Abstract: Machine learning models for generating predictions of sequestered soil carbon content are provided. The models can be trained on synthetic training data with associated synthetic spectral measurements and ground truth training data with associated ground truth spectral measurements. Systems and methods for training such machine learning models are also provided. Prediction of sequestered soil carbon may be facilitated by using Raman spectral measurements, generating synthetic spectral measurements by physical simulation for training data, using spectral measurements at varying degrees of resolution (e.g. using satellite measurements bolstered by measurements from aerial and/or proximal sensors), and/or modeling uncertainty in the predictions. Synthetic and ground-truth modes of training may differ in the number and type of input provided.

Abstract: Machine learning models for generating predictions of soil properties based on Raman spectral measurements are provided. The models can be trained on synthetic training data with associated synthetic Raman spectral measurements and ground truth training data with associated ground truth Raman spectral measurements. Systems and methods for training such machine learning models are also provided. Predictions may be facilitated by generating synthetic spectral measurements by physical simulation for training data, using spectral measurements at varying degrees of resolution (e.g. using satellite measurements bolstered by measurements from aerial and/or proximal sensors), and/or modeling uncertainty in the predictions. Soil properties May comprise sequestered soil carbon, nitrogen, phosphorous, potassium, and other constituents. Synthetic and ground-truth modes of training may differ in the number and type of input provided.

Abstract: The present disclosure provides a bioprinting system (100) for printing a liquid directly onto a subject. The bioprinting system (100) comprises a bioprinting assembly (102). Optionally, a robotic arm (104) and a control system (150) are provided. The bioprinting assembly (102) may be coupled to the robotic arm (104) to be positionable relative to the subject. The bioprinting assembly (102) is configured to dispense the liquid onto the subject and comprises a reservoir (120) for holding the liquid and a loading mechanism (134) to prime the reservoir (120) with the liquid directly prior to printing. The loading mechanism (134) has a one way inlet to permit liquid to be loaded into the reservoir (120) and prevent fluid from exiting the reservoir via the one way inlet. There is also provided associated methods.

Abstract: A printhead assembly (100) suitable for a 3D bioprinter is disclosed, the printhead assembly (100) comprising at least one reservoir (106); a sample loading system (102) in fluid communication with the at least one reservoir (106), the sample loading system (102) configured to direct fluid into the at least one reservoir (106); and a dispensing system (103) having at least one dispensing outlet (126), the at least one dispensing outlet (126) in fluid communication with the at least one reservoir (106) and configured to dispense fluid from the at least one reservoir (106).

Abstract: In one implementation, a termination circuit may include a variable resistance circuit that comprises a resistance network in which the resistance of a parallel combination of two complementary transistors of opposite types is substantially independent of the drain-to-source voltages of the transistors when the gate-to-source voltages of the transistors are substantially equal in magnitude and opposite in sign. In various examples, the network may include a resistor in parallel and/or series with the transistors. Some implementations may adjust a resistance of the network in response to a digital-to-analog converter output signal. In another implementation, an integrated circuit may include a termination stage with an integrated resistor in parallel or series with a circuit having a tunable impedance. In an illustrative embodiment, relative channel width of the first and second transistors may be selected to realize substantially complementary characteristics for drain-to-source voltage vs.

Abstract: A method for calibrating the position and orientation of a 6-DOF sensor system mounted on a multi-segmented structure, such as the human body, is provided. The method includes a stage for mounting the sensors on the body, a stage for acquiring the 6-DOF kinematics from those sensors, a calibration stage whereby the prior stages are used to determining the sensor-to-segment transformations that are most physiologically optimal during relative skeletal motions, and a stage that to periodically monitor and correct for sensor slippage.

Abstract: In one implementation, a termination circuit may include a variable resistance circuit that comprises a resistance network in which the resistance of a parallel combination of two complementary transistors of opposite types is substantially independent of the drain-to-source voltages of the transistors when the gate-to-source voltages of the transistors are substantially equal in magnitude and opposite in sign. In various examples, the network may include a resistor in parallel and/or series with the transistors. Some implementations may adjust a resistance of the network in response to a digital-to-analog converter output signal. In another implementation, an integrated circuit may include a termination stage with an integrated resistor in parallel or series with a circuit having a tunable impedance. In an illustrative embodiment, relative channel width of the first and second transistors may be selected to realize substantially complementary characteristics for drain-to-source voltage vs.