Abstract: A system and method for integrating audio data collected, such as audio data and analytical data, to perform behavioral analysis on the audio data, using an application of acoustic signal processing and machine learning algorithms, by converting the audio data to text data and performing behavioral analysis on the text data. The behavioral analysis data from the audio application of acoustic signal processing is combined with machine learning algorithms and speech to text data to provide a call agent with feedback to assist in the next best action or insight into customer behaviors.

Abstract: A system and method for integrating audio data collected, such as audio data and analytical data, to perform behavioral analysis on the audio data, using an application of acoustic signal processing and machine learning algorithms, by converting the audio data to text data and performing behavioral analysis on the text data. The behavioral analysis data from the audio application of acoustic signal processing is combined with machine learning algorithms and speech to text data to provide a call agent with feedback to assist in the next best action or insight into customer behaviors.

Abstract: A system and method for integrating audio data collected, such as audio data and analytical data, to perform behavioral analysis on the audio data, using an application of acoustic signal processing and machine learning algorithms, by converting the audio data to text data and performing behavioral analysis on the text data. The behavioral analysis data from the audio application of acoustic signal processing is combined with machine learning algorithms and speech to text data to provide a call agent with feedback to assist in the next best action or insight into customer behaviors.

Abstract: Techniques for monitoring and improving emotional well-being of an employee are described. Stream of audio data corresponding to a call between an employee and a customer may be received. One or more acoustic features and/or audio feature data may be generated from the audio data. Word embedding data corresponding to the audio data may be generated. An employee experience score may be generated using a machine learning (ML) model, word embedding data, and the one or more acoustic features, where the score corresponds to an experience level of the first speaker during the call with the second speaker. Based on the score, an action may be caused to be performed. In some embodiments, one or more notifications may be generated based on data related to the audio data, where at least notification is configured to improve an experience level for the first speaker.

Abstract: Techniques for monitoring and improving emotional well-being of an employee are described. Stream of audio data corresponding to a call between an employee and a customer may be received. One or more acoustic features and/or audio feature data may be generated from the audio data. Word embedding data corresponding to the audio data may be generated. An employee experience score may be generated using a machine learning (ML) model, word embedding data, and the one or more acoustic features, where the score corresponds to an experience level of the first speaker during the call with the second speaker. Based on the score, an action may be caused to be performed. In some embodiments, one or more notifications may be generated based on data related to the audio data, where at least notification is configured to improve an experience level for the first speaker.

Abstract: A method for identifying VLANs associated with a network includes gathering actual network element configuration data from a plurality of network elements in the network, wherein the actual network element configuration data identifies one or more VLANs that at least some of the plurality of network elements are actually allocated to; correlating the actual network element configuration data with administrative VLAN data; and determining one or more VLANs that are not commonly identified in both the actual network element configuration data and the administrative VLAN data.

Abstract: A method for identifying VLANs associated with a network includes gathering actual network element configuration data from a plurality of network elements in the network, wherein the actual network element configuration data identifies one or more VLANs that at least some of the plurality of network elements are actually allocated to; correlating the actual network element configuration data with administrative VLAN data; and determining one or more VLANs that are not commonly identified in both the actual network element configuration data and the administrative VLAN data.

Abstract: Embodiments herein include implantable medical devices including chemical sensors with bioerodible masking layers to allow for staged activation of the sensors. In an embodiment, an implantable medical device includes a substrate defining wells and a first chemical sensor and a second chemical sensor disposed within separate wells of the substrate. The first chemical sensor and the second chemical sensor can be configured to detect one or more analytes. The device can include a first bioerodible masking layer disposed over the second chemical sensor, sealing off the second chemical sensor. The device can further include a protective planarization layer disposed over at least one of the first chemical sensor and the second chemical sensor such that the outermost surface of the medical device over the first sensor is flush with the outermost surface of the medical device over the second sensor. Other embodiments are also included herein.

Abstract: A method for verifying eligibility of a domain name registrant via a verification web interface for a domain name either registered or in the process of registration with a registrar over a communications network. The method comprising: provide a network link to the registrar or to a registry operator of the domain name; receive an event request for the domain name via the verification web interface including a claim ID associated with the domain name for a domain event; receive a verification request using the network link via the verification web interface including a registrant claim ID and registrant identification information, the registrant claim ID previously provided to the registrant; confirm matching of the registrant claim ID with the claim ID; obtain registrant verification information; access external verification information and compare against the registrant verification information a confirm domain event message or a deny domain event message.

Abstract: A system and method for integrating audio data collected, such as audio data and analytical data, to perform behavioral analysis on the audio data, using an application of acoustic signal processing and machine learning algorithms, by converting the audio data to text data and performing behavioral analysis on the text data. The behavioral analysis data from the audio application of acoustic signal processing is combined with machine learning algorithms and speech to text data to provide a call agent with feedback to assist in the next best action or insight into customer behaviors.

Abstract: Embodiments herein relate to systems and methods for combining data from different types of sensors. In an embodiment, a medical system is included. The medical system can include a first sensor configured to produce a first value for an analyte and a second sensor different than the first sensor, the second sensor configured to produce a second value for the analyte. The medical system can also include a controller configured to receive the first and second values. The controller can create a blended analyte value from the first value and second value. Other embodiments are included herein.

Abstract: The present disclosure provides real-time, contextually appropriate behavioral guidance by utilizing machine learning models applied in real-time to call audio data. The systems and methods disclosed herein use a combination of acoustic signal processing and automatic speech recognition to convert raw call audio into features that are utilized in the machine learning models to create usable outputs to provide a user with behavioral guidance within a given context of a call or interaction with a customer in real-time.

Abstract: Embodiments generally disclosed herein include a computer-implemented method for monitoring and correlating network traffic data associated with a primary network that is in communication with a plurality of secondary networks. The method generates a network traffic data set by monitoring network traffic between the primary network and the plurality of secondary networks. The method also determines a mapping of network connectivity by monitoring inter-network routing information between the primary network and the plurality of secondary networks. In addition, the method generates a traffic measurement data set by monitoring network utilization statistics between the primary network and the plurality of secondary networks. With the collected data sets, the method then calculates a relational network mapping between the primary network and the plurality of secondary networks by correlating the network traffic data set, the mapping of network connectivity, and the traffic measurement data set.

Abstract: Embodiments herein relate to chemical sensors for detecting a physiological analyte. In an embodiment, an implantable medical device including a chemical sensor for detecting an ion concentration in a bodily fluid is provided. The chemical sensor can include a sensing element having an outer barrier layer forming a top, a bottom, and opposed sides, where the top of the outer barrier layer can be created from a polymeric matrix permeable to sodium ions, potassium ions, and hydronium ions. An active agent can be disposed within the top of the outer barrier layer, the active agent having anti-inflammatory effects. The chemical sensor can include an optical excitation assembly configured to illuminate the sensing element. The chemical sensor can also include an optical detection assembly configured to receive light from the sensing element. Other embodiments are also included herein.

Abstract: Embodiments generally disclosed herein include a computer-implemented method for monitoring and correlating network traffic data associated with a primary network that is in communication with a plurality of secondary networks. The method generates a network traffic data set by monitoring network traffic between the primary network and the plurality of secondary networks. The method also determines a mapping of network connectivity by monitoring inter-network routing information between the primary network and the plurality of secondary networks. In addition, the method generates a traffic measurement data set by monitoring network utilization statistics between the primary network and the plurality of secondary networks. With the collected data sets, the method then calculates a relational network mapping between the primary network and the plurality of secondary networks by correlating the network traffic data set, the mapping of network connectivity, and the traffic measurement data set.

Abstract: A method for verifying eligibility of a domain name registrant via a verification web interface for a domain name either registered or in the process of registration with a registrar over a communications network. The method comprising: provide a network link to the registrar or to a registry operator of the domain name; receive an event request for the domain name via the verification web interface including a claim ID associated with the domain name for a domain event; receive a verification request using the network link via the verification web interface including a registrant claim ID and registrant identification information, the registrant claim ID previously provided to the registrant; confirm matching of the registrant claim ID with the claim ID; obtain registrant verification information; access external verification information and compare against the registrant verification information a confirm domain event message or a deny domain event message.

Abstract: Embodiments generally disclosed herein include a computer-implemented method for monitoring and correlating network traffic data associated with a primary network that is in communication with a plurality of secondary networks. The method generates a network traffic data set by monitoring network traffic between the primary network and the plurality of secondary networks. The method also determines a mapping of network connectivity by monitoring inter-network routing information between the primary network and the plurality of secondary networks. In addition, the method generates a traffic measurement data set by monitoring network utilization statistics between the primary network and the plurality of secondary networks. With the collected data sets, the method then calculates a relational network mapping between the primary network and the plurality of secondary networks by correlating the network traffic data set, the mapping of network connectivity, and the traffic measurement data set.

Abstract: A method for verifying eligibility of a domain name registrant via a verification web interface for a domain name either registered or in the process of registration with a registrar over a communications network. The method comprising: provide a network link to the registrar or to a registry operator of the domain name; receive an event request for the domain name via the verification web interface including a claim ID associated with the domain name for a domain event; receive a verification request using the network link via the verification web interface including a registrant claim ID and registrant identification information, the registrant claim ID previously provided to the registrant; confirm matching of the registrant claim ID with the claim ID; obtain registrant verification information; access external verification information and compare against the registrant verification information; and send a confirm domain event message or a deny domain event message.

Abstract: Embodiments herein include systems and methods for detecting, predicting and/or assessing acute kidney injury. In an embodiment, a monitoring system to detect acute kidney injury is included. The monitoring system can include a sensor circuit configured to collect renal data including at least one of systemic renal data, direct renal data, urinary tract data, and renal-relevant extracorporeal data. The monitoring system can also include a memory circuit to store collected renal data, an evaluation circuit to assess renal status, and a telemetry circuit. The evaluation circuit can determine whether acute kidney injury has occurred or is likely to occur by comparing the renal data to at least one of threshold values, personal historical values, patient population values and patterns indicative of acute kidney injury. The evaluation circuit can initiate a warning notification if acute kidney injury has occurred or is likely to occur. Other embodiments are also included herein.

Abstract: Embodiments generally disclosed herein include a computer-implemented method for monitoring and correlating network traffic data associated with a primary network that is in communication with a plurality of secondary networks. The method generates a network traffic data set by monitoring network traffic between the primary network and the plurality of secondary networks. The method also determines a mapping of network connectivity by monitoring inter-network routing information between the primary network and the plurality of secondary networks. In addition, the method generates a traffic measurement data set by monitoring network utilization statistics between the primary network and the plurality of secondary networks. With the collected data sets, the method then calculates a relational network mapping between the primary network and the plurality of secondary networks by correlating the network traffic data set, the mapping of network connectivity, and the traffic measurement data set.