Abstract: Described herein are examples of systems, methods, apparatuses, and devices which include a carbon nanotube structure. The carbon nanotube structure may include a first carbon nanotube with a first top surface and a first bottom surface. The carbon nanotube structure may include a second carbon nanotube vertically aligned with the first carbon nanotube. The second carbon nanotube may include a second top surface and a second bottom surface. The first carbon nanotube and the second carbon nanotube may be infiltrated with carbon by a mixture that is flowing. The mixture may include a first amount of ethylene and a second amount of hydrogen. The carbon nanotube structure may include a thin film extending along the first bottom surface and the second bottom surface.

Abstract: An integrated multi-modality system has a first modality corresponding to an EDX or physiological device, including associated amplifier and different types of stimulators, and a second modality corresponding to an US device, including associated probes and beam former, in data communication with a computing device. The system is configured to synchronize EDX and US devices for time-locked collection and analysis of both the EDX and US data thereby allowing combined functionality, review, and analysis. The system generates an integrated multi-modal data file that combines the processed EDX and/or physiological and US data into a unitary file with a singular format thereby supporting a plurality of clinical applications.

Abstract: Techniques are provided for deploying virtual machines to a virtualization management environment using an agent component to obtain remote virtual machine templates. One method comprises receiving, by an agent component executing in a virtualization management server, a request to deploy a virtual machine and a storage location of a template for the virtual machine; obtaining the template for the virtual machine from one or more of an orchestration engine and a remote data source identified by the storage location; and replicating the obtained template for the virtual machine to create the virtual machine. The request to deploy the virtual machine may also comprise deployment information used to configure the virtual machine. The agent component may monitor an execution of the created virtual machine and evaluate one or more policies provided by the orchestration engine with respect to security controls and/or network requirements associated with the created virtual machine.

Abstract: An integrated multi-modality system has a first modality corresponding to an EDX or physiological device, including associated amplifier and different types of stimulators, and a second modality corresponding to an US device, including associated probes and beam former, in data communication with a computing device. The system is configured to synchronize EDX and US devices for time-locked collection and analysis of both the EDX and US data thereby allowing combined functionality, review, and analysis. The system generates an integrated multi-modal data file that combines the processed EDX and/or physiological and US data into a unitary file with a singular format thereby supporting a plurality of clinical applications.

Abstract: An approach is disclosed that determines a path through multiple levels of a generalization lattice. The path includes multiple nodes corresponding to the multiple levels, and each of the nodes is determined from a scoring function that utilizes a corresponding parent node that was previously added to the path. The approach then selects an optimal node from the nodes in the path.

Abstract: A method receives data from a data source. The method generates a plurality of generalizations of the data. The method sends the plurality of generalizations of the data to a plurality of execution nodes, wherein each of the plurality of execution nodes includes computational resources to compute a candidate generalization using an information loss scoring function. The method receives a candidate generalization from each of the plurality of execution nodes. The method selects a preferred generalization from the plurality of candidate generalizations. The method generates an anonymized view of the data set using the preferred generalization.

Abstract: An approach is disclosed that computes a path through a generalization lattice comprising a plurality of levels. For each of the levels, the approach uses a scoring function to compute one or more values from a node on a first level of the generalization lattice to one or more neighboring nodes on a second level of the generalization lattice. The approach then adds a best node from the neighboring nodes to the path based on the values. At the completion of computing scoring functions on the generalization lattice, the path comprises a best node from each of the plurality of levels. The approach then selects an optimal node from the best nodes in the path.

Abstract: A method includes depositing a layer of alumina over a silicon substrate, providing a patterned photoresist over the layer of alumina, providing an iron catalyst layer over the patterned photoresist, providing the iron catalyst layer over an exposed portion of the alumina, providing a first iron catalyst site over a first portion of the alumina, providing a second iron catalyst site over a second portion of the alumina, growing a first carbon nanotube on the first iron catalyst site, growing a second carbon nanotube on the second iron catalyst site, infiltrating the first carbon nanotube and the second carbon nanotube with carbon, and cooling both the first carbon nanotube and the second carbon nanotube. The infiltrating strengthens the first carbon nanotube and the second carbon nanotube to not delaminate from the substrate when the first carbon nanotube and the second carbon nanotube are cooled.

Abstract: A method for managing remote Kubernetes clusters employs a central orchestrator with cluster integration interfaces for one or more managed Kubernetes platforms. A cluster of interest is selected via one of the interfaces and a connection with the applicable platform is registered. The registered connection may include platform account credentials and cluster admin role information to an authenticated cluster-admin role defined for the platform. A platform-specific microservice (PSM), provisioned with platform-specific logic and tooling, is instantiated. The PSM retrieves an administrative manifest including one or more administrative pods enabling the central orchestrator to communicate securely with the platform and deploy and manage application workloads on the cluster.

Abstract: An approach is disclosed that computes a path through a generalization lattice comprising a plurality of levels. For each of the levels, the approach uses a scoring function to compute one or more values from a node on a first level of the generalization lattice to one or more neighboring nodes on a second level of the generalization lattice. The approach then adds a best node from the neighboring nodes to the path based on the values. At the completion of computing scoring functions on the generalization lattice, the path comprises a best node from each of the plurality of levels. The approach then selects an optimal node from the best nodes in the path.

Abstract: Described herein are examples of systems, methods, apparatuses, and devices which include a carbon nanotube structure. The carbon nanotube structure may include a first carbon nanotube with a first top surface and a first bottom surface. The carbon nanotube structure may include a second carbon nanotube vertically aligned with the first carbon nanotube. The second carbon nanotube may include a second top surface and a second bottom surface. The first carbon nanotube and the second carbon nanotube may be infiltrated with carbon by a mixture that is flowing. The mixture may include a first amount of ethylene and a second amount of hydrogen. The carbon nanotube structure may include a thin film extending along the first bottom surface and the second bottom surface.

Abstract: A device searches for an anonymization of a data set using a heuristic search. The device receives a generalization lattice and one or more scoring functions. The device further can include selecting a start node in the generalization lattice. For each of the one or more scoring functions, the device can further include computing a path the generalization lattice from the start node that traverses the generalization lattice. In addition, the device can include determining an optimal path node from each of the one or more paths. Furthermore, the method can include selecting an optimal node from the one or more optimal path nodes.

Abstract: Techniques are provided for deploying virtual machines to a virtualization management environment using an agent component to obtain remote virtual machine templates. One method comprises receiving, by an agent component executing in a virtualization management server, a request to deploy a virtual machine and a storage location of a template for the virtual machine; obtaining the template for the virtual machine from one or more of an orchestration engine and a remote data source identified by the storage location; and replicating the obtained template for the virtual machine to create the virtual machine. The request to deploy the virtual machine may also comprise deployment information used to configure the virtual machine. The agent component may monitor an execution of the created virtual machine and evaluate one or more policies provided by the orchestration engine with respect to security controls and/or network requirements associated with the created virtual machine.

Abstract: Generating an anonymized view for a data set is described. An example method can include receiving data from a data set, wherein the data is organized in a plurality of columns. The method may also include generating a plurality of generalizations of the data. The method may also further include selecting a generalization from the plurality of generalizations using an information loss scoring function based on at least a generalization information loss. Additionally, the method may also include generating an anonymized view of the data set from the selected generalization.

Abstract: The present specification describes systems and methods that enable the automatic detection, analysis and calculation of various processes and parameters associated with electromyography. The methods of the present specification include the automated modulation of analytical or recording states based on the nature of the signal, optimal reference fiber selection, modulating a trigger level, and determining firing parameters.

Abstract: A device searches for an anonymization of a data set using a heuristic search. The device receives a generalization lattice and one or more scoring functions. The device further can include selecting a start node in the generalization lattice. For each of the one or more scoring functions, the device can further include computing a path the generalization lattice from the start node that traverses the generalization lattice. In addition, the device can include determining an optimal path node from each of the one or more paths. Furthermore, the method can include selecting an optimal node from the one or more optimal path nodes.

Abstract: A method receives data from a data source. The method generates a plurality of generalizations of the data. The method sends the plurality of generalizations of the data to a plurality of execution nodes, wherein each of the plurality of execution nodes includes computational resources to compute a candidate generalization using an information loss scoring function. The method receives a candidate generalization from each of the plurality of execution nodes. The method selects a preferred generalization from the plurality of candidate generalizations. The method generates an anonymized view of the data set using the preferred generalization.

Abstract: Techniques are provided for deploying services to multiple public clouds using cloud-specific encapsulated communication logic. One method comprises performing, in response to a request associated with a given public cloud of multiple public clouds having corresponding encapsulated communication logic for communicating with the respective public cloud: obtaining an image for the encapsulated communication logic for the given public cloud; instantiating an orchestration service for the given public cloud using the image for the encapsulated communication logic for the given public cloud, wherein the instantiated orchestration service for the given public cloud makes a connection to an endpoint of the given public cloud using the encapsulated communication logic for the given public cloud; and processing a request to create a service in the given public cloud using the instantiated orchestration service for the given public cloud as a connection gateway to the given public cloud.

Abstract: The present specification describes systems and methods that enable the automatic detection, analysis and calculation of various processes and parameters associated with electromyography. The methods of the present specification include the automated modulation of analytical or recording states based on the nature of the signal, optimal reference fiber selection, modulating a trigger level, and determining firing parameters.

Abstract: Generating an anonymized view for a data set is described. An example method can include receiving data from a data set, wherein the data is organized in a plurality of columns. The method may also include generating a plurality of generalizations of the data. The method may also further include selecting a generalization from the plurality of generalizations using an information loss scoring function based on at least a generalization information loss. Additionally, the method may also include generating an anonymized view of the data set from the selected generalization.