Abstract: A method for preparing an aramid nanofiber dispersion includes dissolving an aromatic polyamide-based polymer in a solution including a basic material and an aprotic polar solvent, while performing stirring so that a nanofiber is produced, wherein the aromatic polyamide-based polymer is a polymer in a form of a solid which is not spun into a fiber form, the stirring is performed at a temperature of 50° C. or lower and at a speed of 10-1000 rpm so that a time taken for the aromatic polyamide-based polymer to be dissolved and formed into an aramid nano-fiber dispersion is 80 hours or less, an aramid nanofiber in the aramid nanofiber dispersion has an average diameter of 1 to 100 nm and an average length of 0.1 to 100 ?m, and the basic material includes potassium hydroxide or sodium hydroxide.

Abstract: An apparatus for estimating a vehicle weight includes a memory storing computer-executable instructions and at least one processor that accesses the memory and executes the instructions. The at least one processor applies a real velocity and real acceleration to a trained real-to-virtual transformation model to obtain a virtual output set at a target time point, which includes a virtual gradient of a vehicle, a virtual velocity of the vehicle, and virtual longitudinal acceleration of the vehicle, and applies the virtual output set at the target time point and a real wheel torque at the target time point to a trained mass estimation model to obtain weight information of the vehicle. The real-to-virtual transformation model includes a first sub-model for obtaining an initial virtual velocity, a second sub-model for obtaining the virtual longitudinal acceleration, and a third sub-model for obtaining the virtual gradient.

Abstract: The present disclosure relates to a novel method for preparing poly(3-hydroxybutyrate-co-4-hydroxybutyrate), a microorganism using the biosynthetic pathway of poly(3-hydroxybutyrate-co-4-hydroxybutyrate) of the present disclosure, a composition for producing poly(3-hydroxybutyrate-co-4-hydroxybutyrate), and a method for regulating the 4-hydroxybutyrate content of poly(3-hydroxybutyrate-co-4-hydroxybutyrate).

Abstract: The present invention relates to a method and device for diagnosing a defect of a collaborative robot, the method comprising the steps in which: an electronic device generates a sensing data structure for managing sensing data collected from at least one collaborative robot; the electronic device generates an operation data structure for managing operation data associated with the operation of the collaborate robot; the electronic device generates a malfunction data structure for managing malfunction data of a point in which the severity of the operation equals to or is higher than a threshold; and the electronic device stores data collected from the at least one collaborative robot in accordance with the structures. Application to other embodiments is also possible.

Abstract: The present invention provides a pharmaceutical composition for preventing or treating colitis comprising tegoprazan, which is a benzimidazole derivative compound, as an effective ingredient.

Abstract: Disclosed herein are methods and compositions related to the use of the Argonaute-3 (AGO3) polypeptide in disease detection, prevention, and treatment. Specifically, disclosed herein are cleavage-inducing tiny RNAS (cityRNAs) which are capable of inducing AGO3 to slice nucleic acids. This powerful tool can be used in a variety of applications.

Abstract: One aspect according to the present disclosure relates to a novel nucleic acid ligand which is a new class of nucleic acid compound, the existence of which was considered impossible in the prior art. The novel nucleic acid ligand has specific binding affinity with respect to at least two different targets having three-dimensional structures, and the binding sites for the at least two targets are formed in or from a single nucleic acid ligand. The novel nucleic acid ligand according the present disclosure can simultaneously solve several problems of existing aptamers that the prior art could not solve. One aspect according to the present disclosure relates to a novel screening method for identifying the above-mentioned novel nucleic acid ligand. The novel screening method uses a step for sequentially contacting at least two different targets having three-dimensional structures to screen a novel nucleic acid ligand that was previously thought impossible.

Abstract: The present invention relates to a method and apparatus for fault diagnosis of a programmable robot, and includes the steps of collecting sensing data corresponding to an operation of a programmable robot, identifying a program and motion related to the sensing data, generating an execution pattern based on the sensing data, extracting a standard pattern corresponding to the identified program and motion, and diagnosing a fault of the programmable robot by comparing the standard pattern with the execution pattern, and the present invention may be applicable as another embodiment.

Abstract: The present invention relates to a method and system for health monitoring of a collaborative robot, includes the steps of calling a test program installed in a collaborative robot for health monitoring of the collaborative robot when the collaborative robot satisfies a call condition of the test program, performing a test by operating the collaborative robot based on the test program, and collecting and analyzing a result of the test by the collaborative robot, and may be applicable as another embodiment.

Abstract: The present disclosure relates to a method for filtering selectively obstacle to be an obstacle to machine learning according to a learning purpose and a system thereof. A system for filtering obstacle data in machine learning of medical images may include an obstacle data definition unit configured to receive definitions of obstacle data according to a machine learning purpose; a filter generation unit configured to generate a filter for filtering the obstacle data; and a filtering unit configured to remove obstacle data in machine learning using the generated filter.

Abstract: A multilayer electronic component includes a body including a plurality of dielectric layers and having first and second surfaces opposing each other, third and fourth surfaces connected to the first surface and the second surface and opposing each other, and fifth and sixth surfaces connected to the first to fourth surfaces and opposing each other, a plurality of internal electrodes disposed inside of the body, exposed to the first surface and the second surface, and having one ends exposed to the third or fourth surfaces, side margin portions disposed on the first surface and the second surface, and external electrodes disposed on the third surface and the fourth surface. The side margin portions and the plurality of dielectric layers include a metal, and a total amount of the metal included in the side margin portions is greater than that of the plurality of dielectric layers.

Abstract: The present invention relates to a method and apparatus for tracing a fault of a collaborative robot, including the steps of setting, by an electronic device, a basic index which serves as an analysis criterion of operational data generated by the collaborative robot, setting, by the electronic device, an analysis index for analyzing the operational data, receiving, by the electronic device, a plurality of operational data from the collaborative robot, and tracing, by the electronic device, a fault generated in at least one of the plurality of operational data using the basic index and the analysis index, and the application to other exemplary embodiments is possible.

Abstract: A dataset validating method based on a feature coverage according to an exemplary embodiment of the present disclosure includes extracting a feature of a first dataset including a plurality of data using a classification model trained for a predetermined second dataset; clustering labels of the first dataset according to the extracted feature; and validating a coverage of a partial dataset which is a part selected from the first dataset based on the clustering result.

Abstract: The present invention relates to a polymer composite material comprising an aramid nanofiber (ANF), and a method for preparing same. More specifically, the present invention relates to an arylene ether-based polymer or arylene ether imide-based polymer composite material which is obtained by mixing an arylene ether-based polymer or an arylene ether imide-based polymer with aramid nanofibers dispersed in a polar aprotic solution or by adding and polymerizing monomers in the dispersion of aramid nanofibers.

Abstract: A multilayer electronic component includes a body including a plurality of dielectric layers and having first and second surfaces opposing each other, third and fourth surfaces connected to the first surface and the second surface and opposing each other, and fifth and sixth surfaces connected to the first to fourth surfaces and opposing each other, a plurality of internal electrodes disposed inside of the body, exposed to the first surface and the second surface, and having one ends exposed to the third or fourth surfaces, side margin portions disposed on the first surface and the second surface, and external electrodes disposed on the third surface and the fourth surface. The side margin portions and the plurality of dielectric layers include a metal, and a total amount of the metal included in the side margin portions is greater than that of the plurality of dielectric layers.

Abstract: Disclosed is a composite film including a nanocellulose film including cellulose nanofibers stacked in a structure including a plurality of pores; and a polycarbonate resin filling the pores in the nanocellulose film and including a repeating unit that comprises a moiety derived from isosorbide.

Abstract: Provided is a method for tracking a position of a capsule endoscope including: receiving, by an apparatus for tracking a position of a capsule endoscope, an image captured by the capsule endoscope; distinguishing, by the apparatus for tracking a position of a capsule endoscope, a gastrointestinal tract junction from the image using a machine-learned classification model based on the gastrointestinal tract junctions; and tracking, by the apparatus for tracking a position of a capsule endoscope, the position of the capsule endoscope based on the distinguished gastrointestinal tract junctions.

Abstract: The present disclosure relates to a method for preparing an aramid nanofiber dispersion. More specifically, the present invention relates to a method for preparing aramid nanofibers in a short time from aromatic polyamide-based polymers other than fibers, and to aramid nanofibers prepared therefrom.

Abstract: The present disclosure relates to a method for filtering selectively obstacle to be an obstacle to machine learning according to a learning purpose and a system thereof. A system for filtering obstacle data in machine learning of medical images may include an obstacle data definition unit configured to receive definitions of obstacle data according to a machine learning purpose; a filter generation unit configured to generate a filter for filtering the obstacle data; and a filtering unit configured to remove obstacle data in machine learning using the generated filter.

Abstract: The present disclosure relates to a method for evaluating quality of a medical image dataset and a system thereof capable of confirming whether medical image data is suitable to be used for machine learning. Evaluation items may include data normality which means a ratio of normal frames in all frames; learning fitness which means a ratio of labeled or labelable frames in the received data; and anatomical completeness which means a ratio of anatomical elements included in the received data against anatomical elements based on medical standards.