Abstract: A display device includes: a plurality of data lines extending in a first direction, and first to third pixels connected to the plurality of data lines. The first pixel includes a first pixel electrode overlapping the plurality of data lines in a plan view in a thickness direction. The second pixel includes a second pixel electrode spaced apart from the plurality of data lines in the plan view in the thickness direction. The third pixel includes a third pixel electrode overlapping the plurality of data lines in the plan view in the thickness direction.

Abstract: Provided is a catheter including a shaft having a distal end and a loop disposed near the distal end and configured to curl around a tissue and receive, via the shaft, energy to denervate at least a portion of the tissue.

Abstract: The present invention may provide a kit for sampling and preserving a specimen, the kit comprising: a specimen sampling swab; a specimen preserving container for accommodating and storing the specimen sampling swab; a specimen container cover which is coupled to one opened side of the specimen preserving container to be attachable/detachable and opens/closes an accommodation space; and an insertion/coupling portion which protrudes from the inner bottom surface of the specimen container cover toward the accommodation space and has an inner space formed therein, so that a plurality of stick portions are inserted and fitted into the inner space. According to the above statement, when the saliva in the oral cavity and nasal cavity of an examinee are sampled by using respective sampling swabs, the sampling sticks can be simultaneously stored in one sealed container without being stored in separate sealed containers.

Abstract: The present invention can provide a container cap for storing a specimen, the container cap being characterized by comprising: a cap body which includes a tubular side portion and a bottom portion coupled to one end of the side portion, and is detachably screw-fastened to an open side of a specimen storage container in which one or more specimen collection swabs are inserted; an insertion coupling part which protrudes from the bottom portion toward the specimen storage container and has an inner space formed therein, wherein respective stick portions of the one or more specimen collection swabs are inserted into the inner space and fitted and coupled thereto; and a protrusion fitting part which is positioned at the central portion of the inner space and protrudes from the bottom surface of the cover body.

Abstract: The present invention may provide a specimen collection and storage container comprising: a specimen storage container; a specimen container cover; an insertion coupling part provided on the specimen container cover; and an airtight part provided on the specimen container cover so as to maintain airtightness by bringing the specimen container cover into contact with the specimen storage container when the specimen container cover is coupled to the specimen storage container. According to the above description, fastening force can be secured and airtightness can be improved. Therefore, a medium can be prevented from leaking and being contaminated by the outside.

Abstract: An electrode apparatus for nerve denervation or modulation includes a main body including a shaft; an electrode unit formed to be drawn out from one end of the shaft and configured to denervate or modulate at least part of nerves on a tube in the body; an electrode guide including a plurality of joint units and a wire connecting the plurality of joint units to each other and configured to guide the electrode unit; and a driving unit located inside the main body and configured to drive the joint units and the wire to protrude from the one end of the shaft. The driving unit drives the joint units in conjunction with the wire to have different displacements.

Abstract: A method of reinforcement learning of a neural network device for generating a verification vector for verifying a circuit design comprising a circuit block includes inputting a test vector to the circuit block, generating one or more rewards based on a coverage corresponding to the test vector, the coverage being determined based on a state transition of the circuit block based on the test vector, and applying the one or more rewards to a reinforcement learning.

Abstract: An electrode apparatus for nerve denervation or modulation in vivo includes a main body including a shaft; an electrode unit formed to be drawn out from one end of the shaft and configured to denervate or modulate at least part of nerves on a tube in the body; and an electrode guide configured to support the electrode unit and guide the electrode unit to be brought into contact with the tube in the body. The electrode guide includes a plurality of joint units which sequentially protruding from one end of the shaft while forming a curved winding path.

Abstract: The present disclosure relates to a novel compound or a salt thereof, a composition for detecting cysteine, a fluorescent probe, and a composition for diagnosing cancer, which contain the same, a method for detecting cysteine, a method for providing information for diagnosing cancer, and a method for producing the novel compound. According to the present disclosure, there may be provided a method of synthesizing and purifying a fluorescent probe for cysteine detection and applying the same to diagnose cervical cancer by detecting cysteine in human urine.

Abstract: A method of reinforcement learning of a neural network device for generating a verification vector for verifying a circuit design comprising a circuit block includes inputting a test vector to the circuit block, generating one or more rewards based on a coverage corresponding to the test vector, the coverage being determined based on a state transition of the circuit block based on the test vector, and applying the one or more rewards to a reinforcement learning.

Abstract: An electrode apparatus for nerve denervation or modulation in body includes a main body including a shaft; an electrode unit formed to be drawn out from one end of the shaft and configured to denervate or modulate at least some of nerves on a tube in the body; and an electrode guide deformed into a wound state to bring the electrode unit into contact with the tube in the body. The electrode guide includes a body portion which is spaced apart from the electrode unit to enclose the circumference of the tube in the wound state; and a coupling portion which is connected to the end of the body portion and to which an end of the electrode unit is fixed.

Abstract: A method of selecting a model of machine learning executed by a processor is provided. The method includes: receiving at least one data-set; configuring a configuration space for machine learning of the at least one data-set; extracting, from the at least one data-set, a meta-feature including quantitative information about the data-set; calculating performance of the machine learning for the at least one data-set based on a plurality of configurations included in the configuration space; executing meta-learning based on the meta-feature, the plurality of configurations, and the calculated performance; and optimizing the configuration space based on a result of executing the meta-learning.

Abstract: A semiconductor device includes a fin-type pattern extending in a first direction, a device isolation film surrounding the fin-type pattern, while exposing an upper portion of the fin-type pattern, a gate electrode extending on the device isolation film and the fin-type pattern in a second direction intersecting the first direction, a gate isolation film isolating the gate electrode in the second direction, and including a first material and on the device isolation film, an interlayer insulating film filling a side surface of the fin-type pattern and including a second material different from the first material.

Abstract: A device for optimizing and/or improving a simulator parameter of a semiconductor device is provided. The device comprises a memory configured to store an evolution pool, and an input tensor-score pair, and a processor configured to sample a generator network in the evolution pool, initiate a critic network to train the sampled generator network, generate an input tensor from the trained generator network, initiate a simulator to perform a black box operation on the input tensor and to output a score as a result of the operation, and store the input tensor and the score in the memory as a input tensor-score pair, store information used in the black box operation in the evolution pool when the output score is greater than a minimum score, sort the stored information, and update the evolution pool such that only a preset number of information is left in the evolution pool.

Abstract: An electrode apparatus for nerve denervation or modulation in body includes a main body including a shaft; an electrode unit formed to be drawn out from one end of the shaft and configured to denervate or modulate at least part of nerves on a tube in the body; and an electrode guide coupled to the electrode unit and deformed into a wound state to bring the electrode unit into contact with the tube in the body. The electrode guide includes a plurality of joint units disposed to enclose the circumference of the tube with the electrode unit interposed therebetween in the wound state.

Abstract: The present disclosure relates to a novel compound or a salt thereof, a composition for detecting cysteine, a fluorescent probe, and a composition for diagnosing cancer, which contain the same, a method for detecting cysteine, a method for providing information for diagnosing cancer, and a method for producing the novel compound. According to the present disclosure, there may be provided a method of synthesizing and purifying a fluorescent probe for cysteine detection and applying the same to diagnose cervical cancer by detecting cysteine in human urine.

Abstract: A semiconductor device includes a fin-type pattern extending in a first direction, a device isolation film surrounding the fin-type pattern, while exposing an upper portion of the fin-type pattern, a gate electrode extending on the device isolation film and the fin-type pattern in a second direction intersecting the first direction, a gate isolation film isolating the gate electrode in the second direction, and including a first material and on the device isolation film, an interlayer insulating film filling a side surface of the fin-type pattern and including a second material different from the first material.

Abstract: Some example embodiments relate to a super resolution scanning electron microscope (SEM) image implementing device and/or a method thereof. Provided a super resolution scanning electron microscope (SEM) image implementing device comprising a processor configured to crop a low resolution SEM image to generate a first cropped image and a second cropped image, to upscale the first cropped image and the second cropped image to generate a first upscaled image and a second upscaled image, and to cancel noise from the first upscaled image and the second upscaled image to generate a first noise canceled image and a second noise canceled image.

Abstract: A method for detecting defects in a semiconductor device includes pre-training a pre-trained convolutional neural network (CNN) model using a sampled clean data set extracted from a first data set; training a normal convolutional neural network model and a label-noise convolutional neural network model using first data of the first data set and the pre-trained convolutional neural network model. The method also includes outputting a first prediction result on whether second data of a second data set is good or bad using the second data and the normal convolutional neural network model; and outputting a second prediction result on whether second data is good or bad using the second data and the label-noise convolutional neural network model. The first prediction result is compared with the second prediction result to perform noise correction when there is a label difference. Third data created as results of the noise correction is added to the sampled clean data set.