Abstract: An unlocking method and an intelligent lock based on vein input and identification. The method includes steps of obtaining positional information of a target part, adjusting a position of the target part to be within a preset position-identification range, inputting a vein image of the target part to be within the position-identification range, where the vein image includes a first vein image and a second vein image; processing the input first vein image to obtain a first vein feature of the first vein image, constructing a feature map based on the first vein feature; processing the input second vein image to obtain a second vein feature of the second vein image, comparing the second vein feature with the first vein feature of the feature map to obtain a comparison result, and determining an unlocking state based on the comparison result.

Abstract: A method for simultaneously separating and purifying myricetin-3-O-(2?-O-galloyl)-a-L-rhamnoside and myricetin-3-O-(4?-O-galloyl)-a-L-rhamnoside from Bayberry leaves, and the use of the compounds prepared by the method. The method includes: (1) alcohol extraction and concentration: mixing Bayberry leaves with an alcohol solution; (2) solid-phase extraction column adsorption: injecting the crude Bayberry leaf flavonol alcohol extract into a solid-phase extraction column; washing with a mobile phase for the first gradient elution; (3) preparative liquid chromatography purification: using a solid-phase chromatography column; wherein the solid-phase extraction powder obtained from step (2) is subjected to a second gradient elution with a mobile phase and then processed to obtain the target products: myricetin-3-O-(2?-galloyl)-?-L-rhamnoside monomer and myricetin-3-O-(4?-galloyl)-?-L-rhamnoside monomer.

Abstract: The present disclosure discloses a robot system and method for monitoring farmland nitrogen leaching. The robot system includes a cloud platform, a monitoring robot, and a leachate collection module. The cloud platform is configured to send information about a to-be-measured site and a to-be-measured depth to the monitoring robot and receive measurement information of the monitoring robot; and the monitoring robot is configured to move to the to-be-measured site to be connected to the leachate collection module at the to-be-measured depth of the to-be-measured site, extract a leachate of the leachate collection module, perform leachate nitrogen detection on the leachate, and send a leachate nitrogen detection result to the cloud platform.

Abstract: The present disclosure relates to training method and apparatus for an object recognition model. There provides a training sample optimization apparatus for a neural network model for object recognition, comprising: for each training sample in a training sample database, a fluctuation determination unit configured to determine a fluctuation of model prediction of the training sample relative to a corresponding labeled identity of the training sample in a case of training the neural network model; and an optimization unit configured to determine whether the training sample can be used for training of the neural network model in the next training epoch, based on the fluctuation of the training sample.

Abstract: A thermal lens set includes an imaging lens group including an inner lens group and an outer lens group. The outer lens group includes at least one outer lens element. A heater is used to heat the imaging lens group and includes at least two portions. One of the at least two portions is in direct contact with the imaging lens group. A lens barrel is used to accommodate another one of the at least two portions.

Abstract: The present invention relates to microparticles that can be used as drug-loaded hydrogel particles for embolization and a method for manufacturing same. The microparticles of the present invention have a very excellent anticancer agent adsorption ability, a short anticancer agent adsorption time, and a controllable decomposition time when administered in vivo. Therefore, when the microparticles of the present invention are used in chemoembolization, not only the anticancer effect is excellent, but also side effects can be minimized.

Abstract: Disclosed herein are a polypeptide having cephalosporin C(CPC) acylase activity and a use thereof. More specifically, a mutant CPC acylase comprising a point mutation introduced thereinto, thereby exhibiting improved enzymatic activity and/or stability, and a use of the mutant CPC acylase for producing 7-aminocephalosporanic acid (7-ACA), are provided.

Abstract: The present invention relates to method and apparatus for training a neural network for object recognition. A training method which includes inputting a training image set containing an object to be recognized, dividing the image samples in the training image set into simple samples and hard samples, for each kind of the image sample and the variation image sample, performing, a transitive transfer, calculating a distillation loss of the transferred student feature of the image sample relative to a teacher feature extracted from corresponding image sample of the other kind, classifying, the image sample, and calculating a classification loss of the image sample, calculating a total loss related to the training image set, and updating parameters of the neural network according to the calculated total loss.

Abstract: The present invention relates to: an amorphous of spherical embolisation hydrogel having a degradation time that can be precisely controlled in blood vessels; and a preparation method therefor.

Abstract: The present invention relates to a method for moderately increasing the content of dimethyl disulfide in casein-containing processed cheese. The method includes the following steps: taking a cheese powder, adding chymosin for enzymolysis, and subjecting a material obtained after the enzymolysis to puffing and drying to obtain a modified cheese powder; preparing materials; taking the modified cheese powder, heating the modified cheese powder under stirring until the cheese powder is melt, adding sodium bicarbonate to adjust the pH to 6-7, and adding papain for enzymolysis; taking a material obtained after the enzymolysis, adding butter, a skimmed milk powder, fructo-oligosaccharide and water for mixing by stirring, and then adding an emulsifying salt, glutamine transaminase and salt for uniform heating and stirring to obtain a mixture; and subjecting the mixture to heat treatment, hot filling and cooling in sequence to obtain processed cheese.

Abstract: The present disclosure relates to use of an oxymethyl-modified derivative of quercetin in preparation of a drug for inhibiting tumor cell proliferation, and belongs to the technical field of drug preparation. The present disclosure provides use of an oxymethyl-modified derivative of quercetin in preparation of a drug for inhibiting tumor cell proliferation. The oxymethyl-modified derivative of quercetin may inhibit tumor cell proliferation, inhibit proliferation of a transplanted tumor in vivo, inhibit tumor cell metastasis, and induce tumor cell apoptosis.

Abstract: Disclosed herein are a microorganism with excellent deacetoxycephalosporin C (DAOC) productivity and a use thereof. A mutant microorganism with improved DAOC productivity and a use thereof for producing 7-aminodeacetoxycephalosporanic acid (7-ADCA) are provided.

Abstract: A modified cutinase is disclosed. The cutinase has the modified amino acid sequence of SEQ ID NO: 2, wherein the modification is a substitution of asparagine at position 181 with alanine, or substitutions of asparagine at position 181 with alanine and phenylalanine at position 235 with leucine. The modified enzyme has improved PET-hydrolytic activity, and thus, the high-activity PET hydrolase is obtained, and the industrial application value of the PET hydrolase is enhanced.

Abstract: The present invention relates to a method for moderately increasing the content of dimethyl disulfide in casein-containing processed cheese. The method includes the following steps: taking a cheese powder, adding chymosin for enzymolysis, and subjecting a material obtained after the enzymolysis to puffing and drying to obtain a modified cheese powder; preparing materials; taking the modified cheese powder, heating the modified cheese powder under stirring until the cheese powder is melt, adding sodium bicarbonate to adjust the pH to 6-7, and adding papain for enzymolysis; taking a material obtained after the enzymolysis, adding butter, a skimmed milk powder, fructo-oligosaccharide and water for mixing by stirring, and then adding an emulsifying salt, glutamine transaminase and salt for uniform heating and stirring to obtain a mixture; and subjecting the mixture to heat treatment, hot filling and cooling in sequence to obtain processed cheese.

Abstract: A display panel, a display device, and a driving method thereof are provided. A light-reflecting layer is disposed under a light-emitting layer of the display panel. When the display panel is under strong light, the light-emitting layer does not work, and the light-reflecting layer reflects natural light to achieve a full-color display. When the display panel is in low light or darkness, the light-emitting layer works, and the light-reflecting layer reflects the light emitted by the light-emitting layer to reduce a working intensity of the light-emitting layer and achieves the full-color display, thereby improving service life and visual effect of organic light emitting diodes (OLEDs).

Abstract: A method for event-triggered distributed reinforcement learning for unit commitment optimization and dispatch to solve the waste problem of unit resources includes obtaining a unit commitment optimization and dispatch model, constructing a fixed action set under preset constraint conditions, and selecting optimal power of each unit; transforming constraint conditions into projection constraints, and projecting the virtual generation power to a corresponding constraint range, to obtain actual generation power of each unit within the constraint range; calculating corresponding rewards based on cost under actual generation power of each unit without bandwidth constraints, and updating local Q values of each unit in a Q table according to Q-learning algorithms, to obtain an optimal action of each unit without bandwidth constraints; and under the constraint conditions of considering bandwidths, obtaining an optimal solution, meeting limited bandwidth constraint conditions, to the unit commitment optimization and d