Abstract: A confidentiality preserving system and method for performing a rank-ordered search and retrieval of contents of a data collection. The system includes at least one computer system including a search and retrieval algorithm using term frequency and/or similar features for rank-ordering selective contents of the data collection, and enabling secure retrieval of the selective contents based on the rank-order. The search and retrieval algorithm includes a baseline algorithm, a partially server oriented algorithm, and/or a fully server oriented algorithm. The partially and/or fully server oriented algorithms use homomorphic and/or order preserving encryption for enabling search capability from a user other than an owner of the contents of the data collection. The confidentiality preserving method includes using term frequency for rank-ordering selective contents of the data collection, and retrieving the selective contents based on the rank-order.

Abstract: A data query method supporting a natural language, an open platform, and a user terminal are provided, where the method includes: receiving, by the open platform, a natural language query statement sent by the user terminal, and transforming the natural language query statement into a query statement that is recognizable by a third-party content provider; sending, by the open platform, the query statement that is recognizable to one or more third-party content providers; receiving, by the open platform, one or more query response messages returned by the one or more third-party content providers according to the query statement that is recognizable; and sending, by the open platform, the one or more query response messages to the user terminal.

Abstract: A data query method supporting a natural language, an open platform, and a user terminal are provided, where the method includes: receiving, by the open platform, a natural language query statement sent by the user terminal, and transforming the natural language query statement into a query statement that is recognizable by a third-party content provider; sending, by the open platform, the query statement that is recognizable to one or more third-party content providers; receiving, by the open platform, one or more query response messages returned by the one or more third-party content providers according to the query statement that is recognizable; and sending, by the open platform, the one or more query response messages to the user terminal. A difficulty in accessing the open platform by the third-party content provider can be reduced.

Abstract: A deep learning based dialog method, apparatus, and device are provided and belong to the field of artificial intelligence. The method includes: obtaining a to-be-replied statement, encoding the to-be-replied statement to obtain a first vector , where the first vector is a representation of the to-be-replied statement; obtaining dialog history information corresponding to the to-be-replied statement, and the attention vector is used to represent search intent; making each dialog statement interact with the attention vector, so as to extract information related to the search intent from the dialog statement to obtain a plurality of result vectors, generating a to-be-decoded vector based on the plurality of result vectors, and decoding the to-be-decoded vector to obtain a next word in the reply statement. In the method, the reply statement refers to a dialog history.

Abstract: Described herein are chimeric polypeptides that include one or more Rubisco-binding motifs (RBMs) and a heterologous polypeptide. Additional aspects of the present disclosure provide genetically altered plants having a chimeric polypeptide including one or more Rubisco-binding motifs (RBMs) and a heterologous polypeptide. Further aspects of the present disclosure relate to genetically altered plants having a stabilized polypeptide including two or more RBMs and one or both of an algal Rubisco-binding membrane protein (RBMP) and a Rubisco small subunit (SSU) protein. Other aspects of the present disclosure relate to methods of making such chimeric polypeptides and plants, as well as cultivating these genetically altered plants.

Abstract: The disclosure provides a biodegradable material and its preparation method and application, which solves the problems of a harsh preparation condition of a biodegradable material, a rough surface on a film formed by the prepared biodegradable material, pores existing in a cross section. The biodegradable material of the present disclosure is high in preparation efficiency and simple in preparation process and energy consumption saving without necessary high-temperature and high-pressure conditions. There is no obvious difference between its degradation performance and the degradation performance of the biodegradable material prepared by the conventional high-temperature high-pressure method. The biodegradable material is suitable for preparing a film to be applied to a field of packaging materials. The prepared film may be completely degraded in about 15 days.

Abstract: The disclosure relates to a system and method for facilitating geospatial processing and analysis of datasets and providing a visualization of geospatial analytics data over a network. The platform utilizes a discrete global grid system to partition an area (e.g., a map, a city, a state, a country, a continent, the world, etc.) into a set of discrete grid cells. The set of grid cells can be subdivided into finer resolutions of grids. In examples, the platform generates and employs the use of hex tiles for the grid cells.

Abstract: Examples of extended reality environment generation are provided. The techniques for extended reality environment generation may include receiving digital content and metadata associated with a physical environment and generating a digital layout of the physical environment by scaling the received digital content. Next, Global Positioning System (GPS) coordinates and functional coordinates are associated with placement locations in the digital layout. Further, a pre-defined placement of an asset is received in the digital layout and a set of GPS coordinates and a set of functional coordinates are identified for the asset placed in the digital layout. Next, the set of GPS coordinates and the set of functional coordinates are associated with metadata of the asset and the asset stored along with the metadata as a model linked with the digital layout. Further, an extended reality environment for the physical environment is generated with the assets by extracting the model.

Abstract: A confidentiality preserving system and method for performing a rank-ordered search and retrieval of contents of a data collection. The system includes at least one computer system including a search and retrieval algorithm using term frequency and/or similar features for rank-ordering selective contents of the data collection, and enabling secure retrieval of the selective contents based on the rank-order. The search and retrieval algorithm includes a baseline algorithm, a partially server oriented algorithm, and/or a fully server oriented algorithm. The partially and/or fully server oriented algorithms use homomorphic and/or order preserving encryption for enabling search capability from a user other than an owner of the contents of the data collection. The confidentiality preserving method includes using term frequency for rank-ordering selective contents of the data collection, and retrieving the selective contents based on the rank-order.

Abstract: There is provided a fiber-reinforced brittle matrix composite. The fiber-reinforced brittle matrix composite comprises a brittle matrix material (for example, a cementitious or ceramics material) and a coated fiber embedded in the brittle matrix material, wherein the coated fiber comprises a fiber (for example, polyethylene fiber, glass fiber, silicon carbide fiber, alumina fiber, mullite fiber) and a coating material (for example, carbon nanofibers, carbon nanotubes), which is non-covalently disposed on the fiber. A method for producing the fiber-reinforced brittle matrix composite is also provided. The method comprises providing a fiber, disposing a coating material on the fiber to form a coated fiber, wherein the coating material is non-covalently disposed on the fiber, and embedding the coated fiber in a brittle matrix material to obtain the fiber-reinforced brittle matrix composite.

Abstract: A method, apparatus and system for detecting structural variations is provided.

Abstract: The present disclosure provides for immune cells with improved function and properties. Immune cells that overexpress, or ectopically express, autophagy modulators are provided. Increased expression of autophagy modulators can improve the function of a T cell or an NK cell expressing chimeric antigen receptors (CARs). For example, CAR-T cells that ectopically express ATG5 or ATG7 exhibit improved stimulation in response to antigen.

Abstract: The invention provides compositions and methods for generating improved T cells having increased Ezh2 activity and methods of use thereof in the treatment of cancer and chronic infection.

Abstract: An event analysis system receives events in a time-series from a set of monitored systems and identifies a set of alert threshold values for each of the types of events to identify outliers in the time-series at an evaluated time. Portions of historic event data is selected to identify windows of event data near the evaluated time at a set of seasonally-adjusted times to predict the value of the event type. The alert threshold value may also account for a prediction based on recent, higher-frequency events. Using the alert threshold values for a plurality of event types, the event data is compared with the alert threshold values to determine an alert level for the data. The event data types are also clustered and displayed with the alert levels to provide a visualization of the event data and identify outliers when the new event data is received.

Abstract: A data query method supporting a natural language, an open platform, and a user terminal are provided, where the method includes: receiving, by the open platform, a natural language query statement sent by the user terminal, and transforming the natural language query statement into a query statement that is recognizable by a third-party content provider; sending, by the open platform, the query statement that is recognizable to one or more third-party content providers; receiving, by the open platform, one or more query response messages returned by the one or more third-party content providers according to the query statement that is recognizable; and sending, by the open platform, the one or more query response messages to the user terminal. A difficulty in accessing the open platform by the third-party content provider can be reduced.

Abstract: A data query method supporting a natural language, an open platform, and a user terminal are provided, where the method includes: receiving, by the open platform, a natural language query statement sent by the user terminal, and transforming the natural language query statement into a query statement that is recognizable by a third-party content provider; sending, by the open platform, the query statement that is recognizable to one or more third-party content providers; receiving, by the open platform, one or more query response messages returned by the one or more third-party content providers according to the query statement that is recognizable; and sending, by the open platform, the one or more query response messages to the user terminal. A difficulty in accessing the open platform by the third-party content provider can be reduced.

Abstract: A deep learning based dialog method, apparatus, and device are provided and belong to the field of artificial intelligence. The method includes: obtaining a to-be-replied statement, encoding the to-be-replied statement to obtain a first vector , where the first vector is a representation of the to-be-replied statement; obtaining dialog history information corresponding to the to-be-replied statement, and the attention vector is used to represent search intent; making each dialog statement interact with the attention vector, so as to extract information related to the search intent from the dialog statement to obtain a plurality of result vectors, generating a to-be-decoded vector based on the plurality of result vectors, and decoding the to-be-decoded vector to obtain a next word in the reply statement. In the method, the reply statement refers to a dialog history.

Abstract: An event analysis system receives events in a time-series from a set of monitored systems and identifies a set of alert threshold values for each of the types of events to identify outliers in the time-series at an evaluated time. Portions of historic event data is selected to identify windows of event data near the evaluated time at a set of seasonally-adjusted times to predict the value of the event type. The alert threshold value may also account for a prediction based on recent, higher-frequency events. Using the alert threshold values for a plurality of event types, the event data is compared with the alert threshold values to determine an alert level for the data. The event data types are also clustered and displayed with the alert levels to provide a visualization of the event data and identify outliers when the new event data is received.

Abstract: Methods are provided for generating DLL4-expressing immune cells. The invention also includes cellular compositions of dendritic and T cells produced by these methods. The immune cells of the invention can be used widely as components in many diagnostic and therapeutic systems, including improved vaccines to reduce the risk of graft versus host disease.

Abstract: An event analysis system receives events in a time-series from a set of monitored systems and identifies a set of alert threshold values for each of the types of events to identify outliers in the time-series at an evaluated time. Portions of historic event data is selected to identify windows of event data near the evaluated time at a set of seasonally-adjusted times to predict the value of the event type. The alert threshold value may also account for a prediction based on recent, higher-frequency events. Using the alert threshold values for a plurality of event types, the event data is compared with the alert threshold values to determine an alert level for the data. The event data types are also clustered and displayed with the alert levels to provide a visualization of the event data and identify outliers when the new event data is received.