Abstract: The disclosure provides adenosine deaminases that are capable of deaminating adenosine in DNA to treat Hutchin-son-Gilford progeria syndrome (HOPS). The disclosure also provides fusion proteins, guide RNAs and compositions comprising a Cas9 (e.g., a Cas9 nickase) domain and adenosine deaminases that deaminate adenosine in DNA, for example in a LNA gene. In some embodiments, adenosine deaminases provided herein are used to correct a C1824T mutation in LMNA. In some embodiments, the methods and compositions provided herein are used to treat Hutchinson-Gilford progeria syndrome (HGPS).

Abstract: In some embodiments, a head-mounted, near-eye display system comprises a stack of waveguides having integral spacers separating the waveguides. The waveguides may each include diffractive optical elements that are formed simultaneously with the spacers by imprinting. The spacers are disposed on one major surface of each of the waveguides and indentations are provided on an opposite major surface of each of the waveguides. The indentations are sized and positioned to align with the spacers, thereby forming a self-aligned stack of waveguides. Tops of the spacers may be provided with light scattering features, anti-reflective coatings, and/or light absorbing adhesive to prevent light leakage between the waveguides. As seen in a top-down view, the spacers may be elongated along the same axis as the diffractive optical elements. The waveguides may include structures (e.g.

Abstract: Utility vehicles include ground engaging members, a frame supported by the ground engaging members, a motor supported by the frame operably coupled to the ground engaging members, and a battery configured to provide electrical power to the motor. The battery may be removable and configured to be easily charged by outside power sources such as generators and external batteries. A charger may be configured to receive instructions to charge the battery using a specific charger operating characteristic. The vehicle may also include a variety of accessory ports configured to electrically couple to accessories that use AC or DC power.

Abstract: Embodiments are disclosed for crash detection on one or more mobile devices (e.g., smartwatch and/or smartphone). In some embodiments, a method comprises: detecting, with at least one processor, a crash event on a crash device; extracting, with the at least one processor, multimodal features from sensor data generated by multiple sensing modalities of the crash device; computing, with the at least one processor, a plurality of crash decisions based on a plurality of machine learning models applied to the multimodal features; and determining, with the at least one processor, that a severe vehicle crash has occurred involving the crash device based on the plurality of crash decisions and a severity model.

Abstract: A method includes engaging Parkinson's Disease (PD) subjects in a continuous motor performance task that elicits natural motor variability, quantifying natural motor variability of each PD subject with an array of motor metrics at short timescales, applying a machine-learning classification or regression algorithm to determine weights for each of these metrics to maximally differentiate each patient's motor performance from that of controls performing the same task, and combining the weights to determine a scalar metric of motor performance for each short epoch of motor behavior.

Abstract: A method includes obtaining a first image of a scene using a first image sensor of an electronic device and a second image of the scene using a second image sensor of the electronic device. The method also includes generating a first feature map from the first image and a second feature map from the second image. The method further includes generating a third feature map based on the first feature map, the second feature map, and an asymmetric search window. The method additionally includes generating a depth map by restoring spatial resolution to the third feature map.

Abstract: A method includes obtaining a first image of a scene using a first image sensor of an electronic device and a second image of the scene using a second image sensor of the electronic device. The method also includes generating a first feature map from the first image and a second feature map from the second image. The method further includes generating a third feature map based on the first feature map, the second feature map, and an asymmetric search window. The method additionally includes generating a depth map by restoring spatial resolution to the third feature map.

Abstract: A corneal topography system incorporating a handheld unit, a base unit and a computer. The handheld unit includes a placido projector, a light source and a camera that receives the image of the placido image being reflected off of the patient's cornea. The light source is preferably comprised of a lightweight luminescent panel such as an EL panel. The handheld unit further includes a laser and a display that are used to properly align the handheld unit with respect to the patient's cornea into a desired orientation. The resulting reflected image is captured when the handheld unit is in the desired orientation and this image can then be used to obtain corneal topography data for the patient's eye.

Abstract: A photonically controlled antenna array is made of a plurality of stacked light waveguides made of a material such as silicon whereon each of which one or more photonically controlled antenna elements are mounted. Light is injected into ones of the light waveguides and reflects therein until it is absorbed by the antenna elements mounted thereon due to the higher refractive index of silicon. When the photonically controlled antenna elements are illuminated they are switched to a conductive state and can transmit and receive electromagnetic signals. When no light is injected into the light waveguide the photonically controlled antenna elements are not illuminated and are in a non-conductive state wherein they cannot receive or transmit electromagnetic signals.