Abstract: Context-dependent memory stimulation is provided. A context-dependent task resumption memory cue personalized to a user is sent to a client device of the user via a network during a task interruption lag period corresponding to a primary task prior to the user starting a set of secondary tasks to support a context-dependent memory of the user associated with the primary task. It is determined that the user started and then stopped performing the set of secondary tasks based on monitoring the client device. The context-dependent task resumption memory cue personalized to the user is resent to the client device via the network during a task resumption lag period corresponding to the primary task to stimulate the context-dependent memory of the user associated with the primary task in response to the computer determining that the user stopped performing the set of secondary tasks and resumed the primary task.

Abstract: In an approach to improve platform modification by dynamically modifying content based on user feedback. Embodiments suggest one or more solutions and recommendations, via a user interface, to one or more users that comply with one or more standards, regulations, and resources of an organization. Further, embodiments verify the solutions and recommendations that comply with the one or more standards, regulations, and resources of the organization, and automatically generate a prototype solution. Additionally, embodiments provide, by the user interface, one or more augmented solutions for the one or more users, wherein augmented solutions are provided to the one or more users requiring a temporary solution; and label and cluster user feedback and associated solutions of the one or more users to provide effective solutions for future users based on a similarity of the feedback of the one or more users.

Abstract: An embodiment associates a virtual-meeting host designation with a first user. During the virtual meeting, the embodiment generates meeting context data that includes user characteristic data and meeting characteristic data. The embodiment uses the meeting context data to generate a predicted end time for the virtual meeting and predicts a meeting run-over condition indicative of the virtual meeting continuing past a scheduled end time by comparing the predicted end time and a scheduled end time. Responsive to predicting the meeting run-over condition, the embodiment uses the user characteristic data to generate a ranked list of other users and renders, as a display to the first user, the ranked list and an indication of the meeting run-over condition. The embodiment receives a selection of a second user as a new host of the virtual meeting and, responsive to receiving the selection, associates the host designation with the second.

Abstract: A method for regulating emotions in conversations is disclosed. In one embodiment, such a method includes monitoring a conversation between participants. The method further divides the conversation into a plurality of utterances and calculates an emotion score for each utterance. The method further determines whether an emotion score of an utterance exceeds a threshold. In the event the emotion score exceeds the threshold, the method intervenes in the conversation in an attempt to return the conversation to a more constructive path. In certain embodiments, this intervention may include taking one or more actions that are specifically tailored to returning the conversation to a more constructive path. In other or the same embodiments, responses or reactions of the participants to the actions are audited to determine if the actions were successful in returning the conversation to a more constructive path. A corresponding system and computer program product are also disclosed.

Abstract: A modeling problem can be received. A database of prior calibrated models can be searched to identify a similar problem having features similar to the received modeling problem. The modeling problem can be calibrated using information of the identified similar problem. The accuracy of calibrated modeling problem can be monitored. The modeling problem can be recalibrated until a performance criterion is met. Calibrated modeling problem can be stored in the database.

Abstract: In an aspect, during a presentation of a presentation material, viewers of the presentation material can be monitored. Based on the monitoring, new content can be determined for insertion into the presentation material. The new content can be automatically inserted to the presentation material in real time. In another aspect, during the presentation, a presenter of the presentation material can be monitored. The presenter's speech can be intercepted and analyzed to detect a level of confidence. Based on the detected level of confidence, the presenter's speech can be adjusted and the adjusted speech can be played back automatically, for example, in lieu of the presenter's original speech that is intercepted.

Abstract: In an approach to improve platform modification by dynamically modifying content based on user feedback. Embodiments suggest one or more solutions and recommendations, via a user interface, to one or more users that comply with one or more standards, regulations, and resources of an organization. Further, embodiments verify the solutions and recommendations that comply with the one or more standards, regulations, and resources of the organization, and automatically generate a prototype solution. Additionally, embodiments provide, by the user interface, one or more augmented solutions for the one or more users, wherein augmented solutions are provided to the one or more users requiring a temporary solution; and label and cluster user feedback and associated solutions of the one or more users to provide effective solutions for future users based on a similarity of the feedback of the one or more users.

Abstract: A comfortability-tension threshold for a user is determined and a current pose of the user and a determined optimal pose are compared. The current pose and the determined optimal pose are mapped to an angle for adjusting on-screen content of a display of the computer system and the on-screen content of the display of the computer system is adjusted based on the angle.

Abstract: A translation-engine suggestion method, system, and computer program product include identifying probes for third-party translation-engines for an input text, segmenting sections of the input text into a plurality of segments according to the identified probes, fragmenting the input text into fragments according to the segments, applying each fragment to the identified probe using the corresponding third-party translation-engine, and outputting a translation by combining each fragment.

Abstract: The exemplary embodiments disclose a method, a computer program product, and a computer system for replying to a user. The exemplary embodiments may include a user asking one or more questions to one or more devices, collecting data of the user and data of the one or more commands, extracting one or more features from the collected data, and determining an appropriate reply and manner of reply based on the extracted one or more features and one or more models.

Abstract: In an aspect, a decision platform that optimizes honey value chain can be provided. The decision platform may receive images of a geographic region including catchment areas, run a first machine learning model with the images as input to identify resources in the catchment areas, run a second machine learning model with the identified resources to predict pollen and nectar concentration in the catchment areas, run a third machine learning model with at least the predicted pollen and nectar concentration to predict honey yield in each of the catchment areas, and determine placement of a swarm to at least one of the catchment areas. The decision platform may also control an unmanned aerial vehicle to guide the swarm to at least one of the catchment areas.

Abstract: In an aspect, during a presentation of a presentation material, viewers of the presentation material can be monitored. Based on the monitoring, new content can be determined for insertion into the presentation material. The new content can be automatically inserted to the presentation material in real time. In another aspect, during the presentation, a presenter of the presentation material can be monitored. The presenter's speech can be intercepted and analyzed to detect a level of confidence. Based on the detected level of confidence, the presenter's speech can be adjusted and the adjusted speech can be played back automatically, for example, in lieu of the presenter's original speech that is intercepted.

Abstract: A comfortability-tension threshold for a user is determined and a current pose of the user and a determined optimal pose are compared. The current pose and the determined optimal pose are mapped to an angle for adjusting on-screen content of a display of the computer system and the on-screen content of the display of the computer system is adjusted based on the angle.

Abstract: In an aspect, a decision platform that optimizes honey value chain can be provided. The decision platform may receive images of a geographic region including catchment areas, run a first machine learning model with the images as input to identify resources in the catchment areas, run a second machine learning model with the identified resources to predict pollen and nectar concentration in the catchment areas, run a third machine learning model with at least the predicted pollen and nectar concentration to predict honey yield in each of the catchment areas, and determine placement of a swarm to at least one of the catchment areas. The decision platform may also control an unmanned aerial vehicle to guide the swarm to at least one of the catchment areas.

Abstract: A translation-engine suggestion method, system, and computer program product include identifying probes for third-party translation-engines for an input text, segmenting sections of the input text into a plurality of segments according to the identified probes, fragmenting the input text into fragments according to the segments, applying each fragment to the identified probe using the corresponding third-party translation-engine, and outputting a translation by combining each fragment.

Abstract: Identify an emergency patient's potential emergency contacts and their social relationships by processing the patient's Internet footprint with a first natural language processing algorithm. Identify the emergency patient's possible health context by processing at least one of the emergency patient's Internet footprint and diagnostic data with a second natural language processing algorithm. Link at least one item of the emergency patient's possible health context to at least one linked emergency contact, who is selected from the potential emergency contacts using a sorting module that is trained to associate types of medical conditions with attributes of emergency contacts. Verify the at least one item of the emergency patient's possible health context by contacting the at least one linked emergency contact. Aggregate a verified health profile for the emergency patient based on at least one response provided by the at least one linked emergency contact.

Abstract: A method includes: receiving a diagnosis of a medical condition; retrieving encoded guidelines for pharmaceutical treatment corresponding to the diagnosis; in response to the encoded guidelines, generating a list of recommended medications with related information; modifying the list of recommended medications, in response to personal context data obtained from at least one of a wearable device, a smart pill bottle, a patient health wallet, and an electronic health record; further modifying the list of recommended medications in response to environmental context data; generating an ordered list of recommended medications by yet further modifying the list of recommended medications in response to a patient similarity analysis; providing to a prescriber the ordered list of recommended medications; developing a logistical plan including a mode of delivery for one of the recommended medications; and programming an autonomous device to implement the mode of delivery.

Abstract: A guideline annotation method, system, and computer program product, include extracting a medical data point from a medical guideline, determining an attribute context of the medical data point, finding a related literature to the medical guideline, determining an expert practice as a difference between the medical guideline and an expert operating procedure, and annotating and outputting a new medical guideline including the related literature and the expert practice.

Abstract: Systems and methods for detecting gaps in netting include constructing a depth map from electromagnetic signals associated with netting surrounding an area, the depth map including measurements of distance of each strand of the netting along an axis perpendicular to a plane formed by the netting relative to the detector. Each segment of netting is identified including each strand of the netting in a side of the netting facing the detector. Locations of gaps in the netting are identified according to the depth map. A user is alerted to the presence and locations of gaps by sending a communication to a computing device.

Abstract: Methods are provided for personalizing and optimizing a medication regime for a patient. For example a method involves generating a medication regime for one or more prescribed medications associated with a patient as input via a user interface; personalizing the generated medication regime for the patient via the user interface; generating a regime planner from the personalized medication regime for the patient via the user interface; and forwarding a reminder to the patient to take the prescribed one or more medications from the generated regime planner via the user interface, wherein the steps of the method are performed in accordance with a processor and a memory.