Abstract: A generated signal is injected into a first network node in a set of network nodes. The generated signal comprises a predetermined pattern, the predetermined pattern comprises a plurality of time periods, wherein during each time period in the plurality of time periods a first data traffic is prevented from exiting the first network node. By monitoring data flow within the set of network nodes while the generated signal is being injected, a correlation with the generated signal is detected, the correlation correlating a second network node with the first network node. The second network node is associated with the first network node. Responsive to the association, traffic from the second network node to the set of network nodes is blocked.

Abstract: Using interaction profiling data and deployment state data of a software application, an observability module configuration plan is generated, the configuration plan comprising an event to be observed and an observability parameter. Using infrastructure state estimation data of the infrastructure on which the software application is executing, the observability module configuration plan is adjusted, the adjusting resulting in an adjusted reconfiguration plan, the adjusted reconfiguration plan comprising a second event to be observed, the second event associated with a node failure within the infrastructure. A set of observability modules is reconfigured according to the adjusted reconfiguration plan, the reconfiguring comprising causing an observability module in the set of observability modules to be activated to monitor the event.

Abstract: An embodiment includes generating feature explainability data associated with a feature in a set of features of a sample represented by input data for a predictive model, where the explainability value is based at least in part on a significance of the feature for an output of the predictive model for the sample. The embodiment extracts feature value data from the input data that is representative of a feature value of the feature for the sample. The embodiment constructs a generalization group comprising the feature of the sample by detecting that the feature value and the explainability value satisfy a predetermined condition. The embodiment generates generalized domain data indicative of a generalized domain that comprises a generalized feature value that corresponds to a plurality of feature values in a domain of the generalization group such that the generalized feature is a generalization of the feature of the sample.

Abstract: Using a trained keyphrase generation model, a set of keyphrases corresponding to an input document is generated, a keyphrase in the set of keyphrases comprising a word summarizing a portion of a document. A relevance score measuring a similarity between the keyphrase and the document is calculated for a keyphrase in the set of keyphrases. The relevance score is adjusted according to a diversity balancing function.

Abstract: An embodiment analyzes a predictive model and its input data for the predictive model using an explainability algorithm resulting in a feature importance value of a feature. The embodiment analyzes feature values of the feature using a generalization function resulting in a set of candidate feature values. The embodiment determines an alternative feature based on the set of candidate feature values, wherein the alternative feature is a generalization of the feature. The embodiment compares an accuracy of the predictive model to a threshold performance value and, responsive to the accuracy being above the threshold performance value, maps feature values in the input data that are in the set of candidate feature values to a generalized representative value in the generalized domain.

Abstract: An embodiment monitors an operational state of a processor-based system and identifies a system error that satisfies a reboot condition for a reboot event. The embodiment generates debug data indicative of the operational state of the system when the system error occurred. The embodiment stores the debug data in a memory that retains data during the reboot event. The embodiment intercepts a debug data requests from an untrusted entity, thereby preventing the untrusted entity from directly accessing the debug data in the memory. The embodiment analyzes the debug data using a sensitive data detection process where the analyzing detects sensitive data in the debug data. The embodiment generates modified debug data by performing a data protection process on the debug data and then sends, as a response to the debug data requests, the modified debug data to the untrusted entity.

Abstract: A floor system in a server room includes a main panel and a sub-panel. The main panel includes main panel inlaid cables and main panel connectors where the main panel inlaid cables connect a first set of the main panel connectors to a second set of the main panel connectors. The sub-panel includes sub-panel inlaid cables and sub-panel connectors where the sub-panel inlaid cables connect the sub-panel connectors to one another. The floor system provides an operating floor via the main panel and the sub-panel where the operating floor is raised relative to a sub-floor and the main panel is a removable floor panel to access a space between the operating floor and the sub-floor. The main panel inlaid cables and the sub-panel inlaid cables establish a current pathway from a power source.

Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can monitor user activity for one or more user interactions performed while connected to a Virtual Private Network. Embodiments of the present invention can then identify potential risks associated with a user and respective user interactions. Embodiments of the present invention can then, in response to determining a respective user interaction of the one or more interactions is suspicious, generate a real time risk score for the respective user interaction. Embodiments of the present invention can then, in response to the generate real time risk score exceeding a threshold level of risk for the respective user interaction, initiate a secondary authentication protocol.

Abstract: A microtiter plate comprising a first array of M×N wells and a microfluidic probe insert is provided. The microfluidic probe insert includes a second array of M×N microfluidic probe conduits, forming N columns of M conduits. The M conduits include respective orifices in a bounding plane and extend, each, perpendicularly to the bounding plane on one side. The microfluidic probe insert also includes N vacuum circuits, each comprising at least one vacuum port and M openings in the bounding plane, where 2?M, 2?N. The microfluidic probe insert is positioned on the microtiter plate and the microfluidic probe conduits are inserted in respective wells. A processing liquid is ejected from M conduits via the M orifices of the M conduits by applying a negative pressure to a corresponding set of N vacuum circuits via the respective one or more vacuum ports.

Abstract: A method for automatically detecting and processing a computer input event comprising one or more intents is provided. The method may include, in response to receiving the computer input event, automatically generating a parse tree comprising nodes including a possible interpretation of the received computer input event and at least one determined intent. The method may further include performing a confidence evaluation for the nodes and receiving one or more first scores from one or more computer agents for a respective node to indicate an ability of a respective computer agent to process the respective node. The method may further include, determining a second score for the respective node by aggregating the one or more first scores from the one or more computer agents for the respective node. The method may further include, based on the determined second score, selecting a node for processing the received computer input event.

Abstract: An instructional design tool is provided for designing learning based applications. More specifically, the instructional design tool is configured to use captured expert knowledge for translating such knowledge into an environment used for instructional purposes. The instructional design tool includes at least one component configured to visually model a gaming scenario using recorded knowledge and graphical content defined by values associated with classes of respective models and translate the defined values into a standardized XML format.

Abstract: A gas capture system is configured to purify gas streams. The gas capture system includes a first capture system including a plurality of first chambers interconnected by a first path. Each first chamber includes a first adsorbent. The gas capture system further includes a second capture system including a plurality of second chambers interconnected by a second path. Each second chamber includes a second adsorbent. The gas capture system further includes a third path connecting each first chamber to the second path such that a first output of the first capture system is input into the second capture system. The gas capture system further includes a fourth path connecting each second chamber to the first path such that a second output of the second capture system is input into the first capture system.

Abstract: A processor may generate an enforcement point. The enforcement point may include one or more adversarial detection models. The processor may receive user input data. The processor may analyze, at the enforcement point, the user input data. The processor may determine, from the analyzing, whether there is an adversarial attack in the user input data. The processor may generate an alert based on the determining.

Abstract: A method of analyzing source code includes receiving, by a processor, an updated version of a computer program, the updated version including a source code. The method also includes preprocessing, by a compiler, the source code for a target computing platform. Preprocessing the source code by the compiler includes identifying a macro condition associated with one or more computer instructions enclosed by a macro, determining object code corresponding to the one or more computer instructions based on a current value of the macro condition, and generating object code and macro information for output to a debugger, the macro information including one or more breakpoint conditions in the macro.

Abstract: Described are techniques including a computer-implemented method that comprises defining a respective priority classification for each of a plurality of sockets used for communicating between an initiator computational system and a target computational system. The method further comprises automatically assigning a respective priority classification to each of a plurality of Input/Output (IO) requests based on a type of data associated with each IO request. The method further comprises sending the plurality of IO requests to respective sockets of the plurality of sockets with a matching priority classification.

Abstract: A computer-implemented method for automatically recommending an online meeting reconnection time for one or more online meeting participants that are disconnected. The method collects disconnection information for one or more online meeting participants over time as historical data. The method constructs a predictive model for the one or more online meeting participants based on the historical data and predicts a reconnection time for the one or more online meeting participants based on the predictive model. The method notifies the one or more online meeting participants when a disconnected participant is expected to return online and updates the online meeting agenda if the disconnected participant's reconnection time exceeds a predefined threshold.

Abstract: A method, computer system, and a computer program product for searching are provided. The method may include receiving a word and a context of the word. The context may include additional words. A first word embedding may be generated by inputting a sequence into a word embedding model that resultantly outputs the first word embedding. The sequence may include the word and the context that are concatenated to each other in the sequence. The first word embedding may be compared with other word embeddings. The other word embeddings may have been generated by inputting respective text portions of other texts into the word embedding model. A candidate match of the other texts may be presented. A respective word embedding of the candidate match may be, of the other word embeddings, most similar to the first word embedding according to the comparing.

Abstract: A processor retrieves a webpage for rendering in a web browser. A processor identifies at least one zone of the webpage. A processor determines a resource consumption rate for the at least one zone. A processor determines a display area for the at least one zone. A processor determines a consumption ratio based on the resource consumption rate and the display area of the at least one zone. In response to the consumption ratio exceeding a threshold value, a processor disables a rendering of the at least one zone when rendering the webpage in the web browser.

Abstract: A method includes receiving a plurality of files where each file represents an object. The method further combines selected files of the plurality of files into an aggregation file and stores the aggregation file on low-latency storage media, such as disk storage media. The method represents the aggregation file with a single inode that is stored on the low-latency storage media. The method migrates the aggregate file to high-latency storage media, such as tape storage media, while leaving the single inode representing the aggregation file on the low-latency storage media. By collecting files into larger aggregation files, the number of files archived is significantly reduced and the files archived are of larger size. The reduced number of files and increased size of the files improves archival and retrieval performance due to reduced metadata operation overhead. A corresponding system and computer program product are also disclosed.

Abstract: A method includes: obtaining, by a computing device, a first work item from a first index, wherein the first work item represents a namespace of a bucket of a vault in a dispersed storage network; dividing, by the computing device, the namespace into plural ranges of names; creating, by the computing device, plural second work items, each respective one of the plural second work items including a respective one of the plural ranges of names; and adding, by the computing device, each of the plural second work items to a second index.