Abstract: A dimensional translator may automatically translate a dimension from an entity to a different dimension of another entity. The dimensional translator may do so by comparing attributes of the input dimension (the dimension to be translated) to attributes of a target data structure. An attribute may include, for example, hierarchy of a data structure, relationships of a data structure, a keyword associated with a data structure, and a data value associated with the data structure. The dimensional translator may automatically determine how a target entity would categorize the item. In particular, a Universal Product Code dimension of an item provided by an entity may be translated into a data structure of a target entity such as a retailer in order to determine how an item identified by the UPC will be categorized by the retailer.

Abstract: A dimensional translator may automatically translate a dimension from an entity to a different dimension of another entity. The dimensional translator may do so by comparing attributes of the input dimension (the dimension to be translated) to attributes of a target data structure. An attribute may include, for example, hierarchy of a data structure, relationships of a data structure, a keyword associated with a data structure, and a data value associated with the data structure. The dimensional translator may automatically determine how a target entity would categorize the item. In particular, a Universal Product Code dimension of an item provided by an entity may be translated into a data structure of a target entity such as a retailer in order to determine how an item identified by the UPC will be categorized by the retailer.

Abstract: A dimensional translator may automatically translate a dimension from an entity to a different dimension of another entity. The dimensional translator may do so by comparing attributes of the input dimension (the dimension to be translated) to attributes of a target data structure. An attribute may include, for example, hierarchy of a data structure, relationships of a data structure, a keyword associated with a data structure, and a data value associated with the data structure. The dimensional translator may automatically determine how a target entity would categorize the item. In particular, a Universal Product Code dimension of an item provided by an entity may be translated into a data structure of a target entity such as a retailer in order to determine how an item identified by the UPC will be categorized by the retailer.

Abstract: A dimensional translator may automatically translate a dimension from an entity to a different dimension of another entity. The dimensional translator may do so by comparing attributes of the input dimension (the dimension to be translated) to attributes of a target data structure. An attribute may include, for example, hierarchy of a data structure, relationships of a data structure, a keyword associated with a data structure, and a data value associated with the data structure. The dimensional translator may automatically determine how a target entity would categorize the item. In particular, a Universal Product Code dimension of an item provided by an entity may be translated into a data structure of a target entity such as a retailer in order to determine how an item identified by the UPC will be categorized by the retailer.

Abstract: A dimensional translator may automatically translate a dimension from an entity to a different dimension of another entity. The dimensional translator may do so by comparing attributes of the input dimension (the dimension to be translated) to attributes of a target data structure. An attribute may include, for example, hierarchy of a data structure, relationships of a data structure, a keyword associated with a data structure, and a data value associated with the data structure. The dimensional translator may automatically determine how a target entity would categorize the item. In particular, a Universal Product Code dimension of an item provided by an entity may be translated into a data structure of a target entity such as a retailer in order to determine how an item identified by the UPC will be categorized by the retailer.

Abstract: A dimensional translator may automatically translate a dimension from an entity to a different dimension of another entity. The dimensional translator may do so by comparing attributes of the input dimension (the dimension to be translated) to attributes of a target data structure. An attribute may include, for example, hierarchy of a data structure, relationships of a data structure, a keyword associated with a data structure, and a data value associated with the data structure. The dimensional translator may automatically determine how a target entity would categorize the item. In particular, a Universal Product Code dimension of an item provided by an entity may be translated into a data structure of a target entity such as a retailer in order to determine how an item identified by the UPC will be categorized by the retailer.

Abstract: A system and method for determining a basket, or total, price of items in a shopping list from various retailers is provided. Items may be added to the shopping list based on, for example, a coupon related to an item, items added to the shopping list by a user, items listed in a recipe, and items suggested for the user. The system may determine the price of the items from the various retailers and whether incentives are available for the items. If available and applicable, the incentives are applied to the total price for each retailer and a price comparison of total prices is generated. The price comparison results may be transmitted via various communication channels and may be displayed on a map.

Abstract: A dimensional translator may automatically translate a dimension from an entity to a different dimension of another entity. The dimensional translator may do so by comparing attributes of the input dimension (the dimension to be translated) to attributes of a target data structure. An attribute may include, for example, hierarchy of a data structure, relationships of a data structure, a keyword associated with a data structure, and a data value associated with the data structure. The dimensional translator may automatically determine how a target entity would categorize the item. In particular, a Universal Product Code dimension of an item provided by an entity may be translated into a data structure of a target entity such as a retailer in order to determine how an item identified by the UPC will be categorized by the retailer.

Abstract: A dimensional translator may automatically translate a dimension from an entity to a different dimension of another entity. The dimensional translator may do so by comparing attributes of the input dimension (the dimension to be translated) to attributes of a target data structure. An attribute may include, for example, hierarchy of a data structure, relationships of a data structure, a keyword associated with a data structure, and a data value associated with the data structure. The dimensional translator may automatically determine how a target entity would categorize the item. In particular, a Universal Product Code dimension of an item provided by an entity may be translated into a data structure of a target entity such as a retailer in order to determine how an item identified by the UPC will be categorized by the retailer.

Abstract: A novel medium, method and system for proving a turbine meter for use with natural gas. The novel test medium is a gas having the following characteristics: (a) Density>2×Density of Natural Gas; (b) Dynamic Viscosity<Dynamic Viscosity of Natural Gas; and (c) Ideal gas behavior for approximately 15° C.<T<25° C. and 1 bar<P<50 bar. The method and system make use of the novel test medium. Also disclosed is a novel method and system for cooling a test medium circulating in a turbine meter prover system involving injecting liquefied test medium into said circulating test medium.

Abstract: A novel medium, method and system for proving a turbine meter for use with natural gas. The novel test medium is a gas having the following characteristics: (a) Density >2×Density of Natural Gas; (b) Dynamic Viscosity < Dynamic Viscosity of Natural Gas; and (c) Ideal gas behavior for approximately 15° C.<T<25° C. and 1 bar<P<50 bar. The method and system make use of the novel test medium. Also disclosed is a novel method and system for cooling a test medium circulating in a turbine meter prover system involving injecting liquefied test medium into said circulating test medium.

Abstract: An active guidelines capability or component is linked to a computerized patient record system to integrate the use of clinical guidelines in the workflow of clinicians treating patients. Many healthcare entities maintain sets of clinical guidelines describing recommended treatment or analysis options for patients displaying sets of symptoms or for whom certain diagnoses have been made. The active guidelines feature adds an active guidelines tag to such clinical guidelines so that when the clinician accesses the clinical guidelines and wishes to follow the recommendation, the clinician merely has to click on a hypertext created from the tag which then transmits action orders, also contained in the tag, to be transmitted to the computerized patient record system for implementation. Patient data associated with the recommendations, such as relevant test or lab results, interaction or allergy information, or other current treatments, is also identified and displayed.

Abstract: A method of depositing lithium phosphorus oxynitride on a substrate, the method comprising loading a substrate into a vacuum chamber having a target comprising lithium phosphate, introducing a process gas comprising nitrogen into the chamber and maintaining the gas at a pressure of less than about 15 mTorr; and forming a plasma of the process gas in the chamber to deposit lithium phosphorous oxynitride on the substrate.