Abstract: A multilayer capacitor includes a body including a plurality of dielectric layers and a plurality of internal electrodes stacked in a first direction, and external electrodes, wherein the body includes an active portion, a side margin portion covering at least one of a first surface and a second surface of the active portion opposing each other in a second direction, and a cover portion covering the active portion in the first direction, respective dielectric layers among the plurality of dielectric layers include a barium titanate-based composition, the dielectric layer of the side margin portion includes Sn, and a content of Sn in the dielectric layer of the side margin portion is different from that of Sn in the dielectric layer of the active portion, and the dielectric layer of the side margin portion includes at least some grains having a core-shell structure.

Abstract: The present invention relates to a method and system for providing language learning services. The method of providing language learning services, according to the present invention, the method may include: activating, in response to receiving an input for acquiring a learning target image through a user terminal, a camera of the user terminal; specifying at least a portion of an image taken by the camera as the learning target image; receiving language learning information for the learning target image from a server; providing the language learning information to the user terminal; and storing, based on a request for storing of the language learning information, the language learning information in association with the learning target image, such that the learning target image is used in conjunction with learning of the language learning information.

Abstract: Disclosed herein is a disinfection robot. The disinfection robot includes a body provided with an outlet, a fan provided inside the body, a fan motor configured to rotate the fan, a wheel provided under the body, a wheel motor configured to rotate the wheel, a three-dimensional camera having a forward field of view of the body and configured to capture a three-dimensional image, and a processor configured to control the fan motor to rotate the fan to discharge air through the outlet and control the wheel motor to rotate the wheel to move the body based on the three-dimensional image.

Abstract: Disclosed herein is a disinfection robot. The disinfection robot includes a body provided with an outlet, a fan provided inside the body, a fan motor configured to rotate the fan, a wheel provided under the body, a wheel motor configured to rotate the wheel, and a processor including geographical map data corresponding to a disinfection space including a plurality of zones and air quality map data indicating air quality of the plurality of zones, and configured to control the fan motor to rotate the fan to discharge air through the outlet and control the wheel motor to rotate the wheel to move the body based on the geographical map data and the air quality map data.

Abstract: Disclosed herein are a white organic light-emitting device. The white organic light-emitting device enables an overall improvement in characteristics such as color temperature, efficiency, luminance, and service life, by changing the configuration of different types of emission layers in contact with each other, and a display device using the same.

Abstract: A method performed by a managing server includes: receiving, from an electronic device, operation data of the electronic device; identifying, by using artificial intelligence (AI), a device usage pattern of the electronic device; identifying, by using the AI, information related to a failure or an abnormal operation of the electronic device and a solution to the failure or the abnormal operation based on the device usage pattern and the operation data received from the electronic device; and transmitting, to a user terminal, the information related to the failure or the abnormal operation of the electronic device and the solution to the failure or the abnormal operation.

Abstract: The present disclosure relates to an isolated anti-FcRN antibody, which is an antibody binding to FcRN (stands for neonatal Fc receptor, also called FcRP, FcRB or Brambell receptor) that is a receptor with a high affinity for IgG or a fragment thereof, a method of preparing thereof, a composition for treating autoimmune disease, which comprises the antibody, and a method of treating and diagnosing autoimmunre diseases using the antibody. The FcRn-specific antibody according to the present disclosure binds to FcRn non-competitively with IgG to reduce serum pathogenic auto-antibody levels, and thus can be used for the treatment of autoimmune diseases.

Abstract: An electronic device structure having a shielding structure includes a substrate with an electronic component electrically connected to the substrate. The shielding structure includes conductive spaced-apart pillar structures that have proximate ends connected to the substrate and distal ends spaced apart from the substrate, and that are laterally spaced apart from the first electronic component. In one embodiment, the conductive pillar structures are conductive wires attached at one end to the substrate with an opposing end extending away from the substrate so that the conductive wires are provided generally perpendicular to the substrate. A package body encapsulates the electronic component and the conductive spaced-apart pillar structures. In one embodiment, the shielding structure further includes a shielding layer disposed adjacent to the package body, which is electrically connected to the conductive spaced-apart pillar structures.

Abstract: A printed circuit board includes a first substrate portion including a plurality of first insulating layers, a plurality of first wiring layers respectively disposed on the plurality of first insulating layers, and a plurality of first adhesive layers respectively disposed between the plurality of first insulating layers to respectively cover the plurality of first wiring layers; and a second substrate portion disposed on the first substrate portion, and including a plurality of second insulating layers, a plurality of second wiring layers respectively disposed on the plurality of second insulating layers, and a plurality of second adhesive layers respectively disposed between the plurality of second insulating layers to respectively cover the plurality of second wiring layers.

Abstract: An electroluminescent device including a first electrode and a second electrode facing each other; a light emitting layer disposed between the first electrode and the second electrode; and an electron transport layer disposed between the light emitting layer and the second electrode. The light emitting layer includes a plurality of semiconductor nanoparticles, and the electron transport layer includes a plurality of zinc oxide nanoparticles, the zinc oxide nanoparticles further include magnesium and gallium.

Abstract: An electronic device includes a semiconductor memory including material layers each including one or more low-resistance areas and one or more high-resistance areas, insulating layers stacked alternately with the material layers and including protrusions extending more than the material layers, conductive pillars passing through the insulating layers and the low-resistance areas, conductive layers located between the protrusions, and variable resistance layers interposed between the low-resistance areas and the conductive layers.

Abstract: Disclosed is a method of integrally optimizing different types of parameters that require setting during a machine learning process. The disclosed method of integrally optimizing the parameters includes performing training on a machine learning model by selecting sensor parameters and machine learning model hyperparameters until a predetermined termination condition is satisfied; and determining, among the selected sensor parameters and machine learning model hyperparameters, an optimized sensor parameter and optimized machine learning model hyperparameter that minimize a loss value for the machine learning model, wherein the performing of the training on the machine learning model includes selecting the sensor parameters and machine learning model hyperparameters that satisfy a predetermined optimization range, and performing training on the machine learning model based on sensor data provided from a sensor by the selected sensor parameters and the machine learning model hyperparameters.

Abstract: An example image forming apparatus includes a frame, a first shaft supported by the frame, and a first coupler. The first coupler includes a body coupled to one end of the first shaft and a first protrusion protruding from the body in an axial direction of the first shaft, the first protrusion having a first surface and a second protrusion protruding from the first surface. The second protrusion is to lock with a groove to mount a cartridge on the frame, the first shaft is to provide a rotational force in a first rotational direction to rotate the second protrusion of the first coupler and to insert the second protrusion into the groove to lock with the cartridge, and the first surface of the first protrusion of the first coupler is to contact a second surface to transmit the rotational force to the second coupler in the first rotational direction.

Abstract: The method for estimating mental health and providing solution for mental health by learning psychological data and biological data based on machine learning includes: (a) acquiring, by mental health estimating device, psychological data for testing and biological data for testing of test subject from terminal of the test subject in state in which first estimated model is learned by referring to estimated mental health data for learning output from the first estimated model and ground truth mental health data corresponding to the estimated mental health data after psychological data for learning and biological data for learning of learning subjects are input to the first estimated model; and (b) inputting, by the mental health estimating device, the psychological data for testing and the biological data for testing to the first estimated model to allow the first estimated model to output estimated mental health data for testing.

Abstract: The method for estimating mental health and providing solution for mental health by learning psychological data and biological data based on machine learning includes: (a) acquiring, by mental health estimating device, psychological data for testing and biological data for testing of test subject from terminal of the test subject in state in which first estimated model is learned by referring to estimated mental health data for learning output from the first estimated model and ground truth mental health data corresponding to the estimated mental health data after psychological data for learning and biological data for learning of learning subjects are input to the first estimated model; and (b) inputting, by the mental health estimating device, the psychological data for testing and the biological data for testing to the first estimated model to allow the first estimated model to output estimated mental health data for testing.

Abstract: The present invention relates to an electromagnetic contactor, and more particularly, to an electromagnetic contactor for star-delta driving, which is capable of rapidly and safely switching a connection of a 3-phase motor from a star connection to a delta connection and simplifying configurations of a connection circuit and an opening/closing device. According to the electromagnetic contactor for star-delta driving and a control device thereof of the present invention, the connection of the 3-phase motor can be switched rapidly and safely from the star connection to the delta connection, and the configuration of the connection circuit and a control circuit of a power supply thereof and a magnetic switch configuration can be simplified, and thus, there is an effect of saving space by reducing the size and weight of a product and reducing the numbers of power wirings and control circuit wirings.

Abstract: Disclosed is a composition for ameliorating, preventing or treating an autoimmune skin disease, containing a super pink (Dianthus superbus L.) extract as an active ingredient.

Abstract: A method for load balancing in a base station is provided. The base station updates a traffic amount of a current time by reflecting a predicted traffic amount of a future time in the traffic amount of the current time, and determines parameters necessary for load balancing of the base station by comparing the updated traffic amount of the current time with a predetermined threshold.

Abstract: There is provided a method of providing information about prognosis after cardiac arrest. The method includes the steps of: calculating biological information based on a signal relating to a hemoglobin concentration measured from a cerebral region of a subject to be measured; and providing the information about the prognosis after cardiac arrest of the subject with reference to the calculated biological information and a biomarker relating to the prognosis after cardiac arrest measured from a blood of the subject.

Abstract: Disclosed is a composition for use in preventing, alleviating, or treating psoriasis containing cimicifugolide A as an active ingredient.