Abstract: One or more embodiments of the disclosure include a digital merchant content system that creates one or more custom merchant content interfaces. In particular, in one or more embodiments, the digital merchant content system generates custom merchant content interfaces based on a custom merchant content template. The digital merchant content system can generate custom merchant content templates comprising unpopulated product display layouts. Moreover, in one or more embodiments, the digital merchant content system receives a product feed and generates a custom merchant content interface by populating the unpopulated product display layouts based on the custom merchant content template and the product feed.

Abstract: A device may receive historical data and real-time data associated with a troubleshooting service, identify, using a machine learning model, an optimal resolution based on the historical data and the real-time data, and identify, using a graph analytics model, an optimal path of actions based on the optimal resolution. The machine learning model may be trained to identify one of the set of historical issues associated with the unresolved issue, and identify the optimal resolution based on one of the set of historical resolutions associated with the one of the set of historical issues. The graph analytics model may be trained to generate a set of paths of actions based on the historical data, and identify the optimal path based on respective numbers of actions associated with the set of paths. The device may identify optimal action based on the optimal path and the prior action.

Abstract: Provided herein are dyes, dye-sensitized solar cells, and sequential series multijunction dye-sensitized solar cell devices. The dyes include an electron deficient acceptor moiety, a medium electron density ?-bridge moiety, and an electron rich donor moiety comprising a biaryl, a substituted biaryl, or an R1, R2, R3 substituted phenyl where each of R1, R2, and R3 independently comprises H, aryl, multiaryl, alkyl substituted aryl, alkoxy substituted aryl, alkyl substituted multiaryl, alkoxy substituted multiaryl, OR4, N(R5)2, or a combination thereof; each R4 independently comprises H, alkyl, aryl, alkyl substituted aryl, alkoxy substituted aryl, or a combination thereof; and each R5 independently comprises aryl, multiaryl, alkyl substituted aryl, alkoxy substituted aryl, alkyl substituted multiaryl, alkoxy substituted multiaryl, or a combination thereof. The solar cells include a glass substrate, a dye-sensitized active layer, and a redox shuttle.

Abstract: An inflatable slide-raft may include a primary inflatable structure configured to inflate upon deployment of the inflatable slide-raft, a first secondary inflatable structure coupled to the primary inflatable structure, and a second secondary inflatable structure coupled to the primary inflatable structure. The first secondary inflatable structure and the second secondary inflatable structure siderail are configured to remain in a stowed state when the inflatable slide-raft is operated in a slide mode and to inflate when the inflatable slide-raft is operated in a raft mode.

Abstract: Systems and processes are disclosed to preserve data integrity during a storage controller failure. In some examples, a storage controller of an active-active controller configuration can back-up data and corresponding cache elements to allow a surviving controller to construct a correct state of a failed controller's write cache. To accomplish this, the systems and processes can implement a relative time stamp for the cache elements that allow the backed-up data to be merged on a block-by-block basis.

Abstract: Techniques and systems are provided for determining one or more camera settings. For example, an indication of a selection of an image quality metric for adjustment can be received, and a target image quality metric value for the selected image quality metric can be determined. A data point can be determined from a plurality of data points. The data point corresponds to a camera setting having an image quality metric value closest to the target image quality metric value.

Abstract: Techniques are described for estimating intentions of pedestrians and other road users in vicinity of a vehicle. In certain embodiments, the techniques comprise obtaining, by a computer system of a vehicle equipped with one or more sensors, a sequence of video frames corresponding to a scene external to the vehicle, detecting one or more vulnerable road users (VRUs) in the sequence of video frames, wherein the detecting comprises estimating pose of each of the detected one or more VRUs. The techniques further include generating a segmentation map of the scene using one or more of the video frames; estimating one or more intention probabilities using estimated pose of the one or more VRUs and the segmentation map, each intention probability corresponding to one of the detected one or more VRUs, and adjusting one or more automated driving actions based on the estimated one or more intention probabilities.

Abstract: A computerized method for transforming an interactive graphical user interface according to machine learning includes selecting a persona, loading a data structure associated with the selected persona, and generating the interactive graphical user interface. The method includes, in response to a user selecting a first selectable element, inputting a first set of explanatory variables to a first trained machine learning model to generate a first metric, and transforming the user interface according to the selected persona and the first metric. The method includes, in response to the user selecting a second selectable element, inputting a second set of explanatory variables to a second trained machine learning model to generate a second metric, and transforming the user interface according to the selected persona and the second metric. In various implementations, first metric is a first probability of the persona being approved for a first prior authorization prescription.

Abstract: A computerized method for transforming a user interface according to machine learning includes selecting a persona and determining whether a first condition is true for an associated data structure. In response to determining the first condition is true, the method includes determining whether a second condition is true. In response to determining the second condition is not true, the method includes loading a first trained machine learning model, inputting a first set of explanatory variables to generate a first metric, and transforming the user interface according to the first metric. In response to determining the second condition is true, the method includes determining whether a third condition is true. In response to determining the third condition is true, loading a second trained machine learning model, inputting a second set of explanatory variables to generate a second metric, and transforming the user interface according to the second metric.

Abstract: A system includes a first device and a second device coupled to a link. The first device is to transmit one or more request frames for synchronization of a data layer, each request frame including a quantity of bits and an error code. The second device is to receive a first set of bits corresponding to the quantity of bits in each request frame. The second device is to perform an error decode operation on the first set of bits using a first portion of the first set of bits and determine the first set of bits correspond to a frame boundary of the one more request frames responsive to a success of the error decode operation. The second device is to transmit an acknowledgement of the synchronization of the data layer based on determining the first set of bits corresponds to the frame boundary.

Abstract: Methods and systems are disclosed herein for using anomaly detection in timeseries data of user sentiment to detect incidents in computing systems and identify events within an enterprise. An anomaly detection system may receive social media messages that include a timestamp indicating when each message was published. The system may generate sentiment identifiers for the social media messages. The sentiment identifiers and timestamps associated with the social media messages may be used to generate a timeseries dataset for each type of sentiment identifier. The timeseries datasets may be input into an anomaly detection model to determine whether an anomaly has occurred. The system may retrieve textual data from the social media messages associated with the detected anomaly and may use the text to determine a computing system or event associated with the detected anomaly.

Abstract: In accordance with an embodiment, described herein is a system and method for use with a cloud computing environment, for estimation of performance impact upon a hypervisor provided within such environments, and the use of such estimation in placing virtual machines within the environment. A noisy-neighbor score value, generated for a particular hypervisor socket on a multi-core processor architecture, provides a predicted measure of performance drop which affected virtual machines placed on that hypervisor socket may experience at a particular point in time, due to activity of neighboring virtual machines on one or more sockets of the hypervisor. The predicted measure of performance drop can be automatically calculated by the system based on the amount and nature of compute usage on the hypervisor, and data defining a machine learning model developed from or through the operation and assessment of controlled noisy-neighbor studies over a collection of compute and memory-intensive workloads.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program executable by a device. The program receives a request to process a file. The file includes a set of images of text. The program further converts the text in each image in the set of images into a set of machine-readable text. The program also uses a machine learning model to predict, based on the set of machine-readable text, whether the set of images of the file are images of pages that belong to a single document or images of pages that belong to different documents.

Abstract: A system includes a first device and a second device coupled to a link. The first device is to transmit one or more request frames for synchronization of a data layer, each request frame including a quantity of bits and an error code. The second device is to receive a first set of bits corresponding to the quantity of bits in each request frame. The second device is to perform an error decode operation on the first set of bits using a first portion of the first set of bits and determine the first set of bits correspond to a frame boundary of the one more request frames responsive to a success of the error decode operation. The second device is to transmit an acknowledgement of the synchronization of the data layer based on determining the first set of bits corresponds to the frame boundary.

Abstract: One or more embodiments of the disclosure include a digital merchant content system that creates one or more custom merchant content interfaces. In particular, in one or more embodiments, the digital merchant content system generates custom merchant content interfaces based on a custom merchant content template. The digital merchant content system can generate custom merchant content templates comprising unpopulated product display layouts. Moreover, in one or more embodiments, the digital merchant content system receives a product feed and generates a custom merchant content interface by populating the unpopulated product display layouts based on the custom merchant content template and the product feed.

Abstract: An exemplary indicator mechanism is configured for use with a door closer including a body and an adjustment screw. The indicator mechanism generally includes an indicator, at least one indicium, and a cycloidal drive. The cycloidal drive is configured to selectively align the indicator and the at least one indicium in response to rotation of the adjustment screw to thereby indicate an operating characteristic of the door closer.

Abstract: A branch predictor of a processor includes one or more prediction structures, including a predicted branch address and predicted branch direction, that identify predicted branches. To reduce power consumption, the branch predictor selects one or more of the prediction structures that are not expected to provide useful branch prediction information and filters the selected structures such that the filtered structures are not used for branch prediction. The branch predictor thereby reduces the amount of power used for branch prediction without substantially reducing the accuracy of the predicted branches.

Abstract: A device may receive historical data and real-time data associated with a troubleshooting service, identify, using a machine learning model, an optimal resolution based on the historical data and the real-time data, and identify, using a graph analytics model, an optimal path of actions based on the optimal resolution. The machine learning model may be trained to identify one of the set of historical issues associated with the unresolved issue, and identify the optimal resolution based on one of the set of historical resolutions associated with the one of the set of historical issues. The graph analytics model may be trained to generate a set of paths of actions based on the historical data, and identify the optimal path based on respective numbers of actions associated with the set of paths. The device may identify optimal action based on the optimal path and the prior action.

Abstract: An exemplary modular hold-open device is configured for use with a door closer comprising a body, a pinion rotatably mounted to the body, and an armature connected with the pinion. The modular hold-open device is configured to be mounted to the door closer, to selectively prevent rotation of the pinion by exerting on the pinion a resistive torque in a door-opening direction, and to cease exerting the resistive torque in response to a door-closing torque on the pinion exceeding a threshold torque to thereby permit rotation of the pinion in the door-closing direction.

Abstract: Provided herein are dyes, dye-sensitized solar cells, and sequential series multijunction dye-sensitized solar cell devices. The dyes include an electron deficient acceptor moiety, a medium electron density ?-bridge moiety, and an electron rich donor moiety comprising a biaryl, a substituted biaryl, or an R1, R2, R3 substituted phenyl where each of R1, R2, and R3 independently comprises H, aryl, multiaryl, alkyl substituted aryl, alkoxy substituted aryl, alkyl substituted multiaryl, alkoxy substituted multiaryl, OR4, N(R5)2, or a combination thereof, each R4 independently comprises H, alkyl, aryl, alkyl substituted aryl, alkoxy substituted aryl, or a combination thereof; and each R5 independently comprises aryl, multiaryl, alkyl substituted aryl, alkoxy substituted aryl, alkyl substituted multiaryl, alkoxy substituted multiaryl, or a combination thereof. The solar cells include a glass substrate, a dye-sensitized active layer, and a redox shuttle.