Abstract: Methods, systems, and apparatus for generating a recipe for a concrete mixture, comprising: obtaining an optical characterization of a set of particles; determining, based on the optical characterization, physical characteristics of the set of particles; generating a multispherical approximation of the set of particles; selecting, based on the physical characteristics of the set of particles and from a database of performance rules, performance rules applicable to the set of particles; predicting performance of a proposed recipe for a concrete mixture formed from the set of particles by: determining a wet flowability rating of the proposed recipe based on the selected performance rules; and determining a dry packing rating of the proposed recipe based on the multispherical approximation; iteratively altering the proposed recipe and predicting performance of the altered proposed recipe until the predicted performance satisfies performance criteria to obtain a final recipe; and outputting the final recipe.

Abstract: Effective delivery of an insecticide to a growing plant can sometimes be problematic. Topical delivery of an insecticide at the post-emergence stage of growth can sometimes be ineffective. It can also be difficult to deliver an insecticide to the roots of a growing plant, such as to combat a subsurface insect infestation. Accordingly, soil blends having insecticidal activity can comprise a soil medium, a porous soil additive, and an insecticide dispersed within the soil medium. Such soil blends may be used in conjunction with cultivating a variety of plants. Methods for producing the soil blends can comprise providing a soil medium and a porous soil additive, and dispersing the porous soil additive and an insecticide within the soil medium.

Abstract: There is provided a method of training a machine learning model, comprising: for each set of sample medical images depicting calcification within a target anatomical structure wherein each set includes non-contrast medical image(s) and contrast enhanced medical image(s), correlating between calcifications depicted in the target anatomical structure of the contrast enhanced image(s) with corresponding calcifications depicted in the target anatomical structure of the non-contrast medical image(s), computing calcification parameter(s) for calcification depicted in the respective target anatomical structure, labelling each contrast enhanced medical image with the calcification parameter(s), and training the machine learning model on a training dataset that includes the contrast enhanced medical images of the sets, each labelled with ground truth label of a respective calcification parameter(s), for generating an outcome indicative of a target calcification parameter(s) for calcification depicted in the target ana

Abstract: Embodiments of an electric heater apparatus are disclosed. In one embodiment, an electric heater apparatus includes: (a) a first thermally conductive layer comprising an electrically insulating material; (b) one or more electrically conductive heating elements disposed in one or more grooves arranged on the top side of the first thermally conductive layer; and (c) a second thermally conductive layer disposed on the top side of the first thermally conductive layer over the one or more heating elements. The one or more heating elements include one or more refractory hard metals doped with at least one of carbon, nitrogen, aluminum, yttrium, or oxygen. The doped one or more refractory hard metals include a temperature insensitive electrical resistance over operational temperatures ranging from ambient temperature to about 850° C. as compared to undoped refractory hard metals. The one or more heating elements are independently controllable to provide one or more heating zones.

Abstract: A thermal image-based hybrid object detection method using a YOLO model and an object tracking technique includes: a) a step of obtaining a plurality of thermal image data by means of a thermal image camera; b) a step of extracting an object region from a thermal image data of the thermal image camera using an installed YOLO model and then creating an object region coordinate data by returning coordinates of the object region by means of an image processor; and c) a step of outputting a first image reflecting an object region coordinate data to each of thermal image data received from the image processor by means of an output device when the output device requests transmission of the first image.

Abstract: A system includes a vertical axis wind turbine (VAWT), a first charger connected to another device external from the system having at least one battery, a second charger connected to an on board battery pack, and at least one programmable logic controller (PLC) configured to: manage communication between the VAWT, the at least one battery, and the first charger to ensure that the at least one battery reaches a preset state of charge (SOC) comprising 90% state of charge, and manage communication between the on board battery pack and the second charger to ensure that the on board battery pack reaches the preset SOC and trigger the second charger to discontinue the charging session, manage transfer of energy from the on board battery pack to the at least one battery.

Abstract: Implementations are described herein for aggregating information responsive to a query from multiple different data feed services using machine learning. In various implementations, NLP may be performed on a natural language input comprising a query for information to generate a data feed-agnostic aggregator embedding (FAAE). A plurality of data feed services may be selected, each having its own data feed service action space that includes actions that are performable to access data via the data feed service. The FAAE may be processed based on domain-specific machine learning models corresponding to the selected data feed services. Each domain-specific machine learning model may translate between a respective data feed service action space and a data feed-agnostic semantic embedding space. Using these models, action(s) may be selected from the data feed service action spaces and performed to aggregate, from the plurality of data feed services, data that is responsive to the query.

Abstract: The present disclosure is directed to systems, apparatuses, and methods for controlling an electrical system using setpoints. Some embodiments include systems that receive a meter read schedule comprising anticipated meter read occurrences. The systems may set a demand setpoint representing a desired upper limit of demand of the electrical power system and adjust the demand setpoint during a billing period. The system may also reset the demand setpoint multiple times at different reset points around each of the anticipated meter read occurrences.

Abstract: A device source wafer includes a wafer substrate, devices formed on or in the wafer substrate at a location on the wafer substrate, and test structures disposed on the wafer substrate connected to some but not all of the devices. The devices include a first device disposed at a first location and a second device disposed at a second different location on the wafer substrate. The test structures include at least a first test structure connected to the first device and a second test structure connected to the second device. The first test structure is adapted to measuring a characteristic of the first device and the second test structure is adapted to measuring the characteristic of the second device. An estimated characteristic of unmeasured devices is derived from the first and second device locations and measured characteristics and the device is selected based on the estimated characteristic.

Abstract: A system includes a first charger connected to one of an aircraft, a watercraft, and a vehicle having at least one vehicle battery, a second charger connected to an on board battery pack, and at least one programmable logic controller (PLC) to manage communication between the at least one vehicle battery and the first charger to ensure that the at least one vehicle battery reaches a preset state of charge (SOC), manage communication between the on board battery pack and the second charger to ensure that the on board battery pack reaches the preset SOC, and manage transfer of energy from the on board battery pack to the at least one vehicle battery.

Abstract: Aspects of the disclosure provide a method of adjusting a plurality of phase shifters of an OPA. The method may include identifying, by one or more processors, one or more first subsets of phase shifters of the plurality of phase shifters based on an orthogonal set of functions; performing, by the one or more processors, one or more first dithers on the one or more first subsets of phase shifters of the plurality of phase shifters using one or more first frequencies of a predetermined set of frequencies; determining, by the one or more processors, one or more first corrections based on a first power output of the OPA resulting from the one or more first dithers; and adjusting, by the one or more processors, the one or more first subsets using the one or more first corrections, the adjustment resulting in a first set of corrected phase shifter values.

Abstract: An energy harvesting tape comprising a plurality of flexible layers. The plurality of flexible layers includes a solar cell layer configured to capture solar energy, a thermoelectric layer configured to capture thermal energy, one or more piezoelectric layers configured to capture mechanical energy; and an electrode layer configured to capture radiofrequency energy and to transmit a radiofrequency signal. The energy harvesting tape also includes one or more processing units on at least one of the plurality of flexible layers. The one or more processing units are configured to use the captured energy from the plurality of flexible layers to transmit the radiofrequency signal. The energy harvesting tape has a length, a width, and a thickness, where the length is greater than the width, and the width is greater than the thickness.

Abstract: A biological information monitoring system includes: a biological information monitoring apparatus that monitors biological information of an organism wearing the biological information monitoring apparatus on an ear; and a charger that charges the biological information monitoring apparatus in a non-contact manner. The charger charges the biological information monitoring apparatus when the biological information monitoring apparatus is not monitoring biological information.

Abstract: This disclosure describes a system and method for generating a subsurface model representing lithological characteristics and attributes of the subsurface of a celestial body or planet. By automatically ingesting data from many sources, a machine learning system can infer information about the characteristics of regions of the subsurface and build a model representing the subsurface rock properties. In some cases, this can provide information about a region using inferred data, where no direct measurements have been taken. Remote sensing data, such as aerial or satellite imagery, gravimetric data, magnetic field data, electromagnetic data, and other information can be readily collected or is already available at scale.

Abstract: A micro-device structure comprises a source substrate having a sacrificial layer comprising a sacrificial portion adjacent to an anchor portion, a micro-device disposed completely over the sacrificial portion, the micro-device having a top side opposite the sacrificial portion and a bottom side adjacent to the sacrificial portion and comprising an etch hole that extends through the micro-device from the top side to the bottom side, and a tether that physically connects the micro-device to the anchor portion. A micro-device structure comprises a micro-device disposed on a target substrate. Micro-devices can be any one or more of an antenna, a micro-heater, a power device, a MEMs device, and a micro-fluidic reservoir.

Abstract: Provided is a method for recommending a payment means, including acquiring payment information of at least one payment means associated with a user, analyzing a consumption pattern of the user by referring to the acquired payment information, specifying a group associated with the user by referring to the consumption pattern, predicting a future consumption pattern of the user by referring to attributes of the specified group, and determining a payment means to be recommended to the user by referring to a result of the predicting.

Abstract: Described herein are molecular inks, methods for printing the molecular inks on flexible substrates, and methods for forming printed electronic elements, such as resistive heaters, force sensors, motion sensors, and devices that include these elements, such as force responsive conductive heaters. The methods include printing a molecular ink on a flexible substrate that is heated to 30° C. to 90° C. before and/or during the printing process and curing the substrate to produce a conductive pattern thereon. The molecular inks generally include a particle-fee metal-complex composition formulated from at least one metal complex and a solvent, and optionally, a conductive filler material, and/or surfactant.