Abstract: A data programming method includes the following operations: assigning a first identity code to initial data according to a data type of the initial data; packing the first identity code, the initial data, and a check code to a new data packet; determining whether a first storage space in a flash memory stores a first data packet being the same as the new data packet; and if the first storage space does not store the first data packet, programming the new data packet to the first storage space in a first address sequence.

Abstract: The present disclosure relates to, inter alia, a method of quantitating an amount of an antibody molecule from a mixture comprising two or more antibody molecules, comprising separating each of the two or more antibody molecules from the mixture by hydrophobic interaction chromatography high performance liquid chromatography (HIC-HPLC) and quantitating an amount of each antibody molecule, wherein the molecular weight of each antibody molecule is within 15 kDa of any other antibody molecule in the mixture and either each antibody molecule is different from another antibody molecule in the mixture by more than about 0.25 unit on the Kyte & Doolittle hydropathy scale or each of the antibody molecules when nm alone on HIC-HPLC elutes at distinct run time with little overlap from the other antibody molecules in the mixture, or both.

Abstract: A computer-implemented method generates a trigger registration for a selected triggering type. The generated trigger registration is stored in a triggering persistency. A received event from an event persistency is analyzed and data associated with the analyzed event is compared with the triggering persistency. Based on the comparison and using a pattern execution framework, an enterprise threat detection (ETD) pattern is processed to perform actions responsive to the received event.

Abstract: A process for dehydrogenating alkane or alkylaromatic compounds comprising contacting the given compound and a dehydrogenation catalyst in a fluidized bed. The dehydrogenation catalyst is prepared from an at least partially deactivated platinum/gallium catalyst on an alumina-based support that is reconstituted by impregnating it with a platinum salt solution, then calcining it at a temperature from 400° C. to 1000° C., under conditions such that it has a platinum content ranging from 1 to 500 ppm, based on weight of catalyst; a gallium content ranging from 0.2 to 2.0 wt %; and a platinum to gallium ratio ranging from 1:20,000 to 1:4. It also has a Pt retention that is equal to or greater than that of a fresh catalyst being used in a same or similar catalytic process.

Abstract: A computer-implemented method, system, and computer program product for classifying a concept of a data item. A data item label for the data item is received. The data item label is analyzed using a natural language processing tool to generate additional lexical information for the data item label. A search query is built using the additional lexical information for the data item label. The search query is used to search a clue concept index to produce a search result. The clue concept index comprises clue concept records that identify clues for concepts. The search result identifies clue concept records from the clue concept index that match the search query. A concept is selected from the clue concept records identified in the search result as the concept for the data item.

Abstract: Techniques for generating a personality trait model are described. According to an example, a system is provided that can generate text data and linguistic data, and apply psycholinguistic data to the text data and the linguistic data, resulting in updated text data and updated linguistic data. The system is further operable to combine the updated text data with the updated linguistic data to generate a personality trait model. In various embodiments, the personality trait model can be trained and updated as additional data is received from various inputs.

Abstract: A computer-implemented method, system and computer program product for providing predictions tailored for a specific domain. Each field within a set of datasets is classified with a concept defined in a domain specific ontology. After receiving a target field and identifying a target concept tagged to the target field, concepts that have an influential impact directly to the target concept or indirectly to a concept tagged to a field associated with the target field are identified. Fields are then identified as candidates for predictors from the identified concepts using a semantic relationship and a numeric association combined approach. An influential confidence score and a numeric analytics score are then calculated for each of these candidates upon which a final confidence score is computed. The identified candidates are ranked based on the final confidence scores, and the top ranked candidates for predictors are selected to build a statistical model.

Abstract: A computer-implemented method, system, and computer program product for generating a semantic model of data comprising a plurality of data items. Semantic concepts are identified for each data item in the plurality of data items. Data concepts are identified for each data item in the plurality of data items based on data characteristics of the data item and using a data ontology that defines the data concepts that are used to represent the data characteristics. The semantic model of the data is generated using the semantic concepts and the data concepts identified for the plurality of data items.

Abstract: One or more entities are selected for which logged Events are to be displayed in an Event Series Chart. One or more filters and a timeframe are selected. Events are fetched from one or more selected log files based on the one or more selected filters and the timeframe. The fetched Events are displayed in an Event Series Chart according to an associated timestamp and identification Event property value associated with each fetched Event.

Abstract: Techniques for generating a personality trait model are described. According to an example, a system is provided that can generate text data and linguistic data, and apply psycholinguistic data to the text data and the linguistic data, resulting in updated text data and updated linguistic data. The system is further operable to combine the updated text data with the updated linguistic data to generate a personality trait model. In various embodiments, the personality trait model can be trained and updated as additional data is received from various inputs.

Abstract: A big data analytics system includes an event monitoring controller that detects a user targeted event from an initial digital query data flow. An event conversion controller determines at least one contextual element associated with the at least one user targeted event, and automatically converts the at least one contextual element into a search criteria. An external data query builder controller automatically executes an external search query based on the search criteria. A data fusing controller automatically fuses the at least one contextual element generated from the at least one user targeted event, together with external search results generated from the external search query and the initial query data flow to generate a fused data file.

Abstract: The present disclosure relates to, inter alia, a method of quantitating an amount of an antibody molecule from a mixture comprising two or more antibody molecules, comprising separating each of the two or more antibody molecules from the mixture by hydrophobic interaction chromatography high performance liquid chromatography (HIC-HPLC) and quantitating an amount of each antibody molecule, wherein the molecular weight of each antibody molecule is within 15 kDa of any other antibody molecule in the mixture and either each antibody molecule is different from another antibody molecule in the mixture by more than about 0.25 unit on the Kyte & Doolittle hydropathy scale or each of the antibody molecules when run alone on HIC-HPLC elutes at distinct run time with little overlap from the other antibody molecules in the mixture, or both.

Abstract: A computer-implemented method receives a program code and a signature associated with the program code from a database persistency associated with an enterprise threat detection (ETD) system. The received program code is associated with a configuration check, and the configuration check is developed at a development computing system and can collect information associated with a computing system. The received program code and the signature associated with the program code is distributed to a plurality of computing systems that are monitored by the ETD system. At least one configuration check result is received, and the configuration check result is generated by executing the program code on the computing system. The at least one configuration check result then transmitted to the database persistence, and the at least one result is displayed on a database graphical user interface (GUI) associated with the database persistency.

Abstract: Some embodiments include a method for identifying named entities in a question received in a question and answer system. The method can include receiving the question and constructing, via a named entity controller, a search query using all words in the question. The method can also include searching a named entity index for records that include named entity fields associated with certain of the words in the question. The method can also include determining a search score for each of the records based, at least in part, on how closely words in the question match a field of the record. The method can also include determining a weighted score for each of the records based on where the words in the question are positioned in the question. The method can also include creating a list of records including one or more of the records whose weighted score is above a threshold score. The method can also include providing the list of records for use in answering questions in the question and answer system.

Abstract: A computer-implemented method receives a program code and a signature associated with the program code from a database persistency associated with an enterprise threat detection (ETD) system. The received program code is associated with a configuration check, and the configuration check is developed at a development computing system and can collect information associated with a computing system. The received program code and the signature associated with the program code is distributed to a plurality of computing systems that are monitored by the ETD system. At least one configuration check result is received, and the configuration check result is generated by executing the program code on the computing system. The at least one configuration check result then transmitted to the database persistence, and the at least one result is displayed on a database graphical user interface (GUI) associated with the database persistency.

Abstract: A first Event is identified from a normalized log persistency layer, where the first Event is associated with an attack on a computing system. A plurality of Events are fetched from the normalized log persistency layer, where each fetched Event correlates with its neighboring fetched Event by at least one correlation attribute, and each of the fetched Event and the first Event are presented on a graphical user interface as a chain of events. A workspace is generated, where the workspace comprises a series of attack paths, where each attack path corresponds to one Event in the chain of events. An ETD pattern is created based on the attack paths in the workspace.

Abstract: A multiple-state health monitoring apparatus for critical components in a hoisting system includes a frame. The frame is a square structure formed by welding a plurality of rectangular steels. A steel wire rope is arranged around a periphery of the square structure. A power system, a friction-and-wear apparatus, a brake-and-wear apparatus, and a tensioning apparatus are sequentially mounted from left to right on a bottom layer of the square structure. A bearing signal collection system, a tension sensor, an excitation apparatus, and a steel-wire-rope image collection system are sequentially mounted from left to right on a top layer of the square structure. The steel wire rope sequentially passes through all the apparatuses or systems and is driven by the power system to perform circling. All the apparatuses or systems are used to monitor an operation status of the steel wire rope.

Abstract: The present disclosure provides an IPv6 stateless address auto-configuration method, a network device and a host. The method includes: sending a router advertisement RA message to a host, wherein the RA message includes a prefix information option, and the prefix information option includes a prefix and a flag. The host performs IPv6 stateless address auto-configuration according to the prefix and the flag.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: metadata on respective datasets from a plurality of data sources. An enhanced metadata is prepared with semantic information, available data statistics, and search index associated with items of the metadata. The metadata is also classified based on ontology rules. An intent phrase to search the datasets from the plurality of data sources is obtained from a user. The enhanced metadata is searched with a semantic search query formed from the intent phrase, and search result is classified into semantic element classes generated from the intent phrase. A metadata model that satisfies the intent phrase is produced by identifying join columns and respective join relationships from the search result.

Abstract: Techniques are provided for automated privacy scoring of user information. In one example, a system comprises a memory that stores computer executable components, and a processor that executes computer executable components stored in the memory. The computer executable components can comprise a privacy scoring component that employs a privacy identification model to generate a privacy score for a user and a product in the particular context based on information associated with the user and the product in the particular context. The computer executable components can also comprise a privacy enforcement component that implements one or more privacy features on the information based on the privacy score.