3results about How to "Small variation" patented technology

The invention relates to the technical field of batteries, in particular to a negative electrode material preparation method based on a negative electrode aged hard carbon material, which comprises the following steps: firstly, crushing and grading an aged hard carbon precursor to obtain particles with a preset particle size; the preparation method comprises the following steps: performing pretreatment such as acid washing, alkali washing, water washing and ethanol washing, mixing a purified precursor with a coating material in proportion to form a uniform coating layer, pre-sintering in a protective atmosphere, and preliminarily stabilizing a material structure by controlling parameters such as a heating rate; and carrying out specific surface area detection on the pre-sintered primary product, and dynamically adjusting pre-sintering process parameters according to the specific surface area detection to ensure that the pore structure of the material reaches the standard. And performing high-temperature carbonization treatment on the material meeting the standard so as to repair the carbon layer structure and improve the conductivity. And finally, performing quality judgment by detecting the first coulombic efficiency of a finished product. According to the invention, the first coulombic efficiency, the specific capacity and the cycling stability of the regenerated hard carbon material are improved, and the recycling of the aging material is realized.

This invention provides a method, apparatus, and system for correcting laser speckle contrast images, relating to the field of image processing technology. The method includes: acquiring multiple speckle images; determining a light intensity distribution map based on each speckle image; determining an original speckle contrast image of the target speckle image; determining a local light intensity variation coefficient map based on the light intensity distribution map, wherein each pixel in the local light intensity variation coefficient map represents the variation coefficient of pixel intensity in the neighborhood of the pixel in the light intensity distribution map; correcting the values ​​of corresponding pixels in the original speckle contrast image based on the values ​​of each pixel in the local light intensity variation coefficient map, obtaining and outputting a corrected speckle contrast image. Using this application can reduce the influence of uneven illumination on laser speckle images, resulting in more uniform brightness and accurate contrast in blood flow images, thereby improving the accuracy of blood flow velocity estimation.

The application relates to an oral squamous cell carcinoma auxiliary chemical immunotherapy response method and device, which comprises the following steps: acquiring image data and baseline clinical factors of a target user, the image data comprising metabolic parameters and image features of a tumor region; performing clinical parameter standardization processing on the metabolic parameters to obtain a standardized metabolic parameter set related to treatment response; performing stability screening on the image features by using an intragroup correlation coefficient to obtain key features related to treatment response; performing regression analysis on the baseline clinical factors to identify independent prognostic factors related to treatment response in the baseline clinical factors; and performing feature fusion on the standardized metabolic parameter set, the key features and the independent prognostic factors to obtain a response rate and a prognosis prediction result of the target user. The method can more accurately and comprehensively predict the response rate and the prognosis of the target user to the auxiliary chemical immunotherapy.