35 results about "Adhesion factor" patented technology

Coatings including adhesion factors for the surfaces of implantable medical articles are disclosed. The coatings are used to improve the function of the device by promoting a pro-healing response following implantation. The coatings can modulate endothelialization of the article surface to reduce the risk of adverse tissue responses that may reduce the functionality of the device.

The invention provides a tissue repair scaffold, as well as a preparation method and usage thereof. At least one surface of the tissue repair scaffold comprises a composite fiber which comprises an adhesion factor and a hydrophobic synthetic material. The surface comprising the composite fiber enables the tissue repair scaffold of the invention to be endowed with good tissue adhesive force and conformability and adhere well to a tissue anatomic structure. The tissue repair scaffold can be either sutured or non-sutured.

The present invention relates to endothelial and smooth muscle cells genetically altered to express or over-express one or more cell adhesion factors. The invention further relates to cells genetically altered to express or over-express both cell proliferation growth factor(s) and cell adhesion factor(s). In addition, the present invention relates to nucleic acid constructs and nucleic acid construct systems that encode the cell adhesion and cell proliferation growth factors that are used to transfect / transform the cells so that they can express the factors.

The invention relates to a simulation method for traction control of a rail vehicle. The simulation method for traction control of the rail vehicle comprises a wheel speed of the vehicle to change as a first input of the simulation, an adhesion factor of a rail surface to change as a second input of the simulation and an output which is a calculated motor load torque and / or a vehicle speed according to the a vehicle tractive load model, wherein the tractive load model comprises a force transmission model considering an interaction between wheels and rails. The simulation method for traction control of the rail vehicle is suitable for a simulation application of traction control of a motor train unit, a metro and an inter-city train.

The invention provides a multi-epitope vaccine for a helicobacter pylori tetravalent adhesion, wherein the activity of the multi-epitope vaccine is presented as a polypeptide which mainly consists of urease A and B subunits, superior Th and B cell epitopes or fragments of three outer membrane proteins (Lpp20, HpaA and CagL) as well as cholera toxin B subunit. According to the invention, an artificial gene is synthesized by virtue of gene synthesis technology, wherein the synthesized artificial gene consists of urease A and B subunits, and superior Th and B cell epitopes or fragments of three outer membrane proteins (Lpp20, HpaA and CagL), and the artificial gene is coupled with gene sequence of the cholera toxin B subunit, so as to form a fusion gene. The fusion gene is expressed by escherichia coli, and upon protein purification, the tetravalent adhesion multi-epitope vaccine is obtained. The vaccine can be used for inducing a body to generate T cellullar immunologic response and specific antibody humoral immune response in accordance with the urease A and B subunits and the three outer membrane proteins (Lpp20, HpaA and CagL); and the vaccine is suitable for preventing and controlling helicobacter pylori infection related diseases.

The present invention relates to the fusion protein of TNFα and DC-SIGN and its application. Traditional anti-tumor drugs or treatment methods tend to cause damage to normal cells in the process of killing tumor cells. The targeted anti-tumor fusion protein of the present invention consists of a recognition functional domain, an action functional domain, and a connecting peptide connecting the two functional domains. The recognition functional domain is a lectin polypeptide with the function of recognizing and binding sugar chains on the surface of tumor cells-specific intercellular adhesion factor 3 on the surface of DCs binding to non-integrin molecules (DC-SIGN, dendritic-cell-specific? ICAM- 3-grabbing? nonintegrin), located at the C-terminus of the fusion protein; the functional domain is tumor necrosis factor (TNF), located at the N-terminus of the fusion protein; the connecting peptide is a short peptide containing 8-25 amino acids. The fusion protein can use lectin to carry out targeted combination with cancer cells, induce apoptosis of cancer cells through pro-apoptotic ligands, and at the same time reduce the killing effect on normal tissues and cells.

The invention discloses a cascade sliding-mode observer and an adhesion factor and derivative estimation method. The cascade sliding-mode observer comprises a load torque observer and a load torque derivative observer; firstly a dynamical model for the operational process of a heavy load locomotive is created, a state equation for an adhesion control system is created according to a motor torque balance equation, a scheme for estimating the adhesion factor by a load torque is proposed, then the cascade sliding-mode observer is designed, the stability of the cascade sliding-mode observer is proved with the help of a Lyapunov stability theory, and then a sliding mode variable structure equivalence control principle is utilized to create an algorithm for estimating the adhesion factor and a derivative. The direct differential computation of a signal is avoided, the derivative of the load torque is estimated according to the sliding mode variable structure equivalence principle, and a method for inhibiting the buffeting of the sliding-mode observer is provided; the algorithm is simple and easy to implement; an observation value and an actual value are matched through simulation and experiments, and the effectiveness of the algorithm is verified.

The invention relates to a vehicle curve safety vehicle speed predication and pre-warning system based on multiple regression analysis. The vehicle curve safety vehicle speed predication and pre-warning system based on the multiple regression analysis comprises a test data collection module, a test data pre-processing module, a test data analysis module, a safety vehicle speed model database, a curve information module, a vehicle type judging module and a curve safety vehicle speed pre-warning module. According to the vehicle curve safety vehicle speed predication and pre-warning system basedon the multiple regression analysis, desired test data are collected, multiple linear regression analysis is carried out on processed test data to obtain a critical transverse adhesion factor model and a transverse load transfer rate model, and the critical transverse adhesion factor model and the transverse load transfer rate model are converted by using a formula to obtain a safety vehicle speedmodel. Collected curve pavement data and vehicle types are input into the safety vehicle speed model database. A curve safety predicated vehicle speed is obtained after calculation and displayed on an LED display screen at the entrance of a curve to warn a driver of a curve safety passing vehicle speed. According to the vehicle curve safety vehicle speed predication and pre-warning system based on the multiple regression analysis, the influences of multiple factors on the curve safety vehicle speed are comprehensively considered, and the curve safety vehicle speed can be accurately predicatedto provide a safety pre-warning vehicle speed for the driver so that the vehicle stably and safely runs through the curve.

The related real-time test method for vertical adhesion feature between tyre and road comprises: arranging the testing tyre on a wheel of running test vehicle, detecting the drive torsion and wheel rate by sensor fixed on vehicle drive wheel, and obtaining the wheel rate omega of driven wheel by the sensor on driven wheel; according to the normal pressure N and wheel radius rw, calculating the adhesion factor mu and drive wheel trackslip rate lambda by formula (1) and (2). Wherein, it uses a data process SCM programmed as (1) and (2) to receive rate and torsion signal, calculate target value and send to note-book to record, store and display.