Abstract: An illustrative example method of classifying a detected object includes detecting an object, determining that an estimated velocity of the object is below a preselected threshold velocity requiring classification, determining a time during which the object has been detected, determining a first distance the object moves during the time determining a speed of the object from the first distance and the time, determining a second distance that a centroid of the detected object moves during the time, and classifying the detected object as a slow moving object or a stationary object based on a relationship between the first and second distances and a relationship between the estimated velocity and the speed.

Abstract: An illustrative example method of tracking a detected object comprises determining that a tracked object is near a host vehicle, determining an estimated velocity of the tracked object, and classifying the tracked object as frozen relative to stationary ground when the estimated velocity is below a preselected object threshold and a speed of the host vehicle is below a preselected host threshold.

Abstract: An illustrative example method of tracking an object includes detecting one or more points on the object over time to obtain a plurality of detections, determining a position of each of the detections, determining a relationship between the determined positions, and determining an estimated heading angle of the object based on the relationship.

Abstract: An illustrative example method of tracking a moving object includes determining an initial pointing angle of the object from a tracking device, determining an estimated position of a selected feature on the object based upon the initial pointing angle, determining a velocity vector at the estimated position, determining a lateral acceleration at the estimated position based upon the velocity vector and a yaw rate of the object, determining a sideslip angle of the selected feature based on the lateral acceleration, and determining a refined pointing angle of the object from the determined sideslip angle.

Abstract: An illustrative example method of tracking a moving object includes determining a heading angle of a centroid of the object from a tracking sensor, determining a raw difference value corresponding to a difference between a pointing angle of a selected feature on the object and the heading angle, wherein the raw difference is based on a trajectory curvature of the centroid from the tracking sensor and a distance between the centroid and the selected feature, determining a filtered difference between the pointing angle and the heading angle using a low pass filter, and determining the pointing angle by subtracting the filtered difference from the heading angle.

Abstract: FSP27 compositions and methods for treating cancers are described.

Abstract: Methods and FSP27 compositions for treating and/or preventing metabolic disease and conditions associated insulin resistance, obesity, inflammation and dyslipidemia are described.

Abstract: An illustrative example method of tracking a detected object comprises determining that a tracked object is near a host vehicle, determining an estimated velocity of the tracked object, and classifying the tracked object as frozen relative to stationary ground when the estimated velocity is below a preselected object threshold and a speed of the host vehicle is below a preselected host threshold.

Abstract: An illustrative example method of classifying a detected object includes detecting an object, determining that an estimated velocity of the object is below a preselected threshold velocity requiring classification, determining a time during which the object has been detected, determining a first distance the object moves during the time determining a speed of the object from the first distance and the time, determining a second distance that a centroid of the detected object moves during the time, and classifying the detected object as a slow moving object or a stationary object based on a relationship between the first and second distances and a relationship between the estimated velocity and the speed.

Abstract: An illustrative example method of tracking a moving object includes determining an initial pointing angle of the object from a tracking device, determining an estimated position of a selected feature on the object based upon the initial pointing angle, determining a velocity vector at the estimated position, determining a lateral acceleration at the estimated position based upon the velocity vector and a yaw rate of the object, determining a sideslip angle of the selected feature based on the lateral acceleration, and determining a refined pointing angle of the object from the determined sideslip angle.

Abstract: An illustrative example method of tracking a moving object includes determining a heading angle of a centroid of the object from a tracking sensor, determining a raw difference value corresponding to a difference between a pointing angle of a selected feature on the object and the heading angle, wherein the raw difference is based on a trajectory curvature of the centroid from the tracking sensor and a distance between the centroid and the selected feature, determining a filtered difference between the pointing angle and the heading angle using a low pass filter, and determining the pointing angle by subtracting the filtered difference from the heading angle.

Abstract: In some embodiments, the present invention provides a method of elevating lipid content in vegetative (non-seed) plant or algae cells, plant tissues, or whole plants by genetically modifying the plant or algae to express a lipid droplet-associated protein or polypeptide (such as fat-specific protein 27) of mammalian origin. Also provided are genetically-modified plant or algae cells, plant tissues, or whole plants with elevated cellular lipid content, expressing a lipid droplet-associated protein or polypeptide (such as fat-specific protein 27) of mammalian (e.g. human) origin.

Abstract: Methods and devices provide a wireless communications hub device and services enabling remote access to electronic medical or fitness devices in a manner that simplifies device networking. A wireless communication hub device may include a processor and wireless communication transceivers configured to connect to cellular and/or WiFi networks to access a remote server, and wired and/or wireless local networks for connecting to electronic medical or fitness devices. The wireless communication hub device may plug into a power source, connect to an electronic medical or fitness device, and communicate via a second wireless network with an associated server-based service. The system enables discovery of the wireless communication hub device and connected electronic medical or fitness devices.

Abstract: A method and system to control power transmission between two Near Field Communication (NFC) devices with and without data transfer using NFC technology are provided. The method includes transferring at least a portion of power between two NFC devices using different RF signals and appropriate NFC Transceivers. The method controls the power transmission between two NFC devices by proposed changes in NFC Digital Protocol, LLCP (Logical Link Control Protocol) and in the application flow control.

Abstract: Methods and devices provide a wireless communications hub device and services enabling remote access to electronic medical or fitness devices in a manner that simplifies device networking. A wireless communication hub device may include a processor and wireless communication transceivers configured to connect to cellular and/or WiFi networks to access a remote server, and wired and/or wireless local networks for connecting to electronic medical or fitness devices. The wireless communication hub device may plug into a power source, connect to an electronic medical or fitness device, and communicate via a second wireless network with an associated server-based service. The system enables discovery of the wireless communication hub device and connected electronic medical or fitness devices.

Abstract: In some embodiments, the present invention provides a method of elevating lipid content in vegetative (non-seed) plant or algal cells, plant tissues, or whole plants by genetically modifying the plant or algae to express a protein or polypeptide associated with lipid metabolism (such as fat-specific protein 27) of animal origin or plant origin. Also provided are genetically-modified plant or algal cells, plant tissues, or whole plants with elevated cellular lipid content, expressing a protein or polypeptide associated with lipid metabolism (such as fat-specific protein 27) of animal (e.g. human) origin or plant origin.

Abstract: In some embodiments, the present invention provides a method of elevating lipid content in vegetative (non-seed) plant or algae cells, plant tissues, or whole plants by genetically modifying the plant or algae to express a lipid droplet-associated protein or polypeptide (such as fat-specific protein 27) of mammalian origin. Also provided are genetically-modified plant or algae cells, plant tissues, or whole plants with elevated cellular lipid content, expressing a lipid droplet-associated protein or polypeptide (such as fat-specific protein 27) of mammalian (e.g. human) origin.

Abstract: When reporting a channel quality metric, such as a channel quality index (CQI) to a base station, a user equipment (UE) may base its report on a calculated spectral efficiency for allocated data channels. The UE may calculate a spectral efficiency metric over a number of subframes to arrive at an average spectral efficiency measurement which may be converted to CQI and reported to a base station.

Abstract: An outer loop for channel quality metric estimation may analyze channel realization and perform adaptive averaging to correct for an inner loop bias. The outer loop may take into account varying channel conditions and may adjust a reported channel quality metric up or down depending on throughput.