Abstract: Embodiments of the present disclosure are directed to systems and methods for managing a database. In one or more examples, the system obtains input data comprising one or more data entries, where each data entry comprises one or more data items, and each data item comprises a field name and a field value. The system can generate a key-value set for each data item to obtain a plurality of key-value sets. Each key-value set includes at least a first key element comprising the field name of the respective data item and a second key element comprising the field value of the respective data item. The system can sort and store the plurality of key-value sets in the database. The system can further receive a query indicative of a field name or a field value, and generate, for display, an output based on retrieved key elements sets based on the query.

Abstract: Embodiments of the present disclosure provide systems and methods for performing one or more database operations. An exemplary method comprises: receiving, at a transaction manager, a client request to perform one or more database operations with client data, the transaction manager in communication with a database coordinator and a system datastore, sending the client request to the database coordinator to obtain a storage identifier based on the client request; receiving, at the transaction manager, the storage identifier from the database coordinator, sending an operation request to the system datastore, the operation request comprising instructions for the system datastore to perform the one or more database operations using the storage identifier, and receiving an indication of whether the operation request was successfully performed.

Abstract: First event data, indicative of a first activity on a computer network and second event data indicative of a second activity on the computer network, is received. A first machine learning anomaly detection model is applied to the first event data, by a real-time analysis engine operated by the threat indicator detection system in real time, to detect first anomaly data. A second machine learning anomaly detection model is applied to the first anomaly data and the second event data, by a batch analysis engine operated by the threat indicator detection system in a batch mode, to detect second anomaly data. A third anomaly is detected using an anomaly detection rule. The threat indictor system processes the first anomaly data, the second anomaly data, and the third anomaly data using a threat indicator model to identify a threat indicator associated with a potential security threat to the computer network.

Abstract: Embodiments of the present disclosure are directed to systems and methods for managing a database and performing database operations. An exemplary method in accordance with embodiments of this disclosure comprises: receiving a request to perform one or more database operations on a dataset comprising one or more data items; inputting the dataset into a statistical model, wherein the statistical model is configured to identify one or more storage locations associated with the one or more data items based on a similarity between one or more properties of the one or more data items; receiving the one or more storage locations associated with the one or more data items; updating the one or more data items based on the received one or more storage locations; and performing the one or more database operations on the one or more updated data items based on the one or more storage locations.

Abstract: Embodiments of the present disclosure are directed to systems and methods for managing a database. In one or more examples, the system obtains input data comprising one or more data entries, where each data entry comprises one or more data items, and each data item comprises a field name and a field value. The system can generate a key-value set for each data item to obtain a plurality of key-value sets. Each key-value set includes at least a first key element comprising the field name of the respective data item and a second key element comprising the field value of the respective data item. The system can sort and store the plurality of key-value sets in the database. The system can further receive a query indicative of a field name or a field value, and generate, for display, an output based on retrieved key elements sets based on the query.

Abstract: Techniques are described for processing anomalies detected using user-specified rules with anomalies detected using machine-learning based behavioral analysis models to identify threat indicators and security threats to a computer network. In an embodiment, anomalies are detected based on processing event data at a network security system that used rules-based anomaly detection. These rules-based detected anomalies are acquired by a network security system that uses machine-learning based anomaly detection. The rules-based detected anomalies are processed along with machine learning detected anomalies to detect threat indicators or security threats to the computer network. The threat indicators and security threats are output as alerts to the network security system that used rules-based anomaly detection.

Abstract: Embodiments of the present disclosure are directed to systems and methods for managing a database. In one or more examples, the system obtains input data comprising one or more data entries, where each data entry comprises one or more data items, and each data item comprises a field name and a field value. The system can generate a key-value set for each data item to obtain a plurality of key-value sets. Each key-value set includes at least a first key element comprising the field name of the respective data item and a second key element comprising the field value of the respective data item. The system can sort and store the plurality of key-value sets in the database. The system can further receive a query indicative of a field name or a field value, and generate, for display, an output based on retrieved key elements sets based on the query.

Abstract: Techniques are described for processing anomalies detected using user-specified rules with anomalies detected using machine-learning based behavioral analysis models to identify threat indicators and security threats to a computer network. In an embodiment, anomalies are detected based on processing event data at a network security system that used rules-based anomaly detection. These rules-based detected anomalies are acquired by a network security system that uses machine-learning based anomaly detection. The rules-based detected anomalies are processed along with machine learning detected anomalies to detect threat indicators or security threats to the computer network. The threat indicators and security threats are output as alerts to the network security system that used rules-based anomaly detection.

Abstract: Techniques are described for processing anomalies detected using user-specified rules with anomalies detected using machine-learning based behavioral analysis models to identify threat indicators and security threats to a computer network. In an embodiment, anomalies are detected based on processing event data at a network security system that used rules-based anomaly detection. These rules-based detected anomalies are acquired by a network security system that uses machine-learning based anomaly detection. The rules-based detected anomalies are processed along with machine learning detected anomalies to detect threat indicators or security threats to the computer network. The threat indicators and security threats are output as alerts to the network security system that used rules-based anomaly detection.

Abstract: Techniques are described for processing anomalies detected using user-specified rules with anomalies detected using machine-learning based behavioral analysis models to identify threat indicators and security threats to a computer network. In an embodiment, anomalies are detected based on processing event data at a network security system that used rules-based anomaly detection. These rules-based detected anomalies are acquired by a network security system that uses machine-learning based anomaly detection. The rules-based detected anomalies are processed along with machine learning detected anomalies to detect threat indicators or security threats to the computer network. The threat indicators and security threats are output as alerts to the network security system that used rules-based anomaly detection.

Abstract: The present invention relates generally to methods for one-step purification of organic polymers using tangential flow filtration. In one embodiment, the present invention relates to methods for size fractionation of heterogeneous organic polymers, such as poly(ethylene glycol) derivatives, using tangential flow filtration. The present invention also relates to purification of low molecular weight monofunctional organic polymer derivatives produced by procedures in which high molecular weight bifunctional poly(ethylene glycol) impurities are removed. The present invention further relates to purification of high molecular weight branched polymer products from low molecular weight starting materials.

Abstract: The present invention relates to blood products, and more particularly to compositions comprising a modified oxygenated hemoglobin having a high affinity for oxygen and methods for making such compositions. Such compositions according to the present invention have better stability to autooxidation and superior oxygen carrying characteristics.

Abstract: A system and method for host signaling processing that allows multiple SS7 applications to have visibility to the SS7 network traffic and the ability to control the SS7 network traffic. The applications residing on the platform have visibility to the SS7 traffic flowing through the Intelligent Communications Point (ICP) Platform, ability to control and modify the traffic and the ability to inject new SS7 traffic onto the SS7 links. The ICP platform will provide basic services that applications can use including Logging Data, Process Events, Inter Process Communication Services, and an interface to the Intelligent Communications Manager which provides a graphical user interface to manage the ICP. In addition to these services, the ICP Platform will provide basic traffic metering and measurement, bookkeeping statistics, and a failsafe mechanism for the SS7 links.

Abstract: The present invention relates to compositions and methods for delivering nitric oxide (NO) or carbon monoxide (CO) to cells using heme proteins as carriers.

Abstract: The present invention relates to methods for enhancing the hemodynamic stability of an individual undergoing surgery by administering a composition comprising a hemoglobin-based oxygen carrier. In one embodiment, the present invention relates to the use of polyalkylene oxide modified hemoglobins with reduced cooperativity and a high oxygen affinity to enhance oxygen offloading as a preventative measure to avoid hemodynamic stability-related complications during surgery.

Abstract: Compositions, and methods of use thereof, for use as blood substitute products comprise aqueous mixtures of oxygen-carrying and non-oxygen carrying plasma expanders and methods for the use thereof. The oxygen-carrying component may consist of any hemoglobin-based oxygen carrier, while the non-oxygen carrying plasma expander my consist of any suitable diluent.

Abstract: The present invention relates to blood products, and more particularly to compositions comprising a modified oxygenated hemoglobin having a high affinity for oxygen and methods for making such compositions. Such compositions according to the present invention have better stability to autooxidation and superior oxygen carrying characteristics.

Abstract: The present invention relates to blood product compositions, and more particularly to compositions comprising a modified hemoglobin and a crystalloid in an aqueous diluent. The present invention also relates to such blood product compositions which are formulated as hypertonic solutions to provide for low volume rapid restoration of hemodynamic parameters in hypovolemic states.

Abstract: A system and method for host signaling processing that allows multiple SS7 applications to have visibility to the SS7 network traffic and the ability to control the SS7 network traffic. The applications residing on the platform have visibility to the SS7 traffic flowing through the Intelligent Communications Point (ICP) Platform, ability to control and modify the traffic and the ability to inject new SS7 traffic onto the SS7 links. The ICP platform will provide basic services that applications can use including Logging Data, Process Events, Inter Process Communication Services, and an interface to the Intelligent Communications Manager which provides a graphical user interface to manage the ICP. In addition to these services, the ICP Platform will provide basic traffic metering and measurement, bookkeeping statistics, and a failsafe mechanism for the SS7 links.

Abstract: The present invention relates to blood products, and more particularly to compositions comprising a modified oxygenated hemoglobin having a high affinity for oxygen and methods for making such compositions. Such compositions according to the present invention have better stability to autooxidation and superior oxygen carrying characteristics.