Abstract: A method is described for producing a pneumococcal capsular polysaccharide protein conjugate in which one or more activated pneumococcal polysaccharides of particular pneumococcal serotypes and carrier protein are separately lyophilized, the separately lyophilized polysaccharides and carrier protein are separately reconstituted in an organic solvent, and the reconstituted polysaccharide and carrier protein are then combined together by Tee-mixing and conjugated together to produce polysaccharide carrier protein conjugates. A plurality of conjugates, each comprising polysaccharides of a particular serotype, may be used to produce multivalent pneumococcal immunogenic compositions having a combination of conjugates for use in vaccines.

Abstract: A method of augmenting a semantic query of multiple external data sources including receiving a request to search a data store for fields-of-interest designated by a user, applying path-finding technique(s) to identify connections between the fields-of-interest in a semantic model, generating a query based on the connections, intercepting the executing query to determine if data for the fields-of-interest are contained in an external data store, if so identifying an external data service to retrieve external data, executing a semantic query on a triple store, fusing results from the semantic query with the retrieved external data, and providing the fused results to the user computing device. A system and a non-transitory computer readable medium are also disclosed.

Abstract: A method of augmenting a semantic query of multiple external data sources including receiving a request to search a data store for fields-of-interest designated by a user, applying path-finding technique(s) to identify connections between the fields-of-interest in a semantic model, generating a query based on the connections, intercepting the executing query to determine if data for the fields-of-interest are contained in an external data store, if so identifying an external data service to retrieve external data, executing a semantic query on a triple store, fusing results from the semantic query with the retrieved external data, and providing the fused results to the user computing device. A system and a non-transitory computer readable medium are also disclosed.

Abstract: A method, system, and non-transitory computer-readable medium, the method including receiving notifications from a plurality of agents, the notifications being associated with the plurality of agents sensing aspects of an environment; determining, based at least in part on the received notifications from the plurality of agents, a situational model of the environment from the notifications; determining a status of the environment based on the situational model; and reporting the status of the environment to at least one of the plurality of agents.

Abstract: A method, system, and non-transitory computer-readable medium, the method including receiving notifications from a plurality of agents, the notifications being associated with the plurality of agents sensing aspects of an environment; determining, based at least in part on the received notifications from the plurality of agents, a situational model of the environment from the notifications; determining a status of the environment based on the situational model; and reporting the status of the environment to at least one of the plurality of agents.

Abstract: Systems and methods for querying time series data using a semantically-informed search. The method including receiving from a client computer a data request for time series data records stored in a time series database, parsing the data request by accessing one or more ontologies in a semantic data store to determine a set of values pertinent to the received request, applying the determined set of values to a model representing a relationship applicable to the time series data, assembling a query compatible to a format implemented in the time series database, and querying the time series database with the assembled query. The received data request describes requested data in terms of one or more available models, the available models representing relationships applicable to the time series data, and the parsing step includes implementing sematic technology to access the ontologies. A system for implementing the method and a non-transitory computer-readable medium are also disclosed.