Abstract: A food wash reference fluid delivery apparatus includes a portable reference fluid reservoir comprising an inlet and an outlet and configured to store a reference fluid that includes a predetermined concentration of an analyte, a pump fluidly coupled to the outlet of the portable reference fluid reservoir and configured to pump the reference fluid from the outlet of the portable reference fluid reservoir, a sensor connector configured to fluidly couple with a sensor positioned along a fluid flow path of the food wash system, a sensor fluid line configured to provide the reference fluid from the pump to the sensor connector, an inlet fluid line configured to provide the reference fluid from the pump to the inlet of the portable reference fluid reservoir, and a valve configured to adjustably control a fluid flow rate of the reference fluid through the sensor fluid line and the inlet fluid line.

Abstract: Embodiments relate to a virtualization layer capturing replayable execution traces of VMs managed by the virtualization layer. Execution tracing can be performed on any unit of execution managed by the virtualization layer, e.g., threads, processes, virtual processors, individual VMs, multiple VMs, etc. Traced execution units may be executing in parallel. Execution tracing involves capturing to a buffer: executed instructions, memory inputted to instructions, memory outputted by instructions, registers touched by instructions, and ordering markers. Trace data can be captured in chunks, where causality is preserved and ordering is preserved between chunks but not necessarily within chunks. The chunks may be delineated by inserting monotonically increasing markers between context switches, thus relatively ordering the chunks. Determinism may be partially provided by identifying non-deterministic events. VM tracing may be transparent to guest software, which need not be instrumented.

Abstract: A method for preparing a press-hardened steel component is provided. The method includes forming a heated blank by heating a steel alloy blank to a first temperature in a first zone of a furnace having two or more zones, and after the heating of the steel alloy blank to the first temperature, heating the steel alloy blank to a second temperature in a second zone of the furnace. The second temperature is greater than the first temperature. The first zone has a first flow rate for a protective gas, and the second zone has a second flow rate for the protective gas that is greater than the first flow rate. The method further includes stamping and quenching the heated blank at a constant rate to a temperature between a martensite finish temperature of the steel alloy defining the steel alloy blank and room temperature to form the press-hardened steel component.

Abstract: An apparatus configured to purify air and sanitizing including a main base including one or more buttons configured to operate the apparatus, a lid attachable to the main base and that includes one or more ventilation perforations to intake air and an orifice to output purified air, a filter adjacent to the one or more ventilation perforations and enclosed in the lid, wherein the filter is configured to remove at least bacteria from atmospheric air and extract purified air, a fan configured to intake atmospheric air into the filter and blow purified air extracted from the filter outside of an orifice of the lid, a tank configured to store liquid, wherein the liquid includes at least liquid sanitizer, a pump configured to output liquid stored in a tank, and a cavity section that includes an outlet configured to output the liquid sanitizer in response to actuation of the pump.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a prediction of an audio signal. One of the methods includes receiving a request to generate an audio signal conditioned on an input; processing the input using an embedding neural network to map the input to one or more embedding tokens; generating a semantic representation of the audio signal; generating, using one or more generative neural networks and conditioned on at least the semantic representation and the embedding tokens, an acoustic representation of the audio signal; and processing at least the acoustic representation using a decoder neural network to generate the prediction of the audio signal.

Abstract: Ethylene-based polymers comprise reaction products of polymerizing ethylene monomer, at least one diene or polyene comonomer, and optionally at least one C3 to C14 comonomer under defined polymerization reaction conditions, the ethylene-based polymer having: an Mw/Mw0 greater than 1.20. The Mw0 is the initial weight-average molecular weight of a comparative ethylene-based polymer by gel permeation chromatography. The comparative ethylene-based polymer being a reaction product of polymerizing ethylene monomer and all C3 to C14 comonomers present in the ethylene-based polymer, if any, without the at least one polyene comonomer, under the defined polymerization reaction conditions; and a molecular weight tail quantified by an MWD area metric, ATAIL, and ATAIL is less than or equal to 0.04 as determined by gel permeation chromatography using a triple detector.

Abstract: A method and apparatus for performing a frequency-dependent joint component secondary transform (FD-JCST). The method includes obtaining a plurality of transform coefficients in a transform coefficient block; determining whether at least one of the plurality of transform coefficients is a low-frequency coefficient; based on determining that the at least one of the plurality of transform coefficients is the low-frequency coefficient, determining whether the low-frequency coefficient is a non-zero value; and based on determining that the low-frequency coefficient is the non-zero value, performing a joint component secondary transform (JCST) on the low-frequency coefficient and signaling a related syntax to indicate that the JCST is performed.

Abstract: A modular data center and a method of building a modular data center. The modular data center includes a site microgrid including at least one power converter connected to a direct current (DC) bus and a digital power system. The digital power system includes at least one digital power transmitter, a set of transmission lines, and at least one digital power receiver. The modular data center design uses an adiabatic cooling system to cool the modular data center.

Abstract: The technology relates to integrating web content into a map application. A query is sent from the map application. At least one snippet of web content identified as relevant to the query is received in response to the query, the at least one snippet of content including a portion of media or textual content from a source on the web. The portion of media or textual content is formatted for display in the map application and output for display in the map application.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing cell images using neural networks. One of the methods includes obtaining data comprising an input image of one or more biological cells illuminated with an optical microscopy technique; processing the data using a stained cell neural network; and processing the one or more stained cell images using a cell characteristic neural network, wherein the cell characteristic neural network has been configured through training to receive the one or more stained cell images and to process the one or more stained cell images to generate a cell characteristic output that characterizes features of the biological cells that are stained in the one or more stained cell images.

Abstract: An autonomous vehicle is described herein. The autonomous vehicle generates segmentation scenes based upon lidar data generated by a lidar sensor system of the autonomous vehicle. The lidar data includes points indicative of positions of objects in a driving environment of the autonomous vehicle. The segmentation scenes comprise regions that are indicative of the objects in the driving environment. The autonomous vehicle generates scores for each segmentation scene based upon characteristics of each segmentation scenes and selects a segmentation scene based upon the scores. The autonomous vehicle then operates based upon the segmentation scene.

Abstract: Methods, apparatus, systems, and articles of manufacture to monitor media are disclosed. An example apparatus includes first means for performing a first mapping of a first media identifier and timestamp to a second media identifier in a look-up table (LUT), the first media identifier and timestamp based on media obtained from a server, the first media identifier to identify the media, means for determining a third media identifier and a second timestamp based on media monitoring information (MMI) obtained from the server, the MMI obtained from the server in response to an access of the media identified by the third media identifier by a media device, second means for performing a second mapping of the third media identifier and the second timestamp to the first media identifier and timestamp in the LUT, and means for crediting access of the media to the media device based on the second mapping.

Abstract: According to some embodiments, a system, method, and non-transitory computer readable medium are provided comprising a plurality of real-time monitoring nodes to receive streams of monitoring node signal values over time that represent a current operation of the cyber physical system; and a threat detection computer platform, coupled to the plurality of real-time monitoring nodes, to: receive the monitoring node signal values; compute an anomaly score; compare the anomaly score with an adaptive threshold; and detect that one of a particular monitoring node and a system is outside a decision boundary based on the comparison, and classify that particular monitoring node or system as anomalous. Numerous other aspects are provided.

Abstract: A Data Over Cable Interface Specification (DOCSIS) node includes a first DOCSIS port and a second DOCSIS port. The node also includes a plurality of radio frequency (RF) ports. A plurality of client devices can be coupled to the RF ports. A RF switching network is coupled between the first DOCSIS port and the second DOCSIS port, and the plurality of RF ports. One or more control circuits can switch the RF switching network between at least a first state and a second state. The switching of the RF switching network allows the one or more control circuits to identify which client devices are coupled to which RF ports of the node.

Abstract: A feeder including: a) a base portion having a serving area; b) a chamber portion supported by the base portion and configured to retain a granular material within a chamber interior; c) a dispenser configured to segregate a portion of the granular material from the chamber interior and transfer the portion of the granular material from the chamber portion to the serving area, wherein the dispenser includes: i) a rocker body; and ii) one or more fins projecting from the rocker body; and wherein the feeder includes one or more of: i) the fin(s) are flexible; ii) sensing device(s) part of a sensing tower configured to sense the presence, distance, and/or amount of the granular material within the chamber portion; and/or iii) sensing device(s) configured to sense the presence, distance, and/or amount of the granular material within the serving area.

Abstract: Implementations relate to crop yield prediction at the field- and pixel-level. In various implementations, a first temporal sequence of high-elevation digital images may be obtained that capture a first geographic area and are acquired over a first predetermined time interval while the first geographic area includes a particular crop. A first plurality of other data points may also be obtained that influence a ground truth crop yield of the first geographic area after the first predetermined time interval. The first plurality of other data points may be grouped into temporal chunks corresponding temporally with respective images of the first temporal sequence. The first temporal sequence and the temporal chunks of the first plurality of other data points may be applied, e.g., iteratively, as input across a machine learning model to estimate a crop yield of the first geographic area at the end of the first predetermined time interval.

Abstract: A temperature sensor arrangement includes a housing having on opposite sides thereof a spring element and cover, and a temperature sensor lead and thermal pad such that the spring element is disposed between one of the sides and the cover, the temperature sensor lead is disposed between the other of the sides and the thermal pad, and the cover and thermal pad define opposite exterior sides of the temperature sensor arrangement. The housing carries and permits relative movement of the cover. The spring pushes the cover away from the one of the sides.

Abstract: One example method includes receiving input concerning a mobile IoT device, and the input includes information about a location of the mobile IoT device, information about whether the mobile IoT device is moving, and, when the mobile IoT device is moving, information about the range, speed, and bearing of the mobile IoT device. Next, the method includes generating a predicted location of the mobile IoT device based on the inputs received, using the predicted location of the mobile IoT device and a map of nodes in an environment where the mobile IoT device is located to make a migration decision concerning an application used by the mobile IoT device, and migrating the application from a present location to a node expected to be accessible by the mobile IoT device when the mobile IoT device reaches the predicted location, and the node and present location are physically separated by a distance.