Abstract: Provided herein are compositions with enhanced protein content, proteins with high solubility, protein combinations and methods for the preparation thereof.

Abstract: Techniques for quantifying accuracy of a prediction model that has been trained on a data set parameterized by multiple features are provided. The model performs in accordance with a theoretical performance manifold over an intractable input space in connection with the features. A determination is made as to which of the features are strongly correlated with performance of the model. Based on the features determined to be strongly correlated with performance of the model, parameterized sub-models are created such that, in aggregate, they approximate the intractable input space. Prototype exemplars are generated for each of the created sub-models, with the prototype exemplars for each created sub-model being objects to which the model can be applied to result in a match with the respective sub-model. The accuracy of the model is quantified using the generated prototype exemplars. A recommendation engine is provided for when there are particular areas of interest.

Abstract: Techniques for recommending a prediction model from among a number of different prediction models are provided. Each of these prediction models has been trained based on a respective training data set, and each performs in accordance with a respective theoretical performance manifold. An indication of a region definable in relation to the theoretical performance manifolds of the different prediction models is received as input. For each of the different prediction models, the indication of the region is linked to features parameterizing the respective performance manifold; and one or more portions of the respective performance manifold is/are identified based on the features determined by the linking, the portion(s) having a volume and a shape that collectively denote an expected performance of the respective model for the input. The expected performance of the prediction models for the input is compared. Based on the comparison, one or more of the models is/are suggested.

Abstract: A hydroponic tower cleaning and debris removal system is provided that is configured to automatically clean and remove plant and material debris from within a hinged, hydroponic tower as well as the plant containers contained within such a hydroponic tower. The hydroponic tower cleaning system utilizes a drive system to force the tower through the apparatus; an alignment system to ensure that the tower remains in proper alignment throughout the cleaning process; a brush system that initiates separation of plant debris from the tower/plant containers and ensures that the plant roots are torn apart; a plunger system to eject plant debris from within the plant containers; an air delivery system to blow away the debris; and rollers to maintain tower face alignment during the cleaning process.

Abstract: A system for simplified generation of systems for analysis of satellite images to geolocate one or more objects of interest. A plurality of training images labeled for a study object or objects with irrelevant features loaded into a preexisting feature identification subsystem causes automated generation of models for the study object. This model is used to parameterize pre-engineered machine learning elements that are running a preprogrammed machine learning protocol. Training images with the study are used to train object recognition filters. This filter is used to identify the study object in unanalyzed images. The system reports results in a requestor's preferred format.

Abstract: There is provided a method for ray-mediated illumination control. The method includes identifying a first activation region corresponding to one of an origin and a destination of a ray, where the ray is described by a ray data associated with the ray. The method further includes identifying a second activation region corresponding to the other one of the origin and the destination of the ray, interpreting an illumination rule for the ray based on at least one of the first activation region and the second activation region, and modifying an illumination in one of the first activation region and the second activation region based on the illumination rule and the ray data.

Abstract: The Invention is a filler/coating system with multiple formulations and mixtures designed to profile roof substrates in optimizing water shed drainage characteristics. These mixtures have a weight that is 50% of the weight of water. This weight reduction reduces the load on the existing roofing elements and allows for the optimized profiling of the slope of a roof without increasing the weight on the existing roof elements/members, this objective is met by the displacement of the water that normally fills and sits in the sagging ponding areas of a weakened and deteriorated roofing structure. The existing roofing elements need not be removed, torn off or repaired, as this system is designed to be an overlay filler/coating system that provides an ideal profiling slope of the roofs substrate for the application of a new water tight roofing membrane system to then be applied.

Abstract: A system for automated geospatial image analysis comprising a deep learning model that receives orthorectified geospatial images, pre-labeled to demarcate objects of interest. The module presents marked geospatial images and a second set of unmarked, optimized, training geospatial images to a convolutional neural network. This process may be repeated so that an image analysis software module can detect multiple object types or categories. The image analysis software module receives orthorectified geospatial images from one or more geospatial image caches. Using a multi-scale sliding window submodule, image analysis software scans geospatial images, detects objects present and geospatially locates them.

Abstract: A system and a method generate a recommendation on a mobile device. The system and the method may use a time, a location, a venue and/or an event to generate the recommendation. Further, the system and the method may use an event database to determine current interests of the user. Still further, the system and the method for generating a recommendation on a mobile device may use a transactional history of the user and/or behavior of other users to generate the recommendation. The system and the method may recommend, for example, digital media, news and event information, editorial content and/or physical or digital merchandise. As a result, the system and the method may generate a recommendation that corresponds to the current interests of the user.

Abstract: GABAA receptor mediated hypersomnia can be treated by administering a GABAA receptor antagonist (e.g., flumazenil; clarithromycin; picrotoxin; bicuculline; cicutoxin; and oenanthotoxin). In some embodiments, the GABAA receptor antagonist is flumazenil or clarithromycin. The GABAA receptor mediated hypersomnia includes shift work sleep disorder, obstructive sleep apnea/hypopnea syndrome, narcolepsy, excessive sleepiness, hypersomnia (e.g., idiopathic hypersomnia; recurrent hypersomnia; endozepine related recurrent stupor; and amphetamine resistant hypersomnia), and excessive sleepiness associated with shift work sleep disorder, obstructive sleep apnea/hypopnea syndrome, and hypersomnia (e.g., idiopathic hypersomnia; recurrent hypersomnia; endozepine related recurrent stupor; and amphetamine resistant hypersomnia.

Abstract: A surgical instrument includes a body, a shaft assembly, an end effector, and an electrical contact assembly. The body includes a power source. The shaft assembly extends distally from the body, the end effector is distal of the shaft assembly. The end effector includes a channel assembly and a cartridge assembly. The cartridge assembly may selectively couple with the channel assembly. The cartridge assembly includes an electrically activated component. The electrical contact assembly is configured to electrically couple the power source with the electrically activated component. The electrical contact assembly includes a first electrical contact associated with the channel assembly, a second electrical contact associated with the channel assembly, and a hydrophobic layer extending between the first electrical contact and the second electrical contact.

Abstract: A surgical instrument includes a body, a shaft assembly, an end effector, and an electrical contact assembly. The includes a power source, while the shaft assembly extends distally from the body. The end effector includes a channel assembly and a cartridge assembly configured to selectively couple with the channel assembly. The cartridge assembly includes an electrically activated component. The electrical contact assembly is capable of electrically coupling the power source with the electrically activated component of the cartridge assembly. The electrical contact assembly includes a first electrical contact, a second electrical contact, and an insulating membrane. The first electrical contact is associated with the channel assembly while the second electrical contact is associated with the cartridge assembly. The insulating membrane is associated with either the first electrical contact or the second electrical contact.

Abstract: A system for broad area geospatial object recognition, identification, classification, location and quantification, comprising an image manipulation module to create synthetically-generated images to imitate and augment an existing quantity of orthorectified geospatial images; together with a deep learning module and a convolutional neural network serving as an image analysis module, to analyze a large corpus of orthorectified geospatial images, identify and demarcate a searched object of interest from within the corpus, locate and quantify the identified or classified objects from the corpus of geospatial imagery available to the system. The system reports results in a requestor's preferred format.

Abstract: A system for automated geospatial image analysis comprising a deep learning model that receives orthorectified geospatial images, pre-labeled to demarcate objects of interest. The module presents marked geospatial images and a second set of unmarked, optimized, training geospatial images to a convolutional neural network. This process may be repeated so that an image analysis software module can detect multiple object types or categories. The image analysis software module receives orthorectified geospatial images from one or more geospatial image caches. Using a multi-scale sliding window submodule, image analysis software scans geospatial images, detects objects present and geospatially locates them.

Abstract: A system for simplified generation of systems for analysis of satellite images to geolocate one or more objects of interest. A plurality of training images labeled for a study object or objects with irrelevant features loaded into a preexisting feature identification subsystem causes automated generation of models for the study object. This model is used to parameterize pre-engineered machine learning elements that are running a preprogrammed machine learning protocol. Training images with the study are used to train object recognition filters. This filter is used to identify the study object in unanalyzed images. The system reports results in a requestor's preferred format.

Abstract: A cleaning system and method uses a tank holding a fluid detergent and an equipment assembly formed from a plurality of discrete components joined together. One or more ultrasound transducers remove one or more deposits on the equipment assembly by generating and propagating high frequency ultrasound waves into the fluid detergent while the equipment assembly is in contact with the fluid detergent.

Abstract: A cleaning system and method uses a tank holding a fluid detergent and an equipment assembly formed from a plurality of discrete components joined together. One or more ultrasound transducers remove one or more deposits on the equipment assembly by generating and propagating high frequency ultrasound waves into the fluid detergent while the equipment assembly is in contact with the fluid detergent.

Abstract: A system for broad area geospatial object recognition, identification, classification, location and quantification, comprising an image manipulation module to create synthetically-generated images to imitate and augment an existing quantity of orthorectified geospatial images; together with a deep learning module and a convolutional neural network serving as an image analysis module, to analyze a large corpus of orthorectified geospatial images, identify and demarcate a searched object of interest from within the corpus, locate and quantify the identified or classified objects from the corpus of geospatial imagery available to the system. The system reports results in a requestor's preferred format.

Abstract: A surgical instrument includes a body, a shaft assembly, an end effector, and an electrical contact assembly. The includes a power source, while the shaft assembly extends distally from the body. The end effector includes a channel assembly and a cartridge assembly configured to selectively couple with the channel assembly. The cartridge assembly includes an electrically activated component. The electrical contact assembly is capable of electrically coupling the power source with the electrically activated component of the cartridge assembly. The electrical contact assembly includes a first electrical contact, a second electrical contact, and an insulating membrane. The first electrical contact is associated with the channel assembly while the second electrical contact is associated with the cartridge assembly. The insulating membrane is associated with either the first electrical contact or the second electrical contact.