Abstract: Disclosed herein are a content provision method and apparatus using a convergence network. The content provision method may include creating a Quick UDP Internet Connections V1 (QUICV1) path with User Equipment (UE) through a Fifth-Generation (5G) core, when content satisfies a preset condition while the content is being provided to the UE through the QUICV1 path, determining to offload the content through the 5G core, creating an Internet Protocol Security (IPSEC) tunnel with an Advanced Television Systems Committee (ATSC) gateway (GW) through the 5G core, generating a QUIC multicast stream, providing QUIC multicast session information to multiple UE devices, and providing the content to multiple UE devices, for which a mode switches from a QUICV1 mode to a QUIC multicast mode, through the ATSC GW.

Abstract: A device for controlling an operation of a system performing a task determines a current control input based on the feedback signal by solving a polynomial optimization of a polynomial function with a reformulation derived by introducing additional variables reducing the degree of the polynomial function till a target degree subject to constraints on a structure of the additional variables. The device solves a mixed-integer optimization problem to find a subset of encodings among all possible encodings of factorizations of the polynomial function that reduce the degree of the polynomial function to the target degree with a predetermined minimum number of additional variables and selects an optimal encoding from the subset of encodings with an optimal relaxation bound.

Abstract: An operation method of a first communication node may comprise: determining a latent space correction operation including a transformation operation for correcting latent data output from a first encoder of a first artificial neural network corresponding to the first communication node, based on information of a reference data set provided from a second communication node; encoding first input data including first feedback information through the first encoder; correcting first latent data output from the first encoder based on the determined latent space correction operation; and transmitting a first feedback signal including the corrected first latent data to the second communication node, wherein the corrected first latent data is decoded into first output data corresponding to the first input data in a second decoder of a second artificial neural network corresponding to the second communication node.

Abstract: The present disclosure provides a method and a device for encoding/decoding a multi-scale feature group. A multi-scale feature group encoding method according to the present disclosure includes transforming a multi-scale feature group into a multi-channel feature; adjusting the number of channels of the multi-channel feature; acquiring a plane image based on a feature that the number of channels is adjusted; and encoding the plane image.

Abstract: Disclosed herein is a method for automatically recognizing correspondence between calibration pattern feature points in camera calibration. The method for automatically recognizing correspondence between calibration pattern feature points in camera calibration includes generating calibration pattern candidates from an input image using a point-line-face-multi-face hierarchical structure, and performing verification on the calibration pattern candidates based on a preset verification condition.

Abstract: A method of encoding a speech signal includes predicting a feature vector of each of a plurality of frames included in the speech signal based on a ground-truth feature vector of a previous frame of each of the plurality of frames, calculating a residual signal corresponding to each of the plurality of frames based on a ground-truth feature vector of each of the plurality of frames and a predicted feature vector of each of the plurality of frames, and generating a bitstring corresponding to each of the plurality of frames by quantizing the residual signal.

Abstract: A method for determining whether a Systemic lupus erythematosus (SLE) patient is undergoing a pre-flare event, the method comprising obtaining a blood, serum, plasma, or saliva sample from the SLE patient; assessing a level of expression for each of a plurality of biomarkers, the plurality of biomarkers comprising OPN, MCP-1/CCL2, MCP-3/CCL7, IL-17A, TNFRII, TNFRI, IL-4, IL-5, BLyS, TNF?, and IL-7; determining a Lupus Flare Risk Prediction Index (LFPI) for the patient based upon the level of expression for each of a plurality of biomarkers; and based upon the LFPI, determining whether the patient is undergoing a pre-flare event.

Abstract: Provided is a porous body for capturing cancer cells, including a biocompatible inorganic material, the porous body for capturing cancer cells having biocompatibility and also having stability in a living body. The porous body for capturing cancer cells can be used for application related to cancer such as a treatment, a treatment assistance, a test, or a diagnosis.

Abstract: A method includes: pre-processing initial data of an acquired to-be-analyzed confrontation scenario, to obtain triplet data marked in a graph data structure, inputting the triplet data into a pre-trained analyzing model, to determine a result of analysis on semantic information of the to-be-analyzed confrontation scenario; wherein the analyzing model includes a plurality of operator networks that are provided with execution priorities, wherein the plurality of operator networks are configured for analyzing relations of different types; and the processing result of any one of the operator networks includes: in the relation type corresponding to the operator network, respective true relations of all of the node pairs, and confidences and descriptive values of the true relations; and according to the graph data structure that is updated by using the processing results of all of the operator networks, characterizing the result of analysis on the semantic information of the to-be-analyzed confrontation scenario.

Abstract: Disclosed are a relay method and device in a communication system. An operation method of a first communication node comprises the steps of: transmitting a reference signal to one or more candidate R nodes; receiving first feedback information including a minimum value of a first RSRP from a first candidate R node belonging to the one or more candidate R nodes; receiving second feedback information including a minimum value of a second RSRP from a second candidate R node belonging to the one or more candidate R nodes; comparing a first value based on the first feedback information with a second value based on the second feedback information; when the first value is greater than the second value, selecting the first candidate R node as an R node that is to perform a relaying operation; and communicating with a second communication node via the R node.

Abstract: A non-oriented silicon steel and a production method are provided. The non-oriented silicon steel is prepared by using the processes of molten iron desulfurization, converter smelting, RH refining, continuous casting, hot rolling, acid tandem rolling, annealing, coating and finishing, and a chemical composition is as follows in mass percent: C?0.003%, S?0.008%, Si: 0.35%+?1, Mn: 0.15-0.25%, P: 0.04-0.06%, Sn: 0.015%+?2, Nb?0.004%, V?0.004%, Ti?0.005%, Mo?0.004%, Cr?0.03%, Ni?0.03%, Cu?0.03%, N?0.003% and the balance of Fe and inevitable inclusions. The non-oriented silicon steel has the iron loss P1.5/50?5.5 W/kg and the magnetic induction intensity B5000?1.75 when having the thickness of 0.5 mm, and desulfurization is not needed in the RH refining process.

Abstract: A cigar tobacco leaf harvesting maturity identification method and system based on integrated learning are provided. The method comprises: acquiring an image of a cigar tobacco leaf to be detected, and preprocessing the image of the cigar tobacco leaf to be detected; carrying out vectorization dimensionality reduction on the preprocessed image of the cigar tobacco leaf to be detected, and extracting RGB and HSV eigenvalues to obtain a feature set; carrying out feature dimensionality reduction on data in the feature set by using a Wrapper algorithm to obtain an initial data set of the image of the cigar tobacco leaf to be detected; and inputting the initial data set into a trained random forest model, and outputting a maturity identification result of the image of the cigar tobacco leaf.

Abstract: A vaccine comprising tumor-homing bacteria which are genetically modified to express at least one cancer-associated antigen and a pharmaceutically acceptable carrier is disclosed. Uses thereof are also disclosed.

Abstract: Disclosed herein is a method of decoding an image. The method includes generating an inter prediction block by performing inter prediction with respect to a current block, generating an intra prediction block by performing intra prediction with respect to the current block, determining a first weight and a second weight, and generating a final prediction block by respectively applying the first weight and the second weight to the inter prediction block and the intra prediction block. The generating of the intra prediction block includes generating the intra prediction block using a predefined intra prediction mode.

Abstract: A method of treating a subject suffering from an ischemic disease associated with Ca2+ overload is provided, the method including administering to the subject an effective amount of an inhibitor of ataxia telangiectasia and Rad3-related (ATR) kinase. Also provided is a method of treating a subject suffering from acute ischemic stroke, the method including administering to the subject an effective amount of the ATR kinase inhibitor berzosertib.

Abstract: The present disclosure relates to a fluid treatment apparatus. The fluid treatment apparatus includes a first system for removing one or more target compounds from a fluid, said first system comprising adsorbent particles; a second system for regenerating said adsorbent particles; a first connector between said first system and said second system, said first connector configured to transfer adsorbent particles from said first system to said second system; and a second connector between said first system and said second system, said second connector configured to release of adsorbent particles from said second system, wherein said first system and said second system are decoupled. The present disclosure further relates to a system comprising one or more fluid treatment apparatus described herein. Also described herein are methods for treating fluid and a system comprising the methods for treating fluid described herein.

Abstract: The present invention relates to an image encoding and decoding method. An image decoding method for the same may include: obtaining transform coefficients of a current block from a bitstream; determining a scanning unit and a scanning order of the current block; and rearranging the transform coefficients of the current block by scanning the same base on the determined scanning unit and scanning order.

Abstract: Disclosed herein is a device of self-diagnosing breast cancer with an artificial intelligence and with no assistance from a physician, the present disclosure provides a thermographic ultrasound scanner device that guides a proper posture correction of an ultrasound scanner with an augmented reality that delivers feedback control commands to a patient who self-diagnoses through a smart mirror and enables a patient to self-diagnose breast cancer by an artificial intelligence neural network that has been learned by thermographic and ultrasound images, and a method of self-diagnosing using the same.

Abstract: Provided are probiotic bacterium-derived extracellular micro- and/or nanoparticles.

Abstract: A mobile system (100) for treating an accumulator, a battery, a cell and/or a vehicle that includes an accumulator, a battery, a cell. The system is arranged on a mobile vehicle, e.g. a truck, a trailer, the system comprising at least one container/reactor (101) in which the pressure can be increased from 2 to 40 bar, and the container/reactor having at least one door (102) for hermetically opening and closing the container/reactor (101), a heating element/device 110 for raising the temperature inside the container/reactor to at least 100° C. and at least one H2O supply.