Abstract: Provided herein are high energy ion beam generator systems and methods that provide low cost, high performance, robust, consistent, uniform, low gas consumption and high current/high-moderate voltage generation of neutrons and protons. Such systems and methods find use for the commercial-scale generation of neutrons and protons for a wide variety of research, medical, security, and industrial processes.

Abstract: Technology described herein can verify readiness of a customer tenant/customer for cloud provisioning based on the customer tenant. An example method comprises collecting, by a system comprising a processor, data based on user input from a customer tenant via a user interface, the data comprising information of a configuration setting that is to be used for cloud provisioning of a device based on the configuration setting. The method comprises, in response to collecting the configuration setting, analyzing, by the system, the configuration setting by comparing the configuration setting with respect to a selected rules check. The method comprises, in response to the analyzing of the configuration setting, determining, by the system, whether the configuration setting is acceptable for use in the cloud provisioning based on the configuration setting.

Abstract: A composition configured for oral use is provided, the composition including a filler in an amount of at least 20% by weight, based on the total weight of the composition, and at least one active ingredient including one or more botanical materials, stimulants, amino acids, vitamins, antioxidants, cannabinoids, pharmaceutical agents, or a combination thereof. The composition further includes a salt and at least one sweetener. The composition has a moisture content of at least about 40% by weight, based on the total weight of the composition.

Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

Abstract: Embodiments relate generally to a gas detector test fixture that recycles test gas. A portable gas detector test fixture, comprises a test chamber, a processor, a docking connector communicatively coupled to the processor, an output device communicatively coupled to the processor, a memory communicatively coupled to the processor, and an application stored in the memory that, when executed by the processor, is configured to conduct a bump test on a portable gas detector plugged into the docking connector and to output the bump test result to the output device. The test fixture further comprises an inflow line configured to connect to a test gas supply line of a test gas container, where the inflow line is coupled to the test chamber, and an outflow line configured to connect to a test gas return line of the test gas container, where the outflow line is coupled to the test chamber.

Abstract: A source driver and a method for color swapping are provided. The source driver includes: a processor configured to: obtain, from an application processor, a plurality of sub-pixel data, add a tag to each of the plurality of sub-pixel data to generate a plurality of new sub-pixel data, the tag indicating color information of the sub-pixel data, and perform color swapping on the plurality of new sub-pixel data; a multiplexer circuit communicatively coupled to the processor and configured to: obtain each of the plurality of color swapped new sub-pixel data in sequence, and select a corresponding gamma voltage according to the tag of the color swapped new sub-pixel data; and an analog amplifier circuit communicatively coupled to the multiplexer circuit and configured to provide a source driving signal to a corresponding sub-pixel in a pixel array according to the color swapped new sub-pixel data and the corresponding gamma voltage.

Abstract: A mattress system includes microclimate control capabilities for providing quality sleep experience. The mattress system includes a first side rail, a second side rail, a core positioned between the first side rail and the second side rail, a layer positioned under the core, and multiple straps extending from at least one of the first side rail and the second side rail and connected to the layer.

Abstract: An optics-integrated confinement apparatus system comprises a confinement apparatus chip having a confinement apparatus formed thereon and having at least one apparatus optical element disposed and/or formed thereon.

Abstract: A template for mounting components to a bed. The template can include a body positioner that aligns with a first portion of a mattress and an alignment body connected to the body positioner. The alignment body can be configured to receive a component and align the component with respect to the mattress when the body positioner is aligned with the first portion of the mattress. The body positioner can be a vertical plate, the first portion of the mattress can be a first edge of the mattress, and the alignment body can be a horizontal plate positioned on a top of a mattress surface.

Abstract: The techniques disclosed herein mitigate stochasticity when controlling a mechanical system with artificial intelligence (AI) agents. In some configurations, AI agents are created using data generated by a machine learning model. Stochasticity is segmented temporally into near term and long term, and different strategies are used to address stochasticity in the different timeframes. For example, long term stochasticity may be addressed with changes to the reward function used to train the model. Short term stochasticity may be addressed by applying a margin to the output of an AI agent. Example margins include window averaging, clamps, and statistical process control bounds. In one configuration, AI agents are regression brains that are generated from setpoints inferred by the model from environmental states. The limitations inherent to fitting a regression line to this data may result in some predicted setpoints being outside of an allowed range.

Abstract: Provided herein are high energy ion beam generator systems and methods that provide low cost, high performance, robust, consistent, uniform, low gas consumption and high current/high-moderate voltage generation of neutrons and protons. Such systems and methods find use for the commercial-scale generation of neutrons and protons for a wide variety of research, medical, security, and industrial processes.

Abstract: Embodiments relate generally to a gas detector test fixture (102) that recycles test gas, which can then be reused. A portable gas detector test fixture (102), comprises a test chamber (104), a processor (134), a docking connector (132) communicatively coupled to the processor (134), an output device (138) communicatively coupled to the processor (134), a memory (136) communicatively coupled to the processor (134), and an application (137) stored in the memory (136) that, when executed by the processor (134), is configured to conduct a bump test on a portable gas detector (106) plugged into the docking connector (132) and to output the bump test result to the output device (138).

Abstract: Various example embodiments are described in which an anisotropic encoder-decoder convolutional neural network architecture is employed to process multiparametric magnetic resonance images for the generation of cancer predication maps. In some example embodiments, a simplified anisotropic encoder-decoder convolutional neural network architecture may include an encoder portion that is deeper than a decoder portion. In some example embodiments, simplified network architectures may be combined with test-time-augmentation in order to facilitate training and testing with a minimal number of test subjects.

Abstract: A self-shielded and computer controlled system for performing non-invasive stereotactic radiosurgery and precision radiotherapy using a linear accelerator mounted within a two degree-of-freedom radiation shield coupled to a three-degree of freedom patient table is provided. The radiation shield can include an axial shield rotatable about an axial axis and an oblique shield independently rotatable about an oblique axis, thereby providing improved range of trajectories of the therapeutic and diagnostic radiation beams. Such shields can be balanced about their respective axes of rotation and about a common support structure to facilitate ease of movement. Such systems can further include an imaging system to accurately deliver radiation to the treatment target and automatically make corrections needed to maintain the anatomical target at the system isocenter.

Abstract: Systems and methods are provided for capturing gas byproducts of a fuel cell system, such as nitrogen. Instead of dispelling the gas byproducts, a byproduct management system can engage in selective isolation, compression, and storage of the gas byproducts in various storage tanks. The compression and storage of the gas byproducts can be effectuated using excess energy, e.g., regenerative energy.

Abstract: A method of operating an autonomous cleaning robot includes receiving, at a handheld computing device, a first input representing a first set of cleaning schedule parameters for a first cleaning schedule for the autonomous cleaning robot, the first cleaning schedule corresponding to a first area. The method includes presenting, on a display of the handheld computing device, the first cleaning schedule. The method includes receiving, at the handheld computing device, a second input representing a second set of cleaning schedule parameters for a second cleaning schedule for the autonomous cleaning robot, the second cleaning schedule corresponding to a second area different from the first area. The method includes presenting, on the display, the first and second cleaning schedules, and initiating a transmission to the autonomous cleaning robot, based on the first or second cleaning schedules, the transmission including data for causing the robot to initiate a cleaning mission.

Abstract: A method for fabricating a wildlife reproduction includes placing a reference device relative to a wildlife subject. The reference device pertains to scale and chromaticity coordinates to provide an accurate size and color reference for fabricating the wildlife reproduction of the wildlife subject. The wildlife subject is photographed in combination with the reference device at one or more predefined locations to produce two dimensional photographic image data. The two dimensional image data is converted to a three dimensional image file using photogrammetry. A value of the principal dimension of the wildlife subject is determined using the reference device. Dimensions of at least one other feature of the wildlife subject are calculated from the principal dimension to modify a three-dimensional image file of a selected wildlife subject to correspond to the wildlife subject. A three dimensional wildlife reproduction is fabricated from the modified three-dimensional image file of the selected wildlife subject.

Abstract: Systems and methods are provided for capturing gas byproducts of a fuel cell system, such as nitrogen. Instead of dispelling the gas byproducts, a byproduct management system can engage in selective isolation, compression, and storage of the gas byproducts in various storage tanks. The compression and storage of the gas byproducts can be effectuated using excess energy, e.g., regenerative energy.

Abstract: Technology described herein can verify readiness of a customer tenant/customer for cloud provisioning based on the customer tenant. An example method comprises collecting, by a system comprising a processor, data based on user input from a customer tenant via a user interface, the data comprising information of a configuration setting that is to be used for cloud provisioning of a device based on the configuration setting. The method comprises, in response to collecting the configuration setting, analyzing, by the system, the configuration setting by comparing the configuration setting with respect to a selected rules check. The method comprises, in response to the analyzing of the configuration setting, determining, by the system, whether the configuration setting is acceptable for use in the cloud provisioning based on the configuration setting.