Abstract: In an API Router for use in a real-time or near real-time network environment a method of processing an inbound request at a messaging router within a software defined network, by receiving the inbound request at a defined interface, assigning the inbound request to an active thread, transmitting a response to the inbound request, generating an outbound request for transmission into a software defined network in accordance with the received inbound request using the active thread, transmitting a generated outbound request to a node within the software defined network determined in accordance with the inbound request and a priori knowledge of a topology of the software defined network, and tracking a state of the connection using a directed acyclic group state machine.

Abstract: An Application Definition Function allows applications outside a managed network to transmit requests for configuration of the data plane of the managed network using a publicly accessible, and possibly trivialized API. The ADF resides within at least one of the management and control planes, and through a public interface receives the requests and makes use of both a discovered network topology and a discovered network service topology to generate a set of configuration requests that can be issued to nodes and functions within the managed network. The generation of the network topology and network service topology can be done through interrogation of network functions based on information in a repository such as a UDR. The ADF may provide these services for different networks such as a 3GPP compliant Core Network, a Radio Access Network, and an Edge network providing dynamic computing and communication resources.

Abstract: A method for classifying a tenant as being associated with one of a plurality of customer categories includes receiving a request to classify a tenant as being associated with one of a plurality of customer categories, dynamically retrieving from one or more data source systems, a plurality of data signals associated with the tenant, one or more of the plurality of data signals being stored as individual properties for the tenant in the one or more data source systems, dynamically identifying, in real-time, the tenant as being associated with one of the plurality of customer categories based at least on the plurality of data signals, and storing the identified one of the plurality of customer categories as a classification data signal for the tenant.

Abstract: Prepackaged reagent reservoirs with associated nozzles allow for accurate, repeatable distribution of reagents in various types of reactions, reducing the risk of human error. Series of reservoirs may be arrayed on a sheet or plane for automated manipulation providing a simply format for organizing, storing, transporting, and distributing reagents needed in complex reactions such as those in the molecular biology field.

Abstract: Prepackaged reagent reservoirs with associated nozzles allow for accurate, repeatable distribution of reagents in various types of reactions, reducing the risk of human error. Series of reservoirs may be arrayed on a sheet or plane for automated manipulation providing a simply format for organizing, storing, transporting, and distributing reagents needed in complex reactions such as those in the molecular biology field.

Abstract: The invention generally relates to methods of assessing an individual's risk of developing a disease associated with accumulation of DNA mutations by determining the mutation burden in their circulating cell-free nucleic acid relative to a reference sequence. The invention further relates to establishing a score indicative of the individual's risk by assessing the individual's mutation burden against a mutation burden continuum containing various thresholds associated with different degrees of risk. The reference sequence and the continuum may be constructed from a variety of sources. In certain aspects, methods of the invention relate to compilation of a database of mutation burdens for individuals along with population characteristics for each individual.

Abstract: Embodiments are directed to determining a risk of encountering malware based on social context, to determining malware threats based on social associations and to ranking antimalware programs according to the program's ability to protect against specific threats. In one scenario, a computer system receives a malware notification associated with a user that identifies a type of malware encountered by the user. The computer system identifies various persons that are part of a social group associated with the user and determines that at least one of the identified persons associated with the user has an increased likelihood of encountering the identified type of malware, based on information derived from identifying the persons that are part of the social group. Optionally, the computer system notifies the identified persons of the increased likelihood of encountering the identified type of malware.

Abstract: Methods and apparatus providing improved fidelity and specificity when separating nucleic acids from a sample, but without need for amplification. In particular, using the disclosed methods, it is possible to isolate a variant nucleic acid (i.e., a mutation) from a non-target nucleic acid (i.e., a wild-type) when the variant is present in the original sample at a much lower concentration than the non-target, e.g., 1:10,000, without substantial loss of the variant.

Abstract: Methods and apparatus providing improved fidelity and specificity when separating nucleic acids from a sample, but without need for amplification. In particular, using the disclosed methods, it is possible to isolate a variant nucleic acid (i.e., a mutation) from a non-target nucleic acid (i.e., a wild-type) when the variant is present in the original sample at a much lower concentration than the non-target, e.g., 1:10,000, without substantial loss of the variant.

Abstract: Embodiments are directed to determining a risk of encountering malware based on social context, to determining malware threats based on social associations and to ranking antimalware programs according to the program's ability to protect against specific threats. In one scenario, a computer system receives a malware notification associated with a user that identifies a type of malware encountered by the user. The computer system identifies various persons that are part of a social group associated with the user and determines that at least one of the identified persons associated with the user has an increased likelihood of encountering the identified type of malware, based on information derived from identifying the persons that are part of the social group. Optionally, the computer system notifies the identified persons of the increased likelihood of encountering the identified type of malware.

Abstract: In some embodiments, a local agent on a target system may evaluate current and/or historical system state information from a store (either local or remote) and dynamically adjust the level of diagnosis performed during the scan based on the evaluated state information. Individual diagnostic scans may, for example, be enabled and disabled based on the context in the store, and each scan may update the context for further evaluation. By employing such an approach, systems with a low risk profile and lacking symptoms of a problem may be scanned quickly while systems that show signs of a problem or have a high risk profile may receive a more thorough evaluation.

Abstract: The trust reputation of the combination of an installation package and installer, as a pair, and the combination of a file and an installer, as a pair, is used to store the identity of a file in a persistent cache. An entry in the persistent cache indicates the trust worthiness of a file that does not contain malware thereby avoiding a scan of the file for malware. The trust worthiness of a file may be determined from known trust reputations of the installation package, installer, and file from a network of computing resources. By relying on the known trust reputation of the combination of the installation package and installer and the combination of the file and installer, the identity of the file may be stored in persistent cache quickly.

Abstract: Methods and apparatus providing improved fidelity and specificity when separating nucleic acids from a sample, but without need for amplification. In particular, using the disclosed methods, it is possible to isolate a variant nucleic acid (i.e., a mutation) from a non-target nucleic acid (i.e., a wild-type) when the variant is present in the original sample at a much lower concentration than the non-target, e.g., 1:10,000, without substantial loss of the variant.

Abstract: Methods and apparatus providing improved fidelity and specificity when separating nucleic acids from a sample, but without need for amplification. In particular, using the disclosed methods, it is possible to isolate a variant nucleic acid (i.e., a mutation) from a non-target nucleic acid (i.e., a wild-type) when the variant is present in the original sample at a much lower concentration than the non-target, e.g., 1:10,000, without substantial loss of the variant.

Abstract: The trust reputation of the combination of an installation package and installer, as a pair, and the combination of a file and an installer, as a pair, is used to store the identity of a file in a persistent cache. An entry in the persistent cache indicates the trust worthiness of a file that does not contain malware thereby avoiding a scan of the file for malware. The trust worthiness of a file may be determined from known trust reputations of the installation package, installer, and file from a network of computing resources. By relying on the known trust reputation of the combination of the installation package and installer and the combination of the file and installer, the identity of the file may be stored in persistent cache quickly.

Abstract: Methods and apparatus providing improved fidelity and specificity when separating nucleic acids from a sample, but without need for amplification. In particular, using the disclosed methods, it is possible to isolate a variant nucleic acid (i.e., a mutation) from a non-target nucleic acid (i.e., a wild-type) when the variant is present in the original sample at a much lower concentration than the non-target, e.g., 1:10,000, without substantial loss of the variant.

Abstract: In some embodiments, a local agent on a target system may evaluate current and/or historical system state information from a store (either local or remote) and dynamically adjust the level of diagnosis performed during the scan based on the evaluated state information. Individual diagnostic scans may, for example, be enabled and disabled based on the context in the store, and each scan may update the context for further evaluation. By employing such an approach, systems with a low risk profile and lacking symptoms of a problem may be scanned quickly while systems that show signs of a problem or have a high risk profile may receive a more thorough evaluation.