Abstract: A balun is enhanced with design features that extend the operational bandwidth of the balun allowing the balun to operate at lower frequencies. The design enhancements also suppress resonances that otherwise cause sudden power drops at a resonance frequency while a load is connected between the balun's differential outputs.

Abstract: Embodiments disclose a system and method for reducing virtual address translation latency in a wide execution engine that implements virtual memory. One example method describes a method comprising receiving a wavefront, classifying the wavefront into a subset based on classification criteria selected to reduce virtual address translation latency associated with a memory support structure, and scheduling the wavefront for processing based on the classifying.

Abstract: A device comprises a retractable shaft; a shaft biasing spring; and an actuator button. The retractable shaft is biased away from the actuator button by the shaft biasing spring. A magnetic attracting force is created between the retractable shaft and the actuator button upon actuation of the actuator button. Before actuation, a distance between the actuator button and the retractable shaft is great enough that the magnetic attracting force is less than a biasing force of the shaft biasing spring such that the retractable shaft is biased away from the actuator button. Upon actuation, the actuator button is depressed to make the distance between the actuator button and the retractable shaft sufficiently small such that the magnetic attracting force is greater than the biasing force of the shaft biasing spring to allow the retractable shaft to be biased towards the actuator button.

Abstract: In certain example embodiments, a system and/or method of guiding transitions between therapy modes in connection with the treatment and/or diagnosis of a patient for a respiratory disorder is/are provided. Respiratory disorder treatment according to a first therapy mode is provided. Input indicating a second therapy mode to be transitioned to following provision of the first therapy mode is received, with the second therapy mode being different from the first therapy mode. At least one default treatment parameter suitable for the second therapy mode is assigned or calculated. Each default treatment parameter of the second therapy mode is presented, with each default treatment parameter being adjustable by an operator during the presenting. Transitioning from the first therapy mode to the second therapy mode is performed by providing respiratory disorder treatment in accordance with the second therapy mode and each default treatment parameter and any adjustments made thereto prior to the transitioning.

Abstract: Mechanisms to reduce noise and/or energy consumption in PAM communication systems, utilizing conditional symbol substitution in each burst interval of a multi-data lane serial data bus.

Abstract: In certain example embodiments, a system and/or method of guiding transitions between therapy modes in connection with the treatment and/or diagnosis of a patient for a respiratory disorder is/are provided. Respiratory disorder treatment according to a first therapy mode is provided. Input indicating a second therapy mode to be transitioned to following provision of the first therapy mode is received, with the second therapy mode being different from the first therapy mode. At least one default treatment parameter suitable for the second therapy mode is assigned or calculated. Each default treatment parameter of the second therapy mode is presented, with each default treatment parameter being adjustable by an operator during the presenting. Transitioning from the first therapy mode to the second therapy mode is performed by providing respiratory disorder treatment in accordance with the second therapy mode and each default treatment parameter and any adjustments made thereto prior to the transitioning.

Abstract: A dark fiber dense wavelength division multiplexing service path design microservice (ddSPDmS) can provide a scalable self-contained meta-data driven approach for a flexible implementation of a dark fiber dense wavelength division multiplexing (DWDM) service path design solution. The service plan design solution can be used as a standalone solution or integrated with a network management application. In order to manage a large volume of circuit designs, multiple microservices can accept application program interface (API) requests in a cloud environment. Permission can then be given to any application to use the API to make a call to the design and inventory. Additionally, metadata templates can be designed to support a node, a link, and/or a topology for the microservices.

Abstract: A method for treating an aneurysm can include inserting a medical device partially in a first artery and partially in a third artery. The device can be expanded radially outwardly from a first, position to a second position to engage an inner surface of the first artery and an inner surface of the third artery, so as to maintain a fluid pathway through said arteries. Further, the device can be positioned such that, when the device is in the second position, a porous membrane of the device is located at a neck of the aneurysm.

Abstract: A dark fiber dense wavelength division multiplexing service path design microservice (ddSPDmS) can provide a scalable self-contained meta-data driven approach for a flexible implementation of a dark fiber dense wavelength division multiplexing (DWDM) service path design solution. The service plan design solution can be used as a standalone solution or integrated with a network management application. In order to manage a large volume of circuit designs, multiple microservices can accept application program interface (API) requests in a cloud environment. Permission can then be given to any application to use the API to make a call to the design and inventory. Additionally, metadata templates can be designed to support a node, a link, and/or a topology for the microservices.

Abstract: Implementations include receiving image data representative of images of items within a physical environment and depicting defects in at least one item, providing one or more of a set of augmented images using image augmentation based on the image data and a set of synthetic images using ML-based image synthesis based on the image data, processing one of the set of augmented images and the set of synthetic images using an ML model to provide a set of defect characteristics representative of defects in the at least one item, providing one or more root causes of each of the one or more defects by processing the set of defect characteristics and ancillary data, the ancillary data representative of the physical environment, and generating one or more alerts based on the one or more root causes for remediation of at least one root cause of the one or more defects.

Abstract: Implementations include receiving image data representative of images of items within a physical environment and depicting defects in at least one item, providing one or more of a set of augmented images using image augmentation based on the image data and a set of synthetic images using ML-based image synthesis based on the image data, processing one of the set of augmented images and the set of synthetic images using an ML model to provide a set of defect characteristics representative of defects in the at least one item, providing one or more root causes of each of the one or more defects by processing the set of defect characteristics and ancillary data, the ancillary data representative of the physical environment, and generating one or more alerts based on the one or more root causes for remediation of at least one root cause of the one or more defects.

Abstract: Implementations include receiving two or more time-series data sequences representative of a target process executed within a physical environment, executing automated time-series process segmentation to provide a plurality of subsequence segments for each of the two or more time-series data sequences, each subsequence segment corresponding to a phase of the target process, processing the two or more subsequence segments using at least one time-series transformation to provide a feature data set for each subsequence segment, applying each feature data set to provide time-series models for anomaly detection and forecasting, respectively, each time-series model being provided as one of a recurrent neural network (RNN), a convolution neural network (CNN), and a generative adversarial network (GAN), determining anomaly scores based on the time-series models, and selectively providing an alert to one or more users, each alert indicating at least one anomaly and a respective probability.

Abstract: Techniques, devices, and systems are provided that allow for driving a device such as an OLED in various pulsed modes in which a momentary luminance greater than an apparent luminance at which the OLED is to be driven is used. The use of one or more pulsed modes allows for the lifetime of the OLED to be extended and reduces image sticking. Pulsed modes are also provided that allow for color tuning of the device by activating different portions of one or more emissive areas of the device.

Abstract: A signature encoded light system includes at least one light source. The at least one light source is configured to output a first encoded light signature embedded within light in the visible spectrum. A light signature detection device is configured to receive a composite light signal formed with light from the at least one light source and ambient light. The light signature detection device is configured to identify the first encoded light signature.

Abstract: Methods of operating a serial data bus divide series of data bits into sequences of one or more bits and encode the sequences as N-level symbols, which are then transmitted at multiple discrete voltage levels. These methods may be utilized to communicate over serial data lines to improve bandwidth and reduce crosstalk and other sources of noise.