65 research outputs found
Dopamine fails to regulate activation of peripheral blood lymphocytes from multiple sclerosis patients: effects of IFN-beta
No full textThe neurotransmitter dopamine counteracts T cell functions through its specific receptor subtype D5R but favors T cell proliferation and adhesion when acting on D3R. We found diminished mRNA and protein levels of D5R, but not of D3R, in peripheral blood mononuclear cells (PBMCs) from untreated multiple sclerosis (MS) patients. Dopamine reduced T cell proliferation, secretion of interferon-gamma (IFN-gamma), and production of matrix metalloproteinase-9 (MMP-9) mRNA in PBMCs from controls but not from MS patients. By contrast, reduced levels of D3R and renewed dopamine-associated regulatory functions were found in PBMCs from IFN-beta treated MS patients. Failure of the dopaminergic system of lymphocytes may lessen the threshold of T cell activation and sustain the pathogenic cascade of MS
Post-receptorial mechanisms underlie functional disregulation of beta2-adrenergic receptors in lymphocytes from Multiple Sclerosis patients
No full textAdaptive control method and system in a terrestrial vehicle for tracking a route, particularly in an autonomous driving scenario
No full textA method is described for the control of the lateral movement of a terrestrial vehicle arranged to track a predetermined trajectory, particularly in an assisted driving or autonomous driving scenario, comprising: determining a lateral offset of the vehicle center of mass from the predetermined trajectory; determining a look-ahead error defined as a distance of a virtual look-ahead position of the vehicle center of mass from the predetermined trajectory; and controlling the steering angle of the vehicle so as to also minimize the lateral offset and the first derivative of said look-ahead error over time
PROCEDIMENTO E SISTEMA DI PIANIFICAZIONE DI UN PERCORSO PER UN VEICOLO TERRESTRE PER ELUSIONE DI OSTACOLI CON RAPIDA REAZIONE, PARTICOLARMENTE IN UNO SCENARIO DI GUIDA AUTONOMA
No full textGenetic algorithm parameters estimation applied to vehicle powertrain dynamics
No full textTypically, in the automotive field, classic estimation or filtering techniques (e.g. Least Squares, Kalman Filter) are used to characterize models. However, in scenarios in which there is a lack of data or some quantities are not available from CAN (Controller Area Network) acquisitions or from datasheets, only simple and poorly accurate models can be obtained. This paper presents an innovative approach that allows avoiding these difficulties: the Genetic Algorithm applied to parameters estimation of powertrain models for the longitudinal dynamic of the vehicle. By employing this technique, parameters estimation is possible even for particularly complex models. The considered approach was tuned and tested in simulation environment showing promising results. Thereafter, the CAN acquired target quantities needed for the minimization, e.g. the engine torque and the wheel speed, and the outputs of the Genetic Algorithm identified model have been compared showing the effectiveness of the proposed approach in real data validation
METHOD AND SYSTEM FOR PLANNING A PATH FOR A LAND VEHICLE FOR OBSTACLE AVOIDANCE WITH FAST REACTION, PARTICULARLY IN AN AUTONOMOUS DRIVE SCENARIO
No full textApplication of high-resolution 3D-T2-ZOOMit in the evaluation of inter-hemispheric cysts in patients with dysgenesis of corpus callosum: technical aspects and imaging patterns at 3T-MRI
No full textImmunomodulatory properties of increased levels of liver X receptor beta in peripheral blood mononuclear cells from multiple sclerosis patients
No full textPath planning method for computing optimal parking maneuvers for road vehicles and corresponding system
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