Abstract: The invention improves Global Navigation Satellite System (GNSS) accuracy using a novel hybrid approach combining Real-Time Kinematic (RTK) and Precise Point Positioning (PPP) techniques with advanced multipath mitigation. The system receives positioning data from multiple GNSS devices and uses a server-based location correction engine to process this information. It generates estimated position values and ambiguity measurements, which are then used in both RTK and PPP algorithms. The system also applies a mean-field carrier multipath mitigation technique, leveraging an ensemble solver to compute multipath-free position estimates. This approach addresses both device-specific and environmental errors, particularly benefiting consumer-grade GNSS devices. By iteratively refining position estimates and correcting for multipath effects, the system achieves high-precision positioning without relying on fixed base stations, offering centimeter-level accuracy for a wide range of applications.

Abstract: Defoliation of maize plants, based on percent seed moisture, has advantageous outcomes including greater number of seeds per pound; increased volume or proportion of saleable seed per field and per female acre; decreased discard of seed due to commercially undesirable size or shape; lower moisture content of seed at harvest; earlier harvest date; less fuel and time expended in drying seed for storage; improved performance in laboratory tests for germination at cold temperatures; improved seed treatment efficacy; improved emergence under stress in field conditions; improved plantability in mechanical systems; more uniform stand; fewer runt plants and improved grain yield.

Abstract: In some implementations, a PDT delivery device may include a housing having a front panel, a plurality of therapy light sources positioned within the housing and a multi-port connector panel positioned on a front portion of the housing. The multi-port connector panel having a lid pivotably mounted to a portion of a top wall to selectively close the interior, a plurality of optical fiber connectors positioned in a plurality of fiber connector apertures formed in a back wall coupled to a respective one of the plurality of therapy light sources and coupled to a plurality of optical fibers, a cable support tray to receive a cable containing the plurality of optical fibers, and at least one cable clamp to cooperate with the cable support tray to releasably capture the cable therebetween.

Abstract: An ultrasonic multivariable process transmitter includes an ultrasonic transmitter configured to transmit a pulse of input ultrasonic vibrations into a proximal surface of a wall. The pulse propagates through the wall and reflects from a distal surface to form a reflected pulse of output ultrasonic vibrations. An ultrasonic receiver receives pulses of ultrasonic vibrations at the proximal surface. Processing circuitry correlates the received reflected pulse of output ultrasonic vibrations with changes in the surface of the wall. The received pulses are further a function of a process variable of a process related to a process fluid in contact with a surface of the wall. An output indicative of the process variable of the process is provided.

Abstract: An additive manufacturing system may include an energy delivery device configured to deliver energy to a build surface of a component to form a melt pool in the build surface of the component; a powder delivery device configured to direct a powder stream toward the melt pool; a plurality of mass sensors, each mass sensor associated with a portion of the additive manufacturing system; a plurality of heat sensors; and one or more computing devices. The computing device(s) are configured to receive data from the plurality of mass sensors; determine an overall mass flux based on the data from the mass sensors; control the powder delivery device based on the overall mass flux; receive data from the plurality of heat sensors; determine an overall heat flux based on the data from the heat sensors; and control the energy delivery device based on the overall heat flux.

Abstract: A medical device may include an elongated body having a distal elongated body portion and a central longitudinal axis. The medical device may include a balloon positioned along the distal elongated body portion. The balloon may be configured to receive a fluid to inflate the balloon such that an exterior balloon surface contacts a calcified lesion within a patient's vasculature. The medical device may include one or more pressure wave emitters positioned along the central longitudinal axis of the elongated body. The one or more pressure wave emitters may be configured to propagate at least one pressure wave through the fluid to fragment the calcified lesion. At least one pressure wave emitter may include an optical fiber configured to transmit laser energy into the balloon. The laser energy may be configured to create a cavitation bubble in the fluid.

Abstract: In general, techniques are described for a patterned filament for fused filament fabrication. An additive manufacturing system may include a substrate defining a major surface, a filament delivery device, and a computing device. The computing device may be configured to control the filament delivery device to deposit a filament on the substrate, the filament including a primary material and a first binder, where the primary material distributed in a pattern having a first cross sectional geometry that differs from a second cross sectional geometry of the filament, and the binder is configured to be substantially removed from the filament.

Abstract: A medical device may include an elongated body, a balloon positioned at a distal portion of the elongated body, and one or more pressure-wave emitters positioned along a central longitudinal axis of the elongated body within the balloon. The one or more pressure-wave emitters may be configured to propagate pressure waves radially outward through the fluid to fragment a calcified lesion at the target treatment site. The at least one of the one or more pressure-wave emitters may comprise an electronic emitter including a first electrode and a second electrode. The first electrode and the second electrode may be arranged to define a spark gap between the first electrode and the second electrode, and the second electrode may comprise a portion of a hypotube.

Abstract: A system may include one or more computing devices configured to receive image data representing illuminated powder of a powder stream between a powder delivery device of an additive manufacturing system and a build surface of a component; determine at least one metric associated with the powder stream based on the received image data; determine whether the at least one metric indicates an abnormal state of the at least one metric; and cause the additive manufacturing system to perform at least one action in response to determining that the at least one metric indicates the abnormal state.

Abstract: The disclosure includes a vein ablation system, comprising a catheter having an elongated body. In some embodiments, the vein ablation system comprises an ablation device at a distal portion of the elongated body. According to some embodiments, the vein ablation system comprises a control device at a proximal portion of the elongated body. The control device may comprise an input mechanism configured to simultaneously control at least two of a longitudinal translation of the ablation device through a target vessel, a rotation of the ablation device about a central longitudinal axis, and an infusion of a chemical agent into the target vessel.

Abstract: An additive manufacturing system includes an energy delivery device configured to deliver energy to a build surface of a component to form a melt pool in the build surface of the component, a powder delivery device configured to direct a powder stream toward the melt pool, a machining device configured to machine the build surface, at least one topology sensor configured to generate topological data representative of a topology of the build surface, and a computing device configured to receive the topological data from the at least one topology sensor for a plurality of layers, identify differences between the topological data and specification data representative of a set of tolerances of the build surface, control the energy delivery device and the powder delivery device based on a set of deposition parameters, and control the machining device to machine the build surface based on the identified differences.

Abstract: An additive manufacturing system includes a first energy delivery device configured to deliver energy to a build surface of an additively-manufactured component to form a melt pool in the build surface of the component and a second energy delivery energy delivery device. The system also includes a powder delivery device and a heat sensor configured to measure a temperature of a portion of an additively-manufactured component. The system includes a computing device configured to receive data from the heat sensor captured at a first point in time and captured at a second point in time, determine a thermal history of the component based at least partially on the received data captured at the first point in time and the received data received data captured at the second point in time, and control the first energy delivery device or the second energy delivery device based on the determined thermal history.

Abstract: An additive manufacturing system includes an energy delivery device configured to deliver energy to a build surface of a component to form a melt pool in the build surface of the component, a powder delivery device configured to direct a powder stream toward the melt pool, a gas delivery device configured to direct a gas stream toward or adjacent to the melt pool, at least one Schlieren imaging sensor configured to generate image data representative of a gas flow of one or more gas streams from the gas delivery device, and a computing device configured to receive the image data from the at least one Schlieren imaging sensor. The computing device is configured to determine a gas flow profile of the gas flow based on the image data and control the energy delivery device, gas delivery device and/or the powder delivery device based on the gas flow profile.

Abstract: A method for additive manufacturing includes controlling, by a computing device, a powder delivery device to deliver a metal powder to a build surface of an abrasive coating and controlling, by the computing device, an energy delivery device to deliver energy to a melt pool of the build surface to form a metal matrix composite via an in situ reaction. The metal matrix composite includes a ceramic phase in a metal matrix.

Abstract: An additive manufacturing system includes an energy delivery device configured to deliver, a powder delivery device, and one or more thermal sensors configured to measure a temperature of a first portion of the additively-manufactured component and a second portion of the additively manufactured component. The additive manufacturing system includes a computing device configured to receive data indicative of the temperature of the first portion and of the second portion, determine a residual stress of the additively-manufactured component based at least partially on the received thermal sensor data from the first portion of the additively-manufactured component and the received data from the second portion of the additively-manufactured component; and predict final dimensions of the additively-manufactured component based at least partially on the determined residual stress of the additively-manufactured component.

Abstract: An additive manufacturing system includes an energy delivery device configured to deliver energy to a build surface of a component to form a melt pool, a powder delivery device configured to direct a powder stream toward the melt pool, a topology sensor configured to generate topographical data representative of a topology of the build surface, and a computing device configured to receive the topological data from the topology sensor for a first layer deposited according to an initial set of deposition conditions and determine a build height of the first layer based on the topological data, identify a difference between the build height and a target build height, determine an adjusted set of deposition parameters of a second layer based on the identified difference, and control the energy and powder delivery devices to deposit the second layer based on the adjusted set of deposition parameters.

Abstract: An additive manufacturing system includes an energy delivery device to deliver energy to a build surface of a deposit overlying a substrate to form a melt pool in the build surface, a powder delivery device to direct a powder stream toward the melt pool, and a computing device to determine a first set of deposition parameters for an innermost layer of the deposit overlying the substrate, determine a second set of deposition parameters for an inner plurality of layers of the deposit overlying the innermost layer, determine a third set of deposition parameters for an outer plurality of layers of the deposit overlying the inner plurality of layers, and control the energy delivery device and the powder delivery device to deposit the innermost layer, the inner plurality of layers, and the outer plurality of layers based on the respective first, second, and third sets of deposition parameters.

Abstract: An additive manufacturing system includes an energy delivery device configured to deliver energy to a build surface of a component to form a melt pool in the build surface of the component, a powder delivery device configured to direct a powder stream toward the melt pool, a spatter monitoring system, and a computing device configured to receive image data from the spatter monitoring system. The spatter monitoring system is configured to capture image data indicative of spatter, wherein spatter is material ejected from the melt pool. The computing device is configured to identify a spatter event based on the received image data and control at least one of the energy delivery device or the powder delivery device based on the determined spatter event.

Abstract: An additive manufacturing system includes an energy delivery device configured to deliver energy to a build surface of an additively-manufactured component being manufactured to form a melt pool in the build surface of the component. The system further includes a powder delivery device, a melt pool monitor configured to observe the melt pool, and a computing device. The computing device is configured to receive, from the melt pool monitor, data indicative of one or more parameters of the melt pool and determine, based on the received data, a current position of the melt pool. The computing device is configured to determine a desired size of the melt pool based on the current position of the melt pool and control, based on the desired size of the melt pool, the energy delivery device to form the melt pool of the desired size in the build surface of the component.

Abstract: An additive manufacturing system may include an energy delivery device configured to deliver energy to a build surface of a component to form a melt pool in the build surface of the component; a powder delivery device configured to direct a powder stream toward the melt pool; a plurality of mass sensors, each mass sensor associated with a portion of the additive manufacturing system; a plurality of heat sensors; and one or more computing devices. The computing device(s) are configured to receive data from the plurality of mass sensors; determine an overall mass flux based on the data from the mass sensors; control the powder delivery device based on the overall mass flux; receive data from the plurality of heat sensors; determine an overall heat flux based on the data from the heat sensors; and control the energy delivery device based on the overall heat flux.