Abstract: Disclosed herein are various embodiments a code simplification system. An embodiment operates by determining that a software version of a coordinator node is different from a software version of one or more worker nodes. Commits by the one or more worker nodes to a database are disabled based on the determination that the software versions differ. An update is performed on each of the one or more worker nodes. An acknowledgement that the update on each of the one or more worker nodes has completed is received, and the commits to the database by the one or more worker nodes is enabled.

Abstract: A computer-implemented method, a computer program product, and a computer system for using computer vision to automatically generate a unit test case. A computer converts a text file of a source code to an image file of the source code. A computer inputs the image file to a neural network having been trained with source code images. The neural network identifies elements in the image file. The neural network generates a resulting image including identified elements in the image file. A computer extracts the identified elements from the resulting image. A computer generates a text file including a key value map of the identified elements. A computer generates a scaffold of a unit test case, based on the key value map.

Abstract: Mitigating mistranscriptions resolves errors in a transcription of the audio portion of a video based on a semantic matching with contextualized data electronically garnered from one or more sources other than the audio portion of the video. A mistranscription is identified using a pretrained word embedding model that maps words to an embedding space derived from the contextualizing data. A similarity value for each vocabulary word of a multi-word vocabulary of the pretrained word embedding model is determined in relation to the mistranscription. Candidate words are selected based on the similarity values, each indicating a closeness of a corresponding vocabulary word to the mistranscription. The textual rendering is modified by replacing the mistranscription with a candidate word that, based on average semantic similarity values, is more similar to the mistranscription than is each other candidate word.

Abstract: Computer-based provision of recommendations includes determining an item of interest to a user and a geographic region of the user. The item, as available from different e-commerce websites (websites) of geographic regions that are different from the geographic region of the user are aggregated within blockchain. Social network data for the user is retrieved and processed using natural language processing to determine contacts of the user located in the geographic regions of the websites. A likelihood of each contact traveling to the geographic region of the user is determined based on the social networking data. A website is selected that offers the item and that corresponds to a geographic region of a selected contact. The selected contact of the user has at least a minimum likelihood of traveling to the geographic region of the user. The selected website is presented to the user as an option for obtaining the item.

Abstract: A recombinant immune cell expresses a heterologous IgG Fc receptor. In some embodiments, the heterologous IgG Fc receptor can be a chimeric IgG Fc receptor. Generally, the chimeric IgG Fc receptor includes an extracellular domain, a transmembrane domain, and an intracellular domain. The extracellular domain generally includes a sufficient portion of CD64 to bind to an IgG Fc region. The intracellular domain of the chimeric IgG Fc receptor includes a sufficient portion of an Fc receptor allowing immunoreceptor tyrosine-based activation motif (ITAM) to initiate cell signaling when an IgG Fc region binds to the extracellular domain.

Abstract: A method of monitoring building compliance with healthy building guidelines includes obtaining current parameter values for a plurality of different parameters from a plurality of sensors disposed within a plurality of different zones of a building. For each of the parameters, the current parameter value received from each of the plurality of different zones is compared with a corresponding healthy building range for that parameter as specified by the healthy building guidelines. A healthy building dashboard is displayed that includes a summary that shows, for each of the plurality of different parameters, how many zones of the plurality of different zones of the building are within the corresponding healthy building range for that parameter and/or how many zones of the plurality of different zones are not within the corresponding healthy building range for that parameter.

Abstract: A computer-implemented method for avatar rendering of virtual presentations is disclosed. The computer-implemented method includes extracting visual content from a presentation. The computer-implemented method further includes extracting audio content from the presentation. The computer-implemented method includes correlating the visual content with the audio content of the presentation. The computer-implemented method includes generating a virtual avatar to dynamically render a virtual presentation to a viewer, based at least in part, on the correlated visual content and audio content of the presentation.

Abstract: Generating safety level scores of travel parking spots by an AI model trained by supervised learning using labeled online source data and static and dynamic IoT data, determining a current location and travel route of a vehicle, identifying potential travel parking spots within the geospatial area of the current location and travel route of the vehicle, receiving data from online sources and static and dynamic data of IoT devices in the vicinity of the travel parking spots, generating by the AI model, safety level scores for the travel parking spots within a geospatial area of the vehicle, and sending a listing of the safety level scores to a computing device associated with the vehicle.

Abstract: A computer implemented method processes alerts. A computer system creates a representation of an alert received for processing. The computer system determines a similarity of the alert with previously processed alerts using the representation of the alert and representations of the previously processed alerts. A first evaluator in the computer system evaluates an alert level for the alert based on previously processed similar alerts in response to the similarity being above a similarity threshold for similar alerts. A second evaluator in the computer system evaluates, the alert level for the alert using a machine learning model in response to the similarity not being above the similarity threshold.

Abstract: Disclosed herein are various embodiments a code simplification system. An embodiment operates by determining that a software version of a coordinator node is different from a software version of one or more worker nodes, Commits by the one or more worker nodes to a database are disabled based on the determination that the software versions differ. An update is performed on each of the one or more worker nodes. An acknowledgement that the update on each of the one or more worker nodes has completed is received, and the commits to the database by the one or more worker nodes is enabled.

Abstract: A valve capsule assembly for a well includes a body including a first end, a second end, a cavity, and an exterior surface. The body is sized for positioning inside a bore of a casing. A sealing element is coupled to the exterior surface of the body and is configured for sealing with an interior surface of the casing. A cone is movably disposed in the cavity of the body between the sealing element and the second end of the body. A slip coupled to the exterior surface of the body and is movable between a deactivated configuration and an activated configuration, in which the slip is configured to expand and engage with the interior surface of the casing. When the cone is in a first position, the slip is in the deactivated configuration and when the cone is in a second position, the slip is in the activated configuration.

Abstract: A method of generating a virtual reality (“VR”) experience includes detecting, using external sensors, a real-world spectator that is in a spectator space that is adjacent to a user that is wearing a VR headset and experiencing a VR space. The method also includes detecting a real-world physical state of the spectator, and rendering, in response to detecting, the spectator in the VR space as an avatar that reflects the real-world physical state of the spectator.

Abstract: Systems, methods and/or computer program products for managing the temperature of datacenter during a period of malfunction or inoperability of the cooling system responsible for maintaining temperatures within the datacenter. Temperatures of the datacenter's computing systems are monitored by thermal imaging systems and/or sensors. Computing systems are also monitored for how frequently the systems are accessed during a defined period of time and the number of mission critical deployments by each computing system. Collected parameters, including temperature, frequency of access and number of running mission critical applications are imputed into a scoring algorithm which uses the collected parameters and weightings to generate a ranking of computing systems to shutdown sequentially in response to rising temperatures.

Abstract: A system includes detection of a first allocation of a first memory size in an object store for storage of a first logical page, in response to detection of the first allocation, incrementing a count associated with the first memory size by a first data structure associating a respective count with each of a plurality of memory sizes, detection of a first deallocation of the first logical page, in response to detection of the first deallocation, decrementing a count associated with a second one of the plurality of memory sizes by the first data structure, and determination of a memory usage associated with the object store based on the counts associated with each of the plurality of memory sizes by the first data structure wherein the second one of the plurality of memory sizes is different from the first memory size.

Abstract: A system and method for automated video generation for training machine and deep learning algorithms in aviation environments generates photorealistic digital human characters and an aviation environment according to a desired scenario, including fixtures, free objects, lighting and physics configurations, and camera views. Character actions in the desired scenario are mapped to pose sequences which may be manually generated or transferred from image sequences of human activities, including both main character activities specified by the scenario, characters responding to the main characters, and background character actions. A video automation pipeline animates character actions performed by the digital human characters into video datasets with annotation files incorporating detailed pixel and depth information for each frame. Video datasets may include variant video datasets differentiated from the primary dataset by changes in domain variants (e.g.

Abstract: A distributed resource may be mapped into a virtual network, where the resource is distributed across a large number of nodes that are uniquely addressable within the distributed resource service's address space. The resource can be represented using a relatively small number of private VIP addresses within the virtual network, while still enabling access to all of the nodes that are uniquely addressable within the address space of the distributed resource service. A resource map may be created that relates the distributed resource service's address space to the virtual network's address space. The resource map may be used by a gateway that facilitates access to a distributed resource by clients. The resource map may also be used to translate packets that are sent from clients within a virtual network into the distributed resource service's address space.

Abstract: A method includes determining a presence of one or more people around a user and determining, based on the presence of the one or more people, an exposure level. The method also includes receiving a message for the user, the message comprising a first portion and a second portion and removing, based on the exposure level, the first and second portions from the message to produce a first message. The method further includes removing, based on the exposure level, the first portion from the message to produce a second message and presenting, based on the exposure level, the first message to the user. The method also includes receiving, from the user, feedback about the first message and presenting the second message to the user in response to the feedback.

Abstract: Methods, computer program products, and systems are presented for warranty tracking and transactions based on usage metrics by use of blockchain. The methods include, for instance: obtaining a usage report of an IoT device in a predefined format. The usage report is recorded in a blockchain network, and a warranty balance, also recorded in the blockchain network, is updated in the amount corresponding to the usage report on the IoT device. A warranty claim is resolved based on records of the usage report and the warranty balance for the IoT device as recorded in the blockchain network.

Abstract: A computer-implemented method, a computer system and a computer program product manage disruption between activities in a common area environment. The method includes capturing activity data from the common area environment, where the activity data is selected from a group consisting of: video data, audio data and biometric data and text data. The method also includes identifying a plurality of current activities in the activity data. Each current activity is associated with a device and includes a context with respect to other current activities in the plurality of current activities. In addition, the method includes determining a disruption score for each current activity in the plurality of current activities based on the context with respect to the other current activities. Lastly, the method includes transmitting a notification response to the device associated with a current activity when the disruption score for the current activity is above a threshold.

Abstract: Presenting content history to a user added to a group chat may include: receiving a request from a user to join an existing group chat session, wherein the requesting user is associated with user data describing the requesting user’s persona; performing an analysis of content of the group chat session prior to the requesting user joining the group chat session; and adding the requesting user to the group chat session, including: generating a modified version of the content of the group chat session based on the content analysis and the user data; and presenting the modified version of the content of the group chat session to the requesting user.