Abstract: Provided herein are compounds according to Formula (I) or a pharmaceutically acceptable salt thereof, wherein R1, R2, R3, R5, and R7 are defined herein. Also provided herein are pharmaceutical compositions comprising a compound of Formula (I) as well as the use of such compounds as M4 receptor agonists.

Abstract: Systems for item validation and image evaluation are provided. In some examples, a system may receive an instrument and associated data. The instrument may be received and at least one of a bill pay profile and a user profile may be retrieved. The bill pay profile and user profile may each include a plurality of previously processed instruments that have been determined to be valid and/or authentic. The instrument may be compared to the plurality of previously processed instruments to determine whether one or more elements of the instrument being evaluated match one or more corresponding elements of the plurality of previously processed instruments. Matching or non-matching elements may be identified. In some examples, one or more user interfaces may be generated displaying the instruments and including any highlighting or enhancements identifying matching or non-matching elements.

Abstract: A tool is provided for automated SNMP data generation. The tool includes a special header file operable to contain standard header file data and special comment data. The tool also includes an extractor, a MIB generator component, and an OIDInformation file. The extractor component is operable to convert the special header file into a managed object structure description file. The MIB generator component is operable to convert the managed object structure description file into a management information base file. The OIDInformation generator component is operable to convert the managed object structure description file into an OIDInformation file. The OIDInformation file is operable to retain and provide data related to a network resource.

Abstract: A system for an in-service software upgrade is disclosed. The system consists of a processor, a first version of a software process, a second version of the software process, and a proxy software process. When executed by the processor, the proxy software process can intercept a message intended for the first version and direct the message to either the first version or the second version based on the status of a transaction associated with the message.

Abstract: A method for segmenting a data set is disclosed. The method consists of setting a maximum walker size and setting a walker size. Then, a first segment of data from the data set is obtained, wherein the first segment of data is the size of the walker. Then, a second segment of data from the data set is obtained, wherein the second segment of data is not greater than the maximum walker size.

Abstract: An intelligence engine software architecture is disclosed. The architecture consists of a sensor layer, a knowledge processing layer, and an intelligence layer. The sensor layer can receive input data from a plurality of domains and convert the input data into a domain-independent format. The knowledge processing layer can identify a pattern in the domain-independent data and compare the domain-independent data to a previously identified pattern. The intelligence layer can make a prediction based on the comparison of the domain-independent data to the previously identified pattern, the intelligence layer is further operable to issue reports, events, and other information of interest to an operator.

Abstract: A system for an in-service software upgrade is disclosed. The system consists of a processor, a first version of a software process, a second version of the software process, and a proxy software process. When executed by the processor, the proxy software process can intercept a message intended for the first version and direct the message to either the first version or the second version based on the status of a transaction associated with the message.

Abstract: An intelligence engine software architecture is disclosed. The architecture consists of a sensor layer, a knowledge processing layer, and an intelligence layer. The sensor layer can receive input data from a plurality of domains and convert the input data into a domain-independent format. The knowledge processing layer can identify a pattern in the domain-independent data and compare the domain-independent data to a previously identified pattern. The intelligence layer can make a prediction based on the comparison of the domain-independent data to the previously identified pattern, the intelligence layer is further operable to issue reports, events, and other information of interest to an operator.

Abstract: A method for segmenting a data set is disclosed. The method consists of setting a maximum walker size and setting a walker size. Then, a first segment of data from the data set is obtained, wherein the first segment of data is the size of the walker. Then, a second segment of data from the data set is obtained, wherein the second segment of data is not greater than the maximum walker size.