Abstract: A bassinet includes a base, a column assembly rotatably connected to the base at a first end of the column assembly, an arm rotatably connected to a second end of the column assembly, a tub frame pivotably connected to the arm, an infant tub retained within the tub frame, the infant tub including a front wall, a back wall, and two side walls and having areas of reduced height along the front wall and at least one of the side walls to provide enhanced access to the infant located within the infant tub, and an insert configured to reversibly fit within an interior of the infant tub.

Abstract: Systems and methods are disclosed for predicting one or more characteristics of a animal by applying computational methods to image(s) of the animal to generate one or more metrics indicative of the characteristics. Embodiments determine predictors of characteristics by creating a sample library of animals of a particular type, determining facial descriptor measurements for each animal, determining relationships between facial descriptor measurements and additional library data, and selecting predictors from these relationships. Other embodiments predict characteristics of animals not in the library and, optionally, categorize animals for particular discipline, training, management, care, etc. based on the characteristics. Other embodiments predict characteristics and determine strategies for group(s) of animals using predicted characteristics of individual animals.

Abstract: Embodiments include methods for predicting one or more characteristics of an individual, such as a human or non-human animal, by applying computational methods to image(s) of the individual to generate one or more metrics indicative of the characteristics. Embodiments determine predictors of characteristics by creating a sample library of individuals, determining facial measurements for each individual, determining relationships between facial measurements and additional library data, and selecting predictors from these relationships. Embodiments include methods for predicting characteristics of individuals not in the library. Embodiments include methods for predicting characteristics of groups using predicted characteristics of individuals. Embodiments determine suitability of a pair of individuals (from the same or different species) for a particular purpose, task, or relationship based on characteristics of individuals.

Abstract: Embodiments include methods for predicting one or more characteristics of an individual, such as a human or non-human animal, by applying computational methods to image(s) of the individual to generate one or more metrics indicative of the characteristics. Embodiments determine predictors of characteristics by creating a sample library of individuals, determining facial measurements for each individual, determining relationships between facial measurements and additional library data, and selecting predictors from these relationships. Embodiments include methods for predicting characteristics of individuals not in the library. Embodiments include methods for predicting characteristics of groups using predicted characteristics of individuals. Embodiments determine suitability of a pair of individuals (from the same or different species) for a particular purpose, task, or relationship based on characteristics of individuals.

Abstract: The invention relates to a mechanism that can be integrated with silicon facial prostheses used to recapitulate a natural facial appearance through biomimetic actuation. The prosthetic eye comprises a servo motor, microcontroller, battery, rotational shaft, and customized stainless steel tarsus. The tarsus mimics the natural eyelid and reinforces the silicon lid for rotational blink motion. A stainless steel clip holds the device together and polyurethane foam encases the device to allow proper fitting in the orbital cavity. The present invention fits within a model orbital cavity and the generated blink motion is tunable to match the position profile of an in vivo blink.

Abstract: Systems and methods are disclosed for predicting one or more characteristics of a animal by applying computational methods to image(s) of the animal to generate one or more metrics indicative of the characteristics. Embodiments determine predictors of characteristics by creating a sample library of animals of a particular type, determining facial descriptor measurements for each animal, determining relationships between facial descriptor measurements and additional library data, and selecting predictors from these relationships. Other embodiments predict characteristics of animals not in the library and, optionally, categorize animals for particular discipline, training, management, care, etc. based on the characteristics. Other embodiments predict characteristics and determine strategies for group(s) of animals using predicted characteristics of individual animals.

Abstract: Embodiments include methods for predicting one or more characteristics of an individual, such as a human or non-human animal, by applying computational methods to image(s) of the individual to generate one or more metrics indicative of the characteristics. Embodiments determine predictors of characteristics by creating a sample library of individuals, determining facial measurements for each individual, determining relationships between facial measurements and additional library data, and selecting predictors from these relationships. Embodiments include methods for predicting characteristics of individuals not in the library. Embodiments include methods for predicting characteristics of groups using predicted characteristics of individuals. Embodiments determine suitability of a pair of individuals (from the same or different species) for a particular purpose, task, or relationship based on characteristics of individuals.

Abstract: Embodiments include methods for predicting one or more characteristics of an individual, such as a human or non-human animal, by applying computational methods to image(s) of the individual to generate one or more metrics indicative of the characteristics. Embodiments determine predictors of characteristics by creating a sample library of individuals, determining facial measurements for each individual, determining relationships between facial measurements and additional library data, and selecting predictors from these relationships. Embodiments include methods for predicting characteristics of individuals not in the library. Embodiments include methods for predicting characteristics of groups using predicted characteristics of individuals. Embodiments determine suitability of a pair of individuals (from the same or different species) for a particular purpose, task, or relationship based on characteristics of individuals.

Abstract: Embodiments include methods for predicting one or more characteristics of an individual, such as a human or non-human animal, by applying computational methods to image(s) of the individual to generate one or more metrics indicative of the characteristics. Embodiments determine predictors of characteristics by creating a sample library of individuals, determining facial measurements for each individual, determining relationships between facial measurements and additional library data, and selecting predictors from these relationships. Embodiments include methods for predicting characteristics of individuals not in the library. Embodiments include methods for predicting characteristics of groups using predicted characteristics of individuals. Embodiments determine suitability of a pair of individuals (from the same or different species) for a particular purpose, task, or relationship based on characteristics of individuals.

Abstract: Embodiments include methods for predicting one or more characteristics of an individual, such as a human or non-human animal, by applying computational methods to image(s) of the individual to generate one or more metrics indicative of the characteristics. Embodiments determine predictors of characteristics by creating a sample library of individuals, determining facial measurements for each individual, determining relationships between facial measurements and additional library data, and selecting predictors from these relationships. Embodiments include methods for predicting characteristics of individuals not in the library. Embodiments include methods for predicting characteristics of groups using predicted characteristics of individuals. Embodiments determine suitability of a pair of individuals (from the same or different species) for a particular purpose, task, or relationship based on characteristics of individuals.

Abstract: Systems and methods are disclosed for predicting one or more characteristics of a animal by applying computational methods to image(s) of the animal to generate one or more metrics indicative of the characteristics. Embodiments determine predictors of characteristics by creating a sample library of animals of a particular type, determining facial descriptor measurements for each animal, determining relationships between facial descriptor measurements and additional library data, and selecting predictors from these relationships. Other embodiments predict characteristics of animals not in the library and, optionally, categorize animals for particular discipline, training, management, care, etc. based on the characteristics. Other embodiments predict characteristics and determine strategies for group(s) of animals using predicted characteristics of individual animals.

Abstract: Systems and methods are disclosed for predicting one or more characteristics of a animal by applying computational methods to image(s) of the animal to generate one or more metrics indicative of the characteristics. Embodiments determine predictors of characteristics by creating a sample library of animals of a particular type, determining facial descriptor measurements for each animal, determining relationships between facial descriptor measurements and additional library data, and selecting predictors from these relationships. Other embodiments predict characteristics of animals not in the library and, optionally, categorize animals for particular discipline, training, management, care, etc. based on the characteristics. Other embodiments predict characteristics and determine strategies for group(s) of animals using predicted characteristics of individual animals.

Abstract: A hanging garment storage unit includes a hanger, a frame, and a drawer. The hanger is arranged to removably couple the frame to an external support. The frame has a broad side and a top. A track is coupled to the broad side of the frame, and the drawer is slidably coupled to the frame. The frame has a broad side and a narrow side, and the drawer is arranged to slide along the track with the broad side of the drawer facing the broad side of the frame. The drawer is further arranged to pivot about an end of the frame to allow movement of the drawer from a storage position to an access position.

Abstract: A hanging garment storage unit includes a hanger, a frame, and a drawer. The hanger is arranged to removably couple the frame to an external support. The frame has a broad side and a top. A track is coupled to the broad side of the frame, and the drawer is slidably coupled to the frame. The frame has a broad side and a narrow side, and the drawer is arranged to slide along the track with the broad side of the drawer facing the broad side of the frame. The drawer is further arranged to pivot about an end of the frame to allow movement of the drawer from a storage position to an access position.

Abstract: An all-natural composition can be used to repel or kill insects. The composition is an aqueous solution or mixture of available non-toxic ingredients. These include a weak acid to lower the pH, and one or more aromatics. The ingredients include one or more herbal essential oils, such as rosemary oil, peppermint oil, or a blend; a natural aqueous sugar extract or extracts, such as honey and/or molasses; a fragrance; and a natural weak acid solution, such as apple cider vinegar and/or lemon juice. The composition can be applied to dogs, horses, or other pets. The composition is also effective on hair and skin to combat the effects of swimming pool chlorine.