Abstract: The invention provides DNA compositions that relate to transgenic insect resistant maize plants. Also provided are assays for detecting the presence of the maize DAS-59122-7 event based on the DNA sequence of the recombinant construct inserted into the maize genome and the DNA sequences flanking the insertion site. Kits and conditions useful in conducting the assays are provided.

Abstract: One or more radar sensors can be used to monitor patients in a variety of different environments and embodiments. In one embodiment, radar sensors can be used to monitor a patient's breathing, including monitoring of tidal volume, chest expansion distance, breathing rate, etc. In another embodiment, a patient position can be monitored in a patient bed, which can be used as feedback for control of bladders of a patient bed. Additional embodiments are described herein.

Abstract: Provided are techniques for processing window partitioning and ordering for OLAP functions. A prior compare operation is performed by: receiving an input vector for each of one or more attributes of input data that represent one of a partition-by column and an order-by column in a database query; generating a per-attribute comparison vector for each input vector; and producing a single output vector using each per-attribute comparison vector, wherein each value of the single output vector is a Boolean attribute whose value for a given tuple is true if a current value and a most recent prior value of any of the one or more attributes are different.

Abstract: Variety of approaches to optimize performance based on behavioral and situational signals are described. A productivity service initiates operations to optimize performance upon receiving a behavioral signal and/or a situational signal associated with a user. The behavioral signal and/or the situational signal are analyzed to infer a usage pattern associated with a component of an application. Next, a failure of the usage pattern is detected in a comparison to an utility threshold. In response, the application is instructed to interrupt an execution of the component.

Abstract: Provided are techniques for processing window partitioning and ordering for OLAP functions. A prior compare operation is performed by: receiving an input vector for each of one or more attributes of input data that represent one of a partition-by column and an order-by column in a database query; generating a per-attribute comparison vector for each input vector; and producing a single output vector using each per-attribute comparison vector, wherein each value of the single output vector is a Boolean attribute whose value for a given tuple is true if a current value and a most recent prior value of any of the one or more attributes are different.

Abstract: Metadata for a plurality of database storage regions within memory are merged, where the metadata for each storage region comprises an interval including first and second interval values indicating a value range for values within that storage region. The first and second interval values are examined to identify overlapping storage regions and produce a sum of over-lapped storage regions. The sum of overlapped storage regions is compared to a threshold and the metadata of the overlapped storage regions are merged based on the comparison.

Abstract: Provided are techniques for processing window partitioning and ordering for OLAP functions. A prior compare operation is performed by: receiving an input vector for each of one or more attributes of input data that represent one of a partition-by column and an order-by column in a database query; generating a per-attribute comparison vector for each input vector; and producing a single output vector using each per-attribute comparison vector, wherein each value of the single output vector is a Boolean attribute whose value for a given tuple is true if a current value and a most recent prior value of any of the one or more attributes are different.

Abstract: Provided are techniques for processing window partitioning and ordering for OLAP functions. A prior compare operation is performed by: receiving an input vector for each of one or more attributes of input data that represent one of a partition-by column and an order-by column in a database query; generating a per-attribute comparison vector for each input vector; and producing a single output vector using each per-attribute comparison vector, wherein each value of the single output vector is a Boolean attribute whose value for a given tuple is true if a current value and a most recent prior value of any of the one or more attributes are different.

Abstract: A document sharing system includes a plurality of different data provider implementations. The document sharing system exposes a common application programming interface to a plurality of different clients and receives data requests identifying a given data provider, from the clients. The document sharing system then uses the data provider implementation for the data provider identified in the request, in order to obtain the requested data, and place it in a common data structure that is returned to the client.

Abstract: Variety of approaches to optimize performance based on behavioral and situational signals are described. A productivity service initiates operations to optimize performance upon receiving a behavioral signal and/or a situational signal associated with a user. The behavioral signal and/or the situational signal are analyzed to infer a usage pattern associated with a component of an application. Next, a failure of the usage pattern is detected in a comparison to an utility threshold. In response, the application is instructed to interrupt an execution of the component.

Abstract: A document sharing system includes a plurality of different data provider implementations. The document sharing system exposes a common application programming interface to a plurality of different clients and receives data requests identifying a given data provider, from the clients. The document sharing system then uses the data provider implementation for the data provider identified in the request, in order to obtain the requested data, and place it in a common data structure that is returned to the client.

Abstract: Metadata for a plurality of database storage regions within memory are merged, where the metadata for each storage region comprises an interval including first and second interval values indicating a value range for values within that storage region. The first and second interval values are examined to identify overlapping storage regions and produce a sum of overlapped storage regions. The sum of overlapped storage regions is compared to a threshold and the metadata of the overlapped storage regions are merged based on the comparison.

Abstract: Provided are techniques for processing window partitioning and ordering for OLAP functions. A prior compare operation is performed by: receiving an input vector for each of one or more attributes of input data that represent one of a partition-by column and an order-by column in a database query; generating a per-attribute comparison vector for each input vector; and producing a single output vector using each per-attribute comparison vector, wherein each value of the single output vector is a Boolean attribute whose value for a given tuple is true if a current value and a most recent prior value of any of the one or more attributes are different.

Abstract: Provided are techniques for processing window partitioning and ordering for OLAP functions. A prior compare operation is performed by: receiving an input vector for each of one or more attributes of input data that represent one of a partition-by column and an order-by column in a database query; generating a per-attribute comparison vector for each input vector; and producing a single output vector using each per-attribute comparison vector, wherein each value of the single output vector is a Boolean attribute whose value for a given tuple is true if a current value and a most recent prior value of any of the one or more attributes are different.

Abstract: Metadata for a plurality of database storage regions within memory are merged, where the metadata for each storage region comprises an interval including first and second interval values indicating a value range for values within that storage region. The first and second interval values are examined to identify overlapping storage regions and produce a sum of overlapped storage regions. The sum of overlapped storage regions is compared to a threshold and the metadata of the overlapped storage regions are merged based on the comparison.

Abstract: A user generates a message by adding a recipient in order to send the message to the recipient. The message has a link to an attached object which is automatically detected and it is determined whether the recipient has rights to the object. If not, the recipient's rights are automatically modified so that the recipient has rights to the object, and the user is notified of the modified permissions.

Abstract: A user generates a message by adding a recipient in order to send the message to the recipient. The message has a link to an attached object which is automatically detected and it is determined whether the recipient has rights to the object. If not, the recipient's rights are automatically modified so that the recipient has rights to the object, and the user is notified of the modified permissions.

Abstract: Metadata for a plurality of database storage regions within memory are merged, where the metadata for each storage region comprises an interval including first and second interval values indicating a value range for values within that storage region. The first and second interval values are examined to identify overlapping storage regions and produce a sum of over-lapped storage regions. The sum of overlapped storage regions is compared to a threshold and the metadata of the overlapped storage regions are merged based on the comparison.

Abstract: A document sharing system includes a plurality of different data provider implementations. The document sharing system exposes a common application programming interface to a plurality of different clients and receives data requests identifying a given data provider, from the clients. The document sharing system then uses the data provider implementation for the data provider identified in the request, in order to obtain the requested data, and place it in a common data structure that is returned to the client.

Abstract: A user generates a message by adding a recipient in order to send the message to the recipient. The message has a link to an attached object which is automatically detected and it is determined whether the recipient has rights to the object. If not, the recipient's rights are automatically modified so that the recipient has rights to the object, and the user is notified of the modified permissions.