Abstract: A technique manages objects in a software development project. In particular, in response to receiving a commit request for committing a group of objects, a group of historical commit requests associated with the group of objects are acquired based on a commit history, wherein historical commit requests in the group of historical commit requests involve the group of objects. A candidate object is selected from at least one object involved in the historical commit requests that is different from the group of objects. An association relationship between the candidate object and the group of objects is determined. The candidate object is identified as a missing object in response to determining that the association relationship satisfies a predetermined condition, the missing object indicating an object associated with the commit request but not included in the commit request. Accordingly, objects that are missing in a commit request can be automatically checked.

Abstract: A wrinkle detection method includes: rotating a region, in a face image, in which a wrinkle needs to be detected, to obtain a plurality of to-be-detected images; determining wrinkle points from all pixel points based on grayscale values of the pixel points in each of the to-be-detected images with different angles; determining at least one wrinkle line based on the wrinkle points; and then displaying, by the electronic device, the wrinkle line in the region in which the wrinkle needs to be detected, where each wrinkle line indicates one wrinkle in each of the to-be-detected images.

Abstract: A resource allocation method and a storage device are provided. The storage device includes a disk enclosure and a plurality of controllers. Each controller includes a plurality of processors, each processor includes a plurality of processor cores, the plurality of controllers are separately coupled to the disk enclosure including a plurality of hard disks. The plurality of processors are configured to provide computing resources. The plurality of hard disks are configured to provide storage space. Logical addresses corresponding to the storage space are classified into several address segment sets, each address segment set includes one or more address segments, some of the computing resources are allocated to each address segment set, and are used to execute a data access request for accessing an address segment comprised in the address segment set. Computing resources used to process different address segment sets are from different processors or from different processor cores.

Abstract: A semiconductor device includes a trench disposed in an epitaxial layer on a substrate. A gate structure is disposed in the trench and includes upper and lower conductive portions. A dielectric isolation portion is disposed between the upper and lower conductive portions. A dielectric liner is disposed in the trench and has an opening on the bottom surface of the trench. The opening is filled up with a part of the lower conductive portion. A portion of the epitaxial layer and the lower conductive portion construct a Schottky barrier diode. A doped region is disposed in the epitaxial layer, under the bottom surface of the trench and on one side of the lower conductive portion. The portion of the epitaxial layer and a portion of the doped region are in contact with the lower conductive portion.

Abstract: Provided is a method for diagnosing and monitoring progression of cancer or effectiveness of a therapeutic treatment. The method includes detecting a methylation level of at least one gene in a biological sample containing circulating free DNA. Also provided are primer pairs and probes for diagnosis or prognosis of cancer in a subject in need thereof.

Abstract: Disclosed are a controlled-release dosage form with an absorption window in the upper gastrointestinal tract and a preparation method therefor, wherein the controlled-release dosage form comprises a controlled-release platform and a retention platform. The controlled-release platform is a pharmaceutical composition comprising a tablet core and a coating membrane; and the retention platform holds the controlled-release platform in the oral cavity. The operation steps of the controlled-release dosage form are as follows: placing the controlled-release platform in the retention platform, and fixing the retention platform on matching teeth in the oral cavity; taking out the controlled-release dosage form after 4-24 hours and replacing same with a new controlled-release platform; and re-fixing the retention platform on the matching teeth in the oral cavity to achieve the sustained and stable release of drugs.

Abstract: Some embodiments of the present disclosure provide an air conditioner and a control method thereof. The air conditioner includes an outdoor unit, an indoor unit, a temperature sensor, a humidity sensor, and a controller. The temperature sensor is configured to detect a first indoor temperature and a second indoor temperature. The humidity sensor is configured to detect a first indoor humidity and a second indoor humidity. The controller is configured to control the air conditioner to operate in a reheat dehumidification mode if it is determined that a first preset condition is satisfied, control the air conditioner to operate in a cooling mode if it is determined that the first preset condition is not satisfied, and control the air conditioner to enter a shutdown state if it is determined that one of a second preset condition and a third preset condition is satisfied.

Abstract: A multiple access method includes: obtaining, by a user equipment (UE), first source information; extracting a semantic feature of the first source information to obtain a first semantic feature sequence; performing a joint source-channel coding on the first semantic feature sequence to obtain a first semantic information sequence; mapping the first semantic information sequence into preset time-frequency resources of an uplink multiple access channel; and transmitting the first semantic information sequence through the uplink multiple access channel.

Abstract: An electronic device includes a display panel, a camera, a fingerprint recognition light source, and a light steering element, where in the display panel, transmittance of a first display area is greater than transmittance of a second display area that includes a fingerprint recognition area, where the camera, the fingerprint recognition light source, and the light steering element are all located on a side of the display panel that is back onto a light outlet surface of the display panel, and where the camera includes an optical-to-electrical conversion chip, the fingerprint recognition light source is configured to emit light to the fingerprint recognition area in a fingerprint recognition mode, and the light steering element is configured to transfer light reflected by a body part that presses the fingerprint recognition area to the optical-to-electrical conversion chip in the fingerprint recognition mode.

Abstract: A method of concomitantly manufacturing at least two thin-film devices is provided, the method comprising: applying a solution on a first surface of a first planar substrate; positioning a second surface of a second planar substrate proximate to the first surface of the first planar substrate to provide parallelly disposed adjacent substrates, such that the first surface and the second surface are in contact with the solution; sliding the parallelly disposed adjacent substrates over one another such that the solution is drawn over the first surface and the second surface, which when the parallelly disposed adjacent substrates slide passed one another, provide a first coating on a first surface and a second coating on the second surface; and drying the first coating and the second coating, thereby concomitantly manufacturing at least two thin-film devices.

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: An image acquisition method includes acquiring a first image based on a first photographing parameter, where the first image includes a first to-be-detected item, acquiring a second image based on a second photographing parameter, where the second image includes a second to-be-detected item, and determining, based on the first image and the second image, a detection result corresponding to the first to-be-detected item and a detection result corresponding to the second to-be-detected item.

Abstract: The present disclosure relates to bacterium engineered to produce aromatic compounds or compounds with aromatic metabolites or intermediates using the CRISPR-CAS transcriptional activation (CRISPRa) and/or transcriptional repression (CRISPRi). Accordingly, in an aspect the present disclosure relates to an engineered bacterium comprising genetic elements supporting programmable transcriptional activation and/or repression. The present disclosure also provides methods and systems for producing aromatic compounds or compounds with aromatic metabolites or intermediates using the engineered bacterium disclosed herein.

Abstract: A skin detection method includes: dividing a region of interest in a face image into a highlighted region and a non-highlighted region; separately determining a first segmentation threshold of the highlighted region and a second segmentation threshold of the non-highlighted region; obtaining a binary image of the highlighted region based on the first segmentation threshold, and obtaining a binary image of the non-highlighted region based on the second segmentation threshold; fusing the binary image of the highlighted region and the binary image of the non-highlighted region; and identifying, based on a fused image, pores and/or blackheads included in the region of interest.

Abstract: A method includes, in response to a first operation performed on a first electronic device, obtaining, by the first electronic device, an image using a camera of the first electronic device, where the image includes a hand region and a face region, and the first operation indicates a start of a skin care process; extracting a target image feature from the image, where the target image feature is a feature related to the hand region and the face region; and outputting integrity of the skin care process based on target image features corresponding to a plurality of frames of images, where the frames of images are images generated in a time sequence in the skin care process.

Abstract: A method includes a server computer receiving a dataset comprising data associated with a plurality of service providers. The server computer can extract a plurality of features from the dataset. The features include user intent features, off-platform features, and on-platform features. The server computer can train a machine learning model using training data based on the plurality of features of at least some of the service providers. For one or more candidate service providers of the plurality of service providers, the server computer can determine a predicted rank and a predicted value for each of the one or more candidate service providers using the trained machine learning model.

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.