Abstract: Methods, non-transitory computer readable media, network traffic management apparatuses, and network traffic management systems that utilize a reverse tunnel proxy in a cloud environment. The reverse tunnel proxy in a cloud environment automatically discovers its environment and creates an appropriate tunnel without using a public IP. The reverse tunnel proxy in a cloud environment utilizes an outgoing connection along with an initialization and channelization to connect to the cloud and accepts an incoming connection in response. In embodiments, a cloud initiates a connection and a tunnel is created without need for additional IP addresses. In embodiments, the reverse tunnel proxy in a cloud environment connects to a client as a server and a private key is stored at a server side without pushing private keys into a public environment.

Abstract: Certain aspects of the present disclosure generally relate to wireless communications and, more particularly, to mechanisms for enhancing pedestrian to vehicle (P2V) communications. For example, a pedestrian user equipment (P-UE) may detect a change in at least one of: location or motion of the UE adjust, based on the detection, behavior of one or more features of the UE related to P2V transmissions.

Abstract: Embodiments are directed to monitoring network traffic. A monitoring engine may monitor network traffic associated with a plurality of entities in networks to provide metrics. And provide a device relation model based on the plurality of entities, the network traffic, and the metrics. An inference engine may associate each entity in the plurality of entities with an importance score based on the device relation model and the metrics such that each importance score is associated with a significance of an entity to operations of the networks. An alert engine may generate a plurality of alerts associated with the plurality of entities based on the metrics. And provide one or more alerts from the plurality of alerts to one or more users based on one or more ranked importance scores associated with one or more entities.

Abstract: Embodiments are directed to monitoring network traffic associated with networks to provide metrics. A monitoring engine may determine an anomaly based on the metrics exceeding threshold values. An inference engine may be instantiated to provide an anomaly profile based on portions of the network traffic that are associated with the anomaly. The inference engine may provide an investigation profile based on the anomaly profile such that the investigation profile includes information associated with investigation activities associated with an investigation of the anomaly. The inference engine may monitor the investigation of the anomaly based on other portions of the network traffic such that the other portions of the network traffic are associated with monitoring an occurrence of the investigation activities. The inference engine may modify a performance score associated with the investigation profile based on the occurrence of the investigation activities and a completion status of the investigation.

Abstract: Embodiments are directed to monitoring network traffic using network computers. A monitoring engine may monitor network traffic associated with a plurality of entities in a network to provide metrics. A device relation model may be provided based on the plurality of entities, the network traffic, and the metrics. Interest information for a user may be provided based on one or more properties associated with the user. An inference engine may associate each entity in the plurality of entities with an interest score based on the interest information, the device relation model, and the metrics. An alert engine may generate a plurality of alerts associated with the plurality of entities based on the metrics. Some of the alerts may be provided to the user based on ranked interest scores associated with the entities.

Abstract: The disclosure generally relates to connecting wireless devices based on a correlation between different audio sources. For example, according to various aspects, a first wireless device may capture sound via a microphone and receive audio content from a second wireless device via a wireless receiver. Accordingly, a wireless connection may be established between the first and second wireless devices based on a substantial match between the sound captured via the microphone and the audio content received via the wireless receiver. For example, the sound captured via the microphone may be output from a speaker on the second wireless device. In other examples, the received audio content may be sound captured via a local microphone at the second wireless device. In either case, the correlation between the audio received through the microphone and the audio content received over a radio may substantially simplify the procedure(s) used to connect two audio-enabled devices.

Abstract: The present invention provides controlled release dosage formulations of compounds having the Formula: or pharmaceutically acceptable salts thereof, and in particular, aplindore. The dosage forms are useful, inter alia, for reducing side effects from administration of such compounds.

Abstract: Embodiments are directed to monitoring network traffic associated with networks to provide metrics. A monitoring engine may determine an anomaly based on the metrics exceeding threshold values. An inference engine may be instantiated to provide an anomaly profile based on portions of the network traffic that are associated with the anomaly. The inference engine may provide an investigation profile based on the anomaly profile such that the investigation profile includes information associated with investigation activities associated with an investigation of the anomaly. The inference engine may monitor the investigation of the anomaly based on other portions of the network traffic such that the other portions of the network traffic are associated with monitoring an occurrence of the investigation activities. The inference engine may modify a performance score associated with the investigation profile based on the occurrence of the investigation activities and a completion status of the investigation.

Abstract: Embodiments are directed to monitoring network traffic using network computers. Monitoring triggers associated with one or more conditions and one or more actions may be provided. A monitoring engine may monitor information that is associated with network traffic associated with networks based on an inspection detail level. The monitoring engine may compare the monitored information to the conditions associated with the monitoring triggers. The monitoring engine may activate one or more monitoring triggers based on a result of the comparison. The monitoring engine may modify the inspection detail level based on the actions associated with the activated monitoring triggers to increase the amount of the information monitored by the monitoring engine. An analysis engine may provide analysis of the network traffic based on the monitored information.

Abstract: Embodiments are directed to monitoring network traffic associated with networks to provide metrics. A monitoring engine may determine an anomaly based on the metrics exceeding threshold values. An inference engine may be instantiated to provide an anomaly profile based on portions of the network traffic that are associated with the anomaly. The inference engine may provide an investigation profile based on the anomaly profile such that the investigation profile includes information associated with investigation activities associated with an investigation of the anomaly. The inference engine may monitor the investigation of the anomaly based on other portions of the network traffic such that the other portions of the network traffic are associated with monitoring an occurrence of the investigation activities. The inference engine may modify a performance score associated with the investigation profile based on the occurrence of the investigation activities and a completion status of the investigation.

Abstract: A method is provided for treating a Mendelian disorder of the epigenetic machinery (e.g., Kabuki syndrome) in a subject in need thereof. In particular, the method comprises administering to the subject a ketogenic composition in an amount sufficient to produce a physiologically acceptable ketosis in the subject. A method for selecting a subject for treatment of a Mendelian disorder of the epigenetic machinery (e.g., Kabuki syndrome) is also provided. Ketogenic compositions and kits useful for practicing the methods are also provided.

Abstract: Embodiments are directed to monitoring network traffic. A monitoring engine may monitor network traffic associated with a plurality of entities in networks to provide metrics. And provide a device relation model based on the plurality of entities, the network traffic, and the metrics. An inference engine may associate each entity in the plurality of entities with an importance score based on the device relation model and the metrics such that each importance score is associated with a significance of an entity to operations of the networks. An alert engine may generate a plurality of alerts associated with the plurality of entities based on the metrics. And provide one or more alerts from the plurality of alerts to one or more users based on one or more ranked importance scores associated with one or more entities.

Abstract: The present invention provides controlled release dosage formulations of compounds having the Formula: or pharmaceutically acceptable salts thereof, and in particular, aplindore. The dosage forms are useful, inter alia, for reducing side effects from administration of such compounds.

Abstract: Methods, non-transitory computer readable media, network traffic management apparatuses, and network traffic management systems that utilize a reverse tunnel proxy in a cloud environment. The reverse tunnel proxy in a cloud environment automatically discovers its environment and creates an appropriate tunnel without using a public IP. The reverse tunnel proxy in a cloud environment utilizes an outgoing connection along with an initialization and channelization to connect to the cloud and accepts an incoming connection in response. In embodiments, a cloud initiates a connection and a tunnel is created without need for additional IP addresses. In embodiments, the reverse tunnel proxy in a cloud environment connects to a client as a server and a private key is stored at a server side without pushing private keys into a public environment.

Abstract: Methods, non-transitory processor-readable storage media, systems, and devices for provisioning devices associated with wireless identity transmitters. An embodiment method performed by a proximity broadcast receiver may include operations for receiving a broadcast message including a secure identifier from a wireless identity transmitter, transmitting to a central server a sighting message that includes the secure identifier and an identity of the proximity broadcast receiver, receiving from the central server a return message that includes identification information related to the received broadcast message and that is authorized to be distributed to the proximity broadcast receiver based on data stored on the central server, and provisioning a device associated with the received broadcast message based on the identification information from the received return message.

Abstract: A method for muting a Bluetooth device is described. The method includes receiving, by a Bluetooth controller of the Bluetooth device, a mute remote microphone message from a peer Bluetooth device. The method also includes disabling audio transmission functionality of the Bluetooth device. The Bluetooth device may also receive a disable remote mute message from the peer Bluetooth device and enable the audio transmission functionality of the Bluetooth device.

Abstract: Embodiments are directed to monitoring network traffic. A monitoring engine may monitor network traffic associated with a plurality of entities in networks to provide metrics. And provide a device relation model based on the plurality of entities, the network traffic, and the metrics. An inference engine may associate each entity in the plurality of entities with an importance score based on the device relation model and the metrics such that each importance score is associated with a significance of an entity to operations of the networks. An alert engine may generate a plurality of alerts associated with the plurality of entities based on the metrics. And provide one or more alerts from the plurality of alerts to one or more users based on one or more ranked importance scores associated with one or more entities.

Abstract: Embodiments are directed to monitoring network traffic using network computers. Monitoring triggers associated with one or more conditions and one or more actions may be provided. A monitoring engine may monitor information that is associated with network traffic associated with networks based on an inspection detail level. The monitoring engine may compare the monitored information to the conditions associated with the monitoring triggers. The monitoring engine may activate one or more monitoring triggers based on a result of the comparison. The monitoring engine may modify the inspection detail level based on the actions associated with the activated monitoring triggers to increase the amount of the information monitored by the monitoring engine. An analysis engine may provide analysis of the network traffic based on the monitored information.

Abstract: Embodiments are directed to monitoring network traffic. A monitoring engine may monitor network traffic associated with a plurality of entities in networks to provide metrics. And provide a device relation model based on the plurality of entities, the network traffic, and the metrics. An inference engine may associate each entity in the plurality of entities with an importance score based on the device relation model and the metrics such that each importance score is associated with a significance of an entity to operations of the networks. An alert engine may generate a plurality of alerts associated with the plurality of entities based on the metrics. And provide one or more alerts from the plurality of alerts to one or more users based on one or more ranked importance scores associated with one or more entities.

Abstract: Embodiments are directed to monitoring network traffic using network computers. A monitoring engine may monitor network traffic associated with a plurality of entities in a network to provide metrics. A device relation model may be provided based on the plurality of entities, the network traffic, and the metrics. Interest information for a user may be provided based on one or more properties associated with the user. An inference engine may associate each entity in the plurality of entities with an interest score based on the interest information, the device relation model, and the metrics. An alert engine may generate a plurality of alerts associated with the plurality of entities based on the metrics. Some of the alerts may be provided to the user based on ranked interest scores associated with the entities.