Abstract: A flat or rounded or ellipsoidal or cylindrical or smooth device or body with no sharp edges for cinch suture knotting to secure sutures/lines/wires/threads and the like. The body eliminates the need for fastening or deploying manual knots. The suture knotting device comprises male and female separable parts that secure a catheter or any device or tissue or tissue to the skin or any body tissue. The separable parts can be gently pulled or twisted apart to adjust or remove the suture, depending on the clinical condition to thereby avoid pinching or cutting of skin and trauma to tissue while removing the device. The suture knotting device helps to deploy, adjust and remove sutures without requiring any sharp objects or a suture removal kit. The device allows a wide range of dexterity and maneuvering for physicians or nurses with ease and less pressure.

Abstract: A method (400) is disclosed of extracting factoids from text repositories, with the factoids being associated with a given factoid category. The method (400) starts by training a classifier (230) to recognize factoids relevant to that given factoid category. Documents or document summaries relevant to the given factoid category is next collected (410) from the text repositories. Sentences having a predetermined association to the given factoid category is extracted (420) from the documents or said document summaries. Those sentences are classified (440), in a noisy environment, using the classifier (230) to extract snippets containing phrases relevant to the given factoid category. It is the extracted snippets that are the factoid associated with the given factoid category.

Abstract: A cost efficient solution for supporting and deploying custom text analytics applications suited is to provide third party application developers a sand-boxed application development environment such as an appliance computer system, allowing users to leverage data integration, indexing and pre-existing mining platform capabilities for a domain-specific data. Thus, embodiments herein present a system, method, etc. for identifying and delivering domain specific unstructured content for advanced business analysis. The system generally comprises a cluster computer system, a gateway computer system and an appliance computer system.

Abstract: A method (400) is disclosed of extracting factoids from text repositories, with the factoids being associated with a given factoid category. The method (400) starts by training a classifier (230) to recognise factoids relevant to that given factoid category. Documents or document summaries relevant to the given factoid category is next collected (410) from the text repositories. Sentences having a predetermined association to the given factoid category is extracted (420) from the documents or said document summaries. Those sentences are classified (440), in a noisy environment, using the classifier (230) to extract snippets containing phrases relevant to the given factoid category. It is the extracted snippets that are the factoid associated with the given factoid category.

Abstract: A cost efficient solution for supporting and deploying custom text analytics applications suited is to provide third party application developers a sand-boxed application development environment such as an appliance computer system, allowing users to leverage data integration, indexing and pre-existing mining platform capabilities for a domain-specific data. Thus, embodiments herein present a system, method, etc. for identifying and delivering domain specific unstructured content for advanced business analysis. The system generally comprises a cluster computer system, a gateway computer system and an appliance computer system.

Abstract: A system and method of retrieving data from a database comprising unstructured data comprises specifying a text analytic component in an unstructured text query at query runtime; submitting the unstructured text query to a web service database; filtering unstructured text data in the web service database based on constraints defined in the text analytic component in the query; and receiving the filtered unstructured text data based on the submitted query from the web service database, wherein the text analytic component comprises metadata requirements. Preferably, the constraints comprise any of positive sentiments regarding an unstructured text document and negative sentiments regarding the unstructured text document. Alternatively, the constraints may comprise any of name spotting constraints, address spotting constraints, date spotting constraints, and entity spotting constraints. The filtering preferably occurs using a web-based callback service specified in a WFQL XML document.

Abstract: A database management system and associated methods for parallelizing file archival and retrieval in an extended database management system. The system includes a set of copy agents that selectively acquire the backup tasks from a copy queue, and a set of retrieval agents that selectively acquire the restore tasks from a restore queue. The chances of contention between any two copy agents or any two retrieve agents acquiring the same copy or restore task is significantly minimized. Once specific copy agents are assigned backup tasks, the backup process is implemented to determine the optimal way to write the backup files to one or more targets, in parallel. In addition, the present system enables the efficient and expeditious retrieval of the desired files without having to search all the targets.

Abstract: Recovery of a filesystem directory structure is performed to restore it to any point in time and also to synchronize a database restore and a filesystem restore to bring the two restores to a database consistent state. A database management system (DBMS) manages external files and hierarchical directory structures to enable recovery and reconciliation of the files and filesystems, under DBMS control, after filesystem crashes. First, a database table, which recorded previous directory creations and deletions, is used to rebuild a filesystem's directory structure to any previous database state and then external file link information is used to restore files to that same state.

Abstract: A database management system and associated methods for parallelizing file archival and retrieval in an extended database management system. The system includes a set of copy agents that selectively acquire the backup tasks from a copy queue, and a set of retrieval agents that selectively acquire the restore tasks from a restore queue. The chances of contention between any two copy agents or any two retrieve agents acquiring the same copy or restore task is significantly minimized. Once specific copy agents are assigned backup tasks, the backup process is implemented to determine the optimal way to write the backup files to one or more targets, in parallel. In addition, the present system enables the efficient and expeditious retrieval of the desired files without having to search all the targets.