Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.

Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.

Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naive Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.

Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.

Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.

Abstract: Systems and methods of improving the operation of a transaction network and transaction network devices is disclosed. A VIC assignment system may comprise various modules and engines as discussed herein wherein a VIC code may be determined and assigned to a merchant for establishing proper usage of differentiated transaction instruments according to their proper purposes, marketing and cross-marketing of differentiated transaction instruments, and provision of value-added services, such as credit risk evaluation, fraud detection, bonusing, and dispute arbitration. For instance, a VIC code may be identified, whereby the VIC assignment system may tailor the handling of the transactions, such as by denying them, whereby the transaction network may actively deter misuse of transaction products, or tailor the handling of electronically delivered advertisements, such as by targeting them, whereby the transaction network more properly functions according to approved parameters.

Abstract: A uranium-base alloy consists essentially of the formula U.sub.bal --Ti.sub.x --W.sub.y, where x ranges from about 0.5 to 1.0 and y ranges from about 0.25 to 2.0. The alloy exhibits high strength, good ductility and high density and is especially suited for use in ballistic penetration cores.

Abstract: A uranium-base alloy consists essentially of the formula U.sub.bal -Ti.sub.x -Hf.sub.y, where "x" ranges from about 0.5 to 1.0 and "y" ranges from about 0.5 to 5.0. The alloy exhibits high strength, good ductility and high density and is especially suited for use in ballistic penetrator cores.

Abstract: Copper alloys having high conductivity at room temperature and superior resistance to softening at elevated temperatures comprise oxygen-free copper containing small but effective amounts of selenium and manganese, and in particular about 4 to about 100 parts per million selenium and about 4 to about 100 parts per million manganese. The alloys can advantageously be used in place of copper-silver alloys, with a realization of improved properties and reduced cost.

Abstract: A method of casting high melting point metal such as refractory metals into ngots to provide substantially improved strength and density. A quantity of high melting point metal is placed in an arc area of a furnace having a "T" shaped vacuum chamber with a pair of opposing electrodes which generate an arc to cause droplets of the metal to melt from the heat thereby generated. The droplets fall into a mold positioned to receive the droplets and shaped to form the desired ingot. The method includes an additional step of further heating the droplets as they fall into the mold with a plasma arc gun mounted inside the furnace. The gun is directed to impinge its heat torch to control the rate of solidification such that a small pool of the liquid phase is maintained on the ingot. The last step comprises solidifying the molten metal in the ingot by controlling the plasma arc gun and the heat generated from it.

Abstract: A method for making uranium-tungsten alloy of high strength comprising raly chilling a molten solution of tungsten in uranium to form a ribbon. Subsequent to pulverizing and consolidation, heating effects a precipitation of tungsten in the uranium to effect significant strengthening. A strengthened uranium with 1/2-5%, by weight of tungsten is particularly useful for KE penetrators.

Abstract: This invention describes a process for producing copper alloys by rapid sdification in order to improve their strength and thermal stability after being exposed to elevated temperatures. The method used to rapidly solidify the molten alloy is either by use of a high pressure non-oxidizing gas spray to atomize the molten alloy into a powder or to pour the molten alloy onto a rotating wheel to form a ribbon which is then attrited into powder. The powder is canned, compacted to full density and cold worked to the desired shape.