Abstract: A method of determining the utility of publicly available source code includes analyzing, by one or more processors of a computer system, source code of an application in development, determining, by the one or more processors of the computer system, efficacy of a publicly available target code sample based a discriminant function analysis model, computing, by the one or more processors of the computer system, a goodness of fit assessment of the publicly available target code sample to the application in development based on the analyzing the source code of the application in development, and determining, by the one or more processors of the computer system, whether to use the publicly available target code sample based on the goodness of fit assessment.

Abstract: Disclosed embodiments provide a computer-implemented technique for filtering electronic communication based on the current task of a user. The current task of a user is derived using a workflow segmentation model. A workflow segmentation model is derived based on user-defined activities, heuristics, location data, environmental data, and/or other input data. Prior to delivery, electronic communication directed to the user is analyzed based on sender, subject, message content, time of day, and/or other criteria to determine if the message should be presented to the user immediately, or deferred, based on the relevance of the message to the current task of the user.

Abstract: Disclosed embodiments provide a computer-implemented technique for filtering electronic communication based on the current task of a user. The current task of a user is derived using a workflow segmentation model. A workflow segmentation model is derived based on user-defined activities, heuristics, location data, environmental data, and/or other input data. Prior to delivery, electronic communication directed to the user is analyzed based on sender, subject, message content, time of day, and/or other criteria to determine if the message should be presented to the user immediately, or deferred, based on the relevance of the message to the current task of the user.

Abstract: Systems and methods for securing access to a mobile device are disclosed. A method includes: synchronizing, by a first mobile computer device, with a remote mobile computer device; transmitting, by the first mobile computer device, a tone to a surface of an object; receiving, by the first mobile computer device, a compound resonance frequency from the object based on the transmitted tone; determining, by the first mobile computer device, the received compound resonance frequency conforms to a stored compound resonance frequency; unlocking, by the first mobile computer device, the first computer device based on the determining; and establishing, by the first mobile computer device, a group connection with the remote mobile computer device based on the unlocking.

Abstract: Systems and methods for securing access to a mobile device are disclosed. A method includes: synchronizing, by a first mobile computer device, with a remote mobile computer device; transmitting, by the first mobile computer device, a tone to a surface of an object; receiving, by the first mobile computer device, a compound resonance frequency from the object based on the transmitted tone; determining, by the first mobile computer device, the received compound resonance frequency conforms to a stored compound resonance frequency; unlocking, by the first mobile computer device, the first computer device based on the determining; and establishing, by the first mobile computer device, a group connection with the remote mobile computer device based on the unlocking.

Abstract: A vehicular medical assistant configured to access a medical data store of interrelated diagnostic data, medical conditions, and mitigation actions. The vehicular medical assistant detects a medical event based on the medical data store and a set of data associated with the passenger. The set of data associated with the passenger can include biometric data, aural data, visual data, and environmental data. The vehicular medical assistant can implement a mitigation action in response to detecting the medical event. The mitigation action can include interacting with the passenger and/or modifying the vehicle.

Abstract: Techniques for managing the quality of a communication service may include obtaining crowd movement information relating to movement of individuals in a crowd within geographical spaces, and obtaining user activity information relating to one or more activities of interest to a user in a geographical space. A bandwidth density model is generated, based on the obtained crowd movement information and user activity information, the bandwidth model describing a variation of communication bandwidth density in the geographical space with respect to location and time. Quality of communication service parameters are determined, based on the bandwidth density model, with respect to location for the geographical space. Based on the quality of communication service parameters and a current location of the user in the geographical space, a target location in the geographical space is determined for the user. The user is instructed to move to the target location in the geographical space.

Abstract: User activity pertaining to a product is automatically analyzed. Based, at least in part, on the analyzing the user activity pertaining to the product, a temporal logging level model can be derived. The temporal logging level model can determine a first logging level to be applied to the product. The temporal logging level model also can determine a duration of time for which the first logging level is to be applied to the product. Application of the first logging level to the product for the determined duration of time can be initiated.

Abstract: A sentiment analysis of a chat session in which a plurality of chat messages are posted is performed. Based on the sentiment analysis, at least one emotive model is derived for the chat session. A sentiment of users in the chat session can be determined using the emotive model. A user composing a new chat message for the chat session can be monitored. Based on the monitoring, an impact on the sentiment of the users in the chat session by the new chat message can be determined. A client device can be initiated to display the impact on the sentiment of the users in the chat session by the new chat message before the new chat message is posted in the chat session.

Abstract: Provided are techniques for collaborative learned scoping to extend data reach for a search request. From monitoring prior collaboration data of entities discussing topics, the topics, access response times to data sources with content objects for the topics, and topic response content of the content objects are derived. A data reach model is built using the topics, the access response times, the topic response content, and data sources of the topics. For a topic of the topics, the data reach model is used to determine a new data source to be added and a duration of adding the new data source based on real time entity activity. The new data source is added to a data reach of the current group of entities. In response to receiving a search request, the search request is issued against the data sources and the new data source, and results are returned.

Abstract: A computer-implemented method generates a graphical user interface (GUI). A graphical user interface (GUI) development server receives a candidate GUI element. The candidate GUI element is in use by one or more current GUIs, and the candidate GUI element performs a computer-based function. The GUI development server receives a rating of the candidate GUI element from users of the one or more current GUIs, and determines whether the rating of the candidate GUI element exceeds a predefined value. In response to determining that the rating of the candidate GUI element exceeds the predefined value, the GUI development server identifies the candidate GUI element as a preferred GUI element to perform the computer-based function in future GUIs, and utilizes that preferred GUI element to generate a new GUI that needs the computer-based function.

Abstract: A system, method and computer program product for cognitive copy and paste. The method includes: receiving, at a hardware processor of a computer system, an input representing a selection of a content captured from a source application program, and receiving an input representing an identified target application program that will receive the selected content to be copied and rendered in the target application program. The selected content is analyzed to determine a context for the selected content; and a rendering of the selected content at a location within the destination application based on the determined context, the rendering achieving a best representation of the selected content on the destination application. The analyzing includes invoking a natural language processor to determine an intent, meaning, or an intended use of the selected content based on the determined context, and employs a support vector machine for determining a best format change when rendering.

Abstract: A computer-implemented method includes: generating, by a computer device, a baseline emotive state of a first user; generating, by the computer device, a baseline emotive state of a second user; determining, by the computer device, a current emotive state of the first user during a current video conference between the first user and the second user; determining, by the computer device, a current emotive state of the second user during the current video conference; and suggesting, by the computer device, a behavioral adjustment to the first user based on comparing the baseline emotive state of the first user, the current emotive state of the first user, the baseline emotive state of the second user, and the current emotive state of the second user.

Abstract: Systems and methods for selectively delaying delivery of high-impact digital communications are disclosed. In embodiments, a computer-implemented method comprises: receiving, by a computing device, notification of a digital communication from a sender to at least one recipient; determining an impact value of the digital communication by comparing data of the digital communication with user profile data of the at least one recipient; determining that the impact value meets a predetermined threshold value associated with the at least one recipient, indicating that communication handling procedures apply to selectively delay the delivery of the digital communication to the at least one recipient; determining whether special delivery procedures apply that override the communication handling procedures; and initiating delivery of the digital communication to the at least one recipient based on the determining whether special delivery procedures apply.

Abstract: A method of avoiding speech collisions among participants during teleconferences includes, during a teleconference, performing, using computer hardware, audio analysis of voices of a plurality of participants of the teleconference, determining, using the computer hardware, an emotive state for each of the plurality of participants during the teleconference, generating, using the computer hardware, a user frequency model for each of the plurality of participants based on the audio analysis and the emotive state, and adjusting, using the computer hardware, frequency of a voice of at least one of the plurality of participants during the teleconference based on the user frequency models of the plurality of participants to avoid a speech collision.

Abstract: Micro-term modeling for chat discourse includes determining, using computer hardware, a role of a user and a domain of reference of the user based on electronic chat messages for the user across a plurality of group chats, determining, using the computer hardware, topics from a selected group chat in which the user is a participant, determining, using the computer hardware and from the selected group chat, a segment of interest to the user based on the role, the domain of reference, and the topics found in the selected group chat, and providing, using the computer hardware, an indicator of the segment of interest.

Abstract: Synchronizing collaboration times for members of a team includes extracting emotive content and topical indicia from conversation data generated from multiple electronically captured conversations involving the team members. A model for generating time-based collaboration profiles for each member with respect to a specific topic can be constructed based on the emotive content and topical indicia. A synchronized collaboration time for the members of the team can be determined based on comparisons of each team member's respective collaboration profile.

Abstract: A method includes receiving, by a processor, metrics relating to a plurality of program channels. The plurality of program channels are distributed via at least one multicast stream. The method also includes modifying, by the processor, the at least one multicast stream. The modifying is based at least on the received metrics, and the modifying changes which programs are distributed via the at least one multicast stream. The method also includes transmitting at least one program channel via the modified at least one multicast stream.

Abstract: A method includes receiving, by a processor, metrics relating to a plurality of program channels. The plurality of program channels are distributed via at least one multicast stream. The method also includes modifying, by the processor, the at least one multicast stream. The modifying is based at least on the received metrics, and the modifying changes which programs are distributed via the at least one multicast stream. The method also includes transmitting at least one program channel via the modified at least one multicast stream.

Abstract: A computer-implemented method includes: determining, by a computer device, contextual data of plural calls to a callee; generating, by the computer device, a predictive model based on the contextual data of the plural calls; determining, by the computer device, contextual data of a current call to the callee; determining, by the computer device and based on the model and the contextual data of the current call, a probability that the callee will answer the current call; determining, by the computer device and based on the model and the contextual data of the current call, an amount of time to ring for the current call; instructing, by the computer device, a caller device to display the determined probability; and instructing, by the computer device, a callee device to control an amount of rings for the current call based on the determined amount of time to ring.