Abstract: A method for forming a memory device is provided. An alternating dielectric stack is formed on a substrate. The alternating dielectric stack includes a dielectric layer pair, and the dielectric layer pair includes a first dielectric layer and a second dielectric layer different from the first dielectric layer. A barrier structure extending vertically through the alternating dielectric stack and laterally separating the alternating dielectric stack into a first portion and a second portion is formed. The barrier structure has an unclosed shape. The first dielectric layer in the second portion of the alternating dielectric stack is replaced with a conductor layer to form an alternating conductor/dielectric stack including the conductor layer and a third dielectric layer. A through array contact structure extending vertically through the first portion of the alternating dielectric stack to the substrate is formed.

Abstract: According to one exemplary embodiment, a method for dynamic generation of payment token ratings is provided. The method includes receiving a token request, whereby the token request includes a plurality of metadata. The method also includes analyzing the received plurality of metadata based on at least one predefined rule set. The method further includes generating a token in response to receiving the token request. The method then includes determining an assurance rating for the generated token based on the analyzed received plurality of metadata, whereby the assurance rating indicates a risk of fraud associated with the generated token. The method finally includes assigning a token rating to the generated token based on the determined assurance rating.

Abstract: According to one exemplary embodiment, a method for dynamic generation of payment token ratings is provided. The method includes receiving a token request, whereby the token request includes a plurality of metadata. The method also includes analyzing the received plurality of metadata based on at least one predefined rule set. The method further includes generating a token in response to receiving the token request. The method then includes determining an assurance rating for the generated token based on the analyzed received plurality of metadata, whereby the assurance rating indicates a risk of fraud associated with the generated token. The method finally includes assigning a token rating to the generated token based on the determined assurance rating.

Abstract: According to one exemplary embodiment, a method for dynamic generation of payment token ratings is provided. The method includes receiving a token request, whereby the token request includes a plurality of metadata. The method also includes analyzing the received plurality of metadata based on at least one predefined rule set. The method further includes generating a token in response to receiving the token request. The method then includes determining an assurance rating for the generated token based on the analyzed received plurality of metadata, whereby the assurance rating indicates a risk of fraud associated with the generated token. The method finally includes assigning a token rating to the generated token based on the determined assurance rating.

Abstract: According to one exemplary embodiment, a method for dynamic generation of payment token ratings is provided. The method includes receiving a token request, whereby the token request includes a plurality of metadata. The method also includes analyzing the received plurality of metadata based on at least one predefined rule set. The method further includes generating a token in response to receiving the token request. The method then includes determining an assurance rating for the generated token based on the analyzed received plurality of metadata, whereby the assurance rating indicates a risk of fraud associated with the generated token. The method finally includes assigning a token rating to the generated token based on the determined assurance rating.

Abstract: The present invention defines a single Java annotation model. A method in accordance with an embodiment includes: receiving a Java annotation declaration in a Java annotation model; receiving a Java annotation definition in the Java annotation model; receiving domain specific context rules in the Java annotation model; and providing access to combined meta-data information derived from the Java annotation declaration, the Java annotation definition, and the domain specific context rules through the Java annotation model.

Abstract: The present invention defines a single Java annotation model. A method in accordance with an embodiment includes: receiving a Java annotation declaration in a Java annotation model; receiving a Java annotation definition in the Java annotation model; receiving domain specific context rules in the Java annotation model; and providing access to combined meta-data information derived from the Java annotation declaration, the Java annotation definition, and the domain specific context rules through the Java annotation model.