Abstract

22 and PEI are attached onto the surface of the ceramic nanofiltration membrane by electrostatic attraction of H-S and C-S pairs between sulfur (S) and hydrogen (H) atoms and between sulfur (S) and carbon (C) atoms in each molecule. The ceramic nanofiltration membrane of the present invention has high mechanical stability while maintaining ion removal ability encompassing filtration amount, filtration recovery rate, and ion removal rate, can withstand extreme environments, such as semiconductor wastewater, through strong properties thereof, and allows for a small interlayer gap without the need for an intermediate layer, enabling the removal of fine contaminants, such as dissolved silica in semiconductor wastewater.

IPC Classes  ?

• B01D 67/00 - Processes specially adapted for manufacturing semi-permeable membranes for separation processes or apparatus
• B01D 69/12 - Composite membranesUltra-thin membranes
• B01D 71/02 - Inorganic material
• B01D 61/02 - Reverse osmosisHyperfiltration
• C02F 1/44 - Treatment of water, waste water, or sewage by dialysis, osmosis or reverse osmosis

Abstract

The present invention relates to antibodies that bind to an IgE-dependent histamine-releasing factor (HRF) and uses thereof. It has been confirmed that the anti-HRF antibodies according to the present invention inhibit HRF activity by binding, with a high binding affinity, specifically to the HRF, and thus can be usefully employed to develop agents for preventing and treating HRF-related diseases such as allergic diseases, inflammatory diseases, autoimmune diseases, cancer, hypertension, malaria, or osteoporosis.

IPC Classes  ?

• C07K 16/18 - Immunoglobulins, e.g. monoclonal or polyclonal antibodies against material from animals or humans
• A61K 39/00 - Medicinal preparations containing antigens or antibodies
• A61P 11/06 - Antiasthmatics
• 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

The present invention relates to a novel compound and a pharmaceutical composition comprising the same as an active ingredient. The novel compound, which is obtained by means of carrying out chemical modification in a mother structure showing excellent AMP-activated protein kinase (AMPK) activation efficacy and in silico binding capacity, enables effective prevention or treatment of degenerative neurological disorders by means of effectively inducing AMP-activated protein kinase enzyme activation.

IPC Classes  ?

• C07C 311/21 - Sulfonamides having sulfur atoms of sulfonamide groups bound to carbon atoms of six-membered aromatic rings having the nitrogen atom of at least one of the sulfonamide groups bound to a carbon atom of a six-membered aromatic ring
• 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
• C07C 225/22 - Compounds containing amino groups and doubly-bound oxygen atoms bound to the same carbon skeleton, at least one of the doubly-bound oxygen atoms not being part of a —CHO group, e.g. amino ketones having amino groups bound to carbon atoms of six-membered aromatic rings of the carbon skeleton
• C07D 211/14 - Heterocyclic compounds containing hydrogenated pyridine rings, not condensed with other rings with only hydrogen or carbon atoms directly attached to the ring nitrogen atom having no double bonds between ring members or between ring members and non-ring members with hydrocarbon or substituted hydrocarbon radicals directly attached to ring carbon atoms with radicals containing only carbon and hydrogen atoms attached to ring carbon atoms with hydrocarbon or substituted hydrocarbon radicals attached to the ring nitrogen atom
• C07D 241/04 - Heterocyclic compounds containing 1,4-diazine or hydrogenated 1,4-diazine rings not condensed with other rings having no double bonds between ring members or between ring members and non-ring members

Abstract

A medical diagnosis device for classifying cell types according to the present disclosure may comprise: a memory for storing at least one instruction; and at least one processor for executing the at least one instruction. The at least one processor may receive peripheral blood slide image data, perform preprocessing on the peripheral blood slide image data, and classify at least one cell type among an AML group, an ALL group, an IG group, and a NORMAL group from the peripheral blood slide image data by using an ensemble image classification model. The ensemble image classification model may include at least one ConvNext model and at least one Transformer model.

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 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 50/50 - 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
• G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
• G06T 5/70 - DenoisingSmoothing
• G06N 3/045 - Combinations of networks
• G06N 3/0464 - Convolutional networks [CNN, ConvNet]
• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
• G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects

Abstract

The present invention relates to a composition for treating cancerous diseases and a method for screening same The composition for treating cancer diseases of the present invention inhibits the survival of M2 macrophages and induces reprogramming from M2 TAM to M1 TAM to inhibit the growth of tumors, thereby treating cancerous diseases. In addition, the screening method of the present invention can easily identify and obtain substances effective for treating cancerous diseases among multiple candidate therapeutic substances, and thus can be advantageously used for developing and identifying novel cancer therapeutic agents.

IPC Classes  ?

• A61K 35/33 - Fibroblasts
• A61K 35/13 - Tumour cells, irrespective of tissue of origin
• A61P 35/00 - Antineoplastic agents
• G01N 33/50 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing

Abstract

The present invention relates to a novel human variable domain scaffold and a single domain antibody library based on same. The scaffold according to the present invention is monomeric and stable, and maintains appropriate folding, and is sufficiently flexible to withstand various CDR loop shapes, thereby being able to accommodate various CDR sequences and shapes, and thus is very suitable for use as a scaffold for an antibody library.

IPC Classes  ?

• C07K 16/00 - Immunoglobulins, e.g. monoclonal or polyclonal antibodies
• C12N 15/10 - Processes for the isolation, preparation or purification of DNA or RNA
• C40B 40/10 - Libraries containing peptides or polypeptides, or derivatives thereof

Abstract

The present disclosure relates to a novel cyclic lipopeptide compound and a use thereof. More specifically, the present invention relates to a compound represented by chemical formula 1, an acceptable salt thereof, a stereoisomer thereof, a hydrate thereof, or a solvate thereof, and to an antibacterial or biofilm formation inhibiting composition comprising the compound, the acceptable salt thereof, the stereoisomer thereof, the hydrate thereof, or the solvate thereof as an active ingredient.

IPC Classes  ?

• C07K 7/64 - Cyclic peptides containing only normal peptide links
• A01N 37/46 - N-acyl derivatives
• A01P 1/00 - DisinfectantsAntimicrobial compounds or mixtures thereof

Abstract

The present embodiment discloses a video coding method and apparatus for deriving an intra prediction mode. In the present embodiment, an image decoding apparatus acquires an intra prediction technology in relation to the restoration of the current block. The image decoding apparatus derives at least one intra prediction mode by using adjacent samples of the current block on the basis of the intra prediction technology, and generates a list including the at least one intra prediction mode. The image decoding apparatus acquires a first mode index and a second mode index, and derives a first intra prediction mode and a second intra prediction mode from the list according to the first mode index and the second mode index. The image decoding apparatus reconstructs the current block on the basis of the first intra prediction mode and the second intra prediction mode.

IPC Classes  ?

• 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 19/105 - 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

Abstract

The present disclosure relates to an extracellular vesicle including an antigen protein or a gene encoding the antigen protein and use thereof, and more particularly, to: an extracellular vesicle including an antigen protein derived from a virus, a microorganism, or cancer cells, or a gene encoding the antigen protein; or a vaccine composition for the prevention or treatment of a viral infection, a microbial infection, or cancer, the vaccine composition including the extracellular vesicle. The extracellular vesicle or the vaccine composition including the extracellular vesicle, according to the present disclosure, is a platform that has stability and an excellent effect of inducing an antigen-specific immune response and can be applied to various diseases, and thus is expected to be effectively used in the field of development of a vaccine for the prevention or treatment of various diseases, including microbial infections or cancer.

IPC Classes  ?

• A61K 9/50 - Microcapsules
• A61K 39/00 - Medicinal preparations containing antigens or antibodies
• A61K 39/12 - Viral antigens
• A61K 39/145 - Orthomyxoviridae, e.g. influenza virus
• A61K 39/25 - Varicella-zoster virus
• A61P 37/04 - Immunostimulants

Abstract

The present invention relates to a composition for preventing or treating aging and aging-related diseases, comprising a Sambucus spp. extract or a compound isolated therefrom as an active ingredient. It has been confirmed that the Sambucus spp. extract or the compound isolated therefrom exhibits effects of suppressing the expression of p16, which is a cellular aging biomarker, and promoting autophagy. Accordingly, the Sambucus spp. extract or the compound isolated therefrom of the present invention is expected to be applicable to the development of therapeutic agents, functional health foods for amelioration, veterinary medicines, and animal feed compositions for aging or aging-related diseases such as idiopathic pulmonary fibrosis, cardiovascular diseases, diabetes, neurodegenerative diseases, sarcopenia, and osteoarthritis-related diseases.

IPC Classes  ?

• A61K 36/185 - Magnoliopsida (dicotyledons)
• A61K 31/216 - Esters, e.g. nitroglycerine, selenocyanates of carboxylic acids of acids having aromatic rings, e.g. benactizyne, clofibrate
• A61K 31/191 - Acyclic acids having two or more hydroxy groups, e.g. gluconic acid
• A61P 43/00 - Drugs for specific purposes, not provided for in groups
• A61P 11/00 - Drugs for disorders of the respiratory system
• A61P 9/00 - Drugs for disorders of the cardiovascular system
• A61P 3/10 - Drugs for disorders of the metabolism for glucose homeostasis for hyperglycaemia, e.g. antidiabetics
• 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
• A61P 21/00 - Drugs for disorders of the muscular or neuromuscular system
• A61P 19/00 - Drugs for skeletal disorders

Abstract

244) self-assembled between an electron transport layer and a perovskite layer, whereby defects such as oxygen vacancies formed on the surface of the electron transport layer are eliminated, the band structure at the interface between the electron transport layer and the perovskite is aligned, and a passivation effect of the perovskite may be realized. Accordingly, the efficiency of the device may be improved, and long-term stability may be improved.

IPC Classes  ?

• H10K 30/88 - PassivationContainersEncapsulations
• H10K 30/85 - Layers having high electron mobility, e.g. electron-transporting layers or hole-blocking layers
• H10K 30/40 - Organic devices sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation comprising a p-i-n structure, e.g. having a perovskite absorber between p-type and n-type charge transport layers
• H10K 30/50 - Photovoltaic [PV] devices
• H10K 85/50 - Organic perovskitesHybrid organic-inorganic perovskites [HOIP], e.g. CH3NH3PbI3
• H10K 30/15 - Sensitised wide-bandgap semiconductor devices, e.g. dye-sensitised TiO2
• H10K 30/81 - Electrodes
• H10K 30/86 - Layers having high hole mobility, e.g. hole-transporting layers or electron-blocking layers
• H10K 71/12 - Deposition of organic active material using liquid deposition, e.g. spin coating
• H10K 85/30 - Coordination compounds

Abstract

The present embodiment discloses a method for improving subjective image quality in template matching-based prediction. In the present embodiment, an image decoding device sets a template of the current block. The template includes an adjacent pixel region of the current block and a first region of the current block, and the first region includes outer pixels of the current block and is adjacent to the adjacent pixel region. The current block includes the first region and a second region, and the second region is a region of the current block excluding the first region. The image decoding device acquires a reference block by performing template matching in a pre-reconstructed reference region on the basis of a template, and generates a prediction block of the current block on the basis of the reference block. The image decoding device applies filtering to an adjacent pixel of the current block to correct the first region of the current block. The image decoding device generates prediction signals of the first region, and generates prediction signals of the second region on the basis of the reference block.

IPC Classes  ?

• H04N 19/86 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression involving reduction of coding artifacts, e.g. of blockiness
• H04N 19/154 - Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
• H04N 19/11 - Selection of coding mode or of prediction mode among a plurality of spatial predictive coding modes
• 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

Abstract

The present embodiment provides a video coding method and device using a histogram of occurrence of an intra-prediction mode. In the present embodiment, a video decoding device decodes a flag indicating whether to perform intra-prediction based on a HoC for a current block. The HoC depends on the frequency of occurrence for each pixel of each intra-prediction mode in the neighboring blocks, in relation to the intra-prediction modes applied to prediction of predefined reconstructed neighboring blocks. The image decoding device generates the HoC on the basis of intra-prediction modes, positions of neighboring blocks, and weights related to the intra-prediction modes, when performing of intra-prediction based on the HoC is determined according to the flag. The image decoding device generates a prediction block of the current block by performing intra-prediction based on the HoC.

Abstract

The present embodiment discloses a method for changing a neural network parameter in video compression. In the present embodiment, an image decoding apparatus decodes parameters of an in-loop filter from a bitstream, wherein the in-loop filter is pre-trained on the basis of deep learning, and includes a convolution layer and an activation function. The image decoding apparatus acquires a content adaptive parameter related to the in-loop filter. The image decoding apparatus acquires a reconstructed block of the current block, wherein the reconstructed block includes a luma block and a chroma block. The image decoding apparatus generates stacked blocks on the basis of the luma block and the chroma block. The image decoding apparatus performs filtering by inputting the stacked blocks into the in-loop filter and applying the content adaptive parameter to the convolution layer or the activation function.

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 19/147 - Data rate or code amount at the encoder output according to rate distortion criteria
• H04N 19/149 - Data rate or code amount at the encoder output by estimating the code amount by means of a model, e.g. mathematical model or statistical model
• H04N 19/30 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using hierarchical techniques, e.g. scalability
• H04N 19/61 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding in combination with predictive coding
• H04N 19/124 - Quantisation
• G06N 3/0464 - Convolutional networks [CNN, ConvNet]
• 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]

Abstract

The present embodiment discloses a method and device for video coding using an extrapolation filter. In the present embodiment, an image decoding device determines a reference sample region and a filter shape. The reference sample region includes reconstructed reference samples of a current block and is used to derive filter coefficients used for extrapolation intra prediction, and the filter shape includes an output pixel region and an input pixel region. The image decoding device obtains a prediction order of samples in the current block. The image decoding device derives filter coefficients applied to the input pixel region according to the reference sample region and the filter shape. The image decoding device generates a prediction block of the current block by recursively applying the derived filter coefficients to prediction samples and the reconstructed reference samples of the current block on the basis of the prediction order.

IPC Classes  ?

• H04N 19/593 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial prediction techniques
• H04N 19/11 - Selection of coding mode or of prediction mode among a plurality of spatial 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 19/80 - Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation

Abstract

The present invention relates to an apparatus for sleep quality analysis using a wearable device with flexible electrodes, to a method for sleep quality analysis, and to a system for sleep quality analysis. The present invention may: transmit, to a wearable device worn by a user, a measurement control signal for controlling measurement and transmission of biometric data for sleep state analysis; collect, from the wearable device, the biometric data measured by the wearable device, via flexible electrodes attached to the user; and analyze the collected biometric data using artificial intelligence to determine a sleep stage indicative of the user's sleep quality.

IPC Classes  ?

• A61B 5/00 - Measuring for diagnostic purposes Identification of persons
• A61B 5/369 - Electroencephalography [EEG]
• A61B 5/398 - Electrooculography [EOG], e.g. detecting nystagmusElectroretinography [ERG]
• A61B 5/389 - Electromyography [EMG]
• A61B 5/024 - Measuring pulse rate or heart rate

Abstract

Embodiments relate to a composition for inducing differentiation of stem cells into chondrocytes, a pharmaceutical composition for treatment of cartilage injury diseases, and a sustained-release dosage form for inducing differentiation of stem cells into chondrocytes, wherein the compositions and dosage form each comprise an antifolate. Using the composition for inducing differentiation of stem cells into chondrocytes according to one embodiment, it is possible to selectively induce stem cells to differentiate into chondrocytes without inducing differentiation into other cell types.

IPC Classes  ?

• A61K 35/28 - Bone marrowHaematopoietic stem cellsMesenchymal stem cells of any origin, e.g. adipose-derived stem cells
• A61K 9/00 - Medicinal preparations characterised by special physical form
• A61K 9/06 - OintmentsBases therefor
• A61K 31/145 - Amines, e.g. amantadine having sulfur atoms, e.g. thiurams (N—C(S)—S—C(S)—N or N—C(S)—S—S—C(S)—N)Sulfinylamines (—N=SO)Sulfonylamines (—N=SO2)
• A61K 31/505 - PyrimidinesHydrogenated pyrimidines, e.g. trimethoprim
• A61K 31/519 - PyrimidinesHydrogenated pyrimidines, e.g. trimethoprim ortho- or peri-condensed with heterocyclic rings
• A61K 47/34 - Macromolecular compounds obtained otherwise than by reactions only involving carbon-to-carbon unsaturated bonds, e.g. polyesters, polyamino acids, polysiloxanes, polyphosphazines, copolymers of polyalkylene glycol or poloxamers

Abstract

A device for thermoamperometry and thermocoulometry and an analysis method are provided. One aspect of the present invention provides a device for thermoamperometry and thermocoulometry, including: a chamber filled with a measurement solution containing a target material and an electrolyte; an electrode unit immersed in the measurement solution; a temperature controller adjusting a temperature of the measurement solution; a temperature measurement unit immersed in the measurement solution and spaced apart from the electrode unit; and a controller connected to both the temperature measurement unit and the electrode unit.

IPC Classes  ?

• G01N 25/02 - Investigating or analysing materials by the use of thermal means by investigating changes of state or changes of phaseInvestigating or analysing materials by the use of thermal means by investigating sintering
• G01N 27/04 - Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance
• G01N 27/26 - Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating electrochemical variablesInvestigating or analysing materials by the use of electric, electrochemical, or magnetic means by using electrolysis or electrophoresis
• G01R 19/00 - Arrangements for measuring currents or voltages or for indicating presence or sign thereof
• G01R 29/24 - Arrangements for measuring quantities of charge

Abstract

Disclosed is an apparatus for decoding a linear code or a binary code by using a quantum circuit, the apparatus comprising a quantum circuit for decoding a linear code executed on a quantum computer, wherein the quantum circuit comprises: a generator matrix operation module, into which a received message vector is inputted and which converts the received message vector into a codeword; and a Hamming weight calculation module, which calculates the Hamming distance d between the converted codeword and the inputted vector to estimate the presence and number of errors.

IPC Classes  ?

• G06N 10/70 - Quantum error correction, detection or prevention, e.g. surface codes or magic state distillation
• G06N 10/60 - Quantum algorithms, e.g. based on quantum optimisation, or quantum Fourier or Hadamard transforms
• G06N 10/20 - Models of quantum computing, e.g. quantum circuits or universal quantum computers
• G06N 10/40 - Physical realisations or architectures of quantum processors or components for manipulating qubits, e.g. qubit coupling or qubit control
• B82Y 10/00 - Nanotechnology for information processing, storage or transmission, e.g. quantum computing or single electron logic

Abstract

The present application relates to a chiral plasmonic hybrid structure and a manufacturing method therefor. The chiral plasmonic hybrid structure according to embodiments of the present application has excellent chiral optical properties, and thus can be applied as a promising material for a circular polarization sensing device, an anti-counterfeiting system, a circular polarization filter, a display, and the like, which are next-generation application fields.

IPC Classes  ?

• G02B 5/00 - Optical elements other than lenses
• G02B 1/00 - Optical elements characterised by the material of which they are madeOptical coatings for optical elements

Abstract

A method is disclosed for inter-predicting chroma components by using bi-prediction. A video decoding device generates, for the current chroma block, a chroma bi-prediction block. The video decoding device derives weights of the current chroma block by using a first luma prediction block, a second luma prediction block, and a final luma reconstruction block of a luma block corresponding to the current chroma block. The video decoding device generates a final chroma prediction block of the current chroma block by applying the weights to the chroma bi-prediction blocks.

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 19/159 - 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

Bifidobacterium adolescentisBifidobacterium longumBifidobacterium longumBifidobacterium longum DS4148 KCTC15777BP or an extracellular vesicle thereof according to the present invention has anticancer activity due to inducing apoptosis of cancer cells, and thus can be effectively used as a composition for preventing, treating, or alleviating cancer in humans or animals.

IPC Classes  ?

• C12N 1/20 - BacteriaCulture media therefor
• A61K 35/745 - Bifidobacteria
• A61K 31/704 - Compounds having saccharide radicals attached to non-saccharide compounds by glycosidic linkages attached to a carbocyclic compound, e.g. phloridzin attached to a condensed carbocyclic ring system, e.g. sennosides, thiocolchicosides, escin, daunorubicin, digitoxin
• A61P 35/00 - Antineoplastic agents
• A23L 33/135 - Bacteria or derivatives thereof, e.g. probiotics
• C12R 1/01 - Bacteria or actinomycetales

Abstract

The present application relates to a chiral plasmonic photocatalyst, a manufacturing method therefor, and a hydrogen production method using the chiral plasmonic photocatalyst. The photocatalyst according to embodiments of the present application can induce a high hydrogen production reaction by emitting a circularly polarized laser, capable of strongly interacting with chiral plasmonic metal nanoparticles, to induce the generation of a chiral near field and aligned thermal electrons, which correspond to effects corresponding to chiral plasmonic characteristics.

IPC Classes  ?

• B01J 35/39 - Photocatalytic properties
• B01J 23/38 - Catalysts comprising metals or metal oxides or hydroxides, not provided for in group of noble metals
• B01J 23/72 - Copper
• B01J 23/40 - Catalysts comprising metals or metal oxides or hydroxides, not provided for in group of noble metals of the platinum group metals
• B01J 23/48 - Silver or gold
• B01J 35/45 - Nanoparticles

Abstract

The present disclosure relates to a method of preparing a doped halide perovskite single crystal and a halide perovskite single crystal prepared by the method. A method of preparing a doped perovskite single crystal according to the present disclosure is capable of preparing a single crystal within about 24 hours by inverse temperature crystallization (ITC) and obtaining high-quality, large-area perovskite single crystals.

IPC Classes  ?

• C30B 29/12 - Halides
• C30B 7/14 - Single-crystal growth from solutions using solvents which are liquid at normal temperature, e.g. aqueous solutions the crystallising materials being formed by chemical reactions in the solution
• C30B 29/66 - Crystals of complex geometrical shape, e.g. tubes, cylinders

Abstract

The present embodiment discloses a method for processing a luma block and a chroma block in a neural network-based filter. In the present embodiment, an image decoding device decodes parameters of an in-loop filter, wherein the in-loop filter is trained in advance on the basis of deep learning. The image decoding device obtains a reconstructed block of the current block, wherein the reconstructed block includes a luma block and a chroma block, and the luma block has the size of W × H. The image decoding device generates transform luma blocks in which spatial resolution has been decomposed by applying transform to the luma block, and generates stacked blocks on the basis of the transform luma blocks and the chroma block. The image decoding device performs filtering by inputting the stacked blocks to the in-loop filter, wherein different convolution operations are applied to the transform luma blocks and the chroma block.

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 19/186 - 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 19/52 - Processing of motion vectors by encoding by predictive encoding
• 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 19/70 - 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 an eggshell coating composition comprising a cationic polysaccharide polymer, pullulan, a polyphenol compound, and a polyvalent metal salt, and to an egg coated therewith. The eggshell coating composition according to the present invention exhibits low gas permeability and excellently preserves the freshness of eggs. Moreover, since the components used in the composition are naturally derived, the composition is environmentally friendly. In addition, since the coating layer demonstrates high adhesion, the eggshell coating composition effectively maintains the freshness of washed eggs and prevents the penetration of pathogens, thus being advantageous for long-term storage.

IPC Classes  ?

• A23B 5/06 - Coating eggs with a protective layerCompositions or apparatus therefor
• A23P 20/00 - Coating of foodstuffsCoatings thereforMaking laminated, multi-layered, stuffed or hollow foodstuffs
• C09D 105/08 - ChitinChondroitin sulfateHyaluronic acidDerivatives thereof
• C09D 5/14 - Paints containing biocides, e.g. fungicides, insecticides or pesticides
• C09D 7/61 - Additives non-macromolecular inorganic
• C09D 7/63 - Additives non-macromolecular organic
• C08L 5/00 - Compositions of polysaccharides or of their derivatives not provided for in group or

Abstract

The present disclosure relates to a chiral metal oxide nanostructure and a method of preparing the same.

IPC Classes  ?

• 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
• B82B 3/00 - Manufacture or treatment of nanostructures by manipulation of individual atoms or molecules, or limited collections of atoms or molecules as discrete units
• B82Y 30/00 - Nanotechnology for materials or surface science, e.g. nanocomposites
• C01G 3/02 - OxidesHydroxides
• C01G 37/033 - Chromium trioxideChromic acid
• C01G 49/06 - Ferric oxide [Fe2O3]
• C01G 51/04 - Oxides

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

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

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

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

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