Abstract: Biological strains, compositions, and methods of using the strains and compositions for reducing overall insect damage.

Abstract: The present invention provides compositions comprising compounds having formulas (I), (II) or and additionally provides methods for the use thereof in the treatment of various disorders including neurological disorders, cancer, diabetes, and obesity, wherein R1-R7, X, A, and Q in (I), R1-R15 in (II) and R1-R15 in (III) are as defined herein. In certain embodiments, methods for the treatment of various disorders including pain and cancer comprise topically, locally or systemically (e.g., IV, IP or orally) administering to a subject in need thereof a therapeutically effective amount of a compound of formulas (I), (II) or (III).

Abstract: A method, computer program product, and computer system for public speaking guidance is provided. A processor retrieves speaker data regarding a speech made by a user. A processor separates the speaker data into one or more speaker modalities. A processor extracts one or more speaker features from the speaker data for the one or more speaker modalities. A processor generates a performance classification based on the one or more speaker features. A processor sends to the user guidance regarding the speech based on the performance classification.

Abstract: A computer-implemented method according to one embodiment includes running an initial network on a plurality of images to detect actors pictured therein and body joints of the detected actors. The method further includes running fully-connected networks in parallel, one fully-connected network for each of the detected actors, to reconstruct complete three-dimensional poses of the actors. Sequential model fitting is performed on the plurality of images. The sequential model fitting is based on results of running the initial network and the fully-connected networks. The method further includes determining, based on the sequential model fitting, a locational position for a camera in which the camera has a view of a possible point of collision of two or more of the actors. The camera is instructed to be positioned in the locational position.

Abstract: A method for operating an access node includes sending a configuration of one or more first channel state information reference signal (CSI-RS) resources and a configuration of one or more sounding reference signal (SRS) resources, generating first control information including an identifier of a SRS resource set that includes the one or more SRS resources precoded by one or more precoders, generating second control information including an identifier of the one or more first CSI-RS resources, wherein the one or more first CSI-RS resources are associated with the identified SRS resource set, wherein the one or more first CSI-RS resources convey a downlink reference signal (RS) used for making measurements, and wherein the one or more precoders are determined in accordance with measurements of the downlink RS, sending the first control information and the second control information, and sending the downlink RS.

Abstract: A computer-implemented method of voice-to-text tagging for transcription of a human voice signal by one of an automatic speech recognition system, or a natural conversation, includes generating a speech-to-text verbal transcript of the verbal vocalizations of an audio signal at a verbal timestamp of the audio signal. A voice-to-text non-verbal transcript of the one or more non-verbal vocalizations of the audio signal is generated at a non-verbal timestamp of the audio signal. The non-verbal transcript and the verbal transcript are combined to generate an enhanced transcript.

Abstract: Techniques for personalizing an AI automated conversational system are provided. In one aspect, a method for personalizing an automated conversational system includes: making predictions of a familiarity of a user with concepts needed to understand a standard output utterance based on the familiarity of an aggregate of users and a background knowledge model of the concepts and related concepts, wherein the standard output utterance assumes that the concepts are known; and giving, by the automated conversational system, an output utterance that is tailored to the user given the predictions. For instance, the automated conversational system can give the standard output utterance to the user when it is predicted that the user is familiar with the concepts, or a nonstandard output utterance when it is it is predicted that the user is unfamiliar with at least one of the concepts.

Abstract: A tool for providing dynamic context-based presentation adjustments across one or more computer devices. The tool receives a presentation from at least one of a plurality of user devices. The tool collects real-time contextual data associated with the presentation from at least one of the plurality of user devices. The tool analyzes the real-time contextual data utilizing a training model. The tool determines one or more adjustment actions based, at least in part, on the analysis of the real-time contextual data. The tool modifies the presentation in real-time using the one or more adjustment actions.

Abstract: A method, computer system, and a computer program product for contextual transformation is provided. The present invention may include providing a source application for transformation. The present invention may include transforming at least one selection within the source application. The present invention may include communicating the at least one transformed selection to a target application.

Abstract: A computer-implemented method, according to one embodiment, is used to creating customized templates and template recommendations. The computer-implemented method includes: extracting text content from user information which corresponds to a user, and using the text content extracted from the user information to generate feature vectors. The feature vectors are further used to form one or more clusters of existing user editions. For each of the one or more formed clusters, a tree structure is generated for each user edition in the cluster. Moreover, the tree structures in the cluster are combined into a merged tree structure. A customized template is generated for each of the one or more formed clusters using the respective merged tree structure, and at least one of the customized templates is recommended to the user based on the user information.

Abstract: A computer-implemented method of voice-to-text tagging for transcription of a human voice signal by one of an automatic speech recognition system, or a natural conversation, includes generating a speech-to-text verbal transcript of the verbal vocalizations of an audio signal at a verbal timestamp of the audio signal. A voice-to-text non-verbal transcript of the one or more non-verbal vocalizations of the audio signal is generated at a non-verbal timestamp of the audio signal. The non-verbal transcript and the verbal transcript are combined to generate an enhanced transcript.

Abstract: One embodiment provides a method including receiving authoring conversational training data. A machine learning based conversational agent is trained with the conversational training data. The training includes: creating and storing example transcripts of user utterances, creating and storing example transcripts of agent utterances, sequencing utterance transcripts using the example transcripts of user utterances and the example transcripts of agent utterances, forming a corpus from the sequenced utterance transcripts, marking speech patterns that represent social actions from tagging the sequenced utterance transcripts, and forming a patterned corpus from the marked speech patterns.

Abstract: A computer-implemented method, according to one embodiment, is used to creating customized templates and template recommendations. The computer-implemented method includes: extracting text content from user information which corresponds to a user, and using the text content extracted from the user information to generate feature vectors. The feature vectors are further used to form one or more clusters of existing user editions. For each of the one or more formed clusters, a tree structure is generated for each user edition in the cluster. Moreover, the tree structures in the cluster are combined into a merged tree structure. A customized template is generated for each of the one or more formed clusters using the respective merged tree structure, and at least one of the customized templates is recommended to the user based on the user information.

Abstract: One embodiment provides a method including receiving authoring conversational training data. A machine learning based conversational agent is trained with the conversational training data. The training includes: creating and storing example transcripts of user utterances, creating and storing example transcripts of agent utterances, sequencing utterance transcripts using the example transcripts of user utterances and the example transcripts of agent utterances, forming a corpus from the sequenced utterance transcripts, marking speech patterns that represent social actions from tagging the sequenced utterance transcripts, and forming a patterned corpus from the marked speech patterns.

Abstract: Style sheets for resources are generated during runtime. Style sheets may be generated using current values for attributes of a resource. A new style sheet may be generated, at runtime, after a request for the resource has been received. The resource is modified to reference the new style sheet and the modified resource is transmitted to the client device. The new style sheet is transmitted to the client device in response to another request, from the client device, for the new style sheet identified in the modified resource.

Abstract: A silicon-photonic integrated circuit comprising a direct-bandgap-semiconductor-based active optical device that is epitaxially grown on an indirect-bandgap SOI substrate (108) is disclosed. The structure of the active optical device includes an active region (120) having quantum dots (206) made of InGaAs that are embedded in one or more confinement layers (n-InP, p-InP), where the bandgap of the confinement layers is higher than that of the quantum dots. Further the confinement-layer material is preferably lattice matched to the quantum dot material in order to suppress associated crystalline defects within the material are located away from the center of its bandgap such that they suppress recombination-enhanced defect-reaction-driven degradation of the active optical device.

Abstract: A battery pack management system adjusts the relative state-of-charge of respective battery blocks in a battery pack to equalize (i.e., align, balance or otherwise make similar) the peak battery block voltages (i.e., maximum or “upper peak” battery block voltages when the battery pack is being charged and/or minimum or “lower peak” battery block voltages when the battery is being discharged). Upon detecting an anomalous battery block that exhibits outlier upper and lower peak voltages, the battery pack management system adjusts the relative state of charge of respective battery blocks to center their respective upper and lower peak voltages between operating limits, thus maximizing the operating margin of the battery pack as a whole.

Abstract: A light emitting device includes a unipolar light emitter structured from materials arranged to provide light emission via intersubband transitions of a single type of carrier in either of the conduction band or valence band integrated with a foreign surface.

Abstract: Style sheets for resources are generated during runtime. Style sheets may be generated using current values for attributes of a resource. A new style sheet may be generated, at runtime, after a request for the resource has been received. The resource is modified to reference the new style sheet and the modified resource is transmitted to the client device. The new style sheet is transmitted to the client device in response to another request, from the client device, for the new style sheet identified in the modified resource.

Abstract: Style sheets for resources are generated during runtime. Style sheets may be generated using current values for attributes of a resource. A new style sheet may be generated, at runtime, after a request for the resource has been received. The resource is modified to reference the new style sheet and the modified resource is transmitted to the client device. The new style sheet is transmitted to the client device in response to another request, from the client device, for the new style sheet identified in the modified resource.