Abstract: The present disclosure is directed to systems, methods and devices for providing customizable enterprise-based policy for managing document content. Text from documents being authored and edited may be processed by one or more natural language processing and machine learning modules and a determination may be made that one or more enterprise rules relating to processed text are implicated. Properties from documents being authored and edited may be processed. Recommendations based on the one or more implicated enterprise rules may be provided to a document author to provide an enhanced reader experience and to increase the document's effectiveness or alignment to a common voice or standards amongst the content group. Analytics relating to a plurality of enterprise documents may be provided as they relate to document effectiveness or alignment to a prescribed voice or standards.

Abstract: A process for upgrading residuum hydrocarbons is disclosed. The process may include: contacting a residuum hydrocarbon fraction and hydrogen with a first hydroconversion catalyst in a first ebullated bed hydroconversion reactor system; recovering a first effluent from the first ebullated bed hydroconversion reactor system; solvent deasphalting a vacuum residuum fraction to produce a deasphalted oil fraction and an asphalt fraction; contacting the deasphalted oil fraction and hydrogen with a second hydroconversion catalyst in a second hydroconversion reactor system; recovering a second effluent from the second hydroconversion reactor system; and fractionating the first effluent from the first ebullated bed hydroconversion reactor system and the second effluent from the second hydroconversion reactor system to recover one or more hydrocarbon fractions and the vacuum residuum fraction in a common fractionation system.

Abstract: The present disclosure is directed to systems, methods and devices for providing customizable enterprise-based policy for managing document content. Text from documents being authored and edited may be processed by one or more natural language processing and machine learning modules and a determination may be made that one or more enterprise rules relating to processed text are implicated. Properties from documents being authored and edited may be processed. Recommendations based on the one or more implicated enterprise rules may be provided to a document author to provide an enhanced reader experience and to increase the document's effectiveness or alignment to a common voice or standards amongst the content group. Analytics relating to a plurality of enterprise documents may be provided as they relate to document effectiveness or alignment to a prescribed voice or standards.

Abstract: A process for upgrading residuum hydrocarbons is disclosed. The process may include: contacting a residuum hydrocarbon fraction and hydrogen with a first hydroconversion catalyst in a first ebullated bed hydroconversion reactor system; recovering a first effluent from the first ebullated bed hydroconversion reactor system; solvent deasphalting a vacuum residuum fraction to produce a deasphalted oil fraction and an asphalt fraction; contacting the deasphalted oil fraction and hydrogen with a second hydroconversion catalyst in a second hydroconversion reactor system; recovering a second effluent from the second hydroconversion reactor system; and fractionating the first effluent from the first ebullated bed hydroconversion reactor system and the second effluent from the second hydroconversion reactor system to recover one or more hydrocarbon fractions and the vacuum residuum fraction in a common fractionation system.

Abstract: An object is zoomed upon selection. A scaling factor is calculated for zooming the object based on current viewing properties of a document and properties of the object as well as the current size of the application window and device. The scaling factor to zoom the object is calculated such that after the object is zoomed, viewing the object is similar to a viewing experience for the rest of the document. Text of the document may be displayed to increase the readability of the document. For example, the text may be displayed such that each line of displayed text averages out to a predetermined number of characters (e.g. 50-75 characters) per line. A display size and width of an average character are determined and used to calculate how many columns of text to display within the display. When the zoom level of the text changes, the text is redisplayed.

Abstract: A process for upgrading residuum hydrocarbons is disclosed. The process may include: contacting a residuum hydrocarbon fraction and hydrogen with a first hydroconversion catalyst in a first ebullated bed hydroconversion reactor system; recovering a first effluent from the first ebullated bed hydroconversion reactor system; solvent deasphalting a vacuum residuum fraction to produce a deasphalted oil fraction and an asphalt fraction; contacting the deasphalted oil fraction and hydrogen with a second hydroconversion catalyst in a second hydroconversion reactor system; recovering a second effluent from the second hydroconversion reactor system; and fractionating the first effluent from the first ebullated bed hydroconversion reactor system and the second effluent from the second hydroconversion reactor system to recover one or more hydrocarbon fractions and the vacuum residuum fraction in a common fractionation system.

Abstract: A process for upgrading residuum hydrocarbons is disclosed. The process may include: contacting a residuum hydrocarbon fraction and hydrogen with a first hydroconversion catalyst in a first ebullated bed hydroconversion reactor system; recovering a first effluent from the first ebullated bed hydroconversion reactor system; solvent deasphalting a vacuum residuum fraction to produce a deasphalted oil fraction and an asphalt fraction; contacting the deasphalted oil fraction and hydrogen with a second hydroconversion catalyst in a second hydroconversion reactor system; recovering a second effluent from the second hydroconversion reactor system; and fractionating the first effluent from the first ebullated bed hydroconversion reactor system and the second effluent from the second hydroconversion reactor system to recover one or more hydrocarbon fractions and the vacuum residuum fraction in a common fractionation system.

Abstract: A process for upgrading residuum hydrocarbons is disclosed. The process may include: contacting a residuum hydrocarbon fraction and hydrogen with a first hydroconversion catalyst in a first ebullated bed hydroconversion reactor system; recovering a first effluent from the first ebullated bed hydroconversion reactor system; solvent deasphalting a vacuum residuum fraction to produce a deasphalted oil fraction and an asphalt fraction; contacting the deasphalted oil fraction and hydrogen with a second hydroconversion catalyst in a second hydroconversion reactor system; recovering a second effluent from the second hydroconversion reactor system; and fractionating the first effluent from the first ebullated bed hydroconversion reactor system and the second effluent from the second hydroconversion reactor system to recover one or more hydrocarbon fractions and the vacuum residuum fraction in a common fractionation system.

Abstract: A process for upgrading residuum hydrocarbons is disclosed. The process may include: contacting a residuum hydrocarbon fraction and hydrogen with a first hydroconversion catalyst in a first ebullated bed hydroconversion reactor system; recovering a first effluent from the first ebullated bed hydroconversion reactor system; solvent deasphalting a vacuum residuum fraction to produce a deasphalted oil fraction and an asphalt fraction; contacting the deasphalted oil fraction and hydrogen with a second hydroconversion catalyst in a second hydroconversion reactor system; recovering a second effluent from the second hydroconversion reactor system; and fractionating the first effluent from the first ebullated bed hydroconversion reactor system and the second effluent from the second hydroconversion reactor system to recover one or more hydrocarbon fractions and the vacuum residuum fraction in a common fractionation system.

Abstract: A process for upgrading residuum hydrocarbons and decreasing tendency of the resulting products toward asphaltenic sediment formation in downstream processes is disclosed. The process may include: contacting a residuum hydrocarbon fraction and hydrogen with a hydroconversion catalyst in a hydrocracking reaction zone to convert at least a portion of the residuum hydrocarbon fraction to lighter hydrocarbons; recovering an effluent from the hydrocracking reaction zone; contacting hydrogen and at least a portion of the effluent with a resid hydrotreating catalyst; and separating the effluent to recover two or more hydrocarbon fractions.

Abstract: An object is zoomed upon selection. A scaling factor is calculated for zooming the object based on current viewing properties of a document and properties of the object as well as the current size of the application window and device. The scaling factor to zoom the object is calculated such that after the object is zoomed, viewing the object is similar to a viewing experience for the rest of the document. Text of the document may be displayed to increase the readability of the document. For example, the text may be displayed such that each line of displayed text averages out to a predetermined number of characters (e.g. 50-75 characters) per line. A display size and width of an average character are determined and used to calculate how many columns of text to display within the display. When the zoom level of the text changes, the text is redisplayed.

Abstract: A software development tool for programming natural language software applications is described. The software development tool includes a programming language and a compiler. The programming language has a set of programming constructs for facilitating natural language programming. The compiler is adapted to take a software program containing instances of the set of programming constructs and to generate a software application.

Abstract: A framework for generating a semantic interpretation of natural language input includes an interpreter, a first set of types, and a second set of types. The interpreter is adapted to mediate between a client application and one or more analysis engines to produce interpretations of the natural language input that are valid for the client application. The first set of types is adapted to define interactions between the interpreter and the one or more analysis engines. The second set of types is adapted to define interactions between the interpreter and the client application.

Abstract: A lexical semantic structure for modeling semantics of a natural language input on a computer is described. A set of lexical semantic categories is selected to model content of the natural language input. A methodology associates content of the natural language input to one or more categories of the set of lexical semantic categories.

Abstract: A linguistic object model is adapted to model semantic elements of a natural language. The linguistic object model includes a set of abstract representations of semantic elements of an utterance. Each abstract representation in the set corresponds to a natural language type that is independent of any particular language.