Abstract: Techniques for populating the fields of a form are disclosed. A machine learning model may be trained to predict associations between fields. The trained machine learning model may be applied to a plurality of forms to predict an association between a first field in a first form type and a second field in a second form type. Upon receiving a value for a first field in a first form of a first form type and based on the predicted association, the system may populate a second field of a second form of the second form type based on the value.

Abstract: Techniques for populating the fields of a form are disclosed. A machine learning model may be trained to predict associations between fields. The trained machine learning model may be applied to a plurality of forms to predict an association between a first field in a first form type and a second field in a second form type. Upon receiving a value for a first field in a first form of a first form type and based on the predicted association, the system may populate a second field of a second form of the second form type based on the value.

Abstract: Techniques for populating the fields of a form are disclosed. A machine learning model may be trained to predict associations between fields. The trained machine learning model may be applied to a plurality of forms to predict an association between a first field in a first form type and a second field in a second form type. Upon receiving a value for a first field in a first form of a first form type and based on the predicted association, the system may populate a second field of a second form of the second form type based on the value.

Abstract: Techniques for populating the fields of a form are disclosed. A machine learning model may be trained to predict associations between fields. The trained machine learning model may be applied to a plurality of forms to predict an association between a first field in a first form type and a second field in a second form type. Upon receiving a value for a first field in a first form of a first form type and based on the predicted association, the system may populate a second field of a second form of the second form type based on the value.

Abstract: Systems and methods described herein relate to runtime completion of web component metadata. Execution of a loader script of a web component may call a registration application programming interface (API) and provide component-specific metadata of the web component to the registration API. Execution of the registration API may provide a rendering engine with completed metadata of the web component, combining the component-specific metadata of the web component with a web component signature (e.g., a standard metadata signature that indicates a plurality of properties of the web component) to produce the completed metadata of the web component. The execution of the registration API may also store an entry in a component registry of the rendering engine that associates a name of the web component with the completed metadata of the web component.

Abstract: This application provides an aluminum alloy, an electronic device, and an aluminum alloy preparation method. The aluminum alloy, based on mass percentage, includes the following components: silicon: 8.0%-10.0%, magnesium: 0.001%-0.2%, manganese: 0.001%-0.09%, iron: 0.7%-1.3%, and strontium: 0.001%-0.05%, with a balance of aluminum and inevitable impurities, where the inevitable impurities account for ?0.15%. The aluminum alloy has characteristics of a high heat conductivity, good molding performance, favorable corrosion resistance, and favorable mechanical properties without heat treatment.

Abstract: Systems and methods described herein relate to runtime completion of web component metadata. Execution of a loader script of a web component may call a registration application programming interface (API) and provide component-specific metadata of the web component to the registration API. Execution of the registration API may provide a rendering engine with completed metadata of the web component, combining the component-specific metadata of the web component with a web component signature (e.g., a standard metadata signature that indicates a plurality of properties of the web component) to produce the completed metadata of the web component. The execution of the registration API may also store an entry in a component registry of the rendering engine that associates a name of the web component with the completed metadata of the web component.

Abstract: The present application relates to the field of medicine. The present application relates to an isolated Saposhnikovia divaricata polysaccharide and use thereof in the manufacture of a medicament for treating diabetes mellitus or hyperlipoidemia. In particular, the present application relates to an isolated Saposhnikovia divaricata polysaccharide comprising L-arabinose, D-galacturonic acid, D-mannose, D-glucose and D-galactose, wherein the molar ratio of the L-arabinose: D-galacturonic acid: D-mannose: D-glucose: D-galactose is 1-15:1-10:1-10:10-40:1-15, preferably 1-5:5-10:1-5:20-25:1-5.

Abstract: Provided herein are an isolated Imperata cylindrica polysaccharide and use thereof in the manufacture of a medicament for treating hyperlipoidemia. The Imperata cylindrica polysaccharide comprises L-arabinose, D-xylose, D-mannose, D-glucose and D-galactose, wherein the molar ratio of the L-arabinose:D-xylose:D-mannose:D-glucose:D-galactose is 1-20:1-15:1-15:15-40:25-60.

Abstract: A system and method for facilitating personalization of one or more multi-instance software applications in a networked enterprise computing environment. An example method includes providing a first user option to specify one or more adjustments to a rendering of a software application; identifying one or more servers that are employed to obtain content for the rendering; and selectively providing information specifying the one or more adjustments to the one or more servers, such that the one or more adjustments appear in a rendering provided when a user accesses the software application from any of the one or more servers. In a more specific embodiment, the information specifying the one or more adjustments to the one or more servers include customization metadata (also called personalization metadata) stored on a first server, called the gateway server.

Abstract: A system and method for facilitating personalization of one or more multi-instance software applications in a networked enterprise computing environment. An example method includes providing a first user option to specify one or more adjustments to a rendering of a software application; identifying one or more servers that are employed to obtain content for the rendering; and selectively providing information specifying the one or more adjustments to the one or more servers, such that the one or more adjustments appear in a rendering provided when a user accesses the software application from any of the one or more servers. In a more specific embodiment, the information specifying the one or more adjustments to the one or more servers include customization metadata (also called personalization metadata) stored on a first server, called the gateway server.

Abstract: An automatic control system capable of executing a control program in parallel is described. The system includes more than one unit controller, each executing in parallel at least a part of the program to be executed by the automatic control system; a compiler, connected to one of the unit controllers, for converting the program to be executed by the automatic control system into tasks executed in parallel by the unit controllers; an interconnection network, for connecting the unit controllers, such that information on one of the unit controllers is transferred to another one via the interconnection network.