Abstract: A fluorescent material and a method of synthesizing thereof are provided. The fluorescent material includes a formula (1) as follows: formula (1), and Y is N or B; X1 and X2 are the same or different; X1 and X2 are selected from C or Si; R1, R2, R3, and R4 are the same or different; R1, R2, R3, and R4 are selected from a hydrogen atom, an alkyl group, an aromatic hydrocarbon group, or a heteroaryl group; R5, R6, R7, and R8 are the same or different; R5, R6, R7, and R8 are selected from an alkyl group, an aromatic hydrocarbon group, or a heteroaryl group; or R5 and R6 form a cyclic group; or R7 and Rs form a cyclic group.

Abstract: A concentration method and equipment. The concentration method includes the step of performing reverse osmosis concentration processing on raw milk by using a reverse osmosis membrane. The reverse osmosis concentration processing includes low-pressure reverse osmosis membrane concentration processing and high-pressure reverse osmosis membrane concentration processing, wherein in the low-pressure reverse osmosis membrane concentration processing, reverse osmosis concentration processing is performed on feeding materials by using a first predetermined pressure, and in the high-pressure reverse osmosis membrane concentration processing, the reverse osmosis concentration processing is performed on the feeding materials by using a second predetermined pressure, the first predetermined pressure being lower than the second predetermined pressure. The concentration equipment includes a temporary storage unit, a homogenizing unit, and a particular concentration unit.

Abstract: An information processing apparatus includes a processor to estimate an effect that a predetermined operation, directed to a user to prompt the user to execute a predetermined action, has on whether or not the user executes the action, and output a condition relating to the operation directed to the user, on the basis of the effect that is estimated.

Abstract: A display panel and manufacturing method thereof are provided. The display panel includes a substrate, a first electrode, a hole injection layer, a hole transport layer, an electron blocking layer, an organic electroluminescent layer, a hole blocking layer, an electron transport layer, an electron injection layer, and a second electrode arranged sequentially. The electron blocking layer corresponding to a green sub-pixel region of the organic electroluminescent layer is made of a p-type green light host material. Accordingly, the present invention effectively simplifies a manufacturing process, adjusts and balances charge carriers, and improves device performance.

Abstract: The present disclosure is related to systems and methods for image evaluation. The method may include obtaining an original image including a representation of at least one subject. The method may include generating a plurality of target positioning results for each of the at least one subject by inputting the original image into a prediction model. The prediction model may include a plurality of branches. Each of the plurality of target positioning results may correspond to a branch of the plurality of branches. The method may include determining an evaluation result corresponding to the original image based on the plurality of target positioning results.

Abstract: An information verification method based on a cloud security technology is provided. The method includes: obtaining key agreement data; transmitting, to a terminal device, key agreement data based on which encryption processing is performed on to-be-verified information for a target application by using a second random number and a public key and a first random number included in the key agreement data, to obtain to-be-verified ciphertext information; receiving the to-be-verified ciphertext information from the terminal device; performing decryption processing on the to-be-verified ciphertext information, to obtain a first information digest; matching the first information digest with a second information digest, to obtain an information verification result; and transmitting the information verification result to the terminal device.

Abstract: A method, computer program, and computer system for detecting and classifying atrial fibrillation by receiving data corresponding to an electrocardiogram (ECG) associated with a patient, extracting RR intervals from the received ECG data, determining previous RR intervals for each of the extracted RR intervals and aggregating features associated with the RR intervals and the previous RR intervals. Patterns associated with the aggregated features are classified, and the computer may determine that a sample of the ECG data corresponding to one or more of the classified patterns contains a pattern associated with atrial fibrillation.

Abstract: The present disclosure relates to systems and methods for generating a three-dimensional (3D) image. The method may include obtaining a target two-dimensional (2D) image of a subject; obtaining a 3D image generation model that includes a plurality of sequentially connected layers, at least one layer of which may include a down-sampling block, a connection block, and an up-sampling block; and determining a target 3D image of the subject by processing the target 2D image using the 3D image generation model. The down-sampling block may be configured to generate a plurality of 2D feature maps by coding an input of the down-sampling block. The connection block may be configured to generate at least one 3D feature map based on the plurality of 2D feature maps. The up-sampling block may be configured to generate at least one target 3D feature map by processing the at least one 3D feature map.

Abstract: A drill bit for cutting formation comprises a bit body, a plurality of cutters, a plurality of blades with pockets to accommodate the cutters respectively. Each of the plurality of cutters has an ultra-hard layer, two side facets extending obliquely inward from the substrate to a top surface of the ultra-hard layer, a convex portion between the two side facets. The convex portion comprises a transition surface and the transitional surface is convex as it extends between adjacent the two side facets. The curvature of the transitional surface varies along the cutter axis with the curvature at the cutting edge larger than the curvature of the cutter circumferential surface.

Abstract: One embodiment of the invention provides a method for speaker identity and content de-identification under privacy guarantees. The method comprises receiving input indicative of privacy protection levels to enforce, extracting features from a speech recorded in a voice recording, recognizing and extracting textual content from the speech, parsing the textual content to recognize privacy-sensitive personal information about an individual, generating de-identified textual content by anonymizing the personal information to an extent that satisfies the privacy protection levels and conceals the individual's identity, and mapping the de-identified textual content to a speaker who delivered the speech. The method further comprises generating a synthetic speaker identity based on other features that are dissimilar from the features to an extent that satisfies the privacy protection levels, and synthesizing a new speech waveform based on the synthetic speaker identity to deliver the de-identified textual content.

Abstract: Disclosed herein are methods and devices for cleaning a surface of a substrate having a layer of dust disposed thereon by ejecting at least a portion of the dust from the surface. The methods comprise irradiating the layer of dust with an electron beam, such that the electron beam irradiates a particle thereby inducing said particle to emit a plurality of secondary electrons; wherein at least a portion of the plurality of secondary electrons impinge two or more neighboring particles to thereby generate a secondary charge on the two or more neighboring particles, wherein the secondary charge on the two or more neighboring particles creates an electrostatic repulsive force between said particles, wherein the electrostatic repulsive force is sufficient to eject said particles from the surface.

Abstract: The present disclosure relates to method, apparatus and storage medium for object attribute classification model training. There proposes a method of training a model for object attribute classification, comprising steps of: acquiring binary class attribute data related to a to-be-classified attribute on which an attribute classification task is to be performed, wherein the binary class attribute data includes data indicating whether the to-be-classified attribute is “Yes” or “No” for each of at least one class label; and pre-training the model for object attribute classification based on the binary class attribute data.

Abstract: The present disclosure provides a training method and device for an image identifying model, and an image identifying method. The training method comprises: obtaining image samples of a plurality of categories; inputting image samples of each category into a feature extraction layer of the image identifying model to extract a feature vector of each image sample; calculating a statistical characteristic information of an actual distribution function corresponding to each category according to the feature vector of each image sample of the each category; establishing an augmented distribution function corresponding to the each category according to the statistical characteristic information; obtaining augmented sample features of the each category based on the augmented distribution function; and inputting feature vectors of the image samples and the augmented sample features into a classification layer of the image identifying model for supervised learning.

Abstract: The present disclosure relates to an image attribute classification method, apparatus, electronic device, medium, and program product. The present disclosure enables inputting the image to a feature extraction network to obtain a feature map after feature extraction and N times down-sampling, wherein at least one attribute of the image occupies a second rectangular position area in the feature map after N times down-sampling; calculating a mask function of the at least one attribute of the feature map after N times down-sampling based on the second rectangular position area; obtaining a feature corresponding to the at least one attribute by dot multiplying the feature map after N times down-sampling with the mask function; and inputting the obtained feature corresponding to the at least one attribute to the corresponding attribute classifier for attribute classification.

Abstract: An image processing method includes acquiring a set of image samples for training an attribute recognition model, wherein the set of image samples includes a first subset of image samples with category labels and a second subset of image samples without category labels; training a sample prediction model using the first subset of image samples, and predicting categories of the image samples in the second subset of image samples using the trained sample prediction model; determining a category distribution of the set of image samples based on the category labels of the first subset of image samples and the predicted categories of the second subset of image samples; and acquiring a new image sample if the determined category distribution does not conform to the expected category distribution, and adding the acquired new image sample to the set of image samples.

Abstract: A method is provided for evaluating an effect of classifying a fuzzy attribute of an object, the fuzzy attribute referring to an attribute, a boundary between two similar ones of a plurality of categories of which is blurred, wherein the method includes: generating a similarity-based ranked confusion matrix, which comprises: based on similarities of K categories of the fuzzy attribute of the object, ranking the K categories, where K is an integer greater than or equal to 2, generating a K×K all-zero initialization matrix, wherein an abscissa and an ordinate of the initialization matrix respectively represent predicted values and true values of the similarity-based ranked categories of the fuzzy attribute, and based on the true values and the predicted values of the category of the fuzzy attribute for the multiple object samples, updating values of corresponding elements in the initialization matrix; and displaying the similarity-based ranked confusion matrix.

Abstract: The present disclosure relates to an image annotating method, classification method and machine learning model training method, and to the field of computer technologies. The image annotating method includes: generating an image tag vector of image to be annotated, according to a plurality of attributes for image annotating and multiple tags corresponding to each of the attributes; annotating an image category to which the image to be annotated belongs, according to vector similarity between the image tag vector and an category tag vector of each of a plurality of image categories, the category tag vector being generated according to the multiple tags corresponding to each of the attributes.

Abstract: A chemical composition for a degradable polymeric material includes an isocyanate terminated polyester prepolymer, including prepolymer units as a main chain with a plurality of isocyanates at ends of the main chain, and a cross-linking agent. The isocyanate terminated polyester prepolymer has a structural formula as follows: ONC—R?—NH—[—CO—R—R??-]n-NH—R?—CNO, wherein R?? is selected from a group consisting of —O— and —CO—O—R?—O—, wherein R, R? and R? are an aryl group or alkyl group and wherein n is a number of prepolymer units corresponding to length of the main chain. The composition degrades at a rate and at a delay depending on temperature and the composition for a component of a downhole tool. The composition has strength and elasticity for a component of a downhole tool.