Abstract

The present invention relates to a composition, kit, and method for diagnosing individuals with normal cognitive function in Alzheimer's disease or for identifying individuals with high cognitive reserve using genetic polymorphisms.

IPC Classes  ?

• C12Q 1/6883 - Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material

Abstract

An electronic device for predicting the degree of risk of cognitive decline, and an operating method thereof are disclosed. The operating method of the electronic device may comprise the operations of: examining the olfactory function of a subject on the basis of functional brain imaging for a plurality of olfactory stimuli; measuring brain structure abnormalities of the subject on the basis of structural brain imaging for brain regions involved in the olfactory function; evaluating general olfactory function for a preset number of olfactory stimuli recognizable by the subject; identifying general medical information about the subject on the basis of the presence or absence of a disease according to the characteristics of the subject; and determining the degree of risk of cognitive decline of the subject on the basis of the olfactory function examination result, the brain structure abnormality measurement result, the general olfactory function evaluation result, and the general medical information identification result.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• G06T 7/60 - Analysis of geometric attributes

Abstract

A method and an apparatus are disclosed for video coding using an improved inloop filter for chroma components. In the disclosed embodiments, a video decoding device performs obtaining a reconstructed frame that includes luma samples and chroma samples, subsequently obtaining a scale value representing a resolution difference between the reconstructed frame and an original frame. Responsive to the reconstructed frame having a resolution that is based on the scale value and is less than a resolution of the original frame, the video decoding device generates an upsampled chroma frame by inputting the luma samples and the chroma samples into a cross component resampling inloop filter (CC-RIF).

IPC Classes  ?

• H04N 19/82 - Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation involving filtering within a prediction loop
• H04N 19/117 - Filters, e.g. for pre-processing or post-processing
• H04N 19/186 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a colour or a chrominance component
• H04N 19/503 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction

Abstract

The present: invention relates to a pharmaceutical composition comprising curcumin and ginsenoside, and a formulation comprising same. Using curcumin and ginsenoids according to the present invention in combination with butyric acid and sucralfate restores cell growth, mobility, and endothelial cell tube-forming by ability reduced irradiation, and inhibits an inflammatory response induced in macrophages by LPS treatment. In addition, it was confirmed that, when an irradiated mouse is topically treated with the formulation according to the present invention comprising the compounds, intestinal epithelial tissue damaged by irradiation is restored and the expression of inflammatory cytokines in the intestinal tissue is suppressed. Furthermore, a mixture of a ginseng extract and a turmeric extract also restored the intestinal epithelial tissue damaged by irradiation. Therefore, the pharmaceutical composition comprising curcumin, ginsenoid, butyric acid, and sucralfate, or the pharmaceutical composition comprising a mixture of a ginseng extract and a turmeric extract, and the formulation according to the present invention comprising same can be utilized for treating radiation proctitis.

IPC Classes  ?

• A61K 31/575 - Compounds containing cyclopenta[a]hydrophenanthrene ring systemsDerivatives thereof, e.g. steroids substituted in position 17 beta by a chain of three or more carbon atoms, e.g. cholane, cholestane, ergosterol, sitosterol
• A23L 33/105 - Plant extracts, their artificial duplicates or their derivatives
• A61K 9/70 - Web, sheet or filament bases
• A61K 31/12 - Ketones
• A61K 36/258 - Panax (ginseng)
• A61K 45/06 - Mixtures of active ingredients without chemical characterisation, e.g. antiphlogistics and cardiaca
• A61K 47/26 - Carbohydrates, e.g. sugar alcohols, amino sugars, nucleic acids, mono-, di- or oligo-saccharidesDerivatives thereof, e.g. polysorbates, sorbitan fatty acid esters or glycyrrhizin
• A61K 47/32 - Macromolecular compounds obtained by reactions only involving carbon-to-carbon unsaturated bonds, e.g. carbomers
• A61P 1/00 - Drugs for disorders of the alimentary tract or the digestive system

Abstract

The present invention relates to an apparatus and method for processing quantization artificial intelligence learning using accuracy information and similarity information, and the apparatus for processing quantization artificial intelligence learning, according to an embodiment of the present invention, may comprise: a learning processing unit that outputs learning data by learning input data by using an artificial intelligence model; a quantization processing unit that outputs quantized data by quantizing the learning data; and a relearning processing unit that relearns the quantized data by considering a ratio between accuracy information and distribution information, which are based on a loss function, with respect to the learning data and the quantized data.

IPC Classes  ?

• G06N 3/0495 - Quantised networksSparse networksCompressed networks
• G06N 3/0442 - Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
• G06N 3/045 - Combinations of networks

Abstract

An embodiment of the present invention provides a phantom device for inspecting a dose of an irradiator, the phantom device comprising: a tank for receiving water therein; a position adjusting part connected to the tank and receiving power from the outside to be able to adjust the position of the tank; and a control part for controlling an operation of the position adjusting part, wherein the position adjusting part is provided with: a height adjusting part capable of adjusting the position of the tank in one direction perpendicular to the ground; and a horizontal adjusting part capable of adjusting an angle formed between the tank and a plane perpendicular to the one direction.

IPC Classes  ?

• A61N 5/10 - X-ray therapyGamma-ray therapyParticle-irradiation therapy
• G01T 1/161 - Applications in the field of nuclear medicine, e.g. in vivo counting

Abstract

The present invention relates to a neural structure search device and a method therefor. The neural structure search device according to one embodiment comprises: a search space configuration unit which configures a plurality of operator templates by matching, to each other, hardware blocks corresponding to the plurality of operators, and which configures a search space on the basis of the plurality of operator templates; and a neural structure search unit for deriving a target neural network through a neural search process based on the search space.

IPC Classes  ?

• G06N 3/04 - Architecture, e.g. interconnection topology
• G06N 3/084 - Backpropagation, e.g. using gradient descent

Abstract

Disclosed are a method and device for dynamic volume coding using the compression of dynamic three-dimensional spatial information. In the present embodiment, a volume decoding device decodes tensor features representing an I-volume, and weights of a tensor generation model. The volume decoding device reconstructs the tensor generation model by using the weights of the tensor generation model. The volume decoding device reconstructs tensor features of a B-volume on the basis of two nearest decoded I-volumes by using the tensor generation model. The volume decoding device generates an image of the current point in time on the basis of the tensor features of the I-volume when the current time corresponds to decoding of the I-volume. When the current time corresponds to decoding of the B-volume, the volume decoding device generates an image of the current point in time on the basis of the reconstructed tensor features of the B-volume.

IPC Classes  ?

• H04N 19/597 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding specially adapted for multi-view video sequence encoding
• H04N 19/124 - Quantisation
• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards
• G06N 3/0464 - Convolutional networks [CNN, ConvNet]

Abstract

The present invention relates to a recombinant microorganism capable of producing polyhydroxyalkanoate and a method for producing polyhydroxyalkanoate, using same and, more specifically, to: a recombinant microorganism in which a gene encoding an enzyme for converting amino acids into 2-hydroxy acids, a gene encoding hydroxyisocaproate-CoA transferase, and a gene encoding polyhydroxyalkanoate synthase are introduced or amplified; and a method for producing polyhydroxyalkanoate, using the recombinant microorganism.

IPC Classes  ?

• C12N 15/70 - Vectors or expression systems specially adapted for E. coli
• C12N 15/52 - Genes encoding for enzymes or proenzymes
• C12N 9/88 - Lyases (4.)
• C12N 9/10 - Transferases (2.)
• C12P 7/625 - Polyesters of hydroxy carboxylic acids

Abstract

Disclosed is a video encoding and decoding technology using a differential modulation technique for a residual signal in order to enhance compression performance in a transform skip mode. The differential modulation technique is applicable to both luma and chroma components as long as the chroma format is not monochrome (i.e. as long as chroma_format_idc=0 is not true).

IPC Classes  ?

• H04N 19/132 - Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking
• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/159 - Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/186 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a colour or a chrominance component
• H04N 19/46 - Embedding additional information in the video signal during the compression process
• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards

Abstract

Disclosed is a video encoding and decoding technology using a differential modulation technique for a residual signal in order to enhance compression performance in a transform skip mode. The differential modulation technique is applicable to both luma and chroma components as long as the chroma format is not monochrome (i.e. as long as chroma_format_idc=0 is not true).

IPC Classes  ?

• H04N 19/132 - Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking
• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/159 - Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/186 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a colour or a chrominance component
• H04N 19/46 - Embedding additional information in the video signal during the compression process
• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards

Abstract

Disclosed is a video encoding and decoding technology using a differential modulation technique for a residual signal in order to enhance compression performance in a transform skip mode. The differential modulation technique is applicable to both luma and chroma components as long as the chroma format is not monochrome (i.e. as long as chroma_format_idc=0 is not true).

IPC Classes  ?

• H04N 19/132 - Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking
• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/159 - Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/186 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a colour or a chrominance component
• H04N 19/46 - Embedding additional information in the video signal during the compression process
• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards

Abstract

Disclosed is a video encoding and decoding technology using a differential modulation technique for a residual signal in order to enhance compression performance in a transform skip mode. The differential modulation technique is applicable to both luma and chroma components as long as the chroma format is not monochrome (i.e. as long as chroma_format_idc=0 is not true).

IPC Classes  ?

• H04N 19/132 - Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking
• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/159 - Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/186 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a colour or a chrominance component
• H04N 19/46 - Embedding additional information in the video signal during the compression process
• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards

Abstract

The present specification relates to a composition for treating or preventing recurrence of chondrosarcoma, and a composition for diagnosing or predicting prognosis of chondrosarcoma. More specifically, i) the composition for treating or preventing recurrence of chondrosarcoma according to one aspect comprises a SIRT1 inhibitor (e.g., EX527, shRNA, nicotinamide), and thus can inhibit chondrosarcoma (or a tumor thereof) and, particularly when used in combination with a commercially available anticancer therapeutic agent (e.g., doxorubicin), can exhibit a synergetic effect in treating chondrosarcoma, and ii) the composition for diagnosing or predicting the prognosis of chondrosarcoma can diagnose chondrosarcoma with high accuracy or predict the prognosis of chondrosarcoma by measuring the expression levels of one or more selected from the group consisting of SIRT1, NAMPT, and NAPRT.

IPC Classes  ?

• C12N 9/78 - Hydrolases (3.) acting on carbon to nitrogen bonds other than peptide bonds (3.5)
• C07K 14/47 - Peptides having more than 20 amino acidsGastrinsSomatostatinsMelanotropinsDerivatives thereof from animalsPeptides having more than 20 amino acidsGastrinsSomatostatinsMelanotropinsDerivatives thereof from humans from vertebrates from mammals

Abstract

The present embodiment discloses a video coding method and apparatus based on an implicit neural video representation (INVR). In the present embodiment, an image decoding apparatus decodes decoder parameters and embedding of a 2D INVR model. Here, the embedding is a compressed representation of a low frequency component of the current 2D frame, and is generated and provided by an encoder of the 2D INVR model. The image decoding apparatus reconstructs a decoder of the 2D INVR model by using the decoder parameters. The image decoding apparatus reconstructs the current 2D frame by inputting the embedding into the decoder of the 2D INVR model.

IPC Classes  ?

• H04N 19/625 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using discrete cosine transform [DCT]
• H04N 19/124 - Quantisation
• H04N 19/13 - Adaptive entropy coding, e.g. adaptive variable length coding [AVLC] or context adaptive binary arithmetic coding [CABAC]
• H04N 19/129 - Scanning of coding units, e.g. zig-zag scan of transform coefficients or flexible macroblock ordering [FMO]
• H04N 19/147 - Data rate or code amount at the encoder output according to rate distortion criteria
• G06N 3/082 - Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
• G06N 3/0495 - Quantised networksSparse networksCompressed networks

Abstract

The present invention relates to a vision transformer device and method using token merging, and the vision transformer device divides, into a plurality of patches, an image to be recognized, processes any one patch from among the plurality of patches as input data in a token form, performs transformer encoding on the input data by using a plurality of transformer blocks, performs, only in any one of the plurality of transformer blocks, token merging on tokens selected on the basis of similarity between a reference token, which is selected from among a plurality of tokens that constitute a token matrix based on the input data, and an adjacent token, and reference similarity, and performs, on the basis of a token merging processing result that is output through the plurality of transformer blocks, object recognition inference on the image to be recognized.

IPC Classes  ?

• G06V 10/26 - Segmentation of patterns in the image fieldCutting or merging of image elements to establish the pattern region, e.g. clustering-based techniquesDetection of occlusion
• G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
• G06V 10/74 - Image or video pattern matchingProximity measures in feature spaces
• G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
• G06T 7/11 - Region-based segmentation
• G06N 3/08 - Learning methods

Abstract

An anomaly detection method robust against adversarial attacks includes the steps in which: an anomaly detection device acquires analysis target data; the anomaly detection device calculates a first outlier score for the analysis target data; the anomaly detection device pre-detects whether an anomaly is present in the analysis target data on the basis of the first outlier score; the anomaly detection device calculates a second outlier score for the analysis target data when whether an anomaly is present in the analysis target data cannot be determined as a result of the pre-detection; and the anomaly detection device post-detects whether an anomaly is present in the analysis target data on the basis of the second outlier score. (Representative drawing) FIG. 1

IPC Classes  ?

• H04L 9/40 - Network security protocols
• G06N 3/0455 - Auto-encoder networksEncoder-decoder networks

Abstract

The present invention identifies for the first time that the receptor of dimeric TCTP is CD300C, and relates to an anti-CD300C antibody, a pharmaceutical use thereof, and a drug screening method and a disease diagnosis method using CD300C. In the present invention, it was confirmed that an extracellular domain of CD300C interacts with dimeric TCTP. Accordingly, CD300C can be effectively used as a target for the development of preventive or therapeutic agents for allergic diseases, inflammatory diseases, or malaria. The anti-CD300C antibody of the present invention can be effectively used for preventing or treating allergic diseases, inflammatory diseases, or malaria, or can be effectively used for drug screening or diagnosis related to allergic diseases, inflammatory diseases, or malaria.

IPC Classes  ?

• C07K 16/28 - Immunoglobulins, e.g. monoclonal or polyclonal antibodies against material from animals or humans against receptors, cell surface antigens or cell surface determinants
• A61P 37/08 - Antiallergic agents
• A61P 29/00 - Non-central analgesic, antipyretic or antiinflammatory agents, e.g. antirheumatic agentsNon-steroidal antiinflammatory drugs [NSAID]
• A61P 19/10 - Drugs for skeletal disorders for bone diseases, e.g. rachitism, Paget's disease for osteoporosis
• A61P 33/06 - Antimalarials
• G01N 33/50 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing
• G01N 33/68 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing involving proteins, peptides or amino acids
• A61K 39/00 - Medicinal preparations containing antigens or antibodies

Abstract

The present disclosure relates to a photoelectrochemical cell used for the conversion of carbon dioxide to formate, and a method for converting carbon dioxide using same.

IPC Classes  ?

• C25B 9/50 - Cells or assemblies of cells comprising photoelectrodesAssemblies of constructional parts thereof
• C25B 3/21 - Photoelectrolysis
• C25B 11/049 - Photocatalysts
• C25B 11/077 - Electrodes formed of electrocatalysts on a substrate or carrier characterised by the electrocatalysts material consisting of a single catalytic element or catalytic compound the compound being a non-noble metal oxide
• C25B 3/26 - Reduction of carbon dioxide
• C25B 3/01 - Products
• C25B 11/067 - Inorganic compound e.g. ITO, silica or titania
• C25B 11/073 - Electrodes formed of electrocatalysts on a substrate or carrier characterised by the electrocatalysts material

Abstract

The present disclosure relates to a method of treating cancer using a tryptophanyl-tRNA synthetase (WRS) inhibitor. The WRS is secreted by cancer cells and induces or promotes differentiation of myeloid-derived suppressor cells (MDSCs), which may inhibit anticancer immunity of immune cells, and therefore, the WRS inhibitor may effectively inhibit proliferation of cancer cells by inhibiting expression or activity of the WRS and inhibiting differentiation of MDSCs. Accordingly, the present disclosure may be used as an effective method of ameliorating or treating cancer and a method of enhancing or promoting anticancer efficacy of an anticancer drug, and further, may be usefully utilized as a method of screening a substance that inhibits the expression or activity of WRS as an anticancer drug.

IPC Classes  ?

• C07K 16/40 - Immunoglobulins, e.g. monoclonal or polyclonal antibodies against enzymes
• A61K 31/713 - Double-stranded nucleic acids or oligonucleotides
• A61K 45/06 - Mixtures of active ingredients without chemical characterisation, e.g. antiphlogistics and cardiaca
• A61P 35/00 - Antineoplastic agents
• G01N 33/50 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing
• G01N 33/68 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing involving proteins, peptides or amino acids

Abstract

A dry hydrogen production method includes drying sludge; producing a sludge mixture by mixing the dried sludge with an aqueous hydroxide solution and then drying a mixture or mixing the dried sludge with hydroxide powder; introducing the sludge mixture into a reactor; producing a reaction product by heating the sludge mixture in the reactor without supplying water or vapor; separating the reaction product into a gas effluent and a solid effluent through gas-solid separation; and producing a gas product from the gas effluent.

IPC Classes  ?

• C01B 3/02 - Production of hydrogen or of gaseous mixtures containing hydrogen
• C01D 7/07 - Preparation from the hydroxides

Abstract

An apparatus for obtaining an image may include a multispectral image sensor configured to obtain an image through four or more channels, and a processor configured to estimate illumination information by inputting the obtained image to a pre-trained deep learning network and perform color transformation for the obtained image based on the estimated illumination information, wherein the deep learning network learns a channel correlation between the channels to output the estimated illumination information.

IPC Classes  ?

• H04N 9/73 - Colour balance circuits, e.g. white balance circuits or colour temperature control
• G06V 10/60 - Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model
• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

Abstract

The present invention relates to an apparatus for generating a generative adversarial network (GAN)-based electrocardiogram reconstruction model, the apparatus comprising: an input unit for receiving a single-lead electrocardiogram; a generator for reconstructing a 12-lead electrocardiogram on the basis of the single-lead electrocardiogram; and a discriminator that uses one of a first input value, which is a combination of the 12-lead electrocardiogram and the single-lead electrocardiogram, or a second input value, which is a combination of an actual 12-lead electrocardiogram (ground-truth) and the single-lead electrocardiogram, as an input value, and determines whether the input value is the reconstructed 12-lead electrocardiogram or the actual 12-lead electrocardiogram. According to the present invention, a multi-lead electrocardiogram that more accurately reflects the characteristics of an actual electrocardiogram can be reconstructed from a single lead electrocardiogram.

IPC Classes  ?

• A61B 5/327 - Generation of artificial ECG signals based on measured signals, e.g. to compensate for missing leads
• A61B 5/349 - Detecting specific parameters of the electrocardiograph cycle
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• G06N 3/088 - Non-supervised learning, e.g. competitive learning
• G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

The present invention relates to a composition for preventing or treating inflammatory skin diseases, comprising transcriptional coactivator with PDZ-binding motif (TAZ) or an agonist thereof as an active ingredient. The composition of the present invention can efficiently ameliorate skin inflammatory diseases, including psoriasis, by controlling the stability of TCTP, and thus can be widely used in related industrial fields.

IPC Classes  ?

• A61K 38/17 - Peptides having more than 20 amino acidsGastrinsSomatostatinsMelanotropinsDerivatives thereof from animalsPeptides having more than 20 amino acidsGastrinsSomatostatinsMelanotropinsDerivatives thereof from humans
• A61P 17/00 - Drugs for dermatological disorders
• A61P 29/00 - Non-central analgesic, antipyretic or antiinflammatory agents, e.g. antirheumatic agentsNon-steroidal antiinflammatory drugs [NSAID]
• A23L 33/17 - Amino acids, peptides or proteins
• G01N 33/68 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing involving proteins, peptides or amino acids

Abstract

Disclosed is a method for generating an occupancy map. The method for generating an occupancy map may include the steps of: setting, through a first processor of a serial processing method, a three-dimensional shared ray space having a grid shape of a uniform interval for ray-tracing on the basis of a position of a robot; constructing, through a second processor of a parallel processing method, a bounding volume hierarchy (BVH) for the set shared ray space; classifying, through the second processor by using the ray-tracing, an occupancy state of a voxel, intersecting with a ray, among voxels included in the shared ray space on the basis of the constructed BVH; and updating, through the first processor, an occupancy map in the form of an octree by performing probabilistic volumetric mapping (PVM) on the basis of the occupancy state of the classified voxel.

IPC Classes  ?

• G05D 1/246 - Arrangements for determining position or orientation using environment maps, e.g. simultaneous localisation and mapping [SLAM]
• G05D 1/243 - Means capturing signals occurring naturally from the environment, e.g. ambient optical, acoustic, gravitational or magnetic signals
• G06T 17/00 - 3D modelling for computer graphics
• G06T 15/08 - Volume rendering
• G06T 15/06 - Ray-tracing
• G06T 7/30 - Determination of transform parameters for the alignment of images, i.e. image registration
• G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
• G06V 20/56 - Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle

Abstract

A method of generating a robot path is provided. The method includes identifying a drawing pose set for a manipulator included in a robot in order to draw a two-dimensional (2D) image on a three-dimensional (3D) target surface, setting a profile curve by projecting surface points of the 3D target surface onto an xy-plane, determining coverage circles of the manipulator that are capable of covering all surface points of the profile curve, deriving bounding circles for a mobile platform of the robot mounting the manipulator, corresponding to each of the determined coverage circles, and generating a translation path of the robot for drawing the 2D image on the 3D target surface based on the derived bounding circles.

IPC Classes  ?

• B25J 9/16 - Programme controls
• G06T 7/60 - Analysis of geometric attributes
• G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods

Abstract

The present invention relates to a composition for skin whitening and a method for preparing same and, to a composition for skin whitening and a method for preparing same, in which a compound having a specific molecular structure and derived from a culture of Streptomyces sp. strains is used to inhibit the melanin production of melanoma cells and improve skin whitening effects.

IPC Classes  ?

• A61K 31/405 - Indole-alkanecarboxylic acidsDerivatives thereof, e.g. tryptophan, indomethacin
• A61P 17/00 - Drugs for dermatological disorders
• A61K 8/49 - Cosmetics or similar toiletry preparations characterised by the composition containing organic compounds containing heterocyclic compounds
• A61Q 19/02 - Preparations for care of the skin for chemically bleaching or whitening the skin
• C12P 17/10 - Nitrogen as only ring hetero atom
• A23L 33/10 - Modifying nutritive qualities of foodsDietetic productsPreparation or treatment thereof using additives

Abstract

The present invention relates to a single nucleotide polymorphism (SNP) marker for predicting preterm birth and, more specifically, to a preterm birth-specific single nucleotide polymorphism marker, a composition for predicting preterm birth comprising same, a kit or microarray comprising the composition, and a method for providing information for predicting possibility of preterm birth using the marker. The marker of the present invention can be used to accurately and objectively predict a patient having a possibility of preterm birth.

IPC Classes  ?

• C12Q 1/6883 - Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material

Abstract

The present invention relates to a composition for alleviating, preventing, or treating peritoneal fibrosis-related diseases, the composition containing tonsil-derived mesenchymal stem cells or a conditioned medium thereof. The tonsil-derived mesenchymal stem cells or the conditioned medium thereof according to the present invention are highly effective in inhibiting peritoneal EMT, and thus can be advantageously used for alleviating and treating peritoneal fibrosis.

IPC Classes  ?

• A61K 35/28 - Bone marrowHaematopoietic stem cellsMesenchymal stem cells of any origin, e.g. adipose-derived stem cells
• A61P 43/00 - Drugs for specific purposes, not provided for in groups
• A61P 7/08 - Plasma substitutesPerfusion solutionsDialytics or haemodialyticsDrugs for electrolytic or acid-base disorders, e.g. hypovolemic shock
• A61M 1/28 - Peritoneal dialysis

Abstract

The present invention relates to use of an aquaporin 4 inhibitor for treating atrial fibrillation.

IPC Classes  ?

• A61K 31/4439 - Non-condensed pyridinesHydrogenated derivatives thereof containing further heterocyclic ring systems containing a five-membered ring with nitrogen as a ring hetero atom, e.g. omeprazole
• A61P 9/06 - Antiarrhythmics
• A61P 9/04 - Inotropic agents, i.e. stimulants of cardiac contractionDrugs for heart failure

Abstract

The present invention relates to a brain-metastatic lung cancer cell line and a use of Noggin as a marker for brain metastasis of lung cancer. In the present invention, a brain metastatic lung cancer cell line with optimized characteristics for brain metastasis was established by repeatedly transplanting the lung cancer cell line through the carotid artery. In addition, in the brain metastatic lung cancer cell line, the expressions of Noggin protein and its mRNA are reduced, confirming that the motility and invasiveness of cells are reduced and adhesion increased. Therefore, the Noggin protein or its gene is expected to be useful as a biomarker for diagnosis of brain metastasis of lung cancer and its target therapy.

IPC Classes  ?

• A01K 67/0271 - Chimeric vertebrates, e.g. comprising exogenous cells
• A61K 38/17 - Peptides having more than 20 amino acidsGastrinsSomatostatinsMelanotropinsDerivatives thereof from animalsPeptides having more than 20 amino acidsGastrinsSomatostatinsMelanotropinsDerivatives thereof from humans
• A61K 48/00 - Medicinal preparations containing genetic material which is inserted into cells of the living body to treat genetic diseasesGene therapy
• C12Q 1/6886 - Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material for cancer
• G01N 33/574 - ImmunoassayBiospecific binding assayMaterials therefor for cancer

Abstract

Provided is a method of providing an artificial intelligence (AI)-based service without exposure of personal information, which includes receiving, by a client apparatus, a user query, performing, by the client apparatus, preprocessing on the user query to replace a target word corresponding to personal information in the user query with a corresponding replacement word, transmitting, by the client apparatus, the preprocessed user query to a service server for providing an AI-based service, and replacing, by the client apparatus, the replacement word in an answer corresponding to the user query that is received from the service server with the target word corresponding thereto.

IPC Classes  ?

• G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules

Abstract

A dry hydrogen production device includes: a reactor to which water or vapor is not supplied; heating means configured to heat the reactor to 200 to 800° C.; a supply line for hydroxide of at least one of alkali and alkali earth connected to the reactor; a biomass supply line connected to the reactor; at least one carrier gas supply line connected to the reactor; a gas phase reaction product outflow line connected to the reactor, a solid-gas separator connected to the gas phase reaction product outflow line; and a gas separator connected to the solid-gas separator.

IPC Classes  ?

• C01B 3/06 - Production of hydrogen or of gaseous mixtures containing hydrogen by reaction of inorganic compounds containing electro-positively bound hydrogen, e.g. water, acids, bases, ammonia, with inorganic reducing agents
• B01D 53/047 - Pressure swing adsorption
• B01J 8/00 - Chemical or physical processes in general, conducted in the presence of fluids and solid particlesApparatus for such processes
• B01J 8/18 - Chemical or physical processes in general, conducted in the presence of fluids and solid particlesApparatus for such processes with fluidised particles
• C01B 3/56 - Separation of hydrogen or hydrogen containing gases from gaseous mixtures, e.g. purification by contacting with solidsRegeneration of used solids
• C01D 7/07 - Preparation from the hydroxides

Abstract

The present invention relates to N-phenylbenzoxazolo-2-amine and N-phenyloxazolopyridin-2-amine derivatives as novel leukotriene B4 receptor inhibitors, and use thereof.

IPC Classes  ?

• C07D 263/58 - BenzoxazolesHydrogenated benzoxazoles with hetero atoms or with carbon atoms having three bonds to hetero atoms with at the most one bond to halogen, e.g. ester or nitrile radicals, directly attached in position 2
• A61K 31/423 - Oxazoles condensed with carbocyclic rings
• A61K 31/424 - Oxazoles condensed with heterocyclic ring systems, e.g. clavulanic acid
• C07C 335/18 - Derivatives of thiourea having nitrogen atoms of thiourea groups bound to carbon atoms of six-membered aromatic rings of a carbon skeleton being further substituted by singly-bound oxygen atoms
• C07D 213/75 - Amino or imino radicals, acylated by carboxylic or carbonic acids, or by sulfur or nitrogen analogues thereof, e.g. carbamates
• C07D 498/04 - Ortho-condensed systems

Abstract

Provided in an embodiment of the present invention is an endonuclease dynamics measurement device comprising: a reaction unit having at least one substrate which is connected to magnetic nanoparticles through one side, and which reacts with an endonuclease so as to cause a cleavage reaction; a sensor unit having at least one magnetic sensor connected through the other side of each substrate; and a dynamics measurement unit which receives, from the magnetic sensor, a magnetic signal corresponding to the result of the reaction between the substrate and the endonuclease, when the endonuclease is introduced into the reaction unit, and which generates the result of measurement of the cleavage dynamics of the substrate according to the endonuclease on the basis of the magnetic signal.

IPC Classes  ?

• G01N 33/557 - ImmunoassayBiospecific binding assayMaterials therefor using kinetic measurement, i.e. time rate of progress of an antigen-antibody interaction
• G01N 33/573 - ImmunoassayBiospecific binding assayMaterials therefor for enzymes or isoenzymes
• G01N 33/53 - ImmunoassayBiospecific binding assayMaterials therefor
• G01N 33/543 - ImmunoassayBiospecific binding assayMaterials therefor with an insoluble carrier for immobilising immunochemicals
• C12Q 1/44 - Measuring or testing processes involving enzymes, nucleic acids or microorganismsCompositions thereforProcesses of preparing such compositions involving hydrolase involving esterase

Abstract

A video decoding method is configured to reconstruct a current block that is encoded using an intra prediction. The method includes decoding, from a bitstream, direction information indicating a direction of differential coding applied to a residual block of the current block, generating the residual block from residual signals by reconstructing and using the information on the residual signals from the bitstream and using the direction information, inversely quantizing the modified residual block, generating a prediction block for the current block through intra prediction, and reconstructing the current block by adding the prediction block and the inverse quantized residual block.

IPC Classes  ?

• H04N 19/46 - Embedding additional information in the video signal during the compression process
• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/117 - Filters, e.g. for pre-processing or post-processing
• H04N 19/159 - Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/82 - Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation involving filtering within a prediction loop

Abstract

A video decoding method is configured to reconstruct a current block that is encoded using an intra prediction. The method includes decoding, from a bitstream, direction information indicating a direction of differential coding applied to a residual block of the current block, generating the residual block from residual signals by reconstructing and using the information on the residual signals from the bitstream and using the direction information, inversely quantizing the modified residual block, generating a prediction block for the current block through intra prediction, and reconstructing the current block by adding the prediction block and the inverse quantized residual block.

IPC Classes  ?

• H04N 19/46 - Embedding additional information in the video signal during the compression process
• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/117 - Filters, e.g. for pre-processing or post-processing
• H04N 19/159 - Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/82 - Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation involving filtering within a prediction loop

Abstract

A video decoding method is configured to reconstruct a current block that is encoded using an intra prediction. The method includes decoding, from a bitstream, direction information indicating a direction of differential coding applied to a residual block of the current block, generating the residual block from residual signals by reconstructing and using the information on the residual signals from the bitstream and using the direction information, inversely quantizing the modified residual block, generating a prediction block for the current block through intra prediction, and reconstructing the current block by adding the prediction block and the inverse quantized residual block.

IPC Classes  ?

• H04N 19/46 - Embedding additional information in the video signal during the compression process
• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/117 - Filters, e.g. for pre-processing or post-processing
• H04N 19/159 - Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/82 - Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation involving filtering within a prediction loop

Abstract

The present invention relates to a device for searching for a squash function and a method for same. The device for searching for a squash function according to an embodiment comprises: a data reception unit that receives at least one of a capsule network model, a target task, or a capsule network-related hyperparameter as input data; a function generation unit that generates a plurality of initial squash functions on the basis of the input data; a performance evaluation unit that uses a fitness function based on Kullback-Leibler divergence to evaluate the performance of the plurality of initial squash functions; and a function search unit that selects at least one candidate squash function among the plurality of initial squash functions on the basis of evaluation results for the plurality of initial squash functions, and generates a search result based on the selected candidate squash function.

IPC Classes  ?

• G06N 3/0985 - Hyperparameter optimisationMeta-learningLearning-to-learn
• G06N 3/04 - Architecture, e.g. interconnection topology
• G06F 17/18 - Complex mathematical operations for evaluating statistical data

Abstract

A video decoding method is configured to reconstruct a current block that is encoded using an intra prediction. The method includes decoding, from a bitstream, direction information indicating a direction of differential coding applied to a residual block of the current block, generating the residual block from residual signals by reconstructing and using the information on the residual signals from the bitstream and using the direction information, inversely quantizing the modified residual block, generating a prediction block for the current block through intra prediction, and reconstructing the current block by adding the prediction block and the inverse quantized residual block.

IPC Classes  ?

• H04N 19/46 - Embedding additional information in the video signal during the compression process
• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/117 - Filters, e.g. for pre-processing or post-processing
• H04N 19/159 - Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/82 - Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation involving filtering within a prediction loop

Abstract

According to one embodiment of the present disclosure, disclosed is a server for providing a model for predicting mortality and long-term occupancy of a post-surgery patient and an operation method thereof. The server comprises at least one processor for executing at least one instruction stored in a memory, wherein the at least one processor can obtain patient-related information including at least one of clinical information, surgery information, or blood test results of a patient, apply the obtained patient-related information to an artificial intelligence learning model for predicting mortality and long-term occupancy of a patient, and generate, using an ensemble learning model, result predicting at least one of mortality or long-term occupancy of the patient.

IPC Classes  ?

• G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
• G06N 20/20 - Ensemble learning

Abstract

The present disclosure relates to a pharmaceutical composition comprising chiral nanozyme and method of preventing or treating proliferative diseases using the same. A first nanozyme and/or a second nanozyme according to embodiments of the present disclosure has a chiral structure, and their enzymatic activity is maximized when circularly polarized light with the same directionality as the first nanozyme and/or the second nanozyme is irradiated.

IPC Classes  ?

• A61K 41/00 - Medicinal preparations obtained by treating materials with wave energy or particle radiation

Abstract

According to one embodiment of the present disclosure, provided is a method for analyzing a cognitive reserve value from a brain MRI image by utilizing a system including a cognitive reserve analysis device and a user terminal. A system for analyzing cognitive reserve can predict a subject's cognitive reserve value with high accuracy by using only a brain MRI image, and can take into consideration various factors that may affect the cognitive reserve value, thereby predicting the cognitive reserve value with higher accuracy.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
• G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
• G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS

Abstract

The present embodiment discloses a method for controlling neural network-based video coding tools according to allowable computation capability of a decoder side. In the present embodiment, an image decoding device decodes tool activation information indicating whether a neural network-based coding tool is activated, and determines, in terms of decoding, whether an appropriate computation amount required for performing computation related to the neural network-based coding tool is retained. The image decoding device configures a tool flag indicating whether to use the neural network-based coding tool, on the basis of the tool activation information and whether the appropriate computation amount is retained. If the tool flag is true, the image decoding device decodes parameters related to the neural network-based coding tool, and applies the neural network-based coding tool to a current frame on the basis of the decoded parameters.

IPC Classes  ?

• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards
• H04N 19/156 - Availability of hardware or computational resources, e.g. encoding based on power-saving criteria
• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/82 - Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation involving filtering within a prediction loop
• H04N 19/174 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a slice, e.g. a line of blocks or a group of blocks
• G06N 3/08 - Learning methods
• G06N 3/0442 - Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
• G06N 3/0455 - Auto-encoder networksEncoder-decoder networks
• G06N 3/0464 - Convolutional networks [CNN, ConvNet]
• G06T 5/00 - Image enhancement or restoration

Abstract

The present invention relates to a method for culturing skin-derived stem cells and uses of the same, particularly to a method for culturing skin-derived stem cells; skin-derived stem cells prepared by the method; and a pharmaceutical composition for skin regeneration or wound treatment; a quasi-drug composition; and a cosmetic composition, which contain the prepared skin-derived stem cells, a culture of the skin-derived stem cells, or cells differentiated from the skin-derived stem cells as an active ingredient. The present invention relates to a method for culturing skin-derived stem cells and uses of the same, particularly to a method for culturing skin-derived stem cells; skin-derived stem cells prepared by the method; and a pharmaceutical composition for skin regeneration or wound treatment; a quasi-drug composition; and a cosmetic composition, which contain the prepared skin-derived stem cells, a culture of the skin-derived stem cells, or cells differentiated from the skin-derived stem cells as an active ingredient. According to the culture method of the present invention, stem cells can be effectively isolated and obtained from skin tissue, and the obtained skin-derived stem cells have excellent pluripotency and self-replication ability as well as excellent skin regeneration and wound treatment effects and can be usefully utilized for skin regeneration and wound treatment or improvement.

IPC Classes  ?

• C12N 5/071 - Vertebrate cells or tissues, e.g. human cells or tissues
• A61K 35/36 - SkinHairNailsSebaceous glandsCerumenEpidermisEpithelial cellsKeratinocytesLangerhans cellsEctodermal cells
• A61P 17/02 - Drugs for dermatological disorders for treating wounds, ulcers, burns, scars, keloids, or the like
• C12M 1/00 - Apparatus for enzymology or microbiology
• C12N 5/00 - Undifferentiated human, animal or plant cells, e.g. cell linesTissuesCultivation or maintenance thereofCulture media therefor

Abstract

The present invention relates to a method for culturing hair follicle-derived stem cells and uses thereof, particularly to a method for culturing hair follicle-derived stem cells; hair follicle-derived stem cells prepared by the method; and a pharmaceutical composition for hair loss treatment or hair growth promotion; a quasi-drug composition; and a cosmetic composition, which contains the prepared hair follicle-derived stem cells, a culture of the hair follicle-derived stem cells, or cells differentiated from the hair follicle-derived stem cells as an active ingredient. The present invention relates to a method for culturing hair follicle-derived stem cells and uses thereof, particularly to a method for culturing hair follicle-derived stem cells; hair follicle-derived stem cells prepared by the method; and a pharmaceutical composition for hair loss treatment or hair growth promotion; a quasi-drug composition; and a cosmetic composition, which contains the prepared hair follicle-derived stem cells, a culture of the hair follicle-derived stem cells, or cells differentiated from the hair follicle-derived stem cells as an active ingredient. According to the culture method of the present invention, stem cells can be effectively isolated and obtained from hair follicle tissue, and the obtained hair follicle-derived stem cells have excellent pluripotency and self-replication ability as well as excellent hair loss treatment and hair growth promotion effects and can be usefully utilized for hair loss improvement, prevention, or treatment.

IPC Classes  ?

• C12N 5/071 - Vertebrate cells or tissues, e.g. human cells or tissues
• A61K 35/36 - SkinHairNailsSebaceous glandsCerumenEpidermisEpithelial cellsKeratinocytesLangerhans cellsEctodermal cells
• A61P 17/14 - Drugs for dermatological disorders for baldness or alopecia
• C12N 5/00 - Undifferentiated human, animal or plant cells, e.g. cell linesTissuesCultivation or maintenance thereofCulture media therefor

Abstract

The present application relates to a near-infrared ray absorption and emission complex comprising a carbazole-based donor and an acceptor.

IPC Classes  ?

• C09K 11/06 - Luminescent, e.g. electroluminescent, chemiluminescent, materials containing organic luminescent materials
• H10K 85/60 - Organic compounds having low molecular weight

Abstract

This optical scanning device comprises: a substrate; a first cantilever connected to the substrate; a first piezoelectric element disposed on the first cantilever, wherein the first piezoelectric element includes a driving element, which is disposed on the first cantilever and to which voltage is applied, and a sensing element, which is disposed on the first cantilever and generates voltage; a second cantilever connected to the substrate so as to be opposite to the first cantilever; a second piezoelectric element disposed on the second cantilever; a connector connecting the first cantilever to the second cantilever; a reflector for reflecting light; and an elastic body connecting the connector to the reflector.

IPC Classes  ?

• G02B 26/08 - Optical devices or arrangements for the control of light using movable or deformable optical elements for controlling the direction of light
• G01S 7/481 - Constructional features, e.g. arrangements of optical elements
• H10N 30/87 - Electrodes or interconnections, e.g. leads or terminals

Abstract

The present application relates to a chiral supramolecular high-order structure based on co-assembly of a star-shaped block copolymer and a chiral additive and post-treatment, and a manufacturing method thereof. A chiral supramolecular high-order structure according to embodiments of the present application is formed through co-assembly of an achiral star-shaped block copolymer and a chiral additive, wherein the achiral star-shaped block copolymer is capable of multiple hydrogen bonds with the chiral additive, and can provide a unimolecular micelle environment linked by covalent bonds. Therefore, the chiral supramolecular high-order structure of the present application has a remarkably high yield rate compared to a chiral molecular structure comprising a conventional linear block copolymer, has a distinct helical direction of the supramolecular structure transferred from the molecular chirality, and has an asymmetric factor level of 0.038, so that strong supramolecular chirality occurs in a wide wavelength range of ultraviolet to visible light.

IPC Classes  ?

• C08G 83/00 - Macromolecular compounds not provided for in groups
• C08F 293/00 - Macromolecular compounds obtained by polymerisation on to a macromolecule having groups capable of inducing the formation of new polymer chains bound exclusively at one or both ends of the starting macromolecule
• C08L 53/00 - Compositions of block copolymers containing at least one sequence of a polymer obtained by reactions only involving carbon-to-carbon unsaturated bondsCompositions of derivatives of such polymers
• C08K 5/00 - Use of organic ingredients

Abstract

A compound represented by Chemical Formula 1, an organic electronic component or a light-emitting layer including same, an OLED including the light-emitting layer, and a device comprising the OLED are provided: A compound represented by Chemical Formula 1, an organic electronic component or a light-emitting layer including same, an OLED including the light-emitting layer, and a device comprising the OLED are provided: wherein in Chemical Formula 1, R1 to R4, n1 and n2, and X1 to X9 are the same as defined in the specification.

IPC Classes  ?

• C09K 11/06 - Luminescent, e.g. electroluminescent, chemiluminescent, materials containing organic luminescent materials
• H10K 50/11 - OLEDs or polymer light-emitting diodes [PLED] characterised by the electroluminescent [EL] layers
• H10K 85/30 - Coordination compounds

Abstract

This method for generating a fingerprint map for an unexplored region having an obstacle comprises steps in which a data processing device: receives, in a service area, the positions of reference points, the positions of a plurality of access points (APs), and the position of an obstacle; inputs the position of each of the APs into a pre-trained first learning model so as to generate a signal strength for each of the APs in the service area; inputs, for each of the APs, a distance and a failure level in the service area into a pre-trained second learning model so as to generate a signal strength correction value; and generates a fingerprint map for the service area by applying the signal strength correction value to the signal strength generated by the first learning model for each of the APs.

IPC Classes  ?

• G01S 5/02 - Position-fixing by co-ordinating two or more direction or position-line determinationsPosition-fixing by co-ordinating two or more distance determinations using radio waves
• G06N 3/094 - Adversarial learning

Abstract

The present invention relates to an apparatus comprising a carbon fiber sheet-based planar heating element for promoting LDL cholesterol absorption by reducing expression of PCSK9. The apparatus has an excellent effect of promoting the absorption of LDL cholesterol in cells and can inhibit the expression of PCSK9, and thus is advantageously applicable for preventing or alleviating diseases such as hyperlipidemia, dyslipidemia, atherosclerosis, cardiovascular diseases, or hypercholesterolemia.

IPC Classes  ?

• A61N 5/06 - Radiation therapy using light
• A61F 7/08 - Warming pads, pans or matsHot-water bottles
• A61F 7/00 - Heating or cooling appliances for medical or therapeutic treatment of the human body

Abstract

Disclosed is a method for video encoding and decoding using adaptive color transform on a residual signal. In particular, the maximum memory size required for adaptive color transform is limited by: controlling whether to allow color space conversion on a sequence level according to a syntax element indicating the maximum conversion size allowed for a sequence of pictures; or controlling whether to apply color space conversion on a block level according to the size of a coding block.

IPC Classes  ?

• H04N 19/46 - Embedding additional information in the video signal during the compression process
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/186 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a colour or a chrominance component
• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards

Abstract

Disclosed is a method for video encoding and decod-ing using adaptive color transform on a residual signal. In particular, the maximum memory size required for adaptive color transform is limited by: controlling whether to allow color space conversion on a sequence level according to a syntax element indicating the maximum conversion size allowed for a sequence of pictures; or controlling whether to apply color space conversion on a block level according to the size of a coding block.

IPC Classes  ?

• H04N 19/46 - Embedding additional information in the video signal during the compression process
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/186 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a colour or a chrominance component
• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards

Abstract

Disclosed is a method for video encoding and decoding using adaptive color transform on a residual signal. In particular, the maximum memory size required for adaptive color transform is limited by: controlling whether to allow color space conversion on a sequence level according to a syntax element indicating the maximum conversion size allowed for a sequence of pictures; or controlling whether to apply color space conversion on a block level according to the size of a coding block.

IPC Classes  ?

• H04N 19/46 - Embedding additional information in the video signal during the compression process
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/186 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a colour or a chrominance component
• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards

Abstract

Disclosed is a method for video encoding and decod-ing using adaptive color transform on a residual signal. In particular, the maximum memory size required for adaptive color transform is limited by: controlling whether to allow color space conversion on a sequence level according to a syntax element indicating the maximum conversion size allowed for a sequence of pictures; or controlling whether to apply color space conversion on a block level according to the size of a coding block.

IPC Classes  ?

• H04N 19/46 - Embedding additional information in the video signal during the compression process
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/186 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a colour or a chrominance component
• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards

Abstract

This method for lightening an autoencoder on the basis of mutual information amount comprises steps in which a lightening apparatus: receives an autoencoder; selects, from among layers of the autoencoder, a layer to be pruned; calculates, on the basis of a mutual information amount, the importance of links connected to the layer to be pruned; removes a link having low importance from among the links connected to the layer to be pruned, and prunes same; and finely adjusts the pruned autoencoder.

IPC Classes  ?

• G06N 3/082 - Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
• G06N 3/0455 - Auto-encoder networksEncoder-decoder networks
• G06N 3/088 - Non-supervised learning, e.g. competitive learning

Abstract

LvaEDPseudomonasLvaEDRalstoniaRalstonia.

IPC Classes  ?

• C12N 15/74 - Vectors or expression systems specially adapted for prokaryotic hosts other than E. coli, e.g. Lactobacillus, Micromonospora
• C12P 7/625 - Polyesters of hydroxy carboxylic acids
• C12N 9/00 - Enzymes, e.g. ligases (6.)ProenzymesCompositions thereofProcesses for preparing, activating, inhibiting, separating, or purifying enzymes
• C12N 9/04 - Oxidoreductases (1.), e.g. luciferase acting on CHOH groups as donors, e.g. glucose oxidase, lactate dehydrogenase (1.1)

Abstract

RalstoniaRalstonia is introduced into the microorganism.

IPC Classes  ?

• C12N 15/70 - Vectors or expression systems specially adapted for E. coli
• C12P 7/625 - Polyesters of hydroxy carboxylic acids
• C12N 9/00 - Enzymes, e.g. ligases (6.)ProenzymesCompositions thereofProcesses for preparing, activating, inhibiting, separating, or purifying enzymes
• C12N 9/04 - Oxidoreductases (1.), e.g. luciferase acting on CHOH groups as donors, e.g. glucose oxidase, lactate dehydrogenase (1.1)

Abstract

An electronic device to which a machine learning ensemble model is applicable, according to an exemplary embodiment of the present disclosure, may comprise: a first model neural-network-trained on the basis of training images; a second model trained on the basis of training test data; a third model using voting based on a plurality of statistical methodologies so as to output the infection probability of malaria infection; and a processor, which inputs, into the first model, a blood image to be tested, uses the first model to make a primary determination of malaria infection about the blood image, inputs, into the second model, blood data to be tested, uses the second model to make a secondary determination of malaria infection about the blood data, and uses the third model to output the malaria infection probability.

IPC Classes  ?

• G16H 50/80 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
• G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
• G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
• G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
• G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
• G06N 20/20 - Ensemble learning
• G06T 7/00 - Image analysis
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons

Abstract

A method and an apparatus are disclosed for video using adaptive multiple transform selection. In the disclosed embodiments, a video decoding device obtains a multiple-transform-selection index and inverse-quantized residual signals of the current block from a bitstream. The video decoding device composes a plurality of multiple-transform-selection groups for the current block, and selects a multiple-transform-selection group from the multiple-transform-selection groups. The video decoding device derives a transform kernel from the multiple-transform-selection group by using the multiple-transform-selection index. The video decoding device generates inverse-transformed residual signals by inversely transforming the inverse-quantized residual signals by using the derived transform kernel.

IPC Classes  ?

• H04N 19/12 - Selection from among a plurality of transforms or standards, e.g. selection between discrete cosine transform [DCT] and sub-band transform or selection between H.263 and H.264
• H04N 19/124 - Quantisation
• H04N 19/159 - Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/60 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding

Abstract

The present application relates to a separator coating material, comprising a conductive metal-organic framework, for a lithium-sulfur secondary battery, and a separator and a lithium-sulfur secondary battery comprising same. The lithium-sulfur secondary battery of the present application has excellent battery performance and lifespan characteristics by preventing a shuttle phenomenon of a polysulfide through the lithium polysulfide adsorption ability of the separator for a secondary battery.

IPC Classes  ?

• H01M 50/411 - Organic material
• H01M 10/052 - Li-accumulators

Abstract

The present invention relates to a composition for detecting senescent tonsil-derived mesenchymal stem cells, and a use thereof. By using a marker according to the present invention, cellular senescence of tonsil-derived mesenchymal stem cells may be accurately detected. In addition, by treating cells or a culture medium with the composition according to the present invention, senescence of tonsil-derived mesenchymal stem cells may be inhibited and the multipotency thereof may be maintained, even throughout a long culture period, and thus tonsil-derived mesenchymal stem cells cultured as such may be usefully employed as a therapeutic application resource or a therapeutic resource in the field of regenerative medicine.

IPC Classes  ?

• G01N 33/569 - ImmunoassayBiospecific binding assayMaterials therefor for microorganisms, e.g. protozoa, bacteria, viruses
• G01N 33/53 - ImmunoassayBiospecific binding assayMaterials therefor
• G01N 33/50 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing

Abstract

Disclosed are a method and device for multi-view video coding based on implicit neural representation according to the present embodiment. According to the present embodiment, an image decoding device decodes parameters of a multi-view INRVC model and an INRVC parameter set (IPS) from a bitstream. Here, the IPS includes a quantization parameter and information about the structure of the multi-view INRVC model. The image decoding device uses the parameters of the multi-view INRVC model and the quantization parameter to reconstruct the multi-view INRVC model so that the multi-view INRVC model accords with the information about the structure of the multi-view INRVC model. The image decoding device acquires the current viewpoint, inputs the current viewpoint into the multi-view INRVC model, and generates a video from the current viewpoint on the basis of a 4D grid and camera parameters.

IPC Classes  ?

• G06N 3/0464 - Convolutional networks [CNN, ConvNet]
• G06N 3/0495 - Quantised networksSparse networksCompressed networks
• G06N 3/082 - Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
• G06N 3/045 - Combinations of networks
• H04N 19/597 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding specially adapted for multi-view video sequence encoding
• G06T 9/00 - Image coding

Abstract

A method and an apparatus for video coding using a super-resolution in-loop filter utilize an in-loop filter based on upsampling or super-resolution techniques in processing a video signal through downsampling to the compression and upsampling to the reconstruction thereof. The video decoding method includes obtaining the reconstructed frame, obtaining a scale value representing a resolution difference between the reconstructed frame and the original frame, generating, based on the scale value, an upsampled reconstructed frame by inputting the reconstructed frame into a resampling in-loop filter that is deep learning-based, and storing an output frame as a reference frame once generated by the plurality of filters and the resampling in-loop filter in a decoded picture buffer (DPB).

IPC Classes  ?

• H04N 19/82 - Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation involving filtering within a prediction loop
• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/109 - Selection of coding mode or of prediction mode among a plurality of temporal predictive coding modes
• H04N 19/117 - Filters, e.g. for pre-processing or post-processing
• H04N 19/132 - Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking
• H04N 19/147 - Data rate or code amount at the encoder output according to rate distortion criteria
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/30 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using hierarchical techniques, e.g. scalability
• H04N 19/42 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation
• H04N 19/503 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction

Abstract

A method of video decoding device for inter-predicting a current block can include decoding motion information of the current block from a bitstream, the motion information including reference pictures that are in a bi-direction manner, and motion vectors that are in the bi-direction manner, generating prediction blocks that are in the bi-direction manner by using the motion information, the prediction blocks include a first prediction block that is located inside a corresponding first reference picture, and a second prediction block that is a remnant of the first prediction block, the second prediction block includes an inner region located inside a second reference picture that is relevant, and an outer region located outside the second reference picture, setting weights for the prediction blocks that are in the bi-direction manner; and generating a final prediction block of the current block by weighted-summing the prediction blocks by using the weights.

IPC Classes  ?

• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/139 - Analysis of motion vectors, e.g. their magnitude, direction, variance or reliability
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/52 - Processing of motion vectors by encoding by predictive encoding

Abstract

The present invention relates to a blood-based cognitive ability evaluation method comprising the steps of: acquiring actual test data including actual blood test results and cognitive function test results of subjects; determining, on the basis of the actual test data, a major cognitive function item of the cognitive function test related to whether the subjects belong to a first group; generating augmented test data on the basis of the acquired actual test data; predicting whether pieces of individual data of the augmented test data belong to the first group by using a classification algorithm; classifying the pieces of individual data of the augmented test data and the actual test data into one of the first group and a second group; and extracting one or more major blood factors associated with the first group for each major cognitive function item, on the basis of the classified actual test data and augmented test data.

IPC Classes  ?

• G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G16H 10/40 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
• G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
• G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• G16H 10/20 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
• G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders

Abstract

The present invention relates to a method for classifying fine dust exposure and predicting pregnancy-related complications caused by fine dust exposure. The method of the present invention is used for the classification of fine dust exposure and the prediction of pregnancy-related complications caused by fine dust exposure, which are based on biochemical markers, and thus is advantageous in that an appropriate prevention or intervention plan for chronic diseases and children's respiratory diseases caused by fine dust exposure can be constructed or, especially, pregnancy-related complications such as a low-birth-weight infant, premature birth and gestational diabetes, which are difficult to identify until birth or onset, can be quickly predicted with high accuracy.

IPC Classes  ?

• G01N 33/50 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing

Abstract

A video decoding method, a video encoding method, and a method for transmitting a bitstream containing encoded video data are disclosed. The methods are configured to: determine first and second reference pictures and first and second motion vectors for bi-prediction by decoding a bitstream; generate a first reference block from the first reference picture referenced by the first motion vector and generate a second reference block from the second reference picture referenced by the second motion vector; and generate a prediction block of the target block using the first and second reference blocks. The methods are also configured to generate the prediction block for a subblock of size 4×4 split from the target block by performing a bi-directional optical flow process using the first and second reference blocks.

IPC Classes  ?

• H04N 19/577 - Motion compensation with bidirectional frame interpolation, i.e. using B-pictures
• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/139 - Analysis of motion vectors, e.g. their magnitude, direction, variance or reliability
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock

Abstract

A video decoding method, a video encoding method, and a method of transmitting a bitstream containing encoded video data are disclosed. The methods include determining first and second reference pictures and first and second motion vectors for bi-prediction by decoding a bitstream; generating a first reference block from the first reference picture referenced by the first motion vector and generating a second reference block from the second reference picture referenced by the second motion vector; and generating a prediction block of the target block using the first and second reference blocks. The methods also include generating a residual block of the target block and reconstructing the target block based on the prediction block of the target block and the residual block of the target block.

IPC Classes  ?

• H04N 19/577 - Motion compensation with bidirectional frame interpolation, i.e. using B-pictures
• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/139 - Analysis of motion vectors, e.g. their magnitude, direction, variance or reliability
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock

Abstract

A method and an apparatus are disclosed for video using an in-loop filter based on Transformer. The video coding method and the apparatus apply a current video block to an attention module of a Transformer, which is a deep learning model. The video coding method and the apparatus utilize the resultant Transformer-based in-loop filter.

IPC Classes  ?

• H04N 19/154 - Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
• H04N 19/119 - Adaptive subdivision aspects e.g. subdivision of a picture into rectangular or non-rectangular coding blocks
• H04N 19/172 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a picture, frame or field
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/42 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation
• H04N 19/60 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
• H04N 19/80 - Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation

Abstract

The present embodiment discloses a video coding method and apparatus using non-linear modeling-based template matching prediction. In the present embodiment, an image decoding apparatus searches for a reference block on the basis of a block vector of the current block or template matching between templates of blocks within a search area and a template of the current block, and determines a prediction block of the current block by means of the found reference block. The image decoding apparatus acquires the form of a filter of the current block, wherein the form of the filter is a cross-component discrete mapping model or a cross-component non-linear filter. The image decoding apparatus calculates coefficients of the filter by using the reference block and applies filtering to the prediction block by using the calculated filter.

IPC Classes  ?

• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/117 - Filters, e.g. for pre-processing or post-processing
• H04N 19/593 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial prediction techniques
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/186 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a colour or a chrominance component
• H04N 19/139 - Analysis of motion vectors, e.g. their magnitude, direction, variance or reliability
• H04N 19/157 - Assigned coding mode, i.e. the coding mode being predefined or preselected to be further used for selection of another element or parameter
• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards
• H04N 19/132 - Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking

Abstract

The present embodiment discloses a 3D video coding method and apparatus based on an implicit neural network representation. In the present embodiment, an image decoding apparatus decodes, from a bitstream, parameters of a 3D INVR model, and an IPS. Here, the IPS includes a quantization parameter, information regarding a structure of the 3D INVR model, and information regarding the input range of the 3D INVR model. The image decoding apparatus reconstructs the 3D INVR model so as to match the information regarding the structure of the 3D INVR model by using the parameters of the 3D INVR model and the quantization parameter. The image decoding apparatus generates the current 3D video by acquiring a random view point within the input range and inputting the random view point into the 3D INVR model.

IPC Classes  ?

• G06T 9/00 - Image coding
• G06T 3/18 - Image warping, e.g. rearranging pixels individually
• G06N 3/0499 - Feedforward networks
• G06N 3/0464 - Convolutional networks [CNN, ConvNet]
• G06N 3/045 - Combinations of networks
• G06N 3/082 - Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
• G06N 3/084 - Backpropagation, e.g. using gradient descent
• G06N 3/0985 - Hyperparameter optimisationMeta-learningLearning-to-learn
• H04N 19/597 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding specially adapted for multi-view video sequence encoding

Abstract

A video decoding apparatus, a video encoding apparatus, and an apparatus for transmitting a bitstream containing encoded video data are disclosed. The apparatuses are configured to: determine first and second reference pictures and first and second motion vectors for bi-prediction by decoding a bitstream; generate a first reference block from the first reference picture referenced by the first motion vector and generate a second reference block from the second reference picture referenced by the second motion vector; generate a prediction block of the target block using the first and second reference blocks; generate a residual block based on the prediction block of the target block; and encode the residual block. The apparatuses are configured to generate the prediction block of the target block by performing a bi-directional optical flow process using the first and second reference blocks.

IPC Classes  ?

• H04N 19/577 - Motion compensation with bidirectional frame interpolation, i.e. using B-pictures
• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/139 - Analysis of motion vectors, e.g. their magnitude, direction, variance or reliability
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock

Abstract

A video encoding method, video decoding method, and an apparatus are disclosed. The methods and the apparatus are configured to: determine first and second reference pictures and first and second motion vectors for bi-prediction by decoding a bitstream; generate a first reference block from the first reference picture referenced by the first motion vector and generate a second reference block from the second reference picture referenced by the second motion vector; and generate a prediction block of the target block using the first and second reference blocks. The predictor includes a first coding tool configured to generate the prediction block of the target block by performing a bi-directional optical flow process using the first and second reference blocks.

IPC Classes  ?

• H04N 19/577 - Motion compensation with bidirectional frame interpolation, i.e. using B-pictures
• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/139 - Analysis of motion vectors, e.g. their magnitude, direction, variance or reliability
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock

Abstract

As a cancer targeting complex according to the present invention, immediately binds to albumin, when administered in vivo, and exists in a stable and inactive state, the cancer targeting complex may provide enhanced cancer treatment, prevention, and amelioration effects specific to cancer tissue without exhibiting toxicity to normal tissue.

IPC Classes  ?

• A61K 47/54 - Medicinal preparations characterised by the non-active ingredients used, e.g. carriers or inert additivesTargeting or modifying agents chemically bound to the active ingredient the non-active ingredient being chemically bound to the active ingredient, e.g. polymer-drug conjugates the non-active ingredient being a modifying agent the modifying agent being an organic compound
• A61K 47/55 - Medicinal preparations characterised by the non-active ingredients used, e.g. carriers or inert additivesTargeting or modifying agents chemically bound to the active ingredient the non-active ingredient being chemically bound to the active ingredient, e.g. polymer-drug conjugates the non-active ingredient being a modifying agent the modifying agent being an organic compound the modifying agent being also a pharmacologically or therapeutically active agent, i.e. the entire conjugate being a codrug, i.e. a dimer, oligomer or polymer of pharmacologically or therapeutically active compounds
• A61K 31/551 - Heterocyclic compounds having nitrogen as a ring hetero atom, e.g. guanethidine or rifamycins having seven-membered rings, e.g. azelastine, pentylenetetrazole having two nitrogens as ring hetero atoms, e.g. clozapine, dilazep
• A61P 35/00 - Antineoplastic agents
• C07D 495/14 - Ortho-condensed systems
• A23L 33/10 - Modifying nutritive qualities of foodsDietetic productsPreparation or treatment thereof using additives

Abstract

The present embodiment provides a video coding method and device using an implicit neural representation model based on temporal dependency. In the embodiment, an image decoding device configures an input of an implicit neural representation for video coding (INRVC) model including the current time index of the current image and acquires the INRVC model. Here, the INRVC model includes a multi-layer perceptron and an upscaling module. The image decoding device applies the input to the multi-layer perceptron and generates a multi-layer perceptron output. The image decoding device uses a previous output, corresponding to a previous time index, of the INRVC model and predicts motion information about motion between the current image and the previous output, and inputs a combination of the multi-layer perceptron output and the motion information to the upscaling module, thereby generating the current output corresponding to the current time index.

IPC Classes  ?

• H04N 19/513 - Processing of motion vectors
• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• G06T 3/4046 - Scaling of whole images or parts thereof, e.g. expanding or contracting using neural networks
• G06T 5/60 - Image enhancement or restoration using machine learning, e.g. neural networks
• G06N 3/0464 - Convolutional networks [CNN, ConvNet]
• G06N 3/048 - Activation functions
• H04N 19/52 - Processing of motion vectors by encoding by predictive encoding
• H04N 19/82 - Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation involving filtering within a prediction loop

Abstract

Provided are a video encoding/decoding method and apparatus. The video decoding method according to the present disclosure includes the steps of: acquiring first information indicating whether to perform prediction of a chroma block on the basis of template matching; determining one or more block vectors for the chroma block by using one or more block vectors for one or more luma blocks when the first information indicates that the prediction of the chroma block is to be performed on the basis of template matching; determining one or more search areas by using the one or more block vectors for the chroma block; calculating one or more variable values by performing template matching between a template of the chroma block and the one or more search areas and determining one or more reference blocks based on one or more variable values; generating a prediction list of the chroma block by using one or more template costs and the one or more reference blocks; arranging the prediction list of the chroma block by using the one or more variable values; and generating a prediction block of the chroma block by using one or more first reference blocks in the prediction list of the chroma block.

IPC Classes  ?

• H04N 19/186 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a colour or a chrominance component
• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/593 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial prediction techniques
• H04N 19/132 - Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking
• H04N 19/137 - Motion inside a coding unit, e.g. average field, frame or block difference
• H04N 19/157 - Assigned coding mode, i.e. the coding mode being predefined or preselected to be further used for selection of another element or parameter
• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards

Abstract

This method for generating a fingerprint map for an unexplored region comprises steps in which a data processing apparatus: receives the positions of reference points and the positions of a plurality of access points (APs) in a service area; extracts, for each of the APs, a feature vector with respect to the position of a reference point and the position of an AP; inputs, as a condition, a feature vector extracted for a corresponding AP into a generative model pre-trained for each of the APs, and inputs random noise so as to generate a fingerprint map for each of the APs; and generates a final fingerprint map for the service area by combining the fingerprint maps generated for the APs.

IPC Classes  ?

• G01S 5/02 - Position-fixing by co-ordinating two or more direction or position-line determinationsPosition-fixing by co-ordinating two or more distance determinations using radio waves
• G06N 3/094 - Adversarial learning

Abstract

Provided is a method by which an electronic device provides sleep-inducing music to a user. The method may comprise the steps of: acquiring a biosignal of a user; identifying the current sleeping state of the user on the basis of the acquired biosignal; generating sleep-inducing music on the basis of the current sleeping state of the user; and providing the generated sleep-inducing music to the user.

IPC Classes  ?

• G16H 20/70 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
• A61M 21/02 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G16H 40/60 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61M 21/00 - Other devices or methods to cause a change in the state of consciousnessDevices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis

Abstract

A method, a data processing apparatus, and a positioning apparatus for generating a fingerprint map for an unexplored area are proposed. The method includes receiving, by a data processing apparatus, locations of reference points and locations of a plurality of access points (APs) for a service area, extracting, by the data processing apparatus, feature vectors for each AP on a basis of the locations of the reference points and the locations of the APs, generating, by the data processing apparatus, a fingerprint map for each of the APs by inputting, as conditions, the feature vectors extracted for each corresponding AP into a previously trained generative model for each of the APs and inputting random noise, and generating, by the data processing apparatus, a final fingerprint map for the service area by combining the fingerprint maps generated for the APs.

IPC Classes  ?

• G01S 5/02 - Position-fixing by co-ordinating two or more direction or position-line determinationsPosition-fixing by co-ordinating two or more distance determinations using radio waves
• H04W 64/00 - Locating users or terminals for network management purposes, e.g. mobility management

Abstract

The present invention relates to a pharmaceutical composition comprising Prdx3 peptide or an analog thereof as an active ingredient for the prevention or treatment of mitochondria-related diseases, and a use thereof. The pharmaceutical composition comprising Prdx3 peptide or an analog thereof as an active ingredient can be used for the prevention and treatment of mitochondria-related diseases through the removal of mitophagy and the elimination of alpha-synuclein aggregates.

IPC Classes  ?

• A61K 38/44 - Oxidoreductases (1)
• A61P 9/00 - Drugs for disorders of the cardiovascular system
• A61P 35/00 - Antineoplastic agents
• A61P 25/28 - Drugs for disorders of the nervous system for treating neurodegenerative disorders of the central nervous system, e.g. nootropic agents, cognition enhancers, drugs for treating Alzheimer's disease or other forms of dementia
• A23L 33/18 - PeptidesProtein hydrolysates

Abstract

A method is disclosed for modifying a decoder-side motion vector list in inter prediction. A video coding method and an apparatus use a template matching method or a bilateral matching (BM) method in a merge mode and an advanced motion vector prediction (AMVP) mode of inter prediction. The video coding method and the apparatus perform at least one of adding, pruning, or reordering candidates with respect to a motion vector list at the decoder side.

IPC Classes  ?

• H04N 19/192 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the adaptation method, adaptation tool or adaptation type used for the adaptive coding the adaptation method, adaptation tool or adaptation type being iterative or recursive
• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/159 - Prediction type, e.g. intra-frame, inter-frame or bidirectional frame prediction
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock

Abstract

This method for augmenting global features of input data in a deep-learning model comprises steps in which: a data processing apparatus: divides a feature tensor that is input in patch units of a predetermined size into a plurality of patches; constructs a graph in which each of the plurality of patches corresponds to a node; performs graph attention for reflecting relative importance between nodes belonging to the constructed graph; and transfers, to the next layer, the feature tensor including patches updated by performing the graph attention.

IPC Classes  ?

• G06N 3/0464 - Convolutional networks [CNN, ConvNet]
• G06N 3/047 - Probabilistic or stochastic networks
• G06N 3/0495 - Quantised networksSparse networksCompressed networks
• G06N 3/08 - Learning methods
• G06F 17/16 - Matrix or vector computation

Abstract

The present invention provides a separator for an electrochemical device, the separator including: a porous polymer substrate; and a porous coating layer formed on at least one surface of the porous polymer substrate and including first metal-organic framework (MOF) particles modified with polyimide, second MOF particles, and a polymer binder, wherein at least one type of the first and second MOF particles includes zirconium and has amine groups introduced thereinto.

IPC Classes  ?

• H01M 50/446 - Composite material consisting of a mixture of organic and inorganic materials
• H01M 50/449 - Separators, membranes or diaphragms characterised by the material having a layered structure
• H01M 50/431 - Inorganic material
• H01M 50/411 - Organic material
• H01M 10/052 - Li-accumulators

Abstract

An electronic device for prefetching data by predicting a memory address, and a method for operating same, are illustrated. A method for operating an electronic device according to an embodiment of the present disclosure may comprise the steps of: sampling prior demand memory addresses included in a prior demand memory request; generating a prefetch memory request on the basis of a stride between the sampled prior demand memory addresses; transmitting, to a preloader, a prefetch memory response according to the prefetch memory request; and storing, in a preloader cache, prefetch data included in the prefetch memory response and a prefetch memory address corresponding to the prefetch data.

IPC Classes  ?

• G06F 12/0862 - Addressing of a memory level in which the access to the desired data or data block requires associative addressing means, e.g. caches with prefetch
• G06F 3/06 - Digital input from, or digital output to, record carriers

Abstract

Disclosed in the present embodiment are a video coding method and device utilizing a template matching prediction method based on intra mode information. In the present embodiment, a video decoding device searches for a matching block on the basis of template matching between templates of reference blocks in a search area and a template of a current block, and determines a prediction block of the current block using the retrieved matching block. The video decoding device decodes a template matching filter flag indicating whether to apply filtering to the prediction block according to the template matching. When the template matching filter flag is checked and is true, the video decoding device determines the form of a filter using intra mode information of the current block, and applies filtering to the prediction block using the determined filter.

IPC Classes  ?

• H04N 19/117 - Filters, e.g. for pre-processing or post-processing
• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/11 - Selection of coding mode or of prediction mode among a plurality of spatial predictive coding modes
• H04N 19/593 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial prediction techniques
• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/196 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the adaptation method, adaptation tool or adaptation type used for the adaptive coding being specially adapted for the computation of encoding parameters, e.g. by averaging previously computed encoding parameters
• H04N 19/132 - Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking

Abstract

An antibody binds to CD154. The antibody includes HCDR, which includes amino acid sequences of SEQ ID NOs: 1 to 3, and LCDR which includes amino acid sequences of SEQ ID NOs: 4 to 6. A composition including an antibody-drug conjugate in which a drug is conjugated to the antibody may prevent or treat a T cell-mediated autoimmune disease and/or organ transplant rejection.

IPC Classes  ?

• C07K 16/28 - Immunoglobulins, e.g. monoclonal or polyclonal antibodies against material from animals or humans against receptors, cell surface antigens or cell surface determinants
• A61K 47/68 - Medicinal preparations characterised by the non-active ingredients used, e.g. carriers or inert additivesTargeting or modifying agents chemically bound to the active ingredient the non-active ingredient being chemically bound to the active ingredient, e.g. polymer-drug conjugates the non-active ingredient being a modifying agent the modifying agent being an antibody, an immunoglobulin or a fragment thereof, e.g. an Fc-fragment

Abstract

A thermometer enclosure, a sealing device, a sealing device-thermometer enclosure assembly, and a pressure cell are disclosed. The disclosed sealing device may include a base portion and a pressing portion integrally formed with each other, wherein the base portion and the pressing portion are disposed side by side in a first direction, a length of the pressing portion in a second direction perpendicular to the first direction is less than a corresponding length of the base portion, and a central hole passing through the base portion and the pressing portion in the first direction is formed in the base portion and the pressing portion.

IPC Classes  ?

• G01D 11/26 - WindowsCover glassesSealings therefor
• G01D 11/24 - Housings
• G01D 21/00 - Measuring or testing not otherwise provided for
• G01K 1/08 - Protective devices, e.g. casings
• G01L 19/14 - Housings
• G01K 1/14 - SupportsFastening devicesArrangements for mounting thermometers in particular locations
• G01K 7/18 - Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat using resistive elements the element being a linear resistance, e.g. platinum resistance thermometer
• G01K 13/00 - Thermometers specially adapted for specific purposes
• G01K 13/12 - Thermometers specially adapted for specific purposes combined with sampling devices for measuring temperatures of samples of material

Abstract

Corynebacterium glutamicumCorynebacterium glutamicum strain for producing 1,5-pentanediol from glucose, and use thereof. Specifically, the recombinant strain according to the present invention has excellent production efficiency and production capability for 1,5-pentanediol and excellent production capability for 5-hydroxyvalerate, which is a key precursor for 1,5-pentanediol production. In addition, by-products are not generated during production, and thus the problem of low yield due to side-reaction products can be solved.

IPC Classes  ?

• C12N 15/77 - Vectors or expression systems specially adapted for prokaryotic hosts other than E. coli, e.g. Lactobacillus, Micromonospora for CorynebacteriumVectors or expression systems specially adapted for prokaryotic hosts other than E. coli, e.g. Lactobacillus, Micromonospora for Brevibacterium
• C12N 15/52 - Genes encoding for enzymes or proenzymes
• C12P 7/18 - Preparation of oxygen-containing organic compounds containing a hydroxy group acyclic polyhydric

Abstract

A video encoding/decoding method and apparatus are provided. The video decoding method according to the present disclosure may comprise the steps of: generating a reconstructed block for the current block from a bitstream; and performing filtering by inputting the reconstructed block to an adaptive loop filter (ALF), wherein the step for performing filtering may comprise the steps of: determining one or more reference samples of the current block by using at least one of an inter prediction mode or an intra block copy (IBC); and performing the filtering by using the one or more reference samples.

IPC Classes  ?

• H04N 19/117 - Filters, e.g. for pre-processing or post-processing
• H04N 19/82 - Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation involving filtering within a prediction loop
• H04N 19/593 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial prediction techniques
• H04N 19/513 - Processing of motion vectors
• H04N 19/105 - Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards
• H04N 19/54 - Motion estimation other than block-based using feature points or meshes
• H04N 19/577 - Motion compensation with bidirectional frame interpolation, i.e. using B-pictures
• H04N 19/132 - Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking

Abstract

The present invention relates to a nucleic acid construct that can express and inhibit a gene simultaneously. The nucleic acid construct that can express and inhibit a gene simultaneously, according to the present invention, comprises both mRNA and siRNA in a single construct, and thus, mRNA and siRNA are introduced simultaneously into the same cell. Accordingly, a protein to be expressed may be expressed normally while expression of a particular gene may be specifically inhibited. The mRNA-siRNA nucleic acid construct activates an immune system by expressing a target protein in an antigen-presenting cell, and at the same time, overcomes interference of immune escape by blocking the activity of an immune checkpoint protein, and thus is expected to be remarkably useful in the fields of immunotherapy, especially in the field of cancer immunotherapy.

IPC Classes  ?

• C12N 15/113 - Non-coding nucleic acids modulating the expression of genes, e.g. antisense oligonucleotides
• A61K 39/00 - Medicinal preparations containing antigens or antibodies
• A61P 35/00 - Antineoplastic agents

Abstract

A continuous- and fed-batch-type high-temperature and high-pressure process flavor reactor according to an embodiment of the present invention may comprise: a reactor body for generating a process flavor according to a Maillard reaction under high-temperature and high-pressure reaction conditions by performing a heating process after a precursor and a reactant are added thereinto; and a material supply device provided to communicate with one side of the reactor body and continuously or semi-continuously further supplying an additive material formed of at least one of the precursor or the reactant into the inside of the reactor body when the heating process is performed in the reactor body.

IPC Classes  ?

• A23L 27/21 - Synthetic spices, flavouring agents or condiments containing amino acids
• A23P 30/38 - Puffing or expanding by heating
• A23P 30/32 - Puffing or expanding by pressure release, e.g. explosion puffingPuffing or expanding by vacuum treatment

Abstract

An organometallic compound represented by Formula 1: An organometallic compound represented by Formula 1: An organometallic compound represented by Formula 1: wherein X1 is N or C(R1), and X2 is N or C(R2); at least one of X1 and X2 is N; Y1 is a single bond, O, S, Se, N(R3), C(R3)(R4), Si(R3)(R4), Ge(R3)(R4), B(R3), P(R3), P(═O)(R3), S(═O)2, or C(═O); n1 is 0, 1, or 2; A1 and A2 are each independently a C5-C30 carbocyclic group or a C1-C30 heterocyclic group; wherein the remaining substituent groups are as defined herein.

IPC Classes  ?

• H10K 85/30 - Coordination compounds
• C07F 1/00 - Compounds containing elements of Groups 1 or 11 of the Periodic Table
• C09K 11/06 - Luminescent, e.g. electroluminescent, chemiluminescent, materials containing organic luminescent materials
• H10K 50/12 - OLEDs or polymer light-emitting diodes [PLED] characterised by the electroluminescent [EL] layers comprising dopants

Abstract

The present invention relates to an extracellular vesicle including a coronavirus-derived antigen protein or a gene encoding the protein, and a use of the extracellular vesicle. According to the present invention, when mice are immunized by administering an activated immune cell-derived extracellular vesicle loaded with an antigen protein or mRNA, excellent antigen-specific neutralizing antibody production and T cell response induction effects are confirmed. When the extracellular vesicle is stored under room-temperature and refrigerated conditions after freeze-drying, high stability and an excellent antibody production effect are experimentally confirmed. From these results, the extracellular vesicle according to the present invention or a vaccine composition including the same may serve as a platform applicable to various diseases with an excellent antigen-specific immune response induction effect and excellent stability, and thus is expected to be effectively used for the development of vaccines for preventing or treating various diseases including infectious diseases, particularly coronavirus infections.

IPC Classes  ?

• A61K 39/215 - Coronaviridae, e.g. avian infectious bronchitis virus
• A61K 9/19 - Particulate form, e.g. powders lyophilised
• A61K 9/50 - Microcapsules
• A61K 39/00 - Medicinal preparations containing antigens or antibodies
• A61P 31/14 - Antivirals for RNA viruses
• C12N 7/00 - Viruses, e.g. bacteriophagesCompositions thereofPreparation or purification thereof

Abstract

The present embodiment discloses a video coding method and apparatus using an implicit neural representation model. According to the present embodiment, an image decoding apparatus obtains a neural representations for videos (NeRV) model and configures an input of the NeRV model. The image decoding apparatus outputs N blocks by applying the configured input to the NeRV model. Here, the N blocks correspond to a residual block, a prediction block, a reconstructed block, or a loop-filtered block of the current block. After decoding types of the N blocks, the image decoding apparatus applies an image decoding process based on the types of the N blocks to the N blocks.

IPC Classes  ?

• H04N 19/70 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards
• H04N 19/82 - Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation involving filtering within a prediction loop
• H04N 19/176 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
• H04N 19/124 - Quantisation
• G06N 3/042 - Knowledge-based neural networksLogical representations of neural networks
• G06T 9/00 - Image coding
• H04N 19/177 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a group of pictures [GOP]
• H04N 19/593 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial prediction techniques
• G06N 3/08 - Learning methods
• G06N 3/0464 - Convolutional networks [CNN, ConvNet]