Abstract: A machine learning model for stratification of early diabetic foot complication using thermogram images is provided that is operable to predictively diagnose a risk for diabetic foot ulceration formation via receiving a thermogram of a foot; identifying, via a machine learning model, a risk factor of diabetic foot ulceration on the foot; and outputting, from the machine learning model, the risk factor as a diagnosis.

Abstract: Systems and methods are disclosed herein for Digital Predistortion (DPD) in a Multiple Input Multiple Output (MIMO) transmitter. In some embodiments, a MIMO transmitter comprises a plurality of antenna branches comprising a respective plurality of power amplifiers coupled to a respective plurality of antenna elements. The MIMO transmitter also includes one or more DPD systems operable to predistort one or more respective groups of input signals to provide one or more respective groups of predistorted input signals for one or more respective groups of antenna branches. Each group of antenna branches comprises at least two of the plurality of antenna branches. In some embodiments, the MIMO transmitter is a massive MIMO transmitter. Embodiments of a per-branch DPD scheme for a MIMO transmitter that uses Iterative Learning Control (ILC) and kernel regression are also disclosed.

Abstract: The robotic system for harvesting, and performing pre- and post-harvesting tasks of date palm trees includes three main parts: a truck platform, a scissor lift, and a multi-task system. The truck platform provides mobility for the whole system, while the scissor lift raises the multi-task system to the top of the palm tree. The multi-task system is fixed on top of the scissor lift and includes a large basin that catches fruits during harvesting. A circular track is fixed within the basin and includes a 2-degree-of-freedom (DOF) slider base mounted thereon. On top of the 2-DOF slider base is a robotic arm fitted with the proper tool (harvesting tool, maintenance tool or bagging system) for the task to be performed. The circular track has pivoting sections, and the basin has a flexible portion in the rear of the truck platform to allow the system to surround the palm tree.

Abstract: The present disclosure provides a method of linearization for a non-linear system, comprising: a group of steps comprising: inputting an input signal to the non-linear system; obtaining an output signal from the non-linear system in response to the input signal being input to the non-linear system; obtaining a desired signal for the non-linear system; comparing the output signal with the desired signal, to determine whether the input signal is a target signal for the non-linear system to achieve a desired performance; and in response to determining that the input signal is not the target signal for the non-linear system to achieve the desired performance, generating an updated signal in frequency domain by applying a coefficient to eliminate a difference between the output signal and the desired signal, for updating the input signal to the non-linear system. The present disclosure also provides a corresponding device, computer programs, and computer-readable storage.

Abstract: The invention generally relates to systems and methods for mass spectrometry analysis of microorganisms in samples.

Abstract: An interleaved antenna array configuration in a radio node is disclosed. The antenna array includes a mixture of isolated and non-isolated antenna elements interleaved in each row and each column of the antenna array. Each isolated antenna element is only adjacent to one or two non-isolated antenna elements in each row and each column. Each non-isolated antenna element is only adjacent to one or two isolated antenna elements in each row and each column. By interleaving the isolated and non-isolated antenna elements in each row and column of the antenna array, it is possible to reduce a number of antenna isolators, thus helping to reduce cost and footprint of the radio node. Further, by using a combination of antenna isolators and simplified digital pre-distortion (DPD) actuators in association with the interleaved antenna array, the radio node is able to satisfy stringent radio frequency (RF) performance requirements.

Abstract: An interleaved antenna array configuration in a radio node is disclosed. The antenna array includes a mixture of isolated and non-isolated antenna elements interleaved in each row and each column of the antenna array. Each isolated antenna element is only adjacent to one or two non-isolated antenna elements in each row and each column. Each non-isolated antenna element is only adjacent to one or two isolated antenna elements in each row and each column. By interleaving the isolated and non-isolated antenna elements in each row and column of the antenna array, it is possible to reduce a number of antenna isolators, thus helping to reduce cost and footprint of the radio node. Further, by using a combination of antenna isolators and simplified digital pre-distortion (DPD) actuators in association with the interleaved antenna array, the radio node is able to satisfy stringent radio frequency (RF) performance requirements.

Abstract: An interleaved antenna array configuration in a radio node is disclosed. The antenna array includes a mixture of isolated and non-isolated antenna elements interleaved in each row and each column of the antenna array. Each isolated antenna element is only adjacent to one or two non-isolated antenna elements in each row and each column. Each non-isolated antenna element is only adjacent to one or two isolated antenna elements in each row and each column. By interleaving the isolated and non-isolated antenna elements in each row and column of the antenna array, it is possible to reduce a number of antenna isolators, thus helping to reduce cost and footprint of the radio node. Further, by using a combination of antenna isolators and simplified digital pre-distortion (DPD) actuators in association with the interleaved antenna array, the radio node is able to satisfy stringent radio frequency (RF) performance requirements.

Abstract: The invention generally relates to systems and methods for mass spectrometry analysis of microorganisms in samples.

Abstract: The present disclosure provides a method of linearization for a non-linear system, comprising: a group of steps comprising: inputting an input signal to the non-linear system; obtaining an output signal from the non-linear system in response to the input signal being input to the non-linear system; obtaining a desired signal for the non-linear system; comparing the output signal with the desired signal, to determine whether the input signal is a target signal for the non-linear system to achieve a desired performance; and in response to determining that the input signal is not the target signal for the non-linear system to achieve the desired performance, generating an updated signal in frequency domain by applying a coefficient to eliminate a difference between the output signal and the desired signal, for updating the input signal to the non-linear system. The present disclosure also provides a corresponding device, computer programs, and computer-readable storage.

Abstract: The invention generally relates to methods for analyzing a metabolite level in a sample. In certain embodiments, methods of the invention may involve obtaining a sample, analyzing the sample using a mass spectrometry technique to determine a level of at least one metabolite in the sample, and correlating the metabolite level with an originating source of the sample, thereby analyzing the sample.

Abstract: The invention generally relates to methods for analyzing an analyte in a sample that involve providing a capture module, the module configured to capture an analyte from a sample in an ambient environment and generate ions of the analyte, wherein the capture module comprises a cartridge and a porous substrate within the cartridge that is connected to a voltage source; and generating ions of the analyte from the capture module that are analyzed in a mass analyzer operably coupled to the capture module, thereby analyzing the analyte in the sample.

Abstract: Systems and methods are disclosed herein for Digital Predistortion (DPD) in a Multiple Input Multiple Output (MIMO) transmitter. In some embodiments, a MIMO transmitter comprises a plurality of antenna branches comprising a respective plurality of power amplifiers coupled to a respective plurality of antenna elements. The MIMO transmitter also includes one or more DPD systems operable to predistort one or more respective groups of input signals to provide one or more respective groups of predistorted input signals for one or more respective groups of antenna branches. Each group of antenna branches comprises at least two of the plurality of antenna branches. In some embodiments, the MIMO transmitter is a massive MIMO transmitter. Embodiments of a per-branch DPD scheme for a MIMO transmitter that uses Iterative Learning Control (ILC) and kernel regression are also disclosed.

Abstract: The invention generally relates to systems and methods for mass spectrometry analysis of microorganisms in samples.

Abstract: The invention generally relates to systems and methods for mass spectrometry analysis of microorganisms in samples.

Abstract: The invention generally relates to systems and methods for mass spectrometry analysis of microorganisms in samples.

Abstract: The invention generally relates to methods for analyzing an analyte in a sample. In certain embodiments, the methods involve providing a capture module, the module configured to capture an analyte in a sample in an ambient environment and generate ions of the analyte, wherein the capture module comprises a cartridge and a porous substrate within the cartridge that is connected to a voltage source, and wherein the porous substrate further comprises an internal standard; capturing the analyte in the sample to the porous substrate of the capture module; generating ions of the analyte and the internal standard held by the porous substrate via the voltage source that is coupled to the porous substrate; and analyzing the generated ions of the analyte and the internal standard in a mass analyzer that is operably coupled to the capture module.

Abstract: The invention generally relates to systems and methods for mass spectrometry analysis of microorganisms in samples.

Abstract: The invention generally relates to systems and methods for mass spectrometry analysis of microorganisms in samples.

Abstract: The invention generally relates to systems and methods for mass spectrometry analysis of microorganisms in samples.