Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for implementing an independent services platform. One of the methods includes maintaining a first software platform system configured to host user-provided computing tasks in a cloud computing environment of a distributed computing system. A services platform system configured to host services in the cloud computing environment of the distributed computing system is also maintained, wherein the second services platform system is configured to provision independent service resources in the underlying cloud computing infrastructure, and launch one or more service instances of the service using the provisioned independent service resources in the underlying cloud computing infrastructure. The second services platform system is configured to receive a bind request from a user and to provide binding information to one or more computing tasks hosted by the first software platform system upon receiving the bind request.

Abstract: Concepts and technologies disclosed herein are directed to a smart automated external defibrillator (“AED”). According to one aspect of the concepts and technologies disclosed herein, the AED can present a menu that includes a plurality of modes. The plurality of modes can include a first responder mode, an Internet of Things (“IoT”), and a general use mode. The AED can receive, via an input component, a selection, from the menu, of a mode from the plurality of modes. In response to the selection, the AED can configure a network connectivity component in accordance with a setting specified in the mode.

Abstract: A computer program product provides program instructions configured to be executable by a processor to cause the processor to perform operations. The operations include associating, for each data field among a plurality of data fields of a database, the data field with a subject matter category from among a plurality of subject matter categories; providing data from the database to a first user interface; detecting data entry into a first data field of the database subsequent to providing data from the database to the first user interface; identifying a first subject matter category that is associated with the first data field into which the detected data entry is received; and setting a first flag to indicate that the first user interface has stale data within the first subject matter category without immediately pushing data reflecting the detected data entry to the first user interface.

Abstract: Adaptive packet scheduling for interference mitigation is disclosed. Current spectral information can be compared to historical spectral information to determine a likelihood of a future interference event. Based on the furfure interference event, a data frame can be adapted to mitigate the effect of the future interference event on wireless communication. The interference event can be related to an unintentional interference source that can have distinct interference characteristics distinguishing it from an intentional interference source. Comparison can be facilitated by a data store storing historical interference information related to one or more historical interference events.

Abstract: In one embodiment, a method includes identifying, by a packet analyzer, one or more silence packets within a network and initiating, by the packet analyzer, a replacement of the one or more silence packets with one or more performance silence packets. The one or more performance silence packets are transmitted between a first node of the network and a second node of the network during a silence period. The method further includes receiving, by the packet analyzer, information associated with the one or more performance silence packets; and analyzing, by the packet analyzer, a connection between the first node of the network and the second node of the network using the information associated with the one or more performance silence packets.

Abstract: A computer program product includes program instructions and an apparatus includes a processor for processing the program instructions, where the program instructions are configured to be executable by a processor to cause the processor to perform operations. The operations comprise causing a source device to communicate with a destination device over a direct short-range wireless connection between the source device and the destination device, causing the source device to communicate over a local area network to identify a participating device that is connected to the local area network and is able to form a second short-range wireless connection with the destination device, and causing the source device to communicate with the destination device through the participating device by sending data over the local area network to the participating device for forwarding to the destination device over the second short-range wireless connection.

Abstract: Aspects of the subject disclosure may include, for example, receiving data associated with a video, applying the data to a machine learning model to obtain a prediction regarding an accuracy of an assertion included in the video, responsive to the prediction indicating that the assertion is accurate, transmitting the video to a processing system including a processor, and responsive to the prediction indicating that the assertion in inaccurate, preventing a transmission of the video to the processing system.

Abstract: Aspects of the subject disclosure may include, for example, segmenting an assigned spectrum into a lower portion, a middle portion, and an upper portion, establishing one or more full power wireless connections in the middle portion of the assigned spectrum, and establishing one or more reduced power wireless connections in the upper and lower portions of the assigned spectrum. Other embodiments are disclosed.

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for improving media quality at the network edge by encoding the media into a digital stream that is carried, end-to-end, to a peer edge device. For instance, in one example, a method includes initiating, by a first computing device, a connection to a second computing device, selecting, by the first computing device, a codec for encoding data into a data stream, wherein the codec is selected such that the data stream can be decoded by the second computing device without being transcoded by an intermediary, encoding, by the first computing device, the data into the data stream using the codec, and sending, by the first computing device, the data stream to the second computing device.

Abstract: Aspects of the subject disclosure may include, for example, wirelessly receiving test signals when an unmanned aircraft is at different positions in proximity to a transmission medium where the first group of test signals is transmitted from different locations, determining RF parameters associated with each of the test signals, and generating placement information indicative of a target location for a communication device to be positioned, where the placement information is generated based on the RF parameters. Other embodiments are disclosed.

Abstract: User equipments (UEs) can be efficiently clustered into groups of UEs where a UE of a group can be selected as a host UE to communicate with a radio access network (RAN) on behalf of other UEs in the group. A resource manager component can receive information, including predictive information of predicted future UE performance or characteristics, relating to respective power availability, signal strength, data performance, and transit vectors of respective UEs from UEs in an area, and determine which UEs are to be clustered in a group and which UE(s) of the group is to be a host UE(s) for the group based on such information. The host UE can facilitate communications between the other UEs in the group and the RAN. The resource manager component also can employ a round-robin technique for substantially equal sharing of duties as host UE among multiple UEs of the group.

Abstract: Communication of light signals and optical cables can be managed to mitigate error associated with using optical cables to communicate light signals. A communication management component (CMC) can embed respective timing synchronization pulses in respective lights signals having respective wavelengths. The light signals can be typical light signals or can be squeezed and twisted to generate a desired twisted light signal. The light signals can be transmitted via the optical cable to a receiver. A CMC, at the receiver end, can determine error associated with the transmission of the light signals via the optical cable and respective characteristics of the respective light signals, including respective arrival times of the respective timing synchronization pulses and respective light intensity or power levels of the respective light signals. From the respective characteristics, CMC can determine a compensation action to perform mitigate the error with regard to subsequent transmissions of light signals.

Abstract: An authentication method is disclosed. To authenticate a user, a mobile device may request identification and verification from the user. Upon receiving a positive identification and verification response from the user, the mobile device may generate a cryptogram using a user identification (ID) associated with the user, a timestamp, a device ID associated with the mobile device, a service provider application ID associated with the service provider application, and a service provider device ID. The mobile device may transmit the generated cryptogram, the user ID, the timestamp, the device ID, the service provider application ID, and the service provider device ID, to a service provider computer associated with the service provider application. The service provider computer may decrypt the cryptogram and compare the decrypted data elements to the received data elements to validate and authenticate the user.

Abstract: In one embodiment, a method includes identifying, by a packet analyzer, one or more silence packets within a network and initiating, by the packet analyzer, a replacement of the one or more silence packets with one or more performance silence packets. The one or more performance silence packets are transmitted between a first node of the network and a second node of the network during a silence period. The method further includes receiving, by the packet analyzer, information associated with the one or more performance silence packets; and analyzing, by the packet analyzer, a connection between the first node of the network and the second node of the network using the information associated with the one or more performance silence packets.

Abstract: Adaptive packet scheduling for interference mitigation is disclosed. Current spectral information can be compared to historical spectral information to determine a likelihood of a future interference event. Based on the future interference event, a data frame can be adapted to mitigate the effect of the future interference event on wireless communication. The interference event can be related to an unintentional interference source that can have distinct interference characteristics distinguishing it from an intentional interference source. Comparison can be facilitated by a data store storing historical interference information related to one or more historical interference events.

Abstract: Aspects of the subject disclosure may include, for example, segmenting an assigned spectrum into a lower portion, a middle portion, and an upper portion, establishing one or more full power wireless connections in the middle portion of the assigned spectrum, and establishing one or more reduced power wireless connections in the upper and lower portions of the assigned spectrum. Other embodiments are disclosed.

Abstract: Performance sensitive selection of audio signal data is disclosed. A first rank value for the processed audio signal data can be based on a level of fidelity to an input audio signal. A second rank value for the processed audio signal data can be based on a performance metric of a processing scheme for processing the input audio signal into the processed audio signal. A third rank for the processed audio signal data can be based on an indication of a level of satisfaction for performance of the processed audio signal by a receiving device. A fourth rank for the processed audio signal data can be based on a network condition for a network conveying the processed audio signal to a device for performing the processed audio signal. Selection of the processed audio signal data can be based on the first, second, third, fourth rank, or combinations thereof.

Abstract: Aspects of the subject disclosure may include, for example, a cloud-based communication resource controller that operates by correlating communication requirements, network parameters, end-user device information for a plurality of end-user devices in accordance with the position and trajectory data for these devices to generate correlated end-user and network data. The cloud-based communication resource controller allocates communication resources of a wireless access network for communication to the plurality of end-user devices and controls beamforming by the communication nodes in accordance with the position and trajectory data.

Abstract: Disclosed herein; are novel compounds for treating apicomplexan parasite related disorders, methods for their use; cell line and non-human animal models of the dormant parasite phenotype and methods for their use in identifying new drugs to treat apicomplexan parasite related disorders, and biomarkers to identify disease due to the parasite and its response to treatment.

Abstract: A system having patient image processing capability and being in compliance with health insurance portability and accountability act including a N-server having a database, wherein the N-server receives patient data in a form of numerical values from at least one sender and wherein the patient data is converted into numerical values prior to being sent to the N-server. Additionally, the system includes one or more artificial intelligence program to analyze the data in the form of numerical values and detect patterns for a predefined abnormality.