Abstract: A luminaire includes a first light source and a second light source, the first and second light source operatively configured to provide amounts of light independently controllable during operation; and an optical system having an input aperture system and an output aperture system. The output aperture system is displaced by a predetermined distance along a forward direction from the input aperture system. The optical system is operatively coupled with the first and second light source and configured to direct light received at the input aperture system to the output aperture system. The output aperture system is configured to output light from the first light source in first directions and light from the second light source in second directions at least in part different from the first directions.

Abstract: A device includes a LED die having a peak emission at a blue or shorter wavelength, a LED die having a peak emission at a red, orange, yellow, green, or cyan wavelength, and a homogenous light conversion material positioned to receive light emitted from the LED dies. The light conversion material including: (i) a first phosphor compound having a peak emission at a green wavelength; (ii) a second phosphor compound having a peak emission at an orange wavelength; and (iii) a third phosphor compound having a peak emission at a red, orange, yellow, green, or cyan wavelength. The device is a packaged LED device and a relative concentration of the phosphor compounds and a relative luminosity of the LED dies are selected so the device emits white light satisfying a preference P1 and a fidelity F3 according to a TM-30 standard for color rendering.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for filtering predictive text surfacing candidates are provided. A predictive text filtering model may be maintained. The predictive text filtering model may comprise a plurality of terms that are associated in the predictive text filtering model with a precarious classification, and a range of a number of words for filtering cooccurrences of precarious and other precarious or blocklist terms from the plurality of terms. A text input may be processed with a predictive text model. A plurality of surfacing candidates may be determined based on the processing of the text input with the predictive text model. The predictive text filtering model may be applied to a surfacing candidate of the plurality of candidates. The surfacing candidate may be filtered from further processing. At least one non-filtered surfacing candidate may be displayed.

Abstract: Detection of microplastics is accomplished using a combination of techniques. A position-detection technique such as crossed-polarization detection, autofluorescence detection, or photothermal infrared imaging is used to determine the locations of microplastics in a sample. Infrared absorption can be detected at those locations to characterize the microplastics. In this way the microplastic content can be located and characterized more quickly and accurately than using conventional techniques.

Abstract: A radio network may include: a distributed unit (DU); a fronthaul multiplexer coupled to the distributed unit; a plurality of RUs, each one of the RUs being in communication with the DU through the fronthaul multiplexer; and a control loop (either open or closed) configured to detect performance parameters of the plurality of RUs, to train an artificial intelligence (AI) or machine learning (ML) application using the performance parameters, and wherein the AI or ML application is configured to, once trained, receive either the performance parameters or analysis of the performance parameters and to adjust a multiplexing functionality of the fronthaul multiplexer during use of the radio network and in near real time based on either the performance parameters or the analysis of the performance parameters.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for determining a language of a text string are presented. A language detection model may be maintained. The language detection model may comprise identities and weights for initial and final consonants, identities and weights for prefixes and suffixes, and identities and weights for vowel sequences, where each identity is derived from a training corpus. The weights may correspond to a frequency of a text unit in the corpus. A text string may be received and a match score between the text string and the language of the language detection model may be determined. The match score may be based on initial and final consonant scores, prefix and suffix scores, and/or vowel sequence scores for each word in the text string. If the match score meets a threshold value a follow-up action associated with the language may be performed.

Abstract: A rotor blade assembly includes a rotor blade defining a pressure side and a suction side extending between a leading edge and a trailing edge. Further, the rotor blade assembly includes at least one structural feature secured within the rotor blade and spaced apart from the trailing edge to define a void between the pressure side, the suction side, and the trailing edge. Moreover, the rotor blade assembly includes an adhesive filling the void between the pressure side, the suction side, and the trailing edge to provide an adhesive connection between the pressure side, the suction side, the trailing edge, and the structural feature(s). In addition, the adhesive contacts the structural feature(s) at an interface and defines a fillet profile.

Abstract: The disclosed technologies address various technical and user experience problems by augmenting the functionality provided by virtual on-screen trackpads without requiring users to switch between modes. In this way, users can access extended functionality without interfering with expected traditional trackpad functionality (e.g. moving a cursor, clicking, and scrolling). In particular, technologies are disclosed for modeless digital pen input to a virtual trackpad, modeless gestures for summoning user interfaces, modeless gestures utilizing position relative to adjacent user interfaces, and modeless cursor control and interaction with virtual touch targets.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for determining a language of a text string are presented. A language detection model may be maintained. The language detection model may comprise identities and weights for initial and final consonants, identities and weights for prefixes and suffixes, and identities and weights for vowel sequences, where each identity is derived from a training corpus. The weights may correspond to a frequency of a text unit in the corpus. A text string may be received and a match score between the text string and the language of the language detection model may be determined. The match score may be based on initial and final consonant scores, prefix and suffix scores, and/or vowel sequence scores for each word in the text string. If the match score meets a threshold value a follow-up action associated with the language may be performed.

Abstract: The disclosed technologies address various technical problems, including improving human-computer interaction, by augmenting the functionality provided by user input devices using a digital glove. For example, a digital glove can be utilized to provide pressure sensitivity for non-pressure sensitive touchscreen devices, attribute input made with a digital pen to a user wearing the digital glove, augment the functionality provided by mice and other types of handheld user input devices, augment the functionality provided gaze tracking systems, improve camera-based motion tracking systems, and to augment the functionality provided by speech recognition systems.

Abstract: The disclosed technologies address various technical problems, including improving human-computer interaction, by augmenting the functionality provided by user input devices using a digital glove. For example, a digital glove can be utilized to provide pressure sensitivity for non-pressure sensitive touchscreen devices, attribute input made with a digital pen to a user wearing the digital glove, augment the functionality provided by mice and other types of handheld user input devices, augment the functionality provided gaze tracking systems, improve camera-based motion tracking systems, and to augment the functionality provided by speech recognition systems.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for determining a language of a text string are presented. A language detection model may be maintained. The language detection model may comprise identities and weights for initial and final consonants, identities and weights for prefixes and suffixes, and identities and weights for vowel sequences, where each identity is derived from a training corpus. The weights may correspond to a frequency of a text unit in the corpus. A text string may be received and a match score between the text string and the language of the language detection model may be determined. The match score may be based on initial and final consonant scores, prefix and suffix scores, and/or vowel sequence scores for each word in the text string. If the match score meets a threshold value a follow-up action associated with the language may be performed.

Abstract: One or more tape cartridge restraint brackets may be generated. At least one tape cartridge restraint bracket may be positioned in one or more deep slots in a rear portion of a tape library.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for filtering predictive text surfacing candidates are provided. A predictive text filtering model may be maintained. The predictive text filtering model may comprise a plurality of terms that are associated in the predictive text filtering model with a precarious classification, and a range of a number of words for filtering cooccurrences of precarious and other precarious or blocklist terms from the plurality of terms. A text input may be processed with a predictive text model. A plurality of surfacing candidates may be determined based on the processing of the text input with the predictive text model. The predictive text filtering model may be applied to a surfacing candidate of the plurality of candidates. The surfacing candidate may be filtered from further processing. At least one non-filtered surfacing candidate may be displayed.

Abstract: The disclosed technologies address various technical and user experience problems by augmenting the functionality provided by virtual on-screen trackpads without requiring users to switch between modes. In this way, users can access extended functionality without interfering with expected traditional trackpad functionality (e.g. moving a cursor, clicking, and scrolling). In particular, technologies are disclosed for modeless digital pen input to a virtual trackpad, modeless gestures for summoning user interfaces, modeless gestures utilizing position relative to adjacent user interfaces, and modeless cursor control and interaction with virtual touch targets.

Abstract: The disclosed technologies address various technical problems, including improving human-computer interaction, by augmenting the functionality provided by user input devices using a digital glove. For example, a digital glove can be utilized to provide pressure sensitivity for non-pressure sensitive touchscreen devices, attribute input made with a digital pen to a user wearing the digital glove, augment the functionality provided by mice and other types of handheld user input devices, augment the functionality provided gaze tracking systems, improve camera-based motion tracking systems, and to augment the functionality provided by speech recognition systems.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for determining a language of a text string are presented. A language detection model may be maintained. The language detection model may comprise identities and weights for initial and final consonants, identities and weights for prefixes and suffixes, and identities and weights for vowel sequences, where each identity is derived from a training corpus. The weights may correspond to a frequency of a text unit in the corpus. A text string may be received and a match score between the text string and the language of the language detection model may be determined. The match score may be based on initial and final consonant scores, prefix and suffix scores, and/or vowel sequence scores for each word in the text string. If the match score meets a threshold value a follow-up action associated with the language may be performed.

Abstract: A speech processing system configured to convey linked content to a user in a voice user interface (VUI) environment is described. The system may create output audio data that includes an audible indicator (e.g., a beep) that indicates to a user linked content. An audible indicator may be located at the beginning and/or end of linked content in the output audio data. The system may also output non-linked content in a first voice while outputting linked content in a second voice. The system may further overlay audio atop the linked portion of the output audio data, with the overlaid audio indicating the linked content to the user. A user may invoke linked content in output audio by speaking the linked content, or a portion thereof, back to the system. The system may then output the linked, additional content to the user.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for determining a language of a text string are presented. A language detection model may be maintained. The language detection model may comprise identities and weights for initial and final consonants, identities and weights for prefixes and suffixes, and identities and weights for vowel sequences, where each identity is derived from a training corpus. The weights may correspond to a frequency of a text unit in the corpus. A text string may be received and a match score between the text string and the language of the language detection model may be determined. The match score may be based on initial and final consonant scores, prefix and suffix scores, and/or vowel sequence scores for each word in the text string. If the match score meets a threshold value a follow-up action associated with the language may be performed.

Abstract: The disclosed technologies address various technical and user experience problems by augmenting the functionality provided by virtual on-screen trackpads without requiring users to switch between modes. In this way, users can access extended functionality without interfering with expected traditional trackpad functionality (e.g. moving a cursor, clicking, and scrolling). In particular, technologies are disclosed for modeless digital pen input to a virtual trackpad, modeless gestures for summoning user interfaces, modeless gestures utilizing position relative to adjacent user interfaces, and modeless cursor control and interaction with virtual touch targets.