Abstract: A method for index deduplication includes parsing entries to be deduplicated and identifying groups of entries therein, each group including entries having a same first data field value. The method includes, for each group, identifying a common second data field value and creating a deduplicated entry storing the first data field value of the group of entries and the common second data field value. The method also includes, for each unique ID field value of the entries to be deduplicated, generating a correspondence vector having a plurality of vector fields each associated with one of the group of entries, and storing, in each vector field, a value indicative of an existence, in the entries to be deduplicated, of a duplicated entry containing the unique ID field value, the first data field value of the group, and the common second data field of the group.

Abstract: A mattress for a patient support apparatus has a cover having bottom and top surfaces, and an inflatable section disposed between the bottom and top surfaces. The inflatable section has a plurality of upper bladders in fluid communication with each other and a plurality of lower bladders in fluid communication with each other. The upper and lower bladders are selectively inflated independently from each other. The upper and lower bladders are formed by three sheets including an upper sheet, a lower sheet disposed below the upper sheet, and an intermediate sheet disposed between the upper and lower sheets. The upper sheet is fixed to the intermediate sheet to define the upper bladders between the upper sheet and the intermediate sheet. The lower sheet is fixed to the intermediate sheet to define the lower bladders between the lower sheet and the intermediate sheet. Other aspects of the mattress are also disclosed.

Abstract: A personalized search engine system and corresponding method which is used by an identified user for retrieving documents on a corporate network or intranet. The identified user being related to a unique personalization identifier (UPID) and to a list of group personalization identifiers (GPIDs). The system comprises a search engine interface for obtaining a query from the identified user; a search engine for finding documents matching the query; and a ranking engine for ranking the documents matching the query in order of relevancy, where the ranking is partly based on a previously calculated document rating for the UPID of the identified user, where the ranking is further based on a previously calculated document ratings for each of the GPIDs of the identified user.

Abstract: Described herein are systems and methods for indexing documents during CPU idle time. The method can include the steps of determining at regular intervals if CPU usage is above a threshold value and pausing the indexing when CPU usage rises above a threshold value. If the CPU usage is below a threshold value the indexing is continued. Unlike traditional document systems, the document database described herein can be updated without interrupting the use of the computer.

Abstract: Described herein are systems and methods for indexing documents in a quasi real-time manner. The method can include the steps of indexing documents and storing document information in a database, registering with an operating system for notification of changes to the documents, and responding to received notification of changes by updating the database to reflect the addition, modification, renaming and/or deletion of documents. Unlike traditional document systems, the document index described herein can be updated without rescanning all the indexed documents.

Abstract: Described herein are systems and methods for indexing documents in a quasi real-time manner. The method can include the steps of indexing documents and storing document information in a database, registering with an extended MAPI layer of an e-mail program for notification of changes to the documents, and responding to received notification of changes by updating the database to reflect the addition, modification, and/or deletion of documents. Unlike traditional document systems, the document index described herein can be updated without rescanning all the indexed documents.