Abstract: A schema-ontology is automatically constructed with reference to implicit sematic relationships of a database schema. An estimation of the meaning of the language input is determined based on the language input and the schema-ontology. The machine interpretation of the language input is generated based on the meaning and based on the estimation of the meaning including an estimation of an ambiguity of portions of the language input. A software action that is responsive to the machine interpretation of the language input is selected. The software action is implemented based on the machine interpretation of the language input.

Abstract: A schema-ontology is automatically constructed with reference to implicit sematic relationships of a database schema. An estimation of the meaning of the language input is determined based on the language input and the schema-ontology. The machine interpretation of the language input is generated based on the meaning and based on the estimation of the meaning including an estimation of an ambiguity of portions of the language input. A software action that is responsive to the machine interpretation of the language input is selected. The software action is implemented based on the machine interpretation of the language input.

Abstract: A system and method for facilitating machine interpretation of potentially ambiguous input, such as natural language. An example method includes constructing an ontology based on a database schema, wherein the ontology includes one or more indications of relationship strengths characterizing two or more entities of the ontology; collecting context information pertaining to a relevant domain; receiving the potentially ambiguous input; employing the input and the ontology to estimate a meaning of the input using the context information, the one or more indications of relationship strength, and an estimation of a probability that one or more portions of the natural language input refer to a particular entity.

Abstract: A system and method for facilitating machine interpretation of potentially ambiguous input, such as natural language. An example method includes constructing an ontology based on a database schema, wherein the ontology includes one or more indications of relationship strengths characterizing two or more entities of the ontology; collecting context information pertaining to a relevant domain; receiving the potentially ambiguous input; employing the input and the ontology to estimate a meaning of the input using the context information, the one or more indications of relationship strength, and an estimation of a probability that one or more portions of the natural language input refer to a particular entity.

Abstract: The LSAMP gene can be used for cardiovascular disease risk assessment, in particular Left Main Disease. The genetic risk attributable to LSAMP adds to known cardiovascular disease risk factors. Assessment of risk attributable to LSAMP permits early initiation of preventive and therapeutic strategies. Given the pronounced clinical risk associated with Left Main Disease, such risk assessment should significantly reduce morbidity and mortality.

Abstract: The invention relates to predicting, or aiding in predicting, which individuals are at risk of developing coronary artery disease. The invention provides a method for identifying an individual who has an altered risk for developing CAD. The invention further relates to methods of reducing the likelihood that a subject will develop CAD. The invention further provides reagents, nucleic acids and kits comprising nucleic acids containing a polymorphism in a CAD-determinative gene.

Abstract: The LSAMP gene can be used for cardiovascular disease risk assessment, in particular Left Main Disease. The genetic risk attributable to LSAMP adds to known cardiovascular disease risk factors. Assessment of risk attributable to LSAMP permits early initiation of preventive and therapeutic strategies. Given the pronounced clinical risk associated with Left Main Disease, such risk assessment should significantly reduce morbidity and mortality.

Abstract: The present invention provides methods of identifying a subject having an increased or decreased risk of developing cardiovascular disease, comprising: a) correlating the presence of one or more genetic markers in chromosome 3q13.31 with an increased or decreased risk of developing cardiovascular disease; and b) detecting the one or more genetic markers of step (a) in the subject, thereby identifying the subject as having an increased or decreased risk of developing cardiovascular disease. Also provided are methods of identifying subjects with cardiovascular disease as having a good or poor prognosis, as well as methods of identifying effective treatment regimens for cardiovascular disease, based on correlation with genetic markers in chromosome 3q13.31.

Abstract: A reference cell layout for use in a 1T/1C ferroelectric memory array includes a transistor of a first polarity type having a gate coupled to a reference word line and a current path coupled between a bit line and an internal cell node, a transistor of a second polarity type having a gate coupled to a pre-charge line and a current path coupled between a source of power supply voltage and the internal cell node, a shunt reference word line extending across the reference cell that is electrically isolated from the reference word line, the pre-charge line and the transistors within the physical boundary of the memory cell, and a ferroelectric capacitor coupled between the internal cell node and a reference plate line.

Abstract: An apparatus and a method perform search operations on a document having nested elements of varying types. The apparatus finds in the document an element which is capable of containing nested elements of one or more varying types. The apparatus can also replace the found element with a substitute element, which is also capable of containing nested elements of one or more varying types. The types of elements include texts, images, animation, and sound clips. For each element, a matching function and a find function are provided. The matching function associated with one element determines if a target element matches itself based on predetermined search criteria. The find function associated with one element searches for a match of a target element within itself. The find function of one element can in turn invoke find functions associated with elements embedded within itself in carrying out the search on the target element.