Abstract: A mechanical circulatory support system may include a blood pump, a housing, an elongate shaft, a first sheath, and a second sheath. The blood pump may be configured to pump blood from a ventricle of a heart of a patient to vasculature of the patient. The elongate shaft may be coupled with the blood pump and extend proximally from the blood pump to the housing. The first sheath may extend over the elongate shaft distal of the housing and include a lumen with an inner diameter. The second sheath may extend over the elongate shaft distal of the housing and include an outer diameter that is less than the inner diameter of the lumen of the first sheath. The first sheath and the second sheath are configured to longitudinally adjust over the elongate shaft and an entirety of the second sheath is configured to adjust through the first sheath.

Abstract: A mechanical circulatory support system may include a blood pump, a housing, an elongate shaft, a first sheath, and a second sheath. The blood pump may pump blood from a ventricle of a heart of a patient to vasculature of the patient. The elongate shaft may couple with the blood pump and extend proximally from the blood pump to the housing. The first sheath may have a first hub and a lumen with an inner diameter. The second sheath may have a second hub and an outer diameter that is less than the inner diameter of the lumen. The first sheath and the second sheath may longitudinally advance over the elongate shaft and a distal end of the second sheath may advance through the lumen and extend distally beyond a distal end of the first sheath.

Abstract: A current software tool is identified. The current software tool is used to manage and/or create a current corresponding software. For example, the current software tool may be a compiler and the current corresponding software may be a binary executable. A current mapping is generated between code provided to the current software tool and the current corresponding software using a first Artificial Intelligence (AI) algorithm. A comparison between the current mapping and a learned mapping is made to determine if the current software tool is manipulating the current corresponding software in an abnormal way. The learned mapping is based on historical code input into historical software tools and corresponding historical code output from the historical software tools. In response to determining that the current software tool is manipulating the current corresponding software in an abnormal way, the current software tool is identified as being compromised or likely compromised.

Abstract: The techniques disclosed herein enable systems to efficiently interface with zoned namespace (ZNS) storage devices through a specialized management entity. To achieve this, the management entity receives write requests from a file system containing data intended for storage at the ZNS device. In response, the management entity selects a zone from the ZNS device to write the file data to. Accordingly, the file data is written by appending the file data to the zone at a location indicated by a write pointer. When the write operation is completed, the offset of the file data within the zone is observed and recorded by the file system in file metadata. In contrast to typical systems which allocate locations at the storage device prior to writing, appending file data and then recording the location enables improved efficiency in file system operations. Namely, that write operations can be issued to the ZNS device non-serially.

Abstract: A swirler assembly for a combustor includes at least one swirler including a plurality of swirl vanes arrayed about an axis of the swirler. The plurality of swirl vanes includes a first ring of first sub-vanes and a second ring of second sub-vanes, the first ring of first sub-vanes and the second ring of second sub-vanes being separated by a gap therebetween.

Abstract: The present disclosure relates to managing services by a managed service provider (MSP) in a cloud based infrastructure. A control plane of the MSP is established in a first tenancy, and a first access plane of the MSP is established in a second tenancy of a cloud environment. The control plane is configured to manage a plurality of services offered by the MSP to a first host machine included in the second tenancy. A first request is transmitted from the control plane to the first access plane, where the first request is forwarded by the first access plane to the first host machine, and corresponds to a service utilized by the first host machine and managed by the control plane of the MSP. In response to the first request being validated, a first state of the first host machine is modified in the second tenancy based on the first request.

Abstract: Generating crowdsourced time-lapse videos is provided. A crowdsource user is guided to a position that is in alignment with a photographic image of a subject matter that was captured by a first camera using an augmented reality device corresponding to a crowdsource user to capture a subsequent photographic image of the subject matter at a time when to capture the subsequent photographic image. A second camera is configured via a network to take the subsequent photographic image of the subject matter based on a configuration of the first camera. The second camera corresponds to the crowdsource user. The subsequent photographic image captured by the second camera is received at the time when to capture the subsequent photographic image via the network for inclusion in a new time-lapse video.

Abstract: An introducer sheath including a valve hub and an elongate shaft extending from the valve hub. The valve hub defines a main port and a side port. The main port includes a hub body, a compressible seal disposed within the hub body, a pusher at least partially positioned within the hub body and slidably movable relative thereto, and a lock nut partially surrounding the pusher. The lock nut is threadably engaged with the pusher such that rotation of the lock nut moves the pusher axially toward and/or away from the compressible seal.

Abstract: The system described herein introduces a cache that a file system uses to determine, for a current object, if the process to merge different types of access control information into merged access control information has already been performed for a previous object. Stated alternatively, the file system uses the cache to determine whether a current object being processed for storage has the same combination of access control information as a previous object that has already been processed for storage. If the current object has the same combination of access control information as the previous object, the file system is able to associate merged access control information for the previous object with the current object via the use of a pointer. Consequently, the file system avoids having to perform the resource-intensive process of merging the different types of access control information for the current object.

Abstract: A guide catheter is adapted for providing improved backup support while accessing an ostium of a patient's left coronary artery. The guide catheter includes an elongate shaft having a proximal shaft portion and a power zone shaft portion. The elongate shaft includes an inner polymeric layer extending through the proximal shaft portion and the power zone shaft portion, and outer polymeric layer, and a braid that is disposed between the inner polymeric layer and the outer polymeric layer and extends through the proximal shaft portion and the power zone shaft portion, the braid having a first PIC count within the power zone shaft portion and a second PIC count within the proximal shaft portion. The elongate shaft is biased into a primary curve disposed distal of the power zone shaft portion and a coplanar secondary curve disposed within the power zone shaft portion.

Abstract: Methods and systems for using machine learning systems to create models that define a first tier of initial event case users and user accounts, a second tier of users and user accounts that are interaction counterparties of first tier user accounts, and a third tier of users and user accounts that are interaction counterparties of second tier customer accounts. The processor may then identify first and second tier users and user accounts affiliated with an a fraudulent case history and may classify each first tier user according to risk based on interaction counterparty account links to various second tier users or links to various third tier users via interaction counterparty account links between second and third tier users.

Abstract: The system described herein introduces a file system operation that enables a file system to delete a directory tree without the overhead associated with opening each file in the directory tree, marking the file for deletion, and closing the file. Accordingly, the file system is able to delete directories and files in the directory tree independent of communicating with, and being transparent to, filter drivers in the operating system. The file system operation is implemented via a directory tree delete attribute included in a request for deletion of a directory tree. The file system can perform the file system operation in a foreground manner or in a deferred manner based on the directory tree delete attribute respectively specifying foreground deletion or deferred deletion. By operating on files and directories in a single invocation, the file system can optimize overheads related to security checks and data transfer across a user-to-kernel boundary.

Abstract: Techniques for learning and using content type embeddings. The content type embeddings have the useful property that a distance in an embedding space between two content type embeddings corresponds to a semantic similarity between the two content types represented by the two content type embeddings. The closer the distance in the space, the more the two content types are semantically similar. The farther the distance in the space, the less the two content types are semantically similar. The learned content type embeddings can be used in a content suggestion system as machine learning features to improve content suggestions to end-users.

Abstract: Methods for updating ephemeral keys on quick boot of a computing device, including determining, by a processor of the computing device, that a power-on transition is from a quick boot and generating, in a secure portion of the processor, a new ephemeral key for use in wrapping one or more encryption keys of a key ring for use in an unsecure portion of the processor in response to the quick boot. The secure portion of the processor may unwrap each of the one or more encryption keys of the key ring with a prior ephemeral key before wrapping the one or more encryption keys with the new ephemeral key.

Abstract: The system described herein introduces a cache that a file system uses to determine, for a current object, if the process to merge different types of access control information into merged access control information has already been performed for a previous object. Stated alternatively, the file system uses the cache to determine whether a current object being processed for storage has the same combination of access control information as a previous object that has already been processed for storage. If the current object has the same combination of access control information as the previous object, the file system is able to associate merged access control information for the previous object with the current object via the use of a pointer. Consequently, the file system avoids having to perform the resource-intensive process of merging the different types of access control information for the current object.

Abstract: An illustrative computing system for an intelligent web service verification and validation system processes base input to identify a web service for testing. The intelligent web service verification and validation system processes user defined functional inputs, expected outputs, and assertions with a machine learning engine to provide functional inputs, expected outputs, and assertions based on provided input. The intelligent web service verification and validation system generates a test case pattern, such as a minimally sized test case pattern for regression testing. The intelligent web service verification and validation system executes testing of the service based on the test case pattern and logs test data in a data repository. The intelligent web service verification and validation system analyzes validation and test information, including inputs, outputs, and assertions, using a machine learning algorithm to improve future input and test case generation and testing procedures for the web service.

Abstract: An introducer sheath including a valve hub and an elongate shaft extending from the valve hub. The valve hub defines a main port and a side port. The main port includes a hub body, a compressible seal disposed within the hub body, a pusher at least partially positioned within the hub body and slidably movable relative thereto, and a lock nut surrounding the pusher. The lock nut is threadably engaged with the hub body such that rotation of the lock nut moves the pusher axially toward and/or away from the compressible seal.

Abstract: An introducer sheath including a valve hub and an elongate shaft extending from the valve hub. The valve hub defines a main port and a side port. The main port includes a hub body, a seal disposed within the hub body, a main port lid attached to the hub body, a tightening port hub attached to the main port lid, a compressible seal disposed within a lumen of the tightening port hub, a pusher at least partially positioned within the lumen of the tightening port hub and slidably movable relative thereto, and a lock nut surrounding the pusher. The lock nut is threadably engaged with the tightening port hub such that rotation of the lock nut moves the pusher axially toward and/or away from the compressible seal.

Abstract: The techniques disclosed herein enable systems to store file system metadata on append-only storage devices by the introduction of a metadata layout and relative references. To achieve this, a system analyzes a file metadata structure to select an approach to storing the metadata structure on the storage device. If the metadata structure is above a threshold size, it is separated into layers that are then appended to the storage device from lowest to highest. An offset is retrieved for appended layers and provided to upper-level layers that refer to them until the full structure is stored. For storing smaller pieces of metadata that refer to each other, the system configures upper-level nodes with relative references that express the location of metadata relative to the node. This enables atomic write operations for smaller metadata structures and/or portions of larger structures.

Abstract: A method and/or system for automated estimation of 3D orientation of a physical asset using deep learning models and computer vision algorithms, according to one or more embodiments. The system may be configured to receive images of the physical asset and camera orientation data as input, use deep learning neural network models to isolate the physical assets across the images, track each physical asset instance throughout the images and derive a 3D point cloud model of each asset by projecting binary masks of the asset contours from different view-points. The 3D point cloud model is further processed and supplemented with camera orientation data to estimate the 3D orientation of one or more assets present in the images.