Abstract: A system is disclosed in which a plurality of in-vitro diagnostic (IVD) devices each include a network communication device for connecting to a publicly accessible data network. For example, IVD devices are provided with a cellular modem for connecting to a public cellular network. These IVD devices connect to the data network upon completion of a diagnostic test, and upload results of the test, as well as other appropriate data, to a remote device which is also on the network. The IVD devices also download appropriate data from remote network elements. The remote network element may be a network element such as a Hospital Information System (HIS) or Laboratory Information System (LIS) database. Alternatively, the remote device may be a remote server or another IVD device. This connectivity enables the system to accumulate diagnostic test data, and to analyze, report, and/or update the IVD devices based on the accumulated data.

Abstract: A system and method for augmenting or adding to the information used by an in-vitro diagnostic or other diagnostic device to generate results of a test is disclosed. A diagnostic device is capable of generating test results based on a sample, such as a sample provided by a patient, and is also capable of receiving additional information to enhance the results providable by the device. For example, an in-vitro diagnostic device is configured to read a lateral flow assay test, and is configured to receive additional diagnostic, network, test identification, or environmental information over a network. Using both the result of the diagnostic test and the additional information, the disclosed device provides more thorough, accurate, and reliable diagnostic information. The results generated by the device may be communicated to an appropriate remote device to enhance the results obtainable by such tests.

Abstract: A method for using a plurality of decision engines to produce a single decision comprises: receiving heterogeneous data from the plurality of decision engines comprising a set of class labels from each of the plurality of decision engines, wherein the set of class labels from at least a first decision engine differs from the set of class labels from at least a second decision engine; generating a single set of unified class labels from the heterogeneous data; calculating at least one value corresponding to each of at least a subset of the unified class labels; and performing decision fusion on at least the subset of the unified class labels and corresponding values to produce the single decision.

Abstract: Disclosed are a computer-implemented method for converting a procedural process model for a process to a hybrid process model, a system and a computer program product. In this method, a plurality of steps of the process which are included in the procedural process model may be clustered selectively according to historical execution information of the plurality of steps, to generate a plurality of candidate cluster set. One candidate cluster set satisfying a first condition may be selected from the plurality of candidate cluster sets. Then, the procedural process model may be converted into the hybrid process model according to the selected candidate cluster set.

Abstract: A correlation-based service mediator consists of Semantic Query Generator, Service Query Manager, Service Invocation Flow Generator, Service Invocation Manager, Expression Interpreter and Service Invocation Result Cache. The Semantic Query Generator converts service request to Semantic Query based on input/output parameters in the service request. The Service Query Manager interfaces with an Ontology Engine, passing query results to Service Invocation Flow Generator, which creates service invocation flow definition based on passed query results. The Service Invocation Manager executes flow definitions. It also manages a service invocation result cache, so that invocation results can be saved and reused for later service request. When the execution results are not available in cache, the Service Invocation Manager invokes service according to flow definition. When attribute dependent functions are invoked Expression Interpreter compute the execution results.

Abstract: A system and method for augmenting or adding to the information used by an in-vitro diagnostic or other diagnostic device to generate results of a test is disclosed. A diagnostic device is capable of generating test results based on a sample, such as a sample provided by a patient, and is also capable of receiving additional information to enhance the results providable by the device. For example, an in-vitro diagnostic device is configured to read a lateral flow assay test, and is configured to receive additional diagnostic, network, test identification, or environmental information over a network. Using both the result of the diagnostic test and the additional information, the disclosed device provides more thorough, accurate, and reliable diagnostic information. The results generated by the device may be communicated to an appropriate remote device to enhance the results obtainable by such tests.

Abstract: Embodiments include methods, systems and computer program products for storing graph data for a directed graph in a relational database. Aspects include creating a plurality of relational tables for the graph data, using a processor on a computer, the plurality of relational tables including adjacency tables and attribute tables. Each row of the attribute tables is dedicated to a subject of the graph data in the dataset and stores a JavaScript Object Notation (JSON) object corresponding to the subject. Each row of the adjacency tables includes a hashtable containing properties and values of the subject for that row.

Abstract: Embodiments include methods, systems and computer program products for storing graph data for a directed graph in a relational database. Aspects include creating a plurality of relational tables for the graph data, using a processor on a computer, the plurality of relational tables including adjacency tables and attribute tables. Each row of the attribute tables is dedicated to a subject of the graph data in the dataset and stores a JavaScript Object Notation (JSON) object corresponding to the subject. Each row of the adjacency tables includes a hashtable containing properties and values of the subject for that row.

Abstract: Method and apparatus for obtaining constraints on events. The method includes: obtaining a correspondence between a goal and multiple candidate constraints associated with the event from multiple event sequences including the event, wherein each event sequence among the multiple event sequences is a series of historical events that are executed for achieving the goal; identifying an impact on the goal of at least one part of candidate constraints among the multiple candidate constraints based on the correspondence; and in response to metric of the impact satisfying a predefined condition, determining the at least one part of candidate constraints as the constraint. An apparatus for determining a constraint on an event and a method and apparatus for generating a Case Management Model from multiple event sequences are also provided.

Abstract: The present invention relates to antibacterial compounds of formula I: wherein all variable substituents are defined as described herein, which are useful for the treatment of bacterial infections.

Abstract: The present disclosure provides a method, apparatus and system for processing a case management model (CMM). According to an embodiment, there is provided a method for processing a CMM, the method includes: obtaining an existing CMM having a plurality of elements; obtaining a new CMM having at least one element; aligning an element of the new CMM to an element of the existing CMM according to match costs between the element of the new CMM and the plurality of elements of the existing CMM; and fusing the new CMM into the existing CMM based on the match cost between the aligned elements.

Abstract: A system, a method, and a computer readable article of manufacture for metadata searching. The system includes: a receiving module for receiving a search query with respect to a plurality of metadata resources; a query module for parsing the search query and searching related metadata resources and the structural information among the related metadata resources according to the parsing of the search query; and an output module for outputting the search results so as to realize a fuzzy structural search with respect to the plurality of metadata resources. The method includes the steps of: receiving a search query that does not designate complete structural information of the metadata resources; parsing the search query and searching related metadata resources to form search results that include the complete structural information; and outputting the search results.

Abstract: It is provided a method and system for supporting imperative graphic queries on a relational database, the method comprising: parsing an imperative graphic query into operations of execution plans; translating operations of execution plans which are supported by the relational database into common table expression queries; and executing the translated common table expression queries on the relational database.

Abstract: A method for automatically generating a semantic mapping for a relational database RDB includes obtaining a first semantic mapping from a first RDB to an ontology of linked data; obtaining a schema mapping from the first RDB to a second RDB; and generating a second semantic mapping from the second RDB to the ontology of the linked data based on the first semantic mapping and the schema mapping.

Abstract: A method for automatically generating a semantic mapping for a relational database RDB includes obtaining a first semantic mapping from a first RDB to an ontology of linked data; obtaining a schema mapping from the first RDB to a second RDB; and generating a second semantic mapping from the second RDB to the ontology of the linked data based on the first semantic mapping and the schema mapping.

Abstract: A data analyzing method, apparatus, and a method for supporting data analysis includes creating or storing a semantic entity repository, wherein the semantic entity repository includes a structured entity set of entities and properties thereof, reference ranges describing the possible values of the properties, and the mappings between the entities and properties and a data structure of a data warehouse. When aggregating data, the entities, properties, and/or property values to be analyzed are selected from the semantic entity repository, and how to calculate at least one measure is defined. The data corresponding to the selected entities, properties, and property values are loaded from the data warehouse according to the mappings, and the at least one measure as defined is calculated.

Abstract: A method for detecting deviations between an event log and a process model includes converting the process model into a probability process model, the probability process model comprising multiple nodes in multiple hierarchies and probability distribution associated with the multiple nodes, a leaf node among the multiple nodes corresponding to an activity in the process model; detecting differences between at least one event sequence contained in the event log and the probability process model according to a correspondence relationship; and identifying the differences as the deviations in response to the differences exceeding a predefined threshold; wherein the correspondence relationship describes a correspondence relationship between an event in one event sequence of the at least one event sequence and a leaf node in the probability process model.

Abstract: A method for detecting deviations between an event log and a process model includes converting the process model into a probability process model, the probability process model comprising multiple nodes in multiple hierarchies and probability distribution associated with the multiple nodes, a leaf node among the multiple nodes corresponding to an activity in the process model; detecting differences between at least one event sequence contained in the event log and the probability process model according to a correspondence relationship; and identifying the differences as the deviations in response to the differences exceeding a predefined threshold; wherein the correspondence relationship describes a correspondence relationship between an event in one event sequence of the at least one event sequence and a leaf node in the probability process model.

Abstract: A method for detecting deviations between an event log and a process model includes converting the process model into a probability process model, the probability process model comprising multiple nodes in multiple hierarchies and probability distribution associated with the multiple nodes, a leaf node among the multiple nodes corresponding to an activity in the process model; detecting differences between at least one event sequence contained in the event log and the probability process model according to a correspondence relationship; and identifying the differences as the deviations in response to the differences exceeding a predefined threshold; wherein the correspondence relationship describes a correspondence relationship between an event in one event sequence of the at least one event sequence and a leaf node in the probability process model.

Abstract: The present invention relates to antibacterial compounds of formula I: wherein all variable substituents are defined as described herein, which are useful for the treatment of bacterial infections.