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 present invention provides a tissue repair scaffold and a preparation method and purpose thereof. The tissue repair scaffold comprises at least one composite fiber layer, and the composite fiber layer comprises a composite fiber formed by an adhesion factor and a hydrophobic synthetic material. The composite fiber layer may further form a porous three-dimensional mesh structure with a hydrophilic material. The tissue repair scaffold is applied to brain meninge repair, spinal meninge repair, a tissue engineering scaffold material, artificial skin, a wound assistant, a biological membrane, a wound cladding material, a hemostatic material, a postoperative adhesion prevention material, or a cosmetic material.

The invention discloses a heavy haul locomotive anti-skid control method based on an asymmetric barrier liapunov function. The method is used for controlling the torque of a traction motor of a heavy haul locomotive. According to the method, an adhesion factor sliding-mode observer and an asymmetric barrier liapunov anti-skid controller are involved. The asymmetric barrier liapunov anti-skid controller comprises a creep state distinguishing unit, an asymmetric barrier liapunov function selecting unit and a traction motor torque given value calculation unit, and the given torque value of the traction motor of the heavy haul locomotive is calculated. By adoption of the heavy haul locomotive anti-skid control method based on the asymmetric barrier liapunov function, accurate anti-skid control over the heavy haul locomotive can be achieved under the conditions of variation of all types of complex road surfaces. In addition, through design of the adhesion factor sliding-mode observer based on a sliding-mode observer, the adhesion factor is accurately measured, and the flexibility and the stability of a heavy haul locomotive anti-skid control system are further improved.

This invention disclosed an identification method for road surface attachment coefficient by car. The procedure is as follows: calculate the attachment coefficient of the wheel by wheel speed, output torque and vertical load; estimate whether the wheel attachment coefficient close to the road surface attachment coefficient. If yes, deem the wheel attachment coefficient as the road surface attachment coefficient; if no, estimate again. Stability control device could work efficiently by using this invention.

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.

The invention provides a tissue repair support and its preparation method and use. The tissue repair support comprises a porous tridimensional network structure composed of a composite fiber layer and a hydrophilic material. The composite fiber layer comprises composite fibers composed of an adhesion factor and a hydrophobic synthesis material. The tissue repair support is used for meninge repair, spinal meninge repair, a tissue engineering support material, artificial skin, a wound accessory material, a biomembrane, a wound cladding material, a haemostasis material, a postoperative antistick material or a beauty treatment material.

Rhodococcus equi (R.equi) has been determined to have a major adhesion factor encoded by a rpl pathogenicity island which enables host colonisation, wherein the rpl pathogenicity islandis absent from non-pathogenic Rhodococcus species. Further, the proteins (Rpl) encoded by the rpl pathogenicity islandhave been determined to be major immunodominant antigens. There is provided a novel diagnostic marker and vaccine candidate for R. equi in horses and other susceptible species.

Provided in the invention is a tip of an atomic force microscope probe. The probe tip is characterized in that: the tip comprises: a helicobacter pylori; a gold particle layer covered on the outer surface of the helicobacter pylori; and a helicobacter pylori adhesion factor modified on the outer surface of the gold particle layer. Besides, the invention also provides an atomic force microscope probe including the tip as well as a method for detecting capability of adhesion between helicobacter pylori and gastric mucus. According to the invention, on the basis of atomic force microscopy (AFM), a condition of contact between helicobacter pylori and gastric mucus in a natural state is substantially simulated by utilizing characteristics of high precision and real-time observation of the AFM, so that it becomes possible to carry out on-site research on a submicron acting force between an adhesion factor and the gastric mucus in the scale of micron meters; and mechanical information that is obtained by utilizing a force curve is converted into adhesive work according to a formula, thereby carrying out accurate quantification on the capability of adhesion between the adhesion factor on the surface of the helicobacter pylori and the gastric mucus.