Ford Motor Company

About: Ford Motor Company is a company organization based out in Dearborn, Michigan, United States. It is known for research contribution in the topics: Internal combustion engine & Signal. The organization has 36123 authors who have published 51450 publications receiving 855200 citations. The organization is also known as: Ford Motor & Ford Motor Corporation.

Neurorestorative treatment of stroke: Cell and pharmacological approaches

Abstract: There is a compelling need to develop cell and pharmacological therapeutic approaches to be administered beyond the hyperacute phase of stroke. These therapies capitalize on the capacity of the brain for neuroregeneration and neuroplasticity and are designed to reduce neurological deficits after stroke. This review provides an update of bone marrow-derived mesenchymal stem cells (MSCs) and select pharmacological agents in clinical use for other indications that promote the recovery process in the subacute and chronic phases after stroke. Among these agents are 3-hydroxy-3-methylglutaryl-coenzyme A reductase inhibitors (statins), erythropoietin (EPO), and phosphodiesterase type 5 (PDE-5) inhibitors and nitric oxide (NO) donors. Both the MSCs and the pharmacologic agents potentiate brain plasticity and neurobehavioral recovery after stroke.

Integrated vehicle control system using dynamically determined vehicle conditions

Abstract: A vehicle includes a control system that is used to control a vehicle system. The control system determines a roll condition in response to a yaw rate sensor and a pitch rate sensor without having to use a roll rate sensor. A relative roll angle, relative pitch angle, global roll angle, and global pitch angle may also be determined. A safety system may be controlled in response to the roll condition, roll angle, or the pitch angles individually or in combination.

Macroscopic quantum interference in superconductors

Abstract: The Josephson effect allows supercurrents to flow through thin tunnel barriers separating two super-conductors. The dc critical current depends directly on the quantum phase difference of the superconducting wave function on the two sides of the barrier. This paper is an experimental study of interference phenomena in multiply connected superconductors utilizing Josephson tunneling. The results are a striking confirmation of the extensive phase coherence of the superconducting state. London's theory is used in conjunction with Josephson's prediction to explain the observations. Modulation of the maximum supercurrent flow through junction-pair devices was measured in an applied magnetic field and showed periodicities resulting from quantum wave interference. These interference "fringes" were found to occur even when the magnetic flux is confined to a region not accessible to the superconductor. Another experiment allows the measurement of an interference directly attributable to phase modulation by the superconducting electrondrift velocity. These results offer a direct verification of long-range quantum behavior in the superconducting state and further demonstrate the validity and usefulness of Josephson tunneling methods.

Neuro‐genetic algorithm for non‐linear active control of structures

Abstract: In a companion paper, a new non-linear control model was presented for active control of three-dimensional (3D) building structures including geometrical and material non-linearities, coupling action between lateral and torsional motions, and actuator dynamics (Int. J. Numer. Meth. Engng; DOI: 10.1002/nme.2195). A dynamic fuzzy wavelet neuroemulator was presented for predicting the structural response in future time steps. In this paper, a new neuro-genetic algorithm or controller is presented for finding the optimal control forces. The control algorithm does not need the pre-training required in a neural network-based controller, which improves the efficiency of the general control methodology significantly. Two 3D steel building structures, a 12-story structure with vertical setbacks and an 8-story structure with plan irregularity, are used to validate the neuro-genetic control algorithm under three different seismic excitations. Numerical validations demonstrate that the new control methodology significantly reduces the displacements of buildings subjected to various seismic excitations including structures with plan and elevation irregularities.