Abstract: The present invention relates to a compound for use in detecting “reader” and “eraser” proteins of lysine lipoylation. The present invention provides an affinity-based probe, referred to herein as “KPlip”, capable of interrogating the lipoylated peptide/protein interactions under native cellular environments. The chemical probe allows for the identification of potential regulators of lysine lipoylation, thus uncovering new biology related to lipoylation. There is also provided a method of using the compound to identifying proteins that interact with lipoylated proteins.

Abstract: A fire engine including a vehicle frame, a liquid nitrogen storage tank, a liquid nitrogen conveying pipeline, a gasification device, a plurality of electric valves, a water pipe adapter, a liquid nitrogen spray gun, and a mixed spray gun. The liquid nitrogen conveying pipeline includes a first pipeline and a second pipeline. The first pipeline connects the lower part of the liquid nitrogen storage tank, the gasification device, and the upper part of the liquid nitrogen storage tank sequentially in that order. The second pipeline connects the liquid nitrogen storage tank, an input end of the liquid nitrogen spray gun, and a first input end of the mixed spray gun. The mixed spray gun includes a first input end, a second input end, a liquid nitrogen nozzle, and a spray pipe. The spray pipe includes a contraction section, an expansion section, and an acceleration section.

Abstract: Aspects of the disclosure provide a training method and device for an image enhancement model and a storage medium. The method can include inputting each training input image group into the image enhancement model to obtain a predicted image output by the image enhancement model, and training the image enhancement model until convergence through each loss function respectively corresponding to each training pair. Each loss function can include a plurality of gray scale loss components corresponding to a plurality of frequency intervals one to one, and each gray scale loss component is determined based on a difference between a gray scale frequency division image of each predicted image and a gray scale frequency division image of the corresponding target image in each frequency interval, and different gray scale loss components correspond to different frequency intervals.

Abstract: A training method for an image denoising model that can include collecting multiple sample image groups through a shooting device, each sample image group including multiple frames of sample images with a same photographic sensitivity and sample images in different sample image groups having different photographic sensitivities.

Abstract: Embodiments provide one write operation circuit, which includes: a serial-to-parallel conversion circuit that performs serial-to-parallel conversion on a first DBI data of a DBI port to generate a second DBI data for transfer by a DBI signal line, and that generates an input data of a data buffer module depending on the second DBI data; a data buffer module that determines whether to flip a global bus depending on the input data of the data buffer module; the DBI decoding module that decodes a global bus data according to the second DBI data, and writes the decoded data into a memory bank, where decoding includes determining whether to flip the global bus data; and a precharge module that is coupled to a precharge signal line and that sets the initial state of the global bus to high.

Abstract: A product defect detection method, device and system are disclosed. The product defect detection method comprises: constructing a defect detection framework including a classification network, a locating detection network and a judgment network; training the classification network by using a sample image of a product containing different defect types to obtain a classification network capable of classifying the defect types existing in the sample image; training the locating detection network by using a sample image of a product containing different defect types to obtain a locating detection network capable of locating a position of each type of defect in the sample image; inputting an acquired product image into the defect detection framework, inputting a classification result and a detection result obtained into the judgment network to judge whether the product has a defect, and detecting a defect type and a defect position when the product has a defect.

Abstract: The present disclosure describes ultrasound systems configured to enhance flow imaging and analysis by adaptively adjusting one or more imaging parameters in response to acquired flow measurements. Example systems can include an ultrasound transducer and one or more processors. Using the system components, mean flow velocity magnitude and acceleration can be determined within a target region during an acquisition phase, which may include a cardiac cycle. One or more adjusted flow imaging parameters, such as adjusted ensemble length, temporal smoothing filter length and/or step size, can be determined based on the acquired flow measurements to increase the signal quality of newly acquired ultrasound echo signals. The adjusted flow imaging parameters can then be applied by the ultrasound transducer during a second acquisition phase.

Abstract: A method for training a fusion ordering model, a search ordering method, an electronic device and a storage medium, and related to the technical field of artificial intelligence such as deep learning and the like are provided. The method includes: inputting prediction scores of a plurality of targets included in a candidate search result into a fusion ordering model, to obtain a fusion ordering result; collecting feedback information of the plurality of targets included in the fusion ordering result; and updating the fusion ordering model by utilizing the feedback information and a combined function, wherein the combined function is a function constructed by utilizing the plurality of targets. The solution of the embodiment is favorable for balancing the requirements of the plurality of targets, and the obtained updated fusion ordering model can provide a better search ordering result.

Abstract: A receptacle connector for mating with a plug connector having a mating tongue and a latch thereof, includes an insulative housing defining a mating slot extending along a longitudinal direction to receive the mating tongue of the plug connector, and an outer metallic shield defining an upper space to receive the latch of the plug connector, and a lower space communicatively below the upper space to receive the housing. A plurality of contacts are disposed in the housing to mechanically and electrically connect to the mating tongue. An inner metallic shield is attached upon the upper wall of the housing to separate the upper space and the lower space from each other in a vertical direction.

Abstract: A display device and a driving method are provided. The display device includes a display panel and a control IC. The display panel includes a plurality of light-emitting elements. The control IC is configured to control the plurality of light-emitting elements to be turned on at a first frequency so as to display display-related data, and control at least two light-emitting elements of the plurality of light-emitting elements to be turned on and off at a second frequency greater than the first frequency so as to transmit visible light data.

Abstract: A computed tomography (CT) imaging system is provided. The CT imaging system includes a gantry, rotatable about an axis of rotation. The CT imaging system also includes a table configured to move a subject to be imaged into and out of a bore of the gantry. The CT imaging system further includes a radiation source mounted on the gantry and configured to emit an X-ray beam. The CT imaging system even further includes one or more detectors configured to detect the emitted X-ray beam, wherein the one or more detectors comprises a flat panel detector disposed within the table, wherein the table is configured to move the flat panel detector into and out of the bore. The CT imaging system is configured to generate a two-dimensional image of the subject utilizing the radiation source and the flat panel detector.

Abstract: Some embodiments of the present disclosure provide a hybrid power coupling mechanism and a vehicle. The hybrid power coupling mechanism includes an engine, a first output shaft, a generator, a driving motor, and a differential mechanism, wherein a rotating shaft of the engine is connected to an input shaft of the generator through the first output shaft, and an input shaft of the driving motor connected to the differential mechanism in a speed-reducing manner through a planetary gear set. The vehicle includes a power storage battery, a motor controller and the foregoing hybrid power coupling mechanism. The problems of power interruption and high cost in mode switching of a hybrid power coupling mechanism of the existing vehicle are solved. The engine and, the generator operate in an extended range mode, and the driving motor is decelerated by the planetary gear set and inputs power to the differential mechanism.

Abstract: The disclosed embodiments provide a system for performing a natural language search. During operation, the system applies a first machine learning model to a natural language query to predict one or more search intentions associated with the natural language query. Next, the system applies a second machine learning model to the natural language query to produce one or more search parameters associated with a first intention in the search intention(s), wherein the search parameter(s) include a field and a value of the field. The system then performs a first search of a first vertical associated with the first intention using the search parameter(s). Finally, the system generates a ranking containing a first set of search results from the first search of the first vertical and outputs at least a portion of the ranking in a response to the natural language query.

Abstract: The present disclosure provides a drawer-type carrying device for an accelerator and an cabin structure for the accelerator, the drawer-type carrying device for the accelerator includes a frame mechanism and a drawing mechanism. The frame mechanism is used for installing the accelerator; the drawing mechanism is connected with the frame mechanism and the frame mechanism is movable relative to the drawing mechanism. The cabin structure for the accelerator includes a cabin, a shielding mechanism and a drawer-type carrying device for the accelerator. The cabin has a working area and a maintenance area. The shielding mechanism is disposed in the working area and has a side opening door facing towards the maintenance area. The frame mechanism is capable of drawn from the shielding mechanism into the maintenance area when the side opening door is opened.

Abstract: Novel antibodies, such as single domain antibodies (sdAbs), or fragments thereof that specifically bind a transferrin are described. Compositions, methods and systems for increasing the half-life of a target protein in a serum using an antibody or fragment thereof against a transferrin are described.

Abstract: Embodiments of wireless audio systems and methods for wirelessly communicating audio information are disclosed herein. In one example, wireless transceiver includes a first antenna, a second antenna, and a radio frequency (RF) module. The first antenna and second antenna are configured to establish communication links with an audio source and another wireless transceiver. The RF module is configured to receive audio information from the audio source based on a first communication link using the first antenna and the second antenna and receive audio play information from the another wireless transceiver based on a second communication link using the first antenna and the second antenna. A data transmission proportion of the first communication link allocated between the first antenna and the second antenna is dynamically adjusted based on qualities of data communicated by the first antenna and the second antenna through the first transmission link.

Abstract: The present disclosure provides a printing mask and a method of printing an adhesive pattern with the printing mask. The printing mask includes: a screen including: an annular permeable region through which an adhesive permeates; and a barrier region which surrounds the annular permeable region and stops a permeation of the adhesive through the barrier region, the annular permeable region including an adjustment sub-region configured to increase a permeability of the adhesive, and the barrier region including barrier sub-regions respectively located on an inner side and an outer side of the corresponding adjustment sub-region; a first film covering a side of the barrier region; and a second film covering sides of the barrier sub-regions facing away from the first film.

Abstract: A network device inputs first network status information of the network device in a first time period to an ECN inference model, to obtain an inference result that is output by the ECN inference model based on the first network status information. Then, the network device sends an ECN parameter sample to an analysis device that manages the network device, where the ECN parameter sample includes the first network status information and a target ECN configuration parameter corresponding to the first network status information, and the target ECN configuration parameter is obtained based on the inference result. The network device receives an updated ECN inference model sent by the analysis device.

Abstract: The present invention provides a novel method for determining a long-chain non-coding ribonucleic acid interaction protein. The present invention provides a fusion protein formed by BASU and dCasRx, a mammalian expression vector for expressing said fusion protein. The method for determining the lncRNA interaction protein according to the present invention comprises: co-transfecting a mammalian expression vector that expresses the fusion protein and a gRNA that specifically targets the target lncRNA into target cells, thereby BASU specifically biotin-labeling effector proteins nearby; isolating the biotinylated proteins by using a streptavidin affinity coupled magnetic bead and then eluting, and digesting by trypsin and quantitatively analyzing by a label-free mass spectrometry. The present invention can highly credibly determine the proteins that interact with lncRNA.

Abstract: Disclosed are a backlight module, a control method therefor and a display device, a driving method therefor. A backlight source is divided into light-emitting areas, and a current control circuit for driving the light-emitting area to emit light is configured for each light-emitting area. The light-emitting areas in the backlight module are arranged in one-to-one correspondence to the current control circuits.