Abstract: A computer-implemented method is disclosed. The method includes obtaining a candidate pair of a plurality of digitally stored documents from a document database. The method automatically computes relative positional differences between each digitally stored document of the candidate pair. The method compares the relative positional differences with a similarity function to form a difference similarity vector for the candidate pair. The difference similarity vector includes components corresponding to each relative positional difference. The method aggregates the components of the difference similarity vector to determine a final score for the candidate pair. The method determines a document-level similarity metric from the final score.

Abstract: Methods and systems for a borrower identification and prediction of credit risk associated with the identified borrower is provided. The system includes a server that retrieves an electronic message that includes details of transactions conducted by a first entity over a time. The electronic message is parsed based on a predefined parameter, to identify a second entity, where the first entity has conducted a business transaction with the second entity. Further, a first set of details associated with the second entity is obtained from one or more resources associated with the server. Furthermore, a knowledge graph is generated based on the business transaction and the first set of details. The knowledge graph indicates an association between the first entity and the second entity. Subsequently, a credit risk score associated with lending money to the second entity is predicted based on the knowledge graph.

Abstract: A computer-implemented method is disclosed. The method includes obtaining, by a de-duplication server, a candidate pair of a plurality of digitally stored documents from a document database. Text elements are identified from each digitally stored document in the candidate pair in response, and the text elements are stored as document extraction attributes. The method then automatically computes and stores relative positional differences of the text elements between each digitally stored document of the candidate pair and a document similarity score based on the relative positional differences. The relative positional differences are compared with a similarity function to form a difference similarity vector for the candidate pair. The difference similarity vector comprises components corresponding to each relative positional difference. The components of the difference similarity vector are aggregated to determine a final score for the candidate pair.

Abstract: Disclosed is a method for displaying actionable information on an electronic vehicle display panel which includes: receiving data from a plurality of sensors. The data received from each of the plurality of sensors is analyzed to determine a data category for the data from each sensor, wherein each data category corresponds to an information priority level. The data from each of the plurality of sensors is displayed according to the determined data category, wherein data within a data category corresponding to a high information priority level is displayed more prominently relative to other data, and wherein data within a data category corresponding to a low information priority level is displayed less prominently relative to other data; and displaying at least a portion of the data as at least one from the set of: a fuel cell voltage difference, a hydrogen flow rate, a temperature discrepancy, and a rate of temperature change.

Abstract: Computer-implemented techniques for repeatable and interpretable divisive analysis. In one embodiment, for example, a method comprises: identifying top-level cohorts of data items based on one or more characteristics of the data items in common; recursively or iteratively dividing a selected top-level cohort in a top-down manner resulting in a plurality of sub-level cohorts arranged in a hierarchy; detecting a particular data item that is a statistical outlier among data items of a leaf cohort in the hierarchy; and causing display of an indication in a computer user interface that the particular data item is an outlier.

Abstract: A computer-implemented method is disclosed. The method includes obtaining, by a de-duplication server, a candidate pair of a plurality of digitally stored documents from a document database. Text elements are identified from each digitally stored document in the candidate pair in response, and the text elements are stored as document extraction attributes. The method then automatically computes and stores relative positional differences of the text elements between each digitally stored document of the candidate pair and a document similarity score based on the relative positional differences. The relative positional differences are compared with a similarity function to form a difference similarity vector for the candidate pair. The difference similarity vector comprises components corresponding to each relative positional difference. The components of the difference similarity vector are aggregated to determine a final score for the candidate pair.

Abstract: Computer-implemented techniques for repeatable and interpretable divisive analysis. In one embodiment, for example, a method comprises: identifying top-level cohorts of data items based on one or more characteristics of the data items in common; recursively or iteratively dividing a selected top-level cohort in a top-down manner resulting in a plurality of sub-level cohorts arranged in a hierarchy; detecting a particular data item that is a statistical outlier among data items of a leaf cohort in the hierarchy; and causing display of an indication in a computer user interface that the particular data item is an outlier.

Abstract: A method and apparatus for generating recommendation data for cataloging items in an e-procurement system is provided. In various embodiments, a database of records is created and maintained corresponding to a plurality of transactions in an e-procurement system. In various embodiments, database records are weighted and sorted according a transaction method associated with the records. In various embodiments, recommendation data is generated for items associated with the records to suggest more efficient methods for offering items for procurement in an e-marketplace based on the weights and sort order of the records.

Abstract: Systems and methods for improving a computing system comparing past post-approved transaction records to past pre-approved transaction records are described herein. In an embodiment, a server stores a first plurality of digital electronic records identifying a plurality of past post-approved transactions by a first entity and a second plurality of digital electronic records for the first entity identifying a plurality of past pre-approved transactions by the first entity. The server uses a first machine learning system to determine that a subset of the first plurality of digital electronic records which identify a subset of the plurality of past post-approved transactions correspond to one or more pre-identified categories and a second machine learning system to match one or more particular digital electronic records of the subset of the first plurality of digital electronic records with one or more records of the second plurality of digital electronic records.

Abstract: Computer-implemented techniques for repeatable and interpretable divisive analysis. In one embodiment, for example, a method comprises: identifying top-level cohorts of data items based on one or more characteristics of the data items in common; recursively or iteratively dividing a selected top-level cohort in a top-down manner resulting in a plurality of sub-level cohorts arranged in a hierarchy; detecting a particular data item that is a statistical outlier among data items of a leaf cohort in the hierarchy; and causing display of an indication in a computer user interface that the particular data item is an outlier.

Abstract: Systems and methods for improving a computing system comparing past post-approved transaction records to past pre-approved transaction records are described herein. In an embodiment, a server stores a first plurality of digital electronic records identifying a plurality of past post-approved transactions by a first entity and a second plurality of digital electronic records for the first entity identifying a plurality of past pre-approved transactions by the first entity. The server uses a first machine learning system to determine that a subset of the first plurality of digital electronic records which identify a subset of the plurality of past post-approved transactions correspond to one or more pre-identified categories and a second machine learning system to match one or more particular digital electronic records of the subset of the first plurality of digital electronic records with one or more records of the second plurality of digital electronic records.

Abstract: A method and apparatus for generating recommendation data for cataloging items in an e-procurement system is provided. In various embodiments, a database of records is created and maintained corresponding to a plurality of transactions in an e-procurement system. In various embodiments, database records are weighted and sorted according a transaction method associated with the records. In various embodiments, recommendation data is generated for items associated with the records to suggest more efficient methods for offering items for procurement in an e-marketplace based on the weights and sort order of the records.

Abstract: Systems and methods for improving a computing system comparing past post-approved transaction records to past pre-approved transaction records are described herein. In an embodiment, a server stores a first plurality of digital electronic records identifying a plurality of past post-approved transactions by a first entity and a second plurality of digital electronic records for the first entity identifying a plurality of past pre-approved transactions by the first entity. The server uses a first machine learning system to determine that a subset of the first plurality of digital electronic records which identify a subset of the plurality of past post-approved transactions correspond to one or more pre-identified categories and a second machine learning system to match one or more particular digital electronic records of the subset of the first plurality of digital electronic records with one or more records of the second plurality of digital electronic records.

Abstract: Computer-implemented techniques for repeatable and interpretable divisive analysis. In one embodiment, for example, a method comprises: identifying top-level cohorts of data items based on one or more characteristics of the data items in common; recursively or iteratively dividing a selected top-level cohort in a top-down manner resulting in a plurality of sub-level cohorts arranged in a hierarchy; detecting a particular data item that is a statistical outlier among data items of a leaf cohort in the hierarchy; and causing display of an indication in a computer user interface that the particular data item is an outlier.

Abstract: The invention relates to a support structure of a cover of a structure capable of being inserted into the ground, for example of a shaft or a channel, wherein the cover (10) comprises a traversable surface (11) and the support structure (20) extends downwards under said cover into the structure and comprises beam-shaped supports (21-23) such that their under support side (24) facing away from the surface (11) experiences a tensile stress when the surface (11) is loaded. The invention is further characterized in that between two areas (A, A?) a thickness (D) of the carriers with minimum tensile stress is configured substantially symmetrically in an increasing manner up to a maximum value and then, in turn, in a decreasing manner to form a ball shape when viewing the cover from below.

Abstract: The systems and methods described herein generally relate to spinal cord stimulation (SCS) therapy and more particularly to monitoring the SCS therapy and determining an adjustment to a position of a lead or electrodes delivering the SCS therapy to the patient. The systems and methods deliver a SCS therapy to a portion of an array of electrodes of a lead, and analyze physiological signals measured by a set of sensors relative to each other. The set of sensors are positioned bilaterally on a patient. Further, the systems and methods determine an adjustment in a position of the lead or the SCS therapy based on a relation between the physiological signals.

Abstract: The present disclosure provides systems and methods for programming an implanted device when a patient is remote from a clinician. A system includes a patient programmer configured to be operated by the patient, a clinician programmer configured to be operated by the clinician, and a remote diagnostic server configured to facilitate secure communication between the patient programmer and the clinician programmer, wherein the remote diagnostic server is configured to initiate a secure programming session between the patient programmer and the clinician programmer, receive a proposed stimulation program from the clinician programmer, transmit the proposed stimulation program to the patient programmer, receive an indication from the patient programmer that the patient has accepted the proposed stimulation program, and transmit an alert to the clinician programmer, the alert indicating that the patient has accepted the proposed stimulation program.

Abstract: This invention provides the field of therapeutics. Most specifically present invention provides methods of generating in vitro engineered dendritic cells conditionally expressing interleukin-12 (IL-12) under the control of a gene expression modulation system in the presence of activating ligand and uses for therapeutic purposes in animals including human.

Abstract: This disclosure relates to a transdermal therapeutic system (TTS) containing pramipexole or related compounds and methods of making the system as well as its use in administering such compounds as a single dose over an extended period, for example, one week. The system comprises an acrylic-based or silicone-based matrix layer containing pramipexole at concentrations of at least about 5 wt. % of the matrix, which is resistant to crystallizing and discoloration of the active ingredient even when stored over long periods.