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: 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 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 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 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 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 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: Provided are an HPV chimeric protein and a use thereof. The HPV chimeric protein of the present invention comprises an HPV58 L1 protein or a mutant thereof and a polypeptide derived from a HPV16 L2 protein and inserted into a surface region of the HPV58 L1 protein or the mutant thereof, or consists of the polypeptide, wherein an amino acid sequence of the HPV58 L1 protein is as shown in SEQ ID No. 1 and an amino acid sequence of the HPV16 L2 protein is as shown in SEQ ID No. 2.

Abstract: A power generation apparatus and a power system are provided. The power generation apparatus includes a first transportation means, a gas turbine and a generator, the first transportation means has a first platform, a first housing is provided on the first platform, the gas turbine is arranged in the first housing and has a first input terminal and a first output terminal, the generator is arranged in the first housing and has a second input terminal and a second output terminal, the first output terminal is connected with the second input terminal.

Abstract: The invention provides an instrument scrap evaluation method based on cloud platform big data management, which belongs to the field of information management. The evaluation method uses cloud platform to download, store, integrate and modify the benchmark operating state data, store the current vital data, current operating data and current operating state data of the instrument. Using operation evaluation subsystem of current life data, the current running data with reference data and the benchmark run corresponding comparative analysis of the data made for current running status data, then compared with the running state of the benchmark data analysis, get the evaluation results, and output the corresponding alarm, operations staff to alarm apparatus for artificial judgment.

Abstract: The present disclosure relates to a radiating element, which includes: a dipole arm configured to emit first electromagnetic radiation within a pre-determined first operating frequency band; and a parasitic radiator, configured such that a first induced current induced on the parasitic radiator within a second operating frequency band at least partially cancels a second induced current induced on the dipole arm within the second operating frequency band. In addition, the present disclosure relates to a base station antenna, including: a first radiating element array, configured to emit first electromagnetic radiation within a pre-determined first operating frequency band, and at least a part of first radiating elements in the first radiating element array is constructed as radiating elements according to the present disclosure; a second radiating element array, configured to emit second electromagnetic radiation within a pre-determined second operating frequency band.

Abstract: Provided are a recombinant microorganism modified by means of genetic engineering and an application of the recombinant microorganism in production of tagatose, a preparation method for the recombinant microorganism, a tagatose production strain and a tagatose production method. According to the recombinant microorganism, the tagatose is produced by taking glucose as a substrate or taking glycerol and glucose as substrates; the efficiency of conversion and production of tagatose by means of the recombinant microorganism is high, and a multi-enzyme purification process step is not needed.

Abstract: Provided are a radio frequency front-end module, an antenna system and an electronic device. The radio frequency front-end module includes an antenna switch module connected with a first antenna interface, a first amplifier unit, a second amplifier unit, and a first switch unit. The first amplifier unit is configured to amplify a signal at a first frequency band and transmit the signal to the antenna switch module. The first switch unit is connected with each of a second antenna interface and the antenna switch module. The second amplifier unit is configured to amplify a signal at a second frequency band and transmit the signal to the first switch unit. The first switch unit is configured to transmit the signal at the second frequency band to the second antenna interface or the antenna switch module.

Abstract: The present application relates to a modified human papillomavirus (HPV) type 52 L1 protein and a use thereof. Specifically, the present application relates to a HPV type 52 L1 protein, a nucleotide encoded thereby, a carrier comprising the nucleotide, a cell comprising the carrier, a pentamer or virus-like particle consisting of the HPV-52 L1 protein, a vaccine comprising the pentamer or virus-like particle and a vaccine adjuvant, and a use thereof in the prevention of HPV infections and HPV infection-related diseases.

Abstract: The present application relates to a C-terminus modified human papillomavirus type 11 L1 protein and the use thereof. Specifically, the present application relates to a C-terminus modified human papillomavirus (HPV) type 11 L1 protein, a nucleotide encoded thereby, a vector containing the nucleotide, a cell containing the vector, a pentamer or virus-like particle composed of the HPV11 L1 protein, and a vaccine containing the pentamer or virus-like particle and a vaccine adjuvant, and the use thereof in the prevention of HPV infection and HPV infection-related diseases.

Abstract: The present application relates to a C-terminus modified human papillomavirus type 6 L1 protein and use thereof. Specifically, the present application relates to a C-terminus modified human papillomavirus (HPV) type 6 L1 protein, an encoded nucleotide thereof, a vector comprising the nucleotide, a cell comprising the vector, a pentamer or virus-like particle composed of the HPV6 L1 protein, a vaccine containing the pentamer or virus-like particle and a vaccine adjuvant, and the use thereof in prevention of HPV infection and HPV infection-related diseases.

Abstract: A method of storing data includes: determining the write priority of data, in response to a write request for data by a host; writing the data into a first type of memory cell, in response to the write priority of data being a first write priority; and writing the data into a second type of memory cell, in response to the write priority of data being a second write priority. The second write priority is higher than the first write priority, and the write speed of the second type of memory cell is higher than the write speed of the first type of memory cell.

Abstract: A system and method for altering the visual appearance of moving physical forms is disclosed. The moving physical forms may include solids, liquids, gasses and any combination thereof. The system and method may include video capturing devices for capturing video footage of the moving forms, a controller for altering the captured video footage of the moving forms, and video projecting devices for projecting the altered video footage back onto the moving forms.

Abstract: This disclosure generally relates to power generation methods and systems based on gas turbine engines, and particularly to mobile and adaptive power generation systems and methods based on gas turbine engine for supplying mechanical and/or electrical power for fracturing operations at an oil wellsite. Various systems, platforms, components, devices, and methods are provided for flexibly and adaptively configure one of more gas turbines, hydraulic pumps, and electric generators to support both fracturing and electric demands at a well site. The disclosed implementations enable and facilitate a mobile, adaptive, and reconfigurable power system to provide both mechanical and electric power for hydraulic fracturing operation.