Abstract: A system includes one or more processors that obtaining data from one or more source. The data includes an ongoing or planned locomotive action and contextual information associated with the locomotive action. The processors also synchronize the data, generate an output comprising textual components, and convert the output. The processors may execute the locomotive action which may include a driving action.

Abstract: Provided are a composition for detecting liver cancer and a use thereof. The composition comprises: a nucleic acid used for detecting the methylation status of a target gene, wherein the target gene is one or more of: a CHFR gene, an SPINT2 gene, an RNF135 gene, a CHST2 gene, an SPDYA gene, a PAX5 gene, a VASH2 gene, a TSPYL5 gene, and an EMX1 gene. Further provided are a reagent test kit comprising the composition, and a use of the composition in the preparation of a reagent test kit for the in vitro detection of liver cancer.

Abstract: The present disclosure discloses a probiotic with efficacy in improving vaginitis, a compound microecological preparation, and an application thereof, the probiotic is characterized by comprising at least one of the following strains: Lactiplantibacillus plantarum 22-9 strain with a deposit number CGMCC No. 33867, Lactiplantibacillus plantarum XA-9 strain with a deposit number CGMCC No. 33868, and Lactiplantibacillus pentosus strain B-1-35 with a deposit number CGMCC No. 33870, the probiotic compound microecological preparation is prepared by inoculating a lactic acid bacteria starter culture, which is obtained by mixing Lactiplantibacillus plantarum 22-9, Lactiplantibacillus plantarum XA-9, and Lactiplantibacillus pentosus strain B-1-35 cultures in a volume ratio of 2:1:3, into a fermentation medium at an inoculation volume of 1-5%, the preparation has the advantages of increasing the content of lactic acid bacteria in the vagina, reducing the content of pathogenic bacteria.

Abstract: The present disclosure discloses a probiotic strain with efficacy in improving depression-like symptoms, a microecological preparation and uses thereof. The probiotic strain is Limosilactobacillus fermentum PC17, which has been deposited under the culture collection number CGMCC No. 33866, the active ingredient of the lactic acid bacteria microecological preparation comprise Limosilactobacillus fermentum PC17. The microecological preparation is prepared by inoculating Limosilactobacillus fermentum PC17 into a fermentation medium at 1-5% (v/v) to obtain a probiotic microecological preparation. The preparation can be used for the manufacture of antidepressant drugs. The advantages include: promoting the secretion of 5-HT and 5-HTP by RIN14B cells, reducing serum levels of IL-1?, IL-6, TNF-?, CORT, and ACTH, and increasing serum levels of GABA and BDNF. Furthermore, the depression-like behaviors in a CUMS-induced depression-like mouse model are significantly ameliorated.

Abstract: An aero-engine limit protection control method and apparatus, a storage medium and a device belong to the technical field of aero-engine control. Through the design of a main controller and a limit controller, the present invention realizes the effects of tracking of high-pressure rotational speed and the limit of turbine outlet temperature respectively. A Lyapunov function is designed. The stability of a closed-loop system is analyzed under the average dwell-time restriction. Controller parameter conditions that satisfy stability analysis are obtained by solving inequalities. The proposed method not only realizes the purpose of limit protection control of the aero-engine in a transition stage and improves the safety of an aero-engine control system, but also theoretically analyzes the stability of the aero-engine limit protection control system and improves the reliability of engineering application.

Abstract: The present disclosure provides a photographic exposure method for a self-moving device. The method includes: detecting, based on a preset rule, brightness information of a target region in an image; adjusting a exposure parameter in response to the detected brightness information not meeting a preset condition; and performing, based on the adjusted exposure parameter, exposure in a localized region during image acquisition, the localized region including at least the target region.

Abstract: A system includes one or more processors that obtaining data from one or more source. The data includes an ongoing or planned locomotive action and contextual information associated with the locomotive action. The processors also synchronize the data, generate an output comprising textual components, and convert the output. The processors may execute the locomotive action which may include a driving action.

Abstract: An obstacle avoidance method for a self-moving robot includes: receiving, by the self-moving robot, an operation instruction for ignoring a specified obstacle; detecting an obstacle of a same type as the specified obstacle in a region range labeled with the specified obstacle; and keeping cleaning without performing an obstacle avoidance operation on the obstacle of the same type.

Abstract: A system includes one or more processors that obtain sensor data; characterize the sensor data, obtaining one or more analysis results from the characterized sensor data, validate the one or more analysis results based on feedback data, based on the one or more analysis results and the validation thereof, create an operational design domain, and generate an operational protocol based on the operational design domain. The generating of the operational protocol includes translating the operational design domain into executable commands directed to an ego vehicle.

Abstract: A ranging method includes determining a first distance of the object to be measured relative to the self-mobile robot, where content in the first image comprises at least the object and a surface on which the object is located; selecting a point located on the object from the first image as a 5 reference point; determining initial parallax based on the first distance; and determining a region of interest from a second image collected by a second image collection apparatus, and determining a location of the reference point from the region of interest as a first target point; determining a second target point from the region of interest based on the first target point, and determining an actual parallax distance between the first image collection apparatus and the second image collection apparatus; and calculating depth information of the object based on the actual parallax distance.

Abstract: A control method of a multi-stage etching process and a processing device using the same are provided. The control method of the multi-stage etching process includes the following step S. A stack information of a plurality of hard mask layers is set. An etching target condition is set. Through a machine learning model, a parameter setting recipe of the hard mask layers is generated under the etching target condition. The machine learning model is trained based on the stack information of the hard mask layers, a plurality of process parameters and a process result.

Abstract: Disclosed are a method and apparatus for detecting a near-field object, a medium and an electronic device. In the present disclosure, the characteristics of an automatic exposure apparatus before and after light supplement of a light supplement lamp are used, two images are shot in the same direction before and after light supplement of the light supplement lamp, and whether the near-field object exists is determined through comparison of the two images. Without adding additional apparatuses, the task of discovering the near-field objects by a self-walking device is completed by using the existing apparatus, and the collision between the self-walking device and the near-field object is avoided.

Abstract: The present disclosure provides a method for displaying a pose of a robot in a three-dimensional map, an apparatus, a device, and a storage medium. The method includes: acquiring a three-dimensional map of a space in which the robot is located; acquiring a two-dimensional map constructed by the robot; matching the three-dimensional map with the two-dimensional may constructed by the robot to obtain a correspondence between the three-dimensional map and the two-dimensional map constructed by the robot; acquiring a nose of the robot on the two-dimensional map constructed by the robot; and displaying a pose of the robot in the three-dimensional map based on the pose of the robot on the two-dimensional map constructed by the robot and the correspondence between the three-dimensional map and the two-dimensional map constructed by the robot.

Abstract: A control method of a multi-stage etching process and a processing device using the same are provided. The control method of the multi-stage etching process includes the following step S. A stack information of a plurality of hard mask layers is set. An etching target condition is set. Through a machine learning model, a parameter setting recipe of the hard mask layers is generated under the etching target condition. The machine learning model is trained based on the stack information of the hard mask layers, a plurality of process parameters and a process result.

Abstract: An obstacle avoidance method for a self-moving robot includes: obtaining and recording, by the self-moving robot, information about an obstacle encountered during traveling, wherein the information about the obstacle includes type information and location information of the obstacle; and receiving, by the self-moving robot, an operation instruction for a specified obstacle, wherein the operation instruction is configured for instructing the self-moving robot, when detecting an obstacle of a same type as the specified obstacle in a region range labeled with the specified obstacle, not to perform an obstacle avoidance operation on the obstacle of the same type.

Abstract: A system includes one or more processors that obtaining data from one or more source. The data includes an ongoing or planned locomotive action and contextual information associated with the locomotive action. The processors also synchronize the data, generate an output comprising textual components, and convert the output. The processors may execute the locomotive action which may include a driving action.

Abstract: A system includes one or more processors that obtain a textual prompt, encode the textual prompt, and obtain candidate sequences of sensor data from different modalities, each sequence including a plurality of sequential frames, each of the candidate sequences being evaluated against the textual prompt based on a contrastive loss.

Abstract: A system includes one or more processors that obtain annotated frames of data. The annotated frames represent or are associated with a locomotive concept and include annotations. The system infers mappings between the annotated frames and concepts associated with locomotion of the vehicle. Each of the mappings correlates a subset of the annotated frames with a concept. The system receives a query for a particular concept, and retrieves, based on the mappings, a particular subset of the annotated frames correlated with the particular concept.