Abstract: A method and a device for encoding/decoding images are disclosed. The method for encoding images comprises the steps of: deriving a scan type of a residual signal for a current block according to whether or not the current block is a transform skip block; and applying the scan type to the residual signal for the current block, wherein the transform skip block is a block to which transform for the current block is not applied and is specified on the basis of information indicating whether or not transform for the current block is to be applied.

Abstract: Disclosed are a spiral curve type music sheet in which different notes are displayed at different positions on a spiral curve based on the pitches of notes, and an apparatus and method for providing a spiral curve type music sheet. The apparatus for providing a spiral curve type music sheet may include a memory configured to store a spiral curve type music sheet in which different notes are displayed at different positions on a spiral curve based on the pitch of the note and note data, and a processor configured to determine the note symbol position related to the note data on the spiral curve in the spiral curve type music sheet based on the frequency of the note data.

Abstract: The present disclosure provides methods of inhibiting amyloid synthesis in a subject using cyclodextrin and analogs thereof. Small molecules (cyclodextrin) reverse APOE4-associated cholesterol phenotypes and lead to significantly improved myelination both human in vitro cultures and APOE4 targeted replacement mice. This demonstrates that APOE4 alters cholesterol synthesis and transport in oligodendrocytes which impairs myelination. Collectively, this work uncovers a pathogenic role of APOE4 in oligodendrocytes and myelination and enables therapeutic opportunities for Alzheimer's Disease.

Abstract: A method and a device for encoding/decoding images are disclosed. The method for encoding images comprises the steps of: deriving a scan type of a residual signal for a current block according to whether or not the current block is a transform skip block; and applying the scan type to the residual signal for the current block, wherein the transform skip block is a block to which transform for the current block is not applied and is specified on the basis of information indicating whether or not transform for the current block is to be applied.

Abstract: It relates to methods of treating prostatitis comprising administering to a male in need thereof a necroptosis inhibitor, including inhibitors of RIP1, RIP3 or MLKL. It also relates to pharmaceutical composition comprising a necroptosis inhibitor and a second different drug for treating prostatitis.

Abstract: Disclosed herein are an apparatus and a method for recognizing a formalized character set based on weakly supervised localization. The formalized character set recognition apparatus based on weakly supervised localization may include memory for storing at least one program; and a processor for executing the program, wherein the program performs recognizing one or more numerals present in a formalized character set image and a number of appearances of each of the numerals, extracting a class activation map in which a location of attention in the formalized character set image is indicated when a specific numeral is recognized, and outputting a formalized character set number in which numerals recognized based on the extracted class activation map are arranged.

Abstract: An object of the present invention is to detect ammonia with high sensitivity and high selectivity using a nanomechanical sensor with a structure that is as simple as possible. A method for detecting ammonia according to an embodiment of the present invention comprises supplying a sample gas possibly containing ammonia to a nanomechanical sensor that detects a stress or a displacement using poly(methyl vinyl ether-alt-maleic anhydride) as a material of a receptor layer, and detecting presence or absence of ammonia or a content of ammonia in the sample gas based on an output signal from the nanomechanical sensor, in which the sample gas is a humidified sample gas with controlled relative humidity.

Abstract: Disclosed herein are a method, an apparatus, and a storage medium for image encoding/decoding using partitioning. Various prediction methods and prediction modes may be used for prediction of a block. When a block is partitioned, information related to partitioning, such as information indicating whether partitioning is to be performed and information specifying the type of partitioning, is signaled. Also, when partitioning is applied to the block, an available prediction method and an available prediction method in prediction for the block may be restricted in prediction for the block. For optimization of signaling, multiple pieces of information related to prediction may be signaled, wherein the pieces of information may have dependency relationships, and in some cases, additional information may be derived as specific values depending on the value of one piece of information, and signaling of the additional information may be skipped.

Abstract: Chimeric antigen receptor T cell (CARTs) compositions and methods of their use are provided. One embodiment provides a chimeric antigen receptor T cell composition including 8F8 chimeric antigen receptor T cells. Another embodiment provides a chimeric antigen receptor T cell composition including 6G11 chimeric antigen receptor T cells. Still another embodiment provide a chimeric antigen receptor T cell composition including 12D7 chimeric antigen receptor T cells. The disclosed CARTs can be used to treat cancer, for example hepatocellular carcinoma.

Abstract: The present disclosure features methods and compositions for treating amyotrophic lateral sclerosis (ALS). The disclosed methods comprise administering to a subject having or suspected of having ALS a hematopoietic stem progenitor cell expressing at least one neuroprotective agent. The compositions disclosed comprise hematopoietic stem progenitor cells transduced to express a neuroprotective agent.

Abstract: A method and system for providing communication analysis of the user equipment (UE) based on network analysis is disclosed. The method provides communication analysis of the UE in a form as UE communication statistics or UE communication prediction by analyzing network data collected from the network function (NF) device.

Abstract: The embodiments described herein relate generally to medical devices that measure vital signs, and more particularly to wearable wireless devices that collect multiple simultaneous vital signs, and systems and methods for compressing the sensor data into a matrix representation to facilitate collecting, transmitting, processing, and displaying vital sign data.

Abstract: Presently described are compositions and methods for performing genome-wide enrichment of DNA microsatellites (e.g., homopolymers) containing deletions and facilitating their detection via sequencing or other downstream methodologies. Additionally, disclosed herein are compositions and methods for selecting the genomic fraction containing poly-adenine/poly-thymidine homopolymer repeats and other A:T-rich sequences of low melting temperature from the genome, so that very little sequencing is required to detect the enriched homo-polymer deletions.

Abstract: An orientation degree distribution analysis method of the present invention includes steps of: inputting crystal structure information of an object to be measured, information on an intensity ratio of each diffraction peak and a crystal plane corresponding to each diffraction peak by X-ray diffraction measurement, information on a diffraction range and diffraction sensitivity, and an intensity ratio of each diffraction peak of a randomly oriented sample to a main storage device; calculating an angle formed by an orientation plane and a crystal plane corresponding to the diffraction peak of interest from the information stored in the main storage device in the step; calculating an existence ratio and storing the existence ratio in the main storage device; setting an orientation degree distribution function; and calculating an orientation degree distribution from the information of the input step and the calculation step.

Abstract: Provided is a novel PDGFR kinase inhibitor, comprising a compound of formula (I) or a pharmaceutically acceptable salt, solvate, ester, acid, metabolite or prodrug thereof. Further provided are use and a method of the compound of formula (I) for preventing or treating conditions associated with PDGFR kinase activity, particularly use and a method for preventing or treating conditions associated with PDGFR? and/or PDGFR? kinase activity.

Abstract: A steric epitope of CEACAM1 is disclosed. An anti-CEACAM1 antibody or a fragment thereof, which specifically binds to CEACAM1 is disclosed. A steric epitope of CEACAM1 includes all amino acids in critical positions for specific binding to an anti-CEACAM1 antibody and maintains an appropriate three-dimensional structure, and thus can high affinity for an anti-CEACAM1 antibody. In addition, an antibody, or a fragment thereof, that specifically binds to a steric epitope can effectively suppress CEACAM1-CEACAM1 interaction and CEACAM1-CEACAM6 interaction.

Abstract: Disclosed herein are a key generation apparatus and method based on machine learning. The key generation method includes generating, by first and second key generation apparatuses, first and second commit values, and uploading the first commit value and the second commit value to an external repository, training, by the first and second key generation apparatuses, a neural network so as to match weight values with each other, sharing, by the first and second key generation apparatuses, the first and second commit values with each other, comparing shared first and second commit values with uploaded commit values, and then verifying the commit values, and when verification of the commit values has succeeded, generating, by the first and second key generation apparatuses, hash values using the matched weight value, verifying whether the hash values are identical to each other, and generating a session secret key based on a result of verification.

Abstract: A geoid calculation data is collected easily. A geoid calculation data collection device of the present invention comprises an inertial measurement data acquisition part, a comparison data acquisition part, and a recording part. In the inertial measurement data acquisition part, data related to velocity, position, and attitude angle is acquired as inertially-derived data based on an output of an inertial measurement part having a three-axis gyro and a three-axis accelerometer attached to a moving body. In the comparison data acquisition part, data related to velocity is acquired as comparison data from a source other than the inertial measurement part. In the recording part, inertially-derived data and comparison data are recorded in association with each other. In the inertial measurement part, a bias stability is acquired that allows error arising from plumb line deviation to be distinguished to a predetermined degree.

Abstract: The present application provides a method for characterizing defects in silicon crystal comprising the following steps: etching a surface of the silicon crystal to remove a predicted thickness of the silicon crystal; conducting a LLS scanning to a surface of the etched silicon crystal to obtain a LLS map of the surface, a LSE size of defects, and defect bulk density; based on at least one of the LLS map of the surface, the LSE size of defects and the defect bulk density, determining a type of defect existing in the silicon crystal and/or a defect zone of each type of defect on the surface. By applying the method, the characterizing period and the characterizing cost can be reduced, plural defects such as vacancy, oxygen precipitate and dislocation can be characterized simultaneously, the characterizing accuracy can be enhanced, and the defect type and the defect zone can be determined with high reliability.

Abstract: The present disclosure relates to a method for converting magnetic resonance imaging (MRI) to a computed tomography (CT) image using an artificial intelligence machine learning model, for use in ultrasound treatment device applications. The method includes acquiring training data including an MRI image and a CT image for machine learning; training an artificial neural network model using the training data, wherein artificial neural network model generates a CT image corresponding to the MRI image, and compares the generated CT image with the original CT image included in the training data; receiving an input MRI image to be converted to a CT image; splitting the input MRI image into a plurality of patches; generating patches of a CT image corresponding to the patches of the input MRI image using the trained artificial neural network model; and merging the patches of the CT image to generate an output CT image.