Abstract: Disclosed embodiments provide techniques for analyzing a semantic priority of an activity utilizing computing resources, and provides mitigation actions to resolve resource shortages in real-time. The computing resources can include network bandwidth usage, as well as processing cycles, memory usage, and/or other shared computing resources. Disclosed embodiments perform a semantic priority analysis of user activities. The semantic priority analysis can include utilizing natural language processing (NLP), analysis of a user calendar, and/or additional application data to infer a semantic priority. When computing resources such as network bandwidth exceed a predetermined level, then a mitigation action is executed, enabling the computing resources to be reduced while still allowing the higher priority activities (e.g., work and school) to continue.

Abstract: The present invention relates to a synergistic formulation comprising the essential oils of plants from western Himalayas, which have versatile medicinal properties. The present invention also relates to a process for development of synergistic value added anti-acnes products using the essential oils from these plants of western Himalayas. The developed synergistic formulation is useful in inhibiting different P. acnes strains thereby exhibiting antibacterial activity.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can in response to receiving content, dynamically determining validity of received content. Embodiments of the present invention can then, in response to an determining the validity of received content, altering the received content prior to transmitting the received content to a user.

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 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: According to one embodiment, a method, computer system, and computer program product for transmitting data from a set of edge devices is provided. The embodiment may include identifying one or more Internet-of-Things (IoT) devices within a structure. The embodiment may include combining the identified one or more IoT devices into one or more groups. The embodiment may include identifying a respective primary device for each group of the one or more groups. The embodiment may include deploying a tiny machine learning (ML) model on each identified respective primary device. In response to detection of an event within the structure by a group of the one or more groups, the embodiment may include utilizing the tiny ML model of a primary device of the group to select one or more other groups for activation.

Abstract: A computer implemented method and system are disclosed for dynamically enabling a first user device operated by a first user to provide wireless hotspot capability for a wireless hotspot session to a second user device operated by a second user. The wireless hotspot session is accepted based at least on urgency and bandwidth requirement of the second user device. When the first user device accepts a connection to the second user device to provision a wireless hotspot for the wireless hotspot session, the first user restricts use of the second user device in the wireless hotspot session, based on bandwidth and context of use of the second user device. The first user device may refuse a connection by rejecting the wireless hotspot session request. wireless hotspot session transactions information is provided as blockchain ledgers.

Abstract: A method includes generating dataset using topics associated with historical records, the dataset including pairs of data that are formed based on the topics, each of the pairs of data including an antecedent topic associated with a historical record corresponding to a preceding event and a consequent topic associated with a historical record corresponding to an event that occurred after the preceding event, the antecedent topic and the consequent topic forming a transitive relation for each of the pairs of data; inputting, into ML model, the pairs of data and input topic associated with a record of a user; generating, by the ML model, a prediction of a next record topic for a next record corresponding to the user, based on the consequent topic included in each of the pairs of data that include the antecedent topic corresponding to the input topic; and outputting the prediction.

Abstract: A computer-implemented method includes: obtaining a record including text narration; inputting the text narration into an NLP model; generating, by the NLP model, encoded narration based on the text narration; determining similarity index between the encoded narration and each of encoded reference topics; comparing the similarity index between the encoded narration and each encoded reference topic to similarity threshold; and determining whether the similarity index between the encoded narration and each encoded reference topic is equal to or greater than the similarity threshold. When the similarity index is equal to or greater than the similarity threshold, a corresponding reference topic is added to a result group, and, when the similarity index is less than the similarity threshold, the corresponding reference topic is left out of the result group.

Abstract: A method is provided for dynamic authorization based on execution path status. The method includes identifying a plurality of execution paths in prior authorization data, in which each execution path contains a plurality of nodes. The identified plurality of execution paths are ranked according to probability. At least part of a most probable execution path from among the ranked plurality of execution paths is determined for a current user based on a current node. Node access authorizations are automatically generated based on the at least part of the determined most probable execution path.

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 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.