Abstract: Methods, apparatus, and systems used to deliver a prosthetic heart valve to a deficient valve are provided. For example, a support member is positioned to at least partially surround the native leaflets of a valve. A locking member is used to couple both ends of the support member, forming a support band. An expandable prosthetic heart valve is delivered into the native heart valve and expanded while the expandable prosthetic valve is at least partially within the support band, thereby causing one or more of the native leaflets of the native heart valve to be frictionally secured between the support band and the expanded prosthetic heart valve.

Abstract: In one embodiment, a delivery apparatus handle, such as for a mechanical heart valve frame can comprise an actuation knob with a toggle mechanism that can toggle the actuation knob from a first state in which the actuation knob is operable to cause the linear or rotational movement of multiple elements or sets of elements, such as tubes that are attached to, e.g., a mechanical heart valve frame to cause expansion or collapsing of the frame, to a second state in which only a single element or set of elements is moved, allowing for additional operations, such as, e.g., locking the frame and/or releasing it from the delivery apparatus.

Abstract: The present disclosure encompasses solid state forms of Belumosudil, in embodiments crystalline polymorphs of Belumosudil or salts thereof, processes for preparation thereof, and pharmaceutical compositions thereof.

Abstract: Recurrent Neural Networks (RNNs) wherein a non-volatile memory (NVM) array provides a memory bank for the RNN. The RNN may include a Neural Turning Machine (NTM) and the memory bank may be an NTM matrix stored in the NVM array. In some examples, a data storage device (DSD) that controls the NVM array includes both a data storage controller and a separate NTM controller. The separate NTM controller accesses the NTM matrix of the NVM array directly while bypassing flash translation layer (FTL) components of the data storage controller. Additionally, various majority wins error detection and correction procedures are described, as well as various disparity count-based procedures.

Abstract: Methods and systems for managing workloads are disclosed. The workloads may be supported by operation of workload components that are hosted by infrastructure. The hosted locations of the workload components by the infrastructure may impact the performance of the workloads. To manage performance of the workloads, an optimization process may be performed to identify a migration plan for migrating some of the workload components to other infrastructure such as shared edge infrastructure and cloud infrastructure temporarily or permanently. Migration of the workload components may reduce the computing resource cost for performing various workloads and/or reduce workload performance disruptions.

Abstract: Methods and systems for identifying areas of interest in an image and management of images are disclosed. To manage identification of areas of interest in an image, subject matter expert driven processes may be used to identify the areas of interest. The identified areas of interest may be used to establish plans to guide subsequent use of the image. The identified areas of interest may also be used to establish plans to cache portions of the image to speed subsequent use of the image.

Abstract: Methods and systems for managing storage of data are disclosed. To manage storage of data, images may be stored across a number of storages that provide varying levels of storage performance and have correspondingly varying costs for storing data. To store the images across the storages, the images may be segmented into image segments and a likelihood of each of the image segments being used in the future may be identified. The image segments that are more likely to be used in the future may be stored in higher performance storages while the image segments that are less likely to be used in the future may be stored in lower performance storages. To identify the likelihood of each of the image segments being used in the future, the image segments may be classified based on their membership in one or more areas of interest within the images.

Abstract: A power line communication device including a current path provided between a first terminal and a second terminal. A coupling circuit connected between the first and second terminals includes a first circuit of a first inductor connected in parallel with a first capacitor and a first resistor. A sensor is configured to sense a communication parameter of the coupling circuit. The communication parameter may be a resonance of the first circuit, the quality (Q) factor of the resonance, the bandwidth (BW) of the coupling circuit, the resistance of the first resistor, or the impedance of the first circuit. A transceiver is adapted to couple to the first and second terminal to transmit a signal onto the current path or receive a signal from the current path responsive to the parameter of the coupling circuit and a level of current in the current path sensed by the sensor.

Abstract: Methods and systems for operating biosystem on a chip are disclosed. To operate biosystem on a chip based systems, causal mechanisms may be identified based on previous operations performed by the biosystem chip based systems. The causal mechanisms may be used to develop new operation plans, refine existing operation plans, and/or develop new biosystem on a chip architecture. The causal mechanism may be derived from a causal graph that includes nodes representing unknown causal mechanisms. Data regarding previous operations in combination with the causal graph may be used to learn the unknown causal mechanisms.

Abstract: Systems and methods for verifying a pose of a target may include causing a robotic arm to contact a target with a verification tool to yield first pose information of the target and receiving second pose information of the target. The pose of the target may be verified based on the first pose information and the second pose information.

Abstract: Methods and systems for managing storage of data are provided. To manage storage of data, images may be stored along with data usable to facilitate subsequent interpretation of the images. The data may provide information to a subsequent interpreter regarding how a previous outcome was made using the image. The data may allow the subsequent interpreter to understand how the previous interpreter viewed portions of the image, the order in which the portion of the images were viewed by the previous interpreter, etc. The subsequent interpreter may be provided with context regarding landmarks or other features of the image added by the previous interpreter and identified by the previous interpreter as being relevant to the outcome.

Abstract: Methods and systems for storing and managing biosystem on a chip data disclosed. To store the data, operation data from the biosystem on a chip may be stored in a database. To manage use of the stored data, a graph representation of the biosystem on a chip. The nodes of the graph representation may correspond to the architectural features of the biosystem on a chip. The edges between the nodes may be based on whether the corresponding architectural features are in communication with one another. Each of the nodes may be associated with pointers that point to portions of the operation data in the database that is relevant to the architecture feature associated with the respective node.

Abstract: Methods and systems for obtaining synthesized images are disclosed. To obtain synthesized images, an imaging system may obtain areas of interest associated with an image. The areas of interest may be keyed to various processes and/or services. A downstream consumer of the services may retrieve the areas of interest to perform further analysis. In order to more easily interpret the areas of interest, the areas of interest may be displayed to the downstream consumer as part of a synthesized image. The synthesized image may include the areas of interest and a synthesized environment. The synthesized environment may be intended to emulate an environment in which the downstream consumer may expect to find the areas of interest. By doing so, the downstream consumer may be able to understand and contextualize the areas of interest more easily than if viewing the areas of interest alone.

Abstract: Methods for deploying connected power devices and systems of connected power devices prior to deployment in a photovoltaic installation are described. For example, a string of power devices pre-coupled by conductors is disclosed, which saves cost, provides convenient storage, reduces electromagnetic interference, and is easy to deploy.

Abstract: Methods and systems for identifying areas of interest in an image are disclosed. To manage identification of areas of interest in an image, a combination of automated and subject matter expert driven processes may be used to identify the areas of interest. Some areas of interest may be highly relevant for a user of an image and may be classified as primary areas of interest. The image and subsequent use of the image may be enhanced through the areas of interest by improving storage and downstream usability of the image.

Abstract: An apparatus comprising an input stage comprising a first input, a second input, a first AC coupler, and a second AC coupler. The first AC coupler is coupled between the first input and a third input. The second AC coupler is coupled between the second input and a fourth input. A comparator coupled to the third input, the fourth input, and an output. The comparator provides an output signal at the output based on a comparison between a level of a first voltage at the third input, and a level of a second voltage at the fourth input. A feedback circuit, coupled to the output, the third input, and the fourth input. The feedback circuit receives the output signal, and provides, based on the output signal, a first feedback voltage to the third input.

Abstract: Methods and systems for identifying areas of interest in an image and management of images are disclosed. To manage identification of areas of interest in an image, subject matter expert driven processes may be used to identify the areas of interest. The identified areas of interest may be used to maintain a database usable to guide subsequent use of the images. The database may associate image segments of the images with various landmarks and/or area of interest. The associations may be used to limit the quantity of image segments read from storage during subsequent use of the images.

Abstract: Methods and systems for operating biosystem on a chip are disclosed. To operate biosystem on a chip based systems, likely faults in the operation of the system may be predicted. Algorithms usable to mitigate the predicted likely faults may be identified, and ranked based on a level of impact that access to data reelecting the operation of the system may have on the utility of the algorithms. Higher ranked algorithms may be deployed for execution during operation of the system to lower latency locations while lower ranked algorithms may be deployed for execution to higher latency locations. The lower latency locations may include computing resources that are local to the biosystem on a chip, but that may be limited in quantity.

Abstract: Methods and systems for identifying areas of interest in an image are disclosed. To manage identification of areas of interest in an image, a trained inference model may generate inferences based on the pixels of the image. The inferences may include areas of interest that contributed to the generation of the inferences. Some areas of interest may be highly relevant to the inferences and may be classified as primary areas of interest. Auxiliary areas of interest may also be identified using a trained inference model. Auxiliary areas of interest may be obtained by calculating gradients for each pixel that contributed to the identification of the primary areas of interest. By rank ordering the pixels, pixels with the highest contribution to the identification of the primary areas of interest may be identified. Proximate groupings of these pixels may be classified as auxiliary areas of interest in the image.

Abstract: Methods and systems for inference generation are disclosed. To manage inference generation, a system may include an inference model manager and any number of data processing systems. The inference model manager may represent an inference model as a bipartite graph. To obtain portions of the inference model, the bipartite graph may be partitioned into portions and the portions may undergo an optimization process. The optimization process may include adding and/or competing for nodes of the bipartite graph in order to increase the stability of the portion with respect to the available computing resources of a corresponding data processing system. The optimization process may continue until all portions achieve stability in a way that reduces necessary communications between the data processing systems. Each portion of the inference model may be distributed to one data processing system so that the data processing systems may collectively generate inferences usable by a downstream consumer.