Abstract: Methods of treating or preventing microbial infection in a subject in need of treatment by administering a therapeutically effective amount of ergothioneine, or functional analog, or prodrug, or salt thereof. Ergothioneine may be advantageously administered in conjunction with lactoferrin.

Abstract: Methods of treating or preventing microbial infection in a subject in need of treatment by administering a therapeutically effective amount of ergothioneine, or functional analog, or prodrug, or salt thereof. Ergothioneine may be advantageously administered in conjunction with lactoferrin.

Abstract: A method for optimizing a shape of a replacement valve leaflet, wherein the shape of the replacement valve leaflet is determined by defining variable parameters of the replacement valve leaflet. The variable parameters may comprise: a valve height; a leaflet coaptation height, a first set of two control points for a first B-spline plane of symmetry; and a second set of two control points for a second B-spline plane tangent to a frame of the valve. The method may further comprise creating iterations of potential shapes of the replacement valve leaflet by changing one or more of the variable parameters using modeling software. The method may also comprise calculating the maximum stresses or strains on each of the potential shapes.

Abstract: Various arrangements for identifying and grading cancer in tissue samples are presented. A digital image of a stained tissue sample may be acquired. A Shearlet transform may be performed on the digital image of the stained tissue sample. Shearlet coefficients may be calculated based on the performed Shearlet transform of the normalized digital RGB image of the stained tissue sample. A trained neural network may be applied to create a plurality of feature maps using the digital image and Shearlet coefficients, wherein the trained neural network was trained using a plurality of images and Shearlet coefficients of a plurality of digital images. A classifier may be applied to an output of the trained neural network to identify whether cancer is present in the stained tissue sample. A notification may be output that is indicative of a grade of detected cancer in the sample.

Abstract: A circulation control system for an aerial vehicle. The system comprises an air supply unit attached to the aerial vehicle configured to generate a specified amount of mass air flow; an air delivery system, the air supply unit and the air delivery system being connected via at least one tube that turns at least one right angle; a circulation control wing through which air from the air supply unit is delivered through the air delivery system, the circulation control wing comprising at least one plenum configured to blow the air out of a slot in a trailing edge of the wing, and at least one dual radius flap positioned behind the slot.

Abstract: A mobile self-leveling landing platform vehicle is disclosed that includes a landing surface and one or more wheel assemblies. Each wheel assembly includes a wheel, a control arm coupled with the wheel and the body of the landing platform vehicle, and an actuator coupled with the control arm and the body of the platform vehicle. Methods for self-leveling the landing platform vehicle are also disclosed.

Abstract: Systems and methods are disclosed to detect and/or classify electrophysiological signals as motor events.

Abstract: Full-cycle rapid scan (RS) electron paramagnetic resonance (EPR) can be performed without the instability of prior art methods and with a higher scan rate than traditional half-scan methods. In particular, a full scan is performed, but the constant RF driving B-field can be mathematically represented as two step functions, each corresponding to one half of a full scan cycle. This mathematical representation can be carried through the deconvolution such that two deconvolutions, one for the up cycle and one for the down cycle, can be performed. The solutions to these two deconvolutions can then be summed to give a single spectrum having a higher signal-to-noise ratio than half-cycle RS scans.

Abstract: A mobile self-leveling landing platform vehicle is disclosed that includes a landing surface and one or more wheel assemblies. Each wheel assembly includes a wheel, a control arm coupled with the wheel and the body of the landing platform vehicle, and an actuator coupled with the control arm and the body of the platform vehicle. Methods for self-leveling the landing platform vehicle are also disclosed.

Abstract: A method for estimating a pose of a first object in relation to a second object, the second object comprising a visual marker comprising a plurality of ellipses comprises capturing a video image of the visual marker with an image capture device on the first object, then pre-processing frames of the video image on a graphics processing unit. The method comprises detecting the visual marker by finding contours in the frames to identify the plurality of ellipses and determining that a pattern of the plurality of ellipses match a known pattern of the visual marker. Then the method comprises obtaining coordinates of two or more of the plurality of ellipses of the visual marker, estimating the pose of the first object in relation to the second object by inputting the coordinates of the plurality of ellipses into a pose estimation algorithm, and filtering results of the pose estimation algorithm.

Abstract: Various systems and methods for detecting electron spins using electron paramagnetic resonance are described. An excitation signal generator configured to generate an excitation signal of varying amplitude and phase as compared to a reference signal may be present. A crossed-loop resonator configured to isolate a detection signal produced by the excitation signal exciting an object with a magnetic field may also be present. Further, a detection device configured to detect electron spins of the object using the detection signal isolated by the crossed-loop resonator may be present.

Abstract: Embodiments of the invention are directed toward a crossed-loop electron paramagnetic resonance resonator comprising a first resonator having a first resonator axis; and a second resonator having a second resonator axis. The first resonator axis and the second resonator axis can be substantially perpendicular. Either or both the first resonator and the second resonator can be a ribbon resonator having a plurality of metallic ribbons formed in a loop. Each metallic ribbon can include a central axis. The plurality of metallic ribbons can be arranged parallel relative one to another.

Abstract: A mobile self-leveling landing platform vehicle is disclosed that includes a landing surface and one or more wheel assemblies. Each wheel assembly includes a wheel, a control arm coupled with the wheel and the body of the landing platform vehicle, and an actuator coupled with the control arm and the body of the platform vehicle. Methods for self-leveling the landing platform vehicle are also disclosed.

Abstract: Provided are inexpensive devices and methods for obtaining emission or scattering spectra of multiple particles simultaneously and for characterizing the particles based on their emission or scattering spectra. The disclosed devices and methods are useful for analyzing multiple particles to determine one or more characteristics of the particles, such as size, type, elastic scattering, fluorescence and/or Raman characteristics, for distinguishing between biological and non-biological particles, and for biomedical assaying applications. Laboratory or research grade spectroscopic devices are described. Smartphone-based spectroscopic devices are also described, where various components of a smartphone are used for data collection and analysis purposes.

Abstract: Embodiments of the invention include aerosol impactors comprising one or more micromechanical resonators. Impactors according to embodiments of the invention can provide size classification and/or concentration of aerosol particulate. Aerosol impactors can use an air flow device, such as a pump, to create a constant flow of air. Nozzles of varying diameters are used to separate particulate of varying sizes and the particles that pass through strike a measuring device. MEMS resonators can be integrated into arrays to provide mass sensitivity in a small, lightweight and cost effective package, which will effectively allow for the measurement of the mass of every micro/nanoscale particle landing on the surface.

Abstract: A RADAR apparatus may be used in target detection and/or avoidance. The RADAR apparatus may include a microwave front end configured to transmit and receive RF signals, an analog signal conditioning module coupled with the microwave front end module that conditions RF signals received at the microwave front end module, and a digital signal processing module coupled with the analog signal conditioning module that detects presence and range of one or more targets based on the filtered RF signals.

Abstract: An unmanned aerial vehicle (UAV) radar apparatus may be used in aircraft detection and avoidance. The radar apparatus may include an RF front end configured to transmit and receive RF signals, a filtering module coupled with the RF front end module that filters RF signals received at the RF front end module, and a target data processing module coupled with the filtering module that detects and identifies one or more targets based on the filtered RF signals. Avoidance procedures may be initiated based on the identification and detection of one or more targets.

Abstract: Various arrangements for identifying and grading cancer in tissue samples are presented. A digital image of a stained tissue sample may be acquired. A Shearlet transform may be performed on the digital image of the stained tissue sample. Shearlet coefficients may be calculated based on the performed Shearlet transform of the normalized digital RGB image of the stained tissue sample. A trained neural network may be applied to create a plurality of feature maps using the digital image and Shearlet coefficients, wherein the trained neural network was trained using a plurality of images and Shearlet coefficients of a plurality of digital images. A classifier may be applied to an output of the trained neural network to identify whether cancer is present in the stained tissue sample. A notification may be output that is indicative of a grade of detected cancer in the sample.

Abstract: Embodiments of the invention include micromechanical resonators. These resonators can be fabricated from thin silicon layers. Both rotational and translational resonators are disclosed. Translational resonators can include two plates coupled by two resonate beams. A stable DC bias current can be applied across the two beams that causes the plates to resonate. In other embodiments, disk resonators can be used in a rotational mode. Other embodiments of the invention include using resonators as timing references, frequency sources, particle mass sensors, etc.