internet of Things device wirelessly connected to the access point; converting the data of the first protocol into data of a second protocol through a gateway, the gateway having a first protocol stack corresponding to the first protocol and a second protocol stack corresponding to the second protocol; and sending the data of the second protocol to a core network node in a second network. According to the embodiments of the present disclosure, different types of networks can be converged with low cost and high efficiency through adaptation of protocol stacks between the different types of networks.

Abstract: Systems, apparatuses, and methods for efficiently processing arithmetic operations are disclosed. A computing system includes a processor capable of executing single precision mathematical instructions on data sizes of M bits and half precision mathematical instructions on data sizes of N bits, which is less than M bits. At least two source operands with M bits indicated by a received instruction are read from a register file. If the instruction is a packed math instruction, at least a first source operand with a size of N bits less than M bits is selected from either a high portion or a low portion of one of the at least two source operands read from the register file. The instruction includes fields storing bits, each bit indicating the high portion or the low portion of a given source operand associated with a register identifier specified elsewhere in the instruction.

Abstract: The present disclosure relates to a method, a device, and a program product for deploying a visual resource. In one method, a resource requirement of a vision application for the visual resource in a network system is acquired. Based on the resource requirement, the visual resource which will be called by the vision application is predicted. Based on processing capabilities of various edge devices and the visual resource in the network system, an edge device located near a terminal device in the network system is identified, wherein the terminal device is configured to run the vision application. Based on a time requirement in the resource requirement, the visual resource is deployed to the edge device. Further, a corresponding device and a corresponding program product are provided.

Abstract: A system and a method are provided for feasibility evaluation of UAV Digital Twin based on Vicon motion capture system is disclosed, which establishes a mission feasibility evaluation model according to flight history data of a target UAV acquired by the UAV Digital Twin system. The mission feasibility evaluation model includes a UAV trajectory prediction module and a mission feasibility determination module. The UAV trajectory prediction module acquires real-time position and attitude information of the target UAV according to the Vicon motion capture system, and predicts target flight trajectory of the target UAV according to the real-time position and attitude information. The mission feasibility determination module compares the position difference between an end point of the target flight trajectory and preset designated mission point to evaluate feasibility of target mission of the target UAV.

Abstract: Embodiments disclosed herein relate to a method, a device, and a computer program product for training an image classification model. The method includes: determining a first classification result obtained by the image classification model on pixel points of a sample image in a first training iteration, wherein the first classification result indicates that each of the pixel points belongs to one of a plurality of object classes; determining a second classification result obtained by the image classification model on the pixel points of the sample image in a second training iteration; determining, based on the first classification result and the second classification result, a first set of recall rates and a second set of recall rates for the plurality of object classes; and adjusting, based on the first set of recall rates and the second set of recall rates, the image classification model to obtain a trained image classification model.

Abstract: A processing tool for a superconducting magnet of an MRI system is disclosed. The processing tool comprising a first winding part and a second winding part. The first winding part is used as a winding framework for winding a main coil half-body. The second winding part is used as a winding framework for winding a shield coil. The processing tool has an infusion cavity. The infusion cavity comprises a main coil accommodating zone, a shield coil accommodating zone, and a linking zone. The main coil accommodating zone is used for accommodating the main coil half-body wound on the first winding part. The shield coil accommodating zone is used for accommodating the shield coil wound on the second winding part. The main coil accommodating zone is connected to the shield coil accommodating zone via the linking zone. The processing tool helps to reduce the difficulty of superconducting magnet processing.

Abstract: Disclosed are a method, a system, a computer equipment and a storage medium for nitrogen pollution hierarchical calculation in a water environment, and the method includes the following steps: carrying out a gridding processing on a watershed to obtain watershed grids; constructing a nitrogen pollution biogeochemical circulation model according to calculation methods and interrelations of carbon and nitrogen variables; establishing the nitrogen pollution biogeochemical circulation model in each of the watershed grids; and calculating a total non-point source nitrogen pollution in the watershed according to the nitrogen pollution biogeochemical circulation model in each of the watershed grids.

Abstract: A method disclosed includes following steps: gridding on a research area to obtain grid units; performing a numerical processing on fertilization influence features to obtain fertilization influence numerical features of each grid unit; acquiring time information of the fertilization manual in the research area; calculating the fertilization influence numerical features of each grid unit by using weights of the fertilization influence features, acquiring nitrogen fertilizer application amounts of each grid unit in different time periods; performing a data processing on a first geographic information system to obtain a second geographic information system; and using the second geographic information system to estimate a nitrogen fertilizer application amount in the research area. A system disclosed includes a gridding unit, a digitizing unit, an acquisition unit, a calculation unit, a data processing unit and a nitrogen fertilizer estimation unit.

Abstract: Disclosed are engineered cells comprising chimeric antigen receptors and uses thereof for treating prostate cancer.

Abstract: Disclosed are an energy self-sufficient high-efficiency photothermal evaporative nano-particle porous membrane and application thereof, including: dissolving polymer A in solvent B to obtain solution A; dripping solution A into solvent C to obtain a polymer A nano hydrogel dispersion; evenly mixing polymer A nano hydrogel dispersion and nano particle dispersion of photothermal conversion material D to obtain a co-blended dispersion; performing suction-filtering to the co-blended dispersion on a surface of a solvent-resistant membrane E to form an A-D co-blended membrane; and performing suction-filtering to a solvent F using the A-D co-blended membrane, followed by drying to obtain a high-efficiency photothermal evaporative nano-particle porous membrane.

Abstract: Systems and methods for property valuation using automated valuation models are described herein, which involve a complex series of workflows for data processing, automated valuation modeling, and error detection—each of which are capable of leveraging machine learning algorithms/techniques and can be combined and operated together in a specific manner in order to improve data availability and data quality, improve the accuracy of generated property value estimates, improve the performance of the models over time, and allow the property value estimation to be adapted to various use cases. Estimation of property value may involve an ensemble model which reconciles the outputs of different sub-models based on a use case, with the sub-models using different approaches that have their own strengths and weaknesses.

Abstract: A graphics processing unit (GPU) sequences provision of operands to a set of operand registers, thereby allowing the GPU to share at least one of the operand registers between processing. The GPU includes a plurality of arithmetic logic units (ALUs) with at least one of the ALUs configured to perform double precision operations. The GPU further includes a set of operand registers configured to store single precision operands. For a plurality of executing threads that request double precision operations, the GPU stores the corresponding operands at the operand registers. Over a plurality of execution cycles, the GPU sequences transfer of operands from the set of operand registers to a designated double precision operand register. During each execution cycle, the double-precision ALU executes a double precision operation using the operand stored at the double precision operand register.