Abstract: Embodiments described herein generally relate to technologies for analyzing peptide structures for diagnosing and/or treating a disease state advancing through a disease progression. A non-limiting example of a method relating to the technologies described in the subject application may include receiving peptide structure data corresponding to the biological sample obtained from the subject, identifying a peptide structure profile, and diagnosing a disease state within a disease progression. The example may further include generating a diagnosis output relating to the disease state. In at least some cases, the peptide structure profile may include glycosylated peptides, aglycosylated peptides, or both.

Abstract: Embodiments described herein generally relate to technologies for analyzing peptide structures for diagnosing and/or treating a disease state advancing through a disease progression. A non-limiting example of a method relating to the technologies described in the subject application may include receiving peptide structure data corresponding to the biological sample obtained from the subject, identifying a peptide structure profile, and diagnosing a disease state within a disease progression. The example may further include generating a diagnosis output relating to the disease state. In at least some cases, the peptide structure profile may include glycosylated peptides, aglycosylated peptides, or both.

Abstract: A system is described whereby a cloud router may allow routing as a service in a cloud-like manner. In an example, an apparatus may include a processor and a memory coupled with the processor that effectuates operations. The operations may include receiving first routing information associated with a first customer edge device; adding the first routing information to network routing information of the apparatus, wherein the network routing information comprises a network routing table with routes for a plurality of networks; and propagating the network routing information to a software defined network (SDN) controller, wherein, based on the network routing information, the SDN controller sends a forwarding information base (FIB) to a provider edge device connected with the first customer edge device.

Abstract: Set forth herein are glycopeptide biomarkers useful for diagnosing diseases and conditions, such as ovarian cancer. Also set forth herein are methods of generating glycopeptide biomarkers and methods of analyzing glycopeptides using mass spectroscopy. Also set forth herein are methods of analyzing glycopeptides using machine learning systems.

Abstract: A system is described whereby a cloud router may allow routing as a service in a cloud-like manner. In an example, an apparatus may include a processor and a memory coupled with the processor that effectuates operations. The operations may include receiving first routing information associated with a first customer edge device; adding the first routing information to network routing information of the apparatus, wherein the network routing information comprises a network routing table with routes for a plurality of networks; and propagating the network routing information to a software defined network (SDN) controller, wherein, based on the network routing information, the SDN controller sends a forwarding information base (FIB) to a provider edge device connected with the first customer edge device.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, facilitating receiving a disabling request for a first time period and applicable to a first service element in a first service path of first service elements to provide a service. The method can further include identifying, by the configuration equipment, and scheduled change data, a second service element from a combined group of the first and second service elements of a second service path for the provision of the service. Further, based on a first determination that the second service element is to be disabled during the first time period, facilitating disabling the first service element during a second time period where the second service element is not disabled.

Abstract: Embodiments described herein generally relate to technologies for analyzing peptide structures for diagnosing and/or treating a disease state advancing through a disease progression. A non-limiting example of a method relating to the technologies described in the subject application may include receiving peptide structure data corresponding to the biological sample obtained from the subject, identifying a peptide structure profile, and diagnosing a disease state within a disease progression. The example may further include generating a diagnosis output relating to the disease state. In at least some cases, the peptide structure profile may include glycosylated peptides, aglycosylated peptides, or both.

Abstract: According to examples, an apparatus may include a processor and a memory on which is stored machine readable instructions. The instructions may cause the processor to receive a call request for a cloud-based service and retrieve a first policy corresponding to the cloud-based service, the first policy identifying a policy reroute. The instructions may also cause the processor to determine which second policy of a plurality of second policies that corresponds to the policy reroute and retrieve the second policy that the corresponds to the policy reroute. The instructions may further cause the processor to apply the second policy on the cloud-based service and respond to the call request following the application of the second policy.

Abstract: A system is described whereby a cloud router may allow routing as a service in a cloud-like manner. In an example, an apparatus may include a processor and a memory coupled with the processor that effectuates operations. The operations may include receiving first routing information associated with a first customer edge device; adding the first routing information to network routing information of the apparatus, wherein the network routing information comprises a network routing table with routes for a plurality of networks; and propagating the network routing information to a software defined network (SDN) controller, wherein, based on the network routing information, the SDN controller sends a forwarding information base (FIB) to a provider edge device connected with the first customer edge device.

Abstract: In one example, a method performed by a processing system in a telecommunications network includes receiving a technical support query that reports a technical support issue, where the technical support query is phrased in natural language, parsing a meaning from the technical support query using natural language understanding, wherein the meaning indicates a nature of the technical support issue, matching the technical support query to a document stored in a dynamic knowledge base, wherein the matching is based on the meaning, identifying a remedial action to resolve the technical support issue, based on the document, and performing an action to carry out the remedial action.

Abstract: According to examples, an apparatus may include a processor and a memory on which is stored machine readable instructions. The instructions may cause the processor to receive a call request for a cloud-based service and retrieve a first policy corresponding to the cloud-based service, the first policy identifying a policy reroute. The instructions may also cause the processor to determine which second policy of a plurality of second policies that corresponds to the policy reroute and retrieve the second policy that the corresponds to the policy reroute. The instructions may further cause the processor to apply the second policy on the cloud-based service and respond to the call request following the application of the second policy.

Abstract: A method includes measuring a first performance metric of a network comprising a plurality of virtual network functions (VNFs). The method also includes executing tasks to implement the software change on a first VNF set. The method also includes measuring a second performance metric of the network after at least one of the tasks has been completed and comparing the first performance metric to the second performance metric to determine a recommendation for whether to deploy the software change on the plurality of VNFs. The tasks are based upon a change management workflow created using a graphical model, the graphical model comprising modular building blocks selected from a change management catalog.

Abstract: Components may provide functionality which separate operation functions in a separate entity, isolate the functions as reusable, and connect them in a control loop in an SDN environment.

Abstract: Components may provide functionality which separate operation functions in a separate entity, isolate the functions as reusable, and connect them in a control loop in an SDN environment.

Abstract: A method includes measuring a first performance metric of a network comprising a plurality of virtual network functions (VNFs). The method also includes executing tasks to implement the software change on a first VNF set. The method also includes measuring a second performance metric of the network after at least one of the tasks has been completed and comparing the first performance metric to the second performance metric to determine a recommendation for whether to deploy the software change on the plurality of VNFs. The tasks are based upon a change management workflow created using a graphical model, the graphical model comprising modular building blocks selected from a change management catalog.

Abstract: A method includes creating a bulk order. The bulk order includes a plurality of action sets. Each action set represents a set of changes to a plurality of assets, and the bulk order represents, for a plurality of accounts, a plurality of services and assets. The method also includes validating the bulk order. The validating includes verifying a validity of a user name, which includes a validity of an association between the user name and the account and a validity of an association between the user name and the service. The validating also includes verifying the action set obeys a constraint of the product. The method also includes submitting the bulk order for execution of the set of changes. The submitting includes preparing the action set, executing the set of changes and changing a status of the bulk orders header to indicate a completion of the bulk order.

Abstract: A method includes creating a bulk order. The bulk order includes a plurality of action sets. Each action set represents a set of changes to a plurality of assets, and the bulk order represents, for a plurality of accounts, a plurality of services and assets. The method also includes validating the bulk order. The validating includes verifying a validity of a user name, which includes a validity of an association between the user name and the account and a validity of an association between the user name and the service. The validating also includes verifying the action set obeys a constraint of the product. The method also includes submitting the bulk order for execution of the set of changes. The submitting includes preparing the action set, executing the set of changes and changing a status of the bulk orders header to indicate a completion of the bulk order.