Abstract: An OCTS-based CAR-T vector for treating pancreatic cancer and malignant mesothelioma includes lentiviral skeleton plasmid, human EF1? promoter (SEQ ID NO.14), OCTS chimeric receptor structural domain, and PDL1 single-chain antibody; the OCTS chimeric receptor structural domain consists of CD8 leader chimeric receptor signal peptide (SEQ ID NO.15), PDL1 single-chain antibody light chain VL (SEQ ID NO.16), PDL1 single-chain antibody heavy chain VH (SEQ ID NO.17), MESOTHELIN single-chain antibody light chain VL (SEQ ID NO.18), MESOTHELIN single-chain antibody heavy chain VH (SEQ ID NO.19), antibody Inner-Linker (SEQ ID NO.20), single-chain antibody Inter-Linker (SEQ ID NO.21), CD8 Hinge chimeric receptor linker (SEQ ID NO.22), CD8 Transmembrane chimeric receptor transmembrane domain (SEQ ID NO.23), TCR chimeric receptor T cell activation domain (SEQ ID NO.26) and chimeric receptor co-stimulator domain.

Abstract: An OCTS-based CAR-T vector for treating malignant glioma includes lentiviral skeleton plasmid, human EF1? promoter (SEQ ID NO.14), OCTS chimeric receptor structural domain, and PDL1 single-chain antibody; the OCTS chimeric receptor structural domain consists of CD8 leader chimeric receptor signal peptide (SEQ ID NO.15), PDL1 single-chain antibody light chain VL (SEQ ID NO.16), PDL1 single-chain antibody heavy chain VH (SEQ ID NO.17), EGFRvIII single-chain antibody light chain VL (SEQ ID NO.18), EGFRvIII single-chain antibody heavy chain VH (SEQ ID NO.19), antibody Inner-Linker (SEQ ID NO.20), single-chain antibody Inter-Linker (SEQ ID NO.21), CD8 Hinge chimeric receptor linker (SEQ ID NO.22), CD8 Transmembrane chimeric receptor transmembrane domain (SEQ ID NO.23), TCR chimeric receptor T cell activation domain (SEQ ID NO.26) and chimeric receptor co-stimulator domain.

Abstract: A method and apparatus is provided to reconstruct a computed tomography image using iterative reconstruction (IR) that is accelerated using various combinations of ordered subsets, conjugate gradient, preconditioning, resetting/restarting, and/or gradient approximation techniques. For example, when restarting criteria are satisfied the IR algorithm can be reset by setting conjugate-gradient parameters to initial values and/or by changing the number of ordered subsets. The IR algorithm can be accelerated by approximately calculating the gradients, by using a diagonal or Fourier preconditioner, and by selectively updating the preconditioner based on the regularization function. The update direction and step size can be calculated using the preconditioner and a surrogate function, which is not necessarily separable.

Abstract: A method and apparatus is provided generate a display image that optimize a tradeoff between resolution and noise by using blending weights/ratio based on the content/context of the image. The blending weights control the relative weights when combining multiple computed tomography (CT) images having different degrees of smoothing/denoising to generate a display image having the optimal tradeoff lying within the continuum between/among the CT images. The blending weights are automated based on information indicating the content/context of the display image (e.g., the segmented tissue type, average attenuation, and the display setting such as window width and window level). Thus, indicia indicating content/context of the image determine the weighting coefficients, which are used in a weighted sum, e.g., to combine the plurality of images with different noise/smoothing parameters into a single blended image, which is displayed.

Abstract: An improved system and method for estimating and compensating for motion by reducing motion artifacts produced during image reconstruction from helical computed tomography (CT) scan data. In a particular embodiment, the reconstruction may be based on helical partial angle reconstruction (PAR) and the registration may be performed utilizing one or more artificial intelligence (AI) based methods.

Abstract: A method and apparatus is provided to obtain projection data representing an intensity of X-ray radiation detected at a plurality of detector elements after traversing an object, the projection data being corrected for a baseline offset, correct the projection data by performing a positivity mapping to generate corrected projection data, perform a logarithm operation on the corrected projection data to generate post-log projection data, correct for a bias of the post-log projection data, using the projection data, to generate bias-corrected projection data, and reconstruct an image of the object from the bias-corrected projection data.

Abstract: An information processing method and an electronic device are provided. The method includes: acquiring first biometric information and second biometric information of a predetermined object located in a target area by an image acquisition using a synchronous acquisition process; and performing a biometric authentication on the predetermined object by combining the first biometric information and the second biometric information.

Abstract: The present disclosure provides a processing apparatus and a processing system, that the processing apparatus includes: a first main body having a first plane and a second plane adjacent to the first plane; a display device disposed on the first plane; and a first interface that is matched with a second interface of an acquisition apparatus, and is configured to obtain multimedia data collected by the acquisition apparatus from the second interface after the acquisition apparatus is detachably fixed to the second plane. The processing apparatus supports the accessory-type acquisition apparatus, which satisfies diversified use requirements.

Abstract: Systems and methods are provided for implementing an educational dialog system. An initial task model is accessed that identifies a plurality of dialog states associated with a task, a language model configured to identify a response meaning associated with a received response, and a language understanding model configured to select a next dialog state based on the identified response meaning. The task is provided to a plurality of persons for training. The task model is updated by revising the language model and the language understanding model based on responses received to prompts of the provided task, and the updated task is provided to a student for development of speaking capabilities.

Abstract: A method and apparatus is provided to simulate and correct for scatter flux detected in a computed tomography (CT) scanner. The scatter flux from a bowtie filter and an anti-scatter grid are pre-calculated to generate respective scatter tables. Scatter from an imaged object is simulated for some views of a CT scan using a three-step radiative transfer equation (RTE) method. Using the simulated scatter flux from these views, an accelerated simulation method, such as a multiplicative method, an additive method, and a kernel-based method, can determine scatter flux for the remaining views. The spatial model for X-ray scatter from the object can be based on a reconstructed image of object, and can be segmented into organs and material components having different scatter cross-sections. A scatter model outside the imaging region can be extrapolated using low-dose scanning, a scout scan, and/or anatomical information.

Abstract: The present application relates to a method performed at an electronic device for parsing tables in a PDF document. The method includes the following steps: receiving the PDF document containing a table area; extracting horizontal lines, vertical lines and text blocks in the table area; determining the types of tables in the table area according to the extracted horizontal lines and vertical lines; if the table is a quasi full-line table, determining the structure of the quasi full-line table in the table area according to the horizontal lines and the vertical lines in the table area with the assistance of the text blocks in the table area; and if the table is a quasi non-line table, determining the structure of the quasi non-line table in the table area according to the text blocks in the table area with the assistance of the horizontal lines and/or the vertical lines in the table area.

Abstract: A method and device for fabricating vascular networks in for tissue engineering. The vascular network is embedded in a porous scaffold and is created from a sacrificial wax template, according to one embodiment. A extrusion-based three dimensional printer is used to create the template, wherein the printer utilizes an extruder incorporating a mixer to maintain the consistency of the extrudate.

Abstract: The present application relates to a method and device for segmenting lines in a line chart. The device converts a line chart in which N legends are detected from an RGB color model to an LAB space model to obtain an LAB value of each legend in the line chart and an LAB value of each pixel in the line chart respectively; performs Euclidean distance calculation on the LAB value of each legend and the LAB value of each pixel in the line chart to generate N color difference distribution maps, one legend corresponding to one color difference distribution map; and finds out the minimum in each color difference distribution map, setting a segmentation threshold with reference to the minimum, and segmenting a rough line corresponding to the color difference distribution map in the color difference distribution map according to the segmentation threshold.

Abstract: Systems and methods for determining location-based bid modifier suggestions include determining a content placement cost based in part on a likelihood of a user that has entered a physical establishment completing a transaction, an average transaction amount for the establishment, and an expected return on investment (ROI). A location-based bid modifier may be determined using the computed cost and a base bid amount. In some implementations, the location-based bid modifier may also be based on a probability model that models the probability of the user visiting the establishment.

Abstract: Embodiments provide a resource management technology that may be applied to a host, where the host includes a CPU, an endpoint connected to the CPU, and an I/O device connected to the endpoint. A method includes: allocating, by the CPU, a target endpoint to a target process, where a virtual device is disposed on the target endpoint; obtaining, by the target endpoint, a performance specification of the target process, and adjusting a performance parameter of the virtual device according to the performance specification, where the adjusted virtual device satisfies a total requirement of performance specifications of all processes that use the target endpoint; and when the target process needs to access a resource, obtaining, from the I/O device, a resource that satisfies the performance specification of the target process, and providing the obtained resource to the target process for use.

Abstract: A packet processing method in a cloud computing system is disclosed. The cloud computing system includes a host and a cloud management platform. At least one network interface card is connected to the host. The at least one network interface card includes at least three network ports. A first virtual machine running on the host sends a data packet to a second network port through a first network port using a network cable between the first and the second network port. The second network port sends the data packet to a virtual machine monitor (VMM) of the host for performing network function processing. The data packet is then sent to a second virtual machine via a third network port of the host after the network function processing.

Abstract: An improved system and method for estimating and compensating for motion by reducing motion artifacts produced during image reconstruction from helical computed tomography (CT) scan data. In a particular embodiment, the reconstruction may be based on helical partial angle reconstruction (PAR) and the registration may be performed utilizing one or more artificial intelligence (AI) based methods.

Abstract: A multi-node data synchronous acquisition system and a method for real-time monitoring of underwater surface deformation. The system includes at least four sensor arrays, where each of the sensor array consists of a plurality of ribbon-like rigid substrates connected by movable joints. On each section of rigid substrate, three sensor units are respectively connected to a slave station data acquisition unit through cables. The slave station data acquisition unit is connected with a central controller through a cable. The central controller includes a compressive cabin outside and an embedded controller and a power supply inside. Each slave station data acquisition unit acquires data from an MEMS attitude sensor and then transmits it to the embedded controller. The present invention may realize synchronous acquisition of underwater or even underwater multi-node data, implement three-dimensional surface reconstruction, and may be used for improving the ocean observation capability.

Abstract: An apparatus and method are described using a forward model to correct pulse pileup in spectrally resolved X-ray projection data from photon-counting detectors (PCDs). To calibrate the forward model, which represents each order of pileup using a respective pileup response matrix (PRM), an optimization search determines the elements of the PRMs that optimize an objective function measuring agreement between the spectra of recorded counts affected by pulse pileup and the estimated counts generated using forward model of pulse pileup. The spectrum of the recorded counts in the projection data is corrected using the calibrated forward model, by determining an argument value that optimizes the objective function, the argument being either a corrected X-ray spectrum or the projection lengths of a material decomposition. Images for material components of the material decomposition are then reconstructed using the corrected projection data.

Abstract: A PDL1 block CAR-T transgenic vector for suppressing immune escape includes: AmpR sequence containing ampicillin resistance gene (SEQ ID NO: 1); prokaryotic replicon pUC Ori sequence (SEQ ID NO: 2); virus replicon SV40 Ori sequence (SEQ ID NO: 3); eWPRE enhanced posttranscriptional regulatory element of hepatitis B virus (SEQ ID NO: 11); human EF1a promoter (SEQ ID NO: 12); lentiviral packaging cis-elements for lentiviral packaging; humanized single-chain antibody fragment PDL1scFv1 (SEQ ID NO: 21), PDL1scFv2 (SEQ ID NO: 22), or PDL1scFv3 (SEQ ID NO: 23) of human PDL1; IRES ribosome binding sequence (SEQ ID NO: 25); IL6 signal peptide (SEQ ID NO: 26); human antibody Fc segment (SEQ ID NO: 27); and chimeric antigen receptors of the second or third generation CAR for integrating recognition, transmission and initiation. A preparation method of the PDL1 block CAR-T transgenic vector and an application thereof in a preparation of anti-immune escape drugs.