Abstract: A dosimetry system for monitoring radiation exposure for a device under inspection comprises a support structure, a plurality of detectors, a signal processing unit, and a computing device. The support structure includes an upper surface on which the device under inspection is positioned. The detectors are positioned in proximity to the device under inspection. Each detector is configured to detect radiation and generate a radiation electronic signal whose level varies according to an amount of radiation to which the detector is exposed. The signal processing unit is configured to receive the radiation electronic signal from each detector and output data derived from the radiation electronic signals. The computing device is configured to receive the data from the signal processing unit and determine an accumulated radiation level for each detector.

Abstract: A snow ski assembly is provided for use by an individual to slide across a snow covered surface, for example, under the force of gravity. The assembly includes a ski having a bottom wall for engaging the snow covered surface and an upturned peripheral region extending around a perimeter of the bottom wall. The bottom wall of the ski includes at least one control structure extending across at least a portion of the bottom wall, where the at least one control structure is configured to control a movement of the ski on the snow covered surface. The assembly also includes a mounting feature configured to couple a binding to the bottom wall of the ski, such that the individual can position a foot in the binding and use the ski to slide across the snow covered surface.

Abstract: An emotor connection arrangement for connecting power electronics of an electric or hybrid electric vehicle to an emotor. The emotor connection arrangement includes a junction box configured to extend from the power electronics to the emotor, and phase bars that extend in the junction box and electrically connect the power electronics to the emotor. A first access cover is removably connected to the junction box and configured to provide access for connecting the phase bars to the emotor, and a second access cover provides similar access for connecting the phase bars to the power electronics. In order to prevent overheating, the first access cover includes a cooling fluid channel with a cooling fluid inlet configured to be connected to a cooling fluid source and a cooling fluid outlet configured to be connected to a cooling fluid return.

Abstract: A method for determining cardiology disease risk from electrocardiogram trace data and clinical data includes receiving electrocardiogram trace data associated with a patient, receiving the patient's clinical data, providing both sets of data to a trained machine learning composite model that is trained to evaluate the data with respect to each disease of a set of cardiology diseases including three or more of cardiac amyloidosis, aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, tricuspid regurgitation, abnormal reduced ejection fraction, or abnormal interventricular septal thickness, generating, by the model and based on the evaluation, a composite risk score reflecting a likelihood of the patient being diagnosed with one or more of the cardiology diseases within a predetermined period of time from when the electrocardiogram trace data was generated, and outputting the composite risk score to at least one of a memory or a display.

Abstract: A snow ski assembly is provided for use by an individual to slide across a snow covered surface, for example, under the force of gravity. The assembly includes a ski having a bottom wall for engaging the snow covered surface and an upturned peripheral region extending around a perimeter of the bottom wall. The bottom wall of the ski includes at least one control structure extending across at least a portion of the bottom wall, where the at least one control structure is configured to control a movement of the ski on the snow covered surface. The assembly also includes a mounting feature configured to couple a binding to the bottom wall of the ski, such that the individual can position a foot in the binding and use the ski to slide across the snow covered surface.

Abstract: A method for determining cardiology disease risk from electrocardiogram trace data and clinical data includes receiving electrocardiogram trace data associated with a patient, receiving the patient's clinical data, providing both sets of data to a trained machine learning composite model that is trained to evaluate the data with respect to each disease of a set of cardiology diseases including three or more of cardiac amyloidosis, aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, tricuspid regurgitation, abnormal reduced ejection fraction, or abnormal interventricular septal thickness, generating, by the model and based on the evaluation, a composite risk score reflecting a likelihood of the patient being diagnosed with one or more of the cardiology diseases within a predetermined period of time from when the electrocardiogram trace data was generated, and outputting the composite risk score to at least one of a memory or a display.

Abstract: A method and system for determining cardiac disease risk from electrocardiogram trace data is provided. The method includes receiving electrocardiogram trace data associated with a patient, the electrocardiogram trace data having an electrocardiogram configuration including a plurality of leads. One or more leads of the plurality of leads that are derivable from a combination of other leads of the plurality of leads are identified, and a portion of the electrocardiogram trace data does not include electrocardiogram trace data of the one or more leads. The portion of the electrocardiogram data is provided to a trained machine learning model, to evaluate the portion of the electrocardiogram trace data with respect to one or more cardiac disease states. A risk score reflecting a likelihood of the patient being diagnosed with a cardiac disease state within a predetermined period of time is generated by the trained machine learning model based on the evaluation.

Abstract: A method and system for predicting the likelihood that a patient will suffer from a cardiac event is provided. The method includes receiving electrocardiogram data associated with the patient, providing at least a portion of the electrocardiogram data to a trained model, receiving a risk score indicative of the likelihood the patient will suffer from the cardiac event within a predetermined period of time from when the electrocardiogram data was generated, and outputting the risk score to at least one of a memory or a display for viewing by a medical practitioner or healthcare administrator. The system includes at least one processor executing instructions to carry out the steps of the method.

Abstract: A method and system for predicting the likelihood that a patient will suffer from a cardiac event is provided. The method includes receiving electrocardiogram data associated with the patient, providing at least a portion of the electrocardiogram data to a trained model, receiving a risk score indicative of the likelihood the patient will suffer from the cardiac event within a predetermined period of time from when the electrocardiogram data was generated, and outputting the risk score to at least one of a memory or a display for viewing by a medical practitioner or healthcare administrator. The system includes at least one processor executing instructions to carry out the steps of the method.

Abstract: A method for determining cardiology disease risk from electrocardiogram trace data and clinical data includes receiving electrocardiogram trace data associated with a patient, receiving the patient's clinical data, providing both sets of data to a trained machine learning composite model that is trained to evaluate the data with respect to each disease of a set of cardiology diseases including three or more of cardiac amyloidosis, aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, tricuspid regurgitation, abnormal reduced ejection fraction, or abnormal interventricular septal thickness, generating, by the model and based on the evaluation, a composite risk score reflecting a likelihood of the patient being diagnosed with one or more of the cardiology diseases within a predetermined period of time from when the electrocardiogram trace data was generated, and outputting the composite risk score to at least one of a memory or a display.

Abstract: A snow ski assembly is provided for use by an individual to slide across a snow covered surface, for example, under the force of gravity. The assembly includes a ski having a bottom wall for engaging the snow covered surface and an upturned peripheral region extending around a perimeter of the bottom wall. The bottom wall of the ski includes at least one control structure extending across at least a portion of the bottom wall, where the at least one control structure is configured to control a movement of the ski on the snow covered surface. The assembly also includes a mounting feature configured to couple a binding to the bottom wall of the ski, such that the individual can position a foot in the binding and use the ski to slide across the snow covered surface.

Abstract: A snow ski assembly is provided for use by an individual to slide across a snow covered surface, for example, under the force of gravity. The assembly includes a ski having a bottom wall for engaging a snow covered surface and an upturned peripheral region extending around a perimeter of the bottom wall to help facilitate sliding movement of the ski across a snow covered surface in any direction, without preference to a particular direction, and to help inhibit the ski from digging into the snow covered surface when sliding across the snow covered surface. The assembly also includes a mounting feature for coupling a binding to the bottom wall of the ski, such that an individual can position a foot in the binding and use the ski to slide across the snow covered surface.

Abstract: A method and system for predicting the likelihood that a patient will suffer from atrial fibrillation is provided. The method includes receiving electrocardiogram data associated with the patient, providing at least a portion of the electrocardiogram data to a trained model, receiving a risk score indicative of the likelihood the patient will suffer from atrial fibrillation within a predetermined period of time from when the electrocardiogram data was generated, and outputting the risk score to at least one of a memory or a display for viewing by a medical practitioner or healthcare administrator. The system includes at least one processor executing instructions to carry out the steps of the method.

Abstract: A snow ski assembly is provided for use by an individual to slide across a snow covered surface, for example, under the force of gravity. The assembly includes a ski having a bottom wall for engaging a snow covered surface and an upturned peripheral region extending around a perimeter of the bottom wall to help facilitate sliding movement of the ski across a snow covered surface in any direction, without preference to a particular direction, and to help inhibit the ski from digging into the snow covered surface when sliding across the snow covered surface. The assembly also includes a mounting feature for coupling a binding to the bottom wall of the ski, such that an individual can position a foot in the binding and use the ski to slide across the snow covered surface.

Abstract: A snow ski assembly is provided for use by an individual to slide across a snow covered surface, for example, under the force of gravity. The assembly includes a ski having a bottom wall for engaging a snow covered surface and an upturned peripheral region extending around a perimeter of the bottom wall to help facilitate sliding movement of the ski across a snow covered surface in any direction, without preference to a particular direction, and to help inhibit the ski from digging into the snow covered surface when sliding across the snow covered surface. The assembly also includes a mounting feature for coupling a binding to the bottom wall of the ski, such that an individual can position a foot in the binding and use the ski to slide across the snow covered surface.

Abstract: A snow ski assembly is provided for use by an individual to slide across a snow covered surface, for example, under the force of gravity. The assembly includes a ski having a bottom wall for engaging a snow covered surface and an upturned peripheral region extending around a perimeter of the bottom wall to help facilitate sliding movement of the ski across a snow covered surface in any direction, without preference to a particular direction, and to help inhibit the ski from digging into the snow covered surface when sliding across the snow covered surface. The assembly also includes a mounting feature for coupling a binding to the bottom wall of the ski, such that an individual can position a foot in the binding and use the ski to slide across the snow covered surface.

Abstract: A child resistant medication package and associated system can enable compliance and anti-diversion features. The medication package can include a timing reminder, can detect and record a compliance history of each dose of medication, and can include anti-tamper capabilities to ensure doses are removed in the intended fashion. The medication package can have the capability to exchange data with other devices, including personal computers. The associated system can include a central database that receives data from the medication package, and provides for the transmission of data between various system locations, including not only the individual medication package, but also, for example, drug manufacturers, pharmacies, physician offices, law enforcement agencies, and a database managing agency.