Abstract: The operation of an automatic data input and query system is controlled by well-defined control data. The system exposes user interfaces enabling an administrator to interact with control data to modify the ongoing operation of the system. Certain control data determines the collection and treatment of data from various technology sources. A robust control interface is provided enabling the efficient and reliable adding on of new technology data sources. Once established, control data for a new technology data source may be packaged in a form for archiving or distribution. The system may support the export and import of such packages. Such packages may be created independently of the system.

Abstract: A method for removing particles from water, the method comprising: supplying gelatinous zooplankton mucus to water comprising particles; allowing formation of particle aggregates in the water by allowing interaction between the particles in the water and the gelatinous zooplankton mucus; removing the particle aggregates from the water by passing the water comprising particle aggregates through a filter configured to receive water comprising particle aggregates and further filter the water; and exiting filtered water from the filter. A system for removing particles from water with the aforementioned method is also provided. Additional embodiments of the system and method for removing particles from water are disclosed herein.

Abstract: The disclosure relates to recombinant vectors and methods for using the same. In certain embodiments, the recombinant vectors are immunogenic.

Abstract: The operation of an automatic data input and query system is controlled by well-defined control data. The system exposes user interfaces enabling an administrator to interact with control data to modify the ongoing operation of the system. Certain control data determines the collection and treatment of data from various technology sources. A robust control interface is provided enabling the efficient and reliable adding on of new technology data sources. Once established, control data for a new technology data source may be packaged in a form for archiving or distribution. The system may support the export and import of such packages. Such packages may be created independently of the system.

Abstract: Determining a set of extraction rules include clustering event segments into at least a first group of event segments, and determining, using first field data in the first group of event segments, a first set of extraction rules for extracting the first field data from each event segment of the first group of event segments. A determination is made that the first set of extraction rules fails to successfully extract all of the first field data. Responsive to the determination, the event segments are re-clustered into at least a second group of event segments and a third group of event segments until a successful set of extraction rules are identified. The successful set of extraction rules are stored in computer memory.

Abstract: The operation of an automatic data input and query system is controlled by well-defined control data. The system exposes user interfaces enabling an administrator to interact with control data to modify the ongoing operation of the system. Certain control data determines the collection and treatment of data from various technology sources. A robust control interface is provided enabling the efficient and reliable adding on of new technology data sources. Once established, control data for a new technology data source may be packaged in a form for archiving or distribution. The system may support the export and import of such packages. Such packages may be created independently of the system.

Abstract: The operation of an automatic data input and query system is controlled by well-defined control data. Certain control data may relate to data schemas and direct operations performed by the system to extract fields from machine data. Automatic methods may determine proper field extraction control information by analyzing a sample of data from a source, breaking the sample data into event segments, classifying the segments into groups based on a measure of similarity, determining an operable extraction rule for each group, and storing the resulting extraction model. Data patterns known by the system can be leveraged to perform the event breaking and field identification for the classifying. Embodiments may provide a user interface to view, interact with, and approve the computer-generated extraction model.

Abstract: A computer-implemented method for providing new data object metadata, and by enhancing the scope of OS functionality, block the exfiltration and corruption of data (including ransomware) by cybercriminals and insiders.

Abstract: A computer has an operating system configured to intercept requests for access to data objects and to check in a look-up table whether the combination of requesting program and location for the requesting program is recorded in the table for a confidential data object. The data object can be a database table, but can be any file to which access is to be restricted, such as a text document, an image file, and an audio file. The invention further provides a method of controlling access to data objects stored in data storage, in which access to confidential objects is restricted to application programs run from specific locations and registered in the system.

Abstract: Techniques and mechanisms are disclosed that enable a data collection system to adaptively control collection of data from one or more external data sources. At a high level, adaptively controlling collection of data from external data sources may include collecting performance information related to one or more data collection nodes and, in response to analyzing the collected performance information, adapting rates at which the data collection nodes send data collection requests to external data sources. Data collection performance information generally may include, but is not limited to, network traffic data, error messages generated by external data sources and/or data collection nodes, computing device performance information, and any other types of information related to a data collection node's ability to collect data from external data sources.

Abstract: Techniques and mechanisms are disclosed that enable a data collection system to adaptively control collection of data from one or more external data sources. At a high level, adaptively controlling collection of data from external data sources may include collecting performance information related to one or more data collection nodes and, in response to analyzing the collected performance information, adapting rates at which the data collection nodes send data collection requests to external data sources. Data collection performance information generally may include, but is not limited to, network traffic data, error messages generated by external data sources and/or data collection nodes, computing device performance information, and any other types of information related to a data collection node's ability to collect data from external data sources.

Abstract: Methods are provided for diagnosis, prognosis, and treatment associated with a cardiovascular event in a subject as well as methods of providing anti-platelet therapy. The methods can comprise obtaining a sample from the subject, and determining the presence of at least two single nucleotide polymorphisms (SNP) in the sample selected from Rs7541936 in PTGER3, Rs977214 in PTGER3, and Rs2206343 in PTGER3. The methods can also comprise determining the presence in the sample of Rs4383756 in PTGER4. Some methods comprise administering conventional anti-platelet therapy to the subject if Rs4383756 in PTGER4 is present in the sample. Furthermore, some methods comprise administering an EP3 antagonist and/or conventional anti-platelet therapy to the subject if Rs4383756 in PTGER4 is not present in the sample. The cardiovascular event can involve thrombosis or an embolic event, a myocardial infarction, a stroke, a primary cardiovascular event, or coronary artery disease.

Abstract: Techniques and mechanisms are disclosed that enable a data collection system to adaptively control collection of data from one or more external data sources. At a high level, adaptively controlling collection of data from external data sources may include collecting performance information related to one or more data collection nodes and, in response to analyzing the collected performance information, adapting rates at which the data collection nodes send data collection requests to external data sources. Data collection performance information generally may include, but is not limited to, network traffic data, error messages generated by external data sources and/or data collection nodes, computing device performance information, and any other types of information related to a data collection node's ability to collect data from external data sources.

Abstract: The operation of an automatic data input and query system is controlled by well-defined control data. Certain control data may relate to data schemas and direct operations performed by the system to extract fields from machine data. Automatic methods may determine proper field extraction control information by analyzing a sample of data from a source, breaking the sample data into event segments, classifying the segments into groups based on a measure of similarity, determining an operable extraction rule for each group, and storing the resulting extraction model. Data patterns known by the system can be leveraged to perform the event breaking and field identification for the classifying. Embodiments may provide a user interface to view, interact with, and approve the computer-generated extraction model.

Abstract: The operation of an automatic data input and query system is controlled by well-defined control data. The system exposes user interfaces enabling an administrator to interact with control data to modify the ongoing operation of the system. Certain control data determines the collection and treatment of data from various technology sources. A robust control interface is provided enabling the efficient and reliable adding on of new technology data sources. Once established, control data for a new technology data source may be packaged in a form for archiving or distribution. The system may support the export and import of such packages. Such packages may be created independently of the system.

Abstract: The operation of an automatic data input and query system is controlled by well-defined control data. Technology Add-On (TA) control data extends the operations of the system to gather and process machine data from additional sources. A user interface is exposed enabling a user who may be agnostic of requirements imposed by the system for TA content and format, to build a proper TA for controlling the system.

Abstract: The disclosure relates to recombinant vectors and methods for using the same. In certain embodiments, the recombinant vectors are immunogenic.

Abstract: Methods, uses, compositions and kits for modulating HIV replication based on PD-1 modulation are disclosed. Methods, uses, compositions and kits useful for the elimination of latent HIV reservoirs based on PD-1 inhibition are also disclosed. Methods and kits useful for identifying agents useful for modulating HIV replication are also disclosed.

Abstract: The disclosure relates to recombinant vectors and methods for using the same. In certain embodiments, the recombinant vectors are immunogenic.

Abstract: Techniques and mechanisms are disclosed that enable a data collection system to adaptively control collection of data from one or more external data sources. At a high level, adaptively controlling collection of data from external data sources may include collecting performance information related to one or more data collection nodes and, in response to analyzing the collected performance information, adapting rates at which the data collection nodes send data collection requests to external data sources. Data collection performance information generally may include, but is not limited to, network traffic data, error messages generated by external data sources and/or data collection nodes, computing device performance information, and any other types of information related to a data collection node's ability to collect data from external data sources.