Abstract: The present application relates to a fragrance atomization and diffusion device convenient for replacing a fragrance liquid container. The fragrance atomization and diffusion device convenient for replacing a fragrance liquid container comprises a housing, an atomization mechanism, a bottom cover and a top cover respectively located at two ends of the housing and enclosing a chamber, a bracket fixedly mounted within the chamber, a gas supply assembly and a power supply assembly, the atomization mechanism, the gas supply assembly and the power supply assembly each mounted at the bracket; the bracket is provided along the vertical direction with a mount cavity for mounting the atomization mechanism, an end of which extends through the top cover; and the atomization mechanism comprises an atomization head and a liquid storage bottle connected to the atomization head. The present application has the advantage of convenient addition of a fragrance liquid.

Abstract: According to one embodiment, a method, computer system, and computer program product for generating anchors and selecting feature maps for a multi-scale object detection program based on analysis of the dataset is provided. The present invention may include generating a scale distribution of one or more scales of ground-truth objects, and, based on the scale distribution, dividing the effective scale range into a number of anchors greater than zero; furthermore, the invention may include generating a ratio distribution of ratios of the ground-truth objects; based on the ratio distribution, generating a ratio for at least one of the number of anchors; determining a template scale of one or more feature maps; and assigning the number of anchors to the feature maps based on the relative size of a scale of an anchor matching the relative size of a template scale of a feature map.

Abstract: A light-emitting device includes a substrate, multiple light-emitting units that are disposed on the substrate, that are spaced apart by an isolation trench and that are and electrically interconnected by an interconnecting structure, and an insulating layer with thickness of 200 nm to 450 nm. A potential difference between adjacent two light-emitting units not in direct electrical connection is at least two times forward voltage of each of the light-emitting units. Each light-emitting unit includes a light-emitting stack and a light-transmissible current spreading layer. The insulating layer covers the light-transmissible current spreading layers and at least a part of the light-emitting stacks.

Abstract: A computer-implemented method for attention generation is provided. In this method, a plurality of image frames can be obtained from a video stream. An original attention for a first image frame of the plurality of image frames can be generated. Then, at least one interested area can be identified in the first image frame. A local attention for each of the at least one interested area can be generated. Moreover, a total attention for the first image frame can be generated based on the original attention of the first image frame and the local attention of each of the at least one interested area.

Abstract: A method can include obtaining, from a video having a first resolution, a set of frames having a second resolution. The first resolution can be higher than the second resolution. The set of frames can include a first frame and a second frame. The method can include generating a difference feature map. The method can include obtaining a third frame having the first resolution. The method can include detecting, based on the difference feature map, a first location of a first object in the third frame. The method can include cropping, from the third frame, a first cropped area. The first cropped area can be smaller than a third frame area. The method can include generating, based on a feature map and the difference feature map, a spatial attention layer. The method can include detecting, by the spatial attention layer, the first object in the first cropped area.

Abstract: The present application provides compounds, compositions and methods to reduce, alleviate or treat various enteric diseases and disorders, such as inflammatory bowel disease. The compounds are xyloglucan-containing prodrugs, referred to herein as glyco-caged prodrugs, of formula (I) or (II), xyloglucan-?-O—RD (I), xyloglucan-?-O-LSI-RD (II).

Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: obtaining a target neural network structure and constraints for a target neural network; generating a meta learning network having an associated quantization function based, at least in part, on the target neural network structure; training the meta learning network based, at least in part, on providing a hybrid quantization vector as input to the meta learning network and providing a training dataset to the target neural network; obtaining a plurality of hybrid quantization vectors; determining a new hybrid quantization vector from the plurality of hybrid quantization vectors; and retraining the trained meta learning network based, at least in part, on providing the new hybrid quantization vector as input to the trained meta learning network.

Abstract: Embodiments of the invention are directed to a computer-implemented method that includes using a reinforcement learning (RL) system to generate a first set of displayed region candidates based on inputs received from online users while watching video. A recommendation system is used to rank the first set of displayed region candidates based on inputs received from a local user watching video. The recommendation system is further used to select a first highest ranked one of the first set of displayed region candidates. Based on the first highest ranked one of the first set of displayed region candidates, a first section of a first raw video frame is fetched that matches the first highest ranked one of the first set of displayed candidate regions, wherein the first section of the first raw video frame includes a first predicted display region of the video frame.

Abstract: A computing device for diffusion dictionary imaging (DDI) of microstructure and inflammation of a patient is provided. The DDI computing device is connected to other computing devices, such as a magnetic resonance imaging (MRI) scanner. The DDI computing device receives magnetic resonance (MR) signals from the MRI scanner. Once received, the DDI computing device records the one or more MR signals to a memory device. The DDI computing device computationally processes the one or more MR signals to reconstruct a diffusion MRI image using diffusion dictionary data. The MR signals include values that are used as input to algorithms of the DDI data to reconstruct the diffusion MRI image. A database is used to store DDI data, artificial intelligence (AI) data, diffusion dictionary data, and MR data.

Abstract: In an approach to linking operational data with issues, a new event is received. The new event is associated to a story, where the story is related to an identified problem within the system, and further where the new event is associated with the story using machine learning techniques. The story is associated to related change requests based on a similarity between the story and related change requests, where the similarity between the story and the related change requests is associated using the machine learning techniques. A cost is calculated for the story. Responsive to associating the new event with a specific change request, the priority of the specific change request is updated based on the cost for the story.

Abstract: The present invention provides a novel pan-RAF kinase inhibitor, comprising a compound of formula (I) or a pharmaceutically acceptable salt, solvate, ester, acid, metabolite or prodrug thereof. The present invention also provides a use or method of the compound of formula (I) in the treatment or prevention of a disorder related to the activity of RAF and/or RAS kinase.

Abstract: Provided herein are friction reducer formulations including a formate salt and an inverting surfactant, and methods of manufacturing such formulations. Methods of using the friction reducer formulations, such as for treating subterranean formations, are also provided.

Abstract: Provided are a display substrate and a preparation method thereof, and a display device. The display substrate includes a base substrate, a light-emitting element disposed on the base substrate, and an encapsulation layer disposed on the light-emitting element, the display substrate further comprises a driving circuit connected with the light-emitting element and configured to drive the light-emitting element, the driving circuit comprises a driving transistor which comprises an active layer located inside the base substrate; the encapsulation layer comprises a first gradient layer and a second gradient layer stacked along a direction away from the base substrate, a content of oxygen element in the first gradient layer gradually decreases, and a content of carbon element in the second gradient layer gradually increases along the direction away from the base substrate.

Abstract: A mechanism is provided to implement a trained machine learning computer model for determining z-wise lesion connectivity. The mechanism identifies, for a given slice in a three-dimensional medical image, a first lesion in the given slice and a second lesion in an adjacent slice in the three-dimensional medical image. The mechanism determines a first intersect value between the first lesion and the second lesion with respect to the first lesion and determines a second intersect value between the first lesion and the second lesion with respect to the second lesion. The mechanism determines whether the first lesion and the second lesion belong to the same three-dimensional lesion based on the first and second intersect values.

Abstract: A mechanism is provided for seed relabeling for seed-based slice-wise lesion segmentation. The mechanism receives a lesion mask for a three-dimensional medical image volume. The lesion mask corresponds to detected lesions in the medical image volume and wherein each detected lesion has a lesion contour. The mechanism generates a distance map for a given two-dimensional slice in the medical image volume based on the lesion mask. The distance map comprises a distance to a lesion contour for each voxel of the given two-dimensional slice. The mechanism performs local maxima identification to select a set of local maxima from the distance map such that each local maximum has a value greater than its immediate neighbor points. The mechanism performs seed relabeling based on the distance map and the set of local maxima to generate a set of seeds. Each seed represents a center of a distinct component of a lesion contour.

Abstract: A lesion detection and classification artificial intelligence (AI) pipeline comprising a plurality of trained machine learning (ML) computer models is provided. First ML model(s) process an input volume of medical images (VOI) to determine whether VOI depicts a predetermined amount of an anatomical structure. The AI pipeline determines whether criteria, such as a predetermined amount of an anatomical structure of interest being depicted in the input volume, are satisfied by output of the first ML model(s). If so, lesion processing operations are performed including: second ML modal(s) processing the VOI to detect lesions which correspond to the anatomical structure of interest; third ML model(s) performing lesion segmentation and combining of lesion contours associated with a same lesion; and fourth ML models processing the listing of lesions to classify the lesions. The AI pipeline outputs the listing of lesions and the classifications for downstream computing system processing.

Abstract: Provided are a display substrate and a manufacturing method thereof, and a display apparatus. The display substrate includes: a display area and a peripheral area surrounding the display area. The display substrate includes: a base substrate, and a light emitting structure layer, a color filter layer, a first flat layer and an optical layer disposed on the base substrate; the color filter layer is located on one side of the light emitting structure layer away from the base substrate, the first flat layer is located on one side of the color filter layer away from the base substrate, and the optical layer is located on one side of the first flat layer away from the base substrate and is configured to collect light emitted from the color filter layer.

Abstract: A mechanism is provided in a data processing system for refining lesion contours with combined active contour and inpainting. The mechanism receives an initial segmented medical image having organ tissue including a set of object contours and a contour to be refined. The mechanism inpaints object voxels inside all contours of the set. The mechanism calculates an updated contour around the contour to be refined based on the in-painted object voxels to form an updated segmented medical image. The mechanism determines whether the updated segmented medical image is improved compared to the initial segmented medical image. The mechanism keeps the updated segmented medical image responsive to the updated segmented medical image being improved.

Abstract: Provided are a method for controlling an oxygen provider and a portable device. The method includes: acquiring measurement data at a patient side; determining an oxygen demand volume and an output pattern of an oxygen provider based on the acquired measurement data and a desired oxygen fraction ratio; and controlling the oxygen provider with the oxygen demand volume and the output pattern. With the method or device for controlling an oxygen provider, oxygen with an amount that actually needed by a patient is provided to produce the blended gas to be delivered to the patient, and the blended gas delivered to the patient are regulated according to the output pattern to guarantee the blended gas is delivered in synchronization with the inspiration of the patient, so that a therapeutic effect is achieved with a lower oxygen consumption amount.

Abstract: Disclosed are a display panel, a manufacturing method thereof, and a display device. The display panel includes a base substrate and sub-pixels thereon. At least one sub-pixel includes: a light emitting element including a first electrode, a luminous functional layer and a second electrode sequentially stacked, the first electrode being closer to the base substrate than the second electrode; a metal reflective layer, between the base substrate and the first electrode; a silicon nitride layer, between the first electrode and the metal reflective layer, and including a first via hole through which the first electrode is connected with the metal reflective layer; a driving circuit including a driving transistor and a storage capacitor between the base substrate and the metal reflective layer, the driving transistor including a gate electrode connected with the storage capacitor, and source and drain electrodes, one of which is connected with the metal reflective layer.