Abstract: Aspects of the invention include systems and methods for real-time feedback for online collaboration communication quality. A non-limiting example computer-implemented method includes monitoring a conference between a plurality of participants, wherein each participant accesses the conference via a respective Voice over Internet Protocol (VoIP) device. The method further includes detecting, by a processor, an indication, by a scoring system that monitors the conference, of a degradation of sound quality of at least one VoIP device being used to access the conference. The processor engages in verifying the indication of the degradation by analyzing a peer-to-peer test between the VoIP device that has an indication of a degradation of sound quality and a VoIP device that does not have an indication of a degradation of sound quality.

Abstract: An example implementation for social networking service content sharing provides a computer-implemented method that includes analyzing content to be shared on a social networking service, the content being directed to a plurality of potential recipients. The method further includes analyzing the plurality of potential recipients to calculate a plurality of probability scores for each of the plurality of potential recipients. The method further includes calculating a recipient score for each of the plurality of potential recipients based at least in part on the plurality of probability scores for each of the plurality of potential recipients. The method further includes generating a metadata table for the plurality of potential recipients based at least in part on the recipient score for each of the plurality of potential recipients and designating a subset of the plurality of potential recipients to receive the content based at least in part on the metadata table.

Abstract: According to one or more embodiments of the present invention, a computer-implemented method includes creating a baseline online behavior profile of a user at a time t1 based on a usage of a social network by the user. The method further includes continuously monitoring an online behavior profile of the user on the social network and in response to detecting a deviation between the online behavior profile and the baseline online behavior profile, creating a changed online behavior profile of the user at a time t2, t2>t1. The method further includes extracting keywords from a plurality of online posts associated with the user, the online posts being from time t1 until time t2. The method further includes determining an event associated with the extracted keywords. The method further includes in response to the event being of a predetermined type, sending a notification to another user.

Abstract: Aspects of the invention include systems and methods for real-time feedback for online collaboration communication quality. A non-limiting example computer-implemented method includes monitoring a conference between a plurality of participants, wherein each participant accesses the conference via a respective Voice over Internet Protocol (VoIP) device. The method further includes detecting, by a processor, an indication, by a scoring system that monitors the conference, of a degradation of sound quality of at least one VoIP device being used to access the conference. The processor engages in verifying the indication of the degradation by analyzing a peer-to-peer test between the VoIP device that has an indication of a degradation of sound quality and a VoIP device that does not have an indication of a degradation of sound quality.

Abstract: Aspects of the invention include efficient meeting management A non-limiting example of a computer-implemented method includes profiling, by a processor, a first trait of a first participant and a second trait of a second participant and determining, by the processor, a first sociability score of the first participant and a second sociability score of the second participant. The computer-implemented method profiles, by the processor, a first skill set of the first participant and a second skill set of the second participant and calculates, by the processor, participation scores of the first participant and the second participant based on the traits, sociability scores, and skill sets of the first participant and the second participant. The computer-implemented method allocates, by the processor, time to the first participant and the second participant based on the respective participation scores of the first participant and the second participant.

Abstract: A system and method for filtering search results to exclude technically incompatible devices with a user's existing IoT network includes analyzing the search query to determine an objective of a user, calculating a relevance score for each IoT device, profiling an existing IoT network associated with the user, determining a compatibility of each IoT device with the existing IoT network, combining the relevance score and an ease of incorporation score to determine a total score, and filtering the search results for the IoT devices according to the total score, such that an optimal device is displayed at a top of the search results from the search engine on a webpage among other IoT devices that are above a minimum ease of incorporation score and removing other IoT devices from the search results displayed on the webpage that are below the minimum ease of incorporation score.

Abstract: Provided are techniques for generating notifications of a vulnerability risk level when joining a social media group analyzing user and configuration data for one or more group members of a group, calculating a vulnerability score for the one or more group members based on the analysis, and calculating an aggregated group score based on the vulnerability score for the one or more group members. The techniques also includes calculating a group threshold for the group based on a risk event, comparing the group threshold and the aggregated group score, and notifying a user of a vulnerability risk level of the group based on the comparison.

Abstract: Provided are embodiments for a social post management technique based on security considerations. The technique includes monitoring content of one or more messages of at least one social media platform, identifying personal information from the content of the one or more messages, and receiving risk analytics information associated with the content of the one or more messages. The technique also includes correlating the identified personal information and the risk analytics information, calculating a vulnerability score based on the correlation of the identified personal information and the risk analytics information, and transmitting a notification to a user, the notification comprises the vulnerability score.

Abstract: Provided are embodiments for predictive dynamic contextual cache loading. The embodiments include analyzing application usage patterns of one or more applications, determining a candidate set of data records from a plurality of data records associated with the one or more applications, and calculating a cache-add quotient (CAQ) score based at least in part on the candidate set of data records. The embodiments also include marking one or more data records of the candidate set of data records based at least in part on the CAQ score, ranking the one or more data records of the candidate set of data records based on the CAQ score, and loading one or more data records of the candidate set of data records based at least in part on the ranking.

Abstract: According to one or more embodiments of the present invention, a computer-implemented method includes creating a baseline online behavior profile of a user at a time t1 based on a usage of a social network by the user. The method further includes continuously monitoring an online behavior profile of the user on the social network and in response to detecting a deviation between the online behavior profile and the baseline online behavior profile, creating a changed online behavior profile of the user at a time t2, t2>t1. The method further includes extracting keywords from a plurality of online posts associated with the user, the online posts being from time t1 until time t2. The method further includes determining an event associated with the extracted keywords. The method further includes in response to the event being of a predetermined type, sending a notification to another user.

Abstract: An example implementation for social networking service content sharing provides a computer-implemented method that includes analyzing content to be shared on a social networking service, the content being directed to a plurality of potential recipients. The method further includes analyzing the plurality of potential recipients to calculate a plurality of probability scores for each of the plurality of potential recipients. The method further includes calculating a recipient score for each of the plurality of potential recipients based at least in part on the plurality of probability scores for each of the plurality of potential recipients. The method further includes generating a metadata table for the plurality of potential recipients based at least in part on the recipient score for each of the plurality of potential recipients and designating a subset of the plurality of potential recipients to receive the content based at least in part on the metadata table.

Abstract: A data congestion control can operate in a hierarchical sensor network. A first data rate of data received from a set of devices is determined to compare unfavorably to a congestion threshold. A most favorable negotiation score of a set of negotiation scores corresponding to the set of devices is determined. A proposed reduced transmission rate that is less than a current transmission rate of the device and that compares favorably a boundary conditions of the device is determined. A transmission rate reduction request is generated for transmission to the one of the set of devices that indicates the proposed reduced transmission rate. An updated data rate of the data received from the set of devices is determined, and a difference between the updated data rate and the first aggregated data rate corresponds to a reduction of rate of transmission by the device.

Abstract: A system and method for filtering search results to exclude technically incompatible devices with a user's existing IoT network includes analyzing the search query to determine an objective of a user, calculating a relevance score for each IoT device, profiling an existing IoT network associated with the user, determining a compatibility of each IoT device with the existing IoT network, combining the relevance score and an ease of incorporation score to determine a total score, and filtering the search results for the IoT devices according to the total score, such that an optimal device is displayed at a top of the search results from the search engine on a webpage among other IoT devices that are above a minimum ease of incorporation score and removing other IoT devices from the search results displayed on the webpage that are below the minimum ease of incorporation score.

Abstract: A data congestion control can operate in a hierarchical sensor network. A first data rate of data received from a set of devices is determined to compare unfavorably to a congestion threshold. A most favorable negotiation score of a set of negotiation scores corresponding to the set of devices is determined. A proposed reduced transmission rate that is less than a current transmission rate of the device and that compares favorably a boundary conditions of the device is determined. A transmission rate reduction request is generated for transmission to the one of the set of devices that indicates the proposed reduced transmission rate. An updated data rate of the data received from the set of devices is determined, and a difference between the updated data rate and the first aggregated data rate corresponds to a reduction of rate of transmission by the device.

Abstract: A data congestion control can operate in a hierarchical sensor network. A first data rate of data received from a set of devices is determined to compare unfavorably to a congestion threshold. A most favorable negotiation score of a set of negotiation scores corresponding to the set of devices is determined. A proposed reduced transmission rate that is less than a current transmission rate of the device and that compares favorably a boundary conditions of the device is determined. A transmission rate reduction request is generated for transmission to the one of the set of devices that indicates the proposed reduced transmission rate. An updated data rate of the data received from the set of devices is determined, and a difference between the updated data rate and the first aggregated data rate corresponds to a reduction of rate of transmission by the device.

Abstract: A data congestion control can operate in a hierarchical sensor network. A first data rate of data received from a set of devices is determined to compare unfavorably to a congestion threshold. A most favorable negotiation score of a set of negotiation scores corresponding to the set of devices is determined. A proposed reduced transmission rate that is less than a current transmission rate of the device and that compares favorably a boundary conditions of the device is determined. A transmission rate reduction request is generated for transmission to the one of the set of devices that indicates the proposed reduced transmission rate. An updated data rate of the data received from the set of devices is determined, and a difference between the updated data rate and the first aggregated data rate corresponds to a reduction of rate of transmission by the device.

Abstract: The present invention is directed generally to host cells with artificial endosymbionts, wherein the artificial endosymbiont and the host cell communicate with each other to alter a phenotype of the host cell. In some embodiments, the communication comprises the secretion of a polypeptide from the artificial endosymbiont into the host cell. The secreted polypeptide can be a selectable marker, a reporter protein, a transcription factor, a signal pathway protein, a receptor, a growth factor, a cytokine, an effector molecule or other factors that can produce a phenotype in the host cell.

Abstract: The present invention is directed generally to host cells with artificial endosymbionts, wherein the artificial endosymbiont and the host cell communicate with each other to alter a phenotype of the host cell. In some embodiments, the communication comprises the secretion of a polypeptide from the artificial endosymbiont into the host cell. The secreted polypeptide can be a selectable marker, a reporter protein, a transcription factor, a signal pathway protein, a receptor, a growth factor, a cytokine, an effector molecule or other factors that can produce a phenotype in the host cell.

Abstract: The present invention is directed generally to host cells with artificial endosymbionts, wherein the artificial endosymbiont and the host cell communicate with each other to alter a phenotype of the host cell. In some embodiments, the communication comprises the secretion of a polypeptide from the artificial endosymbiont into the host cell. The secreted polypeptide can be a selectable marker, a reporter protein, a transcription factor, a signal pathway protein, a receptor, a growth factor, a cytokine, an effector molecule or other factors that can produce a phenotype in the host cell.

Abstract: The present invention is directed generally to host cells with artificial endosymbionts, wherein the artificial endosymbiont and the host cell communicate with each other to alter a phenotype of the host cell. In some embodiments, the communication comprises the secretion of a polypeptide from the artificial endosymbiont into the host cell. The secreted polypeptide can be a selectable marker, a reporter protein, a transcription factor, a signal pathway protein, a receptor, a growth factor, a cytokine, an effector molecule or other factors that can produce a phenotype in the host cell.