Abstract: The present disclosure relates to a heat-conducting needle for acupuncture in which heat conduction occurs only in the needle body area involved in the treatment during oriental medicine treatment and includes a needle body formed of a metal material with relatively high conductivity to be inserted into human tissue, a needle grip fixed to a rear end of the needle body to form a grip for procedure, and a non-conductive holding cover detachably coupled to the needle grip to cover the needle grip or covering the needle grip together with a portion of the needle grip and made of a material having relatively low conductivity.

Abstract: A display device includes a display panel, a shielding layer which is disposed at a lower end of the display panel and includes a plurality of alignment marks, and a printed circuit board which is aligned on the shielding layer, based on the plurality of alignment marks, and contacts at least a portion of the shielding layer. The shielding layer includes conductive members electrically connecting the printed circuit board and the shielding layer.

Abstract: A stretchable insulating film may include a first insulating layer having stretchability and a second insulating layer on the first layer and having non-stretchability. The first insulating layer may include an elastomer and the second insulating layer may include a cyclic siloxane polymer framework. An electronic device may include the stretchable insulating film. A method of manufacturing the stretchable insulating film may include forming the first insulating layer and forming the second insulating layer. The forming the first insulating layer may include coating a composition including the elastomer or depositing the elastomer. The forming the second insulating layer may include injecting a cyclic siloxane monomer and an initiator on the first insulating layer into a reactor equipped with a heat source and performing a polymerization reaction by low-temperature vapor deposition.

Abstract: A method for processing a video according to the present invention may comprise: generating a plurality of Most Probable Mode (MPM) candidates; determining whether there is an MPM candidate identical to an intra-prediction mode of a current block among the plurality of MPM candidates; obtaining the intra-prediction mode of the current block, based on a result of the determining; and performing an intra-prediction for the current block, based on the intra-prediction mode of the current block.

Abstract: A thin film transistor includes a gate electrode, a semiconductor layer overlapped with the gate electrode, a gate insulating layer between the gate electrode and the semiconductor layer, and a source electrode and a drain electrode electrically connected to the semiconductor layer. The semiconductor layer includes a plurality of holes. The gate insulating layer may include a plurality of recess portions at a surface of the gate insulating layer facing the semiconductor layer. A method of manufacturing the thin film transistor is provided. A thin film transistor array panel and an electronic device may include the thin film transistor.

Abstract: A stretchable substrate includes a first elastomer, a plurality of unit devices on the stretchable substrate, a connecting wire configured to electrically connect adjacent unit devices, and a plurality of auxiliary structures each including a second elastomer and each at least partially overlapping with at least one unit device or the connecting wire, wherein the first elastomer and the second elastomer are separate, respective polymers that commonly include at least one structural unit.

Abstract: A string filter device may include an input buffer group and a string comparator group. The input buffer group may store a plurality of string group data segments. Each of the plurality of string group data segments has a first size and includes a plurality of string data having a variable size. The string comparator group may extract a plurality of different sub-string group data segments having a second size among the plurality of string group data segments, and compare, in parallel, each of the plurality of sub-string group data segments with query data, using a plurality of string comparators.

Abstract: A method of disease management using voice data and an apparatus for performing the method can including receiving, by a voice based disease management device, user's voice data. The method and apparatus can also include generating, by the voice based disease management device, disease management data based on the voice data. Optionally, the step of generating disease management data can include extracting context data and out-of-context data based on the voice data.

Abstract: A method of patient reporting based on a voice using artificial intelligence (AI) and an apparatus for performing the method can include receiving, by a patient analysis device, patient analysis basic information, and generating, by the patient analysis device, report basic information based on the patient analysis basic information. the method and apparatus can also include generating, by a patient report generation device, a patient report based on the report basic information.

Abstract: A method of managing a medication prescription and dosage on the basis of a biomarker and an apparatus for performing the same can include receiving, by a prescription management device, user data and generating, by the prescription management device, prescription data on the basis of the user data.

Abstract: A multilevel processing in memory (PIM) includes a processor in which an optimal operator installed at several layers of memory, an accelerator type circuit for processing an irregular operation, and a scheduler for processing an irregular operation have been installed. The multilevel processing in memory includes a memory module including at least one rank in which a computation operation and a data storage operation are performed in response to a control command from a memory controller. The memory module, the rank, a PIM command scheduler included in the rank, a bank group processing unit, and a bank group constitute a plurality of layers, respectively.

Abstract: A method of generating a customized digital therapeutic on the basis of multi-source data analysis and an apparatus for performing the same can include receiving, by a digital therapeutic generation device, user data and generating, by the digital therapeutic generation device, a digital therapeutic personalized for a user on the basis of the user data.

Abstract: A method of developing a digital therapy solution through a modular digital therapy framework and an apparatus using the method can include receiving, by a digital therapy solution generator, digital therapy solution data; and generating, by the digital therapy solution generator, a digital therapy solution based on the digital therapy solution data.

Abstract: A predictive analysis method for disease progression monitoring and management and an apparatus for performing the method can include receiving, by a disease management device, user data and generating, by the disease management device, user disease management data based on the user data. The disease management data can include disease prediction data for a user or disease monitoring data for the user.

Abstract: A biosensor includes a stretchable substrate, a pixel defining layer on the stretchable substrate and including a first pixel defining layer at least partially defining a first opening and a second pixel defining layer at least partially defining a second opening, a photo-detecting element at least partially in the first opening, and a first light emitting element at least partially in the second opening, wherein an area of the first pixel defining layer is equal to or greater than about twice an area of the first opening.

Abstract: Provided is a method for decoding a video signal. The method includes generating a first prediction sample by performing intra prediction on a current block, determining an intra prediction pattern of a current block, partitioning the current block into a plurality of sub-blocks based on the determined intra prediction pattern, generating a first prediction sample for a sub-block by performing intra prediction, determining an offset for the sub-block to obtain a second prediction sample, and generating the second prediction sample for the sub-block by using the first prediction sample and the offset.

Abstract: A method for processing a video according to the present invention may comprise: generating a plurality of Most Probable Mode (MPM) candidates; determining whether there is an MPM candidate identical to an intra-prediction mode of a current block among the plurality of MPM candidates; obtaining the intra-prediction mode of the current block, based on a result of the determining; and performing an intra-prediction for the current block, based on the intra-prediction mode of the current block.

Abstract: A brake lamp control method of a vehicle is provided. The method includes determining whether a deceleration of the vehicle based on regenerative brake through the electric motor is present in a hysteresis period between an off threshold as a reference for turning off a brake lamp and an on threshold as a reference for turning on the brake lamp. When the deceleration of the vehicle is present in the hysteresis period, the method includes determining a state of the brake lamp before the deceleration of the vehicle enters the hysteresis period. In response to determining that the brake lamp is turned on or off for a reason except for the regenerative brake before the deceleration of the vehicle enters the hysteresis period, a request for turning on the brake lamp is set or reset based on the regenerative brake in response to the determined state of the brake lamp.

Abstract: Disclosed herein are a deep network learning method using an autonomous vehicle and an apparatus for the same. The deep network learning apparatus includes a processor configured to select a deep network model requiring an update in consideration of performance, assign learning amounts for respective vehicles in consideration of respective operation patterns of multiple autonomous vehicles registered through user authentication, distribute the deep network model and the learning data to the multiple autonomous vehicles based on the learning amounts for respective vehicles, and receive learning results from the multiple autonomous vehicles, and memory configured to store the deep network model and the learning data.

Abstract: Provided is a method for decoding a video signal. The method includes generating a first prediction sample by performing intra prediction on a current block, determining an intra prediction pattern of a current block, partitioning the current block into a plurality of sub-blocks based on the determined intra prediction pattern, generating a first prediction sample for a sub-block by performing intra prediction, determining an offset for the sub-block to obtain a second prediction sample, and generating the second prediction sample for the sub-block by using the first prediction sample and the offset.