Abstract: Systems and methods for contactless control of a physiological monitor are provided. A number of systems utilize an input device for audio-based control of a physiological monitor and/or an input device for gesture-based control of a physiological monitor. Many systems process audio (e.g., voice) or gesture commands to direct a physiological monitor to perform actions, such as begin monitoring, silencing an alarm, changing parameters, navigating screens and/or menus, and/or any other function. Such contactless systems reduce or eliminate physical contact with a physiological monitor, which can mitigate contamination between patients or individuals, which can occur via traditional systems.

Abstract: Systems and methods for group monitoring and management of network function statuses are provided. In one example, a method includes: generating a group query for statuses of a plurality of network functions of a network, in response to the group query performing group monitoring of the plurality of network functions to check the real-time status of each one of the plurality of network functions, receiving data corresponding to real-time status of each network function, comparing the data corresponding to real-time status with data corresponding to reference status for each one of the plurality of network functions, identifying presence or absence of an anomaly of each one of the plurality of network functions, based on the comparison, and generating a network function status output including data corresponding to the real-time status and an indication of the presence or absence of an anomaly for each network function.

Abstract: A printing apparatus and method. The printing apparatus is for impinging liquids from at least two liquid sources. The apparatus comprises a first jet actuator configured to dispense a first liquid from a first liquid source and a second jet actuator configured to dispense a second liquid from a second liquid source. The apparatus further comprises an adjustment element configured to adjust a trajectory of at least the first liquid dispensed from the first jet actuator such that the first liquid impinges the second liquid dispensed from the second jet actuator.

Abstract: Disclosed are systems and methods that automatically classify, filter, and reduce large volumes of feedback data as a function of time using artificial intelligence technology. The aggregated feedback data is reduced by representing the feedback data as sets of descriptors corresponding to one or more time periods that are displayed on a graphical user interface. Feedback data packets are parsed by labeling the feedback data packets with a time period identifier. The feedback data packets are processed utilizing neural network technology to classify the feedback data according to one or more subject identifiers that are each associated with a subject vector. A descriptor analysis is used to process the subject vectors and the feedback data packets to generate descriptor sets comprising one or more descriptors as well as weighting data for each descriptor.

Abstract: A transmission hydraulic control system includes a manual valve, a default valve, and a clutch prime valve. The manual valve allows fluid flow from a pressurized line to a drive line when the manual valve is open (when a transmission is in drive or reverse). The manual valve prevents fluid flow from the pressurized line to the drive line when the manual valve is closed (when the transmission is in neutral or park). The clutch prime valve allows fluid to flow from the pressurized line to the drive line, and thereby bypass the manual valve, when the manual valve is closed and the clutch prime valve is open. The default valve allows fluid bypassing the manual valve to flow to prime a clutch of the transmission when the default valve is open. The clutch prime valve prevents fluid from bypassing the manual valve when the clutch prime valve is closed.

Abstract: A method for public key infrastructure for serviceable electronic components is provided. The method includes identifying a plurality of electronic components in electronic communication with each other and establishing that each of the plurality of electronic components is a trusted device according to a certificate history including a plurality of signed public keys stored upon the respective electronic component. The method further includes utilizing Diffie-Hellman key exchange to distribute symmetric message authentication codes to each of the plurality of electronic components and communicating between the plurality of electronic components with the symmetric message authentication codes to achieve tangible functions that may be provided by the plurality of electronic components.

Abstract: A method for attestation of electronic components includes operating a system including the components. The components are configured for electronic communication with each other. A first electronic component provides plug-in hardware and/or configurable software. The method includes utilizing a second electronic component to perform attestation upon the first component using asymmetric key cryptography to verify authenticity. When using the asymmetric key cryptography successfully verifies the authenticity, the method includes selectively enabling one of power or data to the first component and communicating between the first component and the plurality of components to achieve tangible functions. When the cryptography fails to successfully verify the authenticity, the method includes selectively withholding one of power or data connection the first component.

Abstract: A system for interfacing with a meta-database representing data from a plurality of source databases. A key variable repository module operably couples the databases and includes an AI program with a scanner algorithm and a profiler algorithm. The scanner algorithm receives the source data from a source interface, compresses the data, and synchronizes the data with the meta-data using a meta-database interface. The profiler algorithm receives the meta-data from the meta-database interface, generates granular data types for the meta-data, determines variables indicative of the meta-data, generates variable probability distributions, produces variable associations, and modifies the meta-database to include the probability distributions and associations using the meta-data interface.

Abstract: A system for training a model from a subset of data representing decentrally stored source databases. A key variable repository module operably couples the databases and includes an AI program with a scanner algorithm and a profiler algorithm. The scanner algorithm receives the training data from a source interface, compresses the training data, and synchronizes the training data with the meta-data using a meta-database interface. The profiler algorithm receives the meta-data from the meta-database interface, generates granular data types for the meta-data, determines training variables indicative of the meta-data, generates variable probability distributions, produces training variable associations, and modifies the meta-database to include the probability distributions and associations using the meta-data interface. The key interface allows for searching the meta-database for training variables, variable probability distributions, and/or variable associations.

Abstract: A system for maintaining a meta-database including meta-data representing decentralized data from source databases, which cause inefficient selection of modeling data and/or variables. Each of source and meta-data interfaces communicate with the respective database(s). A key variable repository module operably couples the databases and includes an AI program with a scanner algorithm and a profiler algorithm. The scanner algorithm receives the source data from the source interface, compresses the data, and synchronizes the data with the meta-data using the meta-database interface. The profiler algorithm receives the meta-data from the meta-database interface, generates granular data types for the meta-data, determines variables indicative of the meta-data, generates variable probability distributions, produces variable associations, and modifies the meta-database to include the probability distributions and associations using the meta-data interface.

Abstract: The present disclosure relates to a method of preventing or treating a cancer via administering an EHMT2 inhibitor or a combination comprising an EHMT2 inhibitor compound and one or more additional therapeutic agent disclosed herein or a pharmaceutical composition thereof to subjects in need thereof. The present disclosure also relates to the use of such compounds or combinations for research or other non-therapeutic purposes.

Abstract: A system for interfacing with a meta-database representing data from a plurality of source databases. A key variable repository module operably couples the databases and includes an AI program with a scanner algorithm and a profiler algorithm. The scanner algorithm receives the source data from a source interface, compresses the data, and synchronizes the data with the meta-data using a meta-database interface. The profiler algorithm receives the meta-data from the meta-database interface, generates granular data types for the meta-data, determines variables indicative of the meta-data, generates variable probability distributions, produces variable associations, and modifies the meta-database to include the probability distributions and associations using the meta-data interface.

Abstract: Described herein are guide sleeves and kits for guide sleeves having a plurality of modules. Each module may have an axial extending main body having first and second axially spaced apart opposed ends and an outer sidewall. The modules may also have an axially extending internal opening extending between the first and second axially spaced apart opposed ends for receiving a flexible linear member. Internal rollers may be associated with the internal opening so that as the flexible linear member travels axially through the internal opening, the internal rollers rotate relative to the flexible linear member. When the modules are connected, a first module may be axially moveable with respect to a second module and the guide sleeve may be bendable.

Abstract: The present disclosure provides compounds, pharmaceutically acceptable compositions thereof, and methods of using the same.

Abstract: Disclosed are systems and methods that automatically classify, filter, and reduce large volumes of feedback data as a function of time using artificial intelligence technology. The aggregated feedback data is reduced by representing the feedback data as sets of descriptors corresponding to one or more time periods that are displayed on a graphical user interface. Feedback data packets are parsed by labeling the feedback data packets with a time period identifier. The feedback data packets are processed utilizing neural network technology to classify the feedback data according to one or more subject identifiers that are each associated with a subject vector. A descriptor analysis is used to process the subject vectors and the feedback data packets to generate descriptor sets comprising one or more descriptors as well as weighting data for each descriptor.

Abstract: A system and method for training an artificial intelligence engine for real-time monitoring to eliminate false positives is disclosed. The system includes at least one processor, a communication interface coupled to the processor, and a memory device storing executable code. Executing the executable code causes the processor to receive data from an AI security model, receive data from a false positive database, and correlate both sets of data. The correlated data is used to generate a training dataset and a test dataset used to train a false positive identification model. After evaluating the false positive identification model, an AI engine is applied to user registration. The AI engine includes an AI security model and the false positive identification model. Additionally, a system for evaluating the security of user registration utilizing the false positive identification model is disclosed.

Abstract: Disclosed are systems and methods that automatically classify, filter, and reduce large volumes of feedback data as a function of time using artificial intelligence technology. The aggregated feedback data is reduced by representing the feedback data as sets of descriptors corresponding to one or more time periods that are displayed on a graphical user interface. Feedback data packets are parsed by labeling the feedback data packets with a time period identifier. The feedback data packets are processed utilizing neural network technology to classify the feedback data according to one or more subject identifiers that are each associated with a subject vector. A descriptor analysis is used to process the subject vectors and the feedback data packets to generate descriptor sets comprising one or more descriptors as well as weighting data for each descriptor.

Abstract: Disclosed are systems and methods that automatically classify, filter, and reduce large volumes of feedback data as a function of time using artificial intelligence technology. The aggregated feedback data is reduced by representing the feedback data as sets of descriptors corresponding to one or more time periods that are displayed on a graphical user interface. Feedback data packets are parsed by labeling the feedback data packets with a time period identifier. The feedback data packets are processed utilizing neural network technology to classify the feedback data according to one or more subject identifiers that are each associated with a subject vector. A descriptor analysis is used to process the subject vectors and the feedback data packets to generate descriptor sets comprising one or more descriptors as well as weighting data for each descriptor.

Abstract: Disclosed are systems and methods that automatically classify, segment, and parse content data using artificial intelligence and natural language processing technology, and generate graphical user interfaces that allow end users to dynamically filter content data for display. The systems processes volumes of content data to identify interrogative data, content sources that generated the interrogative data, and subject identifiers relating to the content data. The system generates graphical user interfaces that allow end users to effectively filter the data by choosing between layouts that display one or more of the various categories of data, including the interrogative data, content source identifiers, and/or subject identifiers.

Abstract: A system and method is described for labelling data for trigger identification. The system and method comprising receiving data, transforming the data, extracting content from the data, processing data content through a classification machine learning model to receive a label, and trigger a secondary system based on the label. The system and method may further include maintaining a database of labeled data.