Abstract: Particular embodiments may provide a vehicle window assembly that includes a window pane, a latch, and a mount. The window pane is, in some embodiments, moveable to a closed position, a vented position, and an open position. The latch is, in some embodiments, coupled to a first edge of the window pane. In some embodiments, the mount is rotatably coupled to a second edge of the window pane. The mount and window pane are, in some embodiments, relatively rotatable by at least 45 degrees. In the open position, the mount and the window pane are relatively rotatable to a first angle of at least 45 degrees; in the vented position, the latch is configured to hold the window at a second angle less than 45 degrees; and in the closed position, the latch is configured to hold the window pane against a window seal.

Abstract: A system for mechanical attachment includes a first structure including a first body that is configured for a supporting surface and is connected to a member that extends from the first body. The system further includes a second structure including a second body that is also configured for a supporting surface with a compliant member that extends from the second body. The second structure is configured to form a connection with the first structure by deformation of at least a portion of the compliant member relative to the first structure.

Abstract: The present disclosure relates to cybersecurity architectures and systems for assessing and quantifying security threats and risks associated with machine-readable codes, such as quick response codes, barcodes, data matrix codes, and other types of codes. A security application comprises a multi-context threat assessment system configured to analyze a broad spectrum of risk assessment attributes across multiple contexts. These contexts relate to the machine-readable code itself, target network resources identified by the code, entities affiliated with the code, end-users interacting with the code, and enterprise systems policies. The system can evaluate various risk assessment attributes for each of these contexts to more accurately quantify potential security risks associated with the machine-readable codes.

Abstract: A soil enhancement system comprising an open-system bioreactor; a soil enhancement mix; a soil enhancement composition; and an irrigation system in communication with said open-system bioreactor. The system may further comprise an auto-fill device, a recirculation pump. and an aerator. A method of soil enhancement comprising flowing fluid into an open-system bioreactor; disposing a soil enhancement mix into an open-system bioreactor; contacting the fluid with the soil enhancement mix to form a soil enhancement composition; flowing the soil enhancement composition out of the open-system bioreactor; and flowing the soil enhancement composition through an irrigation system.

Abstract: A method of discovering relationships between iris physiology and cognitive states and/or emotional states of a subject includes providing a computing device and a video camera to record a close-up view of the subject's eye. A first light is held to the lower eyelid skin and a second light a distance away illuminating the stroma of the eye. The first and second light are electronically synced together and configured to flash alternatively. The user engages in a plurality of tasks while recording ocular information which is processed to identify correlations between the responses in the iris musculature and the distortions in the stroma through the use optimized algorithms. One can then identifying at least one predictive distortion is identified in the stroma capturable solely with a visible-spectrum camera correlating to a predicted responses in the iris musculature.

Abstract: Systems and methods are presented herein for a hinge assembly for adjusting, removing, and reinstalling a panel on a vehicle. The hinge assembly comprises a mount fixedly attached to a surface. A hinge body is affixed to the mount by a first hinge. A bracket is fixedly attached to a panel coupled to the hinge body by a second hinge. A release lever is configured to release the bracket from the hinge body.

Abstract: An anticounterfeiting device having a film stack including functionalized microstructures and nanostructures that produces overt and covert features under ambient visible and ultraviolet light, as well as methods of use and construction are disclosed herein.

Abstract: The present disclosure relates to cybersecurity architectures and systems for assessing and quantifying security threats and risks associated with machine-readable codes, such as quick response codes, barcodes, data matrix codes, and other types of codes. A security application comprises a multi-context threat assessment system configured to analyze a broad spectrum of risk assessment attributes across multiple contexts. These contexts relate to the machine-readable code itself, target network resources identified by the code, entities affiliated with the code, end-users interacting with the code, and enterprise systems policies. The system can evaluate various risk assessment attributes for each of these contexts to more accurately quantify potential security risks associated with the machine-readable codes.

Abstract: A tonneau cover can be provided for installation on a vehicle. The tonneau cover may be adaptably installed onto the vehicle. For example, in certain embodiments, the panels can be provided and/or stored individually and then installed into an assembled configuration on the vehicle to overlap a cargo area of the vehicle. In certain embodiments, the tonneau cover may be inserted at a perimeter of the cargo area. For example, the panels can be linked together as they are installed until secured onto the vehicle.

Abstract: A method to measure a cognitive load based upon ocular information of a subject includes the steps of: providing a video camera configured to record a close-up view of at least one eye of the subject; providing a computing device electronically connected to the video camera and the electronic display; recording, via the video camera, the ocular information of the at least one eye of the subject; processing, via the computing device, the ocular information to identify changes in ocular signals of the subject through the use of convolutional neural networks; evaluating, via the computing device, the changes in ocular signals from the convolutional neural networks by a machine learning algorithm; determining, via the machine learning algorithm, the cognitive load for the subject; and displaying, to the subject and/or to a supervisor, the cognitive load for the subject.

Abstract: Particular embodiments may provide a vehicle window assembly that includes a window pane, a latch, and a mount. The window pane is, in some embodiments, moveable to a closed position, a vented position, and an open position. The latch is, in some embodiments, coupled to a first edge of the window pane. In some embodiments, the mount is rotatably coupled to a second edge of the window pane. The mount and window pane are, in some embodiments, relatively rotatable by at least 45 degrees. In the open position, the mount and the window pane are relatively rotatable to a first angle of at least 45 degrees; in the vented position, the latch is configured to hold the window at a second angle less than 45 degrees; and in the closed position, the latch is configured to hold the window pane against a window seal.

Abstract: An anticounterfeiting device having a film stack including functionalized microstructures and nanostructures that produces overt and covert features under ambient visible and ultraviolet light, as well as methods of use and construction are disclosed herein.

Abstract: A method of deception detection based upon ocular information of a subject provides a video camera configured to record a close-up view of a subject's eye. A cognitive state model is configured to determine a high to a low cognitive load experienced by the subject. An emotional state model is configured to determine a high to a low state of arousal experienced by the subject. After asking a question, the ocular information is processed to identify changes in ocular signals of the subject. The cognitive state and emotional state models are evaluated based solely on the changes in ocular signals where a probability of the subject being either truthful or deceptive is estimated for a binary output.

Abstract: An automatic tire inflator assembly includes an input hose that is fluidly attachable to an air source to receive compressed air from the air source. An output hose is fluidly attachable to an air stem of an inflatable tire. A control unit is fluidly coupled to the input hose to receive the compressed air from the air source. Additionally, the control unit is fluidly coupled to the output hose to inflate the inflatable tire. A gauge is fluidly coupled to the control unit and the gauge is settable to determine the pre-determined threshold pressure. The control unit is turned off when the gauge measures air pressure that exceeds the pre-determined threshold pressure to inflate the inflatable tire to a desired air pressure.

Abstract: A method to measure a cognitive load based upon ocular information of a subject includes the steps of: providing a video camera configured to record a close-up view of at least one eye of the subject; providing a computing device electronically connected to the video camera and the electronic display; recording, via the video camera, the ocular information of the at least one eye of the subject; processing, via the computing device, the ocular information to identify changes in ocular signals of the subject through the use of convolutional neural networks; evaluating, via the computing device, the changes in ocular signals from the convolutional neural networks by a machine learning algorithm; determining, via the machine learning algorithm, the cognitive load for the subject; and displaying, to the subject and/or to a supervisor, the cognitive load for the subject.

Abstract: A system for classifying patient parameter values may include at least one processor programmed to access first information associated with a plurality of patients, the first information including a plurality of patient parameters associated with the plurality of patients, the first information being accessed electronically via a database; determine a first value associated with a patient parameter of at least one of the plurality of patients; analyze second information associated with at least one patient to determine a second value of the patient parameter; detect, based on analysis of at least the first value and the second value, a potential anomaly in the second value; and cause a graphical user interface of a computing device to display at least one graphical element indicating the potential anomaly.

Abstract: A method to optimize learning based upon ocular information of a subject includes providing a video camera for recording a close-up view of a subject's eye. A first electronic display shows a plurality of educational subject matter to the subject. A second electronic display shows an output to an instructor. Changes in ocular signals of the subject are processed through the use optimized algorithms. A cognitive state model determines a low to a high cognitive load experienced by the subject. The cognitive state model is evaluated based on the changes in the ocular signals for determining a probability of the low to the high cognitive load experienced by the subject. The probability of the low to the high cognitive load experienced by the subject is displayed to the instructor.

Abstract: A system for classifying patient parameter values may include at least one processor programmed to access first information associated with a plurality of patients, the first information including a plurality of patient parameters associated with the plurality of patients, the first information being accessed electronically via a database; determine a first value associated with a patient parameter of at least one of the plurality of patients; analyze second information associated with at least one patient to determine a second value of the patient parameter; detect, based on analysis of at least the first value and the second value, a potential anomaly in the second value; and cause a graphical user interface of a computing device to display at least one graphical element indicating the potential anomaly.