A computer processor may extract identity information from a document. The identity information may include at least one custodian identity attribute. After extracting the identity information, the computer processor may determine that the identity information is associated with a specific custodian. The computer processor may then search for the custodian identity attribute in a custodian directory to determine whether the custodian directory contains an entry for the custodian. If the custodian is not in the custodian directory, the computer processor may create a new entry in the custodian directory for the custodian and store the extracted identity information in the new entry.

Maintaining a custodian directory by analyzing documents

The present disclosure relates to methods, systems, and storage media for classifying phone numbers based on node profile data. Exemplary embodiments for classifying phone numbers based on node profile data may maintain a plurality of node profiles and generate a plurality of activity field-value pairs from an electronic activity. Each activity field-value pair of the plurality of activity field-value pairs corresponding to at least one participant of the electronic activity. Exemplary embodiments may further parse the electronic activity to identify a string corresponding to an electronic activity phone number, determine a type of phone number to which the electronic activity phone number corresponds using a data structure, identify a node profile of the plurality of node profiles corresponding to a participant of the electronic activity to which the electronic activity phone number corresponds, and update the identified node profile by the determined phone number type.

Systems and methods for classifying phone numbers based on node profile data

A representative sample of an online social network is formed by performing a deterministic process that coalesces to indicate success. A random value is selected for seeding the process. Based on the random value, the process is executed and once the process coalesces, a proper sampling of the online social network results.

Method and system for sampling online social networks

A system can receive sets of contact information from a plurality of devices. Each set of contact information can be associated with a user account of a plurality of user accounts. The system can determine connection information for the plurality of user accounts based on the received sets of contact information. The system can identify a first subset of user accounts is identified as being trusted and a second subset of user accounts is identified as being fraudulent, and subsequently, identify one or more user accounts that are not in the first subset and not in the second subset as being trusted or fraudulent based, at least in part, on the connection information for the plurality of user accounts, and the identified first subset and the identified second subset.

Determining fraudulent user accounts using contact information

The present disclosure discloses methods and systems for identifying a target profile of a source user on a target social network, based on a corresponding source profile at a source social network. The method includes extracting one or more matching profiles from the target social network, based on one or more static profile features of the source profile, determining one or more dynamic profile features of the source profile and each matching profile, based on real-time user activities on the source and target social networks, and identifying the target profile from the one or more matching profiles, based on a comparison of the one or more dynamic profile features of the source profile with corresponding one or more features of the one or more matching profiles.

Methods and systems for identifying same users across multiple social networks

Disclosed herein is a matching of multiple different social graphs to generate a combined social graph. Such a combined social graph may be searched and used in determining information to provide to a user, for example. An iterative metric learning approach may be used in matching multiple different social graphs. A mechanism is provided to validate a match from different social graphs. Match validation of data field matching is provided.

Information matching and match validation

Iron oxide-manganese oxide nanoparticles with tunable morphology and switchable MRI contrast mode triggered by intracellular conditions.

The clinical implementation of magnetic hyperthermia has experienced little progress since the first clinical trial was completed in 2005. Some of the hurdles to overcome are the reliable production of magnetic nanoparticles with controlled properties and the control of the temperature at the target tissue in vivo. Here, forty samples of iron oxide superparamagnetic nanoparticles were prepared by similar methods and thoroughly characterized in terms of size, aggregation degree, and heating response. Selected samples were intratumorally administered in animals with subcutaneous xenografts of human pancreatic cancer. In vivo experiments showed that it is possible to control the rise in temperature by modulating the field intensity during in vivo magnetic hyperthermia protocols. The procedure does not require sophisticated materials and it can be easily implemented by researchers or practitioners working in magnetic hyperthermia therapies.

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Fine Control of In Vivo Magnetic Hyperthermia Using Iron Oxide Nanoparticles with Different Coatings and Degree of Aggregation

In this work, we describe the synthesis of magnetic nanoparticles composed of a maghemite core (MNP) and three different coatings (dextran, D-MNP; carboxymethyldextran, CMD-MNP; and dimercaptosuccinic acid, DMSA-MNP). Their interactions with red blood cells, plasma proteins, and macrophages were also assessed. CMD-MNP was selected for its good biosafety profile and for promoting a pro-inflammatory response in macrophages, which was associated with the nature of the coating. Thus, we proposed a smart miRNA delivery system using CMD-MNP as a carrier for cancer immunotherapy applications. Particularly, we prove that CMD-MNP-miRNA155 and CMD-MNP-miRNA125b nanoparticles can display a pro-inflammatory response in human macrophages by increasing the expression of CD80 and the levels of TNF-α and IL-6. Hence, our proposed miRNA-delivery nanosystem can be exploited as a new immunotherapeutic tool based on magnetic nanoparticles.

Synergistic immunomodulatory effect in macrophages mediated by magnetic nanoparticles modified with miRNAs.

We introduce a technique to compute probably approximately correct (PAC) bounds on precision and recall for matching algorithms. The bounds require some verified matches, but those matches may be used to develop the algorithms. The bounds can be applied to network reconciliation or entity resolution algorithms, which identify nodes in different networks or values in a data set that correspond to the same entity. For network reconciliation, the bounds do not require knowledge of the network generation process.

David Garcia Soriano

Papers

Information matching and match validation

Iron oxide-manganese oxide nanoparticles with tunable morphology and switchable MRI contrast mode triggered by intracellular conditions.

Fine Control of In Vivo Magnetic Hyperthermia Using Iron Oxide Nanoparticles with Different Coatings and Degree of Aggregation

Synergistic immunomodulatory effect in macrophages mediated by magnetic nanoparticles modified with miRNAs.

Validation of matching