Abstract: A door management system on an aircraft includes a fuselage extending along a longitudinal axis in a fore-aft direction parallel to forward flight, an opening in a sidewall of the fuselage, a door mounted on the sidewall to slide in the fore-aft direction between a closed position covering the opening and an open position revealing the opening, a cable attached to the fuselage and the door and a speed governor operatively coupled to the cable to limit a velocity of the door as it moves between the open position and the closed position.

Abstract: A system to analyse impact of data breaches on sensitive data is disclosed. The system includes a hardware processor and memory with program instructions for executing various modules. The data collection module retrieves and enriches impacted data from multiple repositories. The data identification module uses data loss prevention (DLP) and named entity recognition (NER) techniques, enhanced by large language models (LLMs), to accurately identify personal information. The identity deduplication module consolidates individual references using deterministic and probabilistic techniques, while the residency inference module applies machine learning and heuristic methods to determine residency based on various data sources. The analysis module assesses impacted data to identify relevant laws and estimate fines. The automation module streamlines response actions, including generating notifications and ensuring compliance.

Abstract: A computer-implemented system for inferred lineage in data transformations is disclosed. A transformation module of the system includes a variation generation module to generate a plurality of variants by applying transformations to f source tables and corresponding target tables, a comparison module computes a table similarity and an inverse document frequency term, a sorting module to sort the columns of the source table, revise a plurality of estimates, and prune the column of the source table for a low revised estimates of coverage. A similar descriptors transformation module calculates a histogram-based similarity of two columns and variants, maps entries of the columns, calculate a score between the two histograms, and compute an artificial intelligence embedding. A mutual information module builds a supervised regression model, ranks importance of each feature, iteratively remove one feature, and stops the iterative removal of the feature at an occurrence of a jump in loss value.

Abstract: A system and a method for classifying sensitive data elements in a file is provided. The method includes receiving and converting, the unstructured data file into a machine-readable format and generating, a plurality of sensitive data features. The plurality of sensitive data features represents single element of the sensitive data. The method includes generating, a plurality of adjacent elements corresponding to the single elements of the sensitive data and generating a plurality of feature categories. The method includes aggregating, the plurality of adjacent node features and the plurality of edge features. The method includes calculating and concatenating the plurality of aggregated adjacent nodes features and the plurality of aggregated edge features. The method includes comparing, the distance of the sensitive data from all of the adjacent sensitive data. The method includes classifying and predicting, the sensitive data to be a true positive or false positive sensitive data by using machine learning.

Abstract: A door management system on an aircraft includes a fuselage extending along a longitudinal axis in a fore-aft direction parallel to forward flight, an opening in a sidewall of the fuselage, a door mounted on the sidewall to slide in the fore-aft direction between a closed position covering the opening and an open position revealing the opening, a cable attached to the fuselage and the door and a speed governor operatively coupled to the cable to limit a velocity of the door as it moves between the open position and the closed position.

Abstract: A system for determination and classification of personal identifiable information in a file using machine learning is disclosed. The system includes a processing subsystem which includes a pre-processing module and a machine learning module. The preprocessing module receives a data source including a plurality of structured data, a plurality of semi-structured data, and a plurality of unstructured data from a web page, converting the data source into a machine-readable format. The machine learning module includes a feature detection module detecting personal identifiable information features from a group of a plurality of groups, a feature extraction module extracts the plurality of personal identifiable information features from the group of at least one of a static list and a stream. The context recognition module contemplates a plurality of data source-specific features to recognize the context of personal identifiable information.

Abstract: A system and a method for entity resolution is disclosed. An entity reference parsing subsystem to parse one or more entity references of a corresponding seed set of entity into corresponding one or more personal data properties and property values. A property value standardization subsystem performs one or more standardization operations for standardization of the corresponding one or more property values. A property value anonymization subsystem secures the one or more property values by performing one or more anonymization procedures. A property strength quantification subsystem identifies at least one additional property suspected to belong to the seed set of the entity, assigns a property strength score to the at least one additional property, adds the at least one additional property to the corresponding seed set of entity. A local entity resolution and a global entity resolution subsystem performs a first and a second entity resolution process respectively.

Abstract: A system for association of data elements within a document is disclosed. An input data receiving subsystem receives an input data source of the document. A feature generation subsystem obtains one or more lists of personal data, generates one or more personal data features representing a relationship between one or more personal data elements. An affinity computation subsystem assesses each of the one or more personal data features, computes affinity score between the one or more personal data elements, generates one or more affinities. A personal data relationship identification subsystem assigns the one or more personal data elements to corresponding one or more identification stages, derives a set of identities corresponding to the one or more personal data elements. An identity filtration subsystem receives the one or more affinities and the set of identities, determines a validation of the set of identities, filters out the set of identities.

Abstract: A system and a method for classifying sensitive data elements in a file is provided. The method includes receiving and converting, the unstructured data file into a machine-readable format and generating, a plurality of sensitive data features. The plurality of sensitive data features represents single element of the sensitive data. The method includes generating, a plurality of adjacent elements corresponding to the single elements of the sensitive data and generating a plurality of feature categories. The method includes aggregating, the plurality of adjacent node features and the plurality of edge features. The method includes calculating and concatenating the plurality of aggregated adjacent nodes features and the plurality of aggregated edge features. The method includes comparing, the distance of the sensitive data from all of the adjacent sensitive data. The method includes classifying and predicting, the sensitive data to be a true positive or false positive sensitive data by using machine learning.

Abstract: Embodiments of devices and methods for evaluating tissue are disclosed. In one embodiment, a method for measuring a characteristic of a tissue may include passing a current through the tissue, measuring a signal corresponding to the voltage resulting from passing the current through the tissue, analyzing current passed through the tissue and resulting voltage to determine the electrical characteristics of the tissue; and analyzing the electrical characteristics of the tissue to determine a status of the tissue. Methods for achieving relatively constant sensor application pressure are disclosed.

Abstract: An aircraft including a nacelle configured as a housing for an engine and disposed at a fixed location relative a wing member; a proprotor housing coupled to the nacelle, the proprotor housing configured to selectively rotate between a horizontal orientation and a non-horizontal orientation; a door hingedly coupled to the proprotor housing by a first hinge joint and hingedly coupled to the nacelle by a second hinge joint. An aspect includes an aircraft with a proprotor coupled to a wing member, the proprotor comprising a forward portion and an aft portion; wherein the forward portion is configured to selectively pivot between a horizontal orientation and a non-horizontal orientation about a conversion axis C; and wherein when the forward portion is in a non-horizontal orientation, the aft portion is in a horizonal orientation.

Abstract: Embodiments of devices and methods for evaluating tissue are disclosed. In one embodiment, a method for measuring a characteristic of a tissue may include passing a current through the tissue, measuring a signal corresponding to the voltage resulting from passing the current through the tissue, analyzing current passed through the tissue and resulting voltage to determine the electrical characteristics of the tissue; and analyzing the electrical characteristics of the tissue to determine a status of the tissue. Disposable sensors are disclosed.

Abstract: A system for association of data elements within a document is disclosed. An input data receiving subsystem receives an input data source of the document. A feature generation subsystem obtains one or more lists of personal data, generates one or more personal data features representing a relationship between one or more personal data elements. An affinity computation subsystem assesses each of the one or more personal data features, computes affinity score between the one or more personal data elements, generates one or more affinities. A personal data relationship identification subsystem assigns the one or more personal data elements to corresponding one or more identification stages, derives a set of identities corresponding to the one or more personal data elements. An identity filtration subsystem receives the one or more affinities and the set of identities, determines a validation of the set of identities, filters out the set of identities.

Abstract: A system and a method for entity resolution is disclosed. An entity reference parsing subsystem to parse one or more entity references of a corresponding seed set of entity into corresponding one or more personal data properties and property values. A property value standardization subsystem performs one or more standardization operations for standardization of the corresponding one or more property values. A property value anonymization subsystem secures the one or more property values by performing one or more anonymization procedures. A property strength quantification subsystem identifies at least one additional property suspected to belong to the seed set of the entity, assigns a property strength score to the at least one additional property, adds the at least one additional property to the corresponding seed set of entity. A local entity resolution and a global entity resolution subsystem performs a first and a second entity resolution process respectively.

Abstract: An aircraft including a nacelle configured as a housing for an engine and disposed at a fixed location relative a wing member; a proprotor housing coupled to the nacelle, the proprotor housing configured to selectively rotate between a horizontal orientation and a non-horizontal orientation; a door hingedly coupled to the proprotor housing by a first hinge joint and hingedly coupled to the nacelle by a second hinge joint. An aspect includes an aircraft with a proprotor coupled to a wing member, the proprotor comprising a forward portion and an aft portion; wherein the forward portion is configured to selectively pivot between a horizontal orientation and a non-horizontal orientation about a conversion axis C; and wherein when the forward portion is in a non-horizontal orientation, the aft portion is in a horizonal orientation.

Abstract: The present disclosure relates to the use of contact lenses for treating one or more ophthalmologic conditions. In some embodiments, the contact lenses may be used to treat presbyopia, induced myopia, computer vision syndrome (CVS), insufficient accommodation, or a condition associated with insufficient accommodation. The contact lens may include a number of regions having different geometries (e.g., curvature, width, diameter) depending on the flattest keratonomy of the cornea to achieve a suitable fit. For example, the contact lens may include an optic zone surrounded by an inner peripheral region and an outer peripheral region surrounding the inner peripheral region, each exhibiting varying degrees of curvature. The fitted contact lens may be selected based on a measured sagittal depth and/or eccentricity of the cornea. When fitted, an appropriate amount of fluid may accumulate between the cornea of the eye and the contact lens.

Abstract: The disclosed computer-implemented method for preparing honeypot computer files may include (1) identifying, at a computing device, a search term used by a cyber attacker in an electronic search request, (2) identifying, without regard to a search access restriction, a sensitive computer document in search results stemming from the electronic search request, (3) creating, as a security action in response to the electronic search request, a honeypot computer file based on the sensitive computer document and including the identified search term, and (4) placing the honeypot computer file in the search results. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Embodiments of devices and methods for evaluating tissue are disclosed. In one embodiment, a method for measuring a characteristic of a tissue may include passing a current through the tissue, measuring a signal corresponding to the voltage resulting from passing the current through the tissue, analyzing current passed through the tissue and resulting voltage to determine the electrical characteristics of the tissue; and analyzing the electrical characteristics of the tissue to determine a status of the tissue. Disposable sensors are disclosed.

Abstract: The disclosure relates to the use of contact lenses for treating ophthalmologic conditions, such as presbyopia, induced myopia, computer vision syndrome, insufficient accommodation, or a condition associated with insufficient accommodation. The contact lens may be selected based on a measured sagittal depth and/or eccentricity of the cornea. When fitted, fluid may accumulate between the cornea of the eye and the contact lens The lens may exhibit a sufficient amount of apical clearance such that when the wearer blinks, the lens moves no more than 1 mm on the eye. The lens and the eye may be structured such that bubbles greater than 0.5 mm in diameter are prevented from forming between the contact lens and the eye. The contact lens may be used in combination with a suitable bioactive agent providing for enhanced visual correction.

Abstract: An inlet barrier filter system for a tiltrotor aircraft comprising a filter duct extending from a filter to a filter outlet, a ram air duct extending from a ram air inlet to an engine where the filter duct connects to the ram air duct at the filter outlet, and a closure member movable between a first position blocking the ram air duct and a second position blocking the filter outlet. In use, the inlet barrier filter system provides for two mutually exclusive air flow paths, one for introducing ram air to the engine while closing off the filter and another air flow path for introducing filtered air to the engine while closing off the ram air duct.