Abstract: Various embodiments of a system and associated method for detecting and classifying faults in a photovoltaic array using graph-based signal processing.

Abstract: Various embodiments of a system and associated method for detection of COVID-19 and other respiratory diseases through classification of audio samples are disclosed herein. The system utilizes features directly extracted from the coughing audio and develops automated diagnostic tools for COVID-19. In particular, the present application discusses a novel modification of a deep neural network architecture by using log-mel spectrograms of the audio excerpts and by optimizing a combination of binary cross-entropy and focal loss parameters. One embodiment of the system achieved an average validation AUC of 82.23% and a test AUC of 78.3% at a sensitivity of 80.49%.

Abstract: Various embodiments of a system and associated method for detecting and classifying faults in a photovoltaic array using graph-based signal processing.

Abstract: A method includes receiving medical image data from an image sharing application running on a sharing device. The method further includes determining a category of medical information represented in the medical image data. The method also includes identifying a viewing device to view the medical image data. The method additionally includes transmitting, to the viewing device, a request for confirmation of a medical condition associated with the category of medical information, wherein the request allows the viewing device to view the medical image data in an image viewing application running on the viewing device before an end of a timeout period. The method further includes receiving, from the viewing device, a signal confirming the medical condition based on the medical image data. The method also includes in response to receiving the signal, transmitting an activation signal to each member user device of a medical team associated with the viewing device.

Abstract: Methods of identifying and selecting subjects for treatment with a low molecular weight heparin (LMWH) composition are provided. Methods of treatment with the LMWH compositions are also provided.

Abstract: An electronic voting system comprising of one or more intelligent fixed in place voting machines, mobile voting machines and one or more trusted servers connected by secure wired or wireless communication means to enable electronic voting. A secure system for electronic voting by means of dynamically reconfiguring the mobile device as a mobile voting machine, said mobile voting machine communicating voice and data information with one or more trusted election servers to enable electronic voting in real time by leveraging the processing power/databases resident on the mobile device and or the processing power/databases resident on the trusted election servers. A system for providing disabled voters with enhanced utility by means such as language translation, speech recognition and other features by enabling the desired and enhanced functionality by using the processing power of the mobile device by itself and or in conjunction with the processing power of the local, central and or network server.

Abstract: A system and computer-implemented method of converting a contention scope attribute of a user thread executing in a multithreaded environment are described. The method includes dynamically converting the contention scope attribute of the user thread running in the multithreaded environment between a process scope and a system scope. In changing from system scope to process scope, the kernel thread to which the user thread is mapped is converted to a scheduler activation thread, the contention attribute for the user thread is reset in a threads library and the user thread is added to the run queue of a relevant virtual processor. In changing from process scope to system scope, the underlying scheduler activation kernel thread is permanently and exclusively mapped to the user thread to achieve a system scope for the thread. And a replacement scheduler activation kernel thread is created for other user threads of the same process previously sharing the original scheduler activation kernel thread.