Abstract: Provided is a display panel. The display panel includes: a base substrate, including a display region and a periphery region at least partially surrounding the display region, wherein the display region includes a first display region and a second display region disposed at least on one side of the first display region, a light transmittance of the first display region being greater than a light transmittance of the second display region; a plurality of first pixel units disposed on the base substrate and in the first display region; and a plurality of signal lines disposed at least in the first display region and electrically connected to the plurality of first pixel units, wherein the plurality of signal lines include a plurality of first signal lines and a plurality of second signal lines.

Abstract: In one aspect, the present application provides a method for verifying a segmentation result of a 3D digital model of jaw, the method comprises: obtaining a reference position segmentation result of a 3D digital model of jaw, where the reference position result is obtained by segmenting the 3D digital model of jaw positioned at a reference position using a first segmentation method; perturbating the 3D digital model of jaw positioned at the reference position multiple times, and segmenting the 3D digital model of jaw positioned at the multiple perturbed positions using the first segmentation method, to obtain corresponding multiple perturbed position segmentation results; and determining whether the reference position segmentation result is reliable based on similarities between the reference position segmentation result and the multiple perturbed position segmentation results, where segmentation of the 3D digital model of jaw is to segment teeth from each other and from gingiva, and is to classify facets of

Abstract: A structure of transferring dies includes an oxide layer supporting feature, multiple dies, a bonding feature, a supporting wafer, and a spacer. The oxide layer supporting feature includes multiple repeating units. Each repeating unit has a die setting region and a peripheral region. The die setting region of one repeating unit is separated from the peripheral region of another adjacent repeating unit. The die is disposed on the die setting region and the bonding feature is disposed on the peripheral region of the oxide layer supporting feature. The supporting wafer is disposed under the oxide layer supporting feature and separated from the die and the bonding feature by a gap. The spacer is disposed between the bonding feature and the supporting wafer, and bonded to the bonding feature.

Abstract: System and methods for adaptive multi-granularity event groupings are provided. In embodiments, a method includes: determining to group IT operations data at a first level of granularity for similar events or at a second level of granularity for related events based on user input of a data grouping event; parsing, by an event parser, the IT operations data into one or more groups of similar events based on text information and parser rules in response to determining to group the IT operations data at the first level of granularity; obtaining user feedback indicating the one or more groups of similar events require modification; determining one or more keywords of the IT operations data using an artificial intelligence model in response to the user feedback; and updating the parser rules for the event parser based on the one or more keywords, thereby generating updated parser rules.

Abstract: An approach is provided that trains an artificial intelligence (AI) system, such as a neural network, to process IT ticket data. The approach receives IT tickets from various ticket sources. Ticket vectors corresponding to each of the IT tickets are computed. An analysis is performed using the ticket vectors and a node vector that corresponds to a network topology. The analysis is performed using a corpus of IT ticket data. An IT ticket model used by the AI system is trained based on the analysis. Responses are provided to requestors of the AI system using the trained IT ticket model.

Abstract: A text description generating method and device, a mobile terminal and a storage medium. The method of the embodiments of the present disclosure includes: obtaining the video content; performing text recognition according to the video content to obtain first text information, and displaying the first text information; and/or, generating second text information in response to user input operation on the video content, and displaying the second text information.

Abstract: In an approach, a processor, in response to detecting a new customer resource (CR) file: requests, the computing environment to deploy a plurality of function deployment components in the computing environment, where: the CR file indicates information of a plurality of functions of an application; the plurality of function deployment components request the computing environment to deploy a plurality of function components in the computing environment; and the plurality of function components execute the plurality of functions of the application; determines that each of the plurality of function components has been deployed in the computing environment; and in response to determining that each of the plurality of function components has been deployed in the computing environment, requests the computing environment to delete each of the plurality of deployed function deployment components.

Abstract: In an approach, a processor, in response to detecting a new customer resource (CR) file: requests, the computing environment to deploy a plurality of function deployment components in the computing environment, where: the CR file indicates information of a plurality of functions of an application; the plurality of function deployment components request the computing environment to deploy a plurality of function components in the computing environment; and the plurality of function components execute the plurality of functions of the application; determines that each of the plurality of function components has been deployed in the computing environment; and in response to determining that each of the plurality of function components has been deployed in the computing environment, requests the computing environment to delete each of the plurality of deployed function deployment components.

Abstract: In one aspect, the present application provides a method for verifying a segmentation result of a 3D digital model of jaw, the method comprises: obtaining a reference position segmentation result of a 3D digital model of jaw, where the reference position result is obtained by segmenting the 3D digital model of jaw positioned at a reference position using a first segmentation method; perturbating the 3D digital model of jaw positioned at the reference position multiple times, and segmenting the 3D digital model of jaw positioned at the multiple perturbed positions using the first segmentation method, to obtain corresponding multiple perturbed position segmentation results; and determining whether the reference position segmentation result is reliable based on similarities between the reference position segmentation result and the multiple perturbed position segmentation results, where segmentation of the 3D digital model of jaw is to segment teeth from each other and from gingiva, and is to classify facets of

Abstract: In one aspect of the present application, a method for segmenting 3D digital model of jaw is provided, the method comprises: obtaining a 3D digital model of jaw to be segmented; converting the 3D digital model of jaw to be segmented into a point cloud; sampling the point cloud to obtain sample points; extracting features from the sample points; classifying the sample points based on the extracted features using a trained DGCNN network; and classifying other points in the point cloud based on the classified sample points using a KNN algorithm, where classifying a point is classifying a facet of the 3D digital model of jaw to be segmented represented by the point as a certain tooth or gingiva.

Abstract: A text description generating method and device, a mobile terminal and a storage medium. The method of the embodiments of the present disclosure includes: obtaining the video content; performing text recognition according to the video content to obtain first text information, and displaying the first text information; and/or, generating second text information in response to user input operation on the video content, and displaying the second text information.

Abstract: A computer-implemented method for dynamically adjusting server settings is described. In one embodiment, at least one parameter of a status of a server that diverges from a corresponding baseline setting of a policy maintained by the server may be identified. An adjustment to the baseline setting of the policy may be calculated based at least in part on the divergent parameter. The baseline setting of the policy may be adjusted according to the calculated adjustment. A command may be issued to send data representative of the adjusted baseline setting of the policy from the server to a client to update a user profile.

Abstract: A computer-implemented method for providing security for synchronized files may include (1) synchronizing, using a cloud folder synchronization service, a backend server with both a client folder on a client machine and an additional client folder on an additional client machine, (2) propagating a file from the client folder to the backend server through the cloud folder synchronization service, (3) identifying, using the cloud folder synchronization service, a result of a security scan of the propagated file, and (4) adjusting, using the cloud folder synchronization service, the synchronization of the file with the additional client folder based on the result of the security scan. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A computer-implemented method for warning mobile device users about potentially malicious NFC tags may include (1) obtaining, by a mobile device, NFC-tag information that identifies (i) a geo-location of at least one NFC tag and (ii) a result of at least one malware analysis performed on the NFC tag, (2) determining that the NFC tag includes potentially malicious content based at least in part on the result of the malware analysis performed on the NFC tag, (3) determining that the mobile device is located in proximity of the NFC tag based at least in part on the geo-location of the NFC tag, and then (4) providing an alert that warns a user of the mobile device against scanning the NFC tag due at least in part to the potentially malicious content included in the NFC tag. Various other methods, systems, and computer-readable media are also disclosed.