Abstract: Provided is a catheter including a shaft having a distal end removably connected to a distal portion and a proximal end coupled to a holder; 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; a loop control disposed on a butt of the holder and configured to deliver a mechanical bending force to the loop. The loop includes at least a portion made of a shape-memory alloy whose shape changes at a critical temperature. In a first mode, the loop is configured to curl around the tissue at a first curvature at a temperature below the critical temperature by the mechanical bending force. In a second mode, the loop is configured to curl around the tissue at a second curvature at a temperature above the critical temperature.

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. The loop includes: a first film capable of bending to curl around the tissue; a plurality of electrodes disposed on the first film and arranged in parallel to each other with a predetermined distance; a sensor disposed at a position corresponding to a position between the plurality of electrodes.

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: An electrode device for wrapping a vessel in the body according to an embodiment of the present invention comprise an electrode part that surrounds the vessel and denervates or modulates at least some nerves of the vessel; and a guide part that guides movement of the electrode part, wherein the electrode part includes: a first layer that is bent in order for the electrode part to be wound around the vessel; a second layer that is placed on the first layer and is bent in order for the electrode part to be wound in close contact with the vessel; an electrode that is placed on the second layer and denervates or modulates at least some nerves of the vessel with energy from an energy source generator.

Abstract: An electrode unit provided in an electrode device for nerve denervation or modulation in vivo and disposed to enclose a tube-shaped tissue in the body includes an electrode layer formed by sequentially extending a fastening portion, an extension portion and an electrode portion, and the electrode portion including an electrode on one side and configured to enclose the tube-shaped tissue; and a fixing layer stacked with the fastening portion, the extension portion and a part of the electrode portion of the electrode layer.

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: 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 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: 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: 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.