Abstract: A project management platform may train a machine learning model with historical project data to generate a trained machine learning model that determines or analyzes a release schedule of a project. The project management platform may receive new project data identifying project information associated with a new project. The project management platform may perform natural language processing on the new project data to convert the new project data to processed new project data. The project management platform may receive resource data identifying resource availability for the new project. The project management platform may process, using the trained machine learning model, the processed new project data and the resource data to determine release information for the new project, wherein the release information includes a release schedule for the new project. The project management platform may perform, according to the release schedule, an action associated with the release information.

Abstract: A method and a system for generating data bearer mappings are provided. The method includes collecting node information from a radio access node, the node information includes resource sets operating within the radio access node. The method further includes receiving a bearer channel of a user equipment from the radio access node. The bearer channel includes a quality of service class identifier level. The method also includes connecting to the bearer channel that is transmitting data related to the user equipment and generating an insight that is based on the data and the QCI level of the user equipment. The method further includes determining a bearer mapping for the radio access nodes by analyzing node information and the insight. The bearer mapping is then transmitted to the radio access node.

Abstract: Bacteria-responsive core-shell nanofibers and a process for the preparation thereof are described. The nanofibers release of an antibacterial agent in response to the presence of bacteria. The core of the nanofiber comprises a biocompatible polymer together with an antibacterial agent such as a quaternary ammonium compound, for example benzyl dimethyl tetradecyl ammonium chloride (BTAC). Surrounding the core is shell comprised of a bacterially degradable polymer, which is susceptible to break-down by bacterial enzymes such as lipase, or to acidic pH conditions. The shell may comprise, for example, polycaprolactone (PCL) and poly(ethylene succinate) (PES). The nanofibers may be incorporated into wound dressings.

Abstract: Systems and methods for recommending and implementing network documents for users to offer items in a marketplace may be provided. A system can obtain user data that includes an item offered by a user in a first electronic marketplace. For example, the system can identify and catalog items offered by a particular user. The system can identify a second electronic marketplace for the user to offer the item. The system can determine implementation information for the second electronic marketplace. The system can generate a network document for the at least one item that is configured to be presented in the second electronic marketplace based at least in part on the implementation information.

Abstract: According to one embodiment, a method, computer system, and computer program product for adjusting tiering based on operation types in a multi-tier storage system is provided. The present invention may include retrieving an extent to be managed and operations associated with the extent; analyzing the operations of the extent to determine an IO pattern associated with the extent; receiving a list of storage devices within the multi-tier storage system; querying each storage device of the storage devices for suitable pattern types; selecting, based on the querying and the IO pattern associated with the extent, a suitable storage device; and transferring the extent to the suitable storage device.

Abstract: The present disclosure uses data analytics for consumer focused autonomous data delivery in a 5G (fifth generation cellular network technology) telecommunications network. Data usage information is received at a control system, and the data usage information includes information about data downloaded by users at a venue. The data usage information includes content information about the data downloaded, the data being downloaded using a 5G telecommunications network. The data usage information is analyzed to determine content delivery using a service orchestration layer of a 5G telecommunications network in concert with smart channel monitoring tools of compatible platforms. A predictive analysis is generated using the analysis of the data usage information. A data action is initiated pertaining to the content for downloading the content, based on the predictive analysis, before demand for the downloading of the content, to provide faster service to end users at the venue.

Abstract: An approach is provided in which a storage system detects that an extent residing on a first one of a set of physical storage devices requires relocation. The storage system identifies a set of backend connection properties of each of a set of backend connections between the storage system and the set of physical storage devices. The set of backend connection properties includes at least a connection bandwidth between the storage system and at least one of the physical storage devices. In turn, the storage system relocates the extent from the first physical storage device to a second one of the set of physical storage devices based at least in part, on the set of backend connection properties.

Abstract: A navigation system includes: a communication unit configured to receive vehicle environment information of a user vehicle for identifying a proximately located vehicle relative to the user vehicle during operation of the user vehicle; a control unit, coupled to the communication unit, configured to: determine proximate vehicle information of the proximately located vehicle, including a relative location and a relative distance from the user vehicle, from the vehicle environment information; and generate a navigation interface including a proximate vehicle representation of the proximately located vehicle and a user vehicle representation of the user vehicle on an interface map based on the relative location and the relative distance of the proximately located vehicle, wherein the proximate vehicle representation and the user vehicle representation are presented based on an interface scaled distance for displaying on a device.

Abstract: An approach is provided in which a storage system detects that an extent residing on a first one of a set of physical storage devices requires relocation. The storage system identifies a set of backend connection properties of each of a set of backend connections between the storage system and the set of physical storage devices. The set of backend connection properties includes at least a connection bandwidth between the storage system and at least one of the physical storage devices. In turn, the storage system relocates the extent from the first physical storage device to a second one of the set of physical storage devices based at least in part, on the set of backend connection properties.

Abstract: Embodiments are disclosed for a multi-tier storage system (MTSS). The techniques include identifying a first data extent stored in a first storage pool of MTSS based on a read-write heat mapping by the MTSS. The first data extent is associated with a mirrored volume. The first data extent is a mirrored copy of a second data extent stored in a second storage pool of the MTSS. The first storage pool is asymmetric to the second storage pool. The techniques also include determining that a second top promotion tier of the second storage pool is faster than a first top promotion tier of the first storage pool. The techniques further include promoting the second data extent to the second top promotion tier based on the determination. Additionally, the techniques include updating an I/O access policy to direct future I/O operations for the mirrored volume to the second data extent.

Abstract: A computer-implemented method, according to one embodiment, includes: maintaining a heat map monitoring table on a per volume basis for a plurality of volumes which includes a heat count for each data block in the respective volume. The data blocks in a first volume which are depended on by one or more other volumes of the plurality of volumes are identified, the first volume being specified in a deletion request. Moreover, the identified data blocks and the corresponding heat counts are copied to the respective one or more other volumes.

Abstract: A method, computer system, and a computer program product for blockchain based resource predictions and management is provided. Embodiments of the present invention may include receiving a request for a prediction of a future resource requirement. Embodiments of the present invention may include loading data structures. Embodiments of the present invention may include classifying collected data. Embodiments of the present invention may include predicting the future resource requirement. Embodiments of the present invention may include adjusting the priority of the future resource requirement. Embodiments of the present invention may include providing notifications.

Abstract: Systems and methods that offer significant improvements to current chatbot conversational experiences are disclosed. The proposed systems and methods are configured to manage conversations in real-time with human customers based on a dynamic and unscripted conversation flow with a virtual assistant. In one embodiment, a knowledge graph or domain model represents the sole or primary source of information for the virtual assistant, thereby removing the reliance on any form of conversational modelling. Based on the information provided by the knowledge graph, the virtual agent chatbot will be equipped to answer customer queries, as well as demonstrate reasoning, offering customers a more natural and efficacious dialogue experience.

Abstract: Embodiments are disclosed for a multi-tier storage system. The techniques include identifying a candidate extent stored in a first tier of a first storage pool of a multi-tier storage system (MTSS). The candidate extent is blocked from promotion because of a space constraint on a second tier. The techniques also include identifying a second tier of a second storage pool. The second tier provides faster input-output (I/O) access than the first tier provides. Additionally, the second pool includes available space to store the candidate extent. The techniques further include copying the candidate extent to the second tier of the second storage pool. The techniques also include generating a cross-pool mapping. The cross-pool mapping maps from a first address of the candidate extent in the first tier of the first storage pool to a second address of the copied candidate extent in the second tier of the second storage pool.

Abstract: Disclosed is a computer implemented method to manage queue overlap in storage systems, the method comprising, identifying, by a storage system, a plurality of queues including a first queue and a second queue. The storage system includes a plurality of cores, including a first core and a second core, and wherein the first queue is associated with a first host and the second queue is associated with a second host. The method also comprises, determining the first queue and the second queue are being processed by the first core. The method further comprises, monitoring the workload of each cores and identifying a load imbalance, wherein the loam imbalance a difference between a first workload associated with the first core, and a second workload associated with the second core. The method also comprises, notifying the second host that the load imbalance is present.

Abstract: Disaster recovery for a storage system is provided. A data record is generated for a primary computing system that identifies a secondary computing system and indicates a first storage device that includes block storage and a second storage device that includes object storage. The primary computing system experiences either a migration or a failover. Storage space is provisioned in block storage and object storage. Data records from the primary computing device are respectively stored in either the block storage or the object storage based on their respective access rates. Data records that are stored as block storage entries are predicted to have a higher access rates than data records that are stored as object storage entries.

Abstract: A device receives a command to identify an automation evaluation for a role, determines tasks of the role based on data relating to the role, and determines activities for the tasks based on the data relating to the role. The device determines one or more automation scores, which correspond to a suitability for automation of the activities, based on a set of characteristics of the activities and based on the data relating to the role. The automation scores are determined using a machine learning model to parse natural language descriptions of the activities and score parsed portions of the natural language descriptions. The device generates, for the role, an aggregate automation score based on the automation scores, determines the automation evaluation for the role based on the aggregate automation score and characteristics of an entity associated with the role, and performs an action relating to the automation evaluation.

Abstract: Systems, methods, and computer program products for a cognitive personalized channel on a computer network or telecommunications network, such as a 5G mobile communication network, which can be used for medical purposes to assist color-blind users and people afflicted with achromatopsia. The personalized channel can be a bidirectional channel capable of identifying color and serve as an enhanced medical service. The service operates by collecting collects inputs and streaming data, creates situation-based tags and embeds the tags on human-readable displays to assist users understanding of additional context of the streaming data that might otherwise not be understood due to the user's medical condition. The systems, methods and program products use the embedded tags to create a manifestation of the colors in images, videos, text and other collected visual streams by taking advantage of end-to-end service orchestration provided by 5G networks.

Abstract: An inlet diffuser for the fixed-bed reactor is disclosed. The inlet diffuser comprises a truncated cone adapted to receive a stream of gas-liquid mixture. The truncated cone includes at least one opening formed on a circumference of the truncated cone. Further, the inlet diffuser comprises a vertical baffle plate in each of the openings and at least one horizontal baffle coupled to the truncated cone to absorb momentum of the stream received by the truncated cone. Furthermore, it comprises a cylindrical chamber in fluid communication with the truncated cone and adapted to receive the stream from the truncated cone. The cylindrical chamber includes at least one slot to discharge the stream from the inlet diffuser and a splash plate is disposed at a bottom portion of the cylindrical chamber with apertures to discharge the stream from the inlet diffuser.

Abstract: The present invention provides a process for upgrading LCO to (i) high octane gasoline and high aromatic feedstock for aromatic complex, (ii) Utilization of FCC for cracking unconverted diesel range stream from hydrocracker to high octane gasoline. This invention discloses the process to improve the quality (e.g., RON, Sulfur) of gasoline by utilizing FCC and hydrocracking processes.