Abstract: Aspects of the invention include computer-implemented methods, systems, and computer program products that access a multi-copy scope directory state of a cache memory that indicates a scope of sharing of a cache line in a cache memory system and determine a scope of sharing of the cache line in the cache memory system based on the multi-copy scope directory state, where the multi-copy scope directory state enumerates a plurality of scopes within the cache memory system. The scope of sharing is used to reduce a number of queries to one or more cache memories having a larger scope than a shared scope identified in the scope of sharing. The multi-copy scope directory state of the cache memory is updated based on detecting a change in shared scope of the cache line within the cache memory system.

Abstract: Weather data, asset variable values, and failure data may be received. A correlation factor may be generated by comparing the weather data and the asset variable values. One or more weather variables may be selected based on the correlation factor. A predicted asset variable value may be determined based on the weather data and the selected weather variables. The weather data and the predicted asset variable values may be compared to predict a failure probability for a first asset segment.

Abstract: Training corpus refinement and incremental updating includes obtaining a training corpus having training samples, refining the training corpus to produce a refined training corpus of data, by applying to the training corpus overlap and noise reduction treatments, maintaining an incremental intelligence database based on filtered user feedback and having candidate feedback training samples to augment the refined training corpus, controlling integration of the candidate feedback training samples with the refined training corpus, and augmenting the refined training corpus with at least some of the candidate feedback training samples to produce an augmented training corpus.

Abstract: In an approach to automatically reclassifying files in an HSM system, responsive to occurrence of a recall to move a file on a hierarchical storage system from a secondary storage to a primary storage, whether stub metadata exists for the file is determined. Responsive to determining that stub metadata exists for the file, whether reclassification of the file is necessary is determined based on the stub metadata. Responsive to determining that the reclassification of the file is necessary, the file is reclassified, where the reclassification uses a latest classification model, and further where the stub metadata is updated with results of the reclassification. The file is migrated from the primary storage to the secondary storage based on the stub metadata.

Abstract: Systems and methods are provided that facilitate high-sensitivity, carrier-resolved photo-Hall effect measurements. Majority and minority carrier properties can be measured and determined simultaneously. In one aspect, a system and method determine majority carrier type, density and mobility and, with modulated illumination, minority carrier mobility and photocarrier density. In another aspect, a system and method can determine hole and electron mobility, photocarrier density, absorbed photon density, recombination lifetime and diffusion length for hole, electron and ambipolar transport.

Abstract: A method, apparatus, system, and computer program product for managing time-based elements. A computer system identifies the time-based elements, wherein the time-based elements have time units. The computer system arranges the nodes, representing the time-based elements, in a temporal node tree, wherein the nodes have the time units from corresponding time-based elements and a policy that defines scaling of the nodes based on the time units allocated to the nodes.

Abstract: A method, computer system, and a computer program product for dynamic data visualization is provided. The present invention may include identifying at least one set of facts in a human-readable text document. They present invention may then include retrieving, from an information source, a dataset associated with the at least one identified set of facts. The present invention may also include, in response to determining that the retrieved dataset includes a fact-supporting dataset, wherein the fact-supporting dataset is configured to validate the at least one identified set of facts, generating at least one data visualization based on the retrieved dataset. The present invention may further include providing the at least one generated data visualization for inserting into the human-readable text document to support the at least one identified set of facts.

Abstract: A computer implemented method is used for sorting data elements of a given set. The method includes performing an evaluation of a first type of usage of each data element. The method includes determining a set of data element candidates dependent on the evaluation of the first type of usage. The method includes performing an evaluation of a second type of usage of each data element of the set of data element candidates. The method includes sorting the data elements of the set of data element candidates dependent on the evaluation of the second type of usage of each data element of the set of data element candidates. The method includes providing the sorted data elements of the set of data element candidates, and in response, receiving a request for a data processing based on the provided sorted data elements of the set of data element candidates.

Abstract: Embodiments for analyzing language content are provided. An ambiguous sentence is identified. A first word and a second word within the ambiguous sentence are selected. At least one synonym outlier for the first word and at least one synonym outlier for the second word are determined. A phrase is generated utilizing the at least one synonym outlier for the first word and the at least one synonym outlier for the second word. A context for the ambiguous sentence is determined based on the generated phrase.

Abstract: An embodiment includes a method for use in managing a system comprising one or more computers, each computer comprising at least one hardware processor coupled to at least one memory. The method comprises a computer-implemented manager: detecting that the system is in an unhealthy state; determining a set of one or more possible actions to remedy the unhealthy state of the system; selecting at least one action of the set of one or more possible actions; and constructing a service request implementing the selected at least one action; wherein at least one of the detecting, determining, selecting, and constructing is based at least in part on applying a reinforcement learning algorithm.

Abstract: An energy storage device sits within a trench with electrically insulated sides within a substrate. Within the trench there is an anode, an electrolyte disposed on the anode, and a cathode structure disposed on the electrolyte. Variations of an electrically conductive contact are disposed on and in electrical contact with the cathode structure. At least part of the conductive contact is disposed within the trench and the conductive contact partially seals the anode, electrolyte, and cathode structure within the trench. Conductive and/or non-conductive adhesives are used to complete the seal thereby enabling full working electrochemical devices where singulation of the devices from the substrate enables high control of device dimensionality and footprint.

Abstract: A computer-implemented method, system, and computer program product for generating an aggregated user interface display. The aggregated user interface display includes a physical display of a computing device and a projected display from an electronic pen. Operator interactions with the aggregated user interface display are saved as historical information. The historical information is used to determine a configuration for the aggregated user interface display. The computing device and the electronic pen are controlled to implement the configuration for the aggregated user interface display.

Abstract: A system and method for storage checkpointing to a group of independent computer applications. The system has a storage disk that stores files; a storage access interface to access the storage disk; and a computer. The computer runs the group of independent computer applications and utilizes the files stored on the storage disk. A file system on the server accesses the files stored on the storage disk. An operating system and at least one device driver can be called by the file system, and at least one buffer buffers first data written to the storage disk and second data read from the storage disk.

Abstract: An approach is described with respect to functional age analysis. A method pertaining to such approach may include receiving sensor data collected on a plurality of individuals via a plurality of sensor devices. The method further may include constructing an age indices model by applying machine learning to the collected sensor data. The method further may include determining one or more functional age indices for a subject individual by applying the age indices model to profile data associated with the subject individual. In an embodiment, the method further may include transmitting the one or more functional age indices determined for the subject individual to a professional or a knowledge base, and receiving and processing one or more prescribed recommendations for the subject individual. According to such embodiment, the method further may include updating the age indices model based upon feedback received with respect to the one or more prescribed recommendations.

Abstract: Systems and methods for monitoring current anomaly are described. In an example, a device can measure first current flowing along a first liner between an instrument to an equipment. The device can measure second current flowing along a second line between the equipment to the instrument. The device can compare the measurements of the first current and the second current. The device can identify a presence of current anomaly based on the comparison of the measurements of the first and second currents. The device can, in response to the presence of the current anomaly, disconnect the instrument from the equipment.

Abstract: A method of salvaging an output is provided. The method includes defining a condition for terminating a run of a tool, checking whether the condition is likely to be met during a running of the tool, terminating the running in an event the condition is likely to be met, checking a validity of an incomplete output of the tool generated during the running and finalizing the incomplete output in an event the incomplete output is valid.

Abstract: An example operation may include one or more of generating, by a first blockchain client, a transaction to a blockchain network to transfer a document, transferring over a private channel, by a second blockchain client, a first key to the first blockchain client, the private channel providing a point-to-point connection between the first and second blockchain clients, encrypting the document using a shared key, transferring, by the first blockchain client, the encrypted document over the private channel, generating, by the second blockchain client, a transaction to acknowledge receipt of the encrypted document, and transferring the shared key encrypted with the first key.

Abstract: A true random number generator (TRNG) device having a magnetic tunnel junction (MTJ) structure coupled to a domain wall wire. The MTJ structure is formed of a free layer (FL) and a reference layer (RL) that sandwiches a tunnel barrier layer. The free layer has anisotropy energy sufficiently low to provide stochastic fluctuation in the orientation of the magnetic state of the free layer via thermal energy. The domain wall wire is coupled to the MTJ structure. The domain wall wire has a domain wall. Movement of the domain wall tunes a probability distribution of the fluctuation in the orientation of the magnetic state of the free layer. The domain wall can be moved by application of a suitable current through the wire to tune the probability distribution of 1's and 0's generated by a readout circuit of the TRNG device.

Abstract: Techniques that facilitate matrix factorization associated with graphics processing units are provided. In one example, a system includes a first graphics processing unit, a second graphics processing unit and a central processing unit. The first graphics processing unit processes a first data block of a data matrix associated with a matrix factorization system to generate first information for the matrix factorization system. The second graphics processing unit processes a first portion of a second data block of the data matrix separate from a second portion of the second data block to generate second information for the matrix factorization system. The central processing unit processes a machine learning model for the matrix factorization system based on at least the first information provided by the first graphics processing unit and the second information provided by the second graphics processing unit.

Abstract: The present disclosure relates to a method for data replication in a data analysis system (100). A source database system (101) of the data analysis system (100) comprises a transaction log (106) storing log records generated by database transactions. The method comprises in response to determining (303) that a received log record is generated by a database transaction that rolls back a change of another database transaction whose log records are buffered in at least one record buffer, data indicative of a log record generated by the other database transaction buffering (305) in the compensation buffer tag data. The tag data may be used (311) for replicating to a target database system of the data analysis system buffered log records of the record buffer which are not marked as compensation records.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for generating search results based on access control of a requesting user. The method includes one or more processors receiving a search query from a user. The method further includes generating a first candidate list of search results based on the received search query. The method further includes generating a second candidate list of search results based on the received search query. Generating the second candidate list of search results includes filtering out potential search results based on indexed access privilege data. The method further includes determining a subset of search result entries in the first candidate list by analyzing a defined number of search result entries in the first candidate list. Analyzing the defined number of search result entries includes attempting to access entries of the defined number utilizing access credentials of the user.

Abstract: A security application may monitor applications attempting to be installed on a user device. In one example, various steps may include at least one of: receiving an application access operation on a computing device, identifying at least one application action associated with the application access operation, retrieving an application security profile stored in memory, identifying at least one application security restriction in the application security profile related to the at least one application action, restricting the at least one application action from occurring based on the at least one application security restriction and notifying a pre-registered device responsive to restricting the at least one application action.

Abstract: A method and system are provided. The method includes providing an actionable business entity operating model. The method further includes extending the actionable business entity operating model to drive user interface behavior on a user interface device having at least a display device, by extending class and property meta classes of the actionable business entity operating model to include user interface behavior semantics. The extending step includes configuring the user interface behavior semantics to be responsive to an operation state of the actionable business entity operating model.

Abstract: Techniques regarding error detection in one or more generated signals based on one or more signal-to-noise ratios are provided. For example, one or more embodiments described herein can include a system, which can include a memory that can store computer executable components. The system can also include a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can include a signal analysis component that can determine a signal-to-noise ratio associated with a generated signal, wherein the signal-to-noise ratio incorporates a signal value based on a reference signal and a noise value based on a difference between the reference signal and an acquired signal.

Abstract: A method and system for improving memory reorganization and storage technology is provided. The method includes configuring data capture settings of a database system resulting in configured data capture settings. Data objects associated with a user are retrieved and stored in a database. Overlapping data elements of the data objects are determined and associated collaboration data model software code is generated. A request for first data is received and mapped to the data objects. A clone data object associated with the first data object is generated with respect to the overlapping data elements.

Abstract: Data refresh in a replication environment is provided by: reading, by a data services component of a replication environment as part of a data refresh operation, a data store and identifying refresh data, from a source object of source objects of the data store, that is to be provided to a target system, where the data services component is further configured to read a replication log into which changes to source object(s) of the source objects are recorded, and send the changes as change data records to a capture service; and retrieving, by the data services component, the refresh data from the source object and sending the refresh data as refresh data records to the capture service, where the capture service is configured with data record handling routines for applying to received change data records and to the received refresh data records.

Abstract: A method, computer system, and a computer program product for discussion relevance feedback associated with an electronic meeting is provided. The method may include determining a meeting topic associated with the electronic meeting and receiving audio data recording the vocal interactions of one or more meeting attendees. The method may further include generating a textual representation of the received audio data and then identifying a current discussion topic based on the generated textual representation. The method may further include determining a semantic distance between the identified current discussion topic and the determined meeting topic and generating discussion relevance feedback based on the determined semantic distance.

Abstract: According to one embodiment, a method, computer system, and computer program product for webpage replay is provided. The embodiment may include acquiring one or more commands each indicating changes of at least one virtual Document Object Model (DOM) node of a virtual DOM of a webpage corresponding to a timestamp for a session. The embodiment may include determining one or more virtual DOM differentials corresponding to respective timestamps for the session based on the one or more commands and a first data dictionary. The first data dictionary is created based on a base virtual DOM of the webpage including a plurality of virtual DOM nodes. The embodiment may include generating one or more patched virtual DOMs of the webpage corresponding to respective timestamps for the session. The embodiment may include replaying the webpage for the session based on the base virtual DOM and the patched virtual DOMs.

Abstract: According to one or more embodiments of the present invention, a computer implemented method includes enabling, by a secure interface control of a computer system, a non-secure entity of the computer system to access a page of memory shared between the non-secure entity and a secure domain of the computer system based on the page being marked as non-secure with a secure storage protection indicator of the page being clear. The secure interface control can verify that the secure storage protection indicator of the page is clear prior to allowing the non-secure entity to access the page. The secure interface control can provide a secure entity of the secure domain with access to the page absent a check of the secure storage protection indicator of the page.

Abstract: Semiconductor channel layers vertically aligned and stacked, separated by a work function metal and a gate dielectric partially surrounding and physically separating the work function metal from each, a first portion of the work function metal directly contacts a vertical sidewall of each layer. A first set and a second set of semiconductor channel layers vertically aligned and stacked, separated by a work function metal, a gate dielectric partially surrounding and physically separating the work function metal from each, a first portion of the work function metal between the first set and the second set directly contacts a sidewall of each layer. Forming an initial stack of alternating layers of a sacrificial and a semiconductor channel vertically aligned and stacked, forming a vertical opening creating a first stack of nanosheet layers and a second stack of nanosheet layers, and exposing vertical side surfaces of the alternating layers of both stacks.

Abstract: Embodiments for storage resource utilization analytics using metadata tags by a processor. Storage capacity utilization in the plurality of heterogeneous storage systems may be determined using one or more events indexed into a centralized search index.

Abstract: Techniques for inserting and extracting geolocation data using spatial indexing in a key value database are provided. In an embodiment, a system is provided for generating one or more geohashes for a geometry object, wherein the one or more geohashes comprises encoded bits that are stored as keys in a key value database. In one example, the system comprises a geometry indexing component that generates a spatial index, wherein the spatial index is based on a total number of the encoded bits generated for the one or more geohashes. In one example, the system comprises a geometry storing component that stores the geometry object and the one or more geohashes in the key value database using the spatial index to allow for faster retrieval of the geometry object. The advantage is that properly inserted and indexed spatial data can be quickly retrieved.

Abstract: One embodiment provides for a method including performing, by a processing thread, a process that analyzes transactional operations by maintaining the transactional operations in transaction local side logs, and waiting until a successful transaction commit to append the transaction local side logs to a log stream. The processing thread processes the transactional operations on a key used to determine whether existing data is found for the key. The transactional operations are sped up through parallelism based on partitioning tables across nodes handling the transactional operations. A first process is performed by a first processor that processes updates for values of a key based on updating a first start time table index using unique keys and a start time field of a row for a first appearance of each unique key from the transactional operations.

Abstract: A memory device includes two phase change memory (PCM) cells and a bridge. The first PCM cell includes an electrical input and a phase change material. The second PCM cell includes an electrical input that is independent from the electrical input of the first PCM cell and another phase change material. The bridge is electrically connected to the two PCM cells.

Abstract: A method, computer program product, and/or system is provided for generating a resultant digital replica model, comprising: accessing a plurality of digital replica models; receiving a selection of components associated with a first digital replica model of the plurality of digital replica models; receiving a selection of components associated with a second digital replica model of the plurality of digital replica models; generating a resultant digital replica model based at least in part on the selection of components associated with the first digital replica model and the selection of components associated with the second digital replica model; and simulating physical operations based on the resultant digital replica model.

Abstract: A profile associated with a user that has unintentionally disconnected from an electronic conference is determined. Content missed by the user is determined. A determination is made whether the content missed by the user is relevant to the user based on the determined profile associated with the user and an indicated preference of the user. In response to determining that the content missed by the user is relevant to the user, the content missed by the user is transmitted to a computing device of the user.

Abstract: Generating rules to automatically extract linguistic patterns from documents is provided. A first plurality of linguistic pattern extraction rules corresponding to a user-selected text example from a document is generated according to a first abstraction rule of a plurality of abstraction rules. Each respective linguistic pattern extraction rule of the first plurality of linguistic pattern extraction rules having a first identified level of abstraction. The first plurality of linguistic pattern extraction rules ordered by the first identified level of abstraction is presented in a first list to a user via a user interface. A selection of one particular linguistic pattern extraction rule is received from the first list by the user via the user interface. That one particular linguistic pattern extraction rule selected by the user is applied to the document to automatically extract user-desired linguistic patterns similar to the user-selected text example from the document.

Abstract: A processor may receive a microservice chain. The processor may analyze the microservice chain for one or more microservices in the microservice chain that include deducible information. The processor may trigger, from the deducible information, a deduced microservice. The processor may process the deduced microservice. The processor may cache an outcome from the deduced microservice.

Abstract: An adjunct processor dynamically determines, on a per-command basis, whether commands obtained by the adjunct processor are to be processed by the adjunct processor. The adjunct processor obtains a command request of a requester. The command request includes at least one filtering indicator indicating at least one valid command type for processing by the adjunct processor for the requester. The adjunct processor determines using the at least one filtering indicator whether a command of the command request is valid for processing by the adjunct processor for the requester. Based on determining that the command is valid for processing by the adjunct processor, the command is processed by the adjunct processor.

Abstract: A computer-implemented method for a multi-tenant integration environment includes, in response to an error occurring during a state of execution of an integration flow, generating error data for the error. The method further includes associating the generated error data with the error. The method further includes storing the generated error data in a data storage component. The generated error data includes (i) error state information corresponding to the state of execution of the integration flow and (ii) target state information corresponding to a target state of execution of the integration flow.

Abstract: A method for automatically reducing the dimensionality of a mathematical representation of a controlled application system is provided. The method includes receiving, at a control system, data corresponding to control action and system state variables relating to the controlled application system, fitting a constrained reinforcement learning (CRL) model to the controlled application system based on the data, and automatically identifying a subset of the system state variables by selecting control action variables of interest and identifying system state variables that drive the CRL model to recommend each control action variable of interest.

Abstract: A light detection and ranging (LiDAR) system is provided. The LiDAR system includes an emitter for emitting a light beam, a configurable light processing control unit to affect the light beam, a receiver for receiving the light beam and a computer system. The computer system controls operations of the light processing control unit, computes a distance to a target using a time of flight of the light beam from the emitter to the target and from the target to the receiver and simultaneously corroborates the computed distance by controlling the operations of the light processing control unit to focus and defocus the light beam.

Abstract: Guided exploration of data is provided. A semantic graph corresponding to a dataset is generated using identified relations among columns of the dataset that are identified based on mapping the columns to main concepts in a generic ontology. A subgraph of the semantic graph is formed based on identification of nodes corresponding to relevant central concepts within the semantic graph using graph centrality metrics. A plurality of paths is identified in the subgraph using a bi-directional multiple hop search from the nodes corresponding to the relevant central concepts in the subgraph. A relevance score is assigned to each path in the plurality of paths using a graph-theoretic metric and the graph centrality metrics. A set of natural language questions based on relevant central concepts and concept relations corresponding to nodes in each respective path with an assigned relevance score greater than a minimum threshold score is output to the user.

Abstract: A computer-implemented method for determining an evaluation metric value for a multi-class classifier with unknown labels may be provided. The method comprises providing a trained classifier system for classifying input data vectors resulting in a plurality of result label values and respective probability vectors, predicting, based on received input data vectors, result label values and respective probability vectors, and receiving feedback data comprising respective feedback label values. The method comprises also mapping each of the feedback label values to a respective highest probability dimension value of the related probability vector resulting in an index map, and determining, based on the index map, an evaluation metric value for the quality of the trained classifier system.

Abstract: Disclosed aspects relate to query plan management associated with a shared pool of configurable computing resources. A query, which relates to a set of data located on the shared pool of configurable computing resources, is detected. A virtual machine includes the set of data. With respect to the virtual machine, a set of burden values of performing a set of asset actions is determined. Based on the set of burden values, a query plan to access the set of data is established. Using at least one asset action of the set of asset actions, the query plan is processed.

Abstract: A trans-boundary water resource usage detection method, system, and computer program product, including predicting an estimated water usage by an upstream administrative region using a machine learning model and a tracked water usage, detecting an excess water usage when the estimated water usage exceeds a contracted usage value by more than a threshold value by executing a smart contract on blockchain, and penalizing, via a token exchange in blockchain, the upstream administrative region for the excess water usage by executing the smart contract on blockchain.

Abstract: An impact-modified composition and a method of making an impact-modified composition are provided. In an embodiment, the method includes reacting a phosphazene material with an acrylamide material to form a functionalized phosphazene material; initiating a polymerization reaction on a reaction mixture comprising the functionalized phosphazene material and one or more monomers to form an impact-modified phosphazene material; and adding the an impact-modified phosphazene material to a polymeric material.

Abstract: An example operation may include one or more processing transactions of a plurality of blocks of a blockchain of the blockchain network to determine a user of a plurality of users that is a party of the respective transaction and a mining pool of one or more mining pools that included the respective transaction in the blockchain, performing a statistical analysis of the transactions to determine if the transactions of a user of the plurality of users is distributed across the one or more mining pools in a statistically expected manner, determining that the user has a special relationship with one or more of the one or more mining pools if the transactions of the user are not distributed across the mining pools in a statistically expected manner, and for a user that is determined to have a special relationship, determining one or more of the mining pools with which the determined user has a special relationship.

Abstract: An example operation may include one or more of receiving data from a plurality of sources associated with an entity, clustering the data into security-related topics, determining, via one or more machine learning models, maturity values of the entity for the security-related topics, respectively, and generating recommendations to improve the determined maturity values of the entity, wherein the maturity values relate to a level of security of the entity with respect to the security-related topics.

Abstract: A computer-implemented method for creating a classified token database usable for dynamically redacting confidential information from communications includes performing natural language processing on training input and determining whether a confidentiality level is present in the training input. The method includes, in response to determining that the confidentiality level is present, adding at least one classified token associated with the training input to a classified token database.