Abstract: A method for determining an edge profile of a custom decorative article to be installed in an installation area is disclosed, the installation area having a perimeter having a plurality of corners. A computing device receives data indicative of a plurality of coordinates corresponding to the plurality of corners of the perimeter of the installation area. Based on at least first, second, and third coordinates respectively corresponding to first, second, and third corners of the plurality of corners of the perimeter of the installation area, the computing device determines dimensional and/or geometric characteristics of a pair of opposed portions of the edge profile that, in an installed position, are configured to meet to form a corner of the custom decorative article when installed at the second corner of the perimeter of the installation area.

Abstract: An example method includes capturing, via an x-ray machine, a plurality of x-ray images of a patient covering a number of different anatomy of the patient in any order, using a machine learning algorithm to process the plurality of x-ray images for identification of an anatomy in respective x-ray images of the plurality of x-ray images, associating a label with each of the plurality of x-ray images based on the identification of the anatomy, positioning each of the plurality of x-ray images upright based on a preset coordinate scheme for the anatomy, arranging the plurality of x-ray images into a predetermined order based on the species of the patient, and generating and outputting a data file including the plurality of x-ray images in the predetermined order, positioned upright, and labeled.

Abstract: A method for determining an edge profile of a custom decorative article to be installed in an installation area is disclosed, the installation area having a perimeter having a plurality of corners. A computing device receives data indicative of a plurality of coordinates corresponding to the plurality of corners of the perimeter of the installation area. Based on at least first, second, and third coordinates respectively corresponding to first, second, and third corners of the plurality of corners of the perimeter of the installation area, the computing device determines dimensional and/or geometric characteristics of a pair of opposed portions of the edge profile that, in an installed position, are configured to meet to form a corner of the custom decorative article when installed at the second corner of the perimeter of the installation area.

Abstract: A method for determining an edge profile of a custom decorative article to be installed in an installation area is disclosed, the installation area having a perimeter having a plurality of corners. A computing device receives data indicative of a plurality of coordinates corresponding to the plurality of corners of the perimeter of the installation area. Based on at least first, second, and third coordinates respectively corresponding to first, second, and third corners of the plurality of corners of the perimeter of the installation area, the computing device determines dimensional and/or geometric characteristics of a pair of opposed portions of the edge profile that, in an installed position, are configured to meet to form a corner of the custom decorative article when installed at the second corner of the perimeter of the installation area.

Abstract: An example method includes capturing, via an x-ray machine, a plurality of x-ray images of a patient covering a number of different anatomy of the patient in any order, using a machine learning algorithm to process the plurality of x-ray images for identification of an anatomy in respective x-ray images of the plurality of x-ray images, associating a label with each of the plurality of x-ray images based on the identification of the anatomy, positioning each of the plurality of x-ray images upright based on a preset coordinate scheme for the anatomy, arranging the plurality of x-ray images into a predetermined order based on the species of the patient, and generating and outputting a data file including the plurality of x-ray images in the predetermined order, positioned upright, and labeled.

Abstract: A method for determining an edge profile of a custom decorative article to be installed in an installation area is disclosed, the installation area having a perimeter having a plurality of corners. A computing device receives data indicative of a plurality of coordinates corresponding to the plurality of corners of the perimeter of the installation area. Based on at least first, second, and third coordinates respectively corresponding to first, second, and third corners of the plurality of corners of the perimeter of the installation area, the computing device determines dimensional and/or geometric characteristics of a pair of opposed portions of the edge profile that, in an installed position, are configured to meet to form a corner of the custom decorative article when installed at the second corner of the perimeter of the installation area.

Abstract: A method for determining an edge profile of a custom decorative article to be installed in an installation area is disclosed, the installation area having a perimeter having a plurality of corners. A computing device receives data indicative of a plurality of coordinates corresponding to the plurality of corners of the perimeter of the installation area. Based on at least first, second, and third coordinates respectively corresponding to first, second, and third corners of the plurality of corners of the perimeter of the installation area, the computing device determines dimensional and/or geometric characteristics of a pair of opposed portions of the edge profile that, in an installed position, are configured to meet to form a corner of the custom decorative article when installed at the second corner of the perimeter of the installation area.

Abstract: A method for determining an edge profile of a custom decorative article to be installed in an installation area is disclosed, the installation area having a perimeter having a plurality of corners. A computing device receives data indicative of a plurality of coordinates corresponding to the plurality of corners of the perimeter of the installation area. Based on at least first, second, and third coordinates respectively corresponding to first, second, and third corners of the plurality of corners of the perimeter of the installation area, the computing device determines dimensional and/or geometric characteristics of a pair of opposed portions of the edge profile that, in an installed position, are configured to meet to form a corner of the custom decorative article when installed at the second corner of the perimeter of the installation area.

Abstract: A method for determining an edge profile of a custom decorative article to be installed in an installation area is disclosed, the installation area having a perimeter having a plurality of corners. A computing device receives data indicative of a plurality of coordinates corresponding to the plurality of corners of the perimeter of the installation area. Based on at least first, second, and third coordinates respectively corresponding to first, second, and third corners of the plurality of corners of the perimeter of the installation area, the computing device determines dimensional and/or geometric characteristics of a pair of opposed portions of the edge profile that, in an installed position, are configured to meet to form a corner of the custom decorative article when installed at the second corner of the perimeter of the installation area.

Abstract: An example method includes capturing, via an x-ray machine, a plurality of x-ray images of a patient covering a number of different anatomy of the patient in any order, using a machine learning algorithm to process the plurality of x-ray images for identification of an anatomy in respective x-ray images of the plurality of x-ray images, associating a label with each of the plurality of x-ray images based on the identification of the anatomy, positioning each of the plurality of x-ray images upright based on a preset coordinate scheme for the anatomy, arranging the plurality of x-ray images into a predetermined order based on the species of the patient, and generating and outputting a data file including the plurality of x-ray images in the predetermined order, positioned upright, and labeled.

Abstract: A method for determining an edge profile of a custom decorative article to be installed in an installation area is disclosed, the installation area having a perimeter having a plurality of corners. A computing device receives data indicative of a plurality of coordinates corresponding to the plurality of corners of the perimeter of the installation area. Based on at least first, second, and third coordinates respectively corresponding to first, second, and third corners of the plurality of corners of the perimeter of the installation area, the computing device determines dimensional and/or geometric characteristics of a pair of opposed portions of the edge profile that, in an installed position, are configured to meet to form a corner of the custom decorative article when installed at the second corner of the perimeter of the installation area.

Abstract: A method for determining an edge profile of a custom decorative article to be installed in an installation area is disclosed, the installation area having a perimeter having a plurality of corners. A computing device receives data indicative of a plurality of coordinates corresponding to the plurality of corners of the perimeter of the installation area. Based on at least first, second, and third coordinates respectively corresponding to first, second, and third corners of the plurality of corners of the perimeter of the installation area, the computing device determines dimensional and/or geometric characteristics of a pair of opposed portions of the edge profile that, in an installed position, are configured to meet to form a corner of the custom decorative article when installed at the second corner of the perimeter of the installation area.

Abstract: An example method includes capturing, via an x-ray machine, a plurality of x-ray images of a patient covering a number of different anatomy of the patient in any order, using a machine learning algorithm to process the plurality of x-ray images for identification of an anatomy in respective x-ray images of the plurality of x-ray images, associating a label with each of the plurality of x-ray images based on the identification of the anatomy, positioning each of the plurality of x-ray images upright based on a preset coordinate scheme for the anatomy, arranging the plurality of x-ray images into a predetermined order based on the species of the patient, and generating and outputting a data file including the plurality of x-ray images in the predetermined order, positioned upright, and labeled.

Abstract: A space creating shower liner can have a window with a hoop fin rotatably and removably engaging a shower rod, a plurality of stiffening folds providing partial stiffness to the window, and a height less than a distance from the shower rod to a tub. Further, a liner can be removably engaged to the window, comprising a liner height less than the distance from the shower rod to the tub. The hoop fin causes the window and the liner to rotate about the shower rod, and the height and the liner height is greater than or equal to the distance from the shower rod to the tub.

Abstract: An example electrical connector includes a magnetic core embedded in the overmold and encircling conductive paths therein and a Hall-effect sensor embedded in the overmold and configured to sense a magnetic field of the magnetic core. The Hall-effect sensor generates an output that indicates whether or not the supply current flowing through the connector matches the return current flowing through the connector, and this output may be used to detect stray-current faults in which current bypasses the connector to return via alternative paths such as through a device chassis. The connector may include one or more supply wires embedded in the overmold, one or more return wires embedded in the overmold, one or more supply terminals embedded in the overmold and terminating the supply wires, and one or more return terminals embedded in the overmold and terminating the return wires.

Abstract: Systems and methods are provided for providing thermal protection to a power backplane printed circuit board. A distributed hotspot detection grid is included in the printed circuit board, the distributed hotspot detection grid comprising a plurality of passive temperature sensors spread across the printed circuit board to measure temperature increases. The plurality of passive temperature sensors are connected to a detection circuit for comparing signals from the passive temperature sensors to a reference signal. If the temperature increases on the PCB, electrical characteristics of at least one passive temperature sensor will change, resulting in a change of the input signal to the detection circuit. When the threshold is exceeded (indicating a potential short circuit or hotspot), the detection circuit outputs a shut down signal to the one or more power supplies connected to the of the backplane printed circuit board, to avoid catastrophic damage to the printed circuit board.

Abstract: An example method includes capturing, via an x-ray machine, a plurality of x-ray images of a patient covering a number of different anatomy of the patient in any order, using a machine learning algorithm to process the plurality of x-ray images for identification of an anatomy in respective x-ray images of the plurality of x-ray images, associating a label with each of the plurality of x-ray images based on the identification of the anatomy, positioning each of the plurality of x-ray images upright based on a preset coordinate scheme for the anatomy, arranging the plurality of x-ray images into a predetermined order based on the species of the patient, and generating and outputting a data file including the plurality of x-ray images in the predetermined order, positioned upright, and labeled.

Abstract: An accident detection system for providing movement data for processing using a ML model executed on a mobile device, the movement data being generated by the mobile device, receiving, from the ML model, a first prediction representative of an occurrence of a first accident, in response to receiving the first prediction, providing a first local alert on the mobile device, and selecting one of a first network and a second network for broadcasting a first remote alert to one or more end-points, if the first network is selected, the first remote alert is broadcast over the first network by the mobile device, and, if the second network is selected, the first remote alert is broadcast over the second network by an alerting module that is in communication with the mobile device.

Abstract: A shower liner system configured to engage a shower rod having a rib with a strut slidably engaging the shower rod and a panel disposed approximately perpendicular to the strut having a top end and a bottom end. A liner can include a waterproof body with a top header disposed approximate the shower rod and having an engagement point, and a second header disposed away from the first header toward the floor. The top end of the panel engages the first header and the second end of the panel engages the second header. The rib is configured to hang at least a portion of the liner at an angle to the shower rod.

Abstract: Various examples described herein provide for determining a first data input/output (I/O) type of a computing device module and a second data I/O type of an I/O switch module, where the computing device module and the I/O switch module are coupled through a backplane system that includes a retimer. In response to the first data I/O type matching the second data I/O type, a connection between the computing device module and the I/O switch module may be permitted or prevented via the retimer.