Abstract: A surgical instrument, has an end effector that includes an ultrasonic blade, and a clamp arm that moves relative to the ultrasonic blade from an opened position toward an intermediate position and a closed position. The clamp arm is offset from the ultrasonic blade to define a predetermined gap in the intermediate position between the opened position and the closed position. A clamp arm actuator connects to the clamp arm and moves from an opened configuration to a closed configuration to direct the clamp arm from the opened position toward the intermediate position and the closed position. A spacer connects with the clamp arm to inhibit movement of the clamp arm from the intermediate position toward the closed position for maintaining the predetermined gap between the clamp arm and the ultrasonic blade.

Abstract: Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.

Abstract: Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.

Abstract: Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.

Abstract: Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.

Abstract: A method is provided. The method includes receiving a request for one or more ads, the request including a first identifier for a first content source, wherein a first set of content is available from the first content source, responsive to the request, determining whether a second set of content is available from a second content source, wherein the second set of content is a structured content version of the first set of content, converting the first identifier for the first content source to a second identifier for the second content source if the second set of content is available from the second content source, receiving the second set of content from the second content source using the second identifier, and selecting the one or more ads using at least some content from the second set of content from the second content source.

Abstract: The subject matter of this document generally relates to reducing noise in aggregated data using frequency analysis. In some implementations, a system for reducing data noise using frequency analysis includes a data storage device that stores content and a network association processor in data communication with the data storage device. The network association processor aggregates, for a given group, content of one or more additional groups that each have overlapping members with the given group. The network association processor reduces noise in the aggregated content of the one or more additional groups using frequency analysis by determining, for each portion of content in the aggregated content, a frequency of occurrence of the portion of content within the aggregated content and filtering, from the aggregated content, each portion of content that has a frequency of occurrence that is less than a threshold.

Abstract: Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.

Abstract: Open profile data in a user profile, e.g., free-form fields in a user profile, are processed to identify interests and preferences of the user. The interests and preferences are utilized to identify categories associated with the user profile, and content items, e.g., advertisements, can be identified based on the categories.

Abstract: A custodian profile, e.g., a user profile, associated with a first content item, e.g., an associated web page in a social network, can be identified as a first content item. The first content item can be utilized to identify one or more second content items, e.g., advertisements, that are displayed when the first content item is presented, e.g., viewed by another user of the social network.

Abstract: Publisher yield can be managed by establishing a revenue model that represents a relationship between ad revenue for a publisher of a web site and a plurality of parameters. The parameters can include, e.g., a minimum price for an advertiser to place an ad on a web page of the web site through an ad network, a number of advertiser ads presented on the web page, and a number of house ads presented on the web page. Values of the parameters are adjusted based on the revenue model to increase the ad revenue to the publisher. This may include adjusting the minimum price for an advertiser to place an ad on the web page through the ad network, the number of advertiser ads presented on the web page, and/or the number of house ads presented on the web page.

Abstract: Systems and methods for integrated campaign management interfaces for online advertisements. A campaign management interface facilitates review of advertising placements (e.g., websites) and keywords, as well as provide a detailed analysis of subgroups (e.g., webpages within a website) in a single interface.

Abstract: Open profile data in a user profile, e.g., free-form fields in a user profile, are processed to identify interests and preferences of the user. The interests and preferences are utilized to identify categories associated with the user profile, and content items, e.g., advertisements, can be identified based on the categories.

Abstract: Open profile data in a user profile, e.g., free-form fields in a user profile, are processed to identify interests and preferences of the user. The interests and preferences are utilized to identify categories associated with the user profile, and content items, e.g., advertisements, can be identified based on the categories.

Abstract: Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.

Abstract: An entity relationship defining an entity, e.g., a friendship relation in a social network, user groups, etc., can be identified and entity content based on the entity relationship, e.g., user profile data of user accounts, group memberships, etc., can be processed to identify entity topics. One or more content items, e.g., advertisements, can be identified based on the entity topics.

Abstract: A custodian profile, e.g., a user profile, associated with a first content item, e.g., an associated web page in a social network, can be identified as a first content item. The first content item can be utilized to identify one or more second content items, e.g., advertisements, that are displayed when the first content item is presented, e.g., viewed by another user of the social network.

Abstract: Open profile data in a user profile, e.g., free-form fields in a user profile, are processed to identify interests and preferences of the user. The interests and preferences are utilized to identify categories associated with the user profile, and content items, e.g., advertisements, can be identified based on the categories.