Abstract: A gift bag with a pocket containing an integral pop-up structure which is operative to move between a first position wherein the pop-up structure is in a substantially flat position and substantially contained within the pocket of the gift bag, and a second position wherein the pop-up structure is unfolded into a three-dimensional structure that is substantially contained outside of the pocket of the gift bag.

Abstract: Described are methods of preparing reduced 3,7-diamino-10H-phenothiazine (DAPTZ) compounds of formula: wherein: R1 and R9 are independently selected from: —H; C1-4alkyl; C2-4 alkenyl; and halogenated C1-4 alkyl; each of R3NA and R3NB is independently selected from: —H; C1-4 alkyl; C2-4 alkenyl; and halogenated C1-4 alkyl; each of R7NA and R7NB is independently selected from: —H; C1-4 alkyl; C2-4 alkenyl; and halogenated C1-4 alkyl; each of HX1 and HX2 is independently a protic acid; and pharmaceutically acceptable salts, solvates, and hydrates thereof. These methods are particularly useful for producing stable reduced forms, and with high purity. The stability and purity are especially relevant for pharmaceutical compositions for the treatment of disease. The compounds are useful for treatment of e.g. tauopathies, such as Alzheimer's disease, and also as prodrugs for the corresponding oxidized thioninium drugs.

Abstract: A hair styling composition containing chitosan, and a cationic acrylate polymer. The cationic acrylate polymer may contain a 2 methacryloxyethyltrimethylammonium chloride polymer or copolymer, and may be a polyquaternium-37 and/or polyquaternium-32. The combination of chitosan and cationic acrylate polymer provides a hair styling composition with desirable shear-thinning properties, while being sufficiently stable.

Abstract: Systems, methods, and apparatuses for generating and using machine learning models using genetic data. A set of input features for training the machine learning model can be identified and used to train the model based on training samples, e.g., for which one or more labels are known. As examples, the input features can include aligned variables (e.g., derived from sequences aligned to a population level or individual references) and/or non-aligned variables (e.g., sequence content). The features can be classified into different groups based on the underlying genetic data or intermediate values resulting from a processing of the underlying genetic data. Features can be selected from a feature space for creating a feature vector for training a model. The selection and creation of feature vectors can be performed iteratively to train many models as part of a search for optimal features and an optimal model.

Abstract: A pop-up with slide lock mechanism is provided which moves between a first position, wherein the pop-up is in a flat, unfolded position, and a second position, wherein the pop-up is in an unfolded, upright or three-dimensional (3D) configuration by sliding one panel along part of the pop-up structure.

Abstract: A wearable device for projecting image light to an eye of a viewer and forming an image of virtual content in an augmented reality display is provided. The wearable device includes a projector and stack of waveguides optically connected to the projector. The wearable device also includes an eye tracking system comprising a plurality of illumination sources, an optical element having optical power, and a set of cameras. The optical element is disposed between the plurality of illumination sources and the set of cameras. In some embodiments, the augmented reality display includes an eyepiece operable to output virtual content from an output region and a plurality of illumination sources. At least some of the plurality of illumination sources overlap with the output region.

Abstract: A method includes receiving, from a subscriber device, a request including virtual region characteristics and an occupancy threshold, and determining, using image data captured by a camera and the virtual region characteristics, a virtual region corresponding to a portion of a physical region within a field of view of the camera. The virtual region is smaller than the physical region. The method also includes determining, using the image data, an occupancy of the virtual region and determining that the occupancy of the virtual region satisfies the occupancy threshold. In response to determining that the occupancy of the virtual region satisfies the occupancy threshold, the method also includes generating a notification to the subscriber device.

Abstract: Systems, methods, and apparatuses for generating and using machine learning models using genetic data. A set of input features for training the machine learning model can be identified and used to train the model based on training samples, e.g., for which one or more labels are known. As examples, the input features can include aligned variables (e.g., derived from sequences aligned to a population level or individual references) and/or non-aligned variables (e.g., sequence content). The features can be classified into different groups based on the underlying genetic data or intermediate values resulting from a processing of the underlying genetic data. Features can be selected from a feature space for creating a feature vector for training a model. The selection and creation of feature vectors can be performed iteratively to train many models as part of a search for optimal features and an optimal model.

Abstract: In implementations of systems for generating review likelihoods for sets of code, a computing device implements a review system to compile input data based on code data describing information associated with a set of new code to be incorporated into a set of existing code and reviewer data describing information associated with a potential reviewer of sets of code. The review system processes the input data using a machine learning model trained on training data to generate review likelihoods for potential reviewers of sets of code to be selected to review sets of new code. A review likelihood for the potential reviewer of sets of code to be selected to review the set of new code is generated using the machine learning model based on processing the input data. The review system generates an indication of the review likelihood for display in a user interface.

Abstract: Herein disclosed is receiving a request for an amount of electric energy, generating hydrogen by dissociating hydrogen from water, storing the dissociated hydrogen, determining if sufficient hydrogen has been stored to generate the requested amount of electric energy, refraining from recombining the hydrogen with oxygen until sufficient hydrogen has been stored and in response to determining sufficient hydrogen has been stored, activating hydrogen recombination with oxygen to generate the requested amount of electric energy. The hydrogen may be dissociated using an electrolyzer. The electrolyzer may be powered by a battery or a photovoltaic array. An implementation may selectively charge the battery or power the electrolyzer using the photovoltaic array. Steam pressurized from recombining the dissociated hydrogen with oxygen may be used to drive a turbine generator to produce the requested amount of electric energy.

Abstract: Disclosed are compounds of general formula (I): and pharmaceutically acceptable salts thereof, formulations, methods and uses in, for example, the treatment of disease.

Abstract: Herein disclosed is receiving a request for an amount of electric energy, generating hydrogen by dissociating hydrogen from water, storing the dissociated hydrogen, determining if sufficient hydrogen has been stored to generate the requested amount of electric energy, refraining from recombining the hydrogen with oxygen until sufficient hydrogen has been stored and in response to determining sufficient hydrogen has been stored, activating hydrogen recombination with oxygen to generate the requested amount of electric energy. The hydrogen may be dissociated using an electrolyzer. The electrolyzer may be powered by a battery or a photovoltaic array. An implementation may selectively charge the battery or power the electrolyzer using the photovoltaic array. Steam pressurized from recombining the dissociated hydrogen with oxygen may be used to drive a turbine generator to produce the requested amount of electric energy.

Abstract: The present system provides a delivery device that may monitor an individual's biometric data. If the biometric data fall below a certain threshold, the delivery device will trigger an alert to medical professionals, indicating the individual's location, as well as alerting friends or other contacts of the individual. In addition, if medical condition is detected, such as an overdose, the delivery device will administer a medicament, such as an opioid antagonist, via intramuscular or subcutaneous injection. The delivery device will continue to administer the medicament until disabled by the individual or a medical professional as long as the delivery device continues to be triggered to do so.

Abstract: Herein disclosed is receiving a request for an amount of electric energy, generating hydrogen by dissociating hydrogen from water, storing the dissociated hydrogen, determining if sufficient hydrogen has been stored to generate the requested amount of electric energy, refraining from recombining the hydrogen with oxygen until sufficient hydrogen has been stored and in response to determining sufficient hydrogen has been stored, activating hydrogen recombination with oxygen to generate the requested amount of electric energy. The hydrogen may be dissociated using an electrolyzer. The electrolyzer may be powered by a battery or a photovoltaic array. An implementation may selectively charge the battery or power the electrolyzer using the photovoltaic array. Steam pressurized from recombining the dissociated hydrogen with oxygen may be used to drive a turbine generator to produce the requested amount of electric energy.

Abstract: Foldable, pop-up, paper décor items such as a wreath, a countdown calendar and a decorative scene that can be folded flat for mailing or storage and unfolded and placed on display. The foldable nature of these items promotes re-usability, minimizes storage space, and allows for easy shipping.

Abstract: A foldable garland or banner with pop-up elements that can be folded flat for easy storage, transport or delivery and can be unfolded into a unique, festive banner with pop-up elements. The pop-up elements are self-erecting when the banner is suspended from a loop attached to each distal end of the banner. The foldable banner is a low-cost, reusable, décor item that instantly creates a celebratory atmosphere.

Abstract: In implementations of systems for generating review likelihoods for sets of code, a computing device implements a review system to compile input data based on code data describing information associated with a set of new code to be incorporated into a set of existing code and reviewer data describing information associated with a potential reviewer of sets of code. The review system processes the input data using a machine learning model trained on training data to generate review likelihoods for potential reviewers of sets of code to be selected to review sets of new code. A review likelihood for the potential reviewer of sets of code to be selected to review the set of new code is generated using the machine learning model based on processing the input data. The review system generates an indication of the review likelihood for display in a user interface.

Abstract: Disclosed are compounds of general formula (I): and pharmaceutically acceptable salts thereof, formulations, methods and uses in, for example, the treatment of disease.

Abstract: In implementations of systems for classifying incorporation metrics, a computing device implements a classification system to receive code data describing information associated with a set of new code defining new functionality for an application. The set of new code is to be incorporated into a set of existing code defining existing functionality of the application. The classification system processes the code data using a machine learning model trained on training data to generate classifications of incorporation metrics for sets of new code defining new functionalities to be incorporated into sets of existing code defining existing functionalities. A classification of an incorporation metric for the set of new code is output using the machine learning model based on processing the code data. The classification system generates an indication of the classification of the incorporation metric for the set of new code for display in a user interface.

Abstract: The technical description relates to an expandable intervertebral spacer configured to engage an intervertebral disk. An example expandable intervertebral spacer includes a main body, a first endplate, a second endplate, a driving member, and an actuation member. The expandable intervertebral spacer is transitions from a first configuration to a second configuration by structural interfacing between steps defined on the first endplate, the second endplate, and the driving member. Steps include a surface that lies on a plane disposed at a non-parallel angle to the longitudinal axis of the intervertebral spacer.