Abstract: A continuous liquid level sensing system utilizing projected capacitance includes: a liquid contact layer, which has at least one surface for contacting a liquid and separates the liquid to generate a space that is dry; and a projected capacitance unit being disposed in the space and having a first capacitance value that is preset, wherein the projected capacitance unit does not directly contact the liquid, and the projected capacitance unit contacts the liquid contact layer, wherein when the liquid contact layer changes a preset electric field of the projected capacitance unit after contacting the liquid, the first capacitance value is changed to a second capacitance value; and a control device calculating a liquid level height of the liquid according to a change between the first capacitance value and the second capacitance value.

Abstract: Disclosed is a method for removing impurity mercury from crude selenium. The method includes: mixing a vulcanizing agent with a crude selenium slag that is crushed to not more than 200 mesh uniformly, and performing briquetting to obtain a mixed material; adding the mixed material into a sealed furnace, and subjecting the mixed material to vulcanization by heating under an inert atmosphere to obtain a vulcanized selenium; subjecting the vulcanized selenium to primary vacuum distillation, such that selenium is converted into a gas phase and collected in a form of a volatile, and generated mercury sulfide and valuable elements are enriched in a resulting residue; and subjecting the selenium to secondary distillation to further remove mercury.

Abstract: A light source system includes a light source, a light splitting and combining assembly, a scattering assembly, and a light homogenizing element. The light source is configured for generating laser light which includes a first color light and a second color light. The light splitting and combining assembly is configured to combine the laser light to form a combined light beam. The scattering assembly is configured to scatter and homogenize the combined light beam. The scattering assembly includes a first scattering element and a second scattering element, and the first scattering element and the second scattering element are separately positioned. The light homogenizing element is located between the scattering assembly and the light splitting and combining assembly or behind the scattering assembly or between the first scattering element and the second scattering element.

Abstract: The present application provides a display panel including an array substrate, a pixel definition layer, and a color film layer. The pixel definition layer is disposed on the array substrate. The color film layer is disposed on a side of the pixel definition layer away from the array substrate and includes a light shielding layer. At least one surface of the light shielding layer in the thickness direction of the light shielding layer is provided with a first concave-convex structure.

Abstract: The disclosure provides a method configured for assisting a user in caring for a plant, including: acquiring a plant species in response to a request for analyzing a caring situation submitted by the user and outputting caring-related questions to the user, so as to determine a user caring plan through answers to the questions from the user; determining a reference caring plan according to the plant species; determining a mistake in the user caring plan based on a difference between the user caring plan and the reference caring plan; and outputting prompt information related to plant caring to the user based on the mistake. A device configured for assisting a user in caring for a plant is also provided.

Abstract: A handwritten content removing method and device and a storage medium. The handwritten content removing method comprises: acquiring an input image of a text page to be processed, the input image comprising a handwritten region, which comprises a handwritten content (S10); identifying the input image so as to determine the handwritten content in the handwritten region (S11); and removing the handwritten content in the input image so as to obtain an output image (S12).

Abstract: Provided are a method for loading a nucleic acid molecule, for example nucleic acid nanoball (e.g., DNA nanoball (DNB)), on a solid support, and a kit for the method.

Abstract: The disclosure provides an answer correction method and a device, including: determining the target test paper that matches the test paper to be corrected; marking the area of each answer in the test paper to be corrected as the first answer set, and marking the area of each answer in the target test paper as the second answer set; matching each answer area in the first answer set and the second answer set, and adjusting the position of the answer area in the first answer set on the test paper to be corrected; for each answer area in the second answer set, determining the target answer area in the first answer set according to the position information of the answer area on the target test paper, and correcting the answer in the determined target answer area according to the answer in the answer area. The disclosure can solve the problem in the related art that the accurate position of the answer filled by the student cannot be identified, thereby affecting the correction of the answer.

Abstract: Disclosed in the present disclosure are an object recognition processing method, a processing apparatus, an electronic device, and a non-transitory computer-readable storage medium. The method includes: obtaining an object to be recognized; recognizing a type of said object on the basis of a type recognition model; determining a processing rule corresponding to said object; in response to the fact that the type of said object is a basic type, taking said object as a target object to be recognized, and in response to the fact that the type of said object is a non-basic type, transforming said object by means of a transformer learning model, so as to transform said object into the target object to be recognized; and performing, by means of the transformer learning model, recognition processing on the target object to be recognized to obtain a target result corresponding to the target object to be recognized.

Abstract: The present disclosure provides a question correction method and device for oral calculation questions. The feature vector of the question to be searched is obtained according to the content of token in the stem of each question to be searched, and then the feature vector of each question to be searched is used to search for the target test paper that matches the test paper to be searched in the question bank. For the question to be searched in the form of oral calculation question, a second search is performed in the target test paper based on the feature vector of the question, and the search criterion is the minimum shortest editing distance.