Abstract: Systems and techniques for linguistic learning using automatically cascaded text are described herein. A data model is generated to identify linguistic relationships among respective words and word groups in a source text. The data model is augmented with linguistic properties associated with individual words in the source text. An arrangement of cascaded text is determined based on the linguistic relationships identified in the data model. The arrangement of cascaded text includes horizontal displacement and vertical displacement for the respective words and word groups. Display enhancements to the arrangement of cascaded text are determined wherein the display enhancements are based on user-selected options to show visual aids that identify the linguistic relationships among the respective words and word groups or linguistic properties associated with individual words. The arrangement of cascaded text and the display enhancements are output in a user interface.

Abstract: Systems and methods for improved fluid dispensing process control using a machine learning tool are disclosed. In an example method, successive portions of viscous fluid are dispensed by a dispensing device according to operating parameters to train a machine learning tool to associate defect classifications with images of dispensed portions and/or operating parameters associated with dispensing the dispensed portions. The trained machine learning tool is then used in a closed loop fashion in production to detect and correct for defects associated with the dispensed portions to improve quality and production efficiency.

Abstract: This disclosure relates to implantable neuro stimulation devices with a feedback loop to control an amount of energy delivered into a neural tissue based on a measured evoked neural response. Stimulation electrodes deliver stimulation energy to neural tissue. A microprocessor performs closed-loop control of the stimulation energy based on a feedback signal that is indicative of an evoked neural response. A supervisor is connected to the feedback signal and detects malfunction of the stimulator based on the feedback signal. The supervisor is also connected to the stimulator to provide a status signal to the stimulator and changes the status signal to indicate malfunction upon detecting malfunction based on the feedback signal. The microprocessor adjusts the control of the stimulation energy in response to the status signal from the supervisor indicating malfunction.

Abstract: A system and method for calibrating a computed tomography (CT) scanner including scanning a calibration apparatus with the CT scanner, and determining a first scan edge of a first calibration layer, a second scan edge of a second calibration layer, and a floating point of an opening from the scan. The method also includes determining a first scan dimension and second scan dimension measured in the longitudinal direction from the first scan edge to the floating point, and the second scan edge to the floating point, respectively. The method also includes determining a first scan overhang based on a difference between the first scan dimension and the second scan dimension and comparing the first scan overhang to the calibration overhang. The method also includes determining a first level of uncertainty for the CT scanner based on the comparing.

Abstract: Various examples of approaches for using and implementing cascaded text formatting within electronic publishing and display mediums are described herein. In an example, a method for analyzing and re-formatting a stream of text, includes: obtaining a stream of human-readable text in a natural language processing (NLP) parser to identify parts-of-speech and key phrases in a proper sentence; tagging the identified parts-of-speech according to the respective parts and key phrases; generating a text cascade arrangement for a display of the proper sentence by applying predefined rules to the part-of-speech and key phrases, where such a display of the proper sentence provides breaks and cascading, including indentations, according to the pre-defined rules; and outputting an electronic display of the proper sentence which includes the text cascade arrangement.

Abstract: A dispensing system for dispensing a fluid material onto a substrate includes a jet dispenser configured to receive the fluid material therein, the jet dispenser having a jet cartridge operably connected thereto, the jet cartridge being configured to receive the fluid material from the jet dispenser and having a nozzle through which the fluid material is discharged towards the substrate; a camera configured to acquire a digital image of the jet dispenser; and a controller having a memory and a processor. The processor is configured to: identify, on the digital image of the jet dispenser, an identified pattern of features present on the jet dispenser; compare the identified pattern with a stored pattern, the stored pattern being stored in the memory; calculate the similarity between the identified pattern and the stored pattern; and provide an identifier value associated with the stored pattern.

Abstract: Systems and techniques for acoustic-based linguistically-driven automated text formatting of acoustic input are described herein. An audio sample may be obtained that includes multiple words from human speech. The audio sample may be processed to determine a linguistic relationship of the words from the acoustic properties of the words. Based on the determined linguistic relationships, data such as an acoustical language model is generated to enable an arrangement of the words into a cascade format (e.g., a cascade format that establishes horizontal displacement and vertical displacement among the multiple words). A cascaded text output may be provided from the acoustical language model or other types of related data.

Abstract: A medical device comprises a metal case having a hermetic seal; one or more Input/Output (I/O) conductors, wherein the I/O conductors pass through the hermetic seal such that a first end of the I/O conductors reside on a non-hermetic side of the hermetic seal and a second end of the I/O conductors reside on a hermetic side of the hermetic seal within the metal case; a ceramic substrate, wherein the one or more I/O conductors pass through the ceramic substrate and the ceramic substrate has a non-hermetic surface on a non-hermetic side of the hermetic seal; and wherein the non-hermetic surface of the ceramic substrate is a laser etched surface.

Abstract: Systems and techniques for linguistically-driven automated text formatting are described herein. Data representing the linguistic structure of input text may be received from Natural Language Processing (NLP) Services, including but not limited to constituents, dependencies, and coreference relationships. A text model of the input text may be built using the linguistic components and relationships. Cascade rules may be applied to the text model to generate a cascaded text data structure. Cascaded data may be displayed on a range of media, including a phone, tablet, laptop, monitor, VR/AR devices. Cascaded data may be presented in dual screen formats to promote more accurate and efficient reading comprehension, greater ease in teaching native and foreign language grammatical structures, and tools for remediation of reading-related disabilities.

Abstract: Disclosed herein is a data science platform that is built with a specific focus on monitoring and analyzing the operation of industrial assets, such as trucking assets, rail assets, construction assets, mining assets, wind assets, thermal assets, oil-and-gas assets, and manufacturing assets, among other possibilities. The disclosed data science platform is configured to carry out operations including (i) ingesting asset-related data from various different data sources and storing it for downstream use, (ii) transforming the ingested asset-related data into a desired formatting structure and then storing it for downstream use, (iii) evaluating the asset-related data to derive insights about an asset's operation that may be of interest to a platform user, which may involve data science models that have been specifically designed to analyze asset-related data in order to gain a deeper understanding of an asset's operation, and (iv) presenting derived insights and other asset-related data to platform users.

Abstract: Systems and techniques for linguistically-driven automated text formatting are described herein. Data representing the linguistic structure of input text may be received from Natural Language Processing (NLP) Services, including but not limited to constituents, dependencies, and coreference relationships. A text model of the input text may be built using the linguistic components and relationships. Cascade rules may be applied to the text model to generate a cascaded text data structure. Cascaded data may be displayed on a range of media, including a phone, tablet, laptop, monitor, VR/AR devices. Cascaded data may be presented in dual screen formats to promote more accurate and efficient reading comprehension, greater ease in teaching native and foreign language grammatical structures, and tools for remediation of reading-related disabilities.

Abstract: The Multidimensional Machine Learning Data and User Interface Segment Tagging Engine Apparatuses, Methods and Systems (“MLUI”) transforms ambient condition data, sales data, user interface selections, cognitive intelligence question input inputs via MLUI components into project projections, campaigns, user interface visualizations, cognitive intelligence question output outputs. An update to a survey data file is detected. The updated survey data is stored in a SQL database configured to utilize a composite index of the updated survey data that optimizes database query time. A set of affected entity segment identifiers is determined. A set of affected category identifiers is determined. A set of affected cognitive intelligence (CI) datapoint identifiers is determined as CI datapoint identifiers associated with each combination of an affected entity segment identifier and an affected category identifier.

Abstract: The Multidimensional Machine Learning Data and User Interface Segment Tagging Engine Apparatuses, Methods and Systems (“MLUI”) transforms ambient condition data, sales data, user interface selections, cognitive intelligence question input inputs via MLUI components into project projections, campaigns, user interface visualizations, cognitive intelligence question output outputs. A category identifier selection is obtained via a category selection interaction interface mechanism. Entity segment identifier selections are obtained via entity segment selection interaction interface mechanisms. A set of visualization cognitive intelligence (CI) datapoint identifiers is determined as CI datapoint identifiers associated with each combination of a selected entity segment identifier and the selected category identifier.

Abstract: The Multidimensional Machine Learning Data and User Interface Segment Tagging Engine Apparatuses, Methods and Systems (“MLUI”) transforms ambient condition data, sales data, user interface selections, cognitive intelligence question input inputs via MLUI components into project projections, campaigns, user interface visualizations, cognitive intelligence question output outputs. A cognitive intelligence (CI) datapoint identifier cache datastructure is generated, the CI datapoint identifier cache datastructure configured to comprise a category identifier and an entity segment identifier. A CI datapoint value cache datastructure is generated, the CI datapoint value cache datastructure configured to comprise a set of module datastructures, each module datastructure corresponding to a module identifier associated with the category identifier, each module datastructure comprising a set of metric datastructures, each metric datastructure corresponding to a set of calculated metrics.

Abstract: Various examples of approaches for using and implementing cascaded text formatting within electronic publishing and display mediums are described herein. In an example, a method for analyzing and re-formatting a stream of text, includes: obtaining a stream of human-readable text in a natural language processing (NLP) parser to identify parts-of-speech and key phrases in a proper sentence; tagging the identified parts-of-speech according to the respective parts and key phrases; generating a text cascade arrangement for a display of the proper sentence by applying predefined rules to the part-of-speech and key phrases, where such a display of the proper sentence provides breaks and cascading, including indentations, according to the pre-defined rules; and outputting an electronic display of the proper sentence which includes the text cascade arrangement.

Abstract: Systems and methods for improved fluid dispensing process control using a machine learning tool are disclosed. In an example method, successive portions of viscous fluid are dispensed by a dispensing device according to operating parameters to train a machine learning tool to associate defect classifications with images of dispensed portions and/or operating parameters associated with dispensing the dispensed portions. The trained machine learning tool is then used in a closed loop fashion in production to detect and correct for defects associated with the dispensed portions to improve quality and production efficiency.

Abstract: Systems and techniques for linguistically-driven automated text formatting are described herein. Data representing the linguistic structure of input text may be received from Natural Language Processing (NLP) Services, including but not limited to constituents, dependencies, and coreference relationships. A text model of the input text may be built using the linguistic components and relationships. Cascade rules may be applied to the text model to generate a cascaded text data structure. Cascaded data may be displayed on a range of media, including a phone, tablet, laptop, monitor, VR/AR devices. Cascaded data may be presented in dual screen formats to promote more accurate and efficient reading comprehension, greater ease in teaching native and foreign language grammatical structures, and tools for remediation of reading-related disabilities.

Abstract: Aspects of the subject disclosure may include, for example, a system that includes a processing system including at least one processor and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving a unique identifying number for an entity, a vector associated with the entity, and a timestamp from a requestor, generating a key using the unique identifying number, the vector, and the timestamp, and sending the key to the requestor, wherein the requestor uses the key to store information associated with the entity. Other embodiments are disclosed.