Abstract: The present disclosure provides a storage box and a vehicle. The storage box includes a box body, a box cover, and a cover opening structure. The cover opening structure is configured to guide the box cover to switch from a closed state to an opening state in which an accommodating cavity is opened, or guiding the box cover to switch from the opening state to the closed state. The cover opening structure for guiding the box cover to switch between the opening state and the closed state is disposed in the accommodating cavity such that the opening of the storage box is not affected by an external environment. Moreover, the cover opening structure does not occupy the original space of the vehicle such that the storage box is suitable for use in the vehicle.

Abstract: The present invention relates to pile foundations and provides an intelligent construction control method and system for jet grouting piles based on stratum information inversion. This method integrates multi-source sensing components and local transmission to perceive real-time drilling information to a data integration terminal. Using engineering soil layer data as training samples, a machine learning algorithm correlates perception information with geological conditions, judging and outputting stratum conditions in real time. An XGBoost model quickly and accurately identifies soil layers at the site. Based on big data matching of a cloud platform, an optimal construction parameter database is established, and the optimal combination of parameters is acquired through algorithm matching.

Abstract: A system and computer-implemented method for facilitating a user of a mobile device obtaining image data of damage to a vehicle for damage assessment includes capturing image data of a vehicle with the mobile device. The mobile device may include an orientation model for capturing the image data. The captured image data is analyzed, and a determination is made of the orientations of the images of the captured image data. In addition, a determination is made as to whether the captured image data can be used for the damage assessment. The captured image data may then be transmitted to a damage estimator computing device for estimating an amount of damage to the vehicle.

Abstract: A mixing chamber for use in a beverage carbonation system is provided. In one embodiment, the mixing chamber includes a housing, an agitator, a motor assembly and a rigid plate. A housing of the agitator and a housing of the motor assembly can each include a set of magnetics disposed therein and magnetically coupled so as to provide magnetic coupling between the motor assembly and the agitator. The mixing chamber is configured to receive a gas, such as carbon dioxide, and a liquid, such as water, to form a carbonated fluid. The carbonated fluid can be dispensed from the beverage carbonation system as a beverage.

Abstract: A mixing chamber for use in a beverage carbonation system is provided. In one embodiment, the carbonation mixing chamber includes a housing, a fluid inlet pathway, a gas inlet pathway, and an outlet pathway. The housing may have an inner chamber, and the fluid inlet pathway can be configured to extend into the inner chamber of the housing and receive fluid from a fluid source. The gas inlet pathway can be configured to extend into the inner chamber of the housing and can be configured to receive gas from a gas source. The gas inlet pathway can include a plurality of nozzles positioned within the inner chamber and configured to direct gas in a plurality of directions that differ from one another. The outlet pathway can be configured to dispense a mixture of fluid and gas from the inner chamber.

Abstract: A device and a method for measuring a rotation angle of a spherical hinge joint with a football-shaped structure are provided. The measuring device includes a driving electrode, and an induction electrode system. During measurement, the driving electrode and induction electrode system are both installed in a measured spherical hinge joint. The spherical hinge joint includes a ball socket base, and a ball head installed in the ball socket base. The driving electrode is fixed to the ball head. The induction electrode system includes multiple regular hexagonal spherical electrode plates, and one or more regular pentagonal spherical electrode plates. Five regular hexagonal spherical electrode plates are all arranged around any one regular pentagonal spherical electrode plate, respective regular hexagonal spherical electrode plates and respective regular pentagonal spherical electrode plate are assembled to form a spherical shell structure.

Abstract: A system and computer-implemented method for processing images of a damaged vehicle and estimating a repair cost of the damaged vehicle includes receiving image data of a vehicle from a user mobile device. The image data is processed to determine whether one or more parts of the damaged vehicle are damaged. In addition, one or more parts of the damaged vehicle are identified for repair and one or more parts of the damaged vehicle are identified for replacement. A cost associated for the repair of each of the one or more parts of the damaged vehicle for repair is estimated based on estimated repair cost data contained in a parts repair database. Moreover, a cost associated with the replacement of each of the one or more parts of the damaged vehicle for replacement is determined based on replacement cost data contained in a parts replacement database.

Abstract: A tacky agent-forming composition includes a polylactic acid structure-including monofunctional (meth)acrylic monomer, a polylactic acid structure-including polyfunctional (meth)acrylic monomer, and a polylactic acid structure-including non-functional compound. A content of the polylactic acid structure-including non-functional compound is 10% by mole or more.

Abstract: In a computer-implemented method and associated tangible non-transitory computer-readable medium, an image of a damaged vehicle may be analyzed to generate a repair estimate. A dataset populated with digital images of damaged vehicles and associated claim data may be used to train a deep learning neural network to learn damaged vehicle image characteristics that are predictive of claim data characteristics, and a predictive similarity model may be generated. Using the predictive similarity model, one or more similarity scores may be generated for a digital image of a newly damaged vehicle, indicating its similarity to one or more digital images of damaged vehicles with known damage level, repair time, and/or repair cost. A repair estimate may be generated for the newly damaged vehicle based on the claim data associated with images that are most similar to the image of the newly damaged vehicle.

Abstract: To provide a resin composition for three-dimensional shaping. The resin composition includes a polyfunctional urethane (meth) acrylate having a molecular weight of 700 or greater and 1,300 or less.

Abstract: A system and computer-implemented method for processing images of a damaged vehicle and estimating a repair cost of the damaged vehicle includes receiving image data of a vehicle from a user mobile device. The image data is processed to determine whether one or more parts of the damaged vehicle are damaged. In addition, one or more parts of the damaged vehicle are identified for repair and one or more parts of the damaged vehicle are identified for replacement. A cost associated for the repair of each of the one or more parts of the damaged vehicle for repair is estimated based on estimated repair cost data contained in a parts repair database. Moreover, a cost associated with the replacement of each of the one or more parts of the damaged vehicle for replacement is determined based on replacement cost data contained in a parts replacement database.

Abstract: A cleaning roller device is provided. The cleaning roller device comprises a transversely-arranged cleaning roller, a roller bearing device, and a roller driving device capable of driving the cleaning roller to rotate around the central axis of the cleaning roller on the roller bearing device, wherein a front-end central pipe and a rear-end central pipe are respectively arranged along the front-end central axis and the rear-end central axis of the cleaning roller and are respectively connected to rotary joints. The rotary joints are used for respectively connecting external pipelines communicated with a water source and a steam source; the front end of the cleaning roller is provided with a solid barrel fragment outlet and a barrel fragment outlet sealing cover, and the rear end of the cleaning roller is provided with a liquid outlet; a feed port is formed in the wall of the cleaning roller.

Abstract: Disclosed in the present invention are a processor micro-architecture, an SoC chip and a low-power-consumption intelligent device. The processor micro-architecture comprises a co-processor and at least two main processors, wherein each main processor is connected to the co-processor by means of a request processing unit; the request processing unit is used for determining, when a usage request that is initiated by the two main processors has been received, a processing sequence for the main processors that initiate the request, and generating and sending a feedback instruction to different main processors according to the processing sequence; and the main processor is used for sending a processing instruction to the co-processor for processing when the feedback instruction represents that usage is allowed. A plurality of main controllers access the same co-processor in a shared manner, thereby satisfying an instruction-level delay, and achieving the optimum balance between performance and power consumption.

Abstract: A mixing chamber for use in a beverage carbonation system is provided. In one embodiment, the carbonation mixing chamber includes a housing, a fluid inlet pathway, a gas inlet pathway, and an outlet pathway. The housing may have an inner chamber, and the fluid inlet pathway can be configured to extend into the inner chamber of the housing and receive fluid from a fluid source. The gas inlet pathway can be configured to extend into the inner chamber of the housing and can be configured to receive gas from a gas source. The gas inlet pathway can include a plurality of nozzles positioned within the inner chamber and configured to direct gas in a plurality of directions that differ from one another. The outlet pathway can be configured to dispense a mixture of fluid and gas from the inner chamber.

Abstract: In a computer-implemented method and associated tangible non-transitory computer-readable medium, an image of a damaged vehicle may be analyzed to generate a repair estimate. A dataset populated with digital images of damaged vehicles and associated claim data may be used to train a deep learning neural network to learn damaged vehicle image characteristics that are predictive of claim data characteristics, and a predictive similarity model may be generated. Using the predictive similarity model, one or more similarity scores may be generated for a digital image of a newly damaged vehicle, indicating its similarity to one or more digital images of damaged vehicles with known damage level, repair time, and/or repair cost. A repair estimate may be generated for the newly damaged vehicle based on the claim data associated with images that are most similar to the image of the newly damaged vehicle.

Abstract: A mixing chamber for use in a beverage carbonation system is provided. In one embodiment, the mixing chamber includes a housing, an agitator, a motor assembly and a rigid plate. A housing of the agitator and a housing of the motor assembly can each include a set of magnetics disposed therein and magnetically coupled so as to provide magnetic coupling between the motor assembly and the agitator. The mixing chamber is configured to receive a gas, such as carbon dioxide, and a liquid, such as water, to form a carbonated fluid. The carbonated fluid can be dispensed from the beverage carbonation system as a beverage.

Abstract: A vehicle interior component configured to provide an illuminated display/image and comprising a composite structure is disclosed. The component may comprise a cover providing a surface for the illuminated display/image and a substrate; the cover may comprise a cover layer, bottom layer and/or intermediate layer. The cover layer may comprise a surface layer and a base layer. The base layer and/or bottom layer may comprise a reinforcing layer. The surface layer, cover layer and/or base layer may comprise a pigment. The surface layer, cover layer and/or bottom layer may comprise a colorant (or pigment, dye, etc.). The bottom layer may comprise a pattern region comprising the image, a mask and/or light-blocking layer. The composite structure may comprise the cover, a functional layer, spacer/buffer layer, diffuser layer, sensor grid, capacitive sensor, textile and/or base/substrate. The cover surface may comprise a skin.

Abstract: The present application relates to an attenuated oncolytic virus strain, an oncolytic virus vaccine and a drug for treating tumors by combining the oncolytic virus vaccine with immune cells. The present application provides a new attenuated oncolytic virus strain by a site-directed mutation of a matrix protein M of a VSV wild-type virus. On the basis of the attenuated oncolytic virus strain, the present application further provides a vaccine that can be used in tumor treatment. On the basis of the vaccine, the present application further provide a drug that can effectively treat multiple kinds of tumors by combining the vaccine with immune cells.

Abstract: A system and computer-implemented method for classifying a level of vehicle damage includes receiving, at a remote server, captured image data of a vehicle from a user electronic device. The user electronic device has an orientation model configured to assist image capture. The image data is processed by the remote server using a damage assessment model. In addition, the remote server determines a classification for a level of damage to the vehicle based on the processed image data.

Abstract: In a computer-implemented method and associated tangible non-transitory computer-readable medium, an image of a damaged vehicle may be analyzed to generate a repair estimate. A dataset populated with digital images of damaged vehicles and associated claim data may be used to train a deep learning neural network to learn damaged vehicle image characteristics that are predictive of claim data characteristics, and a predictive similarity model may be generated. Using the predictive similarity model, one or more similarity scores may be generated for a digital image of a newly damaged vehicle, indicating its similarity to one or more digital images of damaged vehicles with known damage level, repair time, and/or repair cost. A repair estimate may be generated for the newly damaged vehicle based on the claim data associated with images that are most similar to the image of the newly damaged vehicle.