Abstract: Digital teaching content ordering includes receiving, by a data processing system, digital teaching content and any corresponding annotations and content heuristic(s) from a teacher or other presenter, the digital teaching content including text and/or image(s). The data processing system monitors student gaze of the digital teaching content during a class and can cognitively skip some of the digital teaching content during the class based on the monitored student gaze and content heuristic(s). The system can also cognitively modify the digital teaching content outside of class based, in part, on the monitoring and the content heuristic(s). A hypergraph of the digital teaching content may also be received, the cognitively skipping being further based on the hypergraph, and the cognitively modifying being further based on a heat map built using the hypergraph and the student gaze.

Abstract: Embodiments of the present systems and methods may provide a data access approval process that supports complex and fine-grained policies and can be applied to different data items at scale, which provides improvement over current technologies. For example, in an embodiment, a computer-implemented method for controlling access to data by computer systems may comprise generating an intermediate representation by integrating a combination of data access policies, data attributes including attributes per data subject, and the data itself to form the intermediate representation, receiving a request for access to the data, rewriting the request for access to the data to incorporate the intermediate representation so as to provide access only to data allowed by the policies integrated into the intermediate representation, and executing the rewritten request and providing only data allowed by the policies integrated into the intermediate representation.

Abstract: A quality determination method, system, and computer program product that includes performing a dimensionality reduction on a high-dimensional dataset to form a dimensional-reduced dataset and determining, using a machine learning tool executed on a computing device, a quality of the dimensional-reduced dataset via a review of an extracted feature extracted from the dimensional-reduced dataset.

Abstract: A fast neural transition-based parser. The fast neural transition-based parser includes a decision tree-based classifier and a state vector control loss function. The decision tree-based classifier is dynamically used to replace a multilayer perceptron in the fast neural transition-based parser, and the decision tree-based classifier increases speed of neural transition-based parsing. The state vector control loss function trains the fast neural transition-based parser, the state vector control loss function builds a vector space favorable for building a decision tree that is used for the decision tree-based classifier in the neural transition-based parser, and the state vector control loss function maintains accuracy of neural transition-based parsing while the decision tree-based classifier is used to increase the speed of the neural transition-based parsing while using the decision tree-based classifier to increase the speed of the neural transition-based parsing.

Abstract: A computer implemented method manages virtual disks. A number of processor units detects attachment of a storage to a host operating system. The number of processor units mounts the storage to a set of mount points. The number of processor units creates a set of virtual disks and assigning, by the number of processor units, the set of virtual disks to a guest in operation in which instructions for the operation are performed without interruption. According to other illustrative embodiments, a computer system and a computer program product for managing virtual disks are provided.

Abstract: A method, computer system, and computer program product for processing a secure data phone request are provided. The embodiment may include receiving a plurality of user responses to one or more security questions. The embodiment may also include identifying, during a phone call, a request for sensitive information by a call participant. The embodiment may further include identifying a response within the plurality of received user responses that satisfies the identified request. The embodiment may also include transmitting the identified response to the call participant.

Abstract: Methods and systems for neural network processing include configuring a physical network topology for a network that includes hardware nodes in accordance with a neural network topology, one of which is designated as a master node with any other nodes in the network being designated as slave nodes. One or more virtual neurons are configured at each of the hardware nodes by the master node to create a neural network having the neural network topology. Each virtual neuron has a neuron function and logical network connection information that establishes weighted connections between different virtual neurons. A neural network processing function is executed using the neural network.

Abstract: The present invention discloses embodiments of a semiconductor chip with one or more bottom external (power or ground) connections, a front side power network layer, a device layer, and a grind side power network layer. The device layer has a plurality of devices. One or more of the devices has one or more device power connections and one or more device ground connections and the device layer has a front side and a back grind side. The front side power network layer has power, ground, signal, and other connections that connect to respective device power and device ground connections from/through the top front side layer. In like manner, power, ground, signal, and other connections connect to respective device power and device ground connections from/through the bottom of grind side power network layer. (Alternative, e.g., external conduit connections are disclosed.

Abstract: A substrate's embedded substrate contact electrode forms a reference voltage point. A gate insulator is spaced outwardly from the substrate and has an exposed outer surface configured for contact with a fluid analyte. A device region is intermediate the substrate and the gate insulator; source and drain regions are adjacent the device region; and a field insulator is spaced outwardly of the drain region, the source region, and the substrate away from the device region. The gate insulator and the field oxide are formed of different materials having different chemical sensitivities to the fluid analyte. The field insulator is coupled to the substrate through the field insulator capacitance. The gate insulator capacitance is much smaller than the field insulator capacitance. The embedded substrate contact electrode can be connected to a separate voltage so that the electrical potential between the substrate and the source region can be controlled.

Abstract: A method for establishing an index of usability associated with a replacement payment card is provided. The method may include receiving a payment card replacement request in a vending facility. The method may further include identifying at least one possible risk factor associated with a user utilizing the replacement payment card. The method may also include creating a risk assessment based on the at least one identified possible risk factor. The method may further include establishing an index of usability for the replacement payment card based on the created assessment, whereby a value of the index of usability correlates to a plurality of restrictions placed on using the replacement payment card. The method may also include storing the established index of usability in a database.

Abstract: A method, computer system, and a computer program product for managing digital currency is provided. The present invention may include initializing a digital wallet. The present invention may include receiving one or more digital currencies. The present invention may include performing one or more transactions using the one or more digital currencies, wherein each of the one or more transactions has a hash value recorded on a local ledger maintained on the digital wallet. The present invention may include broadcasting the local ledger to a shared ledger maintained by a fund source. The present invention may include synchronizing the digital wallet with the found source by releasing a value held in suspense based on a total value of the one or more digital currencies remaining on the digital wallet.

Abstract: An apparatus for a fire suppressant system on a server rack includes an integrated battery feature, a manifold, a conduit, and a control card, where the integrated battery feature includes a plurality of battery cells in an enclosure. A first end of the conduit coupled to a control valve on the manifold and a second end of the conduit coupled to the integrated battery feature. The control card configured to open the control valve on the manifold, where the control valve is configured to release a fire suppressant into the enclosure of the integrated battery feature. In one embodiment, the fire suppressant is contained within a pressurized fire suppressant reservoir mounted on the server rack. In another embodiment, the fire suppressant is a cooling fluid diverted from a radiator cooling unit on the server rack.

Abstract: A depolymerization reaction of a polyester input with an organocatalyst and an alcohol solvent produces (i) a recycled monomeric or oligomeric diester from the polyester, (ii) the organocatalyst for reuse, and (iii) the alcohol solvent, which may also be reused. The presence of volatile impurities, such as water, acetyl aldehyde, and organic solvents can interfere with the success of the depolymerization reaction. A pre-reaction distillation step removes volatile impurities from the polyester input resulting in an efficient depolymerization reaction with consistency among batches. The polyester input may be further treated with a water azeotrope to remove water from the polyester input prior to the pre-reaction distillation.

Abstract: A method of forming stacked fin field effect devices is provided. The method includes forming a layer stack on a substrate, wherein the layer stack includes a first semiconductor layer on a surface of the substrate, a second semiconductor layer on the first semiconductor layer, a third semiconductor layer on the second semiconductor layer, a separation layer on the third semiconductor layer, a fourth semiconductor layer on the separation layer, a fifth semiconductor layer on the fourth semiconductor layer, and a sixth semiconductor layer on the fifth semiconductor layer. The method further includes forming a plurality of channels through the layer stack to the surface of the substrate, and removing portions of the second semiconductor layer and fifth semiconductor layer to form lateral grooves.

Abstract: Predicting power usage of a chip may include receiving placement data describing a placement, within the chip, of a plurality of logical components of the chip; providing the placement data as an input to a neural network; and determining, by the neural network, based on the placement data, a predicted power usage of the chip.

Abstract: A framework is provided in which a querying agency can request (via a query entity) encrypted data through a service provider from a data owning agency that stores encrypted data. The framework uses homomorphic encryption. The data may be gallery entities, and each of the elements in the framework operate on doubly-encrypted information. The service provider compares a representation of an encrypted query entity from the querying agency and representations of encrypted gallery entities from the data owning agency, resulting in doubly-encrypted values of a metric between corresponding compared representations. The querying agency gets result(s), based on the metric, which indicate whether it is probable the service provider has data similar to or the same as query data in the query entity. The elements have to perform communication in order for the querying agency or the data owning agency to get cleartext information corresponding to the query entity.

Abstract: A semiconductor device structure includes a memory element disposed within an interlayer dielectric (ILD) layer. A contact is disposed within the ILD in contact with the memory element and includes a first metal. A logic element is disposed within the ILD and comprises a second metal that is different than the first metal. A method of forming the semiconductor structure includes forming at least one memory element within an interlayer dielectric (ILD) layer. A contact that includes a first metal is formed in contact with the memory element. At least one logic element is formed in the ILD layer, where the logic element includes a second metal that is different than the first metal.

Abstract: Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises identifying a plurality of data logs; generating a data model using analyzed time series data from the identified data logs; detecting anomalies within the generated data model; constructing a causal graph using the detected anomalies and retrieved domain knowledge; computing a severity value for the detected anomalies with the constructed causal graph; assigning the detected anomaly to a classification based on a function vector, wherein the computed severity value is a function vector; and automatically modifying a function of a computing device based on the function vector of the assigned, detected anomaly, wherein a modification addresses the detected anomaly located at a center of the constructed casual graph.

Abstract: A Bloom filter is used to track contents of a cache. A system checks the Bloom filter before deciding whether to prefetch an address (by hashing the address and checking a value of the Bloom filter at an index based on the hash). This allows the system to utilize more aggressive prefetching schemes by reducing the risk of wasteful redundant prefetch operations.

Abstract: According to one embodiment, a method, computer system, and computer program product for web conference recording correction is provided. The embodiment may include capturing a server-side recording of a web conference and a plurality of client-side recordings of the web conference. The embodiment may also include identifying one or more quality issues with the server-side recording. The embodiment may further include generating a reconstruction of the server-side recording that cures the one or more quality issues using one or more recordings within the plurality of client-side recordings.

Abstract: Phase change memory devices and methods of forming the same include forming a fin structure from a first material. A phase change memory cell is formed around the fin structure, using a phase change material that includes two solid state phases at an operational temperature.

Abstract: A group message in a messaging group is received. A topic of the group message is determined. One or more recipients of the group message based on the topic of the group message is determined. The recipient is a member of the messaging group. The group message to the determined one or more recipients is transferred.

Abstract: Disclosed herein is an analog-to-digital converter circuit configured for digitizing an analog input signal. The analog-to-digital converter comprises an analog input configured for receiving the analog input signal. The analog-to-digital converter circuit further comprises at least one sub-ADC connected to the analog input signal, wherein the at least one sub-ADC is configured to output at least one encoded output vector in response to receiving the analog input signal. The analog-to-digital converter circuit further comprises a lookup circuit comprising a nested lookup table. The lookup circuit is configured to select an output value from the nested lookup table using the at least one encoded output vector, wherein the lookup circuit is configured to provide the output value as the digitization of the analog input signal.

Abstract: Embodiments of the present disclosure include a computer-implemented method, a computer program product, and a system for storing data based, at least partially, on the deduplication rates of a storage system within a storage environment. The computer-implemented method includes receiving data to be stored in a storage environment, computing a hash for the received data, and querying storage deduplication agents for statuses of storage systems within the storage environment. The computer-implemented method also includes receiving deduplication rates and hash tables relating to the storage systems from the storage deduplication agents. The computer-implemented method further includes analyzing stored data stored on the storage systems using the deduplication rates and the hash tables and comparing the stored data to the received data.

Abstract: Provided are a magnetic tape head, a magnetic tape drive, and a computational device in which the magnetic tape head is comprised of a plurality of elements, wherein a pitch between adjacent elements of the plurality of elements is not identical. Selected elements of the plurality of elements that are shifted from a nominal position are selected in a symmetrical manner in the plurality of elements. A total of shifts of the elements of the plurality of elements that are shifted add up to a desired total shift to realign a plurality of modules, such that the median head span of each module type match as closely as possible to a desired value of a head span for all module types.

Abstract: A processor may identify that a computing device is below a power threshold. The processor may generate a charge request. The charge request may include metrics associated with a requested power exchange. The processor may send the charge request to a decentralized exchange. The decentralized exchange may include the computing device and at least two other devices. The processor may receive respective charging proposals from the at least two other devices. The processor may select one of the respective charging proposals.

Abstract: Methods are presented for forming multi-threshold field effect transistors. The methods generally include depositing and patterning an organic planarizing layer to protect underlying structures formed in a selected one of the nFET region and the pFET region of a semiconductor wafer. In the other one of the nFET region and the pFET region, structures are processed to form an undercut in the organic planarizing layer. The organic planarizing layer is subjected to a reflow process to fill the undercut. The methods are effective to protect a boundary between the nFET region and the pFET region.

Abstract: An interposer sandwich structure includes a top interposer and a bottom interposer enclosing an integrated circuit electronic device that includes an attachment for attaching the device to the bottom interposer, and an interconnection structure connecting the top interposer to the bottom interposer. The top interposer may also be directly connected to a chip carrier in addition to the bottom interposer. The structure provides shielding and protection of the device against Electrostatic Discharge (ESD), Electromagnetic Interference (EMI), and Electromagnetic Conductivity (EMC) in miniaturized 3D packaging.

Abstract: A piezoelectric generator structure disposed between an upper platform and a lower platform that includes a lower piezoelectric pad, an upper piezoelectric pad, and a connecting shaft. The lower piezoelectric pad coupled to the upper piezoelectric pad via the connecting shaft, where the lower piezoelectric pad is configured to compress under a downward motion of the upper platform during a compression movement due to an additional load being applied to an existing load on a top surface of the upper platform, where the lower piezoelectric pad produces a first voltage due to the compression movement. The upper piezoelectric pad configured to compress under an upward motion of the upper platform during a rebound movement of the upper platform, where the upper piezoelectric pad produces a second voltage due to the rebound movement. The generator structure configured to provide the first and the second voltage to a coupled power storage unit.

Abstract: A tool for automatically generating incident management process efficiency metrics utilizing real-time communication analysis. The tool retrieves real-time conversation data from one or more communication sources, wherein the real-time conversation data includes one or more messages having data related to an information technology (IT) incident. The tool performs conversation analysis on the one or more messages. The tool determines one or more timestamps of interest for the IT incident from the one or more messages. The tool generates one or more incident management process efficiency metrics for the IT incident utilizing the one or more timestamps of interest. The tool predicts based, at least in part, on historical conversation data, an outcome for the IT incident. The tool sends the one or more incident management process efficiency metrics and the outcome for the IT incident to a user in a notification.

Abstract: An approach is provided in which the approach receives a request to upload a file at a server system that includes metadata encoded with a non-invertible key. The metadata includes contact information corresponding to an owner of the file. The approach establishes both a photon channel and a classical channel between the server system and a client system, which are both secured using one or more shared secret keys. The approach interfaces with the client system over the photon channel and the classical channel to decode the contact information at the server system, and sends an upload request from the server system to the owner of the file using the contact information. The approach authorizes the upload request at the server system in response to receiving an upload approval from the owner.

Abstract: In an approach for predictive forecasting of food allocation, a first data is received from one or more sensors. The amount and condition of available food is determined from the first data. The number and location of people is determined from the first data. The received data is modified to create a second data. One or more food requirements for the people are predicted based on the number and location of people and the second data. An optimal food allocation for the people is predicted based on the amount and condition of food available and the one or more food requirements. The optimal food allocation is reported.

Abstract: A queue management system including a user data retrieving circuit configured to retrieve a user property of the user and a queue managing circuit configured to model the plurality of users as a non-Newtonian fluid, to analyze the user properties to assign each user an anisometric polarity parameter, and to solve an objective function for a queue property to cause the plurality of users to collectively act as the non-Newtonian fluid in the queue.

Abstract: Embodiments disclosed herein include an RRAM cell. The RRAM cell may include a first nanowire electrically connected to a first wordline electrode. The nanowire may include a first sharpened point distal from the first wordline electrode. The RRAM cell may also include a metal contact electrically connected to a bitline electrode and a high-? dielectric layer directly between the nanowire and the metal contact.

Abstract: A method is provided. The method may include, in response to electronically receiving a document, automatically classifying the document and different parts of the document, by electronically identifying a document type associated with the document and electronically tagging data associated with the different parts of the document based on classification rules. The method may further include automatically extracting the tagged data associated with the automatically classified document based on data extraction rules. The method may further include detecting first feedback associated with the classification rules and second feedback associated with the data extraction rules. The method may further include automatically generating and updating validation rules based on the identified document type, the detected first feedback, and the detected second feedback to validate the automatically classified document and the automatically tagged and extracted data.

Abstract: Embodiments are disclosed for a method. The method includes determining multiple recommended actions based on a security incident using an action model trained to make recommendations. The method also includes determining multiple similar targets to a target of the security incident using a collaborative filtering model trained to assign a confidence value of similarity between two targets. The method further includes assigning a plurality of weights to the recommended actions based on one or more actions taken by the similar targets and the confidence value, and a success or failure of the recommended actions. Additionally, the method includes generating a prioritized list of the recommended actions that is sorted based on the assigned weights.

Abstract: A generator categorizes documents in one or more transactions into buckets, each identified by a separate category for an expected time window based on a separate relative age of each of the documents evaluated from one or more dates identified in the documents. The generator trains a document classifier with a model of the separate relative age of each of the documents as a temporal characteristic correlated with the respective category of a respective bucket of the buckets. The document classifier executes on a input documents to classify each of the input documents as a particular logical type identified by a particular category from among multiple logical types.

Abstract: A risk management method, system, and non-transitory computer readable medium, include a data analyzing circuit configured to analyze user data, site data, and equipment data to map prior behavior types to an event on a site, a relationship determining circuit configured to determine a relationship between the mapped data and the event based on behaviors exhibited by the user and an impact on a performance factor and a risk factor, and a reinforcement learning circuit configured to use reinforcement learning to learn the performance factor to the risk factor ratio to optimize an overall site productivity.

Abstract: There is provided a method for monitoring interaction with 3D medical images, comprising: dividing the 3D image into a sequence of a 2D images, arranging the sequence into slabs each including at least one 2D image, computing, for each respective slab, a minimal amount of viewing time a user is predicted to spend viewing the respective slab, monitoring, while the 3D medical image is presented on a display, an amount of time a user actually spent viewing portions of the 3D medical image corresponding to each of the of slabs, in response to the amount of time spent viewing a certain portion of the 3D medical image being less than the computed minimal amount of viewing time of a certain slab corresponding to the certain portion, generating instructions for implementation by a user interface indicative of the amount of time spent being less than the computed minimal amount of time.

Abstract: In a processor supporting execution of a plurality of functions of an instruction, an instruction blocking value is set for blocking one or more of the plurality of functions, such that an attempt to execute one of the blocked functions, will result in a program exception and the instruction will not execute, however the same instruction will be able to execute any of the functions that are not blocked functions.

Abstract: A system includes a determination component that determines output for successively larger neural networks of a set; and a consensus component that determines consensus between a first neural network and a second neural network of the set. A linear chain of increasingly complex neural networks trained on progressively larger inputs is utilized (e.g., increasingly complex neural networks is generally representative of increased accuracy). Outputs of progressively networks are computed until a consensus point is reached—where two or more successive large networks yield a same inference output. At such point of consensus the larger neural network of the set reaching consensus can be deemed appropriately sized (or of sufficient complexity) for a classification task at hand.

Abstract: A method, system and computer program product are provided. A computing system collects information related to a patient's preparation for a medical procedure and provides information regarding the medical procedure and a medical condition of the patient to at least one member of a medical procedure team. Data pertaining to performance of the medical procedure in an operating room is collected from multiple sensors. Progress of the medical procedure is monitored in real time by analyzing the collected data, a procedure reference library, and a physician history to determine a status of the medical procedure. A schedule of one or more subsequent medical procedures for the operating room is adjusted in real time based on the monitored progress. Notifications of the adjusted schedule may be transmitted to participants of the one or more subsequent medical procedures.

Abstract: A computer-implemented method includes: extracting, by one or more processors, media data from an information technology ticket; extracting, by one or more processors, a plurality of data elements from the media data; and generating, by one or more processors, a ticket knowledge graph based on the plurality of data elements, wherein a node of the ticket knowledge graph represents a data element, and an edge between a first node and a second node in the ticket knowledge graph represents a correlation between a first data element represented by the first node and a second data element represented by the second node.

Abstract: An embodiment includes executing, by a hypervisor, a bootloader with access to a first logical partition of a non-volatile memory, the first logical partition storing a keystore. The embodiment also includes loading, by the bootloader, a kernel with access to the first logical partition of the non-volatile memory. The embodiment also includes receiving, by the bootloader, an encryption key from the keystore. The embodiment also includes performing, by the bootloader, a cryptographic algorithm using the encryption key on the kernel. The embodiment also includes executing, by the bootloader in an event that the performing of the cryptographic algorithm produces a first result, the kernel with access to the first logical partition of the non-volatile memory. The embodiment also includes halting, by the bootloader in an event that the performing of the cryptographic algorithm fails to produce the first result, booting of the kernel and generating an error message.

Abstract: A method, a computer system, and a computer program product for restoration time predictions and optimized recovery solutions is provided. Embodiments of the present invention may include selecting a dataset based on time series data. Embodiments of the present invention may include building one or more models, wherein the one or more models include a classification and regression tree model, a cross validated decision tree model or a bootstrap aggregating model. Embodiments of the present invention may include selecting a model for predictions using decision trees to reduce a variance of the model. Embodiments of the present invention may include rebuilding the model based on additional data attributes. Embodiments of the present invention may include determining an outage prioritization for each outage node. Embodiments of the present invention may include transmitting results of the outage prioritization.

Abstract: In an approach for ensuring data protection and control in a distributed hybrid multi-cloud environment with Kubernetes clusters, a processor determines whether a respective quorum of the set of clusters are online. A processor, responsive to determining that a respective quorum of the set of clusters are online, determines whether one or more applications of the cluster are running on another cluster of the set of clusters. A processor, responsive to determining the one or more applications of the cluster are not running on another cluster of the set of clusters, determines whether the cluster is designated as a highest priority cluster. A processor, responsive to determining the cluster is designated as the highest priority cluster, determines whether a main cluster of the set of clusters is online. A processor, responsive to determining the main cluster is online, scales a new custom resource to one (1).

Abstract: An example operation may include one or more of receiving an example in a blockchain network, distributing the example to a plurality of endorsing peers of the blockchain network, performing, by one or more of the endorsing peers, automated analysis of the example to determine an inference for the example, determining if there is a consensus of inference amongst the plurality of endorsing peers, and committing the example to a blockchain of the blockchain network when there is a consensus of inference.

Abstract: A computer-implemented method for calculating a similarity between a pair of graph-structured objects by learning-based techniques. The operations include computing the node embeddings of a pair of graph-structured objects of two computer graphs utilizing a hierarchical graph matching network (HGMN). A first component of the HGMN performs graph matching of global-level graph interactions of the two computer graphs. A second component of the HGMN performs graph matching of cross-level node-graph interactions of the two computer graphs. There is an aggregating of features learned from the graph matching of the global-level graph interactions and the cross-level node-graph interactions. At least one of a graph-graph classification or a graph-graph regression is performed utilizing the learned features of the two computer graphs.

Abstract: A waste polyester material is prepared for recycling by dissolving the material in a solution comprising hexafluoroisopropyl (HFIPA) and a chlorinated hydrocarbon, such as dichloromethane (DCM) and/or an aromatic hydrocarbon, such as toluene or xylene, to form a dissolved polyester sample. The dissolved polyester may be prepared for recycling by evaporation, spray drying, and/or precipitation, which produces a purified solid polyester product. The dissolution solution, which is separated from the purified solid polyester product, is also recycled through distillation with purification.

Abstract: An example operation may include one or more of receiving, by a risk score module, a blockchain transaction proposal, obtaining transaction proposal data, obtaining external data, computing a risk score from the transaction proposal data and the external data, comparing the risk score to a risk score threshold, providing a commitment decision, based on the comparison, and one of committing or rejecting an endorsed transaction corresponding to the transaction proposal.