Abstract: In the method, a terminal device receives a first input operation; the terminal device accesses, in response to the first input operation, a first webpage indicated by the first input operation; after failing to access the first webpage, the terminal device determines that an error cause of a webpage access failure includes a first error cause; and the terminal device displays a first error prompt interface; the error segment display area includes a browser identifier, a network identifier, and a webpage identifier, a display status of a first identifier indicates whether the first error cause is an error cause corresponding to the first identifier, and the first identifier is any one of the three identifiers; and the first button is used to trigger the terminal device to perform a first operation corresponding to the first error cause.

Abstract: An ultraviolet (UV) sterilization system and monitoring method are applied to detect the working state of each UV lamp tube in an autonomous mobile robot. The monitoring method for UV sterilization includes enabling the autonomous mobile robot to move at a travel speed, driving the UV lamp to illuminate an UV, fetching an inductive voltage for each UV lamp, generating a report according to the inductive voltages for each UV lamp, and sending the report to a monitor server via the network from the autonomous mobile robot. Therefore, the monitoring server can check and record the working state of each UV lamp according to the report, and further the monitoring server will transmit a notification message to a client when the working state of any UV lamp is abnormal.

Abstract: A decision variable calculation method allowing a of reverse derivation requester to calculate decision variables based on a target result by pre-trained models provided by some participants in federated learning. The method includes the steps of providing the target result to each pre-trained model participating in this method and allowing them to reversely derive the input parameters, forming a loss function based on the difference between each pre-trained model and target result, integrating all input parameters into a total input parameter, and integrating all loss functions into a total loss function. An optimization problem is then constructed by the total input parameters and the total loss function. The solution to the optimization problem is the required decision variables.

Abstract: Example methods and apparatus for managing a network device are described. One example method includes obtaining a static dataset and generating a knowledge corpus based on the static dataset, where the knowledge corpus includes information for managing a network device. The static dataset indicates how to manage the network device, and the static dataset includes data that is generated independent of a device interaction process.

Abstract: A method for calculating feasible process parameters of the present invention constructs an optimization model by treating a trained predictive model as a function of process parameters to be determined, wherein the objective function is to minimize the difference between the function value and the target result, subject to the conditions that the process parameters to be determined must satisfy, either individually or in relation to each other. Moreover, in order to solve the constrained optimization problem, the method with penalty function and barrier function can be used to convert the constrained optimization problem into an unconstrained optimization problem to make it more convenient to solve.

Abstract: A method for calculating feasible process parameters to achieve a given process result and the method comprises the following steps of: providing a trained prediction model, obtained by machine learning of a dataset by a machine learning method, wherein the dataset comprises a plurality of samples, each of the samples comprises a plurality of sample parameters, and the trained predictive model is configured to input a plurality of input parameters and generate a prediction result corresponding to the input parameters; setting an expected result as the prediction result of the trained predictive model and providing at least one confirmed input parameters of the input parameters; and comparing the expected result, the at least one confirmed input parameters, and the sample parameters of the samples in the dataset by a reverse derivation algorithm to determine at least one non-confirmed input parameters of the input parameters.

Abstract: In a method for inspecting pattern defects, a plurality of patterns are formed over an underlying layer. The plurality of patterns are electrically isolated from each other. A part of the plurality of patterns are scanned with an electron beam to charge the plurality of patterns. An intensity of secondary electrons emitted from the scanned part of the plurality of patterns is obtained. One or more of the plurality of patterns that show an intensity of the secondary electrons different from others of the plurality of patterns are searched.

Abstract: A light-emitting substrate and a display device are provided. The light-emitting substrate includes a base substrate, a reflective layer, at least one pad, a light-emitting element and a connecting portion. The reflective layer includes an opening with a maximum size H1 in a first direction; the light-emitting element includes a first electrode and a second electrode arranged at intervals in a second direction, and a maximum size of the first electrode or the second electrode in the first direction is a first size K1; the connecting portion includes an edge radian region with a maximum size M in the first direction; the at least one pad includes a first pad, the first pad includes a first size portion, a minimum distance between the first size portion and the opening in the first direction is a second size K2 which satisfies: K2?0.5H1?0.5(K1+2M), and 50 ?m?H1?2K2?K1?100 ?m.

Abstract: An engineered type V Cas protein is provided, including a parental type V Cas protein and an HNH domain. The HNH domain is located at an N-terminus of the parental type V Cas protein; or the HNH domain is located between two continuous or non-continuous amino acids of the parental type V Cas protein, named as a first amino acid and a second amino acid, respectively. The first amino acid and the second amino acid are selected from one of amino acids 1 to 10 at the N-terminus of the parental type V Cas protein, and the first amino acid and the second amino acid are different amino acid positions of the parental type V Cas protein; or the first amino acid and the second amino acid are selected from amino acid positions corresponding to amino acids 794 and 795 of SEQ ID NO: 9.

Abstract: An auto white balance adjusting method includes determining a local white pixel area and a global white pixel area, selecting a plurality of pixels of an image according to the local white pixel area for generating a local average color value in a first color space, selecting a plurality of pixels of the image according to the global white pixel area for generating a global average color value in the first color space, converting the local average color value into three primary color gains in a second color space, generating three primary color target gains according to the three primary color gains and a color temperature curve in the second color space, and adjusting a white balance of the image frame by frame to meet the three primary color target gains according to the local average color value and the three primary color gains.

Abstract: The present invention relates to an isolated strain of lactic acid bacteria (LAB) for inhibiting drug-resistant Enterobacteriaceae, in which the isolated strain of the LAB includes Lactobacillus rhamnosus JJ101, Lactobacillus paracasei JJ102 and/or Lactobacillus plantarum JJ103, and the isolated strain of the LAB inhibit growth of the drug-resistant Enterobacteriaceae. After orally administered to a subject, the isolated strain of the LAB can inhibit the growth of the drug-resistant Enterobacteriaceae, and thus can potentially be used to prevent, improve and/or treat the infection of the drug-resistant Enterobacteriaceae.

Abstract: Systems, methods, and computer programs disclosed herein relate to the recognition of threatening conditions in patients suffering from hypertension.

Abstract: Example methods, apparatuses, and computer-readable storage media are provided. An example method includes determining, by a first communication apparatus, a first timing advance (TA) between the first communication apparatus and an access network device at a first moment. The method further includes sending, by the first communication apparatus to a network device, a first parameter corresponding to the first TA. The method further includes determining, by the first communication apparatus, a second TA between the first communication apparatus and the access network device at a second moment. The method further includes sending, by the first communication apparatus to the network device, a second parameter corresponding to the second TA. The sending causes the network device to position the first communication apparatus based on the first parameter and the second parameter, or send the first parameter and the second parameter to another network device.

Abstract: An intelligent obstacle detection system for an unmanned mine vehicle is provided to solve the problem of existing intelligent obstacle detection systems for unmanned mine vehicles cannot compare and analyze the actual driving data with the preset data and includes an intelligent detection platform, a route planning device, an obstacle detection device, a planning management device, an operation monitoring device, and a storage device. The route planning device is configured to perform route planning analysis for the unmanned mine vehicle to obtain a planned route of the unmanned mine vehicle. The planned route is sent to the obstacle detection device. The intelligent obstacle detection system can plan and analyze the travel route. By locking onto starting and target positions of the unmanned mine vehicles, and then obtaining point cloud data through the detection terminals and calculating with algorithms, the optimal planned route can be determined.

Abstract: A method for a visual content search and creation is described. The method includes detecting multiple objects in an image displayed on a user's workspace. The method also includes attaching a representative text label to detected objects in the image displayed on the user's workspace. The method further includes inferring both a high-level domain and a low-level domain from the representative text labels attached to the detected objects. The method also includes retrieving visual content according to the high-level domain and the low-level domain. The method further includes displaying out-of-domain visual content filtered from the retrieved visual content through a user interface in response to user-controlled filtering of unwanted visual content.

Abstract: Embodiment methods for performing a high pressure anneal process during the formation of a semiconductor device, and embodiment devices therefor, are provided. The high pressure anneal process may be a dry high pressure anneal process in which a pressurized environment of the anneal includes one or more process gases. The high pressure anneal process may be a wet anneal process in which a pressurized environment of the anneal includes steam.

Abstract: Disclosed in the present invention are a camera module and an electronic device. The camera module includes a housing, a temperature sensor, a temperature adjusting device, and an infrared detector, the temperature sensor is configured to sense a first temperature in the interior of the housing, the temperature adjusting device is configured to adjust the first temperature to a target temperature when the first temperature is not equal to the target temperature, the infrared detector is configured to detect infrared rays of an object when the first temperature reaches the target temperature.

Abstract: A method includes receiving a plurality of depth values corresponding to a plurality of areas depicted in an image captured by an image sensor. The method also includes generating a depth histogram categorizing each depth value of the plurality of depth values into a depth value range of a plurality of depth value ranges. The method further includes determining an autofocus distance based on the depth histogram. The method additionally includes causing the image sensor to capture an image based on the autofocus distance.

Abstract: The present disclosure relates to a low-light autofocus technique. One example embodiment includes a method. The method includes receiving an indication of a low-light condition for a camera system. The method also includes determining an extended exposure time for a low-light autofocus procedure of the camera system. Further, the method includes capturing, by the camera system, an extended frame for the low-light autofocus procedure. The extended frame is captured by the camera system using the determined extended exposure time. In addition, the method includes determining, based on the captured extended frame, an in-focus lens setting for a lens of the camera system.

Abstract: A method for quantitatively measuring a psychological complexity of a response to visual stimuli is described. The method includes generating, by a trained machine learning model, different dataset types of reference text descriptions and/or representations of the visual stimuli. The method also includes collecting input response text descriptions from an individual after perceiving the visual stimuli. The method further includes scoring a difference between the input response text descriptions and the different dataset types of reference text descriptions and/or representations of the visual stimuli, in which a score is generated based on the different dataset types of reference text descriptions. The method also includes generating a complexity score representative of a cognitive complexity of the input response text description from the individual based on the score generated based on the different dataset types of reference text descriptions.