Abstract: A substrate processing device. The device comprises: a first source supply unit; a second source supply unit; a first supply line for connecting the first source supply unit to a spraying unit; a second supply line for connecting the second source supply unit to the spraying unit; a mixing unit provided at the first supply line to be arranged between the first source supply unit and the spraying unit; a first connection line for connecting the second supply line to the first supply line and/or the mixing unit; and a first path change unit provided at a first connection point at which the first connection line is connected to the second supply line, wherein the first path change unit changes the flow path of a second source gas supplied from the second source supply unit.

Abstract: Disclosed are a composition and a method for diagnosing breast cancer using extracellular vesicle-miRNA. The composition for diagnosing the breast cancer according includes an agent that measures an expression level of at least one miRNA selected from a group consisting of miR-9, MiR-16, MiR-21, and MiR-429. Furthermore, the method for diagnosing breast cancer includes measuring an expression level of at least one miRNA selected from a group consisting of MiR-9, MiR-16, MiR-21, and MiR-429 from a sample, and diagnosing the breast cancer based on the measurement result.

Abstract: Systems and methods for image compositing are provided. An aspect of the systems and methods includes obtaining a first image and a second image, wherein the first image includes a target location and the second image includes a target element; encoding the second image using an image encoder to obtain an image embedding; generating a descriptive embedding based on the image embedding using an adapter network; and generating a composite image based on the descriptive embedding and the first image using an image generation model, wherein the composite image depicts the target element from the second image at the target location of the first image.

Abstract: The present disclosure relates to the composition and process for the production of an ultra-strong, biocompatible, electroconductive, and stretchable hydrogel, which comprises: a step (a) of physical or chemical modification of natural polymers e.g., preparation of silk nanofiber and double methacrylation of gelatin; a step (b) of graphene oxide (GO) carboxylation; a step (c) of carbodiimidation between methacrylated natural polymers of step (a) and carboxylated GO of step (b); and a step (d) of three dimensional (3D) bioprinting of step (c) with/without silk nanofiber. It was found that these steps in this disclosure give rise to a biocompatible hydrogel with high mechanical strength in the range of load-bearing soft tissue such as tendon and heart as opposed to conventional hydrogels.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing to synthesize shadows for object(s). For instance, in one or more embodiments, the disclosed systems receive a digital image depicting a scene. The disclosed systems access an object mask of the object depicting in the digital image. The disclosed systems further combine the object mask, the digital image, and a noise representation to generate a combined representation. Moreover, the disclosed systems generate a shadow for the object from the combined representation and further generates the modified digital image by combining the shadow with the digital image.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that provides a graphical user interface experience to move objects and generate new shadows within a digital image scene. For instance, in one or more embodiments, the disclosed systems receive a digital image depicting a scene. The disclosed systems receive a selection to position an object in a first location within the scene. Further, the disclosed systems composite an image by placing the object at the first location within the scene of the digital image. Moreover, the disclosed systems generate a modified digital image having a shadow of the object where the shadow is consistent with the scene and provides the modified digital image to the client device.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing to remove a shadow for an object. For instance, in one or more embodiments, the disclosed systems receive a digital image depicting a scene. The disclosed systems access a shadow mask of the shadow in a first location. Further, the disclosed systems generate the modified digital image without the shadow by generating a fill for the first location that preserves a visible location of the first location. Moreover, the disclosed systems generate the digital image without the shadow for the object by combining the fill with the digital image.

Abstract: An integrated circuit device includes a fin-type active region protruding from a top surface of a substrate and extending in a first direction parallel to the top surface of the substrate, a gate structure intersecting with the fin-type active region and extending on the substrate in a second direction perpendicular to the first direction, a source/drain region on a first side of the gate structure, a first contact structure on the source/drain region, and a contact capping layer on the first contact structure. A top surface of the first contact structure has a first width in the first direction, a bottom surface of the contact capping layer has a second width greater than the first width stated above in the first direction, and the contact capping layer includes a protruding portion extending outward from a sidewall of the first contact structure.

Abstract: The present disclosure relates to the composition and process for the production of an ultra-strong, biocompatible, electroconductive, and stretchable hydrogel, which comprises: a step (a) of physical or chemical modification of natural polymers e.g., preparation of silk nanofiber and double methacrylation of gelatin; a step (b) of graphene oxide (GO) carboxylation; a step (c) of carbodiimidation between methacrylated natural polymers of step (a) and carboxylated GO of step (b); and a step (d) of three dimensional (3D) bioprinting of step (c) with/without silk nanofiber. It was found that these steps in this disclosure give rise to a biocompatible hydrogel with high mechanical strength in the range of load-bearing soft tissue such as tendon and heart as opposed to conventional hydrogels.

Abstract: In this invention, we propose a convolutional neural network (CNN) based architecture designed for the ITM to HDR consumer displays, called ITM-CNN, and its training strategy for enhancing the performance based on image decomposition using the guided filter. We demonstrate the benefits of decomposing the image by experimenting with various architectures and also compare the performance for different training strategies. To the best of our knowledge, this invention first presents the ITM problem using CNNs for HDR consumer displays, where the network is trained to restore lost details and local contrast. Our ITM-CNN can readily up-convert LDR images for direct viewing on an HDR consumer medium, and is a very powerful means to solve the lack of HDR video contents with legacy LDR videos.

Abstract: A method includes receiving an input image. The input image corresponds to one or more masked regions to be inpainted. The method includes providing the input image to a first neural network. The first neural network outputs a first inpainted image at a first resolution, and the one or more masked regions are inpainted in the first inpainted image. The method includes creating a second inpainted image by increasing a resolution of the first inpainted image from the first resolution to a second resolution. The second resolution is greater than the first resolution such that the one or more inpainted masked regions have an increased resolution. The method includes providing the second inpainted image to a second neural network. The second neural network outputs a first refined inpainted image at the second resolution, and the first refined inpainted image is a refined version of the second inpainted image.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing machine learning models to generate refined depth maps of digital images utilizing digital segmentation masks. In particular, in one or more embodiments, the disclosed systems generate a depth map for a digital image utilizing a depth estimation machine learning model, determine a digital segmentation mask for the digital image, and generate a refined depth map from the depth map and the digital segmentation mask utilizing a depth refinement machine learning model. In some embodiments, the disclosed systems generate first and second intermediate depth maps using the digital segmentation mask and an inverse digital segmentation mask and merger the first and second intermediate depth maps to generate the refined depth map.

Abstract: An integrated circuit device includes a fin-type active region protruding from a top surface of a substrate and extending in a first direction parallel to the top surface of the substrate, a gate structure intersecting with the fin-type active region and extending on the substrate in a second direction perpendicular to the first direction, a source/drain region on a first side of the gate structure, a first contact structure on the source/drain region, and a contact capping layer on the first contact structure. A top surface of the first contact structure has a first width in the first direction, a bottom surface of the contact capping layer has a second width greater than the first width stated above in the first direction, and the contact capping layer includes a protruding portion extending outward from a sidewall of the first contact structure.

Abstract: An integrated circuit device includes a fin-type active region protruding from a top surface of a substrate and extending in a first direction parallel to the top surface of the substrate, a gate structure intersecting with the fin-type active region and extending on the substrate in a second direction perpendicular to the first direction, a source/drain region on a first side of the gate structure, a first contact structure on the source/drain region, and a contact capping layer on the first contact structure. A top surface of the first contact structure has a first width in the first direction, a bottom surface of the contact capping layer has a second width greater than the first width stated above in the first direction, and the contact capping layer includes a protruding portion extending outward from a sidewall of the first contact structure.

Abstract: In this invention, we propose a convolutional neural network (CNN) based architecture designed for the ITM to HDR consumer displays, called ITM-CNN, and its training strategy for enhancing the performance based on image decomposition using the guided filter. We demonstrate the benefits of decomposing the image by experimenting with various architectures and also compare the performance for different training strategies. To the best of our knowledge, this invention first presents the ITM problem using CNNs for HDR consumer displays, where the network is trained to restore lost details and local contrast. Our ITM-CNN can readily up-convert LDR images for direct viewing on an HDR consumer medium, and is a very powerful means to solve the lack of HDR video contents with legacy LDR videos.

Abstract: An integrated circuit device includes a fin-type active region protruding from a top surface of a substrate and extending in a first direction parallel to the top surface of the substrate, a gate structure intersecting with the fin-type active region and extending on the substrate in a second direction perpendicular to the first direction, a source/drain region on a first side of the gate structure, a first contact structure on the source/drain region, and a contact capping layer on the first contact structure. A top surface of the first contact structure has a first width in the first direction, a bottom surface of the contact capping layer has a second width greater than the first width stated above in the first direction, and the contact capping layer includes a protruding portion extending outward from a sidewall of the first contact structure.

Abstract: An integrated circuit device includes a fin-type active region protruding from a top surface of a substrate and extending in a first direction parallel to the top surface of the substrate, a gate structure intersecting with the fin-type active region and extending on the substrate in a second direction perpendicular to the first direction, a source/drain region on a first side of the gate structure, a first contact structure on the source/drain region, and a contact capping layer on the first contact structure. A top surface of the first contact structure has a first width in the first direction, a bottom surface of the contact capping layer has a second width greater than the first width stated above in the first direction, and the contact capping layer includes a protruding portion extending outward from a sidewall of the first contact structure.

Abstract: Inverse tone mapping (ITM) aims at generating a single high dynamic range (HDR) image from a low dynamic range (LDR) image. While ITM was frequently used for graphics rendering in the HDR space, the advent of HDR consumer displays (e.g., HDR TV) and the consequent need for HDR multimedia contents open up new horizons for the consumption of ultra-high quality video contents. However, due to the lack of HDR-filmed contents, the legacy LDR videos must be up-converted for viewing on these HDR displays. Unfortunately, the previous ITM methods are not appropriate for HDR consumer displays, and their inverse-tone-mapped results are not visually pleasing with noise amplification or lack of details. In this paper, we propose a convolutional neural network (CNN) based architecture designed for the ITM to HDR consumer displays, called ITM-CNN, and its training strategy for enhancing the performance based on image decomposition using the guided filter.

Abstract: A semiconductor device includes a substrate, a plurality of gate electrodes extending in a first direction parallel to an upper surface of a substrate on the substrate, and alternately arranged with an interlayer insulating layer in a second direction perpendicular to the upper surface of the substrate, a vertical channel layer on a sidewall of a vertical channel hole extending in the second direction by penetrating through the plurality of gate electrodes and the interlayer insulating layer, and connected to the upper surface of the substrate, and a first gap-fill insulating layer formed in the vertical channel hole and including an outer wall contacting the vertical channel layer and an inner wall opposite the outer wall, wherein a part of the inner wall forms a striation extending in the second direction.

Abstract: An integrated circuit device includes a fin-type active region protruding from a top surface of a substrate and extending in a first direction parallel to the top surface of the substrate, a gate structure intersecting with the fin-type active region and extending on the substrate in a second direction perpendicular to the first direction, a source/drain region on a first side of the gate structure, a first contact structure on the source/drain region, and a contact capping layer on the first contact structure. A top surface of the first contact structure has a first width in the first direction, a bottom surface of the contact capping layer has a second width greater than the first width stated above in the first direction, and the contact capping layer includes a protruding portion extending outward from a sidewall of the first contact structure.