Abstract: A dark circle detection and evaluation method includes: obtaining a to-be-processed image; extracting a dark circle region of interest from the to-be-processed image; performing color clustering on the dark circle region of interest to obtain n types of colors in the dark circle region of interest, where n is a positive integer; recognizing a dark circle region in the dark circle region of interest based on the n types of colors; and obtaining a dark circle evaluation result based on the dark circle region.

Abstract: A skin detection and evaluation method includes: obtaining a face image of a user; detecting a skin problem that appears in the face image; prompting in a first interface, the user that the skin problem appears on a face, wherein the first interface comprises the face image; and displaying a second interface in response to a first operation performed by the user in the first interface, wherein the second interface comprises a first facial simulated image obtained after the skin problem is aged; or displaying a third interface in response to a second operation performed by the user in the first interface, wherein the third interface comprises a second facial simulated image obtained after the skin problem is de-aged.

Abstract: Aspects of the present disclosure describe systems, methods, and structures that provide organic light-emitting diodes having high luminous efficiency and low electrical dissipation. Embodiments in accordance with the present disclosure include a top electrode normally comprising a single film that includes a pair of metals and one metal compound, where the metals include a precious metal in combination with an alkaline earth metal or rare-earth metal and the metal compound is an alkali metal compound. As a result, such a top electrode has a work function that is better matched for efficient electron injection than magnesium-silver alloy-based transparent electrodes known in the prior art.

Abstract: The technology of this application relates to an artificial intelligence terminal-based image detection method and apparatus, and an electronic device. The method includes obtaining a to-be-detected image, determining a light source region of the to-be-detected image and a foreground region of the to-be-detected image, and determining a blurring degree of the to-be-detected image based on the light source region and the foreground region. Impact of a light source on clarity of the to-be-detected image is determined by performing light source region detection and foreground region detection on the to-be-detected image, to effectively detect whether an image shot in a backlight condition is blurred.

Abstract: This application provides a skin color detection method and apparatus. The skin color detection method includes: obtaining a face image (101); determining a face key point (102) in the face image; determining a skin color estimation region of interest (Region Of Interest, ROI) and an illumination estimation region of interest ROI (103) in the face image based on the face key point; obtaining a detected skin color value (104) corresponding to the skin color estimation region of interest; obtaining a detected illumination color value (105) corresponding to the illumination estimation region of interest; and using the detected skin color value and the detected illumination color value as feature input of a skin color estimation model, and obtaining a corrected skin color value (106) output by the skin color estimation model.

Abstract: A method of determining patient responsiveness to a drug by the use of spectroscopy to obtain patient metabolite data and relating that data to data obtained from a statistically significant group of patients taking the same drug in order to obtain a result indicating responsiveness of a particular patient to treatment with a particular drug.

Abstract: A face recognition-based method includes, when a terminal detects a placement posture on the terminal, obtaining placement posture information of the terminal, where the placement posture information is used to determine a tilt angle of the terminal relative to a first plane; performing facial recognition on a user when determining that a tilt angle meets a preset range without notifying the user and regardless of detecting an action of the terminal other than obtaining the placement posture information; and opening the application when the facial recognition succeeds.

Abstract: The technology of this application relates to an artificial intelligence terminal-based image detection method and apparatus, and an electronic device. The method includes obtaining a to-be-detected image, determining a light source region of the to-be-detected image and a foreground region of the to-be-detected image, and determining a blurring degree of the to-be-detected image based on the light source region and the foreground region. Impact of a light source on clarity of the to-be-detected image is determined by performing light source region detection and foreground region detection on the to-be-detected image, to effectively detect whether an image shot in a backlight condition is blurred.

Abstract: In a facial skin detection method performed by a terminal device having a front-facing camera, a first image including a face is obtained and feature information of pores in a target area of the face is extracted. The pores in the target area are classified into pore categories based on the feature information of the pores in the target area. Feature information of pores of each pore category is input into at least one pore detection model to obtain pore detection data of each pore category and a skin detection result of the face is determined based on pore detection data of the pore categories.

Abstract: Provided are anti-claudin 18.2 (CLDN18.2) antibodies and fragments thereof. Also provided are isolated nucleic acid molecules that encode anti-CLDN18.2 antibodies, vectors comprising such nucleic acid, and host cells comprising such vectors or nucleic acids. Provided are methods of making anti-CLDN18.2. Also provided are related pharmaceutical compositions and methods using such pharmaceutical compositions in the treatment of disorders associated with aberrant CLDN18.2 expression, such as cancers.

Abstract: A method includes: collecting an original signal in a specified time interval, and performing combined acceleration processing on the original signal to obtain a combined acceleration signal; performing state processing on the combined acceleration signal to obtain a motion time interval, and extracting a plurality of feature groups from the combined acceleration signal according to a preset motion rule; and performing screening on the plurality of feature groups to obtain a first feature group, extracting a median value from the first feature group, and obtaining a stride frequency in the specified time interval based on the median value and a collection frequency, and obtaining a quantity of steps through calculation based on the motion time interval and the stride frequency.

Abstract: A method of predicting the responsiveness of a patient to a pharmaceutical drug by measuring metabolites in a biological sample from the patient is disclosed. Specific drug metabolites in blood from breast cancer patients are analyzed using NMR spectroscopy whereby responsiveness of the human cancer patients before, during and after treatment with a cancer drug is assessed by measuring the change in clinical outcomes. Data obtained is used to identify particular NMR resonances that are strongly correlated with whether the patient is responsive or resistant to each drug. As such, models for predicting the responsiveness of a patient to each drug based on metabolites from the patient are provided.

Abstract: A method includes collecting an original signal in a specified time interval, performing combined acceleration processing on the original signal to obtain a combined acceleration signal, combining n data points of the combined acceleration signal into one data segment, extracting a feature point of the data segment, transforming feature points of all data segments into a feature point signal, analyzing the feature point signal to obtain a stable stage and a fluctuation stage of the feature point signal, performing interference period elimination on the feature point signal with the stable stage and the fluctuation stage according to a specified motion rule to obtain a second feature point signal, and counting a quantity of wave crests of the second feature point signal, where the quantity of wave crests is a quantity of steps.

Abstract: An eye open or closed state detection method, in addition to an eye opening feature, an iris shape feature and/or a vertical direction feature are added to identify the eye open or closed state, where the eye opening feature is used to represent an eye opening degree, the iris shape feature is used to represent a shape of an iris of an eye, and the vertical direction feature is used to represent a change degree of an eyelid curve.

Abstract: An image capture method and apparatus obtains a preview image in a capture preview window, segments the preview image into N image blocks based on N objects included in the preview image, where N is a positive integer, determines M image blocks whose definitions do not meet a preset definition criterion from the N image blocks, where M is a positive integer less than or equal to N, adjusts an exposure parameter of each of the M image blocks, outputs prompt information when the definitions of the M image blocks meet the preset definition criterion. Prompt information prompts a user to capture the image, receives a capture instruction from the user, and captures the preview image in the capture preview window based on an adjusted exposure parameter.

Abstract: The present disclosure provides variant CD80 polypeptides that have altered affinity for their cognate binding partners, and immunomodulatory fusion proteins comprising the variant CD80 polypeptides. The present disclosure also provides pharmaceutical compositions comprising such polypeptides and/or proteins and methods for modulating immune responses and/or treatment of cancer, infectious diseases, and/or immunological diseases.

Abstract: A method includes calculating, based on a first coordinate transformation matrix and a measured value of a gyroscope that corresponds to the ith sampling moment, a second coordinate transformation matrix corresponding to the ith sampling moment, where the first coordinate transformation matrix is a constant matrix, the first coordinate transformation matrix is a coordinate transformation matrix between a sensor coordinate system and a foot coordinate system, the second coordinate transformation matrix is a coordinate transformation matrix between the foot coordinate system and a ground coordinate system, and i is an integer greater than 0, and calculating, based on the first coordinate transformation matrix and the second coordinate transformation matrix corresponding to the ith sampling moment, an attitude matrix corresponding to the ith sampling moment, where the attitude matrix is a coordinate transformation matrix between the sensor coordinate system and the ground coordinate system.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and utilizing a touchpoint attribution attention neural network to identify and measure performance of touchpoints in digital content campaigns. For example, a deep learning attribution system trains a touchpoint attribution attention neural network using touchpoint sequences, which include user interactions with content via one or more digital media channels. In one or more embodiments, the deep learning attribution system utilizes the trained touchpoint attribution attention neural network to determine touchpoint attributions of touchpoints in a target touchpoint sequence. In addition, the deep learning attribution system can utilize the trained touchpoint attribution attention neural network to generate conversion predictions for target touchpoint sequences and to provide targeted digital content over specific digital media channels to client devices of individual users.

Abstract: A method of predicting the responsiveness of a patient to a pharmaceutical drug by measuring metabolites in a biological sample from the patient is disclosed. Specific drug metabolites in blood from breast cancer patients are analyzed using NMR spectroscopy whereby responsiveness of the human cancer patients before, during and after treatment with a cancer drug is assessed by measuring the change in clinical outcomes. Data obtained is used to identify particular NMR resonances that are strongly correlated with whether the patient is responsive or resistant to each drug. As such, models for predicting the responsiveness of a patient to each drug based on metabolites from the patient are provided.

Abstract: A method for calculating a tread frequency of a bicycle includes obtaining a first state of an acceleration signal in a first time window, determining a feature point set from the acceleration signal when the first state includes a riding state, where time distribution of a feature point in the feature point set meets a preset periodic distribution condition, and amplitude meets a physical rule, determining that the first state is the riding state when a feature point subset in the feature point set meets a preset reasonableness condition, and calculating, based on the feature point subset, a quantity of circles and a tread frequency that are in the first time window.