Abstract: Disclosed herein are computer-implemented devices, systems, and methods for sanitizing an audio recording of a conversation. In an example, such a computer-implemented method can include selecting a transcript of the conversation. The transcript can include a plurality of redaction markers within the audio recording. The plurality of redaction markers can be identifiable via one or more redaction marker start and/or end points. The computer-implemented method can include identifying a first redaction marker and a second redaction marker of the one or more redaction markers. The first redaction marker can be different from the second redaction marker. In this regard, a redaction segment is formable between the first and second redaction markers. The computer-implemented method can include selecting the audio recording. The computer-implemented method can include redacting the audio recording between the first redaction marker and the second redaction marker.

Abstract: Disclosed herein are computer-implemented methods for intelligent phrase generation. Example methods include acquiring a bulk data input that includes one or more seed phrases that are requested for derivation, inputting the bulk data input into a model, and returning an arrangement result to a user. The model is configured to determine one or more derivative phrases from each of the seed phrases in the bulk data input, each of the one or more derivative phrases corresponding to a respective seed phrase. The model is configured to determine one or more arrangements with which to arrange each of the derivative phrases in the one or more derivative phrases. The model is configured to determine a characteristic of the respective seed phrase, the one or more arrangement corresponding to the characteristic of the respective seed phrase.

Abstract: A cutting tool as a hand-held knife having a multi-grip handle with an end grip surface and other grip surfaces. The cutting tool includes a connecting region having an end cutting edge, where the other grip surfaces are positioned between the end grip surface and the end cutting edge. The cutting tool includes a blade connected to the multi-grip handle via the connecting region, and the blade has a cutting edge.

Abstract: Computer-implemented methods intelligently determine a stress level of an agent at a contact center. Such computer-implemented methods include identifying one or more escalation factors that are indicative of an escalation of stress. The computer-implemented methods include aggregating the one or more escalation factors that have been identified into a total stress level. The computer-implemented methods include presenting one or more stress reduction suggestions for reducing the total stress level.

Abstract: Systems and methods are provided for determining calls and contacts associated with calls that are contextually similar based on content of the calls. Data associated with a call include one or more utterances made by speakers and a set of values indicating relevance between content of the call and topic categories of the call. The disclosed technology generates a topic vector associated with a call and/or respective speakers of the call. The topic vector includes a multi-dimensional vector where each dimension corresponds to a topic category. The disclosed technology determines calls that are contextually similar by comparing angular distances between topic vectors. A search query receiver receives a search query that queries contacts and calls that are contextually similar to a given call and/or a speaker. The disclosed technology identifies calls with topic vectors that are within a predetermined angular distance.

Abstract: Aspects of the present disclosure relate to systems and methods for detecting emerging events. In various examples, a method for detecting emerging events includes obtaining communication data associated with communication between multiple sources, segmenting communication data into multiple segments, determining whether a data segment belongs to a familiar topic or none, and generating a notification when a familiar topic is mentioned for more or less than a mention prediction. Additionally, or alternatively, a notification may be generated when an unfamiliar topic emerges from a set of unfamiliar data segments if an associated segment count exceeds a critical mass threshold. To determine whether a data segment belongs to a familiar topic, the data segment may be transformed into a feature vector and mapped onto a feature space, where a distance-based similarity score may be determined.

Abstract: A system, apparatus, and method for encoding and decoding a video image having a plurality of frames is disclosed. Encoding and decoding the video image can include selecting, for a current block, a prediction mode from a plurality of prediction modes; identifying, for the current block, a quantization value; selecting, for the current block, a probability distribution from a plurality of probability distributions based on the identified quantization value using a processor; and entropy encoding the selected prediction mode using the selected probability distribution.

Abstract: A process for separating a Cs or C6 alkanediol from a crude product stream comprising the Cs or C6 alkanediol, light contaminants and heavy contaminants comprising one or more of: a C 10 or C 12 linear ester, or a C 10 or C 12 cyclic acetal or ketal is disclosed. The process comprises feeding the crude product stream to a separation system comprising a first distillation zone, to which the crude product stream is fed and from which the heavy contaminants are removed in a heavies stream taken as a bottom stream, and a second distillation zone, in which the Cs or C6 alkanediol is separated from a reaction product, comprising one or more of: a Cs or C6 cyclic ester, or a Cs or C6 aldehyde, formed in the first distillation zone and from which the Cs or C6 alkanediol is withdrawn in a refined product stream.

Abstract: A system for out-patient treatment with immunotherapy that activates T cells of a patient to fight cancer is provided that may include an infusion pump; a patient wearable device configured to acquire sensor data related to detection of cytokines released by the patient in response to the patient receiving the immunotherapy that activates T cells; and remote wireless communication with a healthcare provider based on the acquired sensor data.

Abstract: Disclosed herein are computer-implemented devices, systems, and methods for sanitizing an audio recording of a conversation. In an example, such a computer-implemented method can include selecting a transcript of the conversation. The transcript can include a plurality of redaction markers within the audio recording. The plurality of redaction markers can be identifiable via one or more redaction marker start and/or end points. The computer-implemented method can include identifying a first redaction marker and a second redaction marker of the one or more redaction markers. The first redaction marker can be different from the second redaction marker. In this regard, a redaction segment is formable between the first and second redaction markers. The computer-implemented method can include selecting the audio recording. The computer-implemented method can include redacting the audio recording between the first redaction marker and the second redaction marker.

Abstract: A system is disclosed which includes a sensor clip, having at least one sensor, and a mobile device. The mobile device wirelessly receives sensor data from the sensor clip sensor. Additionally disclosed herein is a system which includes a sensor clip, having at least one sensor, a mobile device, and a server. The mobile device wirelessly receives sensor data from the sensor clip sensor, and the server wirelessly receives sensor data from the mobile device.

Abstract: The use of natural language to query a database (e.g., storing performance data for an industrial system) is hindered by the use of non-semantic names for database elements in databases. While these non-semantic names could be modified, this requires modifying the databases, as well as modifying the applications that utilize the databases. Accordingly, embodiments disclosed herein train and apply a text-to-SQL model that translates natural-language queries into Structured Query Language (SQL) queries that utilize semantic names for database elements. These SQL queries utilize database views that map the native names for database elements to their semantic names. In addition, domain-specific pre-processing may be performed on the inputs to the text-to-SQL model. Collectively, this improves the accuracy of the text-to-SQL translation, without having to modify the databases or applications, while also enabling voice-based natural-language queries.

Abstract: Aspects of the present disclosure relate to systems and methods for detecting emerging events. In various examples, a method for detecting emerging events includes obtaining communication data associated with communication between multiple sources, segmenting communication data into multiple segments, determining whether a data segment belongs to a familiar topic or none, and generating a notification when a familiar topic is mentioned for more or less than a mention prediction. Additionally, or alternatively, a notification may be generated when an unfamiliar topic emerges from a set of unfamiliar data segments if an associated segment count exceeds a critical mass threshold. To determine whether a data segment belongs to a familiar topic, the data segment may be transformed into a feature vector and mapped onto a feature space, where a distance-based similarity score may be determined.

Abstract: Disclosed herein are computer-implemented devices, systems, and methods of sanitizing a transcript. In an example, such a method includes selecting a transcript to be sanitized, identifying potential redactions to be made in the transcript, and redacting the transcript at the potential redactions to sanitize the transcript. The potential redactions are identifiable via a multi-pass process that includes: generating initial redactions to be made based on surrounding context within the transcript; generating matching redactions to be made based on the initial redactions, and generating character redactions to be made based on at least one of the initial redactions and the matching redactions.

Abstract: A single acting actuator for an aircraft landing gear assembly is disclosed having a piston mounted in a cavity and moveable relative to a housing between a retracted position and an extended position, the piston dividing the cavity into first and second pressure chambers. At least one of the pressure chambers is associated with first and second outlets, with the actuator being arranged such that, in respect of the relative movement in which the pressure chamber is the decreasing volume pressure chamber, in a first stage of the relative movement the first and second outlets are open thereby allowing actuator fluid to flow out of the pressure chamber through the first and second outlets and in a second stage of the relative movement the second outlet is open but the first outlet is closed, thereby acting to slow the relative movement of the piston with respect to the housing.

Abstract: A process for refining a crude ethylene glycol stream comprising monoethylene glycol and at least one acid contaminant is disclosed. The process comprises reacting the acid contaminant with the monoethylene glycol in at least one reaction zone to form an ester and removing the ester in a separation step.

Abstract: A system, apparatus, and method for encoding and decoding a video image having a plurality of frames is disclosed. Encoding and decoding the video image can include selecting, for a current block, a prediction mode from a plurality of prediction modes; identifying, for the current block, a quantization value; selecting, for the current block, a probability distribution from a plurality of probability distributions based on the identified quantization value using a processor; and entropy encoding the selected prediction mode using the selected probability distribution.

Abstract: Aspects of the present disclosure relate to systems and methods for detecting emerging events. In various examples, a method for detecting emerging events includes obtaining communication data associated with communication between multiple sources, segmenting communication data into multiple segments, determining whether a data segment belongs to a familiar topic or none, and generating a notification when a familiar topic is mentioned for more or less than a mention prediction. Additionally, or alternatively, a notification may be generated when an unfamiliar topic emerges from a set of unfamiliar data segments if an associated segment count exceeds a critical mass threshold. To determine whether a data segment belongs to a familiar topic, the data segment may be transformed into a feature vector and mapped onto a feature space, where a distance-based similarity score may be determined.

Abstract: Systems and methods are provided for generating quality scores associated with a contact (e.g., a telephonic call including an agent) and with agents. In particular, the disclosed technology determines types of frames of content of the contact into a speech and/or a noise, the noise further classified into a standard noise and a non-standard noise. A frame type determiner determines a type of a frame based on a waveform analysis and/or use of speech and noise models that are trained through machine learning. The standard noise includes noise that is expected and consistent across contacts and agents (e.g., a hold music). The non-standard noise includes a noise that is unexpected in occasion and audio sources (e.g., a barking dog, a siren from street, and the like). The disclosed technology enables assessing contacts and agents based on issues associated with remote working environment that vary among agents.

Abstract: The present disclosure relates to generating additional insight data for search results. Individual search results may be obtained and used to generate a parse tree for the search result data. A dependency graph may then be generated using the parse tree, where the dependency graph includes a root node that corresponds to a query parameter. A scoring or weighting algorithm is applied to the dependency graph to generate and aggregate scores for nodes in the dependency graph relative to the root node. The generated scores or weights are used to generate insight data for the search results.