Abstract: A method of manufacturing a semiconductor device includes: forming a pattern formation material layer on a substrate; forming a photoresist on the pattern formation material layer; exposing and developing the photoresist to form a photoresist pattern; performing a first deionized water cleaning on the photoresist pattern; cleaning the photoresist pattern with a cleaning solution including a surfactant; and performing a second deionized water cleaning on the photoresist pattern.

Abstract: A coupled torsion beam axle (CTBA) bushing is press-fitted into a bushing bracket provided at a tip of a trailing arm at each of two opposite sides of a CTBA suspension system. In particular, the CTBA bushing includes: an outer pipe including a through-hole formed therein; an inner pipe positioned in the through-hole; and a bushing rubber disposed in the through-hole and positioned between an outer peripheral surface of the inner pipe and an inner peripheral surface of the outer pipe, in which the bushing rubber includes: first compounds extending in a first direction, which is a diameter direction of the inner pipe, with the inner pipe interposed therebetween; and a second compounds integrated with the first compounds and extending in a second direction, which is perpendicular to the first direction, with the inner pipe interposed therebetween.

Abstract: An electronic device is disclosed, including: a display, a processor, and a memory operatively connected to the processor, the memory storing instructions and a plurality of applications installed in the electronic device, wherein the instructions, which when executed, cause the processor to: identify states for each of the plurality of applications, the states each including one of an enabled state, a sleep state, or a disabled state, wherein applications in the sleep state are grouped into a first application group, and applications in the disabled state are grouped into a second application group, execute a first application to display a first field, a second field, and a third field including a selectable object via the display, and based on a first user input selecting the selectable object, re-identity the states of each of the plurality of applications to update the first application group and the second application group.

Abstract: An apparatus is for unsupervised domain adaptation for allowing a deep learning model with supervised learning on a source domain completed to be subjected to unsupervised domain adaptation to a target domain. The apparatus includes a first learning unit to perform a forward pass by inputting a pair (xsi, ysi) of first data xsi of the source domain and a label ysi for each of the first data and second data xTj belonging to the target domain, and insert a dropout following a Bernoulli distribution into the deep learning model in performing the forward pass, and a second learning unit to perform a back propagation to minimize uncertainty about the learning parameter of the deep learning model by using a predicted value for each class output through the forward pass and the label ysi, and an uncertainty vector for the second data xTj output through the forward pass as inputs.

Abstract: A coupled torsion beam axle (CTBA) bushing is press-fitted into a bushing bracket provided at a tip of a trailing arm at each of two opposite sides of a CTBA suspension system. In particular, the CTBA bushing includes: an outer pipe including a through-hole formed therein; an inner pipe positioned in the through-hole; and a bushing rubber disposed in the through-hole and positioned between an outer peripheral surface of the inner pipe and an inner peripheral surface of the outer pipe, in which the bushing rubber includes: first compounds extending in a first direction, which is a diameter direction of the inner pipe, with the inner pipe interposed therebetween; and a second compounds integrated with the first compounds and extending in a second direction, which is perpendicular to the first direction, with the inner pipe interposed therebetween.

Abstract: A separator including a porous base and a coating layer on at least one surface of the porous base, the coating layer including (a) a carbon nanotube including an oxygen functional group and (b) a lithium ion conducting polymer, and a lithium-sulfur battery including the same. Such a separator may be capable of resolving problems caused by lithium polysulfide occurring in a lithium-sulfur battery.

Abstract: A separator in which at least one surface of a porous base is coated with a coating layer including partially-reduced graphene oxide and a lithium ion conducting polymer, and thereby capable of resolving problems caused by lithium polysulfide occurring in a lithium secondary battery, and a lithium secondary battery including the same.

Abstract: A display device including a lower substrate, a display structure, pad electrodes, and a driver integrated circuit. The lower substrate has a display area and a pad area. The display structure is disposed in the display area on the lower substrate. The pad electrodes are disposed in the pad area on the lower substrate while being spaced apart from each other in a first direction. The driver integrated circuit is spaced apart from the pad electrodes in the second direction in the pad area on the lower substrate, and includes a circuit portion and a first blocking portion spaced apart from the circuit portion in a second direction perpendicular to the first direction.

Abstract: An image classification apparatus includes an image segmentation module configured to segment a learning image into a plurality of segment images, a primary classification module configured to perform machine learning on a primary classifier using the plurality of segment images, and a secondary classification module configured to calculate a weight value combination for creating a secondary classification estimation value for the learning image from a plurality of primary classification estimation values generated by passing the plurality of segment images to the trained primary classifier, or a machine learning-based learning parameter.

Abstract: A separator in which at least one side of a porous substrate has thereon a coating layer containing a partially reduced graphene oxide with a sheet shape and a lithium ion conductivity polymer, which can solve the problem caused by the lithium polysulfide which occurs in the conventional lithium secondary battery, and a lithium secondary battery.

Abstract: A display device and an electronic control unit are included in a vehicle. A graphical user interface of the display device is configured to display a graphic display object. The electronic control unit is configured to receive an orientation signal of a vehicle element. The orientation signal includes information about at least one of a position and an orientation of the vehicle element being in at least one of a first element position and a first element orientation. The electronic control unit is configured to adjust a position of the graphical user interface as a function of, or based on, the orientation signal, such that a position of the graphical user interface relative to the vehicle element is within a predefined tolerance.

Abstract: A separator capable of simultaneously solving the problems caused by lithium polysulfide and lithium dendrite generated in a conventional lithium-sulfur battery wherein the separator includes a porous substrate coated with graphene oxide and boron nitride on at least one side, and a lithium-sulfur battery including the same.

Abstract: A lithium electrode and a lithium secondary battery including the same, and in particular, to a lithium electrode including a lithium metal layer; and a surface treatment layer formed on the lithium metal layer, wherein the surface treatment layer includes a surface treatment compound including a functional group capable of bonding with lithium metal and a hydrocarbon group substituted with one or more fluorine. By being provided with a surface treatment layer including a specific functional group, the lithium electrode improves stability of lithium metal as well as suppressing side reactions on the surface, and thereby allows high capacity, high stability and long lifetime of a lithium secondary battery.

Abstract: A display device including a lower substrate, a display structure, pad electrodes, and a driver integrated circuit. The lower substrate has a display area and a pad area. The display structure is disposed in the display area on the lower substrate. The pad electrodes are disposed in the pad area on the lower substrate while being spaced apart from each other in a first direction. The driver integrated circuit is spaced apart from the pad electrodes in the second direction in the pad area on the lower substrate, and includes a circuit portion and a first blocking portion spaced apart from the circuit portion in a second direction perpendicular to the first direction.

Abstract: A separator capable of simultaneously solving the problems caused by lithium polysulfides and lithium dendrites generated in a conventional lithium-sulfur battery wherein the separator includes a porous substrate alternately laminated with a graphene oxide layer and a boron nitride layer on at least one side thereof, and to a lithium-sulfur battery including the same.

Abstract: A separator including a porous base and a coating layer on at least one surface of the porous base, the coating layer including (a) a carbon nanotube including an oxygen functional group and (b) a lithium ion conducting polymer, and a lithium-sulfur battery including the same. Such a separator may be capable of resolving problems caused by lithium polysulfide occurring in a lithium-sulfur battery.

Abstract: An apparatus is for unsupervised domain adaptation for allowing a deep learning model with supervised learning on a source domain completed to be subjected to unsupervised domain adaptation to a target domain. The apparatus includes a first learning unit to perform a forward pass by inputting a pair (xsi, ysi) of first data xsi of the source domain and a label ysi for each of the first data and second data xTj belonging to the target domain, and insert a dropout following a Bernoulli distribution into the deep learning model in performing the forward pass, and a second learning unit to perform a back propagation to minimize uncertainty about the learning parameter of the deep learning model by using a predicted value for each class output through the forward pass and the label ysi, and an uncertainty vector for the second data xTj output through the forward pass as inputs.

Abstract: A negative electrode for a lithium secondary battery including a lithium metal layer and a carbon-based layer on at least one surface of the lithium metal layer, the carbon-based layer including porous carbon materials aligned in one direction and oriented horizontally with reference to the lithium metal layer and a lithium secondary battery including the same.

Abstract: A glaucoma diagnosis apparatus according to an embodiment includes a fundus image processor configured to receive a fundus image and extract a first region of interest (ROI) and a second ROI from the received fundus image, an image classification neural network configured to learn the extracted first ROI and perform classification into a normal fundus image and a glaucoma fundus image on the basis of the learned first ROI, a vertical cup-to-disc ratio (vCDR) calculator configured to recognize an optic disc (OD) and an optic cup (OC) from the extracted second ROI and calculate a vCDR, and a determinator configured to aggregate a vCDR calculation result and an image classification result of the image classification neural network to determine whether glaucoma is present in the fundus image.

Abstract: A separator for a lithium-sulfur battery and a lithium-sulfur battery including the same is provided. More particularly, a separator for a lithium-sulfur battery including a porous substrate; and a coating layer present on at least one surface of the porous substrate, wherein the coating layer includes a polymer and a graphitic carbon-based compound, wherein the polymer includes a main chain with a functional group having a non-covalent electron pair present in the main chain and a side chain with an aromatic hydrocarbon group present in the side chain.