Abstract: The present invention discloses a digestive system pathology image recognition method and system, and a computer storage medium. The method includes: acquiring image data to be detected; constructing and loading a first learning model, and executing regional traversal prediction on the image data, so as to obtain a plurality of predicted probability values; performing screening to obtain sub-region image data, which meets a preset assessment condition, so as to form an intermediate feature sequence; and constructing and loading a second learning model, executing traversal prediction on the intermediate feature sequence, and generating and outputting pieces of predicted sub-region image data and final probability values of the pieces of predicted sub-region image data.

Abstract: Systems and methods of monitoring inventory of a product storage facility include an image capture device configured to move about the product storage areas of the product storage facility and capture images of the product storage areas from various angles. A computing device coupled to the image capture device obtains the images of the product storage areas captured by the image capture device and processes the obtained images of the product storage areas to detect individual products captured in the obtained images. Based on detection of the individual products captured in the images, the computing device analyzes each of the obtained images to extract meta data from the packaging the individual products to detect one more keywords and determine the locations of the detected keywords on the packaging, and then utilize this information to predict an identity of the products associated with the packaging.

Abstract: An electronic atomization device includes: an outer shell; and an inner shell provided in the outer shell. The inner shell includes a liquid storage cup and a battery compartment arranged side by side and independent of each other. A battery and a light strip are provided in the battery compartment. The battery is configured to supply power to the light strip. At least part of the outer shell and at least part of the battery compartment are made of a light-transmitting material.

Abstract: Various electric balance vehicles are described. In some embodiments, the vehicle has first and second pedal housings to support a respective foot of a user. The first and second pedal housings can be rotatable relative to each other. The vehicle can have first and second wheel assemblies. An axle can extend substantially between the wheel assemblies. In some embodiments, one pedal housing rotates relative to the axle and one housing is rotationally fixed relative to the housing. The vehicle can balance and provide locomotion to the user.

Abstract: A method for preparing 1,3-propanediol with a high space-time yield, in which A methyl 3-hydroxypropionate solution is pumped into a tubular fixed-bed reactor loaded with a surface modifier-coated nano-Cu-based catalyst for continuous hydrogenation to obtain a reaction mixture, where the catalyst includes Cu as active component, a metal oxide XOn/2 as additive and a SiO2—SnO2 composite carrier. The reaction mixture is subjected to rectification to separate light components from heavy components, where the light components include methanol, n-propanol, methyl propionate, methyl 3-hydroxypropionate and 1,3-propanediol, and the heavy components include 1,3-propanediol mono-propionate and 1,3-propanediol mono-3-hydroxypropionate. The heavy components are fed back to the tubular fixed-bed reactor for secondary hydrogenation, and the light components are separated to obtain 1,3-propanediol.

Abstract: Various ridable karts for users are described. The ridable kart can include a kart body, a cover body, a rear caster wheel, a steering assembly, a battery, and a controller. The kart body can include an installation slot. The controller and the battery can be secured within the installation slot. The steering assembly can include a front wheel and a steering wheel. The front wheel can include a hub motor arrangement.

Abstract: Various electric balance vehicles are described. In some embodiments, the vehicle has first and second pedal housings to support a respective foot of a user. The first and second pedal housings can be rotatable relative to each other. The vehicle can have first and second wheel assemblies. An axle can extend substantially between the wheel assemblies. In some embodiments, one pedal housing rotates relative to the axle and one housing is rotationally fixed relative to the housing. The vehicle can balance and provide locomotion to the user.

Abstract: The present invention provides a deep learning-based cancer prognosis survival prediction method and a device, and a storage medium. The method includes: data acquisition: acquiring sample data, where the sample data comprising pathological image data and clinical data of a sample; data preprocessing; prediction model training: training and evaluating a prediction model to obtain an optimal prediction model; and risk prediction: performing risk prediction on a new sample on the basis of an optimal classifier model and the optimal prediction model. In the method, data features of the pathological image data and clinical data are unified, the prediction model is trained and evaluated to obtain the optimal prediction model, and prognosis risk evaluation is performed on the new sample to enhance the efficiency of diagnosis and treatment in the clinical field and improve the accuracy of risk evaluation results.

Abstract: Embodiments of the present disclosure provide a pixel value mapping method, including: determining a to-be-processed image and a mapping table corresponding to the to-be-processed image; performing a table lookup on pixel values of multiple pixels in the to-be-processed image according to the mapping table in parallel to obtain mapped values each corresponding to a pixel of the multiple pixels; and determining a mapped image corresponding to the to-be-processed image according to the mapped values obtained based on the table lookup.

Abstract: Embodiments of the present disclosure are directed to a heat exchanger system that includes a conduit configured to flow a working fluid therethrough, where the conduit has a first portion, a second portion, and a bend directly coupling the first portion and the second portion, where the first portion includes a first header connection, the second portion includes a second header connection, and the bend is distal to the first header connection and the second header connection and a support plate coupled to the bend and positioned between the first portion and the second portion of the conduit.

Abstract: A stimulated Raman scattering tomography system includes means for generating a first input light beam, means for generating a second input light beam, an objective, a condenser and a detector. The first input light beam is phase-modulated while the second input light beam is amplitude-modulated. The objective is configured to direct the first and second input light beams onto a sample. The condenser is configured to collect an output light beam from the sample. The is detector configured to detect at least a portion of the output light beam corresponding to the first input light beam. The system further includes means for forming a depth-resolved image of the sample from the detected portion of the output light beam.

Abstract: The present invention discloses a method, device and medium for structuring a capsule endoscopy report text. The method includes: annotating the report text using an annotation model; storing each named entity classification label in the report text in a hierarchical tree structure according to the annotation information to form a tree structure diagram; parsing the tree structure diagram, extracting abnormal structure data and time parameters, and storing the abnormal structure data and time parameters in a panel data structured manner to form an abnormal structure panel table and a time parameter panel table. The present invention can automatically annotate the capsule endoscopy report through the annotation model, and output parameters of different amount of information in different structures, and quantitative and accurate quality control of the capsule endoscopy process and examination results, which provide sufficient convenience for the electronic medical information of the capsule endoscopy.

Abstract: A leakage quick-detection device for drainage pipes comprises an operating rod assembly, a development module and a probe assembly. The development module comprises a receiving shell. A development board is fixedly connected into the receiving shell. A receiving and transmitting antenna is fixedly connected to the receiving shell and is electrically connected to the development board. The probe assembly comprises a composite platform. Four threaded through-holes are vertically and regularly formed in the composite platform. The change of water flow and water quality can be quickly reflected by ultrasonic data, conductivity data and flow data; compared with a traditional visual detection method, the detection dimensions are richer, the working time of personnel is shortened, more water flow information can be obtained, the labor intensity is reduced, and the troubleshooting accuracy is improved.

Abstract: Various ridable karts for users are described. The ridable kart can include a kart body, a cover body, a rear caster wheel, a steering assembly, a battery, and a controller. The kart body can include an installation slot. The controller and the battery can be secured within the installation slot. The steering assembly can include a front wheel and a steering wheel. The front wheel can include a hub motor arrangement.

Abstract: Systems and methods of monitoring inventory of a product storage facility include an image capture device configured to move about the product storage areas of the product storage facility and capture images of the product storage areas from various angles. A computing device coupled to the image capture device obtains the images of the product storage areas captured by the image capture device and processes the obtained images of the product storage areas to detect individual products captured in the obtained images. Based on detection of the individual products captured in the images, the computing device analyzes each of the obtained images to extract meta data from the packaging the individual products to detect one more keywords and determine the locations of the detected keywords on the packaging, and then utilize this information to predict an identity of the products associated with the packaging.

Abstract: A capsule endoscope image recognition method based on deep learning, and a device and a medium is provided. After a plurality of frames of continuously captured images are processed to form an image sequence of a specific format, multi-channel recognition is performed on the plurality of frames of images by means of a 3D convolutional neural network model, and a recognition result is then output in combination with a recognition probability of each channel, such that the image recognition precision is improved.

Abstract: A referenceless image evaluation method for a capsule endoscope, an electronic device, and a medium. The method comprises: acquiring image quality evaluation scores and image content evaluation scores corresponding to respective original images; and determining, according to weights of the image content evaluation scores and weights of the image quality evaluation scores, a comprehensive score for each image currently being evaluated. The referenceless image evaluation method for a capsule endoscope employs various evaluation models to evaluate the image quality and content of a number of original images taken in the same detection region. The results of these evaluations are then combined to produce comprehensive scores for the numerous original images of the same region. Through the comprehensive scores, high-quality images can be quickly screened out, and thus the screening of the original images can be accelerated and the identification accuracy be improved.

Abstract: A method for stitching images of a capsule endoscope, an electronic device, and a readable storage medium are provided. The method comprises: performing image rectification and circular edge masking on original images to form pre-processed images, and performing image enhancement (S1); completing detection and pairing of feature points (S2); calculating a transformation model of all pre-processed images to a same optimal plane according to a set of the feature points (S3); performing projective transformation for each enhanced image to a same coordinate system (S4); and stitching images according to an obtained sequence to form a fused image for output (S5), thus expanding the field of view of a single image of the capsule endoscope.

Abstract: The present disclosure relates generally to air intake filter assemblies, and more particularly to air intake assemblies for an outdoor portion of a heating, ventilation, and/or air conditioning (HVAC) system. In an embodiment, a filter assembly is configured to filter an airflow entering an air intake of a HVAC unit. The filter assembly includes a first layer of a first coarse mesh, a second layer of a second coarse mesh, and a fine filter disposed between the first layer and the second layer. Additionally, the fine filter includes an upper level and a lower level with respect to the airflow, and wherein the lower level facilitates accumulation of fine debris captured from the airflow entering the air intake of the HVAC unit.

Abstract: The present invention discloses a capsule endoscope system, a method of identifying stained area in endoscopic images, and a computer readable storage medium. The method comprises: obtaining a basic image taken by a photographing device; removing abnormal pixels from the basic image and recording it as a processed image; obtaining the hue, saturation and value of each pixel in the processed image of HSV format; setting a first condition that the hue is in a D1 range, the saturation is in a D2 range, and the value is in a D3 range; obtaining the b component of each pixel in the processed image of Lab format; setting a second condition that the b component is in a D4 range; collecting and processing the pixels that meet the first condition and/or the second condition to form a set C; calculating the initial range area S1 of the set C.