Abstract: The present invention relates to a method of solidifying radioactive waste containing boron, The method includes (a) mixing the radioactive waste, metakaolin, fumed silica, potassium hydroxide, and water to generate a second mixture, in which the radioactive waste contains boron.

Abstract: Disclosed herein are a video decoding method and apparatus and a video encoding method and apparatus. In video encoding and decoding, multiple partition blocks are generated by splitting a target block. A prediction mode is derived for at least a part of the multiple partition blocks, among the multiple partition blocks, and prediction is performed on the multiple partition blocks based on the derived prediction mode. When prediction is performed on the partition blocks, information related to the target block may be used, and information related to an additional partition block, which is predicted prior to the partition block, may be used.

Abstract: An exemplary semiconductor device can comprise (a) a substrate comprising a substrate dielectric structure between the substrate top side and the substrate bottom side, conductive pads at the substrate bottom side, and a substrate cavity through the substrate dielectric structure, (b) a base electronic component comprising inner short bumps; outer short bumps bounding a perimeter around the inner short bumps, and tall bumps between the outer short bumps and an edge of the base component top side, and (c) a mounted electronic component coupled to the inner short bumps of the base electronic component. The tall bumps of the base component can be coupled to the conductive pads of the substrate. The mounted electronic component can be located in the substrate cavity. The substrate bottom side can cover at least a portion of the outer short bumps of the base electronic component. Other examples and related methods are disclosed herein.

Abstract: Disclosed herein are a video decoding method and apparatus and a video encoding method and apparatus. In video encoding and decoding, multiple partition blocks are generated by splitting a target block. A prediction mode is derived for at least a part of the multiple partition blocks, among the multiple partition blocks, and prediction is performed on the multiple partition blocks based on the derived prediction mode. When prediction is performed on the partition blocks, information related to the target block may be used, and information related to an additional partition block, which is predicted prior to the partition block, may be used.

Abstract: A novel use of granulocyte colony-stimulating factor, also known as colony-stimulating factor 3 (CSF3) is disclosed. An anticancer adjuvant containing an inhibitor of CSF3 is disclosed. Uses of CSF3 as a biomarker or therapeutic target for pulmonary fibrosis are disclosed. In addition, A pharmaceutical composition for treating pulmonary fibrosis containing an inhibitor of CSF3 and a treatment method of pulmonary fibrosis are disclosed.

Abstract: Provided are a system and method for estimating a location of a forest fire. The system for estimating the location of the forest fire may include an artificial intelligence-based forest fire detection module that detects a forest fire from a captured image using an artificial intelligence model; a monitoring camera configured to monitor a predetermined area; a direction estimation module configured to estimate a direction of the forest fire on a map, using a forest fire detection image provided from the artificial intelligence-based forest fire detection module and data of the monitoring camera; and a location estimation module configured to estimate the location of the forest fire, using an altitude map table configured to provide altitude of a corresponding location from latitude and longitude of the monitoring camera, based on the estimated direction of the forest fire.

Abstract: Provided are a forest fire detection system and method capable of determining whether events. The forest fire detection system includes an artificial intelligence-based forest fire detection module configured to detect a forest fire from a captured image using an artificial intelligence model; a monitoring camera configured to monitor a predetermined area; a direction estimation module configured to estimate a direction of the forest fire on a map, using a plurality of forest fire detection images provided from the artificial intelligence-based forest fire detection module and data of the monitoring camera; and a same event determination module configured to determine whether events represented by the plurality of forest fire detection images are the same, based on the estimated direction of the forest fire.