Abstract: An acoustic structure presenting a front surface and a back surface is provided. The acoustic structure includes a support layer comprising the back surface, a honeycomb core comprising a thickness defined between a back and a front, and a plurality of walls that define a plurality of honeycomb cells, wherein the plurality of honeycomb cells extend through the thickness of the honeycomb core opening out toward at least the front, and wherein the back of the honeycomb core is affixed to the support layer, a mesh layer affixed to the front of the honeycomb core, and a knit fabric layer affixed to the mesh layer and conforming to the front surface of the acoustic structure.

Abstract: A surface cleaning apparatus includes a recovery tank, a suction nozzle in fluid communication with the recovery tank, and a suction source in fluid communication with the suction nozzle and the recovery tank to generate a working air path to transport debris-containing fluid including air and liquid from the suction nozzle into the recovery tank. An air/liquid separator can be provided within the recovery tank for separating liquid from air in the debris-containing fluid.

Abstract: Bias supplies, plasma processing systems, and associated methods are disclosed. One bias supply comprises a bidirectional switch configured to enable bidirectional control of current. A controller is configured to control a direction of current through the bidirectional switch over a full current cycle, the full current cycle comprising a first half current cycle and a second half current cycle, the first half current cycle comprising positive current flow, starting from zero current that increases to a positive peak value and then decreases back to zero. The second half current cycle comprises negative current flow, starting from zero current that increases to a negative peak value and then decreases back to zero current to cause an application of the periodic voltage between the output node and the return node.

Abstract: The present disclosure provides a surface cleaning apparatus with a housing, a nozzle cover attached to the housing, a headlight, and a nozzle cover sensing mechanism. The nozzle cover sensing mechanism can determine whether the nozzle cover is present on the housing, and the headlight can accordingly be deactivated. Methods for operating the nozzle cover sensing mechanism are also disclosed.

Abstract: A computer-implemented method for a shuffling-type gradient for training a machine learning model using a stochastic gradient descent (SGD) includes the operations of uniformly randomly distributing data samples or coordinate updates of a training data, and calculating the learning rates for a no-shuffling scheme and a shuffling scheme. A combined operation of the no-shuffling scheme and the shuffling scheme of the training data is performed using a stochastic gradient descent (SGD) algorithm. The combined operation is switched to performing only the shuffling scheme from the no-shuffling scheme based on one or more predetermined criterion; and training the machine learning models with the training data based on the combined no-shuffling scheme and shuffling scheme.

Abstract: This document describes a framework for measuring and improving the performance of applications, such as distributed applications and web applications. In one aspect, a method includes performing a test on an application. The test includes executing the application on one or more computers and, while executing the application, simulating a set of workload scenarios for which performance of the application is measured during the test. While performing the test, a set of performance metrics that indicate performance of individual components involved in executing the application during the test is obtained. A knowledge graph is queried using the set of performance metrics. The knowledge graph links the individual components to corresponding performance metrics and defines a set of hotspot conditions that are each based on one or more of the corresponding performance metrics for the individual components. A given hotspot condition is detected based on the set of performance metrics.

Abstract: A computer-implemented method for power grid anomaly detection using a convolutional neural network (CNN) trained to detect anomalies in electricity demand data and electricity supply data includes receiving (i) electricity demand data comprising time series measurements of consumption of electricity by a plurality of consumers, and (ii) electricity supply data comprising time series measurements of availability of electricity by one or more producers. An input matrix is generated that comprises the electricity demand data and the electricity supply data. The CNN is applied to the input matrix to yield a probability of anomaly in the electricity demand data and the electricity supply data. If the probability of anomaly is above a threshold value, an alert message is generated for one or more system operators.

Abstract: A computer-implemented method for site-wide prediction optimization includes training a plurality of a mixed type of regression models with a mixed type of control variables for identifying control set-points of a site-wide operation. A decision tree regression model is trained to predict a status of the plurality of initial set-points for non-linear regression functions. The decision tree regression model is reformulated into a mixed-integer linear program (MILP) and solved by an MILP solver to find a global solution. An MILP surrogate is determined for a nonlinear optimization problem to provide a best solution for one or more of the non-linear regression functions using the best solution as a starting point for solving non-linear regression functions, and a set-point of the mixed control variables is recommended to control a throughput of the site-wide operation by executing a decomposition operation or a federated learning algorithm.

Abstract: The invention relates to a catalytic and/or reactive unit, preferably in the form of a protective material with catalytic and/or reactive properties, particularly with the function of protecting from chemical and/or biological harmful and/or poisonous substances, preferably in the form of a textile protective filter material, as well as a method for producing same. The catalytic and/or reactive unit is particularly suitable for producing protective equipments and/or protective objects, and filter and filter materials of all types.

Abstract: The present invention relates to a pharmaceutical composition for preventing or treating neurodegenerative diseases comprising a diterpene, or a pharmaceutically acceptable salt thereof. Specifically, the diterpene of the present invention can prevent or treat neurodegenerative diseases caused by inhibition of Nurr1 activity by activating Nurr1 and inhibiting the inflammatory response.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for integrating speech-to-text transcription in a productivity application are presented. A request to access a real-time speech-to-text transcription of an audio signal that is being received by a second device is sent by a first device. The real-time speech-to-text transcription may be surfaced in a transcription pane of a productivity application on the first device. A request to translate the transcription to a different language may be received. The transcription may be translated in real-time and surfaced in the transcription pane. A selection of a word in the surfaced transcription may be received. A request to drag the word from the transcription pane and drop it in a window in the productivity application outside of the transcription pane may be received. The word may be surfaced in the window in the productivity application outside of the transcription pane.

Abstract: Blind mate connection techniques and associated connectors are disclosed. Blind mate connectors provide connections where visual inspection at time of connection may not be available. Stacking tolerance increases when connectors have a different set of datums (e.g., a different relative orientation) relative to adjacent connectors. Different datums permit twinning two printed circuit boards (“PCBs”) prior to insertion into a slot of a chassis. Each connector may be attached to a respective PCB utilizing a spring and offset feature to provide a standoff on a respective PCB. Control of standoff and rotational movement (e.g., via brackets) allows each individual connector to have a “float” for improved insertion tolerance. Connector pairs may connect through an opening in a midplane while simultaneously connecting to the midplane. Switch trays and node trays may be inserted through opposing sides of a chassis and be connected through the midplane of that chassis.

Abstract: Techniques for facilitating a robust clock synchronization across a computer network that presumes network jitter exists are discussed herein. A first device and a second device transceive a plurality of sets of time-synchronization messages to synchronize a synchronization clock of the second device to a first clock of the first device. The second device calculates a smoothing of time delay data of a plurality of sets. The time delay data is associated with a transmission duration of time-synchronization messages of the sets of the plurality. The second device sets a synchronization clock based on a time at the first device and the smoothed time delay data.

Abstract: Aspects of the disclosure relate to a dynamic event securitization and neural network analysis system. A dynamic event inspection and securitization computing platform comprising at least one processor, a communication interface, and memory storing computer-readable instructions may securitize event data prior to authorizing execution of the event. A neural network event analysis computing platform comprising at least one processor, a communication interface, and memory storing computer-readable instructions may utilize a plurality of event analysis modules, a neural network, and a decision engine to analyze the risk level values of data sharing events. The dynamic event inspection and securitization computing platform may interface with the neural network event analysis computing platform by generating data securitization flags that may be utilized by the neural network event analysis computing platform to modify event analysis results generated by the event analysis modules.

Abstract: Aspects of the disclosure relate to a dynamic event securitization and neural network analysis system. A dynamic event inspection and securitization computing platform comprising at least one processor, a communication interface, and memory storing computer-readable instructions may securitize event data prior to authorizing execution of the event. A neural network event analysis computing platform comprising at least one processor, a communication interface, and memory storing computer-readable instructions may utilize a plurality of event analysis modules, a neural network, and a decision engine to analyze the risk level values of data sharing events. The dynamic event inspection and securitization computing platform may interface with the neural network event analysis computing platform by generating data securitization flags that may be utilized by the neural network event analysis computing platform to modify event analysis results generated by the event analysis modules.

Abstract: Aspects of the disclosure relate to a dynamic event securitization and neural network analysis system. A dynamic event inspection and securitization computing platform comprising at least one processor, a communication interface, and memory storing computer-readable instructions may securitize event data prior to authorizing execution of the event. A neural network event analysis computing platform comprising at least one processor, a communication interface, and memory storing computer-readable instructions may utilize a plurality of event analysis modules, a neural network, and a decision engine to analyze the risk level values of data sharing events. The dynamic event inspection and securitization computing platform may interface with the neural network event analysis computing platform by generating data securitization flags that may be utilized by the neural network event analysis computing platform to modify event analysis results generated by the event analysis modules.

Abstract: This document discloses a system and method for polishing a metal surface, using a grinding machine and a burnishing machine. The grinding machine comprises an arm coupled with a grinding wheel for grinding the internal surface of a workpiece, an arm rotation drive block configured to drive rotation of the arm around its longitudinal axis, an arm movement drive block configured to move the arm longitudinally and vertically, and rollers for rotating the workpiece around its cylindrical axis via friction with an external surface of the workpiece. The arm comprises a fixed main shaft, a universal joint shaft and a head section coupled with the grinding wheel, wherein the head section is configured to oscillate vertically, allowing the grinding wheel to follow up-and-down fluctuations of the workpiece. The burnishing machine is configured to tumble the workpiece including a tumbling detergent and tumbling beads therein.

Abstract: The application relates to a communication device comprising: a communication interface configured to transmit a pilot signal via a communication channel to a second communication device and to receive a plurality of data elements representing channel state information (CSI) from the second communication device, wherein the plurality of data elements are a subset of a set of data elements representing the full channel state information (CSI) being available at the second communication device; and a processing unit configured to generate the full channel state information (CSI) on the basis of the plurality of data elements by applying a fitting scheme to the plurality of data elements received from the second communication device.

Abstract: The present disclosure provides a surface cleaning apparatus with a housing, a nozzle cover attached to the housing, a headlight, and a nozzle cover sensing mechanism. The nozzle cover sensing mechanism can determine whether the nozzle cover is present on the housing, and the headlight can accordingly be deactivated. Methods for operating the nozzle cover sensing mechanism are also disclosed.

Abstract: The present disclosure provides a surface cleaning apparatus that includes a headlight or other light source that selectively illuminates upon the occurrence of a predetermined condition. The headlight turns on to emit light when the surface cleaning apparatus us turned on, and emits light in a different color when cleaning fluid is dispensed. Methods for operating a headlight or light source are also disclosed.