Abstract: Ultrasound imaging is a non-invasive, non-radioactive, and low cost technology for diagnosis and identification of implantable medical devices in real time. Developing new ultrasound activated coatings is important to broaden the utility of in vivo marking by ultrasound imaging. Ultrasound responsive macro-phase segregated micro-composite thin films were developed to be coated on medical devices composed of multiple materials and with multiple shapes and varying surface area. The macro-phase segregated films having silica micro-shells in polycyanoacrylate produces strong color Doppler signals with the use of a standard clinical ultrasound transducer. Electron microscopy showed a macro-phase separation during slow curing of the cyanoacrylate adhesive, as air-filled silica micro-shells were driven to the surface of the film. The air sealed in the hollow space of the silica shells acted as an ultrasound contrast agent and echo decorrelation of air exposed to ultrasound waves produces color Doppler signals.

Abstract: The disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that utilize a variety of machine learning models and a base limit value model to generate user interface elements that transparently and efficiently present current and future base limit values for user accounts. For example, the disclosed systems can utilize a machine learning model to determine a base limit value, subsequent base limit value, and user activity conditions to achieve the subsequent base limit value for a user account. Then, the disclosed systems can display a base limit progress element that indicates progress towards fulfilling the user activity conditions to achieve the subsequent base limit value. For example, the disclosed systems can display, within a graphical user interface, multiple base limit progress elements that indicate progress towards fulfilling the user activity conditions in separate time-based segments (e.g.

Abstract: A method, a system, and a computer program product for visually identifying the at least one target subject within a real-time view of a current scene. The method includes capturing, by at least one image sensor, a real-time view of a current scene. The method further includes performing a visual analysis of the real-time view to identify at least one subject. The method further includes: receiving, in real-time, a natural language input which includes verbal utterances of at least one speaker; and identifying, within the natural language input, a description of at least one particular subject. The method further includes: analyzing the current scene to identify at least one target subject that matches the description of the at least one particular subject; and in response to identifying the at least one target subject, applying at least one visual identifier to the real-time view of the current scene.

Abstract: A method, a system, and a computer program product for visually identifying the at least one target subject within a real-time view of a current scene. The method includes capturing, by at least one image sensor, a real-time view of a current scene. The method further includes performing a visual analysis of the real-time view to identify at least one subject. The method further includes: receiving, in real-time, a natural language input which includes verbal utterances of at least one speaker; and identifying, within the natural language input, a description of at least one particular subject. The method further includes: analyzing the current scene to identify at least one target subject that matches the description of the at least one particular subject; and in response to identifying the at least one target subject, applying at least one visual identifier to the real-time view of the current scene.

Abstract: According to one example embodiment there is disclosed a system having a touch sensitive component responsive to a pen-based input includes a memory or storage device storing a symbol library defining at least one symbol representative of at least one logograph, pictograph or ideogram, the symbol library information specifying a topology structure defining sub-regions that symbol elements can appear in the at least one logograph, pictograph or ideogram, and a processor operatively connected to the touch sensitive component and the memory or storage device and operative to execute program instructions to interpret hand drawn indicia to identify at least one symbol based on recognizing at least one symbol element and its respective position in a sub-region.

Abstract: A device includes a transceiver, a microphone, a sensor, and a controller coupled to receive signals from the sensor and to place the device into a mute mode when the signals from the sensor are indicative of a user action to reduce transmission of the user's voice.

Abstract: A method includes tracking pointing device interaction with a multi-user page via a pointing device, identifying a portion of the multi-user page via the interaction, and establishing an exclusive access zone corresponding to the identified portion for the user as a function of the tracked pointing device interaction.

Abstract: A mobile networked device includes a processor, a control program stored on a computer readable medium, a sensor to detect whether the networked device is being held by a user, and wherein the control program receives signals from the sensor and places the device into an in-hand mode when the received signals are representative of the user holding the device.

Abstract: According to one example embodiment there is disclosed a system having a touch sensitive component responsive to a pen-based input includes a memory or storage device storing a symbol library defining at least one symbol representative of at least one logograph, pictograph or ideogram, the symbol library information specifying a topology structure defining sub-regions that symbol elements can appear in the at least one logograph, pictograph or ideogram, and a processor operatively connected to the touch sensitive component and the memory or storage device and operative to execute program instructions to interpret hand drawn indicia to identify at least one symbol based on recognizing at least one symbol element and its respective position in a sub-region.

Abstract: A mobile networked device includes a processor, a control program stored on a computer readable medium, a sensor to detect whether the networked device is being held by a user, and wherein the control program receives signals from the sensor and places the device into an in-hand mode when the received signals are representative of the user holding the device.

Abstract: A device includes a transceiver, a microphone, a sensor, and a controller coupled to receive signals from the sensor and to place the device into a mute mode when the signals from the sensor are indicative of a user action to reduce transmission of the user's voice.