Abstract: The present invention relates to methods of processing lignocellulosic material to obtain hemicellulose sugars, cellulose sugars, lignin, cellulose and other high-value products. Also provided are hemicellulose sugars, cellulose sugars, lignin, cellulose, and other high-value products.

Abstract: The invention provides a method of treating a subject afflicted with a dystonia, comprising periodically administering to the subject a pharmaceutical composition comprising an amount of pridopidine effective to treat the subject.

Abstract: Systems and methods are provided for applying a drop of a therapeutic to an eye of a user. Reflected light from the eye of the user is measured at a sensor to provide a time series of intensity values. It is determined from the time series of intensity values if the eye has blinked. The drop of the therapeutic is released in response to a determination that the eye has blinked.

Abstract: Systems and methods are provided for determining a likelihood that a drop released from a bottle will land in an eye of a user. Each of an eye of a user and a tip of a bottle and illuminated and imaged to provide at least one image. An orientation of the bottle is determined via an inertial measurement unit, and a likelihood that a drop released from the bottle will land in the eye of the user is determined from the determined orientation and the at least one image.

Abstract: Systems and methods for a sensor hub system that accurately and efficiently performs sensory analysis across a broad range of users and sensors and is capable of recognizing a broad set of sensor-based events of interest using flexible and modifiable neural networks are disclosed. The disclosed solution consumes orders of magnitude less power than typical application processors. In one embodiment, a scalable sensor hub system for detecting sensory events of interest comprises a neural network and one or more sensors. The neural network comprises one or more dedicated low-power processors and memory storing one or more neural network programs for execution by the one or more processors. The output of the one or more sensors is converted into a spike signal, and the neural network takes the spike signal as input and determines whether a sensory event of interest has occurred.