Abstract: The disclosure discloses Oscillospiraceae sp. LBM10036 capable of utilizing multiple substrates and application thereof, and belongs to the fields of microbial technology and Baijiu brewing. The microorganism Oscillospiraceae sp. LBM10036 of the disclosure was preserved in the Guangdong Microbial Culture Collection Center on Sept. 21, 2020, with the preservation number GDMCC No. 61202. The Oscillospiraceae sp. LBM10036 of the disclosure has the capability to utilize diverse substrates and high product specificity, adapts to low pH, and can efficiently synthesize caproic acid under a pH of 5.0-5.5. The strain used in the disclosure can be used for strengthening microorganisms in pit mud, and improving the quality of degraded pit mud, to improve the quality of Strong aroma-type Baijiu, and also can be used for producing caproic acid from a variety of sugars and lactic acid by microbial fermentation.

Abstract: Some embodiments of this specification provide face liveness detection computer-implemented methods, devices, and media. In an example, multiple face images continuously captured for a first user are obtained. Two face images are selected from the multiple face images for a target attribute in one or more predetermined image attributes, where a degree of difference between two attribute values of the target attribute corresponding to the two face images satisfies a predetermined criterion. Both of the two face images are input into a pre-trained face liveness detection model corresponding to the target attribute to obtain a detection result corresponding to the target attribute.

Abstract: A wearable device may include a head-mounted display (HMD) for rendering a three-dimensional (3D) virtual object which appears to be located in an ambient environment of a user of the display. The relative positions of the HMD and one or more eyes of the user may not be in desired positions to receive, or register, image information outputted by the HMD. For example, the HMD-to-eye alignment may vary for different users and may change over time (e.g., as a user moves around and/or the HMD slips or is otherwise displaced). The wearable device may determine a relative position or alignment between the HMD and the user's eyes. Based on the relative positions, the wearable device may determine if it is properly fitted to the user, may provide feedback on the quality of the fit to the user, and may take actions to reduce or minimize effects of any misalignment.

Abstract: Features described herein generally relate to learning and recognizing object-centered routines. Particularly, object-centered routines can be learned and recognized by collecting data corresponding to a user. The data can include information representing interactions by the user with respect to objects in an environment. The routine can be learned by presenting a visual graph to the user. The user can define nodes associating an interaction with an object, specify a relationship between nodes, and arrange the nodes into segments. The visual graph can be stored, and a routine can be recognized based on the visual graph.

Abstract: The present disclosure pertains to techniques for reducing inaccuracies in context aware policies (CAP) with real-time feedforward validation in extended reality environments. In a particular aspect, a extended reality system is configured to author, by a user using the head-mounted device, a rule or policy or context aware policy (CAP) including one or more target actions and triggering context instances, capture, using one or more sensors, context history records for the user, render, by the head-mounted device, one or more validation scenes based on the rule or policy or CAP and the context history records, validate, by the user using the head-mounted device, the one or more validation scenes within an extended reality environment, and update, by the user using the head-mounted device, the rule or policy or CAP based on the validation.

Abstract: The present disclosure relates to systems and methods for defining and modifying behavior in an extended reality environment. The systems and methods include receiving a request to build or modify a rule or policy for a given user or activity, obtaining a template based on the user or the activity, displaying the template and tools for editing the template, receiving a modification to the template via the user interacting with the tools of the user interface, and modifying the template based on the modification to generate the rule or policy. The modification includes changing the initial value for the actions or the conditions of the template and saving the template as a separate instance representative of the rule or policy, and the rule or policy includes one or more conditional statements for executing one or more of the actions based on evaluation of one or more of the conditions.

Abstract: Features described herein generally relate to generating and modifying policies with an artificial intelligence (AI) platform based on user activities. Particularly, data comprising characteristics of activities performed by a user in real-world and virtual environments is collected, a control structure is predicted based on the data and model parameters learned from historical policies, and a new policy is generated or a pre-existing policy is modified based on the control structure.

Abstract: The present disclosure relates to refining context aware policies in extended reality systems. In one aspect, an extended reality system is provided that performs operations including: accessing data collected from user interactions while using a context aware policy in an extended reality environment, determining a support set and confidence score for the context aware policy based on the data, generating replacement policies for the context aware policy, determining a support set and confidence score for each of the replacement policies based on the data, identifying a replacement policy from the replacement policies as a replacement for the context aware policy based on the support sets and confidence scores, and updating one or more conditions or an action defined by the context aware policy with a modified version of the one or more conditions or the action defined by the replacement policy to generate an updated context aware policy.

Abstract: The present disclosure relates to defining and modifying behavior in an extended reality environment. The systems and methods include capturing, using the one or more audio sensors, a natural language explanation of a rule or policy from the user, extracting features from the natural language explanation of the rule or policy, wherein the features include one or more conditions, one or more actions, and connections between the one or more events, conditions, and actions, predicting a control structure comprised of one or more conditional statements based on the extracted features and model parameters learned from historical rules or policies, and generating the rule or policy based on the control structure, wherein the rule or policy comprises the one or more conditional statements for executing the one or more actions based on evaluation of the one or more conditions.

Abstract: Features described herein generally relate to predicting policies with an artificial intelligence (AI) platform based on shared or similar interactions. Particularly, data that includes information about users and a corpus of policies is collected, embeddings are generated for the collected data, and policies are predicted based on the embeddings. The policies can be predicted based on content-based filtering, collaborative filtering, and/or game theory approaches.

Abstract: The present disclosure relates to techniques for using interface mechanisms to recover from inaccurate predictions. Particularly, aspects are directed to collecting input data from a user that includes characteristics of activities performed by the user, extracting features from the input data, predicting a recommendation for the user based on the features, generating a user interface comprising one or more graphical user interface elements configured to enable the user to recovery from the recommendation when the recommendation is inaccurate, rendering the recommendation and the user interface on the display, receiving a request from the user via the user interface to recovery from the inaccurate recommendation, where the request includes selection of an option to generate a new recommendation, modify the recommendation, or a combination thereof, generate a response based on the received request from the user, and render the response to the user on the display.

Abstract: Systems and methods for regulating the speed of movement of virtual objects presented by a wearable system are described. The wearable system may present three-dimensional (3D) virtual content that moves, e.g., laterally across the user's field of view and/or in perceived depth from the user. The speed of the movement may follow the profile of an S-curve, with a gradual increase to a maximum speed, and a subsequent gradual decrease in speed until an end point of the movement is reached. The decrease in speed may be more gradual than the increase in speed. This speed curve may be utilized in the movement of virtual objections for eye-tracking calibration. The wearable system may track the position of a virtual object (an eye-tracking target) which moves with a speed following the S-curve. This speed curve allows for rapid movement of the eye-tracking target, while providing a comfortable viewing experience and high accuracy in determining the initial and final positions of the eye as it tracks the target.

Abstract: A wearable device may include a head-mounted display (HMD) for rendering a three-dimensional (3D) virtual object which appears to be located in an ambient environment of a user of the display. The relative positions of the HMD and one or more eyes of the user may not be in desired positions to receive, or register, image information outputted by the HMD. For example, the HMD-to-eye alignment may vary for different users and change over time (e.g., as a given user moves around or as the HMD slips or otherwise becomes displaced). The wearable device may determine a relative position or alignment between the HMD and the user's eyes. Based on the relative positions, the wearable device may determine if it is properly fitted to the user, may provide feedback on the quality of the fit to the user, and may take actions to reduce or minimize effects of any misalignment.

Abstract: A wearable device may include a head-mounted display (HMD) for rendering a three-dimensional (3D) virtual object which appears to be located in an ambient environment of a user of the display. The relative positions of the HMD and one or more eyes of the user may not be in desired positions to receive, or register, image information outputted by the HMD. For example, the HMD-to-eye alignment may vary for different users and may change over time (e.g., as a given user moves around or as the HMD slips or otherwise becomes displaced). The wearable device may determine a relative position or alignment between the HMD and the user's eyes by determining whether features of the eye are at certain vertical positions relative to the HMD. Based on the relative positions, the wearable device may determine if it is properly fitted to the user, provide feedback on the quality of the fit to the user, and take actions to reduce or minimize effects of any misalignment.

Abstract: A prediction method for changes of physical parameters after earthquakes includes: obtaining a precipitable water vapor after an earthquake in a target monitoring area during a historical period; verifying the accuracy of the precipitable water vapor collected in the historical period; obtaining thermal anomaly data of the land surface temperature after the earthquake in the target monitoring area during the historical period; determining a time difference between peak of the precipitable water vapor and peak of the thermal anomaly of the land surface temperature; when the earthquake occurs again in the target monitoring area, detecting a time point corresponding to the peak of the thermal anomaly of the land surface temperature in the target monitoring area, adding the time point to the time difference to obtain a predicted time point of the peak of precipitable water vapor, and outputting the predicted time point as a time point of secondary disaster.

Abstract: The present disclosure discloses a method for directed design and regulation of fermented food based on flavor group and its application, belonging to the fields of biology and food technology. The method involves the analysis of a significant number of fermented food samples, resulting in the identification of 20 core flavor components and six highly productive functional microorganisms associated with these core flavor components. Mathematical models have been constructed based on the correlation between the core flavor components and the microbial community structure. The method allows for the directed design and regulation of flavor components during the production of fermented food, ensuring stable production of fermented foods.

Abstract: Provided is a material for use in a hydrogen storage structure, a hydrogen storage single tube, and a material composition for a hydrogen storage structure used for the preparation of the material for use in the hydrogen storage structure and the hydrogen storage single tube. The hydrogen storage single tube is provided with a honeycomb- shaped high pressure hydrogen storage structure with a micron-sized pore diameter and is lightweight. A hydrogen storage structure having a pore diameter of 150 ?m and a pipe wall thickness of 35 ?m has an ultimate pressure of >200 MPa, a Rockwell hardness of 86-89, a high temperature resistance of >1900° C., a low temperature resistance of <?260° C., low thermal conductivity, high temperature thermal insulation, and strong acid and alkali resistance. In a high density hydrogen work atmosphere and a complicated dynamic environment, the high pressure hydrogen storage structure is very stable.

Abstract: The present application provides an output driving circuit and a memory. The output driving circuit includes: a signal input terminal inputting a positive input signal and a negative input signal complementary to each other; a pull-up output unit and a pull-down output unit connected to the signal input terminal, the positive input signal acting as an input signal of the pull-up output unit, and the negative input signal acting as an input signal of the pull-down output unit; at least one compensation unit connected in parallel with the pull-up or pull-down output unit; at least one pulse signal generation circuit, and generating a pulse signal, the pulse signal acting as a control signal of the compensation unit; and a signal output terminal connected to an output terminal of the pull-up output unit, an output terminal of the pull-down output unit and an output terminal of the compensation unit.

Abstract: A method and system for monitoring an extraordinary rainstorm based on multi-source data is provided. The method includes: acquiring a current moment of a target region; dividing a target time period into n rain events by means of a time window; inverting precipitable water vapor within each rain event; acquiring an accumulated rainfall per m hours within each rain event; computing, according to precipitable water vapor and the accumulated rainfall per m hours within each rain event, a mutual conversion speed V between the precipitable water vapor and the accumulated rainfall; indicating, if the conversion speed is greater than or equal to 1, that a rainfall is excessive and the extraordinary rainstorm is going to occur after the current moment; and indicating, if the conversion speed is less than 1, the rainfall is insufficient and the extraordinary rainstorm is about to end.